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20 pages, 783 KiB  
Article
The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota
by Bezawit E. Kase, Angela D. Liese, Jiajia Zhang, Elizabeth Angela Murphy, Longgang Zhao and Susan E. Steck
Nutrients 2024, 16(7), 1045; https://doi.org/10.3390/nu16071045 - 3 Apr 2024
Viewed by 2014
Abstract
The aim of the study was to develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. We conducted a literature review of longitudinal studies on the association of diet with gut microbiota [...] Read more.
The aim of the study was to develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. We conducted a literature review of longitudinal studies on the association of diet with gut microbiota in adult populations and extracted those dietary components with evidence of beneficial or unfavorable effects. Dietary recall data from the National Health and Nutrition Examination Survey (NHANES, 2005–2010, n = 3812) were used to compute the DI-GM, and associations with biomarkers of gut microbiota diversity (urinary enterodiol and enterolactone) were examined using linear regression. From a review of 106 articles, 14 foods or nutrients were identified as components of the DI-GM, including fermented dairy, chickpeas, soybean, whole grains, fiber, cranberries, avocados, broccoli, coffee, and green tea as beneficial components, and red meat, processed meat, refined grains, and high-fat diet (≥40% of energy from fat) as unfavorable components. Each component was scored 0 or 1 based on sex-specific median intakes, and scores were summed to develop the overall DI-GM score. In the NHANES, DI-GM scores ranged from 0–13 with a mean of 4.8 (SE = 0.04). Positive associations between DI-GM and urinary enterodiol and enterolactone were observed. The association of the novel DI-GM with markers of gut microbiota diversity demonstrates the potential utility of this index for gut health-related studies. Full article
(This article belongs to the Special Issue Dietary Patterns, Dietary Intake, Dietary Behaviours and Health)
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<p>Prisma flow chart.</p>
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24 pages, 1294 KiB  
Review
The Perfect Cup? Coffee-Derived Polyphenols and Their Roles in Mitigating Factors Affecting Type 2 Diabetes Pathogenesis
by Brooke Chapple, Seth Woodfin and William Moore
Molecules 2024, 29(4), 751; https://doi.org/10.3390/molecules29040751 - 6 Feb 2024
Cited by 1 | Viewed by 2843
Abstract
Type 2 diabetes (T2D) is a growing health concern with an estimated 462 million people having been diagnosed worldwide. T2D is characterized by chronically elevated blood glucose and insulin resistance, which culminate in a diminished function of the β-cell mass in its later [...] Read more.
Type 2 diabetes (T2D) is a growing health concern with an estimated 462 million people having been diagnosed worldwide. T2D is characterized by chronically elevated blood glucose and insulin resistance, which culminate in a diminished function of the β-cell mass in its later stages. This can be perpetuated by and result in inflammation, excess reactive oxygen species production, obesity, and the dysregulation of multiple cellular pathways. Many naturally occurring small molecules have been investigated in terms of their roles in modulating glucose homeostasis and β-cell function. Many of these compounds can be found in commonly used sources of food and drink. Interestingly, a correlation has been observed between coffee consumption and T2D incidence. However, the specific compounds responsible for this correlation and their mechanisms are still somewhat undetermined. This paper reviews recent research findings on the effects of several polyphenols that are either found in coffee or are metabolites of compounds found in coffee (enterodiol, enterolactone, matairesinol, secoisolariciresinol, kaempferol, quercetin, and chlorogenic acid) on glucose homeostasis and health complications associated with glucose dysregulation, with a special emphasis on their potential anti-diabetic effects. The factors that affect polyphenol content in coffee are also addressed. Full article
(This article belongs to the Special Issue Natural Polyphenols in Human Health (Volume II))
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<p>Suggested mechanisms by which the reviewed compounds regulate blood glucose levels in adipose, skeletal muscle, and/or liver tissue.</p>
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<p>Select mechanisms by which the reviewed compounds decrease levels of pro-inflammatory cytokines, such as TNF-α, IL-1, or IL-6; minimize NF-κB expression; and promote healthy β-cell growth are indicated above.</p>
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19 pages, 4227 KiB  
Article
Flaxseed Lignan Alleviates the Paracetamol-Induced Hepatotoxicity Associated with Regulation of Gut Microbiota and Serum Metabolome
by Yongyan Ren, Zhenxia Xu, Zhixian Qiao, Xu Wang and Chen Yang
Nutrients 2024, 16(2), 295; https://doi.org/10.3390/nu16020295 - 18 Jan 2024
Cited by 2 | Viewed by 1677
Abstract
This study examined the protective effect of flaxseed lignans on liver damage caused by an overdose of paracetamol (PAM). The findings demonstrated that administering 800 mg/kg/d flaxseed lignan prior to PAM significantly decreased the serum aspartate aminotransferase (AST), alanine aminotransferase (ALT), and total [...] Read more.
This study examined the protective effect of flaxseed lignans on liver damage caused by an overdose of paracetamol (PAM). The findings demonstrated that administering 800 mg/kg/d flaxseed lignan prior to PAM significantly decreased the serum aspartate aminotransferase (AST), alanine aminotransferase (ALT), and total bilirubin (TBi) levels, while it increased liver superoxide dismutase (SOD) and glutathione (GSH) levels in mice. Flaxseed lignan renovated the gut microbiota dysbiosis induced by PAM by promoting the proliferation of sulfonolipid (SL) producing bacteria such as Alistipes and lignan-deglycosolating bacteria such as Ruminococcus while inhibiting the growth of opportunistic pathogen bacteria such as Acinetobacter and Clostridium. Furthermore, flaxseed lignan modulated the serum metabolomic profile after PAM administration, specifically in the taurine and hypotaurine metabolism, phenylalanine metabolism, and pyrimidine metabolism. The study identified eight potential biomarkers, including enterolactone, cervonyl carnitine, acutilobin, and PC (20:3(5Z, 8Z, 11Z)/20:0). Overall, the results suggest that flaxseed lignan can alleviate PAM-induced hepatotoxicity and may be beneficial in preventing drug-induced microbiome and metabolomic disorders. Full article
(This article belongs to the Section Clinical Nutrition)
