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Toxics, Volume 10, Issue 12 (December 2022) – 89 articles

Cover Story (view full-size image): In the environment, fish are exposed to mixtures of various pollutants that may affect their health. Pharmaceuticals such as antidepressants are designed to be bioactive at low concentrations. Due to the phylogenetic conservation of molecular targets, they can also influence non-target organisms. In addition to the pollution by dissolved environmental chemicals, microplastics as a potential environmental stressor have come into the focus of scientific and public interest. In this study, the influence of the antidepressant amitriptyline and polystyrene microplastics on juvenile brown trout (Salmo trutta f. fario) was assessed from the biochemical to the individual level. View this paper
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7 pages, 262 KiB  
Article
Fatal Methanol Poisoning Caused by Drinking Industrial Alcohol: Silesia Region, Poland, April–June 2022
by Marcin Tomsia, Małgorzata Głaz, Joanna Nowicka, Julia Cieśla, Maciej Sosnowski and Elżbieta Chełmecka
Toxics 2022, 10(12), 800; https://doi.org/10.3390/toxics10120800 - 19 Dec 2022
Cited by 5 | Viewed by 2866
Abstract
Methanol poisonings caused by drinking industrial alcohol remain a severe problem worldwide. Education on types of alcohol and their harmfulness and legal regulations limiting the industrial alcohol trade seem to be the keys to reducing the number of poisonings. Methanol distribution in different [...] Read more.
Methanol poisonings caused by drinking industrial alcohol remain a severe problem worldwide. Education on types of alcohol and their harmfulness and legal regulations limiting the industrial alcohol trade seem to be the keys to reducing the number of poisonings. Methanol distribution in different tissues after absorption is not well understood. This research aimed to quantify the methanol and formic acid distribution in body fluids and tissue material in post-mortem samples collected from 19 fatal victims of massive intoxication with industrial alcohol in the Silesia Region (Poland) who died between April and June 2022. The samples were analyzed using a gas chromatography–flame ionization detector (GC-FID), and correlation coefficients for methanol and formic acid were determined. The results show a wide distribution of methanol and formic acid in human post-mortem biological fluids (blood, urine, vitreous humor, bile, and cerebrospinal fluid) and tissues (muscle, kidney, liver, spleen, lung, and brain). The strongest correlation for methanol concentration in blood and body fluids/tissues was obtained in the cerebrospinal fluid (r = 0.997) and for formic acid in muscle tissue (r = 0.931). The obtained results may be a valuable tool in toxicological analysis and improve medical standards of early diagnosis and targeted treatment. Full article
(This article belongs to the Special Issue Advance in Forensic Toxicology)
10 pages, 266 KiB  
Article
Perfluoroalkyl Substance Serum Concentrations and Cholesterol Absorption-Inhibiting Medication Ezetimibe
by Ge Ma and Alan Ducatman
Toxics 2022, 10(12), 799; https://doi.org/10.3390/toxics10120799 - 19 Dec 2022
Cited by 3 | Viewed by 2017
Abstract
Background: Per- and polyfluoroalkyl substances (PFAS) are human-made compounds with a widespread presence in human blood and other organs. PFAS have been associated with multiple health effects, including higher serum cholesterol and LDL cholesterol. Objective: Potential population differences in serum PFAS attributable to [...] Read more.
Background: Per- and polyfluoroalkyl substances (PFAS) are human-made compounds with a widespread presence in human blood and other organs. PFAS have been associated with multiple health effects, including higher serum cholesterol and LDL cholesterol. Objective: Potential population differences in serum PFAS attributable to ezetimibe, a medication that inhibits cholesterol absorption, are of interest for several reasons. The “C8” Health Project survey data from six contaminated water districts in the mid-Ohio Valley of the United States provide a wide enough range of serum PFAS and a sufficient number of ezetimibe takers to explore this topic. Methods: A total of 44,126 adult participants of the C8 Health Survey were included in the community-based study. The status of taking (1075) or non-taking of ezetimibe, alone or in combination with another lipid-lowering agent, was acquired. The geometric mean serum concentrations of the four most commonly detected serum PFAS were compared based on the status of ezetimibe use. Results: There is no significant difference in serum concentrations of perfluorohexanesulfonic acid (PFHxS), perfluorooctanoic acid (PFOA), perfluorooctanesulfonic acid (PFOS), and perfluorononanoic acid (PFNA) between ezetimibe users and non-users after adjustment for age, sex, body mass index, estimated glomerular filtration rate (eGFR), cigarette smoking, education, and average household income. Conclusion: The sterol absorption-inhibiting medication ezetimibe does not appear to affect serum PFAS concentrations. We sought but did not find direct evidence that ezetimibe could inhibit PFAS uptake nor inferential evidence that inter-individual differences in sterol absorption could provide a confounding factor explanation for the association of serum total- and LDL-cholesterol with serum PFAS. Full article
(This article belongs to the Section Drugs Toxicity)
13 pages, 3828 KiB  
Article
Effect of Low-Molecular Organic Acids on the Migration Characteristics of Nickel in Reclaimed Soil from The Panyi Mine Area in China
by Yonghong Zheng, Jiangwei Lu, Zhiguo Zhang, Yating Li, Yuning Tan, Weiqing Cai, Chengnan Ma and Fangling Chen
Toxics 2022, 10(12), 798; https://doi.org/10.3390/toxics10120798 - 19 Dec 2022
Cited by 3 | Viewed by 1637
Abstract
This study investigated the effects of low molecular weight organic acids (citric acid and malic acid) on the migration properties of nickel in soil. A reclaimed soil sample was obtained from the Panyi Mine in Huainan City, China. The effects of adding different [...] Read more.
This study investigated the effects of low molecular weight organic acids (citric acid and malic acid) on the migration properties of nickel in soil. A reclaimed soil sample was obtained from the Panyi Mine in Huainan City, China. The effects of adding different concentrations of Ni, citric acid (CA) and malic acid (MA) were assessed on the migration and transformation of soil Ni forms. The results showed: (1) An increase in soil Ni activity with increasing Ni concentrations. (2) An increased proportion of exchangeable forms of Ni in soil with increased malic acid and citric acid concentrations, effectively promoting Ni mobility. In addition, the active Ni fraction in reclaimed soil increased significantly with increasing concentrations of citric and malic acid. The nickel activation effect of citric acid was found to be higher than that of malic acid. (3) The activation effect of organic acids on Ni weakened with aging, exhibiting a gradual transformation from the loosely bound form of Ni, to the strongly bound form. The results of this study provide a theoretical basis for improving the effectiveness and efficiency of the phytoremediation techniques used for the treatment of Ni-polluted soils. Full article
(This article belongs to the Section Toxicity Reduction and Environmental Remediation)
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Figure 1

Figure 1
<p>Distribution of different Ni forms after the addition of exogenous Ni (0, 100, 200, 300, 600 mg/kg) to the mine soil.</p>
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<p>Distribution of different Ni forms after the addition of citric acid (0, 1, 10 mmol/L) to the air-dried mine soil.</p>
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<p>Distribution of different Ni forms in Ni-100 soil after the addition of citric acid (0, 1, 10 mmol/L).</p>
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<p>Distribution of different Ni forms in Ni-200 soil after the addition of citric acid (0, 1, 10 mmol/L).</p>
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<p>Distribution of different Ni forms in Ni-300 soil after the addition of citric acid (0, 1, 10 mmol/L).</p>
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<p>Distribution of different Ni forms in Ni-600 soil after the addition of citric acid (0, 1, 10 mmol/L).</p>
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<p>Distribution of different Ni forms after the addition of malic acid (0, 1, 10 mmol/L) to the air-dried mine soil.</p>
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<p>Distribution of different Ni forms in Ni-100 soil after the addition of malic acid (0, 1, 10 mmol/L).</p>
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<p>Distribution of different Ni forms in Ni-200 soil after the addition of malic acid (0, 1, 10 mmol/L).</p>
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<p>Distribution of different Ni forms in Ni-300 soil after the addition of malic acid (0, 1, 10 mmol/L).</p>
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<p>Distribution of different Ni forms in Ni-600 soil after the addition of malic acid (0, 1, 10 mmol/L).</p>
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<p>Distribution of different Ni forms at different aging times (1, 3, 5, 7, 15, and 30 days) after the addition of citric acid to Ni-300 mg/kg contaminated soil.</p>
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<p>Distribution of different Ni forms at different aging times (1, 3, 5, 7, 15, and 30 days) after the addition of malic acid to Ni-300 mg/kg contaminated soil.</p>
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16 pages, 6634 KiB  
Article
T Cells Contribute to Pathological Responses in the Non-Targeted Rat Heart following Irradiation of the Kidneys
by Marek Lenarczyk, Ammar J. Alsheikh, Eric P. Cohen, Dörthe Schaue, Amy Kronenberg, Aron Geurts, Slade Klawikowski, David Mattson and John E. Baker
Toxics 2022, 10(12), 797; https://doi.org/10.3390/toxics10120797 - 18 Dec 2022
Cited by 5 | Viewed by 1926 | Correction
Abstract
Heart disease is a significant adverse event caused by radiotherapy for some cancers. Identifying the origins of radiogenic heart disease will allow therapies to be developed. Previous studies showed non-targeted effects manifest as fibrosis in the non-irradiated heart after 120 days following targeted [...] Read more.
Heart disease is a significant adverse event caused by radiotherapy for some cancers. Identifying the origins of radiogenic heart disease will allow therapies to be developed. Previous studies showed non-targeted effects manifest as fibrosis in the non-irradiated heart after 120 days following targeted X-irradiation of the kidneys with 10 Gy in WAG/RijCmcr rats. To demonstrate the involvement of T cells in driving pathophysiological responses in the out-of-field heart, and to characterize the timing of immune cell engagement, we created and validated a T cell knock downrat on the WAG genetic backgrou nd. Irradiation of the kidneys with 10 Gy of X-rays in wild-type rats resulted in infiltration of T cells, natural killer cells, and macrophages after 120 days, and none of these after 40 days, suggesting immune cell engagement is a late response. The radiation nephropathy and cardiac fibrosis that resulted in these animals after 120 days was significantly decreased in irradiated T cell depleted rats. We conclude that T cells function as an effector cell in communicating signals from the irradiated kidneys which cause pathologic remodeling of non-targeted heart. Full article
(This article belongs to the Special Issue Radiation Exposure and Health Effects)
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Figure 1

Figure 1
<p>Image-guided localized kidney radiation technique. Computed tomography images of a representative male rat at 5–6 weeks of age with a 1.5-cm-diameter collimator plan of 5 Gy encompassing both kidneys in equally weighted beams (two laterals) are shown in the axial (<b>A</b>), sagittal (<b>B</b>), and coronal (<b>C</b>) planes. The kidneys are located within the central circle of each image. (<b>D</b>) dose volume histogram demonstrating dose to the kidneys.</p>
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<p>Immune cell infiltration of the cortex and medulla of kidney after local X-irradiation with 10 Gy in wild-type rat. (<b>A</b>) T cells (CD3<sup>+</sup>), natural killer cells (CD56<sup>+</sup>) and macrophages (CD68<sup>+</sup>) appear as brown color. The horizontal scale bar represents 100 microns. Images are representative data from 3–4 animals per group. Quantification of immune cells in cortex and medulla of kidney. (<b>B</b>) Comparison of changes between 20 days and 120 days. Data are mean + SEM. * = <span class="html-italic">p</span> &lt; 0.05 vs. sham-irradiated control. *** = <span class="html-italic">p</span> &lt; 0.001 vs. sham-irradiated control.</p>
Full article ">Figure 2 Cont.
<p>Immune cell infiltration of the cortex and medulla of kidney after local X-irradiation with 10 Gy in wild-type rat. (<b>A</b>) T cells (CD3<sup>+</sup>), natural killer cells (CD56<sup>+</sup>) and macrophages (CD68<sup>+</sup>) appear as brown color. The horizontal scale bar represents 100 microns. Images are representative data from 3–4 animals per group. Quantification of immune cells in cortex and medulla of kidney. (<b>B</b>) Comparison of changes between 20 days and 120 days. Data are mean + SEM. * = <span class="html-italic">p</span> &lt; 0.05 vs. sham-irradiated control. *** = <span class="html-italic">p</span> &lt; 0.001 vs. sham-irradiated control.</p>
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<p>Immune cells in heart 120 days after local irradiation of kidneys with 10 Gy of X-rays in wild-type rat. T cells (CD3<sup>+</sup>), natural killer cells (CD56<sup>+</sup>), and macrophages (CD68<sup>+</sup>) appear as brown color. The horizontal scale bar represents 100 microns. Images are representative data from 3–4 animals per group. Quantification of immune cells in heart. Data are mean + SEM. ** = <span class="html-italic">p</span> &lt; 0.01 vs. sham-irradiated control.</p>
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<p>Effective knock down of circulating T lymphocytes in WAG<sup>CD247-/-</sup> rats. (<b>A</b>) Representative histogram of peripheral blood mononuclear cell showing CD3<sup>+</sup> staining cell counts gated on CD45<sup>+</sup> total leukocytes demonstrating depletion of CD3<sup>+</sup> T lymphocytes in circulation of male WAG<sup>CD247-/-</sup> rats at 5–6 weeks of age. (<b>B</b>) Summary of the numbers of CD45+ total leukocytes and CD3<sup>+</sup> T lymphocytes in circulation of WAG<sup>CD247-/-</sup> compared to their wild-type WAG littermate controls. CD3<sup>+</sup> lymphocytes were present at very low levels in WAG<sup>CD247-/-</sup> rats. Data are mean + SEM, <span class="html-italic">n</span> = 3–5 per group. ** = <span class="html-italic">p</span> &lt; 0.01 vs. wild-type. *** = <span class="html-italic">p</span> &lt; 0.001 vs. wild-type.</p>
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<p>Blood urea nitrogen after local irradiation of the kidneys with 10 Gy of X-rays in wild-type and WAG<sup>CD247-/-</sup> rats. BUN levels 40–120 days after the start of the study. Data are mean + SEM. <span class="html-italic">n</span> = 6/group. * = <span class="html-italic">p</span> &lt; 0.05 vs. wild-type. ** = <span class="html-italic">p</span> &lt; 0.01 vs. wild-type. *** = <span class="html-italic">p</span> &lt; 0.001 vs. wild-type.</p>
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<p>Collagen deposition in heart after local irradiation of kidneys with 10 Gy of X-rays in wild-type and WAG<sup>CD247-/-</sup> rats. (<b>A</b>) Trichrome staining of heart. The horizontal scale bar represents 100 microns. Images are representative data from 3–4 animals per group. (<b>B</b>). Quantification of perivascular cardiac collagen content in hearts of wild type and WAG<sup>CD247-/-</sup> rats 120 days after the start of the study. Data are mean + SD, <span class="html-italic">n</span> = 6/group.</p>
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<p>Immune cells in cortex and medulla of kidney 40 days after local irradiation with 10 Gy of X-rays in A. wild-type WAG and B. WAG<sup>CD247-/-</sup> rats. T cells (CD3<sup>+</sup>), natural killer cells (CD56<sup>+</sup>), macrophages (CD68<sup>+</sup>) and B cells (CD20<sup>+</sup>) appear as brown color. The horizontal scale bar represents 100 microns. Images are representative data from 3–4 animals per group. Quantification of immune cells in kidney. Data are mean + SEM.</p>
Full article ">Figure 7 Cont.
<p>Immune cells in cortex and medulla of kidney 40 days after local irradiation with 10 Gy of X-rays in A. wild-type WAG and B. WAG<sup>CD247-/-</sup> rats. T cells (CD3<sup>+</sup>), natural killer cells (CD56<sup>+</sup>), macrophages (CD68<sup>+</sup>) and B cells (CD20<sup>+</sup>) appear as brown color. The horizontal scale bar represents 100 microns. Images are representative data from 3–4 animals per group. Quantification of immune cells in kidney. Data are mean + SEM.</p>
Full article ">Figure 7 Cont.
<p>Immune cells in cortex and medulla of kidney 40 days after local irradiation with 10 Gy of X-rays in A. wild-type WAG and B. WAG<sup>CD247-/-</sup> rats. T cells (CD3<sup>+</sup>), natural killer cells (CD56<sup>+</sup>), macrophages (CD68<sup>+</sup>) and B cells (CD20<sup>+</sup>) appear as brown color. The horizontal scale bar represents 100 microns. Images are representative data from 3–4 animals per group. Quantification of immune cells in kidney. Data are mean + SEM.</p>
Full article ">Figure 8
<p>Collagen deposition in kidney after local irradiation with 10 Gy of X-rays in wild type WAG and WAG<sup>CD247-/-</sup> rats. Trichrome staining of kidney. The horizontal scale bar represents 100 microns. Images are representative data from 3–4 animals per group. Quantification of collagen deposition in kidney. Data are mean + SEM.</p>
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29 pages, 13423 KiB  
Article
Reducing Virus Transmission from Heating, Ventilation, and Air Conditioning Systems of Urban Subways
by Ata Nazari, Jiarong Hong, Farzad Taghizadeh-Hesary and Farhad Taghizadeh-Hesary
Toxics 2022, 10(12), 796; https://doi.org/10.3390/toxics10120796 - 17 Dec 2022
Cited by 10 | Viewed by 3355
Abstract
Aerosols carrying the virus inside enclosed spaces is an important mode of transmission for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as supported by growing evidence. Urban subways are one of the most frequented enclosed spaces. The subway is a utilitarian and low-cost [...] Read more.
