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22 pages, 5811 KiB  
Article
Comparison of the Stability of a Camu Camu Extract Dried and Encapsulated by Means of High-Throughput Electrospraying Assisted by Pressurized Gas
by Juan David Escobar-García, Cristina Prieto, Emma Talon and Jose M. Lagaron
Foods 2024, 13(20), 3280; https://doi.org/10.3390/foods13203280 - 16 Oct 2024
Viewed by 338
Abstract
This study explores the impact on the stability of drying and the encapsulation of a camu camu extract (CCX) using the non-thermal, high-throughput electrospraying assisted by pressurized gas (EAPG) technique. The dried and encapsulated products by the EAPG processing techniques were compared in [...] Read more.
This study explores the impact on the stability of drying and the encapsulation of a camu camu extract (CCX) using the non-thermal, high-throughput electrospraying assisted by pressurized gas (EAPG) technique. The dried and encapsulated products by the EAPG processing techniques were compared in terms of total soluble phenolic compounds, antioxidant activity, and storage stability. Whey protein concentrate (WPC) and zein (ZN) were selected as the protective excipients for encapsulation. Dried and encapsulated products were obtained in the form of microparticles, which were smaller and more spherical in the case of the encapsulates. No significant differences were observed in the total polyphenolic content (TSP), and only relatively small differences in the antioxidant capacity were measured among samples. The generated products were subjected to various storage conditions to assess their stability and the preservation of the TSP and the antioxidant properties, i.e., 0% relative humidity (RH) and 4 °C; 0% RH and 21 °C; 23% RH and 21 °C; 56% RH and 21 °C; and UV light exposure. The results indicated that ZN encapsulation notably enhanced the retention of total soluble polyphenols and the antioxidant activity compared to WPC and dried CCX, especially in the ratio of 2:1 (encapsulating polymer: dried CCX). This study demonstrates the potential of protein-based encapsulation, particularly using ZN, for stabilizing bioactive compounds against degradation mechanisms induced by humidity, temperature, or ultraviolet radiation exposure. Full article
(This article belongs to the Special Issue Encapsulation-Based Technologies for Bioactive Compounds in Foods)
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Figure 1

Figure 1
<p>SEM micrographs of dried CCX structures. (<b>A</b>) The neat CCX dried using the EAPG process. (<b>B</b>) WPC-CCX 1:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>; (<b>C</b>) WPC-CCX 2:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>; (<b>D</b>) ZN-CCX 1:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>; (<b>E</b>) ZN-CCX 2:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>. The scale bar corresponds to 30 µm.</p>
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<p>Histograms of dried CCX structures. (<b>A</b>) The neat CCX dried using the EAPG process. (<b>B</b>) WPC-CCX 1:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>; (<b>C</b>) WPC-CCX 2:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>; (<b>D</b>) ZN-CCX 1:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>; (<b>E</b>) ZN-CCX 2:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>.</p>
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<p>Evolution of the TSP decay of CCX EAPG-derived microcapsules over 40 days under diverse storage conditions. (<b>A</b>) EAPG-dried CCX; (<b>B</b>) WPC-CCX 1:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>; (<b>C</b>) WPC-CCX 2:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>; (<b>D</b>) ZN-CCX 1:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>; (<b>E</b>) ZN-CCX 2:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>.</p>
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<p>Evolution of the DPPH inhibition decay of CCX EAPG-derived microcapsules over 40 days under diverse storage conditions. (<b>A</b>) Non-encapsulated CCX; (<b>B</b>) WPC-CCX 1:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>; (<b>C</b>) WPC-CCX 2:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>; (<b>D</b>) ZN-CCX 1:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>; (<b>E</b>) ZN-CCX 2:1 <span class="html-italic">w</span>/<span class="html-italic">w</span>.</p>
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<p>Attenuated total reflection–Fourier transform infrared spectroscopy (ATR-FTIR) of EAPG-dried CCX.</p>
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<p>Spectral evolution of attenuated total reflection–Fourier transform infrared spectroscopy (ATR-FTIR) for the EAPG-dried CCX stored under various conditions: (<b>A</b>) 0 days; (<b>B</b>) 40 days, 0% RH, 4 °C; (<b>C</b>) 40 days, 0% RH, 21 °C; (<b>D</b>) 40 days, 23% RH, 21 °C; (<b>E</b>) 40 days, 56% RH, 21 °C; (<b>F</b>) 40 days, UV light exposure. The spectra were maximized to the band with the highest intensity in the wavenumber range between 1800 and 800 cm<sup>−1</sup>.</p>
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<p>Spectral evolution of attenuated total reflection–Fourier transform infrared spectroscopy (ATR-FTIR) for WPC-CCX 1:1 <span class="html-italic">w</span>/<span class="html-italic">w</span> EAPG-derived microcapsules stored under various conditions: (<b>A</b>) 0 days; (<b>B</b>) 40 days, 0% RH, 4 °C; (<b>C</b>) 40 days, 0% RH, 21 °C; (<b>D</b>) 40 days, 23% RH, 21 °C; (<b>E</b>) 40 days, 56% RH, 21 °C; (<b>F</b>) 40 days, UV light exposure. The spectra were maximized to the band with the highest intensity in the wavenumber range between 1800 and 800 cm<sup>−1</sup>.</p>
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<p>Spectral evolution of attenuated total reflection–Fourier transform infrared spectroscopy (ATR-FTIR) for WPC-CCX 2:1 <span class="html-italic">w</span>/<span class="html-italic">w</span> EAPG-derived microcapsules stored under various conditions: (<b>A</b>) 0 days; (<b>B</b>) 40 days, 0% RH, 4 °C; (<b>C</b>) 40 days, 0% RH, 21 °C; (<b>D</b>) 40 days, 23% RH, 21 °C; (<b>E</b>) 40 days, 56% RH, 21 °C; (<b>F</b>) 40 days, UV light exposure. The spectra were maximized to the band with the highest intensity in the wavenumber range between 1800 and 800 cm<sup>−1</sup>.</p>
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<p>Spectral evolution of attenuated total reflection–Fourier transform infrared spectroscopy (ATR-FTIR) for ZN-CCX 1:1 <span class="html-italic">w</span>/<span class="html-italic">w</span> EAPG-derived microcapsules stored under various conditions: (<b>A</b>) 0 days; (<b>B</b>) 40 days, 0% RH, 4 °C; (<b>C</b>) 40 days, 0% RH, 21 °C; (<b>D</b>) 40 days, 23% RH, 21 °C; (<b>E</b>) 40 days, 56% RH, 21 °C; (<b>F</b>) 40 days, UV light exposure. The spectra were maximized to the band with the highest intensity in the wavenumber range between 1800 and 800 cm<sup>−1</sup>.</p>
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<p>Spectral evolution of attenuated total reflection–Fourier transform infrared spectroscopy (ATR-FTIR) for ZN-CCX 2:1 <span class="html-italic">w</span>/<span class="html-italic">w</span> EAPG-derived microcapsules stored under various conditions: (<b>A</b>) 0 days; (<b>B</b>) 40 days, 0% RH, 4 °C; (<b>C</b>) 40 days, 0% RH, 21 °C; (<b>D</b>) 40 days, 23% RH, 21 °C; (<b>E</b>) 40 days, 56% RH, 21 °C; (<b>F</b>) 40 days, UV light exposure. The spectra were maximized to the band with the highest intensity in the wavenumber range between 1800 and 800 cm<sup>−1</sup>.</p>
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14 pages, 1015 KiB  
Article
Examining the Role of Local Government’s Financial Performance and Capital Expenditure in Increasing Economic Growth in Banten Province, Indonesia (2018–2022)
by Mohamad Harry Mulya Zein, Muhtarom Muhtarom, Mulyadi Mulyadi and Sisca Septiani
J. Risk Financial Manag. 2024, 17(10), 456; https://doi.org/10.3390/jrfm17100456 - 8 Oct 2024
Viewed by 343
Abstract
This study aims to analyse how financial ratios such as the independence ratio, effectiveness ratio, efficiency ratio, fiscal decentralisation ratio, dependency ratio, and compatibility ratio affect economic growth, directly or indirectly, through capital expenditure as a mediating factor. This research used a quantitative [...] Read more.