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<p>Effect of SIM and flaxseed lignan on liver function in PAM-induced hepatoxicity mice. (<b>A</b>) Diagram of research experimental design. (<b>B</b>) Photomicrograph of hepatic tissue (200×, scale bar: 100 μm). (<b>C</b>) Serum levels of ALT, AST, and Tbi. (<b>D</b>) MDA, SOD, and GSH levels in the liver tissue. CV: central vein; N: necrosis; I: inflammation. * means <span class="html-italic">p</span> &lt; 0.05 when compared with NC group; # and ## means <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01 when compared with the PAM group, respectively; ns means <span class="html-italic">p</span> &gt; 0.05 when compared with the PAM group.</p>
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<p>Effects of SIM and flaxseed lignan on microbial diversity and structure in the fecal samples. (<b>A</b>) α-diversity indexes are presented by box plot. (<b>B</b>) Non-metric multidimensional scaling (NMDS) result based on unweighted UniFrac distance matrices. (<b>C</b>) The composition of the top 10 gut microbiota at the phylum level. (<b>D</b>) The composition of the top 10 gut microbiota at the genus level. ** means <span class="html-italic">p</span> &lt; 0.001 when compared with the PAM group.</p>
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<p>Analysis of significantly regulated intestinal microbiota by Lefse (<b>A</b>) and Metastats (<b>B</b>) between the two groups. Data (<span class="html-italic">n</span> = 9) are expressed as mean ± SEM. Only taxa meeting an LDA significant threshold &gt; 4 are shown.</p>
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<p>Multivariate statistical analysis of untargeted metabolomics data in the serum samples. (<b>A</b>) PCA score plot based on the combined positive and negative model data. (<b>B</b>) Superclass distribution of detected metabolites in all samples. (<b>C</b>) OPLS-DA analysis of three comparison groups: PAM vs. NC (<b>left</b>), SIM vs. PAM (<b>middle</b>), and flaxseed lignan vs. PAM (<b>right</b>).</p>
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<p>Differently expressed serum metabolites and pathways for SIM and flaxseed lignan pretreatment mice (positive ion combined with negative ion). (<b>A</b>) Volcano plots for the model-separated metabolites following the conditions of VIP &gt; 1 and <span class="html-italic">p</span> (corr) &lt; 0.01 with 95% jackknifed confidence intervals. PAM vs. NC (<b>upper</b>), SIM vs. PAM (<b>middle</b>), and flaxseed lignan vs. PAM (<b>bottom</b>). (<b>B</b>) Bubble plots for the KEGG pathway enrichment of the changed metabolites between each compared group. PAM vs. NC (<b>upper</b>), SIM vs. PAM (<b>middle</b>), and flaxseed lignan vs. PAM (<b>bottom</b>).</p>
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<p>Correlation among regulated gut microbiota, biochemical parameters, and changed metabolites. (<b>A</b>) Heatmap of Spearman’s correlation between changed bacterial taxa and biochemical parameters. (<b>B</b>) Pie network of Spearman’s correlation between changed bacterial taxa and regulated metabolites. Significant differences are indicated as * (<span class="html-italic">p</span> &lt; 0.05). Red lines indicate significantly positive correlation, green lines indicate significantly negative correlation.</p>
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1166 KiB  
Proceeding Paper
Natural Compound Honokiol and Its Application against Fulvestrant-Resistant Breast Cancer Cells: An In Vitro Challenge
by Ekaterina I. Mikhaevich, Danila V. Sorokin, Fedor B. Bogdanov and Alexander M. Scherbakov
Eng. Proc. 2023, 56(1), 141; https://doi.org/10.3390/ASEC2023-16622 - 12 Dec 2023
Viewed by 491
Abstract
The history of the use of natural compounds as therapeutic agents goes back many centuries. Being the first objects of interest in the early days of medicine, natural compounds are still of great relevance, considering the improvement of methods for isolation, chemical transformation, [...] Read more.
The history of the use of natural compounds as therapeutic agents goes back many centuries. Being the first objects of interest in the early days of medicine, natural compounds are still of great relevance, considering the improvement of methods for isolation, chemical transformation, and synthesis. They are also used in oncology, with the advantage of preventing the development of toxicity to normal cells and resistance in tumor cells. One of the promising classes of natural compounds with antitumor activity is lignans. We studied a number of lignans (arctiin, honokiol, matairesinol, pinoresinol, myrislignan, enterodiol, and enterolactone) in the breast cancer cell line MCF7 and the subline MCF7/FUL with acquired resistance to the antiestrogen fulvestrant. Antiproliferative activity was assessed using the MTT test. An analysis of the level of intracellular proteins was carried out via immunoblotting. Based on the results of the screening, the most active compound was honokiol; it had the lowest IC50 value for both MCF7 and MCF7/FUL cells, 19.7 μM and 9.1 μM, respectively. The revealed antiproliferative activity of honokiol against resistant cells prompted us to study its effects on intracellular proteins associated with proliferation and cell death. Honokiol suppressed the expression of Bcl-2 (an inhibitor of apoptosis) and cyclin D1 (a cell cycle regulator) in both cell lines, but this effect was more pronounced in the resistant subline. The decrease in the expression of antiapoptotic and proliferative proteins induced by honokiol is consistent with its antiproliferative effect, which is more pronounced in resistant subline MCF7/FUL. Full article
(This article belongs to the Proceedings of The 4th International Electronic Conference on Applied Sciences)
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<p>Antiproliferative activity of lignans arctiin (Arc), honokiol (Hon), matairesinol (Mat), pinoresinol (Pin), myrislignan (Myr), enterolactone (El), and enterodiol (Ed) at the range of concentration 3–50 µM against MCF7 (<b>a</b>) and MCF7/FUL (<b>b</b>) cells. Mean values ± standard deviation (S.D.) of cell viability (%), *—<span class="html-italic">p</span> &lt; 0.05 versus appropriate control.</p>
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<p>Effect of honokiol on intracellular proteins associated with the cell cycle and apoptosis. Cell lines MCF7 and MCF7/FUL were incubated with honokiol in a concentration range of 6–25 µM for 72 h, and then cell lysates were analyzed via immunoblotting.</p>
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23 pages, 2275 KiB  
Article
Integrated Microbiota and Metabolite Changes following Rice Bran Intake during Murine Inflammatory Colitis-Associated Colon Cancer and in Colorectal Cancer Survivors
by Annika M. Weber, Hend Ibrahim, Bridget A. Baxter, Robin Kumar, Akhilendra K. Maurya, Dileep Kumar, Rajesh Agarwal, Komal Raina and Elizabeth P. Ryan
Cancers 2023, 15(8), 2231; https://doi.org/10.3390/cancers15082231 - 10 Apr 2023
Cited by 3 | Viewed by 3016
Abstract
Dietary rice bran-mediated inhibition of colon carcinogenesis was demonstrated previously for carcinogen-induced rodent models via multiple anti-cancer mechanisms. This study investigated the role of dietary rice bran-mediated changes to fecal microbiota and metabolites over the time course of colon carcinogenesis and compared murine [...] Read more.
