Harnessing gut microbial communities to unravel microbiome functions

Current Opinion in Microbiology, Journal Year: 2025, Volume and Issue: 83, P. 102578 - 102578

Published: Jan. 8, 2025

Language: Английский

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Dietary index for gut microbiota is associated with stroke among US adults

Food & Function, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

The dietary index for gut microbiota was inversely associated with stroke prevalence, particularly in adults aged 30 years and above.

Language: Английский

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Global metabolite profiling in feces, serum, and urine yields insights into energy balance phenotypes induced by diet-driven microbiome remodeling

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

Abstract Background. Preclinical literature and behavioral human data suggest that diet profoundly impacts the gut microbiome energy absorption—a key determinant of balance. To determine whether these associations are causal, domiciled controlled feeding studies with precise measurements dietary intake balance needed. Metabolomics—a functional readout modulation—can help identify putative mechanisms mediating effects. We previously demonstrated a high-fiber, minimally processed Microbiome Enhancer Diet (MBD) fed at decreased absorption increased microbial biomass relative to calorie-matched fiber-poor, highly Western (WD). Objective. metabolic signatures distinguishing MBD from WD potential metabolomic MBD-induced negative Methods. deployed global metabolomics in feces, serum, urine using samples collected end randomized crossover trial delivering 22 days an 17 persons without obesity. Samples were while participants on ward analyzed Ultrahigh Performance Liquid Chromatography-Tandem Mass Spectroscopy. Linear mixed effects models tested metabolite changes by diet. Weighted gene network correlation analysis identified modules correlated phenotypes. Results. Numerous metabolites consistently altered fasting and/or may serve as biomarkers feeding. Fecal diet-microbiota co-metabolites reduced biomass. An shifted urinary metabolome sugar degradation ketogenesis—evidence Conclusions. Precisely diets disparate microbiota-accessible substrates led distinct urine. These be “fed” or “starved” (WD) microbiota associated findings lay foundation for unveiling causal pathways linking co-metabolism absorption.

Language: Английский

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Bidirectional Interplay Among Non-Coding RNAs, the Microbiome, and the Host During Development and Diseases

Genes, Journal Year: 2025, Volume and Issue: 16(2), P. 208 - 208

Published: Feb. 8, 2025

It is widely known that the dysregulation of non-coding RNAs (ncRNAs) and dysbiosis gut microbiome play significant roles in host development progression various diseases. Emerging evidence has highlighted bidirectional interplay between ncRNAs microbiome. This article aims to review current understanding molecular mechanisms underlying crosstalk ncRNAs, especially microRNA (miRNA), context diseases, such as colorectal cancer, inflammatory bowel neurological disorders, obesity, cardiovascular disease. Ultimately, this seeks provide a foundation for exploring potential interactions biomarkers therapeutic targets clinical diagnosis treatment, ncRNA mimics, antisense oligonucleotides, small-molecule compounds, well probiotics, prebiotics, diets.

Language: Английский

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Does Gut Microbiome Composition Influence the Efficacy of Psychiatric Drugs?

European Medical Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Altered gut microbiome profiles correlate with anxiety and depression in humans, work animal models has identified specific bacterial taxa and/or microbiome-derived metabolites that influence complex emotional behaviours. Intriguingly, many pharmaceuticals, including widely used oral treatments for depression, can be chemically modified by microbes the gastrointestinal tract, which may lead to drug inactivation. The authors highlight importance of integrating research across microbial culture systems, models, multi-omics analyses clinical cohorts gain mechanistic insights into whether composition determines efficacy, bioavailability, tolerability neuropsychiatric medications. This hypothesis, if validated, have profound implications personalised treatment plans microbiome-based biomarker development.

Language: Английский

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Discovery of an ene-reductase initiating resveratrol catabolism in gut microbiota and its application in disease treatment

Cell Reports, Journal Year: 2025, Volume and Issue: 44(4), P. 115517 - 115517

Published: April 1, 2025

Resveratrol (RSV) is a plant-derived natural compound with multiple biological activities. Upon entering the intestine, RSV undergoes rapid metabolism and transformation by gut microbiota. In this study, we isolated bacterium capable of efficiently metabolizing RSV, Eggerthella lenta J01. Through induced enrichment transcriptomics bioinformatic analyses, identified an reductase (RER) from E. Using RER structure simulation, site-directed mutagenesis, biochemical assays, further determined key amino acids in associated catalytic activity. Studies animal models demonstrated that enhances RSV's ability to alleviate inflammatory bowel disease. Additionally, bioinformatics analysis revealed abundance rer gene microbiota healthy individuals was higher than patients enteritis. Collectively, these findings suggest activity products may be modulated through metabolic transformations.

Language: Английский

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Association between dietary index for gut microbiota and chronic kidney disease: A cross-sectional study from U.S. population

Preventive Medicine Reports, Journal Year: 2025, Volume and Issue: unknown, P. 103060 - 103060

Published: April 1, 2025

Objective: Emerging evidence suggests that diet modulates gut microbiota, which in turn influences chronic kidney disease (CKD) progression. This study investigates the association between newly proposed Dietary Index for Gut Microbiota (DI-GM) and prevalence prognosis of CKD. Methods: cross-sectional analyzed data from U.S. National Health Nutrition Examination Survey 2007-2020. DI-GM scores were calculated based on dietary intake 14 food components, categorized as beneficial or unfavorable. Weighted linear regression model, logistic restricted cubic spline analysis used to assess associations with Results: The CKD among 28,512 participants was 17.4 %. Higher negatively associated (OR = 0.967, 95 %CI: 0.939-0.995, p 0.026) very high-risk 0.877, 0.821-0.937, < 0.001). Beneficial components significantly lower risk 0.928, 0.892-0.966, 0.001), while no significant observed unfavorable components. levels linearly improved (p trend <0.001). Coffee fiber primary contributors both CKD, whole grains primarily impacted its prognosis. Conclusions: DI-GM, driven by is reduced These findings suggest promoting patterns enhance microbiota may play a pivotal role management.

Language: Английский

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Clinical translation of microbiome research

Nature Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: April 11, 2025

Language: Английский

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Moving from genome-scale to community-scale metabolic models for the human gut microbiome

Nature Microbiology, Journal Year: 2025, Volume and Issue: unknown

Published: April 11, 2025

Language: Английский

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Association between dietary index for gut microbiota and female infertility: a cross-sectional NHANES 2013–2020

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: April 23, 2025

Background The relationship between the gut microbiota and infertility has garnered increasing attention. However, associations dietary index for (DI-GM), an indicator of microbial diversity, remain insufficiently explored. Methods We analyzed data from 3,058 participants in NHANES 2013–2020 cycles, employing weighted generalized linear models smooth curve analyses to examine their associations. Mediation analysis was conducted assess role body mass (BMI). Results After adjusting confounding factors, a higher DI-GM score significantly associated with lower prevalence (OR = 0.89, 95% CI 0.81–0.98, p 0.029). Compared individuals 0–3, those ≥6 presented 0.64, 0.43–0.96, 0.039). BMI mediated 5.98% association infertility. Conclusion A is Future studies should employ longitudinal designs validate these findings.

Language: Английский

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