This study aims to analyse how financial ratios such as the independence ratio, effectiveness ratio, efficiency ratio, fiscal decentralisation ratio, dependency ratio, and compatibility ratio affect economic growth, directly or indirectly, through capital expenditure as a mediating factor. This research used a quantitative approach; purposive sampling was conducted, and path analysis was applied to explore the relationships between variables. The results show that self-reliance, effectiveness, efficiency, fiscal decentralisation, dependency, and capital expenditure significantly affect economic growth. The independence and effectiveness ratios have a positive impact, indicating that improvements in these variables directly foster economic growth. However, the efficiency and fiscal decentralisation ratios have a negative effect, suggesting that increases in these variables may reduce economic growth. Indirectly, through capital expenditure, the independence, effectiveness, dependency, and compatibility ratios significantly affect economic growth, with the independence ratio being the most dominant. Conversely, the fiscal decentralisation and efficiency ratios did not show significant indirect effects, indicating that capital expenditure is not an effective mediator for these variables. These findings provide insights into how local financial management strategies can influence regional development, offering key policy recommendations for Banten’s local government. Full article
(This article belongs to the Section Economics and Finance)
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<p>Conceptual model.</p>
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<p>Testing results of sub-structure 1.</p>
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<p>Path analysis.</p>
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18 pages, 6213 KiB  
Article
Preparation and Characterization Study of Zein–Sodium Caseinate Nanoparticle Delivery Systems Loaded with Allicin
by Ling Hu, Pengcheng Zhao, Yabo Wei, Yongdong Lei, Xin Guo, Xiaorong Deng and Jian Zhang
Foods 2024, 13(19), 3111; https://doi.org/10.3390/foods13193111 - 28 Sep 2024
Viewed by 677
Abstract
Allicin, as a natural antibacterial active substance from plants, has great medical and health care value. However, due to its poor stability, its application in the field of food and medicine is limited. So, in this paper, allicin–zein–sodium caseinate composite nanoparticles (zein–Ali–SC) were [...] Read more.
Allicin, as a natural antibacterial active substance from plants, has great medical and health care value. However, due to its poor stability, its application in the field of food and medicine is limited. So, in this paper, allicin–zein–sodium caseinate composite nanoparticles (zein–Ali–SC) were prepared by antisolvent precipitation and electrostatic deposition. Through the analysis of the particle size, ζ-potential, encapsulation efficiency (EE), loading rate (LC) and microstructure, the optimum preparation conditions for composite nanoparticles were obtained. The mechanism of its formation was studied by fluorescence spectrum, Fourier infrared spectrum (FTIR), X-ray diffraction (XRD) and thermogravimetric analysis (TGA). The stability study results showed that the particle size of composite nanoparticles was less than 200 nm and its PDI was less than 0.3 under different NaCl concentrations and heating conditions, showing good stability. When stored at 4 °C for 21 days, the retention rate of allicin reached 61.67%, which was 52.9% higher than that of free allicin. After freeze-drying and reheating, the nanoparticles showed good redispersibility; meanwhile, antioxidant experiments showed that, compared with free allicin, the nanoparticles had stronger scavenging ability of free radicals, which provided a new idea for improving the stability technology and bioavailability of bioactive compounds. Full article
(This article belongs to the Section Food Security and Sustainability)
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<p>Molecular docking of allicin and zein.</p>
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<p>Changes in appearance (<b>A</b>), particle size, and PDI (<b>B</b>) of composite nanoparticles under different amounts of sodium caseinate addition. different lowercase letters denote significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Microscopic morphology of nanoparticles: (<b>a</b>) zein, (<b>b</b>) zein–Ali, (<b>c</b>) zein–SC, (<b>d</b>) zein–Ali–SC.</p>
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<p>Fluorescence spectrum analysis of zein–Ali–SC with different sodium caseinate addition levels.</p>
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<p>FTIR spectra of different components and nanoparticles.</p>
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<p>XRD analysis diagram.</p>
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<p>(<b>A</b>) TGA curve diagram; (<b>B</b>) DTG curve diagram.</p>
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<p>Changes in appearance, particle size and PDI of composite nanoparticles at different pH levels. different lowercase letters denote significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Changes in appearance, particle size and PDI of composite nanoparticles at different concentrations of sodium chloride. different lowercase letters denote significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Changes in particle size, PDI and ζ-potential of composite nanoparticles under different heating times.</p>
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<p>Changes of allicin content under different storage times.</p>
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<p>Particle size changes of freshly prepared composite nanoparticle dispersion and freeze-dried sample before and after heating.</p>
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<p>Scavenging activity of DPPH and ABTS free radicals.</p>
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16 pages, 954 KiB  
Review
Culture-Negative Native Vertebral Osteomyelitis: A Narrative Review of an Underdescribed Condition
by Seyed Mohammad Amin Alavi, Francesco Petri, Omar K. Mahmoud, Rita Igwilo-Alaneme, Said El Zein, Ahmad N. Nassr, Andrea Gori and Elie F. Berbari
J. Clin. Med. 2024, 13(19), 5802; https://doi.org/10.3390/jcm13195802 - 28 Sep 2024
Viewed by 894
Abstract
The incidence of culture-negative NVO (CN-NVO) cases is increasing, presenting significant diagnostic and therapeutic challenges due to the inability to isolate causative organisms with conventional microbiological methods. Factors influencing the diagnosis of CN-NVO include prior antimicrobial therapy, low pathogen burden, fastidious or intracellular [...] Read more.
The incidence of culture-negative NVO (CN-NVO) cases is increasing, presenting significant diagnostic and therapeutic challenges due to the inability to isolate causative organisms with conventional microbiological methods. Factors influencing the diagnosis of CN-NVO include prior antimicrobial therapy, low pathogen burden, fastidious or intracellular organisms, technical issues, and non-infectious mimickers. Diagnosis often relies on imaging modalities like magnetic resonance imaging (MRI) and computed tomography (CT)-guided biopsy, though these methods can sometimes fail to yield positive microbiological results. Advanced diagnostic tools, such as polymerase chain reaction (PCR), metagenomic next-generation sequencing (mNGS), and cell-free DNA analysis, may be necessary to identify the pathogen. The causative pathogen cannot be isolated in some patients, among which an empirical antimicrobial therapy should be initiated. This narrative review discusses the management, monitoring, surgical indications, and outcomes for patients with CN-NVO. Full article
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<p>The approach for diagnosis of native vertebral osteomyelitis.</p>
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<p>The approach of surgical intervention for the management of culture-negative vertebral osteomyelitis (CN-NVO).</p>
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23 pages, 16625 KiB  
Article
Microcapsule Preparation and Properties of Flavonoid Extract from Immature Citrus reticulata ‘Chachiensis’ Peel
by Xinyi Zhang, Qili Li, Sisi Wu, Yan Liu, Jiaxu Chen, Tao Li and Donglin Su
Foods 2024, 13(19), 3096; https://doi.org/10.3390/foods13193096 - 27 Sep 2024
Viewed by 683
Abstract
Citrus reticulata ‘Chachiensis’ is a citrus cultivar in the Rutaceae family, and its peel is commonly utilized as a raw material for Guangchenpi. This study used flavonoid extract from the peel of immature Citrus reticulata ‘Chachiensis’ (CCE) as the raw material to investigate [...] Read more.