Aerosols carrying the virus inside enclosed spaces is an important mode of transmission for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as supported by growing evidence. Urban subways are one of the most frequented enclosed spaces. The subway is a utilitarian and low-cost transit system in modern society. However, studies are yet to demonstrate patterns of viral transmission in subway heating, ventilation, and air conditioning (HVAC) systems. To fill this gap, we performed a computational investigation of the airflow (and associated aerosol transmission) in an urban subway cabin equipped with an HVAC system. We employed a transport equation for aerosol concentration, which was added to the basic buoyant solver to resolve the aerosol transmission inside the subway cabin. This was achieved by considering the thermal, turbulent, and induced ventilation flow effects. Using the probability of encountering aerosols on sampling surfaces crossing the passenger breathing zones, we detected the highest infection risk zones inside the urban subway under different settings. We proposed a novel HVAC system that can impede aerosol spread, both vertically and horizontally, inside the cabin. In the conventional model, the maximum probability of encountering aerosols from the breathing of infected individuals near the fresh-air ducts was equal to 51.2%. This decreased to 3.5% in the proposed HVAC model. Overall, using the proposed HVAC system for urban subways led to a decrease in the mean value of the probability of encountering the aerosol by approximately 84% compared with that of the conventional system. Full article
(This article belongs to the Topic Environmental Toxicology and Human Health)
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Figure 1

Figure 1
<p>Schematic of a conventional urban subway car having supply air ducts, exhaust ducts, recirculated air ducts, and seats.</p>
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<p>Schematic of a breathing source within the urban subway cabin, showing two mannequins (one standing and one seated) representing infected passengers.</p>
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<p>Schematic of mesh configuration for the present work. (<b>a</b>,<b>b</b>) are side views of urban subway fine mesh, (<b>c</b>) is the back view of fine mesh, and (<b>d</b>) is the front view of fine mesh.</p>
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<p>Schematic of mesh configuration for the present work. (<b>a</b>,<b>b</b>) are side views of urban subway fine mesh, (<b>c</b>) is the back view of fine mesh, and (<b>d</b>) is the front view of fine mesh.</p>
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<p>Schematic of mesh configuration for the present work, showing two mannequins. (<b>a</b>) the front view of the meshed mannequins, (<b>b</b>) the back view of meshed mannequins.</p>
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<p>Positions and locations of the evaluated cases.</p>
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<p>Log<sub>10</sub>(DR) at 20 cm in front of mouth vs position along the height of urban subway obtained using coarse mesh 500,000, fine mesh 900,000, and finest mesh 1,300,000 (the structures of these meshes are shown in <a href="#toxics-10-00796-f003" class="html-fig">Figure 3</a>). <span class="html-italic">DR</span> is the ratio of the continuous breathing source concentration to the initial concentration in the subway cabin.</p>
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<p>Comparison between a conventional (<b>left side</b>) and the proposed (<b>right side</b>) HVAC systems for an urban subway cabin.</p>
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<p>Comparison between the streamlines of a conventional (<b>a</b>) and the proposed (<b>b</b>) urban subway HVAC systems. The velocity contours shown are in the mid-planes.</p>
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<p>Time evolution of the counters of log<sub>10</sub>(DR) when the infected individual was standing near the supply and recirculated air ducts of the proposed (<b>a</b>) and conventional (<b>b</b>) HVAC systems (Case 1).</p>
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<p>Time evolution of the counters of log<sub>10</sub>(DR) when the infected individual was sitting near the supply air and recirculated ducts of the proposed (<b>a</b>) and conventional (<b>b</b>) HVAC systems (Case 2).</p>
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<p>Time evolution of the counters of log<sub>10</sub>(DR) when the infected individual is standing near the supply air ducts of the proposed (<b>a</b>) and conventional (<b>b</b>) HVAC systems (Case 3).</p>
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<p>Time evolution of the counters of log<sub>10</sub>(DR) when the infected individual is sitting near the supply air ducts of the proposed (<b>a</b>) and conventional (<b>b</b>) HVAC systems (Case 4).</p>
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<p>Time evolution of the counters of log<sub>10</sub>(DR) when the infected individual is standing near the recirculated ducts of the proposed (<b>a</b>) and conventional (<b>b</b>) HVAC systems (Case 5).</p>
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<p>Time evolution of the counters of log<sub>10</sub>(DR) when the infected individual is sitting near the recirculated ducts of the proposed (<b>a</b>) and conventional (<b>b</b>) HVAC systems (Case 6).</p>
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<p>Comparison of aerosol encounter probability for cases 1 to 6.</p>
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<p>Evolution of the counters of log<sub>10</sub>(DR) when the infected individual is standing near the supply air ducts of the conventional HVAC systems (Case 3) at the time of 180 s for various temperatures (summer and winter season).</p>
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<p>Evolution of the counters of log<sub>10</sub>(DR) when the infected individual was standing near the supply air ducts of the conventional HVAC systems (Case 3) at the time of 180 s for various well-ventilated air change rates.</p>
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<p>Evolution of the counters of log<sub>10</sub>(DR) when the infected individual was standing near the supply air ducts of the conventional HVAC systems (Case 3) at the time of 180 s for various poorly ventilated air change rates.</p>
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<p>Evolution of the counters of log<sub>10</sub>(DR) when the infected individual was standing near the supply air ducts of the conventional HVAC systems (Case 3) with imperfect filtration at the time of 180 s for various removed particle present (RPP).</p>
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13 pages, 971 KiB  
Article
Ecotoxicity Study of Additives Composed of Zinc and Boron
by Šárka Petrová and Petr Soudek
Toxics 2022, 10(12), 795; https://doi.org/10.3390/toxics10120795 - 17 Dec 2022
Viewed by 1493
Abstract
The high use of additives containing zinc borate and their limited solubility in water both lead to its persistence and accumulation in biological systems. On the other hand, soluble forms of boron are easily available to plant roots and are taken up by [...] Read more.
The high use of additives containing zinc borate and their limited solubility in water both lead to its persistence and accumulation in biological systems. On the other hand, soluble forms of boron are easily available to plant roots and are taken up by plants. There are no ecotoxicological data available for zinc borate, the industrial utilization of which is widespread. Therefore, the potential toxicity of zinc borate and its dissociated compounds was evaluated. Based on two different ecotoxicology tests, their effect on plant growth was studied. Firstly, the impact on Lemna minor growth was investigated, including the effect on pigment content. Secondly, the inhibition of the root growth of higher plant species Sinapis alba (mustard), Lactuca sativa (lettuce) and Trifolium pretense (clover) was measured. The growth inhibition test on L. minor was more complex and sensitive compared to the plant seed germination test. Already low concentrations (10 mg/L) of ZnO, B2O3 and Zn3BO6 led to a decrease in frond growth and to an inhibition of the conversion of chlorophyll a to chlorophyll b. These results suggested that the stress caused by these additives caused damage to the photosynthetic apparatus. The highest inhibition of frond growth was detected in fronds treated with B2O3 (92–100%). In ZnO and Zn3BO6, the inhibition of frond growth was between 38 and 77%, with Zn3BO6 being slightly more toxic. In the seed germination test, the most sensitive species was lettuce, the growth of which was inhibited by 57, 83 and 53% in ZnO, B2O3 and Zn3BO6 treatments, respectively. However, the inhibitory effect on each plant was different. In lettuce and clover, the seed germination and root elongation decreased with increasing element concentrations. In contrast, in mustard, low concentrations of ZnO and Zn3BO6 supported the growth of roots. For that reason, more complex tests are essential to evaluate the additive toxicity in the environment. Full article
(This article belongs to the Special Issue Effect of Emerging Pollutants on Plants)
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Figure 1
<p>The relative growth rate of <span class="html-italic">L. minor</span> plants (based on counted frond number GR<sub>NUM</sub> and frond area GR<sub>AREA</sub>) after 7 days of growth in the solutions supplemented with ZnO, B<sub>2</sub>O<sub>3</sub> or Zn<sub>3</sub>BO<sub>6</sub>, respectively, at concentrations of 10, 50, 100, 250, 500 and 1000 mg/L. Control plants were grown in Steinberg solution; standard deviation is represented as ± S.D. (<span class="html-italic">n</span> = 3), and two-way ANOVA test with Dunnett’s multiple comparisons was applied. The average growth rate was calculated as the slope of the logarithmic growth curve.</p>
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<p>Chlorophyll a content in <span class="html-italic">L. minor</span> plants after 7 days of growth in the solutions supplemented with ZnO, B<sub>2</sub>O<sub>3</sub> or Zn<sub>3</sub>BO<sub>6</sub> at concentrations of 10, 50, 100, 250, 500 and 1000 mg/L. Control plants grew in Steinberg solution; standard deviation is represented as ± S.D. (<span class="html-italic">n</span> = 3), and two-way ANOVA test with Dunnett’s multiple comparisons was applied.</p>
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<p>Chlorophyll b content in <span class="html-italic">L. minor</span> plants after 7 days of growth in the solutions supplemented with ZnO, B<sub>2</sub>O<sub>3</sub> or Zn<sub>3</sub>BO<sub>6</sub>, respectively, at concentrations of 10, 50, 100, 250, 500 and 1000 mg/L. Control plants grew in Steinberg solution; standard deviation is represented as ± S.D. (<span class="html-italic">n</span> = 3), and two-way ANOVA test with Dunnett’s multiple comparisons was applied.</p>
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<p>Total carotenoid contents in <span class="html-italic">L. minor</span> plants after 7 days of growth in the solutions supplemented with ZnO, B<sub>2</sub>O<sub>3</sub> or Zn<sub>3</sub>BO<sub>6</sub>, respectively, at concentrations of 10, 50, 100, 250, 500 and 1000 mg/L. Control plants grew in Steinberg solution; standard deviation is represented as ± S.D. (<span class="html-italic">n</span> = 3), and two-way ANOVA test with Dunnett’s multiple comparisons was applied.</p>
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24 pages, 7395 KiB  
Review
The Status and Research Progress of Cadmium Pollution in Rice- (Oryza sativa L.) and Wheat- (Triticum aestivum L.) Cropping Systems in China: A Critical Review
by Yue Gao, Zengqiang Duan, Lingxiao Zhang, Da Sun and Xun Li
Toxics 2022, 10(12), 794; https://doi.org/10.3390/toxics10120794 - 16 Dec 2022
Cited by 16 | Viewed by 4365
Abstract
The accumulation of cadmium in rice (Oryza sativa L.) and wheat (Triticum aestivum L.) is a serious threat to the safe use of farmland and to the health of the human diet that has attracted extensive attention from researchers. In this [...] Read more.
The accumulation of cadmium in rice (Oryza sativa L.) and wheat (Triticum aestivum L.) is a serious threat to the safe use of farmland and to the health of the human diet that has attracted extensive attention from researchers. In this review, a bibliometric analysis was performed using a VOS viewer (1.6.18, Netherlands) to investigate the status of cadmium contamination in rice and wheat growing systems, human health risks, mechanisms of Cd uptake and transport, and the corresponding research hotspots. It has a certain reference value for the prevention and control of cadmium pollution in rice and wheat planting systems in China and abroad. The results showed that the Cd content in rice and wheat planting systems in the Yangtze River Basin was significantly higher than that in other areas of China, and the Cd content in rice and wheat grains and the hazard quotient (HQ) in Hunan Province was the highest. The average Cd concentration exceeded the recommended limit by about 62% for rice and 81% for wheat. The main reasons for the high Cd pollution in rice and wheat growing areas in Hunan are mining activities, phosphate fertilizer application, sewage irrigation, and electronic equipment manufacturing. In this review, we demonstrate that cadmium toxicity reduces the uptake and transport of essential elements in rice and wheat. Cadmium stress seriously affected the growth and morphology of plant roots. In the shoots, Cd toxicity was manifested by a series of physiological injuries, such as decreased photosynthesis, soluble protein, sugar, and antioxidant enzyme activity. Cadmium that accumulates in the shoots is transferred to grains and then passes up the food chain to people and animals. Therefore, methods for reducing cadmium content in grains of rice and wheat are urgently needed, especially in Cd-contaminated soil. Current research on Cd pollution in rice and wheat planting systems focuses on the bioavailability of Cd, soil rhizosphere changes in wheat and rice, and the role of antioxidant enzyme systems in alleviating heavy metal stress in rice and wheat. Full article
(This article belongs to the Special Issue Environmental and Health Effects of Heavy Metal)
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<p>Distribution of Cd concentrations in (<b>a</b>) rice and (<b>b</b>) wheat, based on data collected from previous studies.</p>
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<p>Distribution of Cd concentrations in (<b>a</b>) rice and (<b>b</b>) wheat, based on data collected from previous studies.</p>
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<p><span class="html-italic">HQ</span> of Cd in (<b>a</b>) rice and (<b>b</b>) wheat, based on data collected from previous studies.</p>
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<p>(<b>a</b>) <span class="html-italic">HQ</span>/2–6 yrs., (<b>b</b>) <span class="html-italic">HQ</span>/7–17 yrs., and (<b>c</b>) <span class="html-italic">HQ</span>/ ≥ 18 yrs. of Cd in rice, based on data collected from previous studies.</p>
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<p>(<b>a</b>) <span class="html-italic">HQ</span>/2–6 yrs., (<b>b</b>) <span class="html-italic">HQ</span>/7–17 yrs., and (<b>c</b>) <span class="html-italic">HQ</span>/ ≥ 18 yrs. of Cd in rice, based on data collected from previous studies.</p>
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<p>(<b>a</b>) <span class="html-italic">HQ</span>/2–6 yrs., (<b>b</b>) <span class="html-italic">HQ</span>/7–17 yrs., and (<b>c</b>) <span class="html-italic">HQ</span>/ ≥ 18 yrs. of Cd in wheat based on data collected from previous studies.</p>
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<p>(<b>a</b>) <span class="html-italic">HQ</span>/2–6 yrs., (<b>b</b>) <span class="html-italic">HQ</span>/7–17 yrs., and (<b>c</b>) <span class="html-italic">HQ</span>/ ≥ 18 yrs. of Cd in wheat based on data collected from previous studies.</p>
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<p>Analysis of research cooperation relationships between institutions.</p>
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<p>Annual trends in literature on cadmium pollution in rice and wheat cropping system from 2000 to 2022.</p>
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<p>Research hot keyword analysis in rice and wheat cropping system of cadmium pollution.</p>
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16 pages, 4704 KiB  
Article
Assessment of Lead (Pb) Toxicity in Juvenile Nile Tilapia, Oreochromis niloticus—Growth, Behaviour, Erythrocytes Abnormalities, and Histological Alterations in Vital Organs
by Tayeeba Ferdous Mahi, Gourab Chowdhury, Mohammad Amzad Hossain, Asim Kumar Baishnab, Petra Schneider and Mohammed Mahbub Iqbal
Toxics 2022, 10(12), 793; https://doi.org/10.3390/toxics10120793 - 16 Dec 2022
Cited by 9 | Viewed by 3412
Abstract
Lead (Pb) is one of the toxins responsible for the deterioration of ecological health in aquatic environments. The present study investigated the effects of Pb(NO3)2 toxicity on growth, blood cell morphology, and the histopathology of gills, liver, and intestine of [...] Read more.
