[go: up one dir, main page]

 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (3,301)

Search Parameters:
Keywords = antidiabetic

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
15 pages, 1910 KiB  
Article
Effects of Chitosan and N-Succinyl Chitosan on Metabolic Disorders Caused by Oral Administration of Olanzapine in Mice
by Balzhima Shagdarova, Viktoria Melnikova, Valentina Kostenko, Mariya Konovalova, Vsevolod Zhuikov, Valery Varlamov and Elena Svirshchevskaya
Biomedicines 2024, 12(10), 2358; https://doi.org/10.3390/biomedicines12102358 - 16 Oct 2024
Abstract
Background: The issue of human mental health is gaining more and more attention nowadays. However, most mental disorders are treated with antipsychotic drugs that cause weight gain and metabolic disorders, which include olanzapine (OLZ). The search for and development of natural compounds for [...] Read more.
Background: The issue of human mental health is gaining more and more attention nowadays. However, most mental disorders are treated with antipsychotic drugs that cause weight gain and metabolic disorders, which include olanzapine (OLZ). The search for and development of natural compounds for the prevention of obesity when taking antipsychotic drugs is an urgent task. The biopolymer chitosan (Chi) and its derivatives have lipid-lowering and anti-diabetic properties, which makes them potential therapeutic substances for use in the treatment of metabolic disorders. The purpose of this work was to analyze the effect of the natural biopolymer Chi, its derivative N-succinyl chitosan (SuChi), and Orlistat (ORL) as a control on the effects caused by the intake of OLZ in a mouse model. Methods: Mice were fed with pearl barley porridge mixed with OLZ or combinations OLZ + Chi, OLZ + SuChi, or OLZ + ORL for 2 months. The weight, lipid profile, blood chemokines, expression of genes associated with appetite regulation, and behavior of the mice were analyzed in dynamics. Results: For the first time, data were obtained on the effects of Chi and SuChi on metabolic changes during the co-administration of antipsychotics. Oral OLZ increased body weight, food and water intake, and glucose, triglyceride, and cholesterol levels in blood. ORL and SuChi better normalized lipid metabolism than Chi, decreasing triglyceride and cholesterol levels. OLZ decreased the production of all chemokines tested at the 4th week of treatment and increased CXCL1, CXCL13, and CCL22 chemokine levels at the 7th week. All of the supplements corrected the level of CXCL1, CXCL13, and CCL22 chemokines but did not recover suppressed chemokines. SuChi and ORL stimulated the expression of satiety associated proopiomelanocortin (POMC) and suppressed the appetite-stimulating Agouti-related protein (AgRP) genes. All supplements improved the locomotion of mice. Conclusions: Taken collectively, we found that SuChi more than Chi possessed an activity close to that of ORL, preventing metabolic disorders in mice fed with OLZ. As OLZ carries positive charge and SuChi is negatively charged, we hypothesized that SuChi’s protective effect can be explained by electrostatic interaction between OLZ byproducts and SuChi in the gastrointestinal tract. Full article
(This article belongs to the Special Issue Advanced Research in Metabolic Syndrome)
Show Figures

Figure 1

Figure 1
<p>Stack of <sup>1</sup>H NMR spectra of (<b>a</b>) chitosan and (<b>b</b>) <span class="html-italic">N</span>-succinyl chitosan.</p>
Full article ">Figure 2
<p>Effects of olanzapine (OLZ) and food supplements on body weight, glucose level, and water and food intake. Mice were fed with pearl barley porridge mixed with dry OLZ only or supplemented with chitosan (Chi), <span class="html-italic">N</span>-succinyl chitosan (SuChi), or orlistat (ORL). (<b>a</b>) Body weight was calculated as a ratio to the weight at the start of the experiment for each mouse and averaged. (<b>b</b>) Glucose level was estimated in the blood at the 4th and 7th weeks of the experiment. (<b>c</b>,<b>d</b>) Water (<b>c</b>) and food (<b>d</b>) intake were measured once a week from the 1st to 4th (4 weeks) and 5th to 8th weeks (7 weeks) per group of five mice and averaged. Data are shown as the mean ± SEM. Significant differences (<span class="html-italic">p</span> &lt; 0.05, Mann–Whitney) are shown by brackets.</p>
Full article ">Figure 3
<p>Effects of olanzapine (OLZ) and food supplements on lipid metabolism. Triglyceride (<b>a</b>), total cholesterol (<b>b</b>), high density lipoproteins (HDL) (<b>c</b>), low density lipoproteins (LDL) (<b>d</b>), and LDL to HDL ratios at the 4th (<b>e</b>) and 7th (<b>f</b>) weeks of the treatment in the blood of mice fed with dry OLZ only or supplemented with chitosan (Chi), <span class="html-italic">N</span>-succinyl chitosan (SuChi), or orlistat (ORL). Data are shown as mean ± SEM. Significant differences (<span class="html-italic">p</span> &lt; 0.05, Mann–Whitney) are shown by brackets.</p>
Full article ">Figure 4
<p>Effects of olanzapine (OLZ) and food supplements on blood chemokines. (<b>a</b>–<b>c</b>) Intact blood homeostatic chemokine concentrations (<b>a</b>) and the effect of OLZ and the combination of OLZ with chitosan (Chi), <span class="html-italic">N</span>-succinyl chitosan (SuChi), or orlistat (ORL) at week 4 (<b>b</b>) or 7 (<b>c</b>). (<b>d</b>–<b>f</b>) Intact blood inducible chemokine concentrations (<b>d</b>) and OLZ and OLZ plus the supplements at weeks 4 (<b>e</b>) and 7 (<b>f</b>) of the treatment. Data are shown and mean ± SEM (<b>a</b>) or as the ratios of experimental sample concentrations to the control intact blood ones. Significant differences (<span class="html-italic">p</span> &lt; 0.05, Mann–Whitney) are shown by brackets only for the increased by OLZ chemokines.</p>
Full article ">Figure 5
<p>Expression of appetite-associated genes in the hypothalamus of olanzapine-treated mice. (<b>a</b>) Scheme of hypothalamic isolation. Incisions were made rostrally (r) at the level of the optic chiasma and caudally (c) along the pituitary pedicle, dorsally along the border of the third ventricle (3v). The drawing was created using the BioRender program (<a href="https://app.biorender.com" target="_blank">https://app.biorender.com</a>). (<b>b</b>–<b>f</b>) An analysis of gene expression associated with metabolic changes in the hypothalamus of mice treated orally with olanzapine (OLZ) alone and in combination with orlistat (OLZ-ORL), chitosan (OLZ-Chi), or <span class="html-italic">N</span>-succinyl chitosan (OLZ-SuChi). Data are shown as the relative expression calculated as DeltaCt<sub>experiment</sub>/DeltaCt<sub>control</sub>, where experiment corresponds to OLZ-treated samples and control corresponds to intact mice. Significant differences (<span class="html-italic">p</span> &lt; 0.05, Mann–Whitney) are shown by brackets.</p>
Full article ">Figure 6
<p>Effect of olanzapine (OLZ) and food supplementation on the locomotion and rearings of mice in an open field test (OFT). Mice fed with OLZ alone or supplemented with chitosan (Chi), <span class="html-italic">N</span>-succinyl chitosan (SuChi), or orlistat (ORL) were run for 4 min in an OFT (3 min in the light and the last min in the dark, shown by the gray bar). (<b>a</b>,<b>b</b>) Number of sectors crossed at the 4th (<b>a</b>) and 7th (<b>b</b>) weeks. (<b>c</b>,<b>d</b>) Total number of rearing at the 4th (<b>c</b>) and 7th (<b>d</b>) weeks. Significant differences (<span class="html-italic">p</span> &lt; 0.05, Mann–Whitney) are shown by brackets (* in (<b>a</b>)).</p>
Full article ">
30 pages, 5645 KiB  
Article
Exploring the Antidiabetic Potential of Salvia officinalis Using Network Pharmacology, Molecular Docking and ADME/Drug-Likeness Predictions
by Chimaobi J. Ononamadu and Veronique Seidel
Plants 2024, 13(20), 2892; https://doi.org/10.3390/plants13202892 (registering DOI) - 16 Oct 2024
Viewed by 229
Abstract
A combination of network pharmacology, molecular docking and ADME/drug-likeness predictions was employed to explore the potential of Salvia officinalis compounds to interact with key targets involved in the pathogenesis of T2DM. These were predicted using the SwissTargetPrediction, Similarity Ensemble Approach and BindingDB databases. [...] Read more.
A combination of network pharmacology, molecular docking and ADME/drug-likeness predictions was employed to explore the potential of Salvia officinalis compounds to interact with key targets involved in the pathogenesis of T2DM. These were predicted using the SwissTargetPrediction, Similarity Ensemble Approach and BindingDB databases. Networks were constructed using the STRING online tool and Cytoscape (v.3.9.1) software. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis and molecular docking were performed using DAVID, SHINEGO 0.77 and MOE suite, respectively. ADME/drug-likeness parameters were computed using SwissADME and Molsoft L.L.C. The top-ranking targets were CTNNB1, JUN, ESR1, RELA, NR3C1, CREB1, PPARG, PTGS2, CYP3A4, MMP9, UGT2B7, CYP2C19, SLCO1B1, AR, CYP19A1, PARP1, CYP1A2, CYP1B1, HSD17B1, and GSK3B. Apigenin, caffeic acid, oleanolic acid, rosmarinic acid, hispidulin, and salvianolic acid B showed the highest degree of connections in the compound-target network. Gene enrichment analysis identified pathways involved in insulin resistance, adherens junctions, metabolic processes, IL-17, TNF-α, cAMP, relaxin, and AGE-RAGE in diabetic complications. Rosmarinic acid, caffeic acid, and salvianolic acid B showed the most promising interactions with PTGS2, DPP4, AMY1A, PTB1B, PPARG, GSK3B and RELA. Overall, this study enhances understanding of the antidiabetic activity of S. officinalis and provides further insights for future drug discovery purposes. Full article
(This article belongs to the Section Phytochemistry)
Show Figures