Citrus reticulata ‘Chachiensis’ is a citrus cultivar in the Rutaceae family, and its peel is commonly utilized as a raw material for Guangchenpi. This study used flavonoid extract from the peel of immature Citrus reticulata ‘Chachiensis’ (CCE) as the raw material to investigate the encapsulation ability of different wall materials (plant-based proteins, including soybean protein isolation (SPI), pea protein (PP), and zein; carbohydrates, including maltodextrin (MD), Momordica charantia polysaccharide (MCP), and gum acacia (GA); and composite wall materials of both types) on CCE. The wall material with the highest encapsulation rate was selected for the preparation of CCE microcapsules. Furthermore, the physicochemical characteristics, antioxidant capacity, bioavailability, and storage stability of the CCE microcapsules were explored. The results indicated that among all wall materials, the composite wall material PPMD had the highest encapsulation rate, which was 84.44 ± 0.34%. After encapsulation, the microcapsules tended to have a yellow color and exhibited characteristics such as system stability, low moisture content, and low hygroscopicity. In vitro antioxidant assays revealed that the encapsulation of CCE significantly increased the scavenging rates of DPPH and ABTS free radicals. In vitro gastrointestinal digestion experiments indicated that the release rate of PPMD-CCE in intestinal fluid was significantly greater than that of free CCE, ultimately reaching 85.89 ± 1.53%. Storage experiments demonstrated that after 45 days under various temperature and light conditions, the retention rate of CCE in the microcapsules was significantly greater than that of free CCE. The above findings provide new possibilities for the application of PP and plant proteins and lay a foundation for the future industrial application of CCE. Full article
(This article belongs to the Section Food Engineering and Technology)
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Graphical abstract
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<p>Flowchart of preparation of CCE microcapsules.</p>
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<p>Positive and negative ion mode detection using UHPLC-OE-MS TIC chart for the CCE example ion modes: (<b>A</b>) positive; (<b>B</b>) negative.</p>
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<p>(<b>A</b>) EE of CCE microcapsules prepared by different wall materials. (<b>B</b>) The percentage increase in EE was compared between the best EE and the CCE microcapsules prepared with other wall materials. Superscript letters (a–l) denote significant (<span class="html-italic">p</span> &lt; 0.05) difference in the same column.</p>
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<p>Optimization of preparation technology of PPMD-CCE: (<b>A</b>–<b>D</b>) single factor experiment; (<b>E</b>–<b>J</b>) the optimization of response surface methodology. Different superscript letters in the graph indicate significant differences between means (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>SEM image: (<b>A</b>) CCE; (<b>B</b>) PP; (<b>C</b>) MD; (<b>D</b>) PP-CCE; (<b>E</b>) MD-CCE; (<b>F</b>) PPMD-CCE.</p>
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<p>Characterization of CCE and CCE microcapsules: (<b>A</b>–<b>F</b>) FTIR spectra of CCE, PP, MD, PP-CCE, MD-CCE, PPMD-CCE; (<b>G</b>) XRD spectra of CCE, PP, MD, PP-CCE, MD-CCE, PPMD-CCE; (<b>H</b>) DSC analysis of CCE, PP, MD, PP-CCE, MD-CCE, PPMD-CCE.</p>
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<p>Antioxidant activities of CCE, PP-CCE, MD-CCE, PPMD-CCE. (<b>A</b>) DPPH radical scavenging activity; (<b>B</b>) ABTS radical scavenging activity.</p>
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<p>In vitro release profile of CCE, PP-CCE, MD-CCE, PPMD-CCE: (<b>A</b>) cumulative release; (<b>B</b>) the relative release rate of CCE.</p>
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<p>Retention rate of CCE stored under different conditions for 45 days: (<b>A</b>) storage at 4 °C; (<b>B</b>) storage at 20 °C; (<b>C</b>) storage at 55 °C; (<b>D</b>) storage avoiding light; (<b>E</b>) storage under natural light.</p>
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31 pages, 2280 KiB  
Review
Bioactive Peptides from Corn (Zea mays L.) with the Potential to Decrease the Risk of Developing Non-Communicable Chronic Diseases: In Silico Evaluation
by Caroline Cagnin, Bianca de Fátima Garcia, Thais de Souza Rocha and Sandra Helena Prudencio
Biology 2024, 13(10), 772; https://doi.org/10.3390/biology13100772 - 27 Sep 2024
Viewed by 581
Abstract
Studies have shown that corn (Zea mays L.) proteins, mainly α-zein, have the potential to act on therapeutic targets related to non-communicable chronic diseases, such as high blood pressure and type 2 diabetes. Enzymatic hydrolysis of proteins present in foods can result [...] Read more.
Studies have shown that corn (Zea mays L.) proteins, mainly α-zein, have the potential to act on therapeutic targets related to non-communicable chronic diseases, such as high blood pressure and type 2 diabetes. Enzymatic hydrolysis of proteins present in foods can result in a great diversity of peptides with different structures and possible bioactivities. A review of recent scientific research papers was performed to show evidence of the bioactive properties of corn peptides by in vitro assays. The α-zein amino acid sequences were identified in the UniProtKB protein database and then analyzed in the BIOPEP database to simulate enzymatic digestion and verify the potential biological action of the resulting peptides. The peptides found in the BIOPEP database were categorized according to the probability of presenting biological action using the PeptideRanker database. The aim was to use existing data to identify in silico the potential for obtaining biologically active peptides from α-zein, the main storage protein of corn. The analysis showed that the majority of peptide fragments were related to the inhibition of angiotensin-converting enzyme, followed by the inhibition of dipeptidyl peptidase IV and dipeptidyl peptidase III. Many drugs used to treat high blood pressure and type 2 diabetes work by inhibiting these enzymes, suggesting that corn peptides could be potential alternative agents. In vitro studies found that the primary bioactivity observed was antioxidative action. Both in vitro and in silico approaches are valuable for evaluating the bioactive properties resulting from protein hydrolysis, such as those found in α-zein. However, conducting in vitro studies based on prior in silico evaluation can be more efficient and cost-effective. Full article
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<p>Number of scientific studies on bioactive peptides in corn in the last ten years, according to biological activity. Legend: Other activities include hepatoprotection (facilitating alcohol), antimicrobial, anti-cancer, and cell-penetrating capability.</p>
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<p>Biological activities of the 17 α-zein protein amino acid sequences analyzed using the BIOPEP-UWM database. Legend. ACE: ACE inhibitor, AUP: activating ubiquitin-mediated proteolysis, API: acylaminoacyl peptidase inhibitor, AI: alpha-glucosidase inhibitor, AA: antiammnestic, AP: antibacterial peptide, AIN: anti-inflammatory, ANT: antioxidative, Calpain 1: calpain 1 inhibitor, CaMPDE: CaMPDE inhibitor, DDPI: D-Ala-D-Ala dipeptidase inhibitor, DPPIII: dipeptidyl peptidase III inhibitor, DPPIV: dipeptidyl peptidase IV inhibitor, GCI: glutamate carboxypeptidase inhibitor, HMG-CoA: HMG-CoA reductase inhibitor, HYP: hypotensive, HYC: hypouricemic, IMMU: immunomodulating, ITPII: inhibitor of tripeptidyl peptidase II, ICAA: inhibitor of cytosol alanyl aminopeptidase, LACT: lactocepin inhibitor, LEUC: leucyltransferase inhibitor, NEPR: neprilysin 2 inhibitor, NEP: neuropeptide, PANC: pancreatic lipase inhibitor, PHOS: phospholipase A2 inhibitor, REG: regulating (phosphoglycerate kinase activity), RENIN: renin inhibitor, STIG: stimulating (glucose uptake stimulating peptide), STIV: stimulating (vasoactive substance release), TTL: tubulin-tyrosine inhibitor, XAAP: Xaa-Pro inhibitor.</p>
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<p>Biological activities of the 17 α-zein protein amino acid sequences analyzed using the BIOPEP-UWM database after simulated gastrointestinal digestion with pepsin, trypsin, and chymotrypsin. Legend. ACE: ACE inhibitor, API: acylaminoacyl peptidase inhibitor, AIN: anti-inflammatory, ANT: antioxidative, CaMPDE: CaMPDE inhibitor, DPPIII: dipeptidyl peptidase III inhibitor, DPPIV: dipeptidyl peptidase IV inhibitor, HYC: hypouricemic, ITPII: inhibitor of tripeptidyl peptidase II, LACT: lactocepin inhibitor, NEP: neuropeptide, PANC: pancreatic lipase inhibitor, PHOS: phospholipase A2 inhibitor, REG: regulating (phosphoglycerate kinase activity), RENIN: renin inhibitor, STIG: stimulating (glucose uptake stimulating peptide), TTL: tubulin-tyrosine inhibitor, XAAP: Xaa-Pro inhibitor.</p>
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<p>Biological activities found for the 17 α-zein protein amino acid sequences analyzed by using the BIOPEP-UWM database after simulated digestion with subtilisin. Legend. ACE: ACE inhibitor, AI: alpha-glucosidase inhibitor, AP: antibacterial peptide, AIN: anti-inflammatory, ANT: antioxidative, Calpain 1: calpain 1 inhibitor, DDPI: D-Ala-D-Ala dipeptidase inhibitor, DPPIII: dipeptidyl peptidase III inhibitor, DPPIV: dipeptidyl peptidase IV inhibitor, HYP: hypotensive, HYC: hypouricemic, ITPII: inhibitor of tripeptidyl peptidase II, ICAA: inhibitor of cytosol alanyl aminopeptidase, LACT: lactocepin inhibitor, NEPR: neprilysin 2 inhibitor, NEP: neuropeptide, PHOS: phospholipase A2 inhibitor, REG: regulating (phosphoglycerate kinase activity), RENIN: renin inhibitor, STIG: stimulating (glucose uptake stimulating peptide), TTL: tubulin-tyrosine inhibitor, XAAP: Xaa-Pro inhibitor.</p>
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30 pages, 3753 KiB  
Article
Spatial Transcriptomic Profiling of Human Saphenous Vein Exposed to Ex Vivo Arterial Haemodynamics—Implications for Coronary Artery Bypass Graft Patency and Vein Graft Disease
by Liam W. McQueen, Shameem S. Ladak, Georgia R. Layton, Marcin Wozniak, Charles Solomon, Zein El-Dean, Gavin J. Murphy and Mustafa Zakkar
Int. J. Mol. Sci. 2024, 25(19), 10368; https://doi.org/10.3390/ijms251910368 - 26 Sep 2024
Viewed by 518
Abstract
Vein graft disease is the process by which saphenous vein grafts, utilised for revascularisation during coronary artery bypass graft surgery, undergo an inflammation-driven intimal hyperplasia and accelerated atherosclerosis process in subsequent years after implantation. The role of the arterial circulation, particularly the haemodynamic [...] Read more.