Dietary rice bran-mediated inhibition of colon carcinogenesis was demonstrated previously for carcinogen-induced rodent models via multiple anti-cancer mechanisms. This study investigated the role of dietary rice bran-mediated changes to fecal microbiota and metabolites over the time course of colon carcinogenesis and compared murine fecal metabolites to human stool metabolic profiles following rice bran consumption by colorectal cancer survivors (NCT01929122). Forty adult male BALB/c mice were subjected to azoxymethane (AOM)/dextran sodium sulfate (DSS)-induced colitis-associated colon carcinogenesis and randomized to control AIN93M (n = 20) or diets containing 10% w/w heat-stabilized rice bran (n = 20). Feces were serially collected for 16S rRNA amplicon sequencing and non-targeted metabolomics. Fecal microbiota richness and diversity was increased in mice and humans with dietary rice bran treatment. Key drivers of differential bacterial abundances from rice bran intake in mice included Akkermansia, Lactococcus, Lachnospiraceae, and Eubacterium xylanophilum. Murine fecal metabolomics revealed 592 biochemical identities with notable changes to fatty acids, phenolics, and vitamins. Monoacylglycerols, dihydroferulate, 2-hydroxyhippurate (salicylurate), ferulic acid 4-sulfate, and vitamin B6 and E isomers significantly differed between rice bran- and control-fed mice. The kinetics of murine metabolic changes by the host and gut microbiome following rice bran consumption complemented changes observed in humans for apigenin, N-acetylhistamine, and ethylmalonate in feces. Increased enterolactone abundance is a novel diet-driven microbial metabolite fecal biomarker following rice bran consumption in mice and humans from this study. Dietary rice bran bioactivity via gut microbiome metabolism in mice and humans contributes to protection against colorectal cancer. The findings from this study provide compelling support for rice bran in clinical and public health guidelines for colorectal cancer prevention and control. Full article
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<p>Experimental design for rice bran intervention in mice and humans for CRC control and prevention. (<b>A</b>) Six-week-old Balb/c mice were fed an AIN-93M pellet diet and acclimatized for one week. All mice then received a single intraperitoneal injection of 10 mg/kg body weight of azoxymethane (AOM) in saline. Seven days after AOM injection, mice were subjected to 2% dextran sodium sulfate (DSS) in drinking water for five days. Mice were then randomized and switched to either the rice bran (<span class="html-italic">n</span> = 20) diet group or maintained on the control AIN-93M pellet (<span class="html-italic">n</span> = 20) diet. Feces were collected from mice in both groups at baseline, and 2, 6, 10, and 14 weeks. (<b>B</b>) Human dietary rice bran intervention trial in CRC survivors (NCT01929122). Participants were provided daily meals and snacks with rice bran (<span class="html-italic">n</span> = 9) or no rice bran (<span class="html-italic">n</span> = 10) for 4 weeks. Stool samples were collected at baseline and week 4.</p>
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<p>Time-dependent fecal microbiota changes following control and rice bran intake in AOM/DSS-treated mice. (<b>A</b>) Unweighted UniFrac PCoA plot of the fecal microbiome separation by diet: rice bran in blue, control in orange. (<b>B</b>) Phylum-level changes in rice bran and control groups at baseline, and 2, 6, 10, and 14 weeks. (<b>C</b>) Genus-level log2 fold differences in the rice bran group compared to the control at week 10 and week 14. (<b>D</b>) ANCOM volcano plots, centered log ratio (clr) with W test statistic, and differentially abundant features between diet types. Statistically significant features as calculated by ANCOM are labelled.</p>
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<p>Fecal metabolite profiles modified by rice bran intake in AOM/DSS-treated mice. (<b>A</b>) PCA demonstrates segregation of the baseline to the 2- to 14-week time points. Stool metabolite mean relative scaled abundance (MSRA) fold difference with statistical significance between mice fed rice bran and the control at 14 weeks (<span class="html-italic">p</span> &lt; 0.05) and clustered into chemical classifications as (<b>B</b>) phytochemicals, (<b>C</b>) amino acids and peptides, and (<b>D</b>) carbohydrates and energy. (<b>E</b>) Pearson correlation heatmap depicting selected gut microbiota and fecal metabolites in AOM/DSS mice at baseline, week 6, week 10, and week 14, for both the control and rice bran groups.</p>
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<p>Median-scaled relative abundances (MSRA) for human fecal metabolites from the Beans/Bran Enriching Nutritional Eating For Intestinal Health Trial (BENEFIT) study at 4 weeks compared to the baseline are depicted (<b>left</b>). MSRAs for murine fecal metabolites from the rice bran group at baseline, and 2, 6, 10, and 14 weeks (<b>right</b>). (<b>A</b>) N-acetylhistamine, (<b>B</b>) beta-hydroxyisovalerate, (<b>C</b>) ethylmalonate, (<b>D</b>) N-acetylmethionine sulfoxide, (<b>E</b>) gamma-glutamylphenylalanine, (<b>F</b>) p-cresol sulfate, (<b>G</b>) apigenin, and (<b>H</b>) enterolactone (* = <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 and **** = <span class="html-italic">p</span> &lt; 0.0001).</p>
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15 pages, 2130 KiB  
Article
Diet Quality, Microbial Lignan Metabolites, and Cardiometabolic Health among US Adults
by Nicholas A. Koemel, Alistair M. Senior, Tarik Benmarhnia, Andrew Holmes, Mirei Okada, Youssef Oulhote, Helen M. Parker, Sanam Shah, Stephen J. Simpson, David Raubenheimer, Timothy P. Gill, Nasser Laouali and Michael R. Skilton
Nutrients 2023, 15(6), 1412; https://doi.org/10.3390/nu15061412 - 15 Mar 2023
Cited by 3 | Viewed by 2757
Abstract
The gut microbiome has been shown to play a role in the relationship between diet and cardiometabolic health. We sought to examine the degree to which key microbial lignan metabolites are involved in the relationship between diet quality and cardiometabolic health using a [...] Read more.