Figure 1

Figure 1
<p>Venn diagram depiction of the biological targets common (intersection) to <span class="html-italic">S. officinalis</span> compounds and T2DM.</p>
Full article ">Figure 2
<p>(<b>A</b>) Protein–Protein Interaction (PPI) network and (<b>B</b>) top-ranked 20 (Hub Genes) T2DM targets of <span class="html-italic">S. officinalis</span> compounds. The sizes of the nodes in (<b>A</b>) are proportional to the magnitude of the degree.</p>
Full article ">Figure 3
<p>Compound-target network. The sizes of the nodes are proportional to the magnitude of the degree. Red circles = T2DM targets and blue circles = <span class="html-italic">S. officinalis</span> compounds.</p>
Full article ">Figure 4
<p>Top-ranked 10 (core) <span class="html-italic">S. officinalis</span> compounds predicted to interact with T2DM targets.</p>
Full article ">Figure 5
<p>Target-pathway (TP) network of enriched T2DM-related KEGG pathways for the identified targets. Orange = KEGG Pathways, Green = Targets.</p>
Full article ">Figure 6
<p>GO and KEGG pathway analysis showing the top-ranked enrichments of (<b>A</b>) molecular function and (<b>B</b>) biological process for the common targets/genes associated with <span class="html-italic">S. officinalis</span> compounds and T2DM.</p>
Full article ">Figure 7
<p>GO and KEGG pathway analysis showing the top-ranked enrichments of (<b>A</b>) cellular compartment (<b>B</b>) KEGG pathways for the common targets/genes associated with <span class="html-italic">S. officinalis</span> compounds and T2DM.</p>
Full article ">Figure 8
<p>Docked pose of rosmarinic acid with (<b>A</b>) PGTS2 (<b>B</b>) AMY1A and (<b>C</b>) DDP4.</p>
Full article ">Figure 9
<p>Docked pose of salvianolic acid B acid with (<b>A</b>) PPARG, (<b>B</b>) GSK3B and (<b>C</b>) RELA.</p>
Full article ">Figure 10
<p>Docked pose of caffeic acid with PTP1B.</p>
Full article ">
17 pages, 652 KiB  
Article
Hypoglycemic Properties of Leccinum scabrum Extracts—An In Vitro Study on α-Glucosidase and α-Amylase Inhibition and Metabolic Profile Determination
by Valeria Ferraro, Anna Spagnoletta, Natalie Paola Rotondo, René Massimiliano Marsano, Daniela Valeria Miniero, Gaetano Balenzano, Annalisa De Palma, Alessandro Colletti, Maria Letizia Gargano, Giovanni Lentini and Maria Maddalena Cavalluzzi
J. Fungi 2024, 10(10), 718; https://doi.org/10.3390/jof10100718 - 15 Oct 2024
Viewed by 241
Abstract
Type-2 diabetes affects an increasing percentage of the world’s population and its control through dietary management, involving the consumption of health-promoting foods or their derived supplements, is a common strategy. Several mushroom species have been demonstrated to be endowed with antidiabetic properties, resulting [...] Read more.
Type-2 diabetes affects an increasing percentage of the world’s population and its control through dietary management, involving the consumption of health-promoting foods or their derived supplements, is a common strategy. Several mushroom species have been demonstrated to be endowed with antidiabetic properties, resulting from their ability in improving insulin sensitivity and production, or inhibiting the carbohydrate-hydrolyzing enzymes α-amylase and α-glucosidase. This study aimed to investigate for the first time the hypoglycemic properties of the edible mushroom Leccinum scabrum (Bull.) Gray. Mushroom extracts were prepared through the microwave-assisted extraction (MAE) technique using green solvents with different polarity degrees. The inhibition activity of all the obtained extracts on both α-glucosidase and α-amylase was evaluated and the highest activity was observed for the EtOAc extract which showed an IC50 value about 60-fold lower than the reference compound 1-deoxynojirimycin (DNJ) on α-glucosidase (0.42 ± 0.02 and 25.4 ± 0.6 µg/mL, respectively). As expected on the basis of the literature data concerning both α-glucosidase and α-amylase inhibition, a milder inhibition activity on pancreatic α-amylase was observed. Preliminary in vivo tests on Drosophila melanogaster carried out on the most active obtained extract (EtOAc) confirmed the in vitro observed hypoglycemic activity. Finally, the EtOAc extract metabolic profile was determined through GC-MS and HRMS analyses. Full article
Show Figures

Figure 1

Figure 1
<p>Molecular structure of the major fatty acids and sterols detected by GC-MS in fractions LS1, LS2, and LS3 of the microwave/EtOAc extract of <span class="html-italic">L</span>. <span class="html-italic">scabrum</span>.</p>
Full article ">
21 pages, 18833 KiB  
Article
Mitigating Hyperglycaemic Oxidative Stress in HepG2 Cells: The Role of Carica papaya Leaf and Root Extracts in Promoting Glucose Uptake and Antioxidant Defence
by Mthokozisi Bongani Nxumalo, Nosipho Ntanzi, Hezekiel Mathambo Kumalo and Rene Bernadette Khan
Nutrients 2024, 16(20), 3496; https://doi.org/10.3390/nu16203496 (registering DOI) - 15 Oct 2024
Viewed by 334
Abstract
Background/Objectives: Diabetes often goes undiagnosed, with 60% of people in Africa unaware of their condition. Type 2 diabetes mellitus (T2DM) is associated with insulin resistance and is treated with metformin, despite the undesirable side effects. Medicinal plants with therapeutic potential, such as Carica [...] Read more.
Background/Objectives: Diabetes often goes undiagnosed, with 60% of people in Africa unaware of their condition. Type 2 diabetes mellitus (T2DM) is associated with insulin resistance and is treated with metformin, despite the undesirable side effects. Medicinal plants with therapeutic potential, such as Carica papaya, have shown promising anti-diabetic properties. This study explored the role of C. papaya leaf and root extracts compared to metformin in reducing hyperglycaemia-induced oxidative stress and their impact on liver function using HepG2 as a reference. Methods: The cytotoxicity was assessed through the MTT assay. At the same time, glucose uptake and metabolism (ATP and ∆Ψm) in HepG2 cells treated with C. papaya aqueous leaf and root extract were evaluated using a luminometry assay. Additionally, antioxidant properties (SOD2, GPx1, GSH, and Nrf2) were measured using qPCR and Western blot following the detection of MDA, NO, and iNOS, indicators of free radicals. Results: The MTT assay showed that C. papaya extracts did not exhibit toxicity in HepG2 cells and enhanced glucose uptake compared to the hyperglycaemic control (HGC) and metformin. The glucose levels in C. papaya-treated cells increased ATP production (p < 0.05), while the ∆Ψm was significantly increased in HGR1000-treated cells (p < 0.05). Furthermore, C. papaya leaf extract upregulated GPx1 (p < 0.05), GSH, and Nrf2 gene (p < 0.05), while SOD2 and Nrf2 proteins were reduced (p > 0.05), ultimately lowering ROS (p > 0.05). Contrarily, the root extract stimulated SOD2 (p > 0.05), GPx1 (p < 0.05), and GSH levels (p < 0.05), reducing Nrf2 gene and protein expression (p < 0.05) and resulting in high MDA levels (p < 0.05). Additionally, the extracts elevated NO levels and iNOS expression (p < 0.05), suggesting potential RNS activation. Conclusion: Taken together, the leaf extract stimulated glucose metabolism and triggered ROS production, producing a strong antioxidant response that was more effective than the root extract and metformin. However, the root extract, particularly at high concentrations, was less effective at neutralising free radicals as it did not stimulate Nrf2 production, but it did maintain elevated levels of SOD2, GSH, and GPx1 antioxidants. Full article
(This article belongs to the Section Phytochemicals and Human Health)
Show Figures