Vein graft disease is the process by which saphenous vein grafts, utilised for revascularisation during coronary artery bypass graft surgery, undergo an inflammation-driven intimal hyperplasia and accelerated atherosclerosis process in subsequent years after implantation. The role of the arterial circulation, particularly the haemodynamic properties’ impact on graft patency, have been investigated but have not to date been explored in depth at the transcriptomic level. We have undertaken the first-in-man spatial transcriptomic analysis of the long saphenous vein in response to ex vivo acute arterial haemodynamic stimulation, utilising a combination of a custom 3D-printed perfusion bioreactor and the 10X Genomics Visium Spatial Gene Expression technology. We identify a total of 413 significant genes (372 upregulated and 41 downregulated) differentially expressed in response to arterial haemodynamic conditions. These genes were associated with pathways including NFkB, TNF, MAPK, and PI3K/Akt, among others. These are established pathways involved in the initiation of an early pro-inflammatory response, leukocyte activation and adhesion signalling, tissue remodelling, and cellular differentiation. Utilising unsupervised clustering analysis, we have been able to classify subsets of the expression based on cell type and with spatial resolution. These findings allow for further characterisation of the early saphenous vein graft transcriptional landscape during the earliest stage of implantation that contributes to vein graft disease, in particular validation of pathways and druggable targets that could contribute towards the therapeutic inhibition of processes underpinning vein graft disease. Full article
(This article belongs to the Section Molecular Pathology, Diagnostics, and Therapeutics)
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<p>Overview of experimental process and spatial transcriptomic data analysis of whole-tissue differential gene expression. (<b>A</b>) Diagrammatic representation of the experimental protocol, including LSV harvest, ex vivo acute arterial haemodynamic stimulation, and tissue sectioning process. (<b>B</b>) Volcano plot of whole-tissue differential gene expression in response to acute arterial haemodynamic stimulation. Values from four independent experiments matched patient samples for each experimental condition. Significance values obtained from Wilcoxon rank-sum test, Benjamini–Hochberg multiple testing correction. (<b>C</b>) Heatmap of differential gene expression classified by group (control or static tissue compared against tissue exposed to acute arterial haemodynamic stimulation (dark blue indicates no/low expression, yellow indicated high expression, gradient scale). (<b>D</b>) Dot plot indicating the expression of common transcript features associated with cell types such as endothelial (EC) and smooth muscle (SMC) cells to verify cellular identity. Dot size representative of percentage of tissue spots in each cluster expressing the associated marker gene. Average expression scaled by colour (red–yellow). (<b>E</b>) UMAP plot illustrating variation between clusters, determined by shared nearest neighbour unsupervised clustering analysis and labelled by cell type based on expression profiles. Clusters are also overlaid onto a representative tissue sample to illustrate localisation of expression to histologically appropriate regions. EC/SMC-like denotes a hybrid cluster expressing both EC and SMC characteristics.</p>
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<p>Differential gene expression and network and pathway analysis of endothelial cluster expression data. (<b>A</b>) Volcano plot illustrating the upregulated and downregulated genes activated in response to acute arterial haemodynamic stimulation. Values from four independent experiments matched patient samples for each experimental condition. Significance values obtained from Wilcoxon rank-sum test, Benjamini–Hochberg multiple testing correction. (<b>B</b>) Network analysis illustrating the pathways (and associated genes) activated within the endothelial cluster. Blue boxes represent enriched pathways, and red text represents implicated significant genes connecting these pathways. (<b>C</b>) Pathway analysis illustrating the pathways activated in the endothelial cluster. Bars are coloured based on intersection size, i.e., the number of significant genes associated with this pathway.</p>
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<p>Differential gene expression; network and pathway analysis of smooth muscle cluster expression data. (<b>A</b>) Volcano plot illustrating the upregulated and downregulated genes activated in response to acute arterial haemodynamic stimulation. Values from four independent experiments matched patient samples for each experimental condition. Significance values obtained from Wilcoxon rank-sum test, Benjamini–Hochberg multiple testing correction. (<b>B</b>) Network analysis illustrating the pathways (and associated genes) activated within the smooth muscle cluster. Blue boxes represent enriched pathways; red text represents implicated significant genes connecting these pathways. (<b>C</b>) Pathway analysis illustrating the pathways activated in the smooth muscle cluster. Bars are coloured based on intersection size, i.e., the number of significant genes associated with this pathway.</p>
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<p>Differential gene expression, network and pathway analysis of fibroblast cluster expression data. (<b>A</b>) Volcano plot illustrating the upregulated and downregulated genes activated in response to acute arterial haemodynamic stimulation. Values from four independent experiments matched patient samples for each experimental condition. Significance values obtained from Wilcoxon rank-sum test and Benjamini–Hochberg multiple testing correction. (<b>B</b>) Network analysis illustrating the pathways (and associated genes) activated within the fibroblast cluster. Blue boxes represent enriched pathways; red text represents implicated significant genes connecting these pathways. (<b>C</b>) Pathway analysis illustrating the pathways activated in the fibroblast cluster. Bars are coloured based on intersection size, i.e., the number of significant genes associated with this pathway.</p>
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<p>Identification of druggable targets. (<b>A</b>) Heatmap summarising expression patterns in response to shear stress in the identified clusters. Red indicates upregulation, blue represents downregulated expression, and yellow represents no change. (<b>B</b>) STRING network of all transcripts from A (circles) linked with pharmacologically active drugs (diamonds). Node colour indicates average logFC in response to shear stress in cell−type clusters. Boxes indicate expression in a specific cluster. Unboxed transcripts were significant in more than one cluster. (EC = endothelial; FB = fibroblast; SMC = smooth muscle).</p>
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19 pages, 4648 KiB  
Article
Oxidative Stability of Fish Oil-Loaded Nanocapsules Produced by Electrospraying Using Kafirin or Zein Proteins as Wall Materials
by Nor E. Rahmani-Manglano, Elnaz Z. Fallahasghari, Ana C. Mendes, Mogens L. Andersen, Emilia M. Guadix, Ioannis S. Chronakis and Pedro J. García-Moreno
Antioxidants 2024, 13(9), 1145; https://doi.org/10.3390/antiox13091145 - 23 Sep 2024
Viewed by 617
Abstract
The encapsulation of fish oil by monoaxial electrospraying using kafirin or zein proteins as hydrophobic wall materials was investigated. Kafirin resulted in spherical fish oil-loaded nanocapsules (>50% of capsules below 1 µm), whereas zein led to fish oil-loaded nanocapsules with non-spherical morphology (>80% [...] Read more.