The gut microbiome has been shown to play a role in the relationship between diet and cardiometabolic health. We sought to examine the degree to which key microbial lignan metabolites are involved in the relationship between diet quality and cardiometabolic health using a multidimensional framework. This analysis was undertaken using cross-sectional data from 4685 US adults (age 43.6 ± 16.5 years; 50.4% female) participating in the National Health and Nutrition Examination Survey for 1999–2010. Dietary data were collected from one to two separate 24-hour dietary recalls and diet quality was characterized using the 2015 Healthy Eating Index. Cardiometabolic health markers included blood lipid profile, glycemic control, adiposity, and blood pressure. Microbial lignan metabolites considered were urinary concentrations of enterolignans, including enterolactone and enterodiol, with higher levels indicating a healthier gut microbial environment. Models were visually examined using a multidimensional approach and statistically analyzed using three-dimensional generalized additive models. There was a significant interactive association between diet quality and microbial lignan metabolites for triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, insulin, oral glucose tolerance, adiposity, systolic blood pressure, and diastolic blood pressure (all p < 0.05). Each of these cardiometabolic health markers displayed an association such that optimal cardiometabolic health was only observed in individuals with both high diet quality and elevated urinary enterolignans. When comparing effect sizes on the multidimensional response surfaces and model selection criteria, the strongest support for a potential moderating relationship of the gut microbiome was observed for fasting triglycerides and oral glucose tolerance. In this study, we revealed interactive associations of diet quality and microbial lignan metabolites with cardiometabolic health markers. These findings suggest that the overall association of diet quality on cardiometabolic health may be affected by the gut microbiome. Full article
(This article belongs to the Section Nutrition and Public Health)
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<p>Associations of blood lipids with HEI and enterolignans. Response surfaces show the association of triglycerides (<b>A</b>) LDL cholesterol (<b>B</b>) and HDL cholesterol (<b>C</b>) with HEI, enterolignans, and total energy intake. Enterolactone and enterodiol are presented as μmol/L (log-transformed). The outcome of each response surface is shown at the top of the plot, with warmer colors denoting higher values and cooler colors denoting lower values. Response surfaces are predicted at the 50th percentile of total energy intake and have been adjusted for age, sex, household income, BMI, physical activity. Low-density lipoprotein (LDL); high-density lipoprotein (HDL).</p>
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<p>Associations of glycemic control with HEI and enterolignans. Response surfaces show the association of insulin (<b>A</b>) and OGGT (<b>B</b>) with HEI, enterolignans and total energy intake. Enterolactone and enterodiol are presented as μmol/L (log-transformed). The outcome of each response surface is shown at the top of the plot, with warmer colors denoting higher values and cooler colors denoting lower values. Response surfaces are predicted at the 50th percentile of total energy intake and have been adjusted for age, sex, household income, BMI, physical activity. Oral glucose tolerance test (OGTT).</p>
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<p>Associations of adiposity and blood pressure with HEI and enterolignans. Response surfaces show the associations of adiposity (<b>A</b>), systolic blood pressure (<b>B</b>), and diastolic blood pressure (<b>C</b>) with HEI, enterolignans, and total energy intake. Enterolactone and enterodiol are presented as μmol/L (log-transformed). The outcome of each response surface is shown at the top of the plot, with warmer colors denoting higher values and cooler colors denoting lower values. Response surfaces are predicted at the 50th percentile of total energy intake and have been adjusted for age, sex, household income, BMI, and physical activity.</p>
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21 pages, 17197 KiB  
Article
Strawberry, Blueberry, and Strawberry-Blueberry Blend Beverages Prevent Hepatic Steatosis in Obese Rats by Modulating Key Genes Involved in Lipid Metabolism
by Ana María Sotelo-González, Rosalía Reynoso-Camacho, Ana Karina Hernández-Calvillo, Ana Paola Castañón-Servín, David Gustavo García-Gutiérrez, Haiku Daniel de Jesús Gómez-Velázquez, Miguel Ángel Martínez-Maldonado, Ericka Alejandra de los Ríos and Iza Fernanda Pérez-Ramírez
Int. J. Environ. Res. Public Health 2023, 20(5), 4418; https://doi.org/10.3390/ijerph20054418 - 1 Mar 2023
Cited by 1 | Viewed by 2308
Abstract
There is an increasing interest in developing natural herb-infused functional beverages with health benefits; therefore, in this study, we aimed to evaluate the effect of strawberry, blueberry, and strawberry-blueberry blend decoction-based functional beverages on obesity-related metabolic alterations in high-fat and high-fructose diet-fed rats. [...] Read more.
There is an increasing interest in developing natural herb-infused functional beverages with health benefits; therefore, in this study, we aimed to evaluate the effect of strawberry, blueberry, and strawberry-blueberry blend decoction-based functional beverages on obesity-related metabolic alterations in high-fat and high-fructose diet-fed rats. The administration of the three berry-based beverages for eighteen weeks prevented the development of hypertriglyceridemia in obese rats (1.29–1.78-fold) and hepatic triglyceride accumulation (1.38–1.61-fold), preventing the development of hepatic steatosis. Furthermore, all beverages significantly down-regulated Fasn hepatic expression, whereas the strawberry beverage showed the greatest down-regulation of Acaca, involved in fatty acid de novo synthesis. Moreover, the strawberry beverage showed the most significant up-regulation of hepatic Cpt1 and Acadm (fatty acid β-oxidation). In contrast, the blueberry beverage showed the most significant down-regulation of hepatic Fatp5 and Cd36 (fatty acid intracellular transport). Nevertheless, no beneficial effect was observed on biometric measurements, adipose tissue composition, and insulin resistance. On the other hand, several urolithins and their derivatives, and other urinary polyphenol metabolites were identified after the strawberry-based beverages supplementation. In contrast, enterolactone was found significantly increase after the intake of blueberry-based beverages. These results demonstrate that functional beverages elaborated with berry fruits prevent diet-induced hypertriglyceridemia and hepatic steatosis by modulating critical genes involved in fatty acid hepatic metabolism. Full article
(This article belongs to the Section Global Health)
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<p>Liver histological analysis of standard diet diet-fed rats (<bold>A</bold>), high-fat and high-fructose diet-fed rats (<bold>B</bold>), high-fat and high-fructose diet-fed rats treated with strawberry beverage (<bold>C</bold>), high-fat and high-fructose diet-fed rats treated with blueberry beverage (<bold>D</bold>), and high-fat and high-fructose diet-fed rats treated with strawberry-blueberry blend beverage (<bold>E</bold>). Magnification at 40×.</p>
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<p>Effect of the strawberry, blueberry, and strawberry-blueberry blend beverages on genes involved in fatty acid de novo synthesis (<bold>A</bold>), fatty acids transport (<bold>B</bold>), and fatty acids β-oxidation (<bold>C</bold>) in high-fat and high-fructose diet-fed rats. Data are shown as mean values, and error bars represent the interquartile range (n = 10). Different letters indicate significant (<italic>p</italic> &lt; 0.05) differences between samples by Tukey’s or Kruskal–Wallis’s test. <sup>†</sup> Indicate significant (<italic>p</italic> &lt; 0.05) difference compared to the HFFD group by Dunnett’s or Wilcoxon test. SD: standard diet; HFFD: high-fat and high-fructose diet; SB: strawberry beverage; BB: blueberry beverage; SBB: strawberry-blueberry beverage.</p>
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<p>Principal Component Analysis plot (<bold>A</bold>) and biplot (<bold>B</bold>) of urinary polyphenol metabolites of high-fat and high-fructose diet-fed rats supplemented with strawberry, blueberry, and strawberry-blueberry blend beverages. Data were normalized by sum, square root transformed, and auto-scaled. SD: standard diet; HFFD: high-fat and high-fructose diet; SB: strawberry beverage; BB: blueberry beverage; SBB: strawberry-blueberry beverage.</p>
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<p>Spare Partial Least Square-Discriminant Analysis plot (<bold>A</bold>), loadings of component 1 (<bold>B</bold>), and loadings of component 2, (<bold>C</bold>) of urinary polyphenol metabolites of high-fat and high-fructose diet-fed rats supplemented with strawberry, blueberry, and strawberry-blueberry blend beverages. Data were normalized by sum, square root transformed, and auto-scaled. SD: standard diet; HFFD: high-fat and high-fructose diet; SB: strawberry beverage; BB: blueberry beverage; SBB: strawberry-blueberry beverage.</p>
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<p>K-means clustering plot (<bold>A</bold>) and features (<bold>B</bold>) of urinary polyphenol metabolites of high-fat and high-fructose diet-fed rats supplemented with strawberry, blueberry, and strawberry-blueberry blend beverages. Data were normalized by sum, square root transformed, and auto-scaled. SD: standard diet; HFFD: high-fat and high-fructose diet; SB: strawberry beverage; BB: blueberry beverage; SBB: strawberry-blueberry beverage.</p>
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18 pages, 1017 KiB  
Article
Validation of ELISAs for Isoflavones and Enterolactone for Phytoestrogen Intake Assessment in the French Population
by Souad Bensaada, Isabelle Raymond, Isabelle Pellegrin, Jean-François Viallard and Catherine Bennetau-Pelissero
Nutrients 2023, 15(4), 967; https://doi.org/10.3390/nu15040967 - 15 Feb 2023
Cited by 3 | Viewed by 1183
Abstract
Phytoestrogens are dietary compounds with low estrogenic activity. The two main categories in the French diet are isoflavones from pulses and enterolignans metabolized by the gut flora from various lignans found in fruits, vegetables, grains, and beverages. Isoflavones and lignans have different effects [...] Read more.