Figure 1

Figure 1
<p>The effects of <span class="html-italic">C. papaya</span> leaf and root extracts on cell viability and cytotoxicity in HepG2 cells induced with NG and hyperglycaemia. <span class="html-italic">C. papaya</span> leaf extract had fluctuating effects on cell viability, ranging from 85% to 103%, in both NG and hyperglycaemia (HG) treated cells (<b>A</b>,<b>B</b>), respectively. However, cell viability remained similar to the control (100%) in NG cells treated with <span class="html-italic">C. papaya</span> root (<b>C</b>). In contrast, the viability was increased to 110% in HG-treated cells (<b>D</b>). All experiments were conducted in triplicates.</p>
Full article ">Figure 2
<p>In hyperglycemic conditions, the concentration of <span class="html-italic">C. papaya</span> leaf and root extracts at 500 and 1000 µg/mL maintained cell viability similar to normal and HG controls. Metformin slightly reduced it to 81%.</p>
Full article ">Figure 3
<p>The levels of glucose in HGMet- and HGL500-treated cells were non-significantly decreased in relation to the HGC-treated cells, while were increased significantly in the HGL1000-, HGR500-, and HGR1000-treated cells (##, *** <span class="html-italic">p</span> &lt; 0.05, unpaired student <span class="html-italic">t</span>-test with Welch’s correction).</p>
Full article ">Figure 4
<p>The effect of <span class="html-italic">C. papaya</span> on hyperglycaemia-induced HepG2 was shown through two measures: mitochondrial membrane potential and ATP activity levels. <span class="html-italic">C. papaya</span> treatment showed a slight increase in ∆Ψm except for HGR1000, where a significant increase was observed (<b>A</b>). Also, ATP levels in HG-treated HepG2 cells were significantly higher compared to HG-control (<b>B</b>) (###, *, **, ***, <span class="html-italic">p</span> &lt; 0.05, unpaired student <span class="html-italic">t</span>-test with Welch’s correction).</p>
Full article ">Figure 5
<p>The effect of <span class="html-italic">C. papaya</span> leaf and root extracts on lipid peroxidation induced by HG (<b>A</b>) and nitrate/nitrite concentrations (<b>B</b>). Results showed that HGMet treatment led to a decrease in MDA levels, while <span class="html-italic">C. papaya</span> treatment resulted in an increased MDA concentration (<b>A</b>). Moreover, HGMet treatment significantly lowered nitrate/nitrile levels in cells, whereas <span class="html-italic">C. papaya</span> treatment led to a significant increase in nitrate/nitrile levels in HepG2 cells (<b>B</b>) (*, **, *** <span class="html-italic">p</span> &lt; 0.05, unpaired student <span class="html-italic">t</span>-test with Welch’s correction).</p>
Full article ">Figure 6
<p>The presence of hyperglycaemia significantly reduced GSH levels from normal glucose to HGC. However, treatments effectively restored intracellular GSH levels above the HGC (<b>A</b>). The GSH/GSSG ratio decreased in HGMet-treated cells. At the same time, it increased in HG-induced cells treated with <span class="html-italic">C. papaya</span> leaf and root extracts, indicating the antioxidant effect of <span class="html-italic">C. papaya</span> extracts on GSH/GSSG in HG HepG2 cells (<b>B</b>) (##, ** <span class="html-italic">p</span> &lt; 0.05, unpaired student <span class="html-italic">t</span>-test with Welch’s correction).</p>
Full article ">Figure 7
<p>The effects of <span class="html-italic">C. papaya</span> on the iNOS, SOD2, and GPx1 protein expression of hyperglycaemia-induced HepG2 cells (<b>A</b>) shows a non-significant increase in iNOS protein expression from the NG-control to the HG-control; however, a significant increase in the protein expression was seen in HGMet and <span class="html-italic">C. papaya</span>-treated cells compared to the HG-control. (<b>B</b>) SOD2 expression was upregulated in HG cells treated with metformin but downregulated in <span class="html-italic">C. papaya</span> HGL500 and HGL1000. SOD2 expression remained slightly higher in HGR-treated cells compared to HGC. (<b>C</b>) GPx1 protein expression decreased in HG-control when compared to the NG-control, while it was increased in HGMet and <span class="html-italic">C. papaya</span>-treated HepG2 (##, *, **, *** <span class="html-italic">p</span> &lt; 0.05, unpaired student <span class="html-italic">t</span>-test with Welch’s correction).</p>
Full article ">Figure 8
<p>The gene expression of <span class="html-italic">Nrf2</span> was found to be lower in HGC compared to NGC, while its protein expression was significantly higher in HGC. However, when metformin, HGL500, and HGL1000 were administered, there was an increase in the gene expression of <span class="html-italic">Nrf2</span>, while the protein expression decreased as a result of the same treatments (<b>A</b>). On the other hand, treating hyperglycemic HepG2 cells with <span class="html-italic">C. papaya</span> root extract led to a downregulation of the Nrf2 gene expression, while HGR500 increased the protein expression. However, the protein expression was significantly reduced in cells treated with HGR1000 (<b>B</b>) (##, *, **, *** <span class="html-italic">p</span> &lt; 0.05, unpaired student <span class="html-italic">t</span>-test with Welch’s correction).</p>
Full article ">
26 pages, 3705 KiB  
Article
The Green Extraction of Blueberry By-Products: An Evaluation of the Bioactive Potential of the Anthocyanin/Polyphenol Fraction
by Giorgio Capaldi, Clelia Aimone, Emanuela Calcio Gaudino, Kristina Radošević, Martina Bagović, Giorgio Grillo and Giancarlo Cravotto
Int. J. Mol. Sci. 2024, 25(20), 11032; https://doi.org/10.3390/ijms252011032 - 14 Oct 2024
Viewed by 347
Abstract
In the context of a circular economy, this study explores the valorization of blueberry pomace (BP) as a source of bioactive compounds using sustainable extraction methods. Microwave-assisted extraction (MAE) and microwave-assisted subcritical water extraction (MASWE) were employed to obtain two distinct fractions: MAE [...] Read more.
In the context of a circular economy, this study explores the valorization of blueberry pomace (BP) as a source of bioactive compounds using sustainable extraction methods. Microwave-assisted extraction (MAE) and microwave-assisted subcritical water extraction (MASWE) were employed to obtain two distinct fractions: MAE 1° and MASWE 2°. The first extract, MAE 1°, obtained at 80 °C, had a high total anthocyanin content (21.96 mgCya-3-glu/gextract), making it suitable as a natural pigment. Additionally, MAE 1° exhibited significant enzyme inhibition, particularly against α-amylase and β-glucosidase, suggesting potential anti-diabetic and anti-viral applications. The second extract, MASWE 2°, obtained at 150 °C, contained a higher total phenolic content (211.73 mgGAE/gextract) and demonstrated stronger antioxidant activity. MASWE 2° showed greater inhibition of acetylcholinesterase and tyrosinase, indicating its potential for use in Alzheimer’s treatment, skincare, or as a food preservative. MASWE 2° exhibited cytotoxicity against HeLa cells and effectively mitigated H2O2-induced oxidative stress in HaCat cells, with MAE 1° showing similar but less pronounced effects. A tested formulation combining MAE 1° and MASWE 2° extracts in a 3:2 ratio effectively enhanced anthocyanin stability, demonstrating its potential as a heat-stable pigment. The extract characteristics were compared with a conventional method (MeOH-HCl in reflux condition), and the protocol’s sustainability was assessed using several green metric tools, which provided insights into its environmental impact and efficiency. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>MAE of BP: total polyphenols (mg<sub>GAE</sub>/g<sub>matrix</sub>) and anthocyanin (mg<sub>Cya-3-glu</sub>/g<sub>matrix</sub>) extraction yields at different temperatures using organic and inorganic acid.</p>
Full article ">Figure 2
<p>The Peleg regression model applied for the optimization of the MAE time for polyphenols and anthocyanin in a citric acid solution. The experimental input parameters were time (2, 5, 10, 20, 30, 45, and 60 min), temperature (80 °C), and S/L (1:30).</p>
Full article ">Figure 3
<p>Monomeric polyphenols and tannins’ relative percentages regarding total polyphenol content in BP extracts. (<b>a</b>) MAE 1°; (<b>b</b>) MASWE 2°; (<b>c</b>) Conv.</p>
Full article ">Figure 4
<p>Antioxidant activity of BP extracts measured with chemical (ABTS; DPPH) and electrochemical methodologies (BRS device).</p>
Full article ">Figure 5
<p>Effects of different volume ratios (<span class="html-italic">v</span>/<span class="html-italic">v</span>) of three tested extracts (MAE 1°, MASWE 2°, and Conv.) on proliferation of HeLa (<b>a</b>) and HaCaT (<b>b</b>) cells. Results are expressed as cell viability (%) relative to control cells.</p>
Full article ">Figure 5 Cont.
<p>Effects of different volume ratios (<span class="html-italic">v</span>/<span class="html-italic">v</span>) of three tested extracts (MAE 1°, MASWE 2°, and Conv.) on proliferation of HeLa (<b>a</b>) and HaCaT (<b>b</b>) cells. Results are expressed as cell viability (%) relative to control cells.</p>
Full article ">Figure 6
<p>Measurement of spectrophotometric fluorescence intensity. Results are expressed as mean ± SD. Asterisks represent significant difference in reactive oxygen species (ROS) content determined by DCF-DA assay between positive control (H<sub>2</sub>O<sub>2</sub>) and treatment groups (* <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 7
<p>Energy activation (<b>a</b>) and pre-exponential factor (<b>b</b>) for tested BP formulation. Green bars: factor considered directly proportional to thermal stability; red bars: factor considered inversely proportional to thermal stability.</p>
Full article ">Figure 8
<p>The four graph bars report the degradation constant (k) calculated for the four key temperatures in food processing. The degradation constant value is inversely proportional with thermal stability at the relative temperature.</p>
Full article ">Figure 9
<p>Green metrics evaluation for BP extraction procedures. Green bars: metrics considered directly proportional to sustainability; red bars: metrics considered inversely proportional to sustainability.</p>
Full article ">Figure 10
<p>Green Motion evaluation scores for BP extractions. (<b>a</b>) MAE 1°, (<b>b</b>) MASWE 2°, (<b>c</b>) 1° + 2°, and (<b>d</b>) Conv.</p>
Full article ">Figure 11
<p>Schematic representation of processing operation for MAE (1) and MASWE (2) extract production.</p>
Full article ">Figure A1
<p>Polyphenol time optimization extraction at 150 °C in MASWE 2°.</p>
Full article ">Figure A2
<p>Degradation kinetic of polyphenols in MASWE 2° at different times at 150 °C.</p>
Full article ">
15 pages, 3351 KiB  
Article
Trends in Antidiabetic Drug Use and Safety of Metformin in Diabetic Patients with Varying Degrees of Chronic Kidney Disease from 2010 to 2021 in Korea: Retrospective Cohort Study Using the Common Data Model
by Sung Hwan Joo, Seungwon Yang, Suhyun Lee, Seok Jun Park, Taemin Park, Sang Youl Rhee, Jae Myung Cha, Sandy Jeong Rhie, Hyeon Seok Hwang, Yang Gyun Kim and Eun Kyoung Chung
Pharmaceuticals 2024, 17(10), 1369; https://doi.org/10.3390/ph17101369 - 14 Oct 2024
Viewed by 342
Abstract
Background/Objectives: This study aimed to investigate trends in antidiabetic drug use and assess the risk of metformin-associated lactic acidosis (MALA) in patients with chronic kidney disease (CKD). Methods: A retrospective observational analysis based on the common data model was conducted using electronic medical [...] Read more.
Background/Objectives: This study aimed to investigate trends in antidiabetic drug use and assess the risk of metformin-associated lactic acidosis (MALA) in patients with chronic kidney disease (CKD). Methods: A retrospective observational analysis based on the common data model was conducted using electronic medical records from 2010 to 2021. The patients included were aged ≥18, diagnosed with CKD and type 2 diabetes, and had received antidiabetic medications for ≥30 days. MALA was defined as pH ≤ 7.35 and arterial lactate ≥4 mmol/L. Results: A total of 8318 patients were included, with 6185 in CKD stages 1–2 and 2133 in stages 3a–5. Metformin monotherapy was the most prescribed regimen, except in stage 5 CKD. As CKD progressed, metformin use significantly declined; insulin and meglitinides were most frequently prescribed in end-stage renal disease. Over the study period, the use of SGLT2 inhibitors (13.3%) and DPP-4 inhibitors (24.5%) increased significantly, while sulfonylurea use decreased (p < 0.05). Metformin use remained stable in earlier CKD stages but significantly decreased in stage 3b or worse. The incidence rate (IR) of MALA was 1.22 per 1000 patient-years, with a significantly increased IR in stage 4 or worse CKD (p < 0.001). Conclusions: Metformin was the most prescribed antidiabetic drug in CKD patients in Korea with a low risk of MALA. Antidiabetic drug use patterns varied across CKD stages, with a notable decline in metformin use in advanced CKD and a rise in SGLT2 inhibitor prescriptions, underscoring the need for further optimized therapy. Full article
(This article belongs to the Section Pharmacology)
Show Figures