The encapsulation of fish oil by monoaxial electrospraying using kafirin or zein proteins as hydrophobic wall materials was investigated. Kafirin resulted in spherical fish oil-loaded nanocapsules (>50% of capsules below 1 µm), whereas zein led to fish oil-loaded nanocapsules with non-spherical morphology (>80% of capsules below 1 µm). Both hydrophobic encapsulating materials interacted with fish oil, successfully entrapping the oil within the protein matrix as indicated by Fourier-transform infrared spectroscopy (FTIR) and Raman spectroscopy results. FTIR also suggested hydrogen bonding between fish oil and the proteins. Trapped radicals in the encapsulation matrix that were detected by electron paramagnetic resonance (EPR), indicated oxidation during electrospraying and storage. Results from isothermal (140 °C) differential scanning calorimetry (DSC) denoted that the encapsulation of fish oil by electrospraying using both kafirin or zein as wall materials protected fish oil from oxidation. In particular, the zein-based nanocapsules were 3.3 times more oxidatively stable than the kafirin-based nanocapsules, which correlates with the higher oil encapsulation efficiency found for zein-based capsules. Thus, this study shows that kafirin might be considered a hydrophobic wall material for the encapsulation of fish oil by electrospraying, although it prevented lipid oxidation to a lower extent when compared to zein. Full article
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<p>SEM images of fish oil-loaded capsules (13 wt% fish oil) produced by monoaxial electrospraying. K-FO sample (<b>a</b>); Z-FO sample (<b>b</b>).</p>
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<p>Particle size distribution of fish oil-loaded capsules produced by monoaxial electrospraying: K-FO (black) and Z-FO (grey).</p>
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<p>ATR-FTIR spectrum of fish oil (FO).</p>
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<p>FTIR spectra of fish oil (FO), kafirin (K), zein (Z), electrosprayed zein capsules (Z-FO), electrosprayed kafirin capsules without fish oil (K-NFO) or loaded with fish oil (K-FO), and electrosprayed zein capsules without fish oil (Z-NFO) or loaded with fish oil (Z-FO) (<b>a</b>); spectra expanded region from 3050 to 2800 cm<sup>−1</sup> (<b>b</b>); and spectra expanded region from 1780 to 1710 cm<sup>−1</sup> (<b>c</b>).</p>
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<p>Raman spectra of fish oil (FO) (<b>a</b>); 3D image spectra from line-scanning Raman mapping across the surface of FO (<b>b</b>); and corresponding contour map image (<b>c</b>).</p>
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<p>Three-dimensional image spectra from line-scanning Raman mapping across the surface of the electrosprayed (<b>a</b>) kafirin control (K-NFO), (<b>c</b>) zein control (Z-NFO), (<b>e</b>) fish oil-loaded kafirin (K-FO), (<b>g</b>) fish oil-loaded zein capsules (Z-FO); and (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>) corresponding contour map images.</p>
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<p>Glass transition temperature of (<b>a</b>) kafirin samples and (<b>b</b>) zein samples. Different superscript letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) among the samples.</p>
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<p>EPR spectra of protein samples at day 0: (<b>a</b>) kafirin capsules loaded with fish oil (K-FO), (<b>b</b>) zein capsules loaded with fish oil (Z-FO), (<b>c</b>) kafirin capsules without fish oil (K-NFO), (<b>d</b>) zein capsules without fish oil (Z-NFO), (<b>e</b>) kafirin protein powder (Z), and (<b>f</b>) zein protein powder (Z). In (<b>a</b>,<b>b</b>), day 0 (solid line), day15 (dashed line), and day 25 (dotted line).</p>
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<p>(<b>a</b>) Isothermal DSC oxidation curves of non-encapsulated fish oil at different oil magnitudes at 140 °C and oxygen flow of 50 mL/min. (<b>b</b>) Area under the isothermal oxidation curve for non-encapsulated fish oil at different oil concentrations.</p>
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<p>Isothermal DSC results at 140 °C and oxygen flow of 50 mL/min. Area under the isothermal oxidation curve for non-encapsulated FO, fish oil-loaded kafirin, and fish oil-loaded zein nanocapsules. Different superscript letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) among the samples.</p>
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21 pages, 10150 KiB  
Article
Spinning a Sustainable Future: Electrospun Polysaccharide–Protein Fibers for Plant-Based Meat Innovation
by Letícia G. da Trindade, Letícia Zanchet, Fabiana Perrechil Bonsanto and Anna Rafaela Cavalcante Braga
Foods 2024, 13(18), 2962; https://doi.org/10.3390/foods13182962 - 19 Sep 2024
Viewed by 789
Abstract
This study aims to evaluate the feasibility of producing electrospun fibers by combining polysaccharides, zein, and poly(ethylene oxide) (PEO) to simulate the fibers applied in plant-based meat analogs. The rheological properties of biopolymer solutions were evaluated, and the electrospun fibers were characterized according [...] Read more.
This study aims to evaluate the feasibility of producing electrospun fibers by combining polysaccharides, zein, and poly(ethylene oxide) (PEO) to simulate the fibers applied in plant-based meat analogs. The rheological properties of biopolymer solutions were evaluated, and the electrospun fibers were characterized according to their morphology, structural interactions, and thermal analysis. The results indicated that the fibers prepared in a ratio of 90:10 of zein/carrageenan from the mixture of a solution containing 23 wt.% of zein with a solution containing 1 wt.% of carrageenan and with the addition of 1 wt.% of PEO presented a promising structure for application as fibers in meat analogs because they have a more hydrophilic surface. Thus, they have good moisture retention. In addition, they have good thermal stability at high temperatures, which is crucial to achieve a consistent and pleasant texture. Furthermore, it was observed that adding zein and PEO helps with the spinnability of the polysaccharides, producing fibers with good homogeneity. Full article
(This article belongs to the Section Food Nutrition)
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<p>Viscosity as a function of shear rate (<b>a</b>) and log–log plot of the viscosity as a function of shear rate (<b>b</b>) for zein (23 wt.%)/PEO (0.3 wt.%), zein (23 wt.%)/PEO (1 wt.%), zein/alginate (90:10)/PEO 0.3%, and zein/alginate (90:10)/PEO 1% polymer solutions.</p>
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<p>ATR-FTIR spectra of zein powder, PEO powder, alginate powder, Z23P03, and Z-A/(90:10)/P03) (<b>a</b>); and Z23P1, Z-A/(80:20)/P1, Z-A/(85:15)/P1, and Z-A/(90:10)/P1 (<b>b</b>).</p>
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<p>SEM images of Z23P03 (<b>a</b>), Z-A (90:10)/P03 (<b>b</b>), Z23P1 (<b>c</b>) Z-A (90:10)/P1 (<b>d</b>), Z-A (85:15)/P1 (<b>e</b>), and Z-A (80:20)/P1 (<b>f</b>) and their respective fiber diameters.</p>
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<p>The contact angles of Z23P03, Z23P1, Z-A (90:10)/P03, Z-A (80:20)/P-1, Z-A (85:15)/P1, and Z-A (90:10)/P1 fibers.</p>
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<p>TG analysis of zein powder, PEO powder, alginate powder, Z23P03, Z-A/(80:20)/P03, Z-A/(85:15)/P03, and Z-A/(90:10)/P03 (<b>a</b>); TG analysis of zein powder, PEO powder, alginate powder, Z23P1, Z-A/(80:20)/P1, Z-A/(85:15)/P1, and Z-A/(90:10)/P1(<b>b</b>).</p>
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<p>Viscosity as a function of shear rate (<b>a</b>) and log–log plot of the viscosity as a function of shear rate (<b>b</b>) for zein/PEO and zein/carrageenan/PEO solutions at different PEO concentrations.</p>
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<p>ATR-FTIR spectra of zein powder, PEO powder, carrageenan powder, Z23P03, and Z-C/(90:10)/P03 (<b>a</b>); and zein powder, PEO powder, carrageenan powder, Z23P1, Z-C/(80:20)/P1, Z-C/(85:15)/P1, and Z-C/(90:10)/P19 (<b>b</b>).</p>
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<p>SEM images of Z23P03 (<b>a</b>), Z-C (90:10)/P03 (<b>b</b>), Z23P1 (<b>c</b>), Z-C (90:10)/P1 (<b>d</b>), Z-C (85:15)/P1 (<b>e</b>), and Z-C (80:20)/P1 (<b>f</b>) fibers and their respective fiber diameters.</p>