Phytoestrogens are dietary compounds with low estrogenic activity. The two main categories in the French diet are isoflavones from pulses and enterolignans metabolized by the gut flora from various lignans found in fruits, vegetables, grains, and beverages. Isoflavones and lignans have different effects on human physiology and can antagonize each other. Comprehensive lists of phytoestrogen sources were constructed based on measurements and literature data. The 24 h and 48 h dietary recalls were proposed to the volunteers of the ISOLED cohort (NCT03421184). Urine and plasma samples from these volunteers were assayed for genistein, daidzein, equol, and enterolactone. A dietary score was constructed considering the pharmacokinetic characteristics of these compounds. Correlation analyses were applied to fluid concentrations associated with dietary scores. Pearson correlations reached 0.921 (p < 0.001) for urineIF, 0.900 (p < 0.001) for plasmaIF, 0.764 (p < 0.001) for urineENL, and 0.723 (p < 0.001) for plasmaENL. ELISAs associated with careful intake assessments proved to be good tools for phytoestrogens’ exposure estimation. Full article
(This article belongs to the Special Issue Dietary Phytoestrogens and Health)
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<p>(<b>A</b>) Isoflavones, (<b>B</b>) the isoflavane metabolite equol, (<b>C</b>) the enterolactone-precursors considered in this study, and (<b>D</b>) the enterolignans known to be produced by the human gut flora.</p>
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<p>Correlations between IFs (genistein + daidzein + equol) or ENL (enterolactone) in biological fluids and their respective dietary scores.</p>
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14 pages, 1594 KiB  
Review
Interplay between Lignans and Gut Microbiota: Nutritional, Functional and Methodological Aspects
by Simone Baldi, Marta Tristán Asensi, Marco Pallecchi, Francesco Sofi, Gianluca Bartolucci and Amedeo Amedei
Molecules 2023, 28(1), 343; https://doi.org/10.3390/molecules28010343 - 1 Jan 2023
Cited by 14 | Viewed by 3567
Abstract
Lignans are non-flavonoid polyphenols present in a wide range of foods frequently consumed in the Western world, such as seeds, vegetables and fruits, and beverages such as coffee, tea and wine. In particular, the human gut microbiota (GM) can convert dietary lignans into [...] Read more.
Lignans are non-flavonoid polyphenols present in a wide range of foods frequently consumed in the Western world, such as seeds, vegetables and fruits, and beverages such as coffee, tea and wine. In particular, the human gut microbiota (GM) can convert dietary lignans into biologically active compounds, especially enterolignans (i.e., enterolactone and enterodiol), which play anti-inflammatory and anti-oxidant roles, act as estrogen receptor activators and modulate gene expression and/or enzyme activity. Interestingly, recent evidence documenting those dietary interventions involving foods enriched in lignans have shown beneficial and protective effects on various human pathologies, including colorectal and breast cancer and cardiovascular diseases. However, considering that more factors (e.g., diet, food transit time and intestinal redox state) can modulate the lignans bioactivation by GM, there are usually remarkable inter-individual differences in urine, fecal and blood concentrations of enterolignans; hence, precise and validated analytical methods, especially gas/liquid chromatography coupled to mass spectrometry, are needed for their accurate quantification. Therefore, this review aims to summarize the beneficial roles of enterolignans, their interaction with GM and the new methodological approaches developed for their evaluation in different biological samples, since they could be considered future promising nutraceuticals for the prevention of human chronic disorders. Full article
(This article belongs to the Special Issue Recent Research in Plant Polyphenols and Gut Health)
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<p>Schematic representation of the fermentative process of lignans.</p>
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<p>Main health-promoting proprieties of microbial-derived enterolignans.</p>
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<p>Experimental workflow for qualitative and quantitative analysis of lignans. LLE: liquid-liquid extraction, SLE: solid-liquid extraction, HPLC: high-performance liquid chromatography, GC/MS: gas chromatography mass spectrometry, TRFIA: time-resolved fluoro-immunoassay.</p>
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15 pages, 2048 KiB  
Article
Identification of Human Gut Microbiome Associated with Enterolignan Production
by Kento Sawane, Koji Hosomi, Jonguk Park, Kouta Ookoshi, Hinako Nanri, Takashi Nakagata, Yi-An Chen, Attayeb Mohsen, Hitoshi Kawashima, Kenji Mizuguchi, Motohiko Miyachi and Jun Kunisawa
Microorganisms 2022, 10(11), 2169; https://doi.org/10.3390/microorganisms10112169 - 31 Oct 2022
Cited by 6 | Viewed by 2515
Abstract
Dietary plant lignans are converted inside the gut to enterolignans enterodiol (ED) and enterolactone (EL), which have several biological functions, and health benefits. In this study, we characterized the gut microbiome composition associated with enterolignan production using data from a cross-sectional study in [...] Read more.