Figure 1

Figure 1
<p>Flowchart of study patient selection. OMOP CDM, the observational medical outcomes partnership common data model; CKD, chronic kidney disease.</p>
Full article ">Figure 2
<p>Patterns of prescribing antidiabetic drug regimen in patients with chronic kidney disease (CKD) by stages: (<b>a</b>) mild CKD (i.e., stage 1 to 2); (<b>b</b>) CKD stage 3a; (<b>c</b>) CKD stage 3b; (<b>d</b>) CKD stage 4; (<b>e</b>) CKD stage 5 receiving dialysis; and (<b>f</b>) CKD stage 5 not receiving dialysis. Abbreviations: AGI, alpha-glucosidase inhibitor; DPP4i, dipeptidyl peptidase-4 inhibitor; Glinide, meglitinide; MET, metformin; SU, sulfonylurea; TZD, thiazolidinedione.</p>
Full article ">Figure 3
<p>Temporal trends of prescribing antidiabetic drugs in patients with chronic kidney disease (CKD) by stages: (<b>a</b>) mild CKD (i.e., stage 1 to 2); (<b>b</b>) CKD stage 3a; (<b>c</b>) CKD stage 3b to 5. Alpha-glucosidase inhibitor is not shown on the plot due to minimal use throughout the study period. Abbreviations: DPP4i, dipeptidyl peptidase-4 inhibitor; glinide, meglitinide; MET, metformin; SGLT2i, sodium-glucose cotransporter-2 inhibitor; SU, sulfonylurea; TZD, thiazolidinedione.</p>
Full article ">
24 pages, 5309 KiB  
Article
Exploration of Nutraceutical Potentials of Isorhapontigenin, Oxyresveratrol and Pterostilbene: A Metabolomic Approach
by Yu Dai, Jingbo Wang, Yuhui Yang, Hongrui Jin, Feng Liu, Hui Liu, Paul C. Ho and Hai-Shu Lin
Int. J. Mol. Sci. 2024, 25(20), 11027; https://doi.org/10.3390/ijms252011027 - 14 Oct 2024
Viewed by 395
Abstract
Resveratrol (trans-3,5,4′-trihydroxystilbene, RES) is one of the most well-known natural products with numerous health benefits. To explore the nutraceutical potentials of some dietary RES derivatives including isorhapontigenin (trans-3,5,4′-trihydroxy-3′-methoxystilbene, ISO), oxyresveratrol (trans-3,5,2′,4′-tetrahydroxystilbene, OXY) and pterostilbene (trans-3,5-dimethoxy-4′-hydroxystilbene, [...] Read more.
Resveratrol (trans-3,5,4′-trihydroxystilbene, RES) is one of the most well-known natural products with numerous health benefits. To explore the nutraceutical potentials of some dietary RES derivatives including isorhapontigenin (trans-3,5,4′-trihydroxy-3′-methoxystilbene, ISO), oxyresveratrol (trans-3,5,2′,4′-tetrahydroxystilbene, OXY) and pterostilbene (trans-3,5-dimethoxy-4′-hydroxystilbene, PTS), their impacts on metabolism and health were assessed in Sprague Dawley rats after a two-week daily oral administration at the dose of 100 µmol/kg/day. Non-targeted metabolomic analyses were carried out with the liver, heart, brain and plasma samples using gas chromatography–tandem mass spectrometry (GC-MS/MS). Notable in vivo health benefits were observed, as the rats received ISO, PTS or RES showed less body weight gain; the rats received OXY or RES displayed healthier fasting blood glucose levels; while all of the tested stilbenes exhibited cholesterol-lowering effects. Additionally, many important metabolic pathways such as glycolysis, pentose phosphate pathway, tricarboxylic acid cycle and fatty acid oxidation were found to be modulated by the tested stilbenes. Besides the reaffirmation of the well-known beneficial effects of RES in diabetes, obesity, cardiovascular disease and Alzheimer’s disease, the metabolomic analyses also suggest the anti-diabetic, cardio-, hepato- and neuro-protective activities of ISO; the anti-diabetic, cardio-, hepato- and neuro-protective effects of OXY; and the anti-aging, anti-inflammatory, cardio-, hepato- and neuro-protective potential of PTS. Interestingly, although these stilbenes share a similar structure, their biological activities appear to be distinct. In conclusion, similarly to RES, ISO, OXY and PTS have emerged as promising candidates for further nutraceutical development. Full article
(This article belongs to the Special Issue Resveratrol: Improving Human Health and Preventing Diseases)
Show Figures