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<p>Contact angles of Z23P03, Z23P1, Z-C(90:10)/P03, Z-C(80:20)/P1, Z-C(85:15)/P1, and Z-C (90:10)/P1 fibers.</p>
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<p>TG analysis of zein powder, PEO powder, carrageenan powder, Z23P03, and Z-C(90:10)/P03 (<b>a</b>) and zein powder, PEO powder, carrageenan powder, Z23P1, Z-C(80:20)/P1, Z-C(85:15)/P1, and Z-C(90:10)/P1(<b>b</b>).</p>
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<p>Viscosity as a function of shear rate (<b>a</b>,<b>b</b>) and log–log plot of the viscosity as a function of shear rate (<b>c</b>,<b>d</b>) for zein/PEO and zein/pectin/PEO solutions at different PEO concentrations.</p>
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<p>ATR-FTIR spectra of zein powder, PEO powder, LM pectin powder, Z23P03, and Z-PLM (90:10)/P03 (<b>a</b>); zein powder, PEO powder, LM pectin powder, Z23P1, Z-PLM (80:20)/P1, Z-PLM (85:15)/P1, and Z-PLM (90:10)/P1 (<b>b</b>); zein powder, PEO powder, LM pectin powder, Z23P03, and Z-PB (90:10)/P03; and zein powder, PEO powder, LM pectin powder, Z23P03, Z-PB (80:20)/P1, Z-PB (80:20)/P1, Z-PB (85:15)/P1, and Z-PB (90:10)/P1.</p>
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<p>SEM images of Z23P03 (<b>a</b>), Z-PLM (90:10)/P03 (<b>b</b>), Z23P1 (<b>c</b>), Z-PLM (90:10)/P1 (<b>d</b>), Z-PLM (85:15)/P1 (<b>e</b>), and Z-PLM (80:20)/P1 (<b>f</b>) fibers and their respective fiber diameters.</p>
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<p>SEM images of Z23P03 (<b>a</b>), Z-PHM (90:10)/P03 (<b>b</b>), Z23P1 (<b>c</b>), Z-HM (90:10)/P1 (<b>d</b>), Z-PHM (85:15)/P1 (<b>e</b>), and Z-PHM (80:20)/P1 (<b>f</b>) fibers and their respective fiber diameters.</p>
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<p>Contact angle of Z23P03, Z23P1, Z-PLM (90:10)/P03, Z-PLM (80:20)/P1, Z-PLM (85:15)/P1, and Z-PLM (90:10)/P1 (<b>a</b>) and Z23P03, Z23P1, Z-PHM (90:10)/P03, Z-PHM (80:20)/P1, Z-PHM (85:15)/P1, and Z-PHM (90:10)/P1 (<b>b</b>) fibers.</p>
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<p>TG analysis of zein powder, PEO powder, LM pectin powder, Z23P03, and Z-PLM(90:10)/P03 (<b>a</b>); zein powder, PEO powder, LM pectin powder, Z23P03, Z-PLM/(80:20)P1, Z-PLM(85:15)/P1, and Z-PLM(90:10)/P1 (<b>b</b>); zein powder, PEO powder, HM pectin powder, Z23P03, and Z-PB(90:10)/P03 (<b>c</b>); and zein powder, PEO powder, HM pectin powder, Z23P1, Z-PB/(80:20)/P1, Z-PHM(85:15)/P1, and Z-PHM(90:10)/P1 (<b>d</b>).</p>
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27 pages, 3122 KiB  
Article
Exploring the Impact of Solid-State Fermentation on Fava Bean Flour: A Comparative Study of Aspergillus oryzae and Rhizopus oligosporus
by Ophélie Gautheron, Laura Nyhan, Maria Garcia Torreiro, Ali Zein Alabiden Tlais, Claudia Cappello, Marco Gobbetti, Andreas Klaus Hammer, Emanuele Zannini, Elke K. Arendt and Aylin W. Sahin
Foods 2024, 13(18), 2922; https://doi.org/10.3390/foods13182922 - 15 Sep 2024
Viewed by 932
Abstract
Fava bean (Vicia faba L.) is a protein-rich pulse with high nutritional value, but its functional and sensory characteristics limit its application in foods. Solid-state fermentation (SSF) can modify the composition of plant proteins, modulate its functionality, and enhance the sensory aspects. [...] Read more.
Fava bean (Vicia faba L.) is a protein-rich pulse with high nutritional value, but its functional and sensory characteristics limit its application in foods. Solid-state fermentation (SSF) can modify the composition of plant proteins, modulate its functionality, and enhance the sensory aspects. In this study, fava bean flour (FB) was fermented with Aspergillus oryzae and Rhizopus oligosporus to produce FBA and FBR, respectively, ingredients with distinct nutritional, functional, and aroma characteristics. The protein content increased by 20% in FBA and 8% in FBR, while fat levels rose more significantly in FBR (+40%). The overall content of fermentable oligo-, di-, mono-saccharides, and polyols (FODMAPs) decreased by 47% (FBA) and 57% (FBR), although polyol production by A. oryzae was observed. SSF improved the nutritional profile of FBA and FBR, with a notable increase in the concentration of essential amino acids observed, and a reduction in most antinutrients, with the exception of trypsin inhibitors. SSF resulted in the formation of aggregates, which increased the particle size and reduced protein solubility. Emulsions prepared with the fermented ingredients separated faster, and the foaming capacity of both FBA and FBR was decreased, but an increase in water-holding capacity was observed. SSF resulted in the production of predominantly savoury-associated aroma compounds, with compounds characteristic of metallic and mouldy aromas reduced. These results indicate the potential of SSF to transform FB with enhanced nutritional value and improved sensory and functional properties. Full article
(This article belongs to the Special Issue Novel Eco-Friendly Technologies to Improve Food Safety and Quality)
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<p>Light transmission profiles of emulsions of fava bean flour (<b>A</b>), fava bean flour fermented with <span class="html-italic">Aspergillus oryzae</span> (<b>B</b>), and fava bean flour fermented with <span class="html-italic">Rhizopus oligosporus</span> (<b>C</b>) as a function of the position. The left side of each graph represents the top of the ingredient’s cuvette. Red and green lines indicate the initial and latest transmission profiles, respectively.</p>
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<p>Protein profiles of the fava bean ingredients, with the reference ladder in the first position (L), followed by fava bean flour FB (A), fava bean flour fermented with <span class="html-italic">Aspergillus oryzae</span> (B), and fava bean flour fermented with <span class="html-italic">Rhizopus oligosporus</span> (C).</p>
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<p>Representative scanning electron micrographs of fava bean flour (<b>A</b>), fava bean flour fermented with <span class="html-italic">Aspergillus oryzae</span> (<b>B</b>), and fava bean flour fermented with <span class="html-italic">Rhizopus oligosporus</span> (<b>C</b>). The magnification shown is 1000×.</p>
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<p>Changes in aromas’ intensity during fermentation relative to fava bean flour, based on the GC-FID peak area (ΔFBA = FBA-FB and ΔFBR = FBR-FB) for compounds with a significant difference (of at least 1 for one of the fermented ingredients).</p>
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<p>Changes in the organic acid concentrations of fava bean flour fermented with <span class="html-italic">Aspergillus oryzae</span> (FBA) or <span class="html-italic">Rhizopus oligosporus</span> (FBR) compared with fava bean flour (FB) (ΔFBA = FBA-FB and ΔFBR = FBR-FB) detected by MS-Omics and expressed as g/100 g on a dry matter basis.</p>
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<p>Particle size distribution for fava bean flour (FB), fava bean flour fermented by <span class="html-italic">Aspergillus oryzae</span> (FBA), and fava bean flour fermented by <span class="html-italic">Rhizopus oligosporus</span> (FBR). The results are expressed as the volume density (%) as a function of size (μm).</p>
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<p>Word clouds for FB (<b>A</b>), FBA (<b>B</b>), and FBR (<b>C</b>) generated from the aroma profiles detected by olfactometry. Larger font sizes reflect the predominance of aromas associated with the compounds.</p>
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20 pages, 14904 KiB  
Article
Enhancement of Mechanical Properties of Zein-Based Nanofibers by Incorporation of Millet Gliadin
by Shumin Wang, Pengjie Wang, Siyuan Liu, Ran Wang, Yixuan Li, Xiaoyu Wang, Fazheng Ren, Jie Luo and Bing Fang
Foods 2024, 13(18), 2900; https://doi.org/10.3390/foods13182900 - 13 Sep 2024
Viewed by 423
Abstract
In this work, a novel reinforcing filler, millet gliadin (MG), was used for the improvement of the mechanical properties of zein nanofibers. The structural and physicochemical properties of MG were compared with those of zein, and the influence of MG on the morphology, [...] Read more.
