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Search Results (13,148)

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11 pages, 1069 KiB  
Article
Stilbenes in Carex acuta and Carex lepidocarpa
by Jan Tříska, Naděžda Vrchotová, Štěpán Horník, Jan Sýkora and Andrea Kučerová
Molecules 2024, 29(16), 3840; https://doi.org/10.3390/molecules29163840 (registering DOI) - 13 Aug 2024
Abstract
Stilbenes in the roots of Carex acuta and Carex lepidocarpa were studied. Root samples were extracted with 100% methanol and analyzed by HPLC and LC-MS. In this way, trans-resveratrol dimers (m/z 455 Da [M + H]+), trimers [...] Read more.
Stilbenes in the roots of Carex acuta and Carex lepidocarpa were studied. Root samples were extracted with 100% methanol and analyzed by HPLC and LC-MS. In this way, trans-resveratrol dimers (m/z 455 Da [M + H]+), trimers (m/z 681 Da [M + H]+) and tetramers (m/z 907 Da [M + H]+) were identified in the extracts. Using LC-NMR in stop-flow mode, pallidol and trans-ε-viniferin as dimers were identified. After the separation of individual peaks and their measurement by 1H NMR, cis and trans-miyabenol A as a tetramer and cis-miyabenol C as a trimer were identified. In the case of miyabenol A, it is a chromatographically inseparable mixture of cis and trans isomers in the ratio of 2:3 according to 1H NMR measurement. In the case of cis-miyabenol C, the Z-trans-trans-miyabenol C configuration was confirmed. The remaining unidentified peak with a practically identical UV-VIS spectrum to that of cis-miyabenol C is most likely another isomer of miyabenol C. Full article
(This article belongs to the Collection Bioactive Compounds)
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Figure 1
<p>Chemical structure of some stilbenes.</p>
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<p>LC/MS of <span class="html-italic">Carex lepidocarpa</span> extract (PDA; full scan: +APCI). See <a href="#molecules-29-03840-t002" class="html-table">Table 2</a> for the description of the peaks (1–6).</p>
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<p>UV spectrum of selected peaks.</p>
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12 pages, 2259 KiB  
Article
Charge Variants Characterization of Co-Formulated Antibodies by Three-Dimensional Liquid Chromatography–Mass Spectrometry
by Xiaoqing Jin, Luna Chen, Jianlin Chu and Bingfang He
Biomolecules 2024, 14(8), 999; https://doi.org/10.3390/biom14080999 (registering DOI) - 13 Aug 2024
Abstract
Co-formulated antibodies can bring clinical benefits to patients by combining two or more antibodies in a single dosage form. However, the quality analysis of co-formulated antibodies raises additional challenges, compared to individual antibodies, due to the need for accurate analysis of multiple antibodies [...] Read more.
Co-formulated antibodies can bring clinical benefits to patients by combining two or more antibodies in a single dosage form. However, the quality analysis of co-formulated antibodies raises additional challenges, compared to individual antibodies, due to the need for accurate analysis of multiple antibodies in one solution. It is extremely difficult to effectively separate the charge variants of the two co-formulated antibodies using one ion exchange chromatography (IEC) method because of their similar characteristics. In this study, a novel method was developed for the charge variants characterization of co-formulated antibodies using three-dimensional liquid chromatography–mass spectrometry (3D-LC-MS). Hydrophobic interaction chromatography (HIC) was used as the first dimension to separate and collect the two co-formulated antibodies. The two collections were then injected into the second-dimension IEC separately for charge variants separation and analysis. Subsequently, the separated charge variants underwent on-line desalting in the third-dimension reverse-phase chromatography (RPC) and subsequent mass spectroscopy analysis. The novel method could simultaneously provide a charge variants ratio and post-translational modification (PTM) data for the two co-formulated antibodies. Therefore, it could be used for release testing and stability studies of co-formulated antibodies, making up for the shortcomings of the existing approaches. It was the first time that charge variants of co-formulated antibodies were characterized by the 3D-LC-MS method, to the best of our knowledge. Full article
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Figure 1

Figure 1
<p>Schematic diagram of the 3D-LC-MS method for the charge variants characterization of co-formulated antibodies.</p>
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<p>Chromatography of mAb A and mAb B in the HIC optimization. (<b>A1</b>) mAb A under the conditions of optimization 1; (<b>A2</b>) mAb B under the conditions of optimization 1; (<b>B1</b>) mAb A under the conditions of optimization 2; (<b>B2</b>) mAb B under the conditions of optimization 2; (<b>C1</b>) mAb A under the conditions of optimization 3; and (<b>C2</b>) mAb B under the conditions of optimization 3.</p>
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<p>Chromatography overlay in optimized HIC. (<b>A</b>) Individual mAb A, individual mAb B, and co-formulated antibodies in optimized HIC; (<b>B</b>) co-formulated antibodies in optimized HIC in triplicate. The difference in the retention time was due to the different columns and HPLCs, but there was no detrimental effect on the resolutions of the mAb A peak and the mAb B peak.</p>
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<p>Raw MS spectra and deconvoluted MS spectra of charge variants of mAb A in co-formulated antibodies using the 3D-LC-MS method. (<b>A1</b>) Raw MS spectra of acidic peak 1; (<b>A2</b>) deconvoluted MS spectra of acidic peak 1; (<b>B1</b>) raw MS spectra of acidic peak 2; (<b>B2</b>) deconvoluted MS spectra of acidic peak 2; (<b>C1</b>) raw MS spectra of main peak 3; (<b>C2</b>) deconvoluted MS spectra of main peak 3; (<b>D1</b>) raw MS spectra of basic peak 4; (<b>D2</b>) deconvoluted MS spectra of basic peak 4; (<b>E1</b>) raw MS spectra of basic peak 5; and (<b>E2</b>) deconvoluted MS spectra of basic peak 5. There were some species with +98 Da in the deconvoluted MS spectra, which arose from the attachment of phosphoric acid. Phosphoric acid adducts were very common in MS [<a href="#B19-biomolecules-14-00999" class="html-bibr">19</a>] when phosphoric acid was used in the mobile phase, even though the desalting step was utilized before MS.</p>
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<p>Raw MS spectra and deconvoluted MS spectra of charge variants of mAb B in co-formulated antibodies using the 3D-LC-MS method. (<b>A1</b>) Raw MS spectra of acidic peak 1; (<b>A2</b>) deconvoluted MS spectra of acidic peak 1; (<b>B1</b>) raw MS spectra of acidic peak 2; (<b>B2</b>) deconvoluted MS spectra of acidic peak 2; (<b>C1</b>) raw MS spectra of main peak 3; (<b>C2</b>) deconvoluted MS spectra of main peak 3; (<b>D1</b>) raw MS spectra of basic peak 4; (<b>D2</b>) deconvoluted MS spectra of basic peak 4; (<b>E1</b>) raw MS spectra of basic peak 5; and (<b>E2</b>) deconvoluted MS spectra of basic peak 5. There were some species with +98 Da in the deconvoluted MS spectra, which arose from the attachment of phosphoric acid. Phosphoric acid adducts were very common in MS [<a href="#B19-biomolecules-14-00999" class="html-bibr">19</a>] when phosphoric acid was used in the mobile phase, even though the desalting step was utilized before MS.</p>
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14 pages, 1202 KiB  
Article
Comparison of Peptidomes Extracted from Healthy Tissue and Tumor Tissue of the Parotid Glands and Saliva Samples
by Michał Puchalski, Dmitry Tretiakow, Andrzej Skorek, Konrad Szydłowski, Dominik Stodulski, Bogusław Mikaszewski, Amadeusz Odroniec, Natalia Musiał, Marcel Thiel, Paulina Czaplewska and Stanisław Ołdziej
Int. J. Mol. Sci. 2024, 25(16), 8799; https://doi.org/10.3390/ijms25168799 (registering DOI) - 13 Aug 2024
Abstract
Salivary gland tumors are highly variable in clinical presentation and histology. The World Health Organization (WHO) classifies 22 types of malignant and 11 types of benign tumors of the salivary glands. Diagnosis of salivary gland tumors is based on imaging (ultrasound, magnetic resonance [...] Read more.