Lead (Pb) is one of the toxins responsible for the deterioration of ecological health in aquatic environments. The present study investigated the effects of Pb(NO3)2 toxicity on growth, blood cell morphology, and the histopathology of gills, liver, and intestine of juvenile Nile tilapia, Oreochromis niloticus. A 30-day long aquarium trial was conducted by assigning three treatment groups T1 5.20 mg L−1, T2 10.40 mg L−1, and T3 20.80 mg L−1, and a control 0 mg L−1 following the 96 h LC50 of 51.96 mg L−1 from acute toxicity test. Overall growth performance significantly declined in all the Pb(NO3)2 treated groups and the highest mortality was recorded in T3. Behavioural abnormalities were intense in all the treatment groups compared to the control. Hepatosomatic index (HSI) values were reported as higher in treatment groups. Reduced nucleus diameter and nuclei size in erythrocytes were reported for T2 and T3 groups. Dose-dependent histological alterations were visible in the gills, liver, and intestine of all the Pb(NO3)2 treated groups. The width of the intestinal villi was highly extended in T3 showing signs of severe histological alterations. In conclusion, Pb toxicity causes a negative effect on growth performance, erythrocyte morphology, and affected the vital organs histomorphology of juvenile O. niloticus. Full article
(This article belongs to the Special Issue Environmental Pollution and Related Aquatic Ecotoxicity)
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<p>A flow chart illustrating the overall steps of the methodology.</p>
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<p>The 96 h Pb(NO<sub>3</sub>)<sub>2</sub> LC<sub>50</sub> regression curve for <span class="html-italic">O. niloticus</span>.</p>
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<p>The mortality rate of O. niloticus in different treatment groups. Different superscripts indicate significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Hepatosomatic (HSI) indices in different treatment groups. Different superscripts indicate significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Microscopic view of erythrocytes in different treatment groups; (<b>A</b>) Control, (<b>B</b>) T<sub>1</sub>, (<b>C</b>) T<sub>2</sub>, (<b>D</b>) T<sub>3</sub>. (E—erythrocytes, EN—elliptical nuclei; red arrows—shrinking nuclei, black arrows—erythrocytes with rupturing cell membrane, blue arrows—shape deformities); (<b>E</b>,<b>F</b>) Quantitative analysis of erythrocytes in different treatment groups. Different superscripts indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 (CD—cell diameter, ND–nucleus diameter).</p>
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<p>Longitudinal microscopic view of gills. (<b>A</b>) Control, (<b>B</b>) T<sub>1</sub>, (<b>C</b>) T<sub>2</sub>, (<b>D</b>) T<sub>3</sub> (PL—primary lamellae, SL—secondary lamellae, Pc–pillar cells, Ec—epithelial cells, E—erythrocytes, Bc—basal cells, DMC–diffusion of mucous cells, SLD—secondary lamellae damage, EL—epithelial lifting; white circle—acute necrosis, yellow arrows—congestion of basal cells, red arrows—shortening secondary lamellae, black arrows—damage of epithelial layer). Transverse photomicrographs of liver. (<b>E</b>) Control, (<b>F</b>) T<sub>1</sub>, (<b>G</b>) T<sub>2</sub>, (<b>H</b>) T<sub>3</sub> (Hc—hepatocytes, Nu—nuclei, LD—lipid droplets, LH–liver haemorrhage, NR–nuclear ruptures, DN—degenerated nuclei, MCR—massive cell rupture, V—vacuole; white circle—necrosis, black arrows—cell rupture, yellow arrows—erythrocyte infiltration in blood sinusoids).</p>
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<p>Longitudinal microscopic view of gills. (<b>A</b>) Control, (<b>B</b>) T<sub>1</sub>, (<b>C</b>) T<sub>2</sub>, (<b>D</b>) T<sub>3</sub> (PL—primary lamellae, SL—secondary lamellae, Pc–pillar cells, Ec—epithelial cells, E—erythrocytes, Bc—basal cells, DMC–diffusion of mucous cells, SLD—secondary lamellae damage, EL—epithelial lifting; white circle—acute necrosis, yellow arrows—congestion of basal cells, red arrows—shortening secondary lamellae, black arrows—damage of epithelial layer). Transverse photomicrographs of liver. (<b>E</b>) Control, (<b>F</b>) T<sub>1</sub>, (<b>G</b>) T<sub>2</sub>, (<b>H</b>) T<sub>3</sub> (Hc—hepatocytes, Nu—nuclei, LD—lipid droplets, LH–liver haemorrhage, NR–nuclear ruptures, DN—degenerated nuclei, MCR—massive cell rupture, V—vacuole; white circle—necrosis, black arrows—cell rupture, yellow arrows—erythrocyte infiltration in blood sinusoids).</p>
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<p>Transverse photomicrographs of the intestine. (<b>A</b>) Control, (<b>B</b>) T<sub>1</sub>, (<b>C</b>) T<sub>2</sub>, (<b>D</b>) T<sub>3</sub>. (BB—brush border, AV—absorptive vacuole, LP—lamina propria, L—lumen, EL—extended lumen, IV—increased vacuoles, DAV—disarranged absorptive vacuole; black arrows—tissue rapture, blue arrows—extended serosa, white both side arrows—wider villi); (<b>E</b>) Length and width of intestinal villi in different treatment groups. Different superscripts indicate significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Transverse photomicrographs of the intestine. (<b>A</b>) Control, (<b>B</b>) T<sub>1</sub>, (<b>C</b>) T<sub>2</sub>, (<b>D</b>) T<sub>3</sub>. (BB—brush border, AV—absorptive vacuole, LP—lamina propria, L—lumen, EL—extended lumen, IV—increased vacuoles, DAV—disarranged absorptive vacuole; black arrows—tissue rapture, blue arrows—extended serosa, white both side arrows—wider villi); (<b>E</b>) Length and width of intestinal villi in different treatment groups. Different superscripts indicate significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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12 pages, 2302 KiB  
Article
Polystyrene Microplastics Postpone APAP-Induced Liver Injury through Impeding Macrophage Polarization
by Jing Liu, Lecong Zhang, Fang Xu, Songyan Meng, Haitian Li and Yang Song
Toxics 2022, 10(12), 792; https://doi.org/10.3390/toxics10120792 - 16 Dec 2022
Cited by 6 | Viewed by 2256
Abstract
Polystyrene microplastics (PS MPs) are micrometer-scale items degraded from plastics and have been detected in various organisms. PS MPs have been identified as causing cognitive, cardiac, intestinal, and hepatic damage. However, their role in liver regeneration under drug-induced liver injury remains unknown. Thus, [...] Read more.
Polystyrene microplastics (PS MPs) are micrometer-scale items degraded from plastics and have been detected in various organisms. PS MPs have been identified as causing cognitive, cardiac, intestinal, and hepatic damage. However, their role in liver regeneration under drug-induced liver injury remains unknown. Thus, the current study aims to evaluate the impact of PS MPs on liver repair during APAP hepatotoxicity. PS MPs pretreatment exacerbates mice mortality and hepatocyte apoptosis, suppresses hepatic cell proliferation, and disturbs the inflammatory response in the APAP-induced damage model. Further mechanism exploration uncovers that prior PS MPs administration is sufficient to recruit neutrophils and macrophages, which are necessary for tissue recovery in the acute liver injury model. However, the polarization capacity of macrophages to anti-inflammatory sub-type is significantly delayed in PS MPs plus APAP group compared to the single APAP group, which is the leading cause of tissue repair suppression. Overall, the current study supports a new insight to realize the toxicity of PS MPs in acute liver injury, which should be considered in health risk assessment. Full article
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<p>PS MPs treatment exacerbates APAP-caused liver injury. (<b>A</b>) A schematic diagram of the experiment design. (<b>B</b>) Mortality and (<b>C</b>) liver and body weight ratio of mice received APAP, PS MPs and APAP combined with PS MPs (<span class="html-italic">n</span> ≥ 3). (<b>D</b>) The representative histological changes of liver section upon APAP, PS MPs and APAP combined with PS MPs through intragastric administration via H&amp;E staining (Original magnification was 100×. Damaged area was labeled inside yellow circle). (<b>E</b>) The activity of ALT in sera of mice. Asterisk (*) indicates <span class="html-italic">p</span> &lt; 0.05, ** denotes <span class="html-italic">p</span> &lt; 0.01, *** denotes <span class="html-italic">p</span> &lt; 0.001 compared to the control group.</p>
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<p>PS MPs accelerate cell apoptosis and suppress cell proliferation in APPA-induced liver damage. (<b>A</b>) Representative images of cell apoptosis in the liver section of mice after APAP, PS MPs and APAP combined with PS MPs administration through TUNEL staining (Brow dot, 400×). (<b>B</b>) The variation of hepatic Cidea mRNA in mice (<span class="html-italic">n</span> ≥ 3). (<b>C</b>) Immunohistochemical staining of Ki67 in liver section, positive cells were presented in brown (400×). (<b>D</b>) The changes of hepatic Foxm1b level, which indicates cell proliferation after APAP, PS MPs and APAP combined with PS MPs exposure (<span class="html-italic">n</span> ≥ 3). *: <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01 compared to control.</p>
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<p>PS MPs pretreatment enhances APAP-caused inflammatory response. The variation of transcriptional levels of (<b>A</b>) TNF-α, (<b>B</b>) IL-6, (<b>C</b>) IFN-γ, and (<b>D</b>) IL-10. (<span class="html-italic">n</span> ≥ 3). *: <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01, ***: <span class="html-italic">p</span> &lt; 0.001 compared to control.</p>
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<p>PS MPs pretreatment increased neutrophil recruitment capacity in mice after APAP injury. (<b>A</b>) Representative immunohistochemical staining of liver biopsy with Ly6G. Ly6G positive cells appeared in brown dots (red arrows). The changes of (<b>B</b>) Ly6G and (<b>C</b>) Cxcl-1 mRNA upon APAP, PS MPs and combined exposure (<span class="html-italic">n</span> ≥ 3). **: <span class="html-italic">p</span> &lt; 0.01, ***: <span class="html-italic">p</span> &lt; 0.001 compared to control.</p>
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<p>PS MPs pretreatment exhibited strong macrophage recruitment capacity after APAP injury. (<b>A</b>) The changes in CD68 expression were analyzed by Western blotting. Relative (<b>B</b>) Ccl2, (<b>C</b>) CCR2 and (<b>D</b>) Cx3cr-1 mRNA expression (<span class="html-italic">n</span> ≥ 3). *: <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01 compared to control.</p>
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<p>PS MPs treatment postponed macrophage transformation after APAP injury. The alterations of (<b>A</b>) iNOS, (<b>B</b>) IL-β, (<b>C</b>) Mrc1 and (<b>D</b>) Fizz1 in the liver after APAP, PS MPs and APAP combined with PS MPs administration (<span class="html-italic">n</span> ≥ 3). *: <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01, ***: <span class="html-italic">p</span> &lt; 0.001 compared to cotrol.</p>
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12 pages, 1484 KiB  
Article
Biofilm and Rivers: The Natural Association to Reduce Metals in Waters
by Nicoletta Guerrieri, Laura Fantozzi, Andrea Lami, Simona Musazzi, Martina Austoni, Arianna Orrù, Laura Marziali, Gigliola Borgonovo and Leonardo Scaglioni
Toxics 2022, 10(12), 791; https://doi.org/10.3390/toxics10120791 - 15 Dec 2022
Viewed by 1672
Abstract
This article focuses on a very peculiar habitat, the thin biofilm that covers the surface of rocks, cobbles, sediment grains, leaf litter, and vegetation on a riverbed. Species composition changes over time and depends on environmental conditions and perturbation of water quality. It [...] Read more.
This article focuses on a very peculiar habitat, the thin biofilm that covers the surface of rocks, cobbles, sediment grains, leaf litter, and vegetation on a riverbed. Species composition changes over time and depends on environmental conditions and perturbation of water quality. It provides several ecosystem services, contributing to the biogeochemical fluxes and reducing contamination by absorbing the pollutants. Biofilm into the Toce River (Ossola Valley, Piedmont, Italy) was investigated to assess its capacity to accumulate the metals and macroions from the water column. In this preliminary work, we investigated three sample points, in two different seasons. The community composition of biofilm was determined via morphological analysis (diatoms and non-diatoms algal community). We characterize the biofilm, a community of different organisms, from different perspectives. In the biofilm, Hg was analyzed with an automated mercury analyzer, other metals and macroions with inductively coupled plasma mass spectrometry (ICP-MS) (Al, As, Ba, Ca, Cr, Cu, Fe, K, Mg, Mn, Ni, P, Pb, and Zn), and the carotenoid and chlorophyll composition of the photosynthetic organism with HPLC analysis for the primary producers. The results evidence a seasonal pattern in metals and macroions levels in the biofilm, and a significant difference in the biofilm community and in carotenoid composition, suggesting the utility of using the biofilm as an additional bioindicator to monitor the water quality of the river. Full article
(This article belongs to the Special Issue Metal Oxidative Stress in Polluted Inland Water)
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<p>Study area and sites of the biofilm sampled in the Toce River (Ossola Valley).</p>
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<p>Number of non-diatom algal taxa observed in biofilm in March and in October. Site 1 (Villadossola), Site 2 (Bosco Tenso), Site 3 (Ornavasso).</p>
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<p>Chlorophyll, pheophytin, and carotenoid quantification in each biofilm sample in March and October. Site 1 (Villadossola), Site 2 (Bosco Tenso), Site 3 (Ornavasso). Dry weight = d.w.</p>
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<p>HPLC characterization of carotenoids in each biofilm sample. Carotenoids are reported in the legend with different colors. Site 1 (Villadossola), Site 2 (Bosco Tenso), Site 3 (Ornavasso).</p>
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<p>ICP-MS macroelements and microelements in the biofilm. Site 1 (Villadossola), Site 2 (Bosco Tenso), Site 3 (Ornavasso). Data reported on dry weight.</p>
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<p>Total Hg in the biofilm. Site 1 (Villadossola), Site 2 (Bosco Tenso), Site 3 (Ornavasso). Dry weight = d.w.</p>
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26 pages, 5979 KiB  
Article
Experiments on Pilot-Scale Constructed Floating Wetlands Efficiency in Removing Agrochemicals
by George Pavlidis, Ioanna Zotou, Helen Karasali, Anna Marousopoulou, Georgios Bariamis, Ioannis Nalbantis and Vassilios A. Tsihrintzis
Toxics 2022, 10(12), 790; https://doi.org/10.3390/toxics10120790 - 15 Dec 2022
Cited by 2 | Viewed by 2012
Abstract
The efficiency of constructed floating wetlands (CFWs) in their ability to remove agrochemicals (nutrients and pesticides) is here investigated in a series of pilot-scale systems. Four experimental CFWs were designed and constructed; three of them were planted with the aquatic plant species Lemna [...] Read more.
The efficiency of constructed floating wetlands (CFWs) in their ability to remove agrochemicals (nutrients and pesticides) is here investigated in a series of pilot-scale systems. Four experimental CFWs were designed and constructed; three of them were planted with the aquatic plant species Lemna minor, Azolla pinnata and Eichhornia crassipes. The fourth did not contain any plants and was used as the control. The aim of the study was to evaluate the efficiency of CFW containing aquatic macrophytes in the reduction of pesticides and nutrients, under field conditions. The CFWs operated continuously from May 2021 to September 2021, and their removal efficiencies of nitrogen and phosphorus ions, and five commonly used pesticides were examined. The CFW systems were fed daily with agricultural wastewater which was prepared by mixing a fertilizer and predetermined doses of pesticides. The hydraulic residence time was kept at 14 days. Samples were collected on a weekly basis from both the influent and the effluent of each experimental tank, and were subsequently analyzed in the laboratory. HPLC-DAD and Ion Chromatography were implemented for sample analysis following a very simple sample preparation. Reductions for nutrient ranged from no reduction to 100% removal, whereas for pesticides these varied from no reduction to 98.8% removal, indicating that these systems can be used as efficient and low-cost pollution control technologies for agrochemical wastewater treatment. Significant reduction for certain pesticides was also observed in the algae control tank, thus, proving the efficiency of algae in organic pollution reduction, and recognizing the limitations of aquatic plant use in decontamination. Full article
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<p>View of the main components of the experiment: (<b>a</b>) water hyacinth tank; (<b>b</b>) <span class="html-italic">Lemna minor</span> tank; (<b>c</b>) azola tank (<b>d</b>) control tank; (<b>e</b>) schematic representation of tanks.</p>
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<p>HPLC chromatogram representing the analyte peaks (as reported in <a href="#toxics-10-00790-t002" class="html-table">Table 2</a>).</p>
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<p>Temporal variation of (<b>a</b>) wastewater temperature, (<b>b</b>) pH and (<b>c</b>) electrical conductivity at the inlet and outlet of the four tanks throughout the operation period.</p>
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<p>Temporal variation of (<b>a</b>) salinity and (<b>b</b>) total dissolved solids at the inlet and the outlet of the four tanks throughout the operation period.</p>
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<p>Temporal variation of: (<b>a</b>) NH<sub>4</sub><sup>+</sup>-N, (<b>b</b>) PO<sub>4</sub><sup>3−</sup>-P, (<b>c</b>) NO<sub>3</sub><sup>−</sup>-N concentrations at the inlet and the outlet of the three tanks throughout the operation period.</p>
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<p>Temporal evolution of removal rate per examined tank and wastewater temperature for: (<b>a</b>) NH<sub>4</sub><sup>+</sup>-Ν, (<b>b</b>) PO<sub>4</sub><sup>3−</sup>-P, and (<b>c</b>) NO<sub>3</sub><sup>−</sup>-N.</p>
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<p>Temporal variation of: (<b>a</b>) Imidacloprid, (<b>b</b>) Thiacloprid, (<b>c</b>) Dimethomorph, (<b>d</b>) Myclobutanil and (<b>e</b>) Difenoconazole concentrations at the inlet and outlet of the three tanks throughout the operation period.</p>
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<p>Temporal variation of: (<b>a</b>) Imidacloprid, (<b>b</b>) Thiacloprid, (<b>c</b>) Dimethomorph, (<b>d</b>) Myclobutanil and (<b>e</b>) Difenoconazole concentrations at the inlet and outlet of the three tanks throughout the operation period.</p>
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<p>Temporal variation of removal rate per examined tank and wastewater temperature for: (<b>a</b>) Imidacloprid, (<b>b</b>) Thiacloprid, (<b>c</b>) Dimethomorph, (<b>d</b>) Myclobutanil, and (<b>e</b>) Difenoconazole.</p>
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<p>Temporal variation of removal rate per examined tank and wastewater temperature for: (<b>a</b>) Imidacloprid, (<b>b</b>) Thiacloprid, (<b>c</b>) Dimethomorph, (<b>d</b>) Myclobutanil, and (<b>e</b>) Difenoconazole.</p>
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<p>Temporal variation of (<b>a</b>) average weekly air temperature and solar radiation; (<b>b</b>) total weekly precipitation and average weekly wind speed; and (<b>c</b>) average weekly evaporation and evapotranspiration rates.</p>
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37 pages, 410 KiB  
Review
Exposure Levels of Pyrethroids, Chlorpyrifos and Glyphosate in EU—An Overview of Human Biomonitoring Studies Published since 2000
by Helle Raun Andersen, Loïc Rambaud, Margaux Riou, Jurgen Buekers, Sylvie Remy, Tamar Berman and Eva Govarts
Toxics 2022, 10(12), 789; https://doi.org/10.3390/toxics10120789 - 15 Dec 2022
Cited by 13 | Viewed by 1984
Abstract
Currently used pesticides are rapidly metabolised and excreted, primarily in urine, and urinary concentrations of pesticides/metabolites are therefore useful biomarkers for the integrated exposure from all sources. Pyrethroid insecticides, the organophosphate insecticide chlorpyrifos, and the herbicide glyphosate, were among the prioritised substances in [...] Read more.