In this work, a novel reinforcing filler, millet gliadin (MG), was used for the improvement of the mechanical properties of zein nanofibers. The structural and physicochemical properties of MG were compared with those of zein, and the influence of MG on the morphology, physical properties, and molecular structure of zein nanofibers was investigated. The results indicated that MG has an obviously smaller weight-average molecular weight (7623) in comparison to zein (13,330). Transmission electron microscopy showed that zein molecules more easily form aggregates with larger diameters than MG molecules in acetic acid. At a concentration of 30% (w/v), MG exhibited a significantly higher viscosity (0.66 ± 0.03 Pa·s) than zein (0.32 ± 0.01 Pa·s), indicating the stronger interactions of MG molecules. With the incorporation of MG, the tensile strength was significantly increased to 49.32 MPa (ZM-1/2), which is 2.08 times and 4.45 times higher than that of pure zein nanofibers (ZM-1/0) and MG nanofibers (ZM-0/1-1), respectively. Moreover, zein/MG composite nanofibers exhibited improved water stability. Fourier transform infrared spectra showed evidence of the hydrogen bonding interaction between zein and MG. Therefore, MG is a good candidate for use as a natural reinforcing filler in electrospun nanofibers made of biopolymers. Full article
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<p>Sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE) image of zein and millet gliadin. M: marker, lane 1: zein, lane 2: millet gliadin.</p>
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<p>Endogenous fluorescence spectra of zein and millet gliadin.</p>
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<p>Scanning electron microscopy images of zein and millet gliadin.</p>
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<p>Transmission electron microscope images of zein and millet gliadin in acetic acid.</p>
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<p>Scanning electron microscopy images of zein/millet gliadin composite nanofibers.</p>
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<p>Mechanical properties of zein/millet gliadin nanofibers. Various symbols on top of columns suggest significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Images of water contact angle determinations for zein/millet gliadin nanofibers. Results with different lowercase superscript indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The volume changes of zein/millet gliadin nanofibers after immersion in water for 24 h. The various symbols on top of the columns suggest the significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Scanning electron microscopy images of zein/millet gliadin nanofibers after increasing water immersion times up to 24 h.</p>
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<p>TGA curves of zein/millet gliadin nanofibers.</p>
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<p>Schematic representation of electrospun zein fiber (<b>a</b>), zein/millet gliadin composite fiber (<b>b</b>), and millet gliadin fiber (<b>c</b>) formation.</p>
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28 pages, 2664 KiB  
Review
Exploring Protein-Based Carriers in Drug Delivery: A Review
by Claudia Ferraro, Marco Dattilo, Francesco Patitucci, Sabrina Prete, Giuseppe Scopelliti, Ortensia Ilaria Parisi and Francesco Puoci
Pharmaceutics 2024, 16(9), 1172; https://doi.org/10.3390/pharmaceutics16091172 - 5 Sep 2024
Viewed by 1084
Abstract
Drug delivery systems (DDSs) represent an emerging focus for many researchers and they are becoming progressively crucial in the development of new treatments. Great attention is given to all the challenges that a drug has to overcome during its journey across barriers and [...] Read more.
Drug delivery systems (DDSs) represent an emerging focus for many researchers and they are becoming progressively crucial in the development of new treatments. Great attention is given to all the challenges that a drug has to overcome during its journey across barriers and tissues and all the pharmacokinetics modulations that are needed in order to reach the targeting sites. The goal of these pathways is the delivery of drugs in a controlled way, optimizing their bioavailability and minimizing side effects. Recent innovations in DDSs include various nanotechnology-based approaches, such as nanoparticles, nanofibers and micelles, which provide effective targeted delivery and sustained release of therapeutics. In this context, protein-based drug delivery systems are gaining significant attention in the pharmaceutical field due to their potential to revolutionize targeted and efficient drug delivery. As natural biomolecules, proteins offer distinct advantages, including safety, biocompatibility and biodegradability, making them a fascinating alternative to synthetic polymers. Moreover, protein-based carriers, including those derived from gelatin, albumin, collagen, gliadin and silk proteins, demonstrate exceptional stability under physiological conditions, and they allow for controlled and sustained drug release, enhancing therapeutic efficacy. This review provides a comprehensive overview of the current trends, challenges, and future perspectives in protein-based drug delivery, focusing on the types of proteins adopted and the techniques that are being developed to enhance their functionality in terms of drug affinity and targeting capabilities, underscoring their potential to significantly impact modern therapeutics. Full article
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<p>Some examples of different drug delivery systems (DDSs).</p>
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<p>Advantages in the adoption of protein-based nanoparticles as drug delivery systems; data from [<a href="#B4-pharmaceutics-16-01172" class="html-bibr">4</a>].</p>
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<p>Challenges related to protein-based systems and possible solutions.</p>
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<p>Examples of proteins used for the preparation of drug delivery systems.</p>
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<p>(<b>a</b>) Bovine serum albumin (BSA), (<b>b</b>) human serum albumin (HSA), and (<b>c</b>) ovalbumin (OVA) structures.</p>
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<p>Silk fibroin structure.</p>
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<p>Soybean protein structures: (<b>a</b>) crystal structure of glycinin, from soybean proteins; (<b>b</b>) trypsin inhibitor from soybean.</p>
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<p>Comparison among lipid-based formulations (<b>a</b>), polysaccharide-based drug carriers (<b>b</b>), and protein-based carriers (<b>c</b>).</p>
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11 pages, 751 KiB  
Article
Novel Mutations in AKT1 Gene in Prostate Cancer Patients in Jordan
by Ala’a Alasmar, Zina Al-Alami, Sima Zein, Asmaa Al-Smadi, Samir Al Bashir, Mohammed S. Alorjani, Raed M. Al-Zoubi and Mazhar Al Zoubi
Curr. Issues Mol. Biol. 2024, 46(9), 9856-9866; https://doi.org/10.3390/cimb46090586 - 4 Sep 2024
Viewed by 845
Abstract
The AKT1 oncogene is related to various cancers due to its critical role in the PIC3CA/AKT1 pathway; however, most of the studies screened the hotspot mutation AKT1 (E17K) with various incidences. Low frequency or lack of AKT1 (E17K) mutation was reported in prostate [...] Read more.
The AKT1 oncogene is related to various cancers due to its critical role in the PIC3CA/AKT1 pathway; however, most of the studies screened the hotspot mutation AKT1 (E17K) with various incidences. Low frequency or lack of AKT1 (E17K) mutation was reported in prostate cancer (PC) patients. This study aims to explore genetic alterations in the AKT1 PH domain by extending the sequencing to include AKT1 gene exons 3 and 4. Genomic DNA was extracted from 84 Formalin-Fixed Paraffin-Embedded samples of PC patients in Jordan, and then subjected to PCR and sequencing for the targeted exons. This study revealed the presence of two novel mutations (N53Y and Q59K) and a high frequency of mutations in exon 4, with a lack of mutations in the E17K hotspot. Nine missense and two synonymous mutations were detected in exon 4 (Phe27Tyr, Phe27Leu, Ala58Thr, Ser56Phe, Arg41Trp, Phe35Leu, Asp32Glu, Phe35Tyr, and Gln43Lys) and (Ser56 and Glu40), respectively. Two synonymous mutations were detected in exon 3 (Leu12 and Ser2). It is concluded that there is a high frequency of AKT1 mutation in PC patients in Jordan with two novel missense mutations in the Pleckstrin homology (PH) domain. E17K hotspot mutation was not detected in any tested samples, which underlined the significant role of mutations in other AKT1 exons in PC development. Full article
(This article belongs to the Special Issue Linking Genomic Changes with Cancer in the NGS Era, 2nd Edition)
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<p>Sequence chromatograms of novel mutations recorded in exon 4; (<b>A</b>): c.157A &gt; T and (<b>B</b>): c.175C &gt; A (175C &gt; A alteration is the last nucleotide in exon 4). c.174G &gt; T is a synonymous alteration. (The figure was created using FinchTV Version 1.5.0, developed by Geospiza Inc., Denver, CO, USA). Genetic alterations are highlighted in blue.</p>
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<p><span class="html-italic">AKT1</span> gene exons and introns showing relative Akt1 protein domains, amino acid sequence of PH domain, and all variants reported in exon 4. * represents the missense variants.</p>
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<p>A 3D structure of Akt1 protein (RAC-alpha serine/threonine-protein kinase isoform X1) labeled with the positions of amino acid changes of all variants recorded in exon 4. * represents the missense variants.</p>
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21 pages, 7629 KiB  
Article
Synthesis of Ganoderic Acids Loaded Zein-Chitosan Nanoparticles and Evaluation of Their Hepatoprotective Effect on Mice Given Excessive Alcohol
by Yingjia Cao, Yuheng Yang, Zihua Liang, Weiling Guo, Xucong Lv, Li Ni and Youting Chen
Foods 2024, 13(17), 2760; https://doi.org/10.3390/foods13172760 - 29 Aug 2024
Viewed by 655
Abstract
Ganoderma lucidum, used in East Asia for its health benefits, contains ganoderic acids (GA) which have various pharmacological activities but are limited by poor water solubility and low oral bioaccessibility. This study synthesized and characterized ganoderic acids loaded zein-chitosan nanoparticles (GA-NPs), and [...] Read more.