Salivary gland tumors are highly variable in clinical presentation and histology. The World Health Organization (WHO) classifies 22 types of malignant and 11 types of benign tumors of the salivary glands. Diagnosis of salivary gland tumors is based on imaging (ultrasound, magnetic resonance imaging) and fine-needle aspiration biopsy, but the final diagnosis is based on histopathological examination of the removed tumor tissue. In this pilot study, we are testing a new approach to identifying peptide biomarkers in saliva that can be used to diagnose salivary gland tumors. The research material for the peptidomic studies was extracts from washings of neoplastic tissues and healthy tissues (control samples). At the same time, saliva samples from patients and healthy individuals were analyzed. The comparison of the peptidome composition of tissue extracts and saliva samples may allow the identification of potential peptide markers of salivary gland tumors in patients’ saliva. The peptidome compositions extracted from 18 tumor and 18 healthy tissue samples, patients’ saliva samples (11 samples), and healthy saliva samples (8 samples) were analyzed by LC-MS tandem mass spectrometry. A group of 109 peptides was identified that were present only in the tumor tissue extracts and in the patients’ saliva samples. Some of the identified peptides were derived from proteins previously suggested as potential biomarkers of salivary gland tumors (ANXA1, BPIFA2, FGB, GAPDH, HSPB1, IGHG1, VIM) or tumors of other tissues or organs (SERPINA1, APOA2, CSTB, GSTP1, S100A8, S100A9, TPI1). Unfortunately, none of the identified peptides were present in all samples analyzed. This may be due to the high heterogeneity of this type of cancer. The surprising result was that extracts from tumor tissue did not contain peptides derived from salivary gland-specific proteins (STATH, SMR3B, HTN1, HTN3). These results could suggest that the developing tumor suppresses the production of proteins that are essential components of saliva. Full article
(This article belongs to the Special Issue Omics Sciences for Salivary Diagnostics—2nd Edition)
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Graphical abstract

Graphical abstract
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<p>Venn diagrams showing numbers of identified peptides: (<b>A</b>) peptides identified in extracts from tumor tissue and healthy salivary gland samples, (<b>B</b>) peptides identified in extracts from patients’ and healthy subjects’ saliva. Diagrams show combined results from analyzing all samples.</p>
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<p>An example of the classification of identified peptides; *—unique peptide, **—stand-alone peptide.</p>
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<p>Coverage of the amino acid sequence of statherin (UniProt ID: P02808) by peptides identified in saliva (<b>left</b>) and tissue extracts (<b>right</b>). The green line schematically shows the amino acid sequence of statherin, the <span class="html-italic">x</span>-axis shows the length of the protein. In both panels, red and blue lines represent peptides identified as fragments of the parent protein. Blue colors represent peptides identified in saliva from healthy individuals and peptides extracted from healthy tissue samples. Peptides identified in patients’ saliva or extracted from tumor tissue are shown in red.</p>
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<p>Workflow of peptide isolation from salivary gland tissue.</p>
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15 pages, 1397 KiB  
Article
Lethal and Sublethal Effects of Afidopyropen and Flonicamid on Life Parameters and Physiological Responses of the Tobacco Whitefly, Bemisia tabaci MEAM1
by Wenjuan Ding, Tengfei Xu, Guodong Zhu, Pengfei Chu, Shouzhu Liu and Ming Xue
Agronomy 2024, 14(8), 1774; https://doi.org/10.3390/agronomy14081774 - 13 Aug 2024
Abstract
The tobacco whitefly, Bemisia tabaci MEAM1, is a destructive pest that damages plants by sucking plant juice and transmitting viruses. B. tabaci insecticide resistance contributes to population resurgence, and new insecticides are continually needed. Flonicamid and afidopyropen are selective pesticides with high insecticidal [...] Read more.
The tobacco whitefly, Bemisia tabaci MEAM1, is a destructive pest that damages plants by sucking plant juice and transmitting viruses. B. tabaci insecticide resistance contributes to population resurgence, and new insecticides are continually needed. Flonicamid and afidopyropen are selective pesticides with high insecticidal activity against piercing–sucking pests and safety to non-target species. We determined the toxicity of flonicamid and afidopyropen to B. tabaci, investigated the sublethal effects on life parameters, and studied physiological responses to them. Flonicamid and afidopyropen were highly toxic to B. tabaci, with LC50 values of 12.795 mg/L (afidopyropen) and 25.359 mg/L (flonicamid) to nymphs and 4.711 mg/L (afidopyropen) and 11.050 mg/L (flonicamid) to adults. Sublethal concentrations (LC10 and LC20) reduced the longevity and fecundity of the B. tabaci F0 generation. Transgenerational effects were caused by exposure to sublethal concentrations of flonicamid and afidopyropen. Nymph mortality increased, development was delayed, fecundity decreased, and adult longevity was shortened. Population parameters such as the intrinsic rate of growth (r), net reproductive rate (R0), and finite rate of growth (λ) were significantly decreased compared to the control. The activity of detoxifying enzymes, such as GSTs and P450, were induced by flonicamid and afidopyropen at 72 h, while CarE was inhibited. The expression levels of eleven P450 genes and four GST genes were significantly higher than in the control. In conclusion, flonicamid and afidopyropen have excellent acute toxicity and continuous control effects on B. tabaci. Higher GST and P450 activities and gene expression levels may play important roles in the detoxification metabolic process. Full article
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<p>Age–stage-specific survival rate (<span class="html-italic">S<sub>xj</sub></span>) of <span class="html-italic">B. tabaci</span> F1 generation after treatment with sublethal concentrations of flonicamid and afidopyropen.</p>
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<p>Age-specific survival rate (<span class="html-italic">l<sub>x</sub></span>), female age-specific fecundity (<span class="html-italic">f<sub>xj</sub></span>), age-specific fecundity of total population (<span class="html-italic">m<sub>x</sub></span>), and age-specific maternity (<span class="html-italic">l<sub>x</sub>m<sub>x</sub></span>) of <span class="html-italic">B. tabaci</span> F1 generation after treatment with sublethal concentrations of flonicamid and afidopyropen.</p>
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<p>CarE (<b>A</b>), GSTs (<b>B</b>), and P450 (<b>C</b>) activities of <span class="html-italic">B. tabaci</span> adults treated by flonicamid and afidopyropen. Each value represents the mean (±SE) of three replications. Different letters over the bars indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 (Tukey’s HSD).</p>
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<p>Gene expression levels related to P450 and GSTs of <span class="html-italic">B. tabaci</span> adults treated by flonicamid and afidopyropen. Each value represents the mean (±SE) of three replications, and different letters over the bars indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 (Tukey’s HSD).</p>
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19 pages, 4778 KiB  
Article
Assessing Historical LULC Changes’ Effect on Ecosystem Services Provisioning and Their Values in a Mediterranean Coastal Lagoon Complex
by Anastasia Mirli, Dionissis Latinopoulos, Georgia Galidaki, Konstantinos Bakeas and Ifigenia Kagalou
Land 2024, 13(8), 1277; https://doi.org/10.3390/land13081277 - 13 Aug 2024
Abstract
Urbanization and land claim trends for agriculture have led to land use/land cover (LULC) changes, acting as driving forces for several natural environment alterations. The ecosystem services (ES) concept links ecosystem degradation with direct adverse effects on human welfare, emphasizing the importance of [...] Read more.