Figure 1

Figure 1
<p>Chemical structure of resveratrol and its dietary derivatives.</p>
Full article ">Figure 2
<p>Effects of resveratrol and its dietary derivatives on body wight, fasting glucose and total cholesterol. On day 0, 40 healthy male Sprague Dawley rats were randomly divided in 5 groups (each group: <span class="html-italic">n</span> = 8) while their body weight and fasting blood glucose level were measured; during days 1–14, the rats received daily oral administration of RES, ISO, OXY or PTS at the dose of 100 µmol/kg; their body weight and fasting blood glucose level were recorded on day 15 before sacrifice. (<b>A</b>) Increment in body weight; (<b>B</b>) Fasting blood glucose level; (<b>C</b>) Plasma cholesterol level. The blood glucose level was examined with a blood glucose meter while the total cholesterol concentration was monitored with a commercial kit. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 between this group and the vehicle group on day 15 (two-detail unpaired <span class="html-italic">t</span>-test); <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 between day 0 and day 15 in the same animal (two-detail paired <span class="html-italic">t</span>-test).</p>
Full article ">Figure 3
<p>A typical GC-MS/MS total ion chromatogram. This chromatogram was obtained from the plasma sample of a rat dosed with ISO using the Shimadzu Smart Metabolites Database.</p>
Full article ">Figure 4
<p>Combined principal component analysis (PCA) scores plot of RES (dark green), OXY (blue), PTS (carmine red), ISO (lime) and vehicle (light deep pink) groups in (<b>A</b>) liver, (<b>B</b>) heart, (<b>C</b>) brain or (<b>D</b>) plasma.</p>
Full article ">Figure 5
<p>PLS-DA scores plot comparing (<b>A</b>) RES, (<b>C</b>) PTS, (<b>E</b>) OXY and (<b>G</b>) ISO with vehicle in liver. Permutation graphs for PLS-DA model in hepatic samples: (<b>B</b>) RES, (<b>D</b>) PTS, (<b>F</b>) OXY and (<b>H</b>) ISO.</p>
Full article ">Figure 6
<p>Fold-change heatmap of hepatic metabolites after subjecting fold changes to log 2 transformation and hierarchical clustering via Euclidean distance (blue, white and red colors represent negative, no and positive fold-change, respectively; the darkness of the color represents the degree of fold change). * Indicates that changes in endogenous metabolites are statistically significant (VIP &gt; 1 and FDR &lt; 0.05).</p>
Full article ">Figure 6 Cont.
<p>Fold-change heatmap of hepatic metabolites after subjecting fold changes to log 2 transformation and hierarchical clustering via Euclidean distance (blue, white and red colors represent negative, no and positive fold-change, respectively; the darkness of the color represents the degree of fold change). * Indicates that changes in endogenous metabolites are statistically significant (VIP &gt; 1 and FDR &lt; 0.05).</p>
Full article ">Figure 7
<p>Metabolic pathway analysis in hepatic samples: (<b>A</b>) RES, (<b>B</b>) PTS, (<b>C</b>) OXY and (<b>D</b>) ISO.</p>
Full article ">Figure 8
<p>Fold-change heatmap of cardiac metabolites after subjecting fold changes to log 2 transformation and hierarchical clustering via Euclidean distance (blue, white and red colors represent negative, no and positive fold-change, respectively; the darkness of the color represents the degree of fold change). * Altered endogenous metabolites that were statistically significant (VIP &gt; 1 and FDR &lt; 0.05).</p>
Full article ">Figure 8 Cont.
<p>Fold-change heatmap of cardiac metabolites after subjecting fold changes to log 2 transformation and hierarchical clustering via Euclidean distance (blue, white and red colors represent negative, no and positive fold-change, respectively; the darkness of the color represents the degree of fold change). * Altered endogenous metabolites that were statistically significant (VIP &gt; 1 and FDR &lt; 0.05).</p>
Full article ">Figure 9
<p>Metabolic pathway analysis in cardiac samples: (<b>A</b>) RES, (<b>B</b>) PTS, (<b>C</b>) OXY and (<b>D</b>) ISO.</p>
Full article ">Figure 10
<p>Fold-change heatmap of brain metabolites after subjecting fold changes to log 2 transformation and hierarchical clustering via Euclidean distance (blue, white and red colors represent negative, no and positive fold change, respectively; the darkness of the color represents the degree of fold change). * Altered endogenous metabolites that were statistically significant (VIP &gt; 1 and FDR &lt; 0.05).</p>
Full article ">Figure 10 Cont.
<p>Fold-change heatmap of brain metabolites after subjecting fold changes to log 2 transformation and hierarchical clustering via Euclidean distance (blue, white and red colors represent negative, no and positive fold change, respectively; the darkness of the color represents the degree of fold change). * Altered endogenous metabolites that were statistically significant (VIP &gt; 1 and FDR &lt; 0.05).</p>
Full article ">Figure 11
<p>Metabolic pathway analysis in brain samples: (<b>A</b>) RES, (<b>B</b>) PTS, (<b>C</b>) OXY and (<b>D</b>) ISO.</p>
Full article ">Figure 12
<p>Fold-change heatmap of plasma metabolites after subjecting fold changes to log 2 transformation and hierarchical clustering via Euclidean distance (blue, white and red colors represent negative, no and positive fold change, respectively; the darkness of the color represents the degree of fold change). * Altered endogenous metabolites that were statistically significant (VIP &gt; 1 and FDR &lt; 0.05).</p>
Full article ">Figure 12 Cont.
<p>Fold-change heatmap of plasma metabolites after subjecting fold changes to log 2 transformation and hierarchical clustering via Euclidean distance (blue, white and red colors represent negative, no and positive fold change, respectively; the darkness of the color represents the degree of fold change). * Altered endogenous metabolites that were statistically significant (VIP &gt; 1 and FDR &lt; 0.05).</p>
Full article ">Figure 13
<p>Metabolic pathway analysis in plasma samples: (<b>A</b>) RES, (<b>B</b>) PTS, (<b>C</b>) ISO.</p>
Full article ">
15 pages, 3366 KiB  
Article
Identification of the Hypoglycemic Active Components of Lonicera japonica Thunb. and Lonicera hypoglauca Miq. by UPLC-Q-TOF-MS
by Qinxuan Wu, Di Zhao, Ying Leng, Canhui Chen, Kunyu Xiao, Zhaoquan Wu and Fengming Chen
Molecules 2024, 29(20), 4848; https://doi.org/10.3390/molecules29204848 - 13 Oct 2024
Viewed by 293
Abstract
Lonicera japonica Thunb. and Lonicera hypoglauca are famous Chinese medicines used for hyperglycemia; however, the specific compounds that contributed to the hypoglycemic activity and mechanism are still unknown. In this study, the antidiabetic activity of L. japonica buds and L. hypoglauca buds, roots, [...] Read more.
Lonicera japonica Thunb. and Lonicera hypoglauca are famous Chinese medicines used for hyperglycemia; however, the specific compounds that contributed to the hypoglycemic activity and mechanism are still unknown. In this study, the antidiabetic activity of L. japonica buds and L. hypoglauca buds, roots, stems, and leaves extracts was primarily evaluated, and the L. japonica buds and L. hypoglauca buds, roots, and stems extracts displayed significant hypoglycemic activity, especially for the buds of L. hypoglauca. A total of 72 high-level compounds, including 9 iridoid glycosides, 12 flavonoids, 34 organic acids, and 17 saponins, were identified by ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) combined with the fragmentation pathways of standards from different parts of L. japonica and L. hypoglauca extracts. Among them, 19 metabolites, including 13 saponins, were reported for the first time from both medicines. Seven high-content compounds identified from L. hypoglauca buds extract were further evaluated for hypoglycemic activity. The result indicated that neochlorogenic acid, chlorogenic acid, isochlorogenic acid A, isochlorogenic acid B, and isochlorogenic acid C displayed significant antidiabetic activity, especially for isochlorogenic acid A and isochlorogenic acid C, which demonstrated that the five chlorogenic-acid-type compounds were the active ingredients of hypoglycemic activity for L. japonica and L. hypoglauca. The potential mechanism of hypoglycemic activity for isochlorogenic acid A and isochlorogenic acid C was inhibiting the intestinal α-glucosidase activity to block the supply of glucose. This study was the first to clarify the hypoglycemic active ingredients and potential mechanism of L. japonica and L. hypoglauca, providing new insights for the comprehensive utilization of both resources and the development of hypoglycemic drugs. Full article
Show Figures