Currently used pesticides are rapidly metabolised and excreted, primarily in urine, and urinary concentrations of pesticides/metabolites are therefore useful biomarkers for the integrated exposure from all sources. Pyrethroid insecticides, the organophosphate insecticide chlorpyrifos, and the herbicide glyphosate, were among the prioritised substances in the HBM4EU project and comparable human biomonitoring (HBM)-data were obtained from the HBM4EU Aligned Studies. The aim of this review was to supplement these data by presenting additional HBM studies of the priority pesticides across the HBM4EU partner countries published since 2000. We identified relevant studies (44 for pyrethroids, 23 for chlorpyrifos, 24 for glyphosate) by literature search using PubMed and Web of Science. Most studies were from the Western and Southern part of the EU and data were lacking from more than half of the HBM4EU-partner countries. Many studies were regional with relatively small sample size and few studies address residential and occupational exposure. Variation in urine sampling, analytical methods, and reporting of the HBM-data hampered the comparability of the results across studies. Despite these shortcomings, a widespread exposure to these substances in the general EU population with marked geographical differences was indicated. The findings emphasise the need for harmonisation of methods and reporting in future studies as initiated during HBM4EU. Full article
16 pages, 1580 KiB  
Review
Applications of In Silico Models to Predict Drug-Induced Liver Injury
by Jiaying Lin, Min Li, Wenyao Mak, Yufei Shi, Xiao Zhu, Zhijia Tang, Qingfeng He and Xiaoqiang Xiang
Toxics 2022, 10(12), 788; https://doi.org/10.3390/toxics10120788 - 14 Dec 2022
Cited by 5 | Viewed by 3046
Abstract
Drug-induced liver injury (DILI) is a major cause of the withdrawal of pre-marketed drugs, typically attributed to oxidative stress, mitochondrial damage, disrupted bile acid homeostasis, and innate immune-related inflammation. DILI can be divided into intrinsic and idiosyncratic DILI with cholestatic liver injury as [...] Read more.
Drug-induced liver injury (DILI) is a major cause of the withdrawal of pre-marketed drugs, typically attributed to oxidative stress, mitochondrial damage, disrupted bile acid homeostasis, and innate immune-related inflammation. DILI can be divided into intrinsic and idiosyncratic DILI with cholestatic liver injury as an important manifestation. The diagnosis of DILI remains a challenge today and relies on clinical judgment and knowledge of the insulting agent. Early prediction of hepatotoxicity is an important but still unfulfilled component of drug development. In response, in silico modeling has shown good potential to fill the missing puzzle. Computer algorithms, with machine learning and artificial intelligence as a representative, can be established to initiate a reaction on the given condition to predict DILI. DILIsym is a mechanistic approach that integrates physiologically based pharmacokinetic modeling with the mechanisms of hepatoxicity and has gained increasing popularity for DILI prediction. This article reviews existing in silico approaches utilized to predict DILI risks in clinical medication and provides an overview of the underlying principles and related practical applications. Full article
(This article belongs to the Section Drugs Toxicity)
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<p>The mechanisms of drug−induced liver injury (DILI). Bile acid (BA) is transported into hepatocytes by NTCP and OATP2 and drained into bile canaliculus through MRP2 and BSEP. After entering into hepatocytes through OATP3, unconjugated bilirubin (UB) can be converted into conjunction bilirubin (CB), which exits hepatocytes via MRP2/3. Aquaporin−8 (AQP8) is responsible for maintaining the osmotic water permeability of the canalicular membrane. Inhibition of both MRP2/3/4, BSEP, and AQP8 by drugs can induce accumulation of bile acid and result in cholestasis. Inhibition of NTCP and OATP2/3 can induce increased plasma levels of bile acid. Some hepatotoxic drugs or their metabolites can be recognized as reactive molecules that present a similar action like reactive oxygen species (ROS), which damage mitochondria and cellular macromolecules, or directly impair mitochondrial function and cause the excessive generation of ROS, resulting in cell injury and death. NTCP, sodium taurocholate cotransporting polypeptide. OATP, organic anion transporter polypeptide. MRP, multidrug resistance-associated protein. BSEP, bile salt export pump.</p>
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<p>The process of knowledge-based prediction. In knowledge-based prediction, drug properties including molecular descriptors, molecular fingerprints, gene expression profiles, cellular indicators, and their mode of action are used to develop a certain relationship rule with the existing drug-induced liver injury (DILI) outcome, using classification algorithm, shallow machine learning, or deep learning methods. Through sufficient training, validation, and refinements, these models can be applied to predict the DILI risk of a new drug by preliminary properties.</p>
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<p>The illustration of DILIsym. DILIsym model integrates physiologically based pharmacokinetic (PBPK) model, hepatotoxic mechanisms of drugs, and population variability to simulate the occurrence and development of drug−induced liver injury (DILI), predicting the time−dependent release of biomarkers into serum and assisting the determination of DILI mechanisms. Mitochondrial dysfunction can be further investigated in MITOsym.</p>
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24 pages, 7206 KiB  
Article
Adsorption Characteristics of Modified Bamboo Charcoal on Cu(II) and Cd(II) in Water
by Yizhuo Wang, He Li and Shaohua Lin
Toxics 2022, 10(12), 787; https://doi.org/10.3390/toxics10120787 - 14 Dec 2022
Cited by 3 | Viewed by 2142
Abstract
With the development of industry in recent years, heavy metal contamination in water and substrate, which may pose a serious threat to human health if left untreated, has attracted increasing attention. Biochar is commonly used as an adsorbent/immobilizer for heavy metals in water [...] Read more.
With the development of industry in recent years, heavy metal contamination in water and substrate, which may pose a serious threat to human health if left untreated, has attracted increasing attention. Biochar is commonly used as an adsorbent/immobilizer for heavy metals in water and substrates because of its wide range of raw materials, low production cost, and good adsorption performance. In this paper, we selected abundant Moso bamboo as the raw material to make biochar (bamboo charcoal), modified bamboo charcoal using different methods to find the modified product with the best adsorption effect, assessed the adsorption performance of modified bamboo charcoal on Cu(II) and Cd(II) in solution, and investigated the effects of the solution concentration, adsorption time, pH, and temperature on the adsorption effect of KAM500-400-3 on Cu(II) and Cd(II). The effect of the solution concentration, adsorption time, pH, and temperature on the adsorption effect of KAM500-400-3 on Cu(II) and Cd(II) was investigated, and the adsorption mechanism of KAM500-400-3 on heavy metals Cu(II) and Cd(II) was analyzed by fitting the adsorption kinetics, adsorption isotherms, and adsorption thermodynamics. The adsorption/fixation characteristics of modified bamboo charcoal on heavy metals Cu(II) and Cd(II) in water and substrate were investigated. This study aimed to identify an effective material for the treatment of heavy metals in water and substrates and provide a reference for their application in practical engineering. Full article
(This article belongs to the Section Toxicity Reduction and Environmental Remediation)
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<p>The adsorption capacity of Cu(II)/Cd(II) adsorbed by bamboo charcoal at different carbonization temperatures.</p>
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<p>The adsorption capacity of Cu(II)/Cd(II) adsorbed by KOH-modified carbon at different concentrations of KOH.</p>
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<p>The adsorption capacity of Cu(II)/Cd(II) by KOH-activated modified carbon at various alkali-to-carbon ratios.</p>
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<p>The adsorption capacity of Cu(II)/Cd(II) adsorbed by KOH-activated modified carbon at different activation temperatures.</p>
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<p>The adsorption capacity of Cu(II)/Cd(II) adsorbed by HNO<sub>3</sub>-modified carbon at different mass fractions of HNO<sub>3</sub>.</p>
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<p>SEM images of bamboo charcoal and modified bamboo charcoal.</p>
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<p>The FT—IR map of the bamboo charcoal and the modified bamboo charcoal.</p>
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<p>Effect of different initial concentrations on the adsorption of Cu(II /Cd(II) by KAM500-400-3.</p>
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<p>Effect of pH on the adsorption of Cu(II)/Cd(II) by KAM500-400-3.</p>
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<p>Effect of adsorption time on the adsorption of different concentrations of Cu(II)/Cd(II).</p>
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<p>Pseudo-first-order kinetic models of different concentrations of Cu(II)/Cd(II).</p>
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<p>Pseudo-second-order kinetic models of different concentrations of Cu(II)/Cd(II).</p>
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<p>Intraparticle diffusion models of different concentrations of Cu(II)/Cd(II).</p>
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<p>The KAM500-400-3 isothermal adsorption line adsorbing Cu(II)/Cd(II) at different temperatures.</p>
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<p>Langmuir models of KAM500-400-3 adsorbing Cu(II)/Cd(II) at different temperatures.</p>
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<p>Freundlich models of KAM500-400-3 adsorbing Cu(II)/Cd(II) at different temperatures.</p>
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13 pages, 3096 KiB  
Article
Ambient Benzo[a]pyrene’s Effect on Kinetic Modulation of Amyloid Beta Peptide Aggregation: A Tentative Association between Ultrafine Particulate Matter and Alzheimer’s Disease
by Samal Kaumbekova, Mehdi Amouei Torkmahalleh and Dhawal Shah
Toxics 2022, 10(12), 786; https://doi.org/10.3390/toxics10120786 - 14 Dec 2022
Cited by 4 | Viewed by 1702
Abstract
Long-time exposure to ambient ultrafine particles is associated with an increased risk of neurodegenerative diseases such as Alzheimer’s disease (AD), which is triggered by the aggregation of Aβ peptide monomers into toxic oligomers. Among different ultrafine air pollutants, polycyclic aromatic hydrocarbons (PAHs) are [...] Read more.
Long-time exposure to ambient ultrafine particles is associated with an increased risk of neurodegenerative diseases such as Alzheimer’s disease (AD), which is triggered by the aggregation of Aβ peptide monomers into toxic oligomers. Among different ultrafine air pollutants, polycyclic aromatic hydrocarbons (PAHs) are known to have a negative neural impact; however, the impact mechanism remains obscure. We herein examined the effect of Benzo[a]Pyrene (B[a]P), one of the typical PAHs on Aβ42 oligomerization using all-atom molecular dynamics simulations. In particular, the simulations were performed using four molecules of Aβ42 in the presence of 5.00 mM, 12.5 mM, and 50.0 mM of B[a]P. The results revealed strong hydrophobic interactions between Aβ42 peptides and B[a]P, which in turn resulted in increased interpeptide electrostatic interactions. Furthermore, 5.00 mM of B[a]P accelerated the kinetics of the formation of peptide tetramer by 30%, and stabilized C-terminus in Aβ42 peptides, suggesting consequent progression of AD in the presence of 5.00 mM B[a]P. In contrast, 12.5 mM and 50.0 mM of B[a]P decreased interpeptide interactions and H-bonding due to the aggregation of numerous B[a]P clusters with the peptides, suppressing oligomerization kinetics of Aβ42 peptides by 13% and 167%, respectively. While the study elucidates the effect of small environmental hydrophobic molecules on the formation of Aβ oligomers, the impact of ambient ultrafine particles on AD in the complex composition of the environmental realm requires further systematic delving into the field. Full article
(This article belongs to the Special Issue Nano and Ultrafine Particle Toxicology and Exposure Assessment)
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<p>Time-evolution of (<b>A</b>,<b>B</b>) average interpeptide distances during 500 ns of the simulation, (<b>C</b>) average distances between Aβ<sub>42</sub> peptides and B[a]P molecules during 500 ns of the simulation.</p>
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<p>Time-evolution of (<b>A</b>) Formation of interpeptide clusters during 500 ns of the simulation, (<b>B</b>) formation of clusters of Aβ<sub>42</sub> peptides and B[a]P molecules during 500 ns of the simulation.</p>
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<p>Composition of the secondary structure of the peptides averaged among the last 30 ns of the simulations.</p>
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<p>Representative snapshots of (<b>A</b>) four Aβ<sub>42</sub> monomers before the simulation; (<b>B</b>) interpeptide cluster of four Aβ<sub>42</sub> peptide monomers in the end of the simulation with no B[a]P; intermolecular cluster of four Aβ<sub>42</sub> peptide monomers and B[a]P in the end of the simulations with (<b>C</b>) 4 B[a]P molecules; (<b>D</b>) 10 B[a]P molecules; (<b>E</b>) 40 B[a]P molecules. Color index: 1. Secondary structure: beta sheet = yellow, bridge − beta = tan, alpha helix = purple, 3_10_Helix = blue, Pi-Helix = red, turn, bend = cyan, coil = white, 2. B[a]P molecule = grey.</p>
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<p>(<b>A</b>) RMSF of Aβ<sub>42</sub> peptide residues, averaged among four peptides in the systems under the study, in the last 30 ns of the simulations, (<b>B</b>) Time-evolution of Radius of Gyration (RoG) of Aβ<sub>42</sub> peptides, averaged among four peptides in the systems under the study, (<b>C</b>) Time-evolution of Solvent Accessible Surface Area (SASA) of Aβ<sub>42</sub> peptides within 500 ns of the simulation, (<b>D</b>) Time-evolution of SASA of Aβ<sub>42</sub> peptides within first 20 ns of the simulation in the systems with no B[a]P, with 4 B[a]P and 10 B[a]P molecules.</p>
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<p>Radial distribution function (rdf) of (<b>A</b>) interpeptide interactions, (<b>B</b>) peptide—B[a]P ineractions in the systems under the study.</p>
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17 pages, 5336 KiB  
Article
Deteriorative Effects of Radiation Injury Combined with Skin Wounding in a Mouse Model
by Li Wang, Bin Lin, Min Zhai, Wanchang Cui, Lisa Hull, Alex Zizzo, Xianghong Li, Juliann G. Kiang and Mang Xiao
Toxics 2022, 10(12), 785; https://doi.org/10.3390/toxics10120785 - 14 Dec 2022
Cited by 6 | Viewed by 2991
Abstract
Radiation-combined injury (RCI) augments the risk of morbidity and mortality when compared to radiation injury (RI) alone. No FDA-approved medical countermeasures (MCMs) are available for treating RCI. Previous studies implied that RI and RCI elicit differential mechanisms leading to their detrimental effects. We [...] Read more.