Dietary plant lignans are converted inside the gut to enterolignans enterodiol (ED) and enterolactone (EL), which have several biological functions, and health benefits. In this study, we characterized the gut microbiome composition associated with enterolignan production using data from a cross-sectional study in the Japanese population. We identified enterolignan producers by measuring ED and EL levels in subject’s serum using liquid chromatography-tandem mass spectrometry. Enterolignan producers show more abundant proportion of Ruminococcaceae and Lachnospiraceae than non-enterolignan producers. In particular, subjects with EL in their serum had a highly diverse gut microbiome that was rich in Ruminococcaceae and Rikenellaceae. Moreover, we built a random forest classification model to classify subjects to either EL producers or not using three characteristic bacteria. In conclusion, our analysis revealed the composition of gut microbiome that is associated with lignan metabolism. We also confirmed that it can be used to classify the microbiome ability to metabolize lignan using machine learning approach. Full article
(This article belongs to the Special Issue Diet, Nutrition, and Gut Microbiota)
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<p>Detection of enterolignans in human serum and evaluation of individual enterolignan metabolic profile in Main cohort. (<b>A</b>) Concentration of EDGlu, ED, ELGlu, and EL in human serum. In the box plots, the boundary of the box closest and farthest to zero indicates the 25th and 75th percentile, respectively, and a line within the box marks the median. Whiskers indicate minimum and maximum values. Points above the whiskers indicate outliers. (<b>B</b>) Distribution of enterolignan metabolic profiles in Main cohort. (<b>C</b>) Discrimination of subjects in Main cohort based on individual enterolignan metabolic profile. Subjects were divided into Group A (who cannot produce either ED or EL), Group B (who can produce ED but not EL), and Group C (who can produce EL, including people who can produce ED also).</p>
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<p>Gut microbiome characteristics differ depending on enterolignan metabolic profile. (<b>A</b>) PCoA of gut microbiome based on genera abundance between Groups A, B, and C. Statistical significance was found among the three groups by PERMANOVA (Pr = 0.0021). (<b>B</b>) Alpha diversity indices of each group. In the box plots, the boundary of the box closest and farthest to zero indicates the 25th and 75th percentile, respectively, and a black line within the box marks the median. Whiskers indicate minimum and maximum values. Points above the whiskers indicate outliers. Statistical significance was evaluated by Kruskal-Wallis test followed by Bonferroni’s multiple comparison test. N.S; not significant, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Comparison of gut microbiome composition at family level between enterolignan producers and non-producers. (<b>A</b>) LEfSe analysis at family level of enterolignan producers (Group B + C) and non-producers (Group A). (<b>B</b>) Comparison of relative abundance of Ruminococcaceae, Lachnospiraceae, and Enterobacteriaceae between enterolignan producers (Group B + C) and non-producers (Group A). In the box plots, the boundary of the box closest and farthest to zero indicates the 25th and 75th percentile, respectively, and a black line within the box marks the median. Whiskers indicate minimum and maximum values. Points above the whiskers indicate outliers. Statistical significance was evaluated by Mann-Whitney U test. * <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>Comparison of gut microbiome composition at family level between EL producers and non-producers. (<b>A</b>) LEfSe analysis at family level comparing EL producers (Group C) and EL non-producers (Group B). (<b>B</b>) Comparison of relative abundance of Ruminococcaceae, Rikenellaceae, and Lachnospiraceae of EL producers (Group C) and other groups. In the box plots, the boundary of the box closest and farthest to zero indicates the 25th and 75th percentile, respectively, and a black line within the box marks the median. Whiskers indicate minimum and maximum values. Points above the whiskers indicate outliers. Statistical significance was evaluated by Kruskal-Wallis test followed by Bonferroni’s multiple comparison test. * <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>A random forest model to classify EL producers based on microbial genus data. (<b>A</b>) The top 20 explanatory variables that are important for EL producer classification (Model 1). (<b>B</b>) Relative abundance of the top 3 explanatory variable bacteria. In the box plots, the boundary of the box closest and farthest to zero indicates the 25th and 75th percentile, respectively, and a black line within the box marks the median. Whiskers indicate minimum and maximum values. Points above the whiskers indicate outliers. Statistical significance was evaluated by Kruskal-Wallis test followed by Bonferroni’s multiple comparison test. * <span class="html-italic">p</span> &lt; 0.05, and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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19 pages, 1653 KiB  
Article
Dietary Modulation of the Human Gut Microbiota and Metabolome with Flaxseed Preparations
by Karin Kleigrewe, Martina Haack, Martine Baudin, Thomas Ménabréaz, Julien Crovadore, Mahmoud Masri, Michael Beyrer, Wilfried Andlauer, François Lefort, Corinna Dawid, Thomas B. Brück and Wolfram M. Brück
Int. J. Mol. Sci. 2022, 23(18), 10473; https://doi.org/10.3390/ijms231810473 - 9 Sep 2022
Cited by 10 | Viewed by 2672
Abstract
Flaxseeds are typically consumed either as whole flaxseed, ground flaxseed, flaxseed oil, partially defatted flaxseed meal, or as a milk alternative. They are considered a rich source of vitamins, minerals, proteins and peptides, lipids, carbohydrates, lignans, and dietary fiber, which have shown hypolipidemic, [...] Read more.
Flaxseeds are typically consumed either as whole flaxseed, ground flaxseed, flaxseed oil, partially defatted flaxseed meal, or as a milk alternative. They are considered a rich source of vitamins, minerals, proteins and peptides, lipids, carbohydrates, lignans, and dietary fiber, which have shown hypolipidemic, antiatherogenic, anticholesterolemic, and anti-inflammatory property activity. Here, an in vitro batch culture model was used to investigate the influence of whole milled flaxseed and partially defatted milled flaxseed press cake on the gut microbiota and the liberation of flaxseed bioactives. Microbial communities were profiled using 16S rRNA gene-based high-throughput sequencing with targeted mass spectrometry measuring lignan, cyclolinopeptide, and bile acid content and HPLC for short-chain fatty acid profiles. Flaxseed supplementation decreased gut microbiota richness with Firmicutes, Proteobacteria, and Bacteroidetes becoming the predominant phyla. Secoisolariciresinol, enterodiol, and enterolactone were rapidly produced with acetic acid, butyric acid, and propionic acid being the predominant acids after 24 h of fermentation. The flaxseed press cake and whole flaxseed were equivalent in microbiota changes and functionality. However, press cake may be superior as a functional additive in a variety of foods in terms of consumer acceptance as it would be more resistant to oxidative changes. Full article
(This article belongs to the Section Bioactives and Nutraceuticals)
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<p>(<b>a</b>) Dendrogram and (<b>b</b>) generalized Unifrac NMDS plot of human gut microbiota batch cultures observed over 24 h (T0, T6, T18, T24 = observed timepoints 0 h (red), 6 h (green), 18 h (blue), and 24 h (purple); C = control fermentation without flaxseed, PC = digested flaxseed press cake, FS = digested milled whole flaxseed).</p>
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<p>Stacked bar plot of the relative abundance of the 15 most predominant genera of human gut microbiota batch cultures. T0, T6, T18, T24 = observed timepoints 0 h, 6 h, 18 h, and 24 h; C = control fermentation without flaxseed, PC = digested flaxseed press cake, FS = digested milled whole flaxseed.</p>
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<p>Stacked bar plot of the relative abundance of phyla present in human gut microbiota batch cultures. T0, T6, T18, T24 = observed timepoints 0 h, 6 h, 18 h, and 24 h; C = control fermentation without flaxseed, PC = digested flaxseed press cake, FS = digested milled whole flaxseed.</p>
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<p>Stacked bar plot of concentrations of volatile fatty acids (±SD). T0, T6, T18, T24 = observed timepoints 0 h, 6 h, 18 h, and 24 h; C = control fermentation without flaxseed, PC = digested flaxseed press cake, FS = digested milled whole flaxseed.</p>
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<p>Heatmap of log-transformed concentrations of lignans and their degradation products (Euclidean distance measures and Ward’s clustering algorithm used). T0, T6, T18, T24 = observed timepoints 0 h, 6 h, 18 h, and 24 h; PC = digested flaxseed press cake, FS = digested milled whole flaxseed.</p>
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<p>Heatmap of the metabolism of cyclolinopeptides during fermentation. T0, T6, T18, T24 = observed timepoints 0 h, 6 h, 18 h, and 24 h; PC = digested flaxseed press cake, FS = digested milled whole flaxseed.</p>
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<p>Heatmap of the bile acid production during fermentation. T0, T6, T18, T24 = observed timepoints 0 h, 6 h, 18 h, and 24 h; PC = digested flaxseed press cake, FS = digested milled whole flaxseed.</p>
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27 pages, 691 KiB  
Review
Extraction Techniques and Analytical Methods for Isolation and Characterization of Lignans
by Andrzej Patyra, Małgorzata Kołtun-Jasion, Oktawia Jakubiak and Anna Karolina Kiss
Plants 2022, 11(17), 2323; https://doi.org/10.3390/plants11172323 - 5 Sep 2022
Cited by 14 | Viewed by 5013
Abstract
Lignans are a group of natural polyphenols present in medicinal plants and in plants which are a part of the human diet for which more and more pharmacological activities, such as antimicrobial, anti-inflammatory, hypoglycemic, and cytoprotective, are being reported. However, it is their [...] Read more.