Urbanization and land claim trends for agriculture have led to land use/land cover (LULC) changes, acting as driving forces for several natural environment alterations. The ecosystem services (ES) concept links ecosystem degradation with direct adverse effects on human welfare, emphasizing the importance of balancing human activities and ecosystem health. LULC changes and their impacts on ES are crucial for nature conservation and decision-making. To support sustainable management, a historical (75-year) assessment of Nestos Delta lagoons was conducted, using aerial photos and satellite images, providing valuable insights into the drivers and trends of these changes. Until 1960, water-related Biomes were affected the most, in favor of agricultural (Nestos River incubation) and urban ones, but anthropogenic activities development rate reduced after land reclamation. Since their inclusion in the Natura 2000 network and designation as a National Park, they have been protected from rapid development. Over the past two decades, they have increased the economic value of their cultural ES, while deteriorating regulating and having a minimal impact on provisioning services, resulting in a cumulative loss exceeding USD 30 million during the study period. This study strongly indicates the vital importance of legislative protection and the integration of the ES approach in priority habitat management. Full article
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<p>Study area: Nestos Delta lagoons.</p>
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<p>Chronological time-flow representation of Nestos River and Delta historical events.</p>
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<p>Historical LULC changes in ND lagoons (1945–2015), using CLC codes.</p>
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<p>Biome transformations in each lagoon at each time step.</p>
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<p>Graphical representation of the links of Biomes with ES and their reference values.</p>
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7 pages, 8641 KiB  
Communication
Performance Characterization of an Illumination-Based Low-Cost Multispectral Camera
by Hedde van Hoorn, Angel Schraven, Hugo van Dam, Joshua Meijer, Roman Sillé, Arjan Lock and Steven van den Berg
Sensors 2024, 24(16), 5229; https://doi.org/10.3390/s24165229 (registering DOI) - 13 Aug 2024
Viewed by 1
Abstract
Spectral imaging has many applications, from methane detection using satellites to disease detection on crops. However, spectral cameras remain a costly solution ranging from 10 thousand to 100 thousand euros for the hardware alone. Here, we present a low-cost multispectral camera (LC-MSC) with [...] Read more.
Spectral imaging has many applications, from methane detection using satellites to disease detection on crops. However, spectral cameras remain a costly solution ranging from 10 thousand to 100 thousand euros for the hardware alone. Here, we present a low-cost multispectral camera (LC-MSC) with 64 LEDs in eight different colors and a monochrome camera with a hardware cost of 340 euros. Our prototype reproduces spectra accurately when compared to a reference spectrometer to within the spectral width of the LEDs used and the ±1σ variation over the surface of ceramic reference tiles. The mean absolute difference in reflectance is an overestimate of 0.03 for the LC-MSC as compared to a spectrometer, due to the spectral shape of the tiles. In environmental light levels of 0.5 W m−2 (bright artificial indoor lighting) our approach shows an increase in noise, but still faithfully reproduces discrete reflectance spectra over 400 nm–1000 nm. Our approach is limited in its application by LED bandwidth and availability of specific LED wavelengths. However, unlike with conventional spectral cameras, the pixel pitch of the camera itself is not limited, providing higher image resolution than typical high-end multi- and hyperspectral cameras. For sample conditions where LED illumination bands provide suitable spectral information, our LC-MSC is an interesting low-cost alternative approach to spectral imaging. Full article
(This article belongs to the Collection Advances in Spectroscopy and Spectral Imaging)
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<p>The low–cost multispectral camera (LC–MSC) prototype design and LED colors. In (<b>a</b>) schematic depiction and (<b>b</b>) photo of the realized prototype with green LEDs turned on. Denoted are (A) 3D printed PLA housing, (B) donut-shaped PCB with LEDs, (C) Arducam OV2311 monochrome camera, (D) diffuser and (E) Raspberry Pi 4 with PCB HAT (only slightly visible, mounted on the back). (<b>c</b>) shows normalized spectra of LEDs and Gaussian fits to determine spectral width of the 5 visible (plotted in their median color) and 3 infrared LEDs (in grey and black).</p>
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<p>Spectral comparison for the Pink (top row) and Orange (bottom row) tiles (RGB-reconstructed images in (<b>a</b>,<b>d</b>)) show good correspondence to independently measured spectra in both dark (<b>b</b>,<b>e</b>) and indoor illumination (<b>c</b>,<b>f</b>) conditions. With indoor illumination conditions the variation in reflectance over the selected pixels (selection depicted as opaque white square) increases, in particular for the 405 nm and 950 nm LED, as their intensity is relatively low. Both multispectral images still show good correspondence to the (fully independent) reference measurement using a spectrometer, as given by the black line in (<b>b</b>,<b>c</b>,<b>e</b>,<b>f</b>).</p>
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<p>Spectral comparison of reflectance of various ceramic tiles without (<b>a</b>) and with (<b>b</b>) indoor illumination. Identical samples are color-coded and named according to the Ceramic Colour Standards Series II. Both the independent LC-MSC results (dots with error bars) and the spectrometer reference (full line in same color) are given. Error bar width is <math display="inline"><semantics> <mrow> <mo>±</mo> <mn>2</mn> <mi>δ</mi> <mi>λ</mi> </mrow> </semantics></math> of a Gaussian fit to the LED spectrum and the reflectance uncertainty is given by ±1<math display="inline"><semantics> <mi>σ</mi> </semantics></math> of the selected pixels on the tile. (<b>c</b>) histogram of absolute difference in <span class="html-italic">R</span> of the LC-MSC reflectance as compared to the spectrometer at the same narrow band shows a mean absolute difference of 0.03 over 8 colored reference tiles (more than shown in (<b>a</b>,<b>b</b>) alone).</p>
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14 pages, 2564 KiB  
Article
LC/MS-Based Untargeted Lipidomics Reveals Lipid Signatures of Sarcopenia
by Qianwen Yang, Zhiwei Zhang, Panpan He, Xueqian Mao, Xueyi Jing, Ying Hu and Lipeng Jing
Int. J. Mol. Sci. 2024, 25(16), 8793; https://doi.org/10.3390/ijms25168793 (registering DOI) - 13 Aug 2024
Viewed by 51
Abstract
Sarcopenia, a multifactorial systemic disorder, has attracted extensive attention, yet its pathogenesis is not fully understood, partly due to limited research on the relationship between lipid metabolism abnormalities and sarcopenia. Lipidomics offers the possibility to explore this relationship. Our research utilized LC/MS-based nontargeted [...] Read more.
