A Randomized Pilot Study of Time-Restricted Eating Shows Minimal Microbiome Changes
Johnson AJ, Alvear A, Knights D, Chow LS, Bantle AE
Nutrients · 4 citas
Cómo se estudió
- Diseño
- Ensayo controlado aleatorizado (indexado por PubMed)
- Estudiado en
- Personas
- Resultado principal
- Marcadores de salud y funcionamiento
Quién lo pagó
- Financiación
- Financiación independiente
- Universidad u hospital
- University of Minnesota
- Gobierno