Figure 1

Figure 1
<p>Effect of <span class="html-italic">L. japonica</span> buds, <span class="html-italic">L. hypoglauca</span> buds, roots, stems, leaves extract, and monomeric compounds on blood glucose concentrations. (<b>A</b>) The hypoglycemic activity of <span class="html-italic">L. japonica</span> buds, <span class="html-italic">L. hypoglauca</span> buds, roots, stems, and leaves extracts; (<b>B</b>) the hypoglycemic activity of 7 high-content compounds from the extracts; (<b>C</b>) the postprandial glycemia of administration of isochlorogenic acid A (IA-A) and isochlorogenic acid C (IA-C) for the normal mice. <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01 compared with the normal control group on the same days. * <span class="html-italic">p</span> &lt; 0.05 or ** <span class="html-italic">p</span> &lt; 0.01 compared with the data at day 0; <sup>▽</sup> <span class="html-italic">p</span> &lt; 0.05 or <sup>▽▽</sup> <span class="html-italic">p</span> &lt; 0.01 compared with the model control group on the same days. NC: normal group; MC: model group; Acarbose group (positive control, 30 mg/kg); LJ-B: <span class="html-italic">L. japonica</span> buds group (200 mg/kg); LH-B: <span class="html-italic">L. hypoglauca</span> buds group (200 mg/kg); LH-R: <span class="html-italic">L. hypoglauca</span> roots group (200 mg/kg); LH-S: <span class="html-italic">L. hypoglauca</span> stems group (200 mg/kg); LH-L: <span class="html-italic">L. hypoglauca</span> leaves group (200 mg/kg); NE-A: neochlorogenic acid group (30 mg/kg); CH-A: chlorogenic acid group (30 mg/kg); CR-A: cryptochlorogenic acid group (30 mg/kg); SE: secoxyloganin group (30 mg/kg); IA-A: isochlorogenic acid A group (30 mg/kg); IA-B: isochlorogenic acid B group (30 mg/kg); and IA-C: isochlorogenic acid C group (30 mg/kg).</p>
Full article ">Figure 2
<p>The TICs of <span class="html-italic">L. japonica</span> buds (<b>A</b>), <span class="html-italic">L. hypoglauca</span> buds (<b>B</b>), roots (<b>C</b>), stems (<b>D</b>), and leaves (<b>E</b>).</p>
Full article ">Figure 3
<p>The TICs of <span class="html-italic">L. japonica</span> buds (<b>A</b>), neochlorogenic acid (<b>B</b>), chlorogenic acid (<b>C</b>), cryptochlorogenic acid (<b>D</b>), secoxyloganin (<b>E</b>), isochlorogenic acid B (<b>F</b>), isochlorogenic acid A (<b>G</b>), and isochlorogenic acid C (<b>H</b>).</p>
Full article ">Figure 4
<p>The MS/MS spectra of neochlorogenic acid (<b>A</b>), chlorogenic acid (<b>B</b>), cryptochlorogenic acid (<b>C</b>), isochlorogenic acid B (<b>D</b>), isochlorogenic acid A (<b>E</b>), isochlorogenic acid C (<b>F</b>), and secoxyloganin (<b>G</b>), and the corresponding characteristic ions and fragmentation pathways.</p>
Full article ">Figure 5
<p>The identification of compounds <b>14</b> (<b>A</b>), <b>30</b> (<b>B</b>), <b>52</b> (<b>C</b>), and <b>63</b> (<b>D</b>) according to their MS/MS spectra and the corresponding characteristic fragment ions.</p>
Full article ">
15 pages, 2807 KiB  
Article
Application of Fabric Phase Sorptive Extraction as a Green Method for the Analysis of 10 Anti-Diabetic Drugs in Environmental Water Samples
by Augosto Misolas, Mohamad Sleiman and Vasilios Sakkas
Molecules 2024, 29(20), 4834; https://doi.org/10.3390/molecules29204834 - 12 Oct 2024
Viewed by 318
Abstract
Due to the increased prevalence of diabetes, the consumption of anti-diabetic drugs for its treatment has likewise increased. Metformin is an anti-diabetic drug that is commonly prescribed for patients with type 2 diabetes and has been frequently detected in surface water and wastewaters, [...] Read more.
Due to the increased prevalence of diabetes, the consumption of anti-diabetic drugs for its treatment has likewise increased. Metformin is an anti-diabetic drug that is commonly prescribed for patients with type 2 diabetes and has been frequently detected in surface water and wastewaters, thus representing an emerging contaminant. Metformin can be prescribed in combination with other classes of anti-diabetic drugs; however, these drugs are not sufficiently investigated in environmental samples. Fabric phase sorptive extraction (FPSE) has emerged as a simple and green method for the extraction of analytes in environmental samples. In this study, FPSE coupled with a high-performance liquid chromatography diode array detector (HPLC-DAD) was employed for the simultaneous analysis of different classes of anti-diabetic drugs (metformin, dapagliflozin, liraglutide, pioglitazone, gliclazide, glimepiride, glargine, repaglinide, sitagliptin, and vildagliptin) in environmental water samples. Four different fabric membranes were synthesized but the microfiber glass filter coated with sol-gel polyethylene glycol (PEG 300) was observed to be the best FPSE membrane. The parameters affecting the FPSE process were optimized using a combination of one-factor-at-a-time processes and the design of experiments. The FPSE was evaluated as a green extraction method, based on green sample preparation criteria. The FPSE-HPLC-DAD method achieved acceptable validation results and was applied for the simultaneous analysis of anti-diabetic drugs in surface and wastewater samples. Glimepiride was detected below the quantification limit in both lake and river water samples. Dapagliflozin, liraglutide, and glimepiride were detected at 69.0 ± 1.0 μg·L−1, 71.9 ± 0.4 μg·L−1, and 93.9 ± 1.3 μg·L−1, respectively, in the city wastewater influent. Dapagliflozin and glimepiride were still detected below the quantification limit in city wastewater effluent. For the hospital wastewater influent, metformin and glimepiride were detected at 1158 ± 21 μg·L−1 and 28 ± 0.8 μg·L−1, respectively, while only metformin (392.6 ± 7.7 μg·L−1) was detected in hospital wastewater effluent. Full article
Show Figures

Figure 1

Figure 1
<p>Preliminary experiments for the FPSE of 10 anti-diabetic drugs drawn from water, assessing the effect of FPSE membrane type (<b>A</b>), pH of the sample (<b>B</b>), and agitation mode (<b>C</b>) on the adsorption efficiencies, and the effect of the desorption solvent (<b>D</b>) on the extraction recoveries. Error bars represent the standard deviation of triplicates. Analytes: MET—metformin, DAP—dapagliflozin, LIR—liraglutide, PIO—pioglitazone, GLC—gliclazide, GLM—glimepiride, GLA—glargine, REP—repaglinide, VIL—vildagliptin, SIT—sitagliptin.</p>
Full article ">Figure 1 Cont.
<p>Preliminary experiments for the FPSE of 10 anti-diabetic drugs drawn from water, assessing the effect of FPSE membrane type (<b>A</b>), pH of the sample (<b>B</b>), and agitation mode (<b>C</b>) on the adsorption efficiencies, and the effect of the desorption solvent (<b>D</b>) on the extraction recoveries. Error bars represent the standard deviation of triplicates. Analytes: MET—metformin, DAP—dapagliflozin, LIR—liraglutide, PIO—pioglitazone, GLC—gliclazide, GLM—glimepiride, GLA—glargine, REP—repaglinide, VIL—vildagliptin, SIT—sitagliptin.</p>
Full article ">Figure 2
<p>Pareto charts and response surface plots for FPSE adsorption (<b>A</b>,<b>B</b>) and desorption (<b>C</b>,<b>D</b>) using a Box–Behnken design.</p>
Full article ">Figure 2 Cont.
<p>Pareto charts and response surface plots for FPSE adsorption (<b>A</b>,<b>B</b>) and desorption (<b>C</b>,<b>D</b>) using a Box–Behnken design.</p>
Full article ">Figure 3
<p>Overlay of HPLC chromatograms for the undiluted unspiked hospital WWTP influent (black), spiked with 50 μg·L<sup>−1</sup> (blue), and spiked with 300 μg·L<sup>−1</sup> (pink), after application (without dilution) of the proposed FPSE-HPLC under optimized conditions at a 224 nm wavelength. Peaks: 1—MET, 2—DAP, 3—LIR, 4—GLA, 5—PIO, 6—GLC, 7—GLM, and 8—REP.</p>
Full article ">Figure 4
<p>Evaluation of the method’s greenness based on the AGREEprep (<b>A</b>) and AGREE (<b>B</b>) metric tools. AGREEprep criteria: 1—sample preparation, 2—solvents, 3—sustainable materials, 4—waste, 5—sample size, 6—sample throughput, 7—sample steps and automation, 8—energy consumption, 9—post-sample preparation, and 10—operator safety. AGREE criteria: 1—sample treatment, 2—sample size, 3—device positioning, 4—sample preparation steps, 5—automation and miniaturization, 6—derivatization, 7—waste generation, 8—analysis throughput, 9—energy consumption, 10—source of reagents, 11—toxicity, and 12—operator safety.</p>
Full article ">
34 pages, 1167 KiB  
Review
Potential Applications of the Anti-Inflammatory, Antithrombotic and Antioxidant Health-Promoting Properties of Curcumin: A Critical Review
by Elli Rapti, Theodora Adamantidi, Pavlos Efthymiopoulos, George Z. Kyzas and Alexandros Tsoupras
Nutraceuticals 2024, 4(4), 562-595; https://doi.org/10.3390/nutraceuticals4040031 (registering DOI) - 11 Oct 2024
Viewed by 972
Abstract
The major constituent of turmeric, curcumin, is a bioactive phenolic compound that has been studied for its potential health benefits and therapeutic properties. Within this article, the anti-inflammatory, antioxidant and antithrombotic properties and mechanisms of action of curcumin are thoroughly reviewed and the [...] Read more.
The major constituent of turmeric, curcumin, is a bioactive phenolic compound that has been studied for its potential health benefits and therapeutic properties. Within this article, the anti-inflammatory, antioxidant and antithrombotic properties and mechanisms of action of curcumin are thoroughly reviewed and the main focus is shifted to its associated health-promoting effects against inflammation-related chronic disorders. An overview of the cardio-protective, anti-tumor, anti-diabetic, anti-obesity, anti-microbial and neuro–protective health-promoting properties of curcumin are thoroughly reviewed, while relative outcomes obtained from clinical trials are also presented. Emphasis is given to the wound-healing properties of curcumin, as presented by several studies and clinical trials, which further promote the application of curcumin as a bioactive ingredient in several functional products, including functional foods, nutraceuticals, cosmetics and drugs. Limitations and future perspectives of such uses of curcumin as a bio-functional ingredient are also discussed. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>A glimpse of the multifaceted activities of curcumin.</p>
Full article ">Figure 2
<p>Global curcumin market by application.</p>
Full article ">Figure 3
<p>Curcumin utilized forms, applications and health-promoting properties.</p>
Full article ">Figure 4
<p>Curcumin’s antioxidant, anti-inflammatory and anticancer properties.</p>
Full article ">
12 pages, 1189 KiB  
Article
Physicochemical, Antioxidant, Organoleptic, and Anti-Diabetic Properties of Innovative Beef Burgers Enriched with Juices of Açaí (Euterpe oleracea Mart.) and Sea Buckthorn (Hippophae rhamnoides L.) Berries
by Anna Wojtaszek, Anna Marietta Salejda, Agnieszka Nawirska-Olszańska, Aleksandra Zambrowicz, Aleksandra Szmaja and Jagoda Ambrozik-Haba
Foods 2024, 13(19), 3209; https://doi.org/10.3390/foods13193209 - 9 Oct 2024
Viewed by 751
Abstract
Background: The aim of this study was to evaluate the selected quality parameters of innovative beef burgers produced with the addition of açaí and/or sea buckthorn berry juices. Methods: Five variants of innovative burgers were obtained, differing in the proportion of juices in [...] Read more.
Background: The aim of this study was to evaluate the selected quality parameters of innovative beef burgers produced with the addition of açaí and/or sea buckthorn berry juices. Methods: Five variants of innovative burgers were obtained, differing in the proportion of juices in the recipe. The pH of meat stuffing, thermal losses, production yield, color (CIE L*a*b*), content of polyphenolic compounds, degree of oxidation of the lipid fraction (TBARS), and antioxidant activity against ABTS radicals were determined. Anti-diabetic activity was measured as the ability to inhibit α-glucosidase and dipeptidyl peptidase−4 activity. A sensory evaluation was also performed. Results: Beef burgers formulated with açaí and sea buckthorn juices had up to five times higher total polyphenol content than burgers without added juices. The addition of the juices increased antioxidant activity against ABTS radicals (from 42 to 440 µmol/L/100 g) and effectively inhibited oxidation of the lipid fraction of the beef burgers. Recipe modifications resulted in changes in the color parameters of the beef burgers and had a positive effect on the sensory quality attributes evaluated. Beef burgers containing 0.5 g of açaí juice and 1.0 g of sea buckthorn juice were rated the best in terms of acceptability of appearance, aroma, color, juiciness, and tenderness. The addition of açaí and sea buckthorn juice did not increase the inhibitory activity against α-glucosidase and dipeptidyl peptidase-IV of the innovative beef burgers. Conclusions: The proposed recipe modification may be an effective way to fortify beef burgers with phytochemicals with antioxidant properties while maintaining their sensory properties. Full article
(This article belongs to the Section Nutraceuticals, Functional Foods, and Novel Foods)
Show Figures