Sarcopenia, a multifactorial systemic disorder, has attracted extensive attention, yet its pathogenesis is not fully understood, partly due to limited research on the relationship between lipid metabolism abnormalities and sarcopenia. Lipidomics offers the possibility to explore this relationship. Our research utilized LC/MS-based nontargeted lipidomics to investigate the lipid profile changes as-sociated with sarcopenia, aiming to enhance understanding of its underlying mechanisms. The study included 40 sarcopenia patients and 40 control subjects matched 1:1 by sex and age. Plasma lipids were detected and quantified, with differential lipids identified through univariate and mul-tivariate statistical analyses. A weighted correlation network analysis (WGCNA) and MetaboAna-lyst were used to identify lipid modules related to the clinical traits of sarcopenia patients and to conduct pathway analysis, respectively. A total of 34 lipid subclasses and 1446 lipid molecules were detected. Orthogonal partial least squares discriminant analysis (OPLS-DA) identified 80 differen-tial lipid molecules, including 38 phospholipids. Network analysis revealed that the brown module (encompassing phosphatidylglycerol (PG) lipids) and the yellow module (containing phosphati-dylcholine (PC), phosphatidylserine (PS), and sphingomyelin (SM) lipids) were closely associated with the clinical traits such as maximum grip strength and skeletal muscle mass (SMI). Pathway analysis highlighted the potential role of the glycerophospholipid metabolic pathway in lipid me-tabolism within the context of sarcopenia. These findings suggest a correlation between sarcopenia and lipid metabolism disturbances, providing valuable insights into the disease’s underlying mechanisms and indicating potential avenues for further investigation. Full article
(This article belongs to the Section Molecular Endocrinology and Metabolism)
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<p>Statistical chart of lipid subclasses and lipid molecule counts. (Note: The horizontal axis represents the detected lipid subclasses, while the vertical axis shows the number of lipid molecules within each subclass).</p>
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<p>Statistical chart of lipid subclasses and lipid molecule counts.</p>
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<p>Differential lipid molecules between the two groups—volcano plot. The x-axis in the figure represents the log2-transformed fold change values of differential expression, and the y-axis represents the log10-transformed <span class="html-italic">p</span> value. (Note: Compared to the control group, red indicates the upregulation of lipid molecules in the disease group, blue indicates downregulation, and gray represents no significant difference).</p>
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<p>OPLS-DA score plot and permutation test. (<b>A</b>) OPLS-DA score plot of the two groups. The <span class="html-italic">x</span>-axis and <span class="html-italic">y</span>-axis represent the first and second principal components, respectively. Dots of the same color represent various biological replicates within the group. Red represents the sarcopenia group, and green represents the control group. The distribution of dots reflects the degree of difference between and within groups. (<b>B</b>) Permutation test of the OPLS-DA model. The <span class="html-italic">x</span>-axis represents the permuted Q2 values, and the <span class="html-italic">y</span>-axis indicates the frequency of these values.</p>
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<p>Matchsticks of the 15 most significantly upregulated and downregulated lipids.</p>
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<p>Correlation between lipid metabolism modules and clinical features using WGCNA. (<b>A</b>) Determination of optimal soft threshold power for network construction. The red line in <a href="#ijms-25-08793-f006" class="html-fig">Figure 6</a> (<b>A</b>) indicates the threshold for achieving a scale-free topology model fit with RsquaredCut &gt; 0.9, which is considered optimal for network construction. (<b>B</b>) A module dendrogram was used to illustrate the lipid distribution across different modules. (<b>C</b>) Pearson correlation analysis of the network mod-ules and continuous demographic characteristics of the sarcopenia samples. The color gradient signifies the direction and strength of the correlation, with red indicating positive correlations and blue indicating negative correlations. The numbers inside the boxes represent the correlation coefficients, and the values in parentheses show the corresponding <span class="html-italic">p</span> values.</p>
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<p>Pathway enrichment analysis of differential lipid molecules (NOTES: The <span class="html-italic">x</span>-axis shows the impact score of each pathway. A higher value indicates a greater impact. The <span class="html-italic">y</span>-axis shows the statistical significance of the pathway enrichment, with higher values indicating more significant enrichment. The bubble size represents the number of lipid molecules in each pathway. Colors range from yellow to red, with red indicating a higher significance).</p>
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23 pages, 7924 KiB  
Review
Phytochemicals in Drug Discovery—A Confluence of Tradition and Innovation
by Patience Chihomvu, A. Ganesan, Simon Gibbons, Kevin Woollard and Martin A. Hayes
Int. J. Mol. Sci. 2024, 25(16), 8792; https://doi.org/10.3390/ijms25168792 (registering DOI) - 13 Aug 2024
Viewed by 92
Abstract
Phytochemicals have a long and successful history in drug discovery. With recent advancements in analytical techniques and methodologies, discovering bioactive leads from natural compounds has become easier. Computational techniques like molecular docking, QSAR modelling and machine learning, and network pharmacology are among the [...] Read more.