Radiation-combined injury (RCI) augments the risk of morbidity and mortality when compared to radiation injury (RI) alone. No FDA-approved medical countermeasures (MCMs) are available for treating RCI. Previous studies implied that RI and RCI elicit differential mechanisms leading to their detrimental effects. We hypothesize that accelerating wound healing improves the survival of RCI mice. In the current study, we examined the effects of RCI at different doses on lethality, weight loss, wound closure delay, and proinflammatory status, and assessed the relative contribution of systemic and local elements to their delayed wound closure. Our data demonstrated that RCI increased the lethality and weight loss, delayed skin wound closure, and induced a systemic proinflammatory status in a radiation dose-dependent manner. We also demonstrated that delayed wound closure did not specifically depend on the extent of hematopoietic suppression, but was significantly influenced by the toxicity of the radiation-induced systemic inflammation and local elements, including the altered levels of proinflammatory chemokines and factors, and the dysregulated collagen homeostasis in the wounded area. In conclusion, the results from our study indicate a close association between delayed wound healing and the significantly altered pathways in RCI mice. This insightful information may contribute to the evaluation of the prognosis of RCI and development of MCMs for RCI. Full article
(This article belongs to the Special Issue Radiation Exposure and Health Effects)
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<p>The effects of RCI doses on 30-day lethality, body weight loss, and wound closure delay. (<b>A</b>) The 8.5 Gy is a sub-lethal dose, and 9.0 Gy and 9.5 Gy are lethal doses for RCI. * <span class="html-italic">p</span> &lt; 0.05 for Wound/RCI 8.5 Gy vs. 9.0 Gy and Wound/8.5 Gy vs. 9.5 Gy by Log-rank (Mantel-Cox) test; N = 80/20/80/60 for Wound/RCI 8.5/9.0/9.5 Gy. (<b>B</b>) RCI resulted in significantly dose-dependent body weight loss. * <span class="html-italic">p</span> &lt; 0.05, vs. Wound; ^ <span class="html-italic">p</span> &lt; 0.05, vs. RCI 8.5 Gy; # <span class="html-italic">p</span> &lt; 0.05, vs. RCI 9.0 Gy by two-way ANOVA with Tukey’s multiple comparisons tests; N = 80/20/80/60 for wound/RCI 8.5/9.0/9.5 Gy. (<b>C</b>) Representative images of the wounds from Wound, RCI at 8.5 Gy, RCI at 9.0 Gy, and RCI at 9.5 Gy groups on days 1, 3, 7, 14, 21, and 28 after TBI. (<b>D</b>) RCI delayed wound closure in a dose-dependent fashion. * <span class="html-italic">p</span> &lt; 0.05, vs. Wound; ^ <span class="html-italic">p</span> &lt; 0.05, vs. RCI 8.5 Gy; # <span class="html-italic">p</span> &lt; 0.05, vs. RCI 9.0 Gy by two-way ANOVA with Tukey’s multiple comparisons tests; N = 80/20/80/60 for wound/RCI 8.5/9.0/9.5 Gy. (<b>E</b>) RCI dose-dependently extended the time to wound closure. * <span class="html-italic">p</span> &lt; 0.05 for wound vs. RCI 8.5 Gy, RCI 8.5 Gy vs. RCI 9.0 Gy, and RCI 9.0 Gy vs. RCI 9.5 Gy by Log-rank (Mantel-Cox) test; N = 40/20/43/4 for wound/RCI 8.5/9.0/9.5 Gy.</p>
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<p>The effects of RCI doses on 30-day lethality, body weight loss, and wound closure delay. (<b>A</b>) The 8.5 Gy is a sub-lethal dose, and 9.0 Gy and 9.5 Gy are lethal doses for RCI. * <span class="html-italic">p</span> &lt; 0.05 for Wound/RCI 8.5 Gy vs. 9.0 Gy and Wound/8.5 Gy vs. 9.5 Gy by Log-rank (Mantel-Cox) test; N = 80/20/80/60 for Wound/RCI 8.5/9.0/9.5 Gy. (<b>B</b>) RCI resulted in significantly dose-dependent body weight loss. * <span class="html-italic">p</span> &lt; 0.05, vs. Wound; ^ <span class="html-italic">p</span> &lt; 0.05, vs. RCI 8.5 Gy; # <span class="html-italic">p</span> &lt; 0.05, vs. RCI 9.0 Gy by two-way ANOVA with Tukey’s multiple comparisons tests; N = 80/20/80/60 for wound/RCI 8.5/9.0/9.5 Gy. (<b>C</b>) Representative images of the wounds from Wound, RCI at 8.5 Gy, RCI at 9.0 Gy, and RCI at 9.5 Gy groups on days 1, 3, 7, 14, 21, and 28 after TBI. (<b>D</b>) RCI delayed wound closure in a dose-dependent fashion. * <span class="html-italic">p</span> &lt; 0.05, vs. Wound; ^ <span class="html-italic">p</span> &lt; 0.05, vs. RCI 8.5 Gy; # <span class="html-italic">p</span> &lt; 0.05, vs. RCI 9.0 Gy by two-way ANOVA with Tukey’s multiple comparisons tests; N = 80/20/80/60 for wound/RCI 8.5/9.0/9.5 Gy. (<b>E</b>) RCI dose-dependently extended the time to wound closure. * <span class="html-italic">p</span> &lt; 0.05 for wound vs. RCI 8.5 Gy, RCI 8.5 Gy vs. RCI 9.0 Gy, and RCI 9.0 Gy vs. RCI 9.5 Gy by Log-rank (Mantel-Cox) test; N = 40/20/43/4 for wound/RCI 8.5/9.0/9.5 Gy.</p>
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<p>Neutrophil (NEU), monocyte (MONO), and neutrophil/lymphocyte ratios (NEU/LYM) are elevated and LYM and platelets are declined in lethal doses of RCI mice. (<b>A</b>,<b>B</b>,<b>F</b>) White blood cells (WBCs), lymphocytes (LYM), and platelets (PLT) were significantly decreased in all RCI groups. However, neutrophils (NEU) and monocytes (MONO) were significantly elevated in 9.5 Gy RCI (<b>C</b>,<b>D</b>). The NEU/LYM ratio was significantly elevated in 9.0/9.5 Gy RCI (<b>E</b>). * <span class="html-italic">p</span> &lt; 0.05 for RCI vs. sham by one-way ANOVA and Dunnett’s multiple comparisons test; # <span class="html-italic">p</span> &lt; 0.05 for comparison among three RCI groups by one-way ANOVA and Tukey’s multiple comparisons test; N = 10–35.</p>
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<p>Increased levels of selected proinflammatory cytokines and chemokines are observed in 9.5 Gy RCI mice. (<b>A</b>) G-CSF (granulocyte-colony stimulating factor); (<b>B</b>) IL-6 (Interleukin 6); (<b>C</b>) IL-17 (Interleukin 17); (<b>D</b>) TNF-α (Tumor necrosis factor alpha); (<b>E</b>) IFNγ (Interferon-gamma); (<b>F</b>) IP-10 (interferon-gamma-induced protein 10); (<b>G</b>) KC (keratinocyte-derived cytokine); (<b>H</b>) RANTES (regulated upon activation, normal T cell expressed, and secreted). * <span class="html-italic">p</span> &lt; 0.05 for RCI vs. sham by one-way ANOVA and Dunnett’s multiple comparisons test; # <span class="html-italic">p</span> &lt; 0.05 for comparison among three RCI groups by one-way ANOVA and Tukey’s multiple comparisons test; N = 3–7.</p>
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<p>Bone marrow hypocellularity is induced by RCI at different doses. (<b>A</b>) Representative images of histological sections of sternum obtained on day 30 post-TBI stained with hematoxylin and eosin (H&amp;E), scale bar: 100 µm. (<b>B</b>,<b>C</b>) Quantification of megakaryocyte and adipocyte. * <span class="html-italic">p</span> &lt; 0.05 for RCI vs. sham by one-way ANOVA and Dunnett’s multiple comparisons test; N = 4–13.</p>
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<p>Chemokine levels are elevated in the skin at wound sites of 9.0 Gy RCI mice. (<b>A</b>–<b>C</b>) Three chemokines IP-10, MIG, and MIP-3α were significantly elevated in skin at wound sites of 9.0 Gy RCI mice. (<b>D</b>–<b>G</b>) Four chemokines LIF, MCP-1, TNFα, and TIMP-1 were increased in skin at wound sites of RCI groups. (<b>H</b>–<b>K</b>) Other four chemokines eotaxin, KC, fractalkine, and MIP-3β were elevated in skin at wound sites of both wound and RCI groups. * <span class="html-italic">p</span> &lt; 0.05 for wound or RCI vs. sham by one-way ANOVA and Dunnett’s multiple comparisons test; N = 4.</p>
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<p>Both 8.5 Gy RCI and SW alone significantly upregulate VEGF expression in skin wounds on day 30, and no significant differences are observed between sham and 9.0 Gy RCI (<b>A</b>). (<b>B</b>) There were no differences in serum VEGF levels in all groups. (<b>C</b>) Western blot analysis of CTGF expression in skin wounds, and their band densitometry analysis as shown in (<b>D</b>). CTGF (connective tissue growth factor) expression was upregulated in wound and RCI groups. * <span class="html-italic">p</span> &lt; 0.05 for wound vs. sham, RCI 8.5 Gy vs. sham, and RCI 9.0 Gy vs. sham by Mann–Whitney Test (unpaired, two-tailed); N = 4. MW: molecular weight.</p>
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<p>Histological and immunohistochemical (IHC) evaluation of skin wounds to assess the epidermal and dermal responses after SW alone or 8.5 Gy/9.0 Gy RCI. (<b>A</b>–<b>H</b>) Representative images of histological sections of skin wound scar day 30 after TBI stained with hematoxylin and eosin (H&amp;E) (<b>A</b>–<b>D</b>). (<b>E</b>–<b>H</b>) Representative images of IHC-stained skin wound scar sections for alpha-smooth muscle actin (α-SMA, a marker of myofibroblast, red) and nuclei (4′, 6-diamidino-2-phenylindole, DAPI, nuclear DNA, blue). Scale bar: 100 µm. (<b>I</b>–<b>K</b>) Quantification of epidermis thickness (µm), dermis thickness (µm), and dermal α-SMA positive area (%). * <span class="html-italic">p</span> &lt; 0.05, wound or RCI vs. sham by unpaired <span class="html-italic">t</span>-test (two-tailed); N = 3/group.</p>
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<p>TBI perturbs collagen deposition during wound healing. Collagen morphology/organization in scars of skin wounds was evaluated by Masson’s trichrome staining (Blue: collagen; Red: cytoplasm; Black: nuclei). (<b>A</b>–<b>D</b>) Representative images of histological sections of skin wound scar day 30 after TBI (low magnification) from sham, SW alone, RCI at 8.5 Gy, and RCI at 9.0 Gy groups, N = 3, scale bar: 200 µm. (<b>E</b>–<b>H</b>) High magnification images of respective insets displayed in (<b>A</b>–<b>D</b>), N = 3/group, scale bar: 50 µm.</p>
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10 pages, 1591 KiB  
Brief Report
In Vitro Biological Effects of E-Cigarette on the Cardiovascular System—Pro-Inflammatory Response Enhanced by the Presence of the Cinnamon Flavor
by Marine Michon, Clément Mercier, Claudie Petit, Lara Leclerc, Laurent Bertoletti, Jérémie Pourchez and Valérie Forest
Toxics 2022, 10(12), 784; https://doi.org/10.3390/toxics10120784 - 14 Dec 2022
Cited by 3 | Viewed by 2175
Abstract
The potential cardiovascular effects of e-cigarettes remain largely unidentified and poorly understood. E-liquids contain numerous chemical compounds and can induce exposure to potentially toxic ingredients (e.g., nicotine, flavorings, etc.). Moreover, the heating process can also lead to the formation of new thermal decomposition [...] Read more.
The potential cardiovascular effects of e-cigarettes remain largely unidentified and poorly understood. E-liquids contain numerous chemical compounds and can induce exposure to potentially toxic ingredients (e.g., nicotine, flavorings, etc.). Moreover, the heating process can also lead to the formation of new thermal decomposition compounds that may be also hazardous. Clinical as well as in vitro and in vivo studies on e-cigarette toxicity have reported potential cardiovascular damages; however, results remain conflicting. The aim of this study was to assess, in vitro, the toxicity of e-liquids and e-cigarette aerosols on human aortic smooth muscle cells. To that purpose, cells were exposed either to e-liquids or to aerosol condensates obtained using an e-cigarette device at different power levels (8 W or 25 W) to assess the impact of the presence of: (i) nicotine, (ii) cinnamon flavor, and (iii) thermal degradation products. We observed that while no cytotoxicity and no ROS production was induced, a pro-inflammatory response was reported. In particular, the production of IL-8 was significantly enhanced at a high power level of the e-cigarette device and in the presence of the cinnamon flavor (confirming the suspected toxic effect of this additive). Further investigations are required, but this study contributes to shedding light on the biological effects of vaping on the cardiovascular system. Full article
(This article belongs to the Section Human Toxicology and Epidemiology)
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<p>Definition of the experimental conditions used in this study and the comparisons that allowed determination of the impact of different parameters.</p>
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<p>Relative cytotoxicity induced by the different experimental conditions assessed after 24 h of cell exposure by the LDH release. Results are expressed relative to control (unexposed) cells and are means of three independent experiments, each performed in duplicate.</p>
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<p>Relative ROS production induced by the different experimental conditions and assessed after 90 min (<b>A</b>) or 24 h (<b>B</b>) of cell exposure. Results are expressed relative to control (unexposed) cells and are means of three independent experiments, each performed in duplicate.</p>
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<p>Relative IL-8 production induced by the different experimental conditions and assessed after 24 h of cell exposure. Results are expressed relative to control (unexposed) cells and are means of three independent experiments, each performed in duplicate. Statistical significance is also indicated: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 as determined with a two-sided Student’s <span class="html-italic">t</span>-test between control and experimental groups. For inter-group comparisons, an ANOVA analysis was performed: # <span class="html-italic">p</span> = 0.024.</p>
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19 pages, 2439 KiB  
Article
Molecular Design and Mechanism Analysis of Phthalic Acid Ester Substitutes: Improved Biodegradability in Processes of Sewage Treatment and Soil Remediation
by Shuhai Sun, Qilin Zuo, Meijin Du and Yu Li
Toxics 2022, 10(12), 783; https://doi.org/10.3390/toxics10120783 - 13 Dec 2022
Cited by 1 | Viewed by 1618
Abstract
Phthalic acid esters (PAEs) have the characteristics of environmental persistence. Therefore, improving the biodegradability of PAEs is the key to reducing the extent of ecological harm realized. Firstly, the scoring function values of PAEs docking with various degrading enzymes in sewage treatment were [...] Read more.
Phthalic acid esters (PAEs) have the characteristics of environmental persistence. Therefore, improving the biodegradability of PAEs is the key to reducing the extent of ecological harm realized. Firstly, the scoring function values of PAEs docking with various degrading enzymes in sewage treatment were calculated. Based on this, a 3D-quantitative structure-activity relationship (3D-QSAR) model for PAE biodegradability was built, and 38 PAE substitutes were created. By predicting the endocrine-disrupting toxicity and functions of PAE substitutes, two types of PAE substitutes that are easily degraded by microorganisms, have low toxicity, and remain functional were successfully screened. Meanwhile, the differences in the mechanism of molecular degradation difference before and after PAE modification were analyzed based on the distribution characteristics of amino acid residues in the molecular docking complex. Finally, the photodegradability and microbial degradability of the PAE substitutes in the soil environment was evaluated. From the 3D-QSAR model design perspective, the modification mechanism of PAE substitutes suitable for sewage treatment and soil environment degradation was analyzed. We aim to improve the biodegradability of PAEs at the source and provide theoretical support for alleviating the environmental hazards of using PAEs. Full article
(This article belongs to the Special Issue Innovative Strategies to Decompose Pollutants)
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<p>Schematic diagram of the stereological structure and modification sites of DEHP (<b>A</b>) and DBP (<b>B</b>) molecules.</p>
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<p>Three-dimensional isopotential maps corresponding to the stereo (<b>A</b>) and electrostatic (<b>B</b>) fields of the CoMFA model describing the DEHP and DBP molecules.</p>
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<p>Amino acid residue map of the PAE substitutes binding to aerobic bacteria (<b>A</b>)/anaerobic bacteria (<b>B</b>) degradable complex proteins.</p>
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<p>Amino acid residue map of the PAE substitutes binding to aerobic bacteria (<b>A</b>)/anaerobic bacteria (<b>B</b>) degradable complex proteins.</p>
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<p>Photodegradation pathway (<b>A</b>)/Microbial degradation pathway (<b>B</b>) associated with DEHP and its substitutes in the soil environment.</p>
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<p>Photodegradation pathway (<b>A</b>)/Microbial degradation pathway (<b>B</b>) associated with DEHP and its substitutes in the soil environment.</p>
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<p>W-3D-QSAR model (<b>A</b>), S-3D-QSAR model (<b>B</b>), (stereo field a, electrostatic field b), T-QSAR model (<b>C</b>), and schematic diagram of the molecular modification sites of DEHP substitutes (<b>D</b>).</p>
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19 pages, 3743 KiB  
Article
Effects of Moss-Dominated Biocrusts on Soil Microbial Community Structure in an Ionic Rare Earth Tailings Area of Southern China
by Yongsheng Song, Renlu Liu, Liren Yang, Xiaoyu Xiao and Genhe He
Toxics 2022, 10(12), 782; https://doi.org/10.3390/toxics10120782 - 13 Dec 2022
Cited by 3 | Viewed by 1934
Abstract
Moss-dominated biocrusts are widespread in degraded mining ecosystems and play an important role in soil development and ecosystem primary succession. In this work, the soil microbial community structure under moss-dominated biocrusts in ionic rare earth tailings was investigated to reveal the relationship between [...] Read more.