Lignans are a group of natural polyphenols present in medicinal plants and in plants which are a part of the human diet for which more and more pharmacological activities, such as antimicrobial, anti-inflammatory, hypoglycemic, and cytoprotective, are being reported. However, it is their cytotoxic activities that are best understood and which have shed light on this group. Two anticancer drugs, etoposide, and teniposide, were derived from a potent cytotoxic agent—podophyllotoxin from the roots of Podophyllum peltatum. The evidence from clinical and observational studies suggests that human microbiota metabolites (enterolactone, enterodiol) of dietary lignans (secoisolariciresinol, pinoresinol, lariciresinol, matairesinol, syringaresinol, medioresinol, and sesamin) are associated with a reduced risk of some hormone-dependent cancers. The biological in vitro, pharmacological in vivo investigations, and clinical studies demand significant amounts of pure compounds, as well as the use of well-defined and standardized extracts. That is why proper extract preparation, optimization of lignan extraction, and identification are crucial steps in the development of lignan use in medicine. This review focuses on lignan extraction, purification, fractionation, separation, and isolation methods, as well as on chromatographic, spectrometric, and spectroscopic techniques for their qualitative and quantitative analysis. Full article
(This article belongs to the Special Issue Plant Extracts and Their Cytotoxic Activities)
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<p>Biosynthetic pathway of major lignans reconstructed from the published records [<a href="#B1-plants-11-02323" class="html-bibr">1</a>,<a href="#B4-plants-11-02323" class="html-bibr">4</a>,<a href="#B5-plants-11-02323" class="html-bibr">5</a>,<a href="#B6-plants-11-02323" class="html-bibr">6</a>,<a href="#B7-plants-11-02323" class="html-bibr">7</a>,<a href="#B8-plants-11-02323" class="html-bibr">8</a>,<a href="#B9-plants-11-02323" class="html-bibr">9</a>,<a href="#B10-plants-11-02323" class="html-bibr">10</a>,<a href="#B11-plants-11-02323" class="html-bibr">11</a>]. DP (dirigent protein), PSS (piperitol/sesamin Synthase), PLR (pinoresinol/lariciresinol reductase), CPR1 (cytochrome P450 oxidoreductase 1), SID (secoisolariciresinol dehydrogenase), MMT (matairesinol O-methyltransferase).</p>
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17 pages, 4550 KiB  
Article
Personalized Nutrition Using Microbial Metabolite Phenotype to Stratify Participants and Non-Invasive Host Exfoliomics Reveal the Effects of Flaxseed Lignan Supplementation in a Placebo-Controlled Crossover Trial
by Destiny A. Mullens, Ivan Ivanov, Meredith A. J. Hullar, Timothy W. Randolph, Johanna W. Lampe and Robert S. Chapkin
Nutrients 2022, 14(12), 2377; https://doi.org/10.3390/nu14122377 - 8 Jun 2022
Cited by 8 | Viewed by 2334
Abstract
High-fiber plant foods contain lignans that are converted to bioactive enterolignans, enterolactone (ENL) and enterodiol (END) by gut bacteria. Previously, we conducted an intervention study to gain mechanistic insight into the potential chemoprotective effects of flaxseed lignan supplementation (secoisolariciresinol diglucoside; SDG) compared to [...] Read more.