Phytochemicals have a long and successful history in drug discovery. With recent advancements in analytical techniques and methodologies, discovering bioactive leads from natural compounds has become easier. Computational techniques like molecular docking, QSAR modelling and machine learning, and network pharmacology are among the most promising new tools that allow researchers to make predictions concerning natural products’ potential targets, thereby guiding experimental validation efforts. Additionally, approaches like LC-MS or LC-NMR speed up compound identification by streamlining analytical processes. Integrating structural and computational biology aids in lead identification, thus providing invaluable information to understand how phytochemicals interact with potential targets in the body. An emerging computational approach is machine learning involving QSAR modelling and deep neural networks that interrelate phytochemical properties with diverse physiological activities such as antimicrobial or anticancer effects. Full article
(This article belongs to the Section Molecular Pharmacology)
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Figure 1
<p>Phytochemicals used as drugs. Apomorphine (<b>1</b>), arteether (<b>2</b>) and galantamine (<b>3</b>).</p>
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<p>Synthetic small molecule drugs approved by the FDA in 2023. Bexagliflozin (Brenzavvy<sup>TM</sup>) (<b>4</b>), sotalgliflozin (Inpefa<sup>TM</sup>) (<b>5</b>), zuranolone (Zurzuvae<sup>TM</sup>) (<b>6</b>), and vamorolone (<b>7</b>) (Agamree<sup>TM</sup>).</p>
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<p>Phytochemicals found in Filsuvez<sup>TM</sup> are composed of a mixture of pentacyclic triterpenes betulin (<b>8</b>), lupeol (<b>9</b>), betulinic acid (<b>10</b>), erythrodiol (<b>11</b>), and oleanolic acid (<b>12</b>) [<a href="#B23-ijms-25-08792" class="html-bibr">23</a>].</p>
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<p>The sesquiterpene germacrone (<b>13</b>), synergistic with the antiviral agent oseltamivir.</p>
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<p>Phytochemicals showing anti-HIV potential adapted from [<a href="#B39-ijms-25-08792" class="html-bibr">39</a>]. Created with BioRender.com.</p>
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<p>The co-delivery of phytochemicals in cancer therapy * adapted from [<a href="#B52-ijms-25-08792" class="html-bibr">52</a>], created with BioRender.com.</p>
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<p>Chemical structures of taxane (<b>14</b>), ellipticine (<b>15</b>), camptothecin (<b>16</b>), combretastatin (<b>17</b>), curcumin (<b>18</b>), podophyllotoxin (<b>19</b>), homoharringtonine (<b>20</b>).</p>
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<p>Phytochemicals and their mechanisms of action against drug resistance in microorganisms adapted from [<a href="#B22-ijms-25-08792" class="html-bibr">22</a>,<a href="#B79-ijms-25-08792" class="html-bibr">79</a>]. Created with BioRender.com.</p>
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<p>Sequential Stages in Phytochemical Drug Discovery and Development.</p>
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<p>Chemical structures of liquiritin (<b>21</b>), apigenin (<b>22</b>), quercetin (<b>23</b>), luteolin (<b>24</b>), and neoandrographolide (<b>25</b>).</p>
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<p>Bayogenin (<b>26</b>) asiatic acid (<b>27</b>), and andrographolide (<b>28</b>), potential leads against HK2.</p>
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<p>The phytochemical demethylzeylasteral (<b>29</b>) is a glucocorticoid receptor antagonist.</p>
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15 pages, 3288 KiB  
Article
Computational Study of the Kinetics and Mechanisms of Gas-Phase Decomposition of N-Diacetamides Using Density Functional Theory
by Oswaldo Luis Gabidia Torres, Marcos Loroño, Jose Luis Paz Rojas, Cecilio Julio Alberto Garrido Schaeffer, Thais Cleofe Linares Fuentes and Tania Cecilia Cordova Sintjago
Molecules 2024, 29(16), 3833; https://doi.org/10.3390/molecules29163833 - 13 Aug 2024
Viewed by 152
Abstract
In this research work, we examined the decomposition mechanisms of N-substituted diacetamides. We focused on the substituent effect on the nitrogen lone-pair electron delocalization, with electron-withdrawing and electron donor groups. DFT functionals used the following: B1LYP, B3PW91, CAMB3LYP, LC-BLYP, and X3LYP. Dispersion [...] Read more.
In this research work, we examined the decomposition mechanisms of N-substituted diacetamides. We focused on the substituent effect on the nitrogen lone-pair electron delocalization, with electron-withdrawing and electron donor groups. DFT functionals used the following: B1LYP, B3PW91, CAMB3LYP, LC-BLYP, and X3LYP. Dispersion corrections (d3bj) with Becke–Johnson damping were applied when necessary to improve non-covalent interactions in the transition state. Pople basis sets with higher angular moments and def2-TZVP basis sets were also applied and were crucial for obtaining consistent thermodynamic parameters. The proposed mechanism involves a six-membered transition state with the extraction of an α hydrogen. Several conformers of N-diacetamides were used to account for the decrease in entropy in the transition state in the rate-determining state. All calculations, including natural bond orbital (NBO) analyses, were performed using the Gaussian16 computational package and its GaussView 6.0 visualizer, along with VMD and GNUPLOT software. The isosurfaces and IBSIs were calculated using MultiWFN and IGMPlot, respectively. Full article
(This article belongs to the Special Issue Advances in the Theoretical and Computational Chemistry)
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Graphical abstract

Graphical abstract
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<p>(<b>a</b>) C<sub>2h</sub> and (<b>b</b>) C<sub>s</sub> symmetry structures of diacetamide dimers and HF/6-31G geometry of the hydrogen bonds (bond distances in Å and bond angles in degrees), as shown in reference [<a href="#B5-molecules-29-03833" class="html-bibr">5</a>].</p>
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<p>(<b>A</b>) Methyl groups facing each other (E: −592.407279 ha); (<b>B</b>) head-to-head ketones (E: −592.408915 Ha); (<b>C</b>) ketone–methyl face to face (E: −592.417458 Ha). All calculations were performed with B1LYP/6-31+G(d,p).</p>
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<p>Scanned potential surface of two structures at the B3PW91/6-311+G(3df,2p) level of theory. (<b>A</b>) Reactant; (<b>B</b>) reactant after phenyl rotation.</p>
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<p>Potential energy surface NX(COCH<sub>3</sub>)<sub>2</sub> X = phenyl, with the functional LC-BLYP and def2-TZVP basis set, using the Gaussian16 scan grid option with two dihedral scan coordinates. (SC1: C2-N1-C14-C15 and SC2: C14-N1-C2-C3; see <a href="#molecules-29-03833-f003" class="html-fig">Figure 3</a>A for the atom labels.</p>
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<p>Possible migration of electrons due to the presence of the nitro group in benzene.</p>
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<p>Mayer bond order indexes (<span class="html-italic">y</span>-axis) for the NX(COCH<sub>3</sub>)<sub>2</sub> X=H, phenyl, and Cl at the LC-BLYP/def2-TZVP level of theory from an IRC calculation.</p>
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<p>AL-AWADI proposed a mechanism involving a six-membered transition state (circled). Delocalization of the nitrogen lone pair is shown.</p>
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<p>Compounds studied in this work. R-N–[X=H (<b>A</b>), Phenyl (<b>B</b>), and p-nitro Phenyl (<b>C</b>)].</p>
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<p>Dimer formation [NX(COCH3)<sub>2</sub> X=H (A), phenyl (B)], Cl (C)]<sub>2</sub>.</p>
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<p>Four-member transitional state 1 and formation of an intermediary (<b>A</b>). The intermediate leads to a second transition state 2 of a six-membered ring structure, giving rise to final products.</p>
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<p>Nitrophenyl diacetyl amine until product formation.</p>
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1827 KiB  
Proceeding Paper
Optimization of Extracted Phenolic Compounds from Oregano through Accelerated Solvent Extraction Using Response Surface Methodology
by Christina Panagiotidou, Elisavet Bouloumpasi, Maria Irakli and Paschalina Chatzopoulou
Eng. Proc. 2024, 67(1), 10; https://doi.org/10.3390/engproc2024067010 - 12 Aug 2024
Viewed by 12
Abstract
The current research focuses on the optimization of accelerated solvent extraction, a potential alternative to conventional solvent extraction, for the extraction of phenolics from Greek oregano. The response surface methodology based on central composite design was used to optimize methanol concentration (X1 [...] Read more.