Moss-dominated biocrusts are widespread in degraded mining ecosystems and play an important role in soil development and ecosystem primary succession. In this work, the soil microbial community structure under moss-dominated biocrusts in ionic rare earth tailings was investigated to reveal the relationship between different types of moss and taxonomy/function of microbiomes. The results showed that microbial community structure was significantly influenced by four moss species (Claopodium rugulosifolium, Orthotrichum courtoisii, Polytrichum formosum, and Taxiphyllum giraldii). The microbial assembly was more prominent in Claopodium rugulosifolium soil than in the other moss soils, which covers 482 bacterial genera (including 130 specific genera) and 338 fungal genera (including 72 specific genera), and the specific genus is 40% to 1300% higher than that of the other three mosses. Although only 141 and 140 operational taxonomic units (OTUs) rooted in bacterial and fungal clusters, respectively, were shared by all four mosses grown in ionic rare earth tailings, this core microbiome could represent a large fraction (28.2% and 38.7%, respectively) of all sequence reads. The bacterial population and representation are the most abundant, which mainly includes Sphingomonas, Clostridium_sensu_stricto_1, and unclassified filamentous bacteria and chloroplasts, while the fungi population is relatively singular. The results also show that biocrust dominated by moss has a positive effect on soil microbe activity and soil nutrient conditions. Overall, these findings emphasize the importance of developing moss-dominated biocrusts as hotspots of ecosystem functioning and precious microbial genetic resources in degraded rare-earth mining areas and promoting a better understanding of biocrust ecology in humid climates under global change scenarios. Full article
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<p>Location of the study site.</p>
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<p>Soil characteristics in pH (<b>a</b>), OM (<b>b</b>), TN (<b>c</b>), TP (<b>d</b>), Available N (<b>e</b>), and available P (<b>f</b>) in four moss-dominated biocrusts and bare soil. The boxplots show the median (center black line) and interquartile ranges (box) of the individual effect sizes. <span class="html-italic">p</span> values denote significant differences among magnitudes or duration of manipulation based on Wilcoxon rank-sum test with Bonferroni correction. Horizontal grey solid lines and the number represent the background values of bare soil. OM: Organic matter, TN: Total nitrogen; TP: Total phosphorus; Available N: Available nitrogen, including the sum of ammonium nitrogen and nitrate nitrogen; Available P: Available phosphorus; Red color was assigned to Claopodium rugulosifolium soil; cyan to Orthotrichum courtoisii soil; green to Polytrichum formosum soil; yellow to Taxiphyllum giraldii soil. C: <span class="html-italic">Claopodium rugulosifolium</span>; O: <span class="html-italic">Orthotrichum courtoisii</span>; P: <span class="html-italic">Polytrichum formosum</span>; T: <span class="html-italic">Taxiphyllum giraldii</span>; ns: no significant differences. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Comparative analysis of the alpha diversity of 16S rRNA and ITS rRNA soil microbe sequences from moss-dominated biocrust soils. (<b>a</b>,<b>b</b>) Shannon; (<b>c</b>,<b>d</b>) Phylogenetic diversity; and (<b>e</b>,<b>f</b>) Chao1 were calculated by moss type. The data were rarefied up to 35,000 counts per sample. The left boxplots show bacteria diversity and the right for fungi. Statistically significant differences (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001) were determined by one-way ANOVA followed by post hoc Tukey test. Red color was assigned to <span class="html-italic">Claopodium rugulosifolium</span> soil; cyan to <span class="html-italic">Orthotrichum courtoisii</span> soil; green to <span class="html-italic">Polytrichum formosum</span> soil; yellow to <span class="html-italic">Taxiphyllum giraldii</span> soil. C: <span class="html-italic">Claopodium rugulosifolium</span>; O: <span class="html-italic">Orthotrichum courtoisii</span>; P: <span class="html-italic">Polytrichum formosum</span>; T: <span class="html-italic">Taxiphyllum giraldii</span>.</p>
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<p>Soil microbial community structure in four moss-dominated biocrusts. Principal Coordinate Analysis (PCoA) of 16S rRNA and ITS rRNA diversity used in this study. (<b>a</b>) Soil bacterial community. Moss species explained 48.56% of the total variability in the bacterial community composition (PERMANOVA, <span class="html-italic">p</span> &lt; 0.001). (<b>b</b>) Soil fungal community. The species of moss determined 33.10% of the total variability in the agricultural soil (PERMANOVA, <span class="html-italic">p</span> &lt; 0.001). CSS transformed reads were used to calculate Bray–Curtis distances in (<b>a</b>,<b>b</b>). Red color was assigned to <span class="html-italic">Claopodium rugulosifolium</span> soil and cyan to <span class="html-italic">Orthotrichum courtoisii</span> soil and green to <span class="html-italic">Polytrichum formosum</span> soil and yellow to <span class="html-italic">Taxiphyllum giraldii</span> soil. C: <span class="html-italic">Claopodium rugulosifolium</span>; O: <span class="html-italic">Orthotrichum courtoisii</span>; P: <span class="html-italic">Polytrichum formosum</span>; T: <span class="html-italic">Taxiphyllum giraldii</span>.</p>
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<p>Relative abundance of the most abundant microbial phyla in moss-dominated biocrusts soils. Bar graphs of the relative abundance of the most abundant microbial phyla in the bacterial communities (<b>a</b>) and in the fungal communities (<b>b</b>) are shown. Only phyla with a total relative abundance higher than 1% are listed separately in the graphs, while less than 1% are reduced to others. C: <span class="html-italic">Claopodium rugulosifolium</span>; O: <span class="html-italic">Orthotrichum courtoisii</span>; P: <span class="html-italic">Polytrichum formosum</span>; T: <span class="html-italic">Taxiphyllum giraldii</span>.</p>
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<p>Differential abundance of bacterial or fungal OTUs in moss-dominated biocrusts soils. Welch’s <span class="html-italic">t</span>-tests followed by Bonferroni corrections were performed from <span class="html-italic">Claopodium rugulosifolium</span>, <span class="html-italic">Orthotrichum courtoisii</span>, <span class="html-italic">Polytrichum formosum</span>, and <span class="html-italic">Taxiphyllum giraldii</span> soil at phylum (<b>a</b>,<b>b</b>) and genus (<b>c</b>,<b>d</b>) levels. Only differentially abundant phyla and genus are shown. The left histogram plots show bacteria abundance difference and the right for fungi. Statistically significant differences (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001) were determined by one-way ANOVA followed by post hoc Tukey test. Red color was assigned to <span class="html-italic">Claopodium rugulosifolium</span> soil; cyan to <span class="html-italic">Orthotrichum courtoisii</span> soil; green to <span class="html-italic">Polytrichum formosum</span> soil yellow to <span class="html-italic">Taxiphyllum giraldii</span> soil.</p>
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<p>The enriched and depleted microorganism in moss-dominated biocrusts soils. Area-proportional Euler diagrams were built to depict the exclusive and the shared genera. Number of (<b>a</b>) bacterial genera and (<b>b</b>) fungal genera shared among <span class="html-italic">Claopodium rugulosifolium</span>, <span class="html-italic">Orthotrichum courtoisii</span>, <span class="html-italic">Polytrichum formosum</span>, and <span class="html-italic">Taxiphyllum giraldii</span> is depicted within the intersection while the number of genera exclusive to each moss type can be seen out of the intersection zone. The genera exclusive to the <span class="html-italic">Claopodium rugulosifolium</span> soil are visible in the red colored area. C: <span class="html-italic">Claopodium rugulosifolium</span>; O: <span class="html-italic">Orthotrichum courtoisii</span>; P: <span class="html-italic">Polytrichum formosum</span>; T: <span class="html-italic">Taxiphyllum giraldii</span>.</p>
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<p>Core microbiome of moss-dominated biocrusts. The different portions within the inner pie chart represent the bacterial (<b>a</b>) or fungal (<b>b</b>) phyla that are part of the moss core microbiome. The outer donut plot represents the genera that are part of the core, and each genus assigned to the phylum they belong to. The size of the different pie and donut portions represents the contribution of each phylum/genus to the total relative abundance. Satellite box plots depict the relative abundance of selected genera by moss accession (C, O, P, T). Red color was assigned to C; cyan to O; green to P; yellow to T soil, respectively. C: <span class="html-italic">Claopodium rugulosifolium</span>; O: <span class="html-italic">Orthotrichum courtoisii</span>; P: <span class="html-italic">Polytrichum formosum</span>; T: <span class="html-italic">Taxiphyllum giraldii</span>.</p>
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<p>Microorganism and soil characteristics co-occurrence networks in moss-dominated biocrusts soils. (<b>a</b>) Co-occurrence network of bacteria. (<b>b</b>) Co-occurrence network of fungi. Positive interactions are depicted as red edges and the negative interactions are depicted as green edges.</p>
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18 pages, 2414 KiB  
Article
On the In Vitro and In Vivo Hazard Assessment of a Novel Nanomaterial to Reduce the Use of Zinc Oxide in the Rubber Vulcanization Process
by Cinzia Bragato, Silvia Mostoni, Christian D’Abramo, Maurizio Gualtieri, Francesca Rita Pomilla, Roberto Scotti and Paride Mantecca
Toxics 2022, 10(12), 781; https://doi.org/10.3390/toxics10120781 - 13 Dec 2022
Cited by 4 | Viewed by 3014
Abstract
Zinc oxide (ZnO) is the most efficient curing activator employed in the industrial rubber production. However, ZnO and Zn(II) ions are largely recognized as an environmental hazard being toxic to aquatic organisms, especially considering Zn(II) release during tire lifecycle. In this context, aiming [...] Read more.
Zinc oxide (ZnO) is the most efficient curing activator employed in the industrial rubber production. However, ZnO and Zn(II) ions are largely recognized as an environmental hazard being toxic to aquatic organisms, especially considering Zn(II) release during tire lifecycle. In this context, aiming at reducing the amount of microcrystalline ZnO, a novel activator was recently synthetized, constituted by ZnO nanoparticles (NPs) anchored to silica NPs (ZnO-NP@SiO2-NP). The objective of this work is to define the possible hazards deriving from the use of ZnO-NP@SiO2-NP compared to ZnO and SiO2 NPs traditionally used in the tire industry. The safety of the novel activators was assessed by in vitro testing, using human lung epithelial (A549) and immune (THP-1) cells, and by the in vivo model zebrafish (Danio rerio). The novel manufactured nanomaterial was characterized morphologically and structurally, and its effects evaluated in vitro by the measurement of the cell viability and the release of inflammatory mediators, while in vivo by the Fish Embryo Acute Toxicity (FET) test. Resulting data demonstrated that ZnO-NP@SiO2-NP, despite presenting some subtoxic events, exhibits the lack of acute effects both in vitro and in vivo, supporting the safe-by-design development of this novel material for the rubber industry. Full article
(This article belongs to the Special Issue Nano and Ultrafine Particle Toxicology and Exposure Assessment)
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<p>TEM images of SiO<sub>2</sub> Rhodia (<b>a</b>,<b>d</b>), ZnO-NP@SiO2-NP (<b>b</b>,<b>e</b>) and ZnO NPs (<b>c</b>,<b>f</b>). Arrows in (<b>e</b>) point to the black dots covering SiO<sub>2</sub> NPs corresponding to ZnO NPs.</p>
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<p>The cell viability was assessed by (<b>a</b>) MTT test on A549 cells and (<b>b</b>) Alamar Blue on THP-1 cells. Data represent the mean ± SEM of at least three independent experiments. * Statistically different from control sample; * <span class="html-italic">p</span> &lt; 0.005. One-way ANOVA + Bonferroni’s test. IC<sub>50</sub> is reported as &gt;higher concentration tested in both in vitro models. For exposure concentration legend, please refer to <a href="#toxics-10-00781-t001" class="html-table">Table 1</a>.</p>
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<p>Mortality of zebrafish embryos after exposure to ZnO-NP@SiO<sub>2</sub>-NP, ZnO-NP, SiO<sub>2</sub>-NP, and ZnO-NP + SiO<sub>2</sub>-NP NPs suspensions at 96 hpf. The NP concentrations administered are A, B, and C. The results are presented as a mean ± SEM of five independent experiments. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, with respect to Ctrl N.T.; # <span class="html-italic">p</span> &lt; 0.05 with respect to both ZnO-NP@SiO<sub>2</sub>-NP concentration B and C. One-way ANOVA with post hoc Bonferroni’s test. For exposure concentration legend, please refer to <a href="#toxics-10-00781-t001" class="html-table">Table 1</a>. Analyses were performed on a total of n = 120 embryos for each experimental condition, collected during five independent experiments.</p>
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<p>Sublethal defects observed in zebrafish embryos after exposure to ZnO-NP@SiO<sub>2</sub>-NP, ZnO-NP, SiO<sub>2</sub>-NP, and ZnO-NP + SiO<sub>2</sub>-NP NPs suspensions at 96 hpf. The NPs concentrations administered are A, B, and C. The results are presented as mean ± SEM of five independent experiments. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, with respect to Ctrl N.T.; # <span class="html-italic">p</span> &lt; 0.05 with respect to both ZnO-NP@SiO<sub>2</sub>-NP at concentrations B and C. One-way ANOVA with post hoc Bonferroni’s test. For exposure concentration legend, please refer to <a href="#toxics-10-00781-t001" class="html-table">Table 1</a>. Analyses were performed on a total of n = 120 embryos for each experimental condition, collected during five independent experiments.</p>
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<p>Effects of ZnO-NP@SiO<sub>2</sub>-NP, ZnO-NP, SiO<sub>2</sub>-NP, and ZnO-NP + SiO<sub>2</sub>-NP NPs on embryos hatching. The graphs show the embryos that were alive and almost inside the chorion at 96 hpf. *** <span class="html-italic">p</span> &lt; 0.001, with respect to Ctrl N.T. One-way ANOVA with post hoc Bonferroni’s test. For exposure concentration legend, please refer to <a href="#toxics-10-00781-t001" class="html-table">Table 1</a>. Analyses were performed on a total of n = 120 embryos for each experimental condition, collected during five independent experiments.</p>
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<p>Hatching time curves of 96 hpf embryo non exposed or exposed to ZnO-NP@SiO<sub>2</sub>-NP, ZnO-NP, SiO<sub>2</sub>-NP, and ZnO-NP + SiO<sub>2</sub>-NP NPs. The delay is visible after NP administration, in particular after exposure to ZnO-NP and ZnO-NP + SiO<sub>2</sub>-NP at the higher concentration. For exposure concentration legend, please refer to <a href="#toxics-10-00781-t001" class="html-table">Table 1</a>. Analyses were performed on a total of n = 120 embryos for each experimental condition, collected during five independent experiments.</p>
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<p>IL-8 levels on A549 cells (<b>left panel</b>) and on THP-1 cells (<b>right panel</b>). Data represent the mean ± SEM of at least three independent experiments. For exposure concentration legend, please refer to the <a href="#toxics-10-00781-t001" class="html-table">Table 1</a>.</p>
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<p>RANTES levels on A549 cells (<b>left panel</b>) and on THP-1 cells (<b>right panel</b>). Data represent the mean ± SEM of four independent experiments. For exposure concentration legend, please refer to the <a href="#toxics-10-00781-t001" class="html-table">Table 1</a>.</p>
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21 pages, 4517 KiB  
Article
Ecotoxicological Effects of the Anionic Surfactant Sodium Dodecyl Sulfate (SDS) in Two Marine Primary Producers: Phaeodactylum tricornutum and Ulva lactuca
by Ricardo Cruz de Carvalho, Eduardo Feijão, Ana Rita Matos, Maria Teresa Cabrita, Andrei B. Utkin, Sara C. Novais, Marco F. L. Lemos, Isabel Caçador, João Carlos Marques, Patrick Reis-Santos, Vanessa F. Fonseca and Bernardo Duarte
Toxics 2022, 10(12), 780; https://doi.org/10.3390/toxics10120780 - 13 Dec 2022
Cited by 7 | Viewed by 3158
Abstract
Sodium Dodecyl Sulfate (SDS) is an anionic surfactant, extensively used in detergents, household and personal care products, as well as in industrial processes. The present study aimed to disclose the potential toxicological effects of SDS exposure under environmentally relevant concentrations (0, 0.1, 1, [...] Read more.