High-fiber plant foods contain lignans that are converted to bioactive enterolignans, enterolactone (ENL) and enterodiol (END) by gut bacteria. Previously, we conducted an intervention study to gain mechanistic insight into the potential chemoprotective effects of flaxseed lignan supplementation (secoisolariciresinol diglucoside; SDG) compared to a placebo in 42 men and women. Here, we expand on these analyses to further probe the impact of the microbial metabolite phenotype on host gene expression in response to lignan exposure. We defined metabolic phenotypes as high- or low-ENL excretion based on the microbial metabolism of SDG. RNA-seq was used to assess host gene expression in fecal exfoliated cells. Stratified by microbial ENL excretion, differentially expressed (DE) genes in high- and low-ENL excreter groups were compared. Linear discriminant analysis using the ENL phenotypes identified putative biomarker combinations of genes capable of discriminating the lignan treatment from the placebo. Following lignan intervention, a total of 165 DE genes in high-ENL excreters and 1450 DE genes in low-ENL excreters were detected. Functional analysis identified four common upstream regulators (master genes): CD3, IFNG, IGF1 and TNFRSF1A. Our findings suggest that the enhanced conversion of flaxseed lignan to ENL is associated with a suppressed inflammatory status. Full article
(This article belongs to the Special Issue Gene-Nutrient Interactions and Precision Nutrition in Human Health)
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<p>Venn diagram of differentially expressed genes following flaxseed lignan extract supplementation in participants exhibiting high and low ENL phenotypes.</p>
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<p>The top performing high-ENL phenotype three-gene classifier based on MMP1, GCM1 and NRCAM expression: (<b>a</b>) high-ENL participants only (13 placebo, 14 lignan); (<b>b</b>) all participants (25 placebo, 29 lignan).</p>
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<p>The top performing low-ENL phenotype three-gene classifier based on TSTA3, SEPTIN4 and CDH3 expression: (<b>a</b>) low-ENL participants only (12 placebo, 15 lignan); (<b>b</b>) all participants (25 placebo, 29 lignan).</p>
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<p>Venn diagram representing individual genes used to generate the top 500 LDA three-gene classifiers for each ENL phenotype.</p>
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<p>Genes with a frequency of 5% or higher in the top 500 LDA classifiers from flaxseed lignan vs. placebo intervention in each of the two ENL phenotypes. Gene frequencies were determined by their appearance in the top (with respect to their bresub error) 500 LDA three-gene classifiers.</p>
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<p>Differentially expressed genes (FDR adjusted <span class="html-italic">p</span>-value &lt; 0.05) contributing to the identification of the upstream regulator, interferon gamma (IFNG), following lignan flaxseed intervention: (<b>a</b>) predicted inhibition of IFNG in high-ENL excreters (z-score −2.094); (<b>b</b>) predicted activation of IFNG in low-ENL excreters (z-score 3.343). The full network of genes contributing to activation of IFNG in low-ENL excreters is described in <a href="#app1-nutrients-14-02377" class="html-app">Supplemental Figure S2</a>.</p>
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<p>Differentially expressed genes (FDR adjusted <span class="html-italic">p</span>-value &lt; 0.05) contributing to the identification of the upstream regulator, cluster of differentiation 3 (CD3) following lignan flaxseed intervention: (<b>a</b>) no statistically significant effect in high-ENL excreters (z-score −1.342); (<b>b</b>) predicted activation of CD3 in low-ENL excreters (z-score 2.802).</p>
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<p>Differentially expressed genes (FDR adjusted <span class="html-italic">p</span>-value &lt; 0.05) contributing to the identification of upstream regulator, TNF superfamily receptor 1A (TNFRSF1A) following lignan flaxseed intervention: (<b>a</b>) no statistically significant effect in high-ENL excreters (z-score 1.091); (<b>b</b>) predicted activation of TNFSF1A in low-ENL excreters (z-score 2.758).</p>
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<p>Differentially expressed genes (FDR adjusted <span class="html-italic">p</span>-value &lt; 0.05) contributing to the identification of upstream regulator, Insulin like growth factor 1 (IGF1) following lignan flaxseed intervention: (<b>a</b>) predicted activation of IGF1 in high-ENL excreters (z-score 2.172); (<b>b</b>) no statistically significant effect in low-ENL excreters (z-score 1.828).</p>
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12 pages, 988 KiB  
Article
Occurrence of Polyphenols, Isoflavonoids, and Their Metabolites in Milk Samples from Different Cow Feeding Regimens
by Gabriele Rocchetti, Francesca Ghilardelli, Martina Mosconi, Francesco Masoero and Antonio Gallo
Dairy 2022, 3(2), 314-325; https://doi.org/10.3390/dairy3020024 - 6 May 2022
Cited by 2 | Viewed by 2393
Abstract
In this work, milk samples collected in a cohort of intensive dairy farms of the Po Valley (Italy) were screened for their (poly)-phenolic profile to check the occurrence of phenolic metabolites of biological interest. The selected dairy farms were previously classified on the [...] Read more.
In this work, milk samples collected in a cohort of intensive dairy farms of the Po Valley (Italy) were screened for their (poly)-phenolic profile to check the occurrence of phenolic metabolites of biological interest. The selected dairy farms were previously classified on the basis of their cow feeding system, considering the utilization of corn silage as the main ingredient of the rations. Overall, ultra-high-pressure liquid chromatography coupled with mass spectrometry using an Orbitrap analyzer, followed by unsupervised and supervised statistics, allowed identifying clear different phenolic distributions in the milk samples. Accordingly, a great variability in the phenolic profiles of the different milk samples was observed, with two main phenolic clusters outlined by the unsupervised hierarchical clustering approach and not fully correlated to the nutritional strategy considered. The variables’ importance in the projection approach allowed selecting the most important metabolites, resulting in samples’ discrimination. Among the most discriminative compounds, we found phenolic metabolites (such as hippuric acid and 4-hydroxyhippuric acid), followed by lignans (such as enterolactone) and isoflavonoids (such as equol and O-desmethylangolensin). Taken together, our findings suggested that both the feeding systems and the ability of dairy cows to process parent phenolic compounds were the main factors providing the final (poly)-phenolic profile of the milk samples. Future targeted and ad hoc studies appear of great interest to evaluate the potential biological effects of these compounds on cow health. Full article
(This article belongs to the Section Metabolomics and Foodomics)
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<p>Heat map resulting from the unsupervised hierarchical cluster analysis of the different milk samples under investigation. Two main clusters (i.e., blue on the left and red on the right) could be identified.</p>
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<p>Orthogonal projection to latent structures discriminant analysis (OPLS-DA) score plot when considering the two phenolic groups (Cluster 1 and Cluster 2) outlined by unsupervised clustering analysis.</p>
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12 pages, 278 KiB  
Article
Greater Consumption of Total and Individual Lignans and Dietary Fibers Were Significantly Associated with Lowered Risk of Hip Fracture—A 1:1 Matched Case–Control Study among Chinese Elderly Men and Women
by Zhaomin Liu, Bailing Chen, Baolin Li, Cheng Wang, Guoyi Li, Wenting Cao, Fangfang Zeng and Yuming Chen
Nutrients 2022, 14(5), 1100; https://doi.org/10.3390/nu14051100 - 5 Mar 2022
Cited by 5 | Viewed by 2344
Abstract
The study aims to examine the association of dietary intake of lignans with the risk of hip fractures in Chinese older adults. This was a 1:1 age- and gender- matched case–control study. Dietary survey was conducted by face-to-face interviews using a 79-item validated [...] Read more.
The study aims to examine the association of dietary intake of lignans with the risk of hip fractures in Chinese older adults. This was a 1:1 age- and gender- matched case–control study. Dietary survey was conducted by face-to-face interviews using a 79-item validated food frequency questionnaire. Habitual intake of total and individual lignans (matairesinol, secoisolariciresinol, pinoresinol, and lariciresinol) was estimated based on the available lignans databases. Conditional logistic regression was used to examine the relationship of dietary total and individual lignans, lignan-rich foods (vegetables, fruits, nuts, and cereals) and dietary fibers with the risk of hip fracture. A total of 1070 pairs of hip fracture incident cases and controls were recruited. Compared with the lowest quartile, the highest quartile group showed a reduced hip fracture risk by 76.3% (0.237, 95% CI: 0.103–0.544, Ptrend < 0.001) for total lignans, and 62.5% (0.375, 95% CI: 0.194–0.724, Ptrend = 0.001) for dietary fibers. Similar findings were observed for individual lignans, the estimated enterolactone level, as well as lignans from vegetables and nuts. We concluded that greater consumption of total and individual lignans, and lignan-rich foods were significantly associated with decreased risk of hip fracture. Full article
(This article belongs to the Special Issue Dietary Factors on Cardiovascular and Endocrine Health)
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