The current research focuses on the optimization of accelerated solvent extraction, a potential alternative to conventional solvent extraction, for the extraction of phenolics from Greek oregano. The response surface methodology based on central composite design was used to optimize methanol concentration (X1, 40–80%), extraction time (X2, 3–9 min, 3 cycles), and extraction temperature (X3, 60–140 °C). Under the optimal extraction conditions (methanol concentration of 74%, extraction time of 9 min, extraction temperature of 140 °C), the experimental values for extraction yield (%), total phenolic (TPC) and flavonoid contents (TFC), and antioxidant capacity matched those predicted, therefore validating the model adequately. The oregano extracts were rich in phenolic compounds, with rosmarinic acid and salvianolic acid B being the most prevalent phenolic components. The results obtained revealed that ASE can be utilized for the extraction of bioactive compounds, and there are advantages to preserving phenolic content if optimization is applied. Full article
(This article belongs to the Proceedings of The 3rd International Electronic Conference on Processes)
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<p>Response surface plots of ASE conditions for extraction yield (<b>a</b>), TPC (<b>b</b>), TFC (<b>c</b>), ABTS (<b>d</b>), and DPPH (<b>e</b>,<b>f</b>) contents of oregano extract, in the function of methanol concentration (% methanol), time of extraction (time), and extraction temperature (temper.). The values of the missing factor were kept at the center point.</p>
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11 pages, 1268 KiB  
Article
Standardization via Post Column Infusion—A Novel and Convenient Quantification Approach for LC-MS/MS
by Katharina Habler, Arber Rexhaj, Felix L. Happich and Michael Vogeser
Molecules 2024, 29(16), 3829; https://doi.org/10.3390/molecules29163829 - 12 Aug 2024
Viewed by 232
Abstract
Mass spectrometry (MS) is a widely used analytical technique including medical diagnostics, forensic toxicology, food and water analysis. The gold standard for quantifying compounds involves using stable isotope-labeled internal standards (SIL-IS). However, when these standards are not commercially available, are prohibitively expensive, or [...] Read more.
Mass spectrometry (MS) is a widely used analytical technique including medical diagnostics, forensic toxicology, food and water analysis. The gold standard for quantifying compounds involves using stable isotope-labeled internal standards (SIL-IS). However, when these standards are not commercially available, are prohibitively expensive, or are extremely difficult to synthesize, alternative external quantification techniques are employed. We hereby present a novel, convenient and cheap quantification approach—quantification via post column infusion (PCI). As a proof of concept, we demonstrated PCI quantification for the immunosuppressant tacrolimus in whole blood using liquid chromatography–tandem mass spectrometry (LC-MS/MS). The validation results met the criteria according to the guideline on bioanalytical method validation of the European Medicine Agency (EMA), achieving imprecisions and inaccuracies with coefficient of variation and relative bias below 15%. Anonymized and leftover whole blood samples from immunosuppressed patients receiving tacrolimus were used for method comparison (PCI quantification vs. conventional internal standard (IS) quantification). Both methods showed strong agreement with a Pearson correlation coefficient of r = 0.9532. This novel PCI quantification technique (using the target analyte itself) expands the quantification options available in MS, providing reliable results, particularly when internal standards are unavailable or unaffordable. With the current paper, we aim to demonstrate that our innovative PCI technique has great potential to overcome practical issues in quantification and to provide guidance on how to incorporate PCI in existing or new LC-MS methods. Moreover, this study demonstrated a more convenient method for correcting matrix effects in comparison to alternative PCI techniques. Full article
(This article belongs to the Special Issue Qualitative and Quantitative Analyses of Food and Drugs)
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<p>Post column infusion (PCI)-LC-MS/MS chromatograms of (<b>A</b>) a blank sample. A continuous baseline signal of the target analyte (here tacrolimus) is generated by PCI of a solution of the target analyte. Two mass transitions traces for the same analyte are acquired in parallel (tacrolimus 821.7000 &gt; 768.7000 in black and tacrolimus-IS 821.7001 &gt; 768.7001 in red). (<b>B</b>) calibrator 3 (11.6 ng/mL) with tacrolimus (black) and tacrolimus-IS (red). The calibrators, quality controls (QCs), and unknown samples are injected into the LC-MS/MS-system, resulting in two (but identical) peak signals for tacrolimus (black) and tacrolimus-IS (red) after chromatographic separation. (<b>C</b>) integration of area tacrolimus (grey), area tacrolimus-IS (red hatched) and area IS (externally infused tacrolimus, light red). Automatic software peak integration is applied for tacrolimus (black), leading to the area tacrolimus (grey area). Manual peak integration for a fixed elution time window (here from 0.9 to 2.0 min) is used for tacrolimus-IS (red), leading to area tacrolimus-IS (red hatched area). The actual area of the internal standard (IS) (light red area) that represents the externally infused tacrolimus is calculated by area tacrolimus-IS (red hatched area)—area tacrolimus (grey area).</p>
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<p>Post column infusion (PCI)-LC-MS/MS chromatograms of (<b>A</b>) a blank sample. A continuous baseline signal of the target analyte (here tacrolimus) is generated by PCI of a solution of the target analyte. Two mass transitions traces for the same analyte are acquired in parallel (tacrolimus 821.7000 &gt; 768.7000 in black and tacrolimus-IS 821.7001 &gt; 768.7001 in red). (<b>B</b>) calibrator 3 (11.6 ng/mL) with tacrolimus (black) and tacrolimus-IS (red). The calibrators, quality controls (QCs), and unknown samples are injected into the LC-MS/MS-system, resulting in two (but identical) peak signals for tacrolimus (black) and tacrolimus-IS (red) after chromatographic separation. (<b>C</b>) integration of area tacrolimus (grey), area tacrolimus-IS (red hatched) and area IS (externally infused tacrolimus, light red). Automatic software peak integration is applied for tacrolimus (black), leading to the area tacrolimus (grey area). Manual peak integration for a fixed elution time window (here from 0.9 to 2.0 min) is used for tacrolimus-IS (red), leading to area tacrolimus-IS (red hatched area). The actual area of the internal standard (IS) (light red area) that represents the externally infused tacrolimus is calculated by area tacrolimus-IS (red hatched area)—area tacrolimus (grey area).</p>
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<p>Calibration curve with 6 calibration points (squares): response (area tacrolimus (grey)/area IS (externally infused tacrolimus, light red)) is plotted against concentration of tacrolimus.</p>
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<p>Method comparison of tacrolimus levels (<span class="html-italic">n</span> = 50) quantified by PCI of tacrolimus versus ascomycin as IS.</p>
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17 pages, 1746 KiB  
Article
Assessment of Dried Serum Spots (DSS) and Volumetric-Absorptive Microsampling (VAMS) Techniques in Therapeutic Drug Monitoring of (Val)Ganciclovir—Comparative Study in Analytical and Clinical Practice
by Arkadiusz Kocur, Agnieszka Czajkowska, Mateusz Moczulski, Bartłomiej Kot, Jacek Rubik and Tomasz Pawiński
Int. J. Mol. Sci. 2024, 25(16), 8760; https://doi.org/10.3390/ijms25168760 (registering DOI) - 12 Aug 2024
Viewed by 200
Abstract
Ganciclovir (GCV) and its prodrug valganciclovir (VGCV) are antiviral medications primarily used to treat infections caused by cytomegalovirus (CMV), particularly in immunocompromised individuals such as solid organ transplant (SOT) recipients. Therapy with GCV is associated with significant side effects, including bone marrow suppression. [...] Read more.