Sodium Dodecyl Sulfate (SDS) is an anionic surfactant, extensively used in detergents, household and personal care products, as well as in industrial processes. The present study aimed to disclose the potential toxicological effects of SDS exposure under environmentally relevant concentrations (0, 0.1, 1, 3, and 10 mg L−1) on the physiology and biochemistry (photosynthesis, pigment, and lipid composition, antioxidative systems, and energy balance) of two marine autotrophs: the diatom Phaeodactylum tricornutum and the macroalgae Ulva lactuca. A growth rate (GR) reduction in P. tricornutum was observed with a classic dose-response effect towards the highest applied concentration, while a GR increase occurred in U. lactuca. Regarding photochemistry, the decrease in the fluorescence of the OJIP curves and laser-induced fluorescence allowed a better separation between SDS treatments in U. lactuca compared with P. tricornutum. Although all pigments significantly decreased in U. lactuca at the highest concentrations (except for antheraxanthin), no significant variations occurred in P. tricornutum. On the other hand, changes in fatty acid content were observed in P. tricornutum but not in U. lactuca. In terms of classical biomarker assessment, a dose-effect relationship of individual biomarkers versus SDS dose applied; U. lactuca displayed a higher number of biomarker candidates, including those in distinct metabolic pathways, increasing its usefulness for ecotoxicological applications. By evaluating the potential application of optical and biochemical traits, it was evident that the fatty acid profiles of the different exposure groups are excellent candidates in P. tricornutum, concomitant with the characteristics of this anionic surfactant. On the other hand, the results presented by laser-induced fluorescence and some parameters of PAM fluorometry in U. lactuca may be an advantage in the field, offering non-invasive, fast, easy-to-use, high-throughput screening techniques as excellent tools for ecotoxicology assessment. Full article
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<p>Growth rate of <span class="html-italic">Phaeodactylum tricornutum</span> (<b>A</b>) and <span class="html-italic">Ulva lactuca</span> (<b>B</b>) following 48-h exposure to increasing SDS concentrations (mean ± s.d., <span class="html-italic">n</span> = 3 per treatment, different letters denote significant differences between treatments at <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Chlorophyll transient kinetics (OJIP curves or Kautsky plots) in (<b>A</b>) <span class="html-italic">Phaeodactylum tricornutum</span> and (<b>B</b>) <span class="html-italic">Ulva lactuca</span> following 48-h exposure to increasing SDS concentrations (mean, <span class="html-italic">n</span> = 3).</p>
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<p>Energy transduction energy fluxes: absorbed (ABS/CS), trapped (TR/CS), transported (ET/CS) and dissipated (DI/CS), the number of oxidized PS II reaction centres per cross-section (RC/CS), and the reaction centre II density within the antenna chlorophyll bed of PS II (RC/ABS) in <span class="html-italic">Phaeodactylum tricornutum</span> (<b>A</b>,<b>C</b>,<b>E</b>,<b>G</b>,<b>I</b>,<b>K</b>) and <span class="html-italic">Ulva lactuca</span> (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>,<b>J</b>,<b>L</b>) following a 48-h exposure to SDS rising concentrations (mean ± s.d., <span class="html-italic">n</span> = 3 per treatment, different letters denote significant differences between treatments at <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Parameters derived from OJIP transient curves in <span class="html-italic">Phaeodactylum tricornutum</span> (<b>A</b>,<b>C</b>,<b>E</b>,<b>G</b>,<b>I</b>) and <span class="html-italic">Ulva lactuca</span> (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>,<b>J</b>) following 48-h of exposure to SDS increasing concentrations: (<b>A</b>,<b>B</b>) Oxidized quinone pool size; (<b>C</b>,<b>D</b>) Net rate of PS II RC closure (M<sub>0</sub>); (<b>E</b>,<b>F</b>) Turnover number of Q<sub>A</sub> (N); (<b>G</b>,<b>H</b>) Corresponds to the energy needed to close all reaction centres (S<sub>M</sub>); (<b>I</b>,<b>J</b>) Grouping probability (P<sub>G</sub>) (mean ± s.d., <span class="html-italic">n</span> = 3 per treatment, different letters denote significant differences between treatments at <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Red region laser-induced fluorescence in <span class="html-italic">Ulva lactuca</span> following a 48-h exposure to SDS increasing concentrations (<b>A</b>) (mean, <span class="html-italic">n</span> = 3) and measured parameters; (<b>B</b>) maximum fluorescence in the red region (F<sub>max-red</sub>); (<b>C</b>) wavelength deviation of the maximum fluorescence peak in the red region (WL<sub>dev-red</sub>); (<b>D</b>) red/far-red fluorescence ratio (F<sub>685</sub>/F<sub>735</sub>); (<b>E</b>) wavelength of the maximum fluorescence in the red region (WL<sub>Fmax</sub>) (mean ± s.d., <span class="html-italic">n</span> = 3 per treatment, different letters denote significant differences between treatments at <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Fatty acids profiles (<b>A</b>,<b>F</b>); fatty acid ratios (saturated to unsaturated fatty acids ratio (SFA/UFA) (<b>B</b>,<b>G</b>); polyunsaturated to saturated fatty acids ratio (PUFA/SFA) (<b>C</b>,<b>H</b>); and double-bound index (DBI) (<b>D</b>,<b>I</b>)); and total fatty acids (TFA) (<b>E</b>,<b>J</b>) in <span class="html-italic">Phaeodactylum tricornutum</span> (top figures) and <span class="html-italic">Ulva lactuca</span> (bottom figures) after 48-h exposure to SDS increasing concentrations (mean ± s.d., <span class="html-italic">n</span> = 3 per treatment, different letters denote significant differences between treatments at <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Catalase (CAT, (<b>A</b>,<b>B</b>)); ascorbate peroxidase (APx, (<b>C</b>,<b>D</b>)); and superoxide dismutase (SOD, (<b>E</b>,<b>F</b>)) enzymatic activities, oxidative stress ratio (<b>G</b>,<b>H</b>); and lipid peroxidation products (TBARS, (<b>I</b>,<b>J</b>)) in <span class="html-italic">Phaeodactylum tricornutum</span> (left figures) and <span class="html-italic">Ulva lactuca</span> (right figures) following a 48-h exposure to SDS rising concentrations (mean ± s.d., <span class="html-italic">n</span> = 3 per treatment, different letters denote significant differences between treatments at <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The plot of Canonical Analysis of Principal Coordinates (CAP) based on the photochemical traits (<b>A</b>,<b>B</b>); laser-induced fluorescence (<b>C</b>); pigment composition (<b>D</b>,<b>E</b>)’ fatty acid profile (<b>F</b>,<b>G</b>); oxidative stress (<b>H</b>,<b>I</b>) and energy balance (<b>J</b>,<b>K</b>) in <span class="html-italic">Phaeodactylum tricornutum</span> (left figures) and <span class="html-italic">Ulva lactuca</span> (right figures) following exposition to SDS over 48-h. The ellipses group samples with lower statistical distance are based on Euclidean resemblances.</p>
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15 pages, 317 KiB  
Review
Adverse Effects of Black Carbon (BC) Exposure during Pregnancy on Maternal and Fetal Health: A Contemporary Review
by Viktoriia Goriainova, Christina Awada, Florence Opoku and Judith T. Zelikoff
Toxics 2022, 10(12), 779; https://doi.org/10.3390/toxics10120779 - 13 Dec 2022
Cited by 7 | Viewed by 4585
Abstract
Black carbon (BC) is a major component of ambient particulate matter (PM), one of the six Environmental Protection Agency (EPA) Criteria air pollutants. The majority of research on the adverse effects of BC exposure so far has been focused on respiratory and cardiovascular [...] Read more.
Black carbon (BC) is a major component of ambient particulate matter (PM), one of the six Environmental Protection Agency (EPA) Criteria air pollutants. The majority of research on the adverse effects of BC exposure so far has been focused on respiratory and cardiovascular systems in children. Few studies have also explored whether prenatal BC exposure affects the fetus, the placenta and/or the course of pregnancy itself. Thus, this contemporary review seeks to elucidate state-of-the-art research on this understudied topic. Epidemiological studies have shown a correlation between BC and a variety of adverse effects on fetal health, including low birth weight for gestational age and increased risk of preterm birth, as well as cardiometabolic and respiratory system complications following maternal exposure during pregnancy. There is epidemiological evidence suggesting that BC exposure increases the risk of gestational diabetes mellitus, as well as other maternal health issues, such as pregnancy loss, all of which need to be more thoroughly investigated. Adverse placental effects from BC exposure include inflammatory responses, interference with placental iodine uptake, and expression of DNA repair and tumor suppressor genes. Taking into account the differences in BC exposure around the world, as well as interracial disparities and the need to better understand the underlying mechanisms of the health effects associated with prenatal exposure, toxicological research examining the effects of early life exposure to BC is needed. Full article
17 pages, 1188 KiB  
Review
Bioaccumulation and Biotransformation of Chlorinated Paraffins
by Liujun Chen, Bixian Mai and Xiaojun Luo
Toxics 2022, 10(12), 778; https://doi.org/10.3390/toxics10120778 - 12 Dec 2022
Cited by 9 | Viewed by 3336
Abstract
Chlorinated paraffins (CPs), a class of persistent, toxic, and bioaccumulated compounds, have received increasing attention for their environmental occurrence and ecological and human health risks worldwide in the past decades. Understanding the environmental behavior and fate of CPs faces a huge challenge owing [...] Read more.
Chlorinated paraffins (CPs), a class of persistent, toxic, and bioaccumulated compounds, have received increasing attention for their environmental occurrence and ecological and human health risks worldwide in the past decades. Understanding the environmental behavior and fate of CPs faces a huge challenge owing to the extremely complex CP congeners. Consequently, the aims of the present study are to summarize and integrate the bioaccumulation and biotransformation of CPs, including the occurrence of CPs in biota, tissue distribution, biomagnification, and trophic transfer, and biotransformation of CPs in plants, invertebrates, and vertebrates in detail. Biota samples collected in China showed higher CP concentrations than other regions, which is consistent with their huge production and usage. The lipid content is the major factor that determines the physical burden of CPs in tissues or organs. Regarding the bioaccumulation of CPs and their influence factors, inconsistent results were obtained. Biotransformation is an important reason for this variable. Some CP congeners are readily biodegradable in plants, animals, and microorganisms. Hydroxylation, dechlorination, chlorine rearrangement, and carbon chain decomposition are potential biotransformation pathways for the CP congeners. Knowledge of the influence of chain length, chlorination degree, constitution, and stereochemistry on the tissue distribution, bioaccumulation, and biotransformation is still scarce. Full article
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<p>The transformation pathways of 1,2,5,5,6,9,10-C<sub>10</sub>H<sub>15</sub>Cl<sub>7</sub>, 1,1,1,3,6,12,13-C<sub>13</sub>H<sub>22</sub>Cl<sub>6</sub>, and 1,1,1,3,8,10,10,10-C<sub>10</sub>H<sub>14</sub>Cl<sub>8</sub> mediated by pumpkin seedling, rice cell, soybean, and PVOCs, respectively. Values in the brackets are the transformation ratios of parent compound to the daughter compounds. The dotted arrow with the question mark is the pathway which possibly occurs but is not able to be detected by GC/ECNI-LRMS.</p>
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<p>The transformation pathways of 1-chlorotetradecane, SCCPs (C6–16, Cl: 14–61% <span class="html-italic">w</span>/<span class="html-italic">w</span>), SCCPs (C10–13, Cl: 56% <span class="html-italic">w</span>/<span class="html-italic">w</span>), and octachlorotridecanes mediated by Rhodococcus sp. S45-1, Pseudomonas sp. Strain 273 and N35, and bacterial enzyme LinB of Sphingobium indicum, respectively. E2 are the reactions of abiotic and biotic elimination, which are not catalyzed by LinB.</p>
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13 pages, 3028 KiB  
Article
Leaching Mechanism and Health Risk Assessment of As and Sb in Tailings of Typical Antimony Mines: A Case Study in Yunnan and Guizhou Province, Southwest China
by Ziyou Bai, Yinping He, Zhiwei Han and Fuzhong Wu
Toxics 2022, 10(12), 777; https://doi.org/10.3390/toxics10120777 - 12 Dec 2022
Cited by 6 | Viewed by 2171
Abstract
The weathering and leaching of mining tailings have released large amounts of antimony (Sb) and arsenic (As), causing serious pollution in the surrounding soil, water, and sediments. To understand the leaching characteristics of Sb and As in mining tailings, Zuoxiguo and Qinglong mining [...] Read more.
The weathering and leaching of mining tailings have released large amounts of antimony (Sb) and arsenic (As), causing serious pollution in the surrounding soil, water, and sediments. To understand the leaching characteristics of Sb and As in mining tailings, Zuoxiguo and Qinglong mining tailings were collected for analysis. The average content of Sb in Zuoxiguo and Qinglong tailings was 5902.77 mg/kg and 1426.43 mg/kg, respectively, while that of As was 412.53 mg/kg and 405.26 mg/kg, respectively, which exceeded the local background value. Furthermore, the concentrations of Sb in the leachate of Zuoxiguo and Qinglong increased with time; the average Sb concentration in the leachate of Zuoxiguo and Qinglong was 1470.48 μg/L and 70.20 μg/L, respectively, while that of the As concentration was 31.20 μg/L and 6.45 μg/L, respectively. This suggests that the concentrations of Sb and As in the leachate of Zuoxiguo are both higher than those in the leachate of Qinglong and that the pH of the leachate of Zuoxiguo and Qinglong significantly changed within the first day under different initial pH conditions, and tended to be between 6 and 8, after one day. The results of the average health risk index showed that As in the leachate from Zuoxiguo and Qinglong for children was 5.67 × 10−4 and 9.13 × 10−5, respectively, and 4.43 × 10−4 and 7.16 × 10−5, respectively, for adults. As in the leachate from Zuoxiguo poses serious carcinogenic risks for residents, and in the study area, As poses a serious threat to human health. Therefore, the local government must manage As in these areas. Full article
(This article belongs to the Topic Environmental Toxicology and Human Health)
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<p>Location of the two typical antimony mines.</p>
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<p>XRD pattern of two mining tailings. ((<b>a</b>): XRD analyse for Zuoxiguo mining tailings; (<b>b</b>): XRD analyse for Qionglong mining tailings).</p>
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<p>Leached concentration changes of Sb in different mines and pH changes of the leached solution (corresponding dashed labels). ((<b>a</b>): Sb’s leaching characteristics and pH changes in Zuoxiguo-tailings leachate; (<b>b</b>): Sb’s leaching characteristics and pH changes in Qinglong-tailings leachate).</p>
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<p>Leached concentration changes of As in Zuoxiguo and Qinglong mines and pH changes of the leached solution (corresponding dashed labels). ((<b>a</b>): As’s leaching characteristics and pH changes in Zuoxiguo-tailings leachate; (<b>b</b>): As’s leaching characteristics and pH changes in Qinglong-tailings leachate).</p>
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<p>As and Sb chemical proportions at different points in tailings of Zuoxiguo and Qinglong.((<b>a</b>): Proportions of chemical Sb species in tailings of Zuoxiguo; (<b>b</b>): Proportions of chemical As species in tailings of Qinglong).</p>
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<p>Tailing surface morphology changes before and after leaching: (<b>a</b>) Zuoxiguo antimony mine and (<b>b</b>) Qinglong antimony mine. Scale bar: 10 μm and 20 μm.</p>
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<p>Tailing surface morphology changes before and after leaching: (<b>a</b>) Zuoxiguo antimony mine and (<b>b</b>) Qinglong antimony mine. Scale bar: 10 μm and 20 μm.</p>
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16 pages, 3527 KiB  
Article
Perfluorotetradecanoic Acid (PFTeDA) Induces Mitochondrial Damage and Oxidative Stress in Zebrafish (Danio rerio) Embryos/Larvae
by Neep Patel, Emma Ivantsova, Isaac Konig, Christopher L. Souders II and Christopher J. Martyniuk
Toxics 2022, 10(12), 776; https://doi.org/10.3390/toxics10120776 - 12 Dec 2022
Cited by 4 | Viewed by 2788
Abstract
Industrial and consumer products, such as pesticides, lubricants, and cosmetics, can contain perfluorinated compounds (PFCs). Although many short-chain PFCs have been linked to physiological and behavioral changes in fish, there are limited data on longer-chain PFCs. The objective of this study was to [...] Read more.
Industrial and consumer products, such as pesticides, lubricants, and cosmetics, can contain perfluorinated compounds (PFCs). Although many short-chain PFCs have been linked to physiological and behavioral changes in fish, there are limited data on longer-chain PFCs. The objective of this study was to determine the potential impact of perfluorotetradecanoic acid (PFTeDA) exposure on zebrafish (Danio rerio) during early developmental stages. We measured several endpoints including gene expression, mitochondrial bioenergetics, and locomotor activity in zebrafish. Survival, timing of hatching, and deformity frequency were unaffected by PFTeDA at the concentrations tested (0.01, 0.1, 1, and 10 µM) over a 7-day exposure period. The expression levels of mitochondrial-related genes (cox1 and mt-nd3) and oxidative stress-related genes (cat, hsp70, and hsp90a) were increased in larval fish with exposure to 10 µM PFTeDA; however, there was no change in oxidative respiration of embryos (i.e., basal respiration and oligomycin-induced ATP-linked respiration). Reactive oxygen species were reduced in larvae treated with 10 µM PFTeDA, coinciding with the increased transcription of antioxidant defense genes. Both the visual motor response test and light–dark preference test were conducted on 7 dpf larvae and yielded no significant findings. This study improves current knowledge regarding toxicity mechanisms for longer-chain PFCs such as PFTeDA. Full article
(This article belongs to the Section Emerging Contaminants)
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<p>(<b>A</b>) Total percentage of surviving zebrafish embryos/larvae for ERM, 0.1% DMSO, 0.01 μM, 0.1 μM, 1 μM, and 10 μM PFTeDA over time based on Log-rank Mantel-Cox test. (<b>B</b>) Total percentage of hatched zebrafish embryos/larvae for ERM, 0.1% DMSO, 0.01 μM, 0.1 μM, 1 μM, and 10 μM PFTeDA over time. (<b>C</b>) Total percentage of deformities in zebrafish embryos/larvae for ERM, 0.1% DMSO, 0.01 μM, 0.1 μM, 1 μM, and 10 μM PFTeDA. (<b>D</b>) Representative zebrafish (<b>A</b>,<b>B</b>) and examples of spinal lordosis (SL) (<b>C</b>) and pericardium edema (PE) (<b>D</b>) at 3 dpf exposed to 0.1% DMSO, 1 μM, and 10 μM PFTeDA. The scale bar in each picture is 2000 µm.</p>
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<p>Oxygen consumption rate (OCR, pmol/min/embryo) for 30-h-old zebrafish embryos treated with PFTeDA for 24 h, beginning at 6 h. Effects of 1, 5, and 10 µM PFTeDA on mitochondrial endpoints compared to the vehicle control. (<b>A</b>) OCR over time, (<b>B</b>) Basal Respiration, (<b>C</b>) Oligomycin-induced ATP-Linked respiration, (<b>D</b>) FCCP-induced Maximal Respiration, (<b>E</b>) Proton Leak, and (<b>F</b>) Non-Mitochondrial Respiration. Each point is a biological replicate, and the horizontal line indicates the mean value of the group (mean ± S.D.) (one-way ANOVA with a Tukey’s multiple comparisons test, each group, n = 4 embryos from different exposure beakers). Symbols represent samples from different treatment groups. The ns = not significant.</p>
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<p>Normalized reactive oxygen species level in larval zebrafish treated with ERM, 0.1% DMSO, 0.1 μM, 1 μM, and 10 μM PFTeDA. Each point is a biological replicate and the horizontal line indicates the mean value of the group (mean ± S.D.) (one-way ANOVA followed by a Dunnett’s multiple comparisons test, n = 5/group). ** indicate that the values are significantly different from those of the control group at <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Acridine orange (apoptosis) staining in larval zebrafish treated with ERM, 0.1% DMSO, 0.1 μM, 1 μM, and 10 μM PFTeDA. Each point is a biological replicate and the horizontal line indicates the mean value of the group (mean ± S.D.) (one-way ANOVA followed by a Dunnett’s multiple comparisons test, n = 25/group).</p>
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<p>The expression levels of (<b>A</b>) <span class="html-italic">atp06</span>, (<b>B</b>) <span class="html-italic">cox4i1,</span> (<b>C</b>) <span class="html-italic">cox5a1,</span> (<b>D</b>) <span class="html-italic">cox1,</span> (<b>E</b>,<b>I</b>) <span class="html-italic">cyc1</span>, (<b>F</b>) <span class="html-italic">mt-nd1,</span> (<b>G</b>,<b>J</b>) <span class="html-italic">mt-nd2,</span> and (<b>H</b>) <span class="html-italic">mt-nd3</span> in 7-day old larval zebrafish exposed to either 0.1% DMSO, 0.01 μM, 0.1 μM, 1 μM, or 10 μM PFTeDA. Each point is a biological replicate, and the horizontal line indicates the mean value of the group (mean ± S.D.) (one-way ANOVA with a Dunnett’s multiple comparisons test, n = 3–5/group). An asterisk denotes a significant difference at * <span class="html-italic">p</span> &lt; 0.05 from the solvent control.</p>
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<p>The expression levels of (<b>A</b>) <span class="html-italic">cat,</span> (<b>B</b>) <span class="html-italic">hsp70,</span> (<b>C</b>) <span class="html-italic">hsp90a,</span> (<b>D</b>) <span class="html-italic">sod1,</span> and (<b>E</b>) <span class="html-italic">sod2</span> in 7-day old larval zebrafish exposed to either 0.1% DMSO, 0.01 μM, 0.1 μM, 1 μM, or 10 μM PFTeDA. Each point is a biological replicate, and the horizontal line indicates the mean value of the group (mean ± S.D.) (one-way ANOVA with a Dunnett’s multiple comparisons test, n = 3–5/group). An asterisk denotes a significant difference at * <span class="html-italic">p</span> &lt; 0.05 or ** <span class="html-italic">p</span> &lt; 0.01 from the solvent control.</p>
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<p>The light–dark preference test for anxiolytic behavior. (<b>A</b>) Total distance moved; (<b>B</b>) Frequency in dark zone; (<b>C</b>) Mean time in dark zone; (<b>D</b>) Cumulative duration in dark zone. Mean values are depicted by the individual columns that correspond to a treatment group (mean ± S.D.) (one-way ANOVA with a Dunnett’s multiple comparisons test, n = 31–46 fish/treatment, combined 3 trials). The ns = not significant.</p>
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5 pages, 214 KiB  
Editorial
Editorial for the Special Issue “Potentially Toxic Elements Pollution in Urban and Suburban Environments”
by Ilaria Guagliardi
Toxics 2022, 10(12), 775; https://doi.org/10.3390/toxics10120775 - 11 Dec 2022
Cited by 3 | Viewed by 1335
Abstract
Pollution by potentially toxic elements (PTEs) is becoming a serious and widespread issue in all environmental matrices because of accelerated population growth rate, rapid industrialization and urbanization, and other changes which have occurred in most parts of the world in the last few [...] Read more.