Ganoderma lucidum, used in East Asia for its health benefits, contains ganoderic acids (GA) which have various pharmacological activities but are limited by poor water solubility and low oral bioaccessibility. This study synthesized and characterized ganoderic acids loaded zein-chitosan nanoparticles (GA-NPs), and investigated its advantages in alleviating alcoholic liver injury (ALI) in mice model. The GA-NPs demonstrated high encapsulation efficiency (92.68%), small particle size (177.20 nm), and a +29.53 mV zeta potential. The experimental results of alcohol-induced liver injury mouse model showed that GA-NPs significantly improved liver metabolic function, reduced alcohol-induced liver oxidative stress in liver by decreasing lactate dehydrogenase activity and malondialdehyde level, while increasing the activities of liver antioxidant enzymes and alcohol dehydrogenase. Moreover, GA-NPs were favorable to ameliorate intestinal microbiota dysbiosis in mice exposed to alcohol by increasing the proportion of probiotics such as Romboutsia, Faecalibaculum, Bifidobacterium and Turicibacter, etc., which were highly correlated with the improvement of liver function. Furthermore, GA-NPs modulated the mRNA expression related to ethanol metabolism, oxidative stress and lipid metabolism. Conclusively, this study revealed that GA-NPs have stronger hepatoprotective effects than non-encapsulated ganoderic acids on alleviating ALI by regulating intestinal microbiota and liver metabolism. Full article
(This article belongs to the Special Issue Functional Foods and Their Benefits for Health Regulation)
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<p>Characterization of zein-chitosan nanoparticles loaded with ganoderic acids (GA-NPs). (<b>A</b>) Encapsulation efficiency of ganoderic acids in GA-NPs; (<b>B</b>) Particle diameter and polydispersity index (PDI) of GA-NPs; (<b>C</b>) ζ-potential of GA-NPs; (<b>D</b>) Particle diameter distribution of GA-NPs (** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Microstructure characterization of GA-NPs by SEM and FT-IR spectroscopy. (<b>A</b>) SEM image of GA; (<b>B</b>) SEM image of GA-NPs; (<b>C</b>) FT-IR spectra of GA and GA-NPs. Note: The chitosan (CS) concentration in GA-NPs for microstructure characterization was 0.02 mg/mL.</p>
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<p>Effects of GA-NPs intervention on the body weight gain and the organ indexes in mice with excessive alcohol intake. Compared with the control group, 0.01 &lt; <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 and <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01. Compared with the model group, 0.01 &lt; * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Effects of GA-NPs intervention on the serum biochemical parameters in mice with excessive alcohol intake. Compared with the control group, 0.01 &lt; <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 and <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01. Compared with the model group, 0.01 &lt; * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Effects of GA-NPs intervention on the liver biochemical parameters, liver and jejunum pathological morphology features in mice with excessive alcohol intake. Compared with the control group, 0.01 &lt; <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 and <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01. Compared with the model group, 0.01 &lt; * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01. (<b>A</b>) Hepatic levels of TC, TG, GSH, CAT, MDA, SOD and LDH; (<b>B</b>) Liver pathological morphology features; black arrow: necrosis; yellow arrow: inflammation; (<b>C</b>) jejunum pathological morphology features; red outline.</p>
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<p>Effects of GA-NPs intervention on the fecal levels of total SCFAs (including acetic acid, propionic acid, n-butyric acid, valeric acid, and isovaleric acid) in mice with excessive alcohol intake. Compared with the control group, 0.01 &lt; <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 and <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01. Compared with the model group, 0.01 &lt; * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Effects of GA-NPs intervention on the composition of intestinal microbial populations in mice with excessive alcohol intake. The differences between groups were determined using a Welch’s t-test, and the Benjamini-Hochberg procedure was used to control the false-discovery rate due to multiple testing. Corrected p values are shown at right. The confidence intervals are provided to allow for critical assessment of the biological relevancy of the test results. (<b>A</b>) difference analysis of the first principal component (PCoA[1]) and the second principal component (PCoA[2]) in each group of mice; (<b>B</b>) difference analysis of the first principal component (PCoA[1]) and the third principal component (PCoA[3]) in each group of mice; (<b>C</b>) Hierarchical clustering analysis of intestinal microbiota of different experimental groups drawn based on the relative abundance at genus level.</p>
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<p>The differences of the relative abundance of microbiota between the model and control, GA-H and GA-NPs-H groups. Bars on the left represent the proportion (%) of bacterial genera and only the genus with Benjamini-Hochberg FDR corrected <span class="html-italic">p</span>-values indicate statistically significant differences (* <span class="html-italic">p</span> &lt; 0.05). (<b>A</b>) The control group versus the model group; (<b>B</b>) The GA-H group versus the model group; (<b>C</b>) The GA-NPs-H group versus the model group.</p>
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<p>Spearman’s correlations between the key intestinal microbes and biochemical parameters. (<b>A</b>) Heatmap of correlation coefficients between the key microbes and biochemical parameters. Note: The blue square is a negative correlation, the red square is a positive correlation, ** <span class="html-italic">p</span> &lt; 0.01 and * <span class="html-italic">p</span> &lt; 0.05 indicate extremely significant correlation or significant correlation, respectively. (<b>B</b>) Visualization of the correlation network according to significant correlation between the biochemical parameters and the key microbes. Red nodes: the key microbes increased by high-dose GA-NPs intervention; green nodes: the key microbes reduced by high-dose GA-NPs intervention; blue nodes: the biochemical parameters. The solid red line and the black line represent positive and negative correlation, respectively. Line widths represent the strength of correlation. Only the significant edges were drawn in the network (|r| &gt; 0.6, FDR adjusted * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Effects of high-dose GA-NPs administration on the mRNA levels of ethanol metabolism, oxidative stress and lipid metabolism related genes in livers of mice with excessive alcohol consumption. Compared with the control group, 0.01 &lt; <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 and <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01. Compared with the model group, 0.01 &lt; * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01.</p>
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10 pages, 783 KiB  
Article
Body Size Measurements Grouped Independently of Common Clinical Measures of Metabolic Health: An Exploratory Factor Analysis
by Katie M. Ellison, Aseel El Zein, Chelsi Reynolds, Sarah E. Ehrlicher, Julianne G. Clina, Tsz-Kiu Chui, Kimberly A. Smith, James O. Hill, Holly R. Wyatt and R. Drew Sayer
Nutrients 2024, 16(17), 2874; https://doi.org/10.3390/nu16172874 - 27 Aug 2024
Viewed by 692
Abstract
Background: Obesity is commonly aggregated with indices of metabolic health. Proponents of body positivity approaches question whether body size is a determinant of health and well-being. Our objective was to conduct an exploratory factor analysis (EFA) to determine if body size measurements factor [...] Read more.
Background: Obesity is commonly aggregated with indices of metabolic health. Proponents of body positivity approaches question whether body size is a determinant of health and well-being. Our objective was to conduct an exploratory factor analysis (EFA) to determine if body size measurements factor load with or independent of metabolic health measures. Methods: The EFA was conducted on n= 249 adults using baseline data from four weight loss trials (Sample 1: n = 40; Sample 2: n = 52; Sample 3: n = 53; Sample 4: n = 104). An EFA of nine items (systolic blood pressure [SBP], diastolic blood pressure [DBP], hemoglobin A1c [HbA1c], HDL-cholesterol [HDL], LDL-cholesterol [LDL], total cholesterol [TC], body mass index [BMI], body fat percent BF%], and waist circumference [WC]) was conducted with oblique rotation. Results: Three factors were retained, which produced a model explaining 87.5% of the variance. Six items loaded strongly (>0.8) under three components and were selected for retention (Factor 1: LDL and TC; Factor 2: BMI and WC; Factor 3: SBP and DBP). Conclusion: Body size measures loaded separately from measures of metabolic health and metabolic health were further split into lipid- and blood pressure-focused factors. These results support weight-neutral interventions to improve overall health and well-being. Full article
(This article belongs to the Special Issue Diet and Nutrition Approaches in Obesity Treatment)
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<p>Scree plot of initial four-factor solution.</p>
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<p>Scree plot of final three-factor solution.</p>
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