Ganciclovir (GCV) and its prodrug valganciclovir (VGCV) are antiviral medications primarily used to treat infections caused by cytomegalovirus (CMV), particularly in immunocompromised individuals such as solid organ transplant (SOT) recipients. Therapy with GCV is associated with significant side effects, including bone marrow suppression. Therefore, therapeutic drug monitoring (TDM) is mandatory for an appropriate balance between subtherapeutic and toxic drug levels. This study aimed to develop and validate three novel methods based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) for GCV determination in serum (reference methodology), dried serum spots (DSS), and VAMS-Mitra™ devices. The methods were optimized and validated in the 0.1–25 mg/L calibration range. The obtained results fulfilled the EMA acceptance criteria for bioanalytical method validation. Assessment of DSS and VAMS techniques extended GCV stability to serum for up to a minimum of 49 days (at room temperature, with desiccant). Developed methods were effectively evaluated using 80 clinical serum samples from pediatric renal transplant recipients. Obtained samples were used for DSS, and dried serum VAMS samples were manually generated in the laboratory. The results of GCV determination using serum-, DSS- and VAMS-LC-MS/MS methods were compared using regression analysis and bias evaluation. The conducted statistical analysis confirmed the interchangeability between developed assays. The DSS and VAMS samples are more accessible and stable during storage, transport and shipment than classic serum samples. Full article
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<p>Molecular mechanisms of (val)ganciclovir action in CMV-infected cells. Mutations in UL97 and UL54 are responsible for GCV resistance. GCV—ganciclovir, VGCV—valganciclovir, GUK1—guanylate kinase 1, NUDT15—nudix hydrolase 15, dNTP—deoxynucleotide triphosphate. Created using bioRender.com (accessed on 8 August 2024).</p>
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<p>Representative chromatograms of GCV (retention time = 0.63 min): (<b>a</b>) blank sample; (<b>b</b>) serum patient sample—8.66 mg/L GCV concentration; (<b>c</b>) dried serum spot patient sample—8.81 mg/L GCV concentration; (<b>d</b>) s-VAMS patient sample—8.33 mg/L GCV concentration.</p>
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<p>Results of GCV determination using chromatographic methods expressed as bar/dotted graph with whiskers. Methods are marked as follows: red dots (serum-LC-MS/MS with GCV-d<sub>5</sub> as internal standard), pink dots (serum-LC-MS/MS with ACV as internal standard), green dots (dried serum spots, DSS-LC-MS/MS with ACV as internal standard), blue dots (dried serum in VAMS-LC-MS/MS with ACV as internal standard), green dots (serum-HPLC/UV with AVC as internal standard). GCV—ganciclovir.</p>
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13 pages, 5367 KiB  
Article
Phytochemical Composition and Toxicological Screening of Anise Myrtle and Lemon Myrtle Using Zebrafish Larvae
by Paolin Rocio Cáceres-Vélez, Akhtar Ali, Alexandre Fournier-Level, Frank R. Dunshea and Patricia Regina Jusuf
Antioxidants 2024, 13(8), 977; https://doi.org/10.3390/antiox13080977 (registering DOI) - 12 Aug 2024
Viewed by 217
Abstract
Plants are an immense source of drugs, and 50% of modern pharmacopeia has a plant origin. With increasing life expectancy in humans, many age-related degenerative diseases converge on oxidative cellular stress pathways. This provides an opportunity to develop broad treatments by targeting the [...] Read more.
Plants are an immense source of drugs, and 50% of modern pharmacopeia has a plant origin. With increasing life expectancy in humans, many age-related degenerative diseases converge on oxidative cellular stress pathways. This provides an opportunity to develop broad treatments by targeting the cause of common pathologic cell degeneration. Toxicological effects can be readily assessed in a live animal model system to establish potential fauna for clinical use. Here, we characterized and evaluated the antioxidant potential and toxicological effects of anise myrtle (Syzygium anisatum) and lemon myrtle (Backhousia citriodora) leaves. Using zebrafish larvae, a model for high-throughput pre-clinical in vivo toxicology screening, we identified safe levels of extract exposures for development of future therapeutics. The antioxidant capacity and toxicity were very similar in these two myrtles. The LC50-96h for anise myrtle was 284 mg/L, and for lemon myrtle, it was 270 mg/L. These measurements are comparable to ongoing studies we are performing using the same criteria in zebrafish, which allow for robust testing and prioritization of natural fauna for drug development. Full article
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<p>Alterations were observed in zebrafish embryos exposed to anise myrtle (<b>A</b>,<b>C</b>) and lemon myrtle (<b>B,D</b>) extract for 96 h. Heatmap showing the cumulative morbidity and phenotypic and behavioural alterations (<b>A</b>,<b>B</b>). Hatching delay occurred at higher concentrations for both plant extracts, with other mild alterations. The proportion of total mortality observed each experimental day at different concentrations (<b>C</b>,<b>D</b>). Colours represent the experimental time in hours (24–96 h). Most of the mortality occurred in the first 24 h, though continued exposure to lemon myrtle showed ongoing mortality continuing by subsequent days.</p>
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<p>Morphological alterations were observed in zebrafish embryos exposed to anise (<b>A</b>) and lemon (<b>B</b>) myrtle extract for 96 h and graphed as a percentage of all larvae. The colours represent different concentrations tested (mg/L). Data show the mean ± SD, <span class="html-italic">n</span> = 60. Asterisks indicate statistical significance when compared to a control group (0 mg/L): <span class="html-italic">p</span> &lt; 0.05 (*) and <span class="html-italic">p</span> &lt; 0.001 (***).</p>
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<p>Developmental alterations (<b>A</b>,<b>C</b>) and malformations (<b>B</b>,<b>D</b>) were observed in zebrafish larvae exposed at 96 h post-fertilization to different concentrations of anise (<b>A</b>,<b>B</b>) and lemon (<b>C</b>,<b>D</b>) myrtle extract. The alterations observed were pigmentation delay (Pig. D), developmental delay (Dev. D), yolk sac absorption delay (Yolk Sac AD), yolk sac edema (Yolk Sac E), and cardiac edema (Cardiac E). The malformations observed were localized in the head, eyes, spine, and tail. None of the alternations observed in anise myrtle were significantly different from the control 0 mg/L group. In contrast, in Lemon myrtle, there were substantial alterations and malformations at 240 mg/L. The 480 mg/L group only includes very few survivors. Bar colours represent the concentrations tested in mg/L. Data represent the mean ± SD, <span class="html-italic">n</span> = 60. Asterisks indicate statistical significance when comparing the exposed groups with the control groups: <span class="html-italic">p</span> &lt; 0.05 (*) and <span class="html-italic">p</span> &lt; 0.001 (***).</p>
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28 pages, 1604 KiB  
Review
The Metabolomic Footprint of Liver Fibrosis
by Diren Beyoğlu, Yury V. Popov and Jeffrey R. Idle
Cells 2024, 13(16), 1333; https://doi.org/10.3390/cells13161333 - 11 Aug 2024
Viewed by 589
Abstract
Both experimental and clinical liver fibrosis leave a metabolic footprint that can be uncovered and defined using metabolomic approaches. Metabolomics combines pattern recognition algorithms with analytical chemistry, in particular, 1H and 13C nuclear magnetic resonance spectroscopy (NMR), gas chromatography–mass spectrometry (GC–MS) [...] Read more.