Figure 1

Figure 1
<p>pH values of the meat mass for innovative beef burgers. a–d—means with superscript for the same parameter differ significantly at the level of <span class="html-italic">p</span> ≤ 0.05.</p>
Full article ">Figure 2
<p>TBARS values of innovative beef burgers.</p>
Full article ">Figure 3
<p>L*, a*, and b* values of innovative beef burgers.</p>
Full article ">Figure 4
<p>Results of organoleptic evaluation of innovative beef burgers.</p>
Full article ">
77 pages, 5194 KiB  
Review
A Comprehensive Review of Moroccan Medicinal Plants for Diabetes Management
by Hanane Boutaj
Diseases 2024, 12(10), 246; https://doi.org/10.3390/diseases12100246 - 9 Oct 2024
Viewed by 704
Abstract
Moroccan flora, renowned for its diverse medicinal plant species, has long been used in traditional medicine to manage diabetes. This review synthesizes ethnobotanical surveys conducted during the last two decades. Among these plants, 10 prominent Moroccan medicinal plants are evaluated for their phytochemical [...] Read more.
Moroccan flora, renowned for its diverse medicinal plant species, has long been used in traditional medicine to manage diabetes. This review synthesizes ethnobotanical surveys conducted during the last two decades. Among these plants, 10 prominent Moroccan medicinal plants are evaluated for their phytochemical composition and antidiabetic properties through both in vitro and in vivo studies. The review encompasses a comprehensive analysis of the bioactive compounds identified in these plants, including flavonoids, phenolic acids, terpenoids, and alkaloids. Phytochemical investigations revealed a broad spectrum of secondary metabolites contributing to their therapeutic efficacy. In vitro assays demonstrated the significant inhibition of key enzymes α-amylase and α-glucosidase, while in vivo studies highlighted their potential in reducing blood glucose levels and enhancing insulin secretion. Among the ten plants, notable examples include Trigonella foenum-graecum, Nigella Sativa, and Artemisia herba-alba, each showcasing distinct mechanisms of action, such as enzymatic inhibition and the modulation of glucose metabolism pathways. This review underscores the necessity for further chemical, pharmacological, and clinical research to validate the antidiabetic efficacy of these plants and their active compounds, with a view toward their potential integration into therapeutic practices. Full article
Show Figures

Figure 1

Figure 1
<p>The botanical families used for diabetes management in Morocco.</p>
Full article ">Figure 2
<p>The distribution of plants species families per Moroccan regions.</p>
Full article ">Figure 3
<p>The distribution of plants species per Moroccan regions.</p>
Full article ">Figure 4
<p>The distribution of plants species origin per Moroccan regions.</p>
Full article ">Figure 5
<p>The distribution of the percentage of different parts used for diabetes management in Morocco.</p>
Full article ">Figure 6
<p>The distribution of the percentage of different preparation methods used for diabetes management in Morocco.</p>
Full article ">Figure 7
<p>Most useful medicinal plants for diabetes management. (<bold>A</bold>) <italic>T. foenum-graecum</italic>, (<bold>B</bold>) <italic>N. oleander</italic>, (<bold>C</bold>) <italic>S. officinalis</italic>, (<bold>D</bold>) <italic>O. europeae</italic>, (<bold>E</bold>) <italic>N. sativa</italic>, and (<bold>F</bold>) <italic>M. vulgare</italic>.</p>
Full article ">Figure 8
<p>Chemical structures of the known natural compounds useful against diabetes.</p>
Full article ">
49 pages, 7930 KiB  
Review
Indole Derivatives: A Versatile Scaffold in Modern Drug Discovery—An Updated Review on Their Multifaceted Therapeutic Applications (2020–2024)
by Xingyou Mo, Devendra Pratap Rao, Kirandeep Kaur, Roket Hassan, Ahmed S. Abdel-Samea, Sara Mahmoud Farhan, Stefan Bräse and Hamada Hashem
Molecules 2024, 29(19), 4770; https://doi.org/10.3390/molecules29194770 - 9 Oct 2024
Viewed by 1329
Abstract
Indole derivatives have become an important class of compounds in medicinal chemistry, recognized for their wide-ranging biological activities and therapeutic potential. This review provides a comprehensive overview of recent advances in the evaluation of indole-based compounds in the last five years, highlighting their [...] Read more.
Indole derivatives have become an important class of compounds in medicinal chemistry, recognized for their wide-ranging biological activities and therapeutic potential. This review provides a comprehensive overview of recent advances in the evaluation of indole-based compounds in the last five years, highlighting their roles in cancer treatment, infectious disease management, anti-inflammatory therapies, metabolic disorder interventions, and neurodegenerative disease management. Indole derivatives have shown significant efficacy in targeting diverse biological pathways, making them valuable scaffolds in designing new drugs. Notably, these compounds have demonstrated the ability to combat drug-resistant cancer cells and pathogens, a significant breakthrough in the field, and offer promising therapeutic options for chronic diseases such as diabetes and hypertension. By summarizing recent key findings and exploring the underlying biological mechanisms, this review underscores the potential of indole derivatives in addressing major healthcare challenges, thereby instilling hope and optimism in the field of modern medicine. Full article
(This article belongs to the Special Issue Heterocycles in Medicinal Chemistry III)
Show Figures