Pollution by potentially toxic elements (PTEs) is becoming a serious and widespread issue in all environmental matrices because of accelerated population growth rate, rapid industrialization and urbanization, and other changes which have occurred in most parts of the world in the last few decades [...] Full article
13 pages, 2304 KiB  
Article
The Distribution Pattern and Leaching Toxicity of Heavy Metals in Glass Ceramics from MSWI Fly Ash and Andesite Tailings
by Yongya Wang, Xinyi Huang, Wei Wang and Tao Wu
Toxics 2022, 10(12), 774; https://doi.org/10.3390/toxics10120774 - 10 Dec 2022
Cited by 4 | Viewed by 1476
Abstract
The leaching of heavy metals (HMs) is the key factor affecting the resource utilization of municipal solid waste incineration (MSWI) fly ash. A novel fly ash and andesite-tailings-based (FAAT) glass ceramic is prepared with the full-component utilization of MSWI fly ash and andesite [...] Read more.
The leaching of heavy metals (HMs) is the key factor affecting the resource utilization of municipal solid waste incineration (MSWI) fly ash. A novel fly ash and andesite-tailings-based (FAAT) glass ceramic is prepared with the full-component utilization of MSWI fly ash and andesite tailings. The effects of the content and distribution state of HMs on their leaching toxicity are studied by performing a sequential extraction procedure and leaching toxicity test. The results show that the MSWI fly ash content greatly impacts the HMs’ leaching toxicity in glass ceramics. Thus, the addition of MSWI fly ash must be maintained at below 20% so as to meet the class III groundwater standard. Furthermore, the different distribution states of Zn and Cr also affect their leaching toxicity. Zn suits the requirements for leaching toxicity only in a 2080c sample, while Cr fulfills the class III groundwater standard for all the glass ceramics. Since this finding is mismatched with the calculated potential ecological risk index of glass ceramics, the latter can only be used as a reference. Therefore, the results of the present study are of great significance in the vitrification application of MSWI fly ash. Full article
(This article belongs to the Section Metals and Radioactive Substances)
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<p>XRD patterns obtained from andesite tailing (<b>a</b>) and MSWI fly ash (<b>b</b>).</p>
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<p>Photographs of glass (<b>a</b>) and glass ceramic (<b>b</b>) samples.</p>
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<p>XRD patterns obtained from the glass (<b>a</b>) and glass ceramic (<b>b</b>) samples.</p>
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<p>(<b>a</b>) SEM micrographs and (<b>b</b>) FIB-SIMS images of the glass ceramic samples.</p>
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<p>HM distribution patterns in (<b>a</b>) glass and (<b>b</b>) glass ceramic samples.</p>
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<p>(<b>a</b>) Single HM potential ecological risk level and (<b>b</b>) multi metal potential ecological risk index (RI).</p>
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<p>(<b>a</b>) Leaching toxicity and (<b>b</b>) leaching rates of HMs in glass and glass ceramic samples.</p>
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15 pages, 2043 KiB  
Article
Accumulation of Metals in the Environment and Grazing Livestock near A Mongolian Mining Area
by Bayartogtokh Bataa, Kodai Motohira, Delgermurun Dugar, Tsend-Ayush Sainnokhoi, Lkhamjav Gendenpil, Tserenchimed Sainnokhoi, Bolormaa Pelden, Yared Beyene Yohannes, Sumiya Ganzorig, Shouta M. M. Nakayama, Mayumi Ishizuka and Yoshinori Ikenaka
Toxics 2022, 10(12), 773; https://doi.org/10.3390/toxics10120773 - 10 Dec 2022
Cited by 2 | Viewed by 2577
Abstract
The Mongolian economy is supported by rich deposits of natural resources, such as copper, coal, and gold. However, the risk of heavy metal pollution to livestock and human have been recently discussed. This research collected various samples from soil and animal (sheep, goat, [...] Read more.
The Mongolian economy is supported by rich deposits of natural resources, such as copper, coal, and gold. However, the risk of heavy metal pollution to livestock and human have been recently discussed. This research collected various samples from soil and animal (sheep, goat, horse, cow, and camel), blood and organs (kidney and liver) in the Mongolian countryside. These samples were processed, and the concentration of metals was quantified using inductively coupled plasma-mass spectrometry (ICP/MS). As previously reported, arsenic was found at high levels of accumulation in soil. Selenium is another concern, as median concentration in one area exceeded the maximum allowable level. Cadmium and selenium were found to be highly accumulated in animal kidney. This research revealed the current pollution level in Mongolia based on evaluation of soil and animals. The concentration in animals could not indicate that animals had severe effects because of heavy metal exposure. However, kidney is eaten in Mongolia, and so there is a direct connection to human health, and this research suggested the possible risks posed by each edible animal. In particular, evaluation of metals in livestock is rare in Mongolia. This result can contribute to animal and human health in Mongolian communities. Full article
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<p>Sampling location. Sampling areas in Tuv-Aimag Zaamar, Dornogovi Airag, Zuun-bayan and Ulaanbadrakh were described by map using ArcGIS 10.7.1 (ESRI Co., Redlands, CA, USA).</p>
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<p>Arsenic and selenium concentration in soil (all samples in this study). Arsenic (<b>a</b>) and selenium (<b>b</b>) concentration in all soil samples are shown in a box plot. The black line shows the maximum allowable limit, as regulated in Mongolia (arsenic: 20 mg/kg soil, selenium: 10 mg/kg soil).</p>
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<p>Copper, zinc and selenium concentration in liver. Copper (<b>a</b>), zinc (<b>b</b>) and selenium (<b>c</b>) concentration in liver samples are shown in a box plot. The black line shows toxic and deficient level in (<b>a</b>) and (<b>b</b>), and marginally deficient level in (<b>c</b>). Deficient lines in (<b>b</b>) and (<b>c</b>) indicated 40 and 1.25 mg/kg although they had range 20—40 and 0.6—1.25 mg/kg respectively.</p>
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24 pages, 2212 KiB  
Review
Genetic Diversity of Microcystin Producers (Cyanobacteria) and Microcystin Congeners in Aquatic Resources across Africa: A Review Paper
by Mathias Ahii Chia, Ilu Ameh, Korie Chibuike George, Emmanuel Oluwadare Balogun, Suwebat Ayanronke Akinyemi and Adriana Sturion Lorenzi
Toxics 2022, 10(12), 772; https://doi.org/10.3390/toxics10120772 - 10 Dec 2022
Cited by 8 | Viewed by 2370
Abstract
Microcystins are produced by multifaceted organisms called cyanobacteria, which are integral to Africa’s freshwater environments. The excessive proliferation of cyanobacteria caused by rising temperature and eutrophication leads to the production and release of copious amounts of microcystins, requiring critical management and control approaches [...] Read more.
Microcystins are produced by multifaceted organisms called cyanobacteria, which are integral to Africa’s freshwater environments. The excessive proliferation of cyanobacteria caused by rising temperature and eutrophication leads to the production and release of copious amounts of microcystins, requiring critical management and control approaches to prevent the adverse environmental and public health problems associated with these bioactive metabolites. Despite hypotheses reported to explain the phylogeography and mechanisms responsible for cyanobacterial blooms in aquatic water bodies, many aspects are scarcely understood in Africa due to the paucity of investigations and lack of uniformity of experimental methods. Due to a lack of information and large-scale studies, cyanobacteria occurrence and genetic diversity are seldom reported in African aquatic ecosystems. This review covers the diversity and geographical distribution of potential microcystin-producing and non-microcystin-producing cyanobacterial taxa in Africa. Molecular analyses using housekeeping genes (e.g., 16S rRNA, ITS, rpoC1, etc.) revealed significant sequence divergence across several cyanobacterial strains from East, North, West, and South Africa, but the lack of uniformity in molecular markers employed made continent-wise phylogenetic comparisons impossible. Planktothrix agardhii, Microcystis aeruginosa, and Cylindrospermopsis raciborskii (presently known as Raphidiopsis raciborskii) were the most commonly reported genera. Potential microcystin (MCs)-producing cyanobacteria were detected using mcy genes, and several microcystin congeners were recorded. Studying cyanobacteria species from the African continent is urgent to effectively safeguard public and environmental health because more than 80% of the continent has no data on these important microorganisms and their bioactive secondary metabolites. Full article
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<p>Microcystin chemical structure generalized as cyclo-D-Ala<sup>1</sup>-X<sup>2</sup>-D-MeAsp<sup>3</sup>-Z<sup>4</sup>-Adda<sup>5</sup>-D-Glu<sup>6</sup>-Mdha<sup>7</sup>, where X and Z denote the highly variable L-amino acids present at the second and fourth positions, with possible different combinations of seven amino acids that can produce different microcystin variants (modified from Butler et al. [<a href="#B13-toxics-10-00772" class="html-bibr">13</a>]).</p>
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<p>Microcystin congeners. (<b>A</b>) Microcystin-AR, (<b>B</b>) Microcystin-LF, (<b>C</b>) Microcystin-LR, (<b>D</b>) Microcystin –LY. Source: PubChem.</p>
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<p>Neighbor-joining phylogenetic tree of the 16S rDNA gene of bloom samples and isolated cyanobacteria from Africa and other continents. The bootstrap consensus tree was inferred from 1000 replicates, and the evolutionary distances were computed using the maximum composite likelihood method. All ambiguous positions were removed for each sequence pair (pairwise deletion option). There were a total of 1462 bp in the final dataset. Evolutionary analyses were conducted in MEGA X version 11 for macOS.</p>
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<p>Phylogenetic tree constructed using the neighbor-joining method of the ITS1 sequences’ gene of cyanobacteria detected from studies on the continent. Branches corresponding to partitions reproduced in less than 50% of bootstrap replicates are collapsed. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) are shown next to the branches. The evolutionary distances were computed using the Kimura 2-parameter method and are in the units of the number of base substitutions per site. This analysis involved 34 nucleotide sequences. All ambiguous positions were removed for each sequence pair (pairwise deletion option). There was a total of 539 bp in the final dataset. Evolutionary analyses were conducted in MEGA X version 11.</p>
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<p>UPGMA phylogenetic tree of the <span class="html-italic">mcy</span>E gene of blooms and isolated cyanobacteria from Africa and other continents. The bootstrap consensus tree was inferred from 1000 replicates, and the evolutionary distances were computed using the maximum composite likelihood method. The analysis involved 54 nucleotide sequences. All ambiguous positions were removed for each sequence pair (pairwise deletion option). There was a total of 847 bp in the final dataset. Evolutionary analyses were conducted in MEGA X version 11 for macOS.</p>
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11 pages, 2462 KiB  
Article
Disposition of Aerosols of Isothiazolinone-Biocides: BIT, MIT and OIT
by Seungmi Lee, Heui-Jin Park, Eunice B. Lee, Do Hyeon Lee, Dalwoong Choi and Kyung-Min Lim
Toxics 2022, 10(12), 770; https://doi.org/10.3390/toxics10120770 - 10 Dec 2022
Cited by 1 | Viewed by 2937
Abstract
Biocides are widely used in everyday life, and accordingly, human exposure to them is inevitable. Especially, the inhalational exposure of humans to biocides and resultant respiratory toxicity are gaining public interest due to the recent catastrophe associated with humidifier disinfectants. Aerosolized chemicals are [...] Read more.
Biocides are widely used in everyday life, and accordingly, human exposure to them is inevitable. Especially, the inhalational exposure of humans to biocides and resultant respiratory toxicity are gaining public interest due to the recent catastrophe associated with humidifier disinfectants. Aerosolized chemicals are subject to gravitational deposition and chemical degradation. Therefore, the characterization of the disposition of aerosols is essential to estimate the inhalational exposure to biocides. Here, we compared the disposition of aerosols of one of the commonly used biocide classes, isothiazolinone-based biocides, BIT, MIT, and OIT. An acrylic chamber (40 cm × 40 cm × 50 cm) was created to simulate the indoor environment, and a vacuum pump was used to create airflow (1 LPM). Biocides were sprayed from a vertical nebulizer placed on the ceiling of the chamber, and the distribution of particle sizes and volume was measured using the Optical Particle Sizer (OPS) 3330 device. During and after the aerosol spraying, airborne biocides and those deposited on the surface of the chamber were sampled to measure the deposition using LC-MS/MS. As a result, the broad particle size distribution was observed ranging from 0.3 to 8 μm during the nebulization. The inhalable particle faction (>2 μm) of the isothiazolinones was 32–67.9% in number but 1.2 to 6.4% in volume. Most of the aerosolized biocides were deposited on the chamber’s surface while only a minimal portion was airborne (<1%) after the nebulization. More importantly, significant amounts of MIT and OIT were degraded during aerosolization, resulting in poor total recovery compared to BIT (31%, 71% vs. 97% BIT). This result suggests that some isothiazolinones may become unstable during nebulization, affecting their disposition and human exposure significantly. Full article
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<p>Aerosol exposure system of humidified biocides to the OPSS through a nebulizer.</p>
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<p>(<b>a</b>) Chamber setting for sampling aerosolized biocides with aluminum foil. (<b>b</b>) Setup of the aluminum foils (10 × 10 cm) on each side of the chamber.</p>
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<p>Structure and representative LC-MS/MS chromatograms of BIT, MIT, and OIT at 500 ng/mL.</p>
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<p>Particle size distribution of BIT aerosols (250 and 500 μg/mL) in number measured in an in-house-built exposure chamber.</p>
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<p>Particle distribution of BIT, OIT and MIT aerosols (at 500 μg/mL) in number were measured in an in-house-built exposure chamber.</p>
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<p>Particle distribution of BIT, MIT, and OIT aerosols in volume measured in an in-house-built exposure chamber.</p>
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<p>Disposition of biocide aerosols in the exposure chamber. The aerosolized isothiazolinones deposited on the chamber surface and escaped through the air flow (PTFE filter and an impinger) were collected and analyzed.</p>
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