Both experimental and clinical liver fibrosis leave a metabolic footprint that can be uncovered and defined using metabolomic approaches. Metabolomics combines pattern recognition algorithms with analytical chemistry, in particular, 1H and 13C nuclear magnetic resonance spectroscopy (NMR), gas chromatography–mass spectrometry (GC–MS) and various liquid chromatography–mass spectrometry (LC–MS) platforms. The analysis of liver fibrosis by each of these methodologies is reviewed separately. Surprisingly, there was little general agreement between studies within each of these three groups and also between groups. The metabolomic footprint determined by NMR (two or more hits between studies) comprised elevated lactate, acetate, choline, 3-hydroxybutyrate, glucose, histidine, methionine, glutamine, phenylalanine, tyrosine and citrate. For GC–MS, succinate, fumarate, malate, ascorbate, glutamate, glycine, serine and, in agreement with NMR, glutamine, phenylalanine, tyrosine and citrate were delineated. For LC–MS, only β-muricholic acid, tryptophan, acylcarnitine, p-cresol, valine and, in agreement with NMR, phosphocholine were identified. The metabolomic footprint of liver fibrosis was upregulated as regards glutamine, phenylalanine, tyrosine, citrate and phosphocholine. Several investigators employed traditional Chinese medicine (TCM) treatments to reverse experimental liver fibrosis, and a commentary is given on the chemical constituents that may possess fibrolytic activity. It is proposed that molecular docking procedures using these TCM constituents may lead to novel therapies for liver fibrosis affecting at least one-in-twenty persons globally, for which there is currently no pharmaceutical cure. This in-depth review summarizes the relevant literature on metabolomics and its implications in addressing the clinical problem of liver fibrosis, cirrhosis and its sequelae. Full article
(This article belongs to the Section Cellular Metabolism)
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<p>The de novo synthesis of ascorbic acid showing potential enzymes involved whose mRNA expression was determined using quantitative RT-PCR. Intermediates are G-6-P, glucose 6-phosphate; F-6-P, fructose 6-phosphate; G-1-P, glucose 1-phosphate; UDPG, uridine diphosphate glucose; UDPGA, uridine diphosphate glucuronic acid. The enzymes are GCK, glucokinase (HK4; EC 2.7.1.1); ADPGK, ADP-dependent glucokinase (EC 2.7.1.147); HK1, hexokinase 1 (EC 2.7.1.1); HK2, hexokinase 2 (EC 2.7.1.1); GPI, glucose 6-phosphate isomerase (EC 5.3.1.9); PGM1, phosphoglucomutase 1 (EC 5.4.2.2); UGP2, UDP-glucose pyrophosphorylase 2 (EC 2.7.7.9); UGDH, UDP glucose 6-dehydrogenase (EC 1.1.1.22); UGT1A1, UDP glucuronosyltransferase family 1 member A1 (EC 2.4.1.17); AKR1A4, aldo-keto reductase family 1, member A1 (aldehyde reductase; EC 1.1.1.2); AKR1B3, aldo-keto reductase family 1, member B3 (aldose reductase; EC 1.1.1.21); RGN, regucalcin (gluconolactonase; EC 3.1.1.17); GULO, gulonolactone oxidase (EC 1.1.3.8). Adapted from [<a href="#B164-cells-13-01333" class="html-bibr">164</a>] with permission.</p>
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<p>The treatments or the chemical constituents contained therein for experimental fibrosis in rodents. Picroside I [<a href="#B166-cells-13-01333" class="html-bibr">166</a>] and (–)-phylligenin [<a href="#B167-cells-13-01333" class="html-bibr">167</a>] were administered as such. Berberine is one of the isoquinoline alkaloids present in <span class="html-italic">Corydalis saxicola</span> Bunting [<a href="#B168-cells-13-01333" class="html-bibr">168</a>]. The ecdysone insect molting hormones are likely significant constituents of the ethanol extract of <span class="html-italic">Periplanata americana</span> (American cockroach) that comprises Ganlong capsules [<a href="#B169-cells-13-01333" class="html-bibr">169</a>]. Gypenoside XVII is a saponin extract derived from <span class="html-italic">Gynostemma pentaphyllum</span> [<a href="#B135-cells-13-01333" class="html-bibr">135</a>,<a href="#B141-cells-13-01333" class="html-bibr">141</a>]. Amarogentin is a secoiridoid glycoside from gentian root [<a href="#B138-cells-13-01333" class="html-bibr">138</a>]. Herbarulide and dankasterone A are from the popular edible fungus <span class="html-italic">Flammulina velutipes</span> [<a href="#B136-cells-13-01333" class="html-bibr">136</a>]. Forsythin and forsythiaside A are from Forsythiae fructus [<a href="#B137-cells-13-01333" class="html-bibr">137</a>].</p>
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<p>Venn diagram showing the upregulated metabolites in mouse, rat and human serum, urine, liver and feces discovered by NMR, GC–MS and LC–MS. Metabolites were included in each section if they had been reported in two or more studies. Note that no metabolites were discovered universally by all three analytical platforms or in common by GC–MS and LC–MS.</p>
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12 pages, 468 KiB  
Article
Effect of Adding the Antimicrobial L-Carnitine to Growing Rabbits’ Drinking Water on Growth Efficiency, Hematological, Biochemical, and Carcass Aspects
by Mohamed I. Hassan, Naela Abdel-Monem, Ayman Moawed Khalifah, Saber S. Hassan, Hossam Shahba, Ahmad R. Alhimaidi, In Ho Kim and Hossam M. El-Tahan
Antibiotics 2024, 13(8), 757; https://doi.org/10.3390/antibiotics13080757 (registering DOI) - 11 Aug 2024
Viewed by 280
Abstract
The current study was designed to assess the impact of L-carnitine (LC) supplementation in the drinking water of growing Alexandria-line rabbits on performance and physiological parameters. Two hundred eighty-eight 35-day-old rabbits were divided into four groups of twenty-four replicates each (seventy-two rabbits/treatment). The [...] Read more.
The current study was designed to assess the impact of L-carnitine (LC) supplementation in the drinking water of growing Alexandria-line rabbits on performance and physiological parameters. Two hundred eighty-eight 35-day-old rabbits were divided into four groups of twenty-four replicates each (seventy-two rabbits/treatment). The treatment groups were a control group without LC and three groups receiving 0.5, 1, and 1.5 g/L LC in the drinking water intermittently. The results showed that the group receiving 0.5 g LC/L exhibited significant improvements in final body weight, body weight gain, feed conversion ratio, and performance index compared to the other groups. The feed intake remained unaffected except for the 1.5 g LC/L group, which had significantly decreased intake. Hematological parameters improved in all supplemented groups. Compared with those in the control group, the 0.5 g LC/L group showed significant increases in serum total protein and high-density lipoprotein, along with decreased cholesterol and low-density lipoprotein. Compared to other supplemented groups, this group also demonstrated superior carcass traits (carcass, dressing, giblets, and percentage of nonedible parts). In conclusion, intermittent supplementation of LC in the drinking water, particularly at 0.5 g/L twice a week, positively influenced the productivity, hematology, serum lipid profile, and carcass traits of Alexandria-line growing rabbits at 84 days of age. Full article
(This article belongs to the Special Issue Natural Compounds as Antimicrobial Agents, 2nd Edition)
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