Figure 1

Figure 1
<p>Tautomeric structures of the indole ring.</p>
Full article ">Figure 2
<p>Different natural and commercially available indole derivatives and their biological activities.</p>
Full article ">Figure 3
<p>Different mechanisms of indole derivatives as anticancer agents.</p>
Full article ">Figure 4
<p>Structures of compounds <b>1</b>−<b>14</b> as tubulin polymerization inhibitors.</p>
Full article ">Figure 5
<p>Structures of compounds <b>15</b>–<b>27</b> as protein kinase inhibitors.</p>
Full article ">Figure 6
<p>Structures of compounds <b>28</b>–<b>30</b> as Bcl-2 inhibitors.</p>
Full article ">Figure 7
<p>Structures of compounds <b>31</b>–<b>36</b> as CA inhibitors.</p>
Full article ">Figure 8
<p>Structures of compounds <b>37</b>–<b>41</b> as anticancer agents.</p>
Full article ">Figure 9
<p>Structures of compounds <b>42</b>–<b>45</b> as anticancer agents.</p>
Full article ">Figure 10
<p>Structures of compounds <b>46</b>–<b>55</b> as anticancer agents.</p>
Full article ">Figure 11
<p>Indole derivatives as antibacterial agents.</p>
Full article ">Figure 12
<p>Structures of compounds <b>56</b>–<b>67</b> as anti-tubercular agents.</p>
Full article ">Figure 13
<p>Structures of compounds <b>68</b>–<b>72</b> as antibacterial agents.</p>
Full article ">Figure 14
<p>Structures of compounds <b>74</b>–<b>81</b> as antibacterial and antifungal agents.</p>
Full article ">Figure 15
<p>Indole derivatives as antifungal and antiviral agents.</p>
Full article ">Figure 16
<p>Structures of compounds <b>82</b>–<b>90</b> as antiviral agents against SARS-CoV-2.</p>
Full article ">Figure 17
<p>Structures of compounds <b>91</b>–<b>100</b> as antiviral agents.</p>
Full article ">Figure 18
<p>Different mechanisms of indole derivatives with anti-inflammatory activities.</p>
Full article ">Figure 19
<p>Structures of compounds <b>101</b>–<b>120</b> as anti-inflammatory agents.</p>
Full article ">Figure 20
<p>Different mechanisms of indole derivatives with antidiabetic activity.</p>
Full article ">Figure 21
<p>Structures of compounds <b>121</b>–<b>141</b> as antidiabetic agents.</p>
Full article ">Figure 22
<p>Structures of compounds <b>142</b>–<b>148</b> as antidiabetic agents.</p>
Full article ">Figure 23
<p>Structures of compounds <b>149</b>–<b>157</b> as cholinesterase inhibitors.</p>
Full article ">Figure 24
<p>Structures of compounds <b>158</b>–<b>165</b> as cholinesterase inhibitors.</p>
Full article ">Figure 25
<p>Structures of compounds <b>166</b>–<b>172</b> targeting neurodegenerative diseases.</p>
Full article ">Figure 26
<p>Structures of compounds <b>173</b>–<b>175</b> with antihypertensive properties.</p>
Full article ">
20 pages, 7902 KiB  
Article
Analysis of the Setomimycin Biosynthetic Gene Cluster from Streptomyces nojiriensis JCM3382 and Evaluation of Its α-Glucosidase Inhibitory Activity Using Molecular Docking and Molecular Dynamics Simulations
by Kyung-A Hyun, Xuhui Liang, Yang Xu, Seung-Young Kim, Kyung-Hwan Boo, Jin-Soo Park, Won-Jae Chi and Chang-Gu Hyun
Int. J. Mol. Sci. 2024, 25(19), 10758; https://doi.org/10.3390/ijms251910758 - 6 Oct 2024
Viewed by 562
Abstract
The formation of atroposelective biaryl compounds in plants and fungi is well understood; however, polyketide aglycone synthesis and dimerization in bacteria remain unclear. Thus, the biosynthetic gene cluster (BGC) responsible for antibacterial setomimycin production from Streptomyces nojiriensis JCM3382 was examined in comparison with [...] Read more.
The formation of atroposelective biaryl compounds in plants and fungi is well understood; however, polyketide aglycone synthesis and dimerization in bacteria remain unclear. Thus, the biosynthetic gene cluster (BGC) responsible for antibacterial setomimycin production from Streptomyces nojiriensis JCM3382 was examined in comparison with the BGCs of spectomycin, julichromes, lincolnenins, and huanglongmycin. The setomimycin BGC includes post-polyketide synthase (PKS) assembly/cycling enzymes StmD (C-9 ketoreductase), StmE (aromatase), and StmF (thioesterase) as key components. The heterodimeric TcmI-like cyclases StmH and StmK are proposed to aid in forming the setomimycin monomer. In addition, StmI (P-450) is predicted to catalyze the biaryl coupling of two monomeric setomimycin units, with StmM (ferredoxin) specific to the setomimycin BGC. The roles of StmL and StmN, part of the nuclear transport factor 2 (NTF-2)-like protein family and unique to setomimycin BGCs, could particularly interest biochemists and combinatorial biologists. α-Glucosidase, a key enzyme in type 2 diabetes, hydrolyzes carbohydrates into glucose, thereby elevating blood glucose levels. This study aimed to assess the α-glucosidase inhibitory activity of EtOAc extracts of JCM 3382 and setomimycin. The JCM 3382 EtOAc extract and setomimycin exhibited greater potency than the standard inhibitor, acarbose, with IC50 values of 285.14 ± 2.04 μg/mL and 231.26 ± 0.41 μM, respectively. Molecular docking demonstrated two hydrogen bonds with maltase-glucoamylase chain A residues Thr205 and Lys480 (binding energy = −6.8 kcal·mol−1), two π–π interactions with Trp406 and Phe450, and one π–cation interaction with Asp542. Residue-energy analysis highlighted Trp406 and Phe450 as key in setomimycin’s binding to maltase-glucoamylase. These findings suggest that setomimycin is a promising candidate for further enzymological research and potential antidiabetic therapy. Full article
Show Figures

Figure 1

Figure 1
<p>Structures of nonaketide-derived polyketides: setomimycin (<b>1</b>), lincolnenins A (<b>2</b>), julichromes Q3.3 (<b>3</b>), spectomycin A1 (<b>4</b>), and huanglongmycin A (<b>5</b>).</p>
Full article ">Figure 2
<p>Predicted gene organization of setomimycin BGCs from <span class="html-italic">S. nojiriensis</span> JCM 3382 (Stm), <span class="html-italic">S. aurantiacus</span> JA4570 (Set), and <span class="html-italic">S. justiciae</span> RA-WS2 (Sem). Genes are color-coded according to their proposed functions. Brown, amber, purple, green, blue, and gray represent minimal PKS, cyclization, dimerization, regulation, resistance, and unknown functions, respectively.</p>
Full article ">Figure 3
<p>The proposed pathway for setomimycin biosynthesis in <span class="html-italic">S. nojiriensis</span> JCM 3382 was consistent with the data generated in this study. StmL and StmN are heterodimeric proteins with high similarity to NTP-2 family proteins. Further research is needed to elucidate their roles in setomimycin biosynthesis. The putative functions of each gene for the setomimycin BGC are shown in <a href="#app1-ijms-25-10758" class="html-app">Table S2</a>.</p>
Full article ">Figure 4
<p>α-Glucosidase inhibition activity of different concentrations of acarbose (<b>a</b>,<b>c</b>), JCM3382 EtOAc extracts (<b>b</b>), and setomimycin (<b>d</b>) in the presence of p-NPG. JCM3382 EtOAc extracts (<b>b</b>) and setomimycin (<b>d</b>) showed lower IC<sub>50</sub> than each positive control acarbose (<b>a</b>,<b>c</b>). Data are presented as the mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001 compare with not-treated group.</p>
Full article ">Figure 5
<p>Binding interactions of MGAM protein with ligands. (<b>a</b>) MGAM–co-crystallized ligand; (<b>b</b>) MGAM–setomimycin.</p>
Full article ">Figure 6
<p>Analysis of the MD simulation results. (<b>a</b>) RMSD and (<b>b</b>) RMSF curves.</p>
Full article ">Figure 7
<p>Analysis of the MD simulation results. (<b>a</b>) Rg curves; (<b>b</b>) H-bond plot; (<b>c</b>) SASA plot.</p>
Full article ">Figure 8
<p>The Gibbs FEL plots. (<b>a</b>) MGAM–co-crystallized ligand; (<b>b</b>) MGAM–setomimycin.</p>
Full article ">Figure 9
<p>MM-PBSA binding energy plots. (<b>a</b>) MGAM–co-crystallized ligand; (<b>b</b>) MGAM–setomimycin. VDWAALS, EEL, EGB, ESURF, GGAS, GSOLV, and TOTAL denote specific energy terms in MD simulations: van der Waals interactions, electrostatic energy, polar solvation energy, nonpolar solvation energy, molecular mechanics, solvation energy, and average binding free energy, respectively.</p>
Full article ">Figure 10
<p>Residue-energy plots. (<b>a</b>) MGAM ligand; (<b>b</b>) MGAM–setomimycin.</p>
Full article ">Figure 11
<p>Conformation plots of the complexes. (<b>a</b>) MGAM ligand; (<b>b</b>) MGAM–setomimycin. The configurations at different time points are represented as follows: 0 ns (green), 25 ns (blue), 50 ns (brown), 75 ns (yellow), and 100 ns (red).</p>
Full article ">
22 pages, 1520 KiB  
Review
The Role of Lactic Acid Bacteria in Meat Products, Not Just as Starter Cultures
by Kayque Ordonho Carneiro, Gabriela Zampieri Campos, João Marcos Scafuro Lima, Ramon da Silva Rocha, Manuela Vaz-Velho and Svetoslav Dimitrov Todorov
Foods 2024, 13(19), 3170; https://doi.org/10.3390/foods13193170 - 6 Oct 2024
Viewed by 657
Abstract
Lactic acid bacteria (LABs) are microorganisms of significant scientific and industrial importance and have great potential for application in meat and meat products. This comprehensive review addresses the main characteristics of LABs, their nutritional, functional, and technological benefits, and especially their importance not [...] Read more.
Lactic acid bacteria (LABs) are microorganisms of significant scientific and industrial importance and have great potential for application in meat and meat products. This comprehensive review addresses the main characteristics of LABs, their nutritional, functional, and technological benefits, and especially their importance not only as starter cultures. LABs produce several metabolites during their fermentation process, which include bioactive compounds, such as peptides with antimicrobial, antidiabetic, antihypertensive, and immunomodulatory properties. These metabolites present several benefits as health promoters but are also important from a technological point of view. For example, bacteriocins, organic acids, and other compounds are of great importance, whether from a sensory or product quality or a safety point of view. With the production of GABA, exopolysaccharides, antioxidants, and vitamins are beneficial metabolites that influence safety, technological processes, and even health-promoting consumer benefits. Despite the benefits, this review also highlights that some LABs may present virulence properties, requiring critical evaluation for using specific strains in food formulations. Overall, this review hopes to contribute to the scientific literature by increasing knowledge of the various benefits of LABs in meat and meat products. Full article
(This article belongs to the Special Issue Bio-Functional Properties of Lactic Acid Bacteria in Functional Foods)
Show Figures

Figure 1

Figure 1
<p>Beneficial properties of lactic acid bacteria, from the essential driver of the fermentation processes and contributors to the technological properties of the final products to important players in the control of spoilage and pathogens and providing probiotic (and postbiotics) benefits for the consumers.</p>
Full article ">Figure 2
<p>General areas for effects of the bioactive peptides produced by lactic acid bacteria.</p>
Full article ">Figure 3
<p>Some of the areas of application of bacteriocins produced by lactic acid bacteria. From simple killing metabolites closely related to the producer’s spoilage and pathogens to potential sophisticated pharmaceuticals with application in the control of viruses, <span class="html-italic">Mycobacterium</span> spp., and cancer cells.</p>
Full article ">
Back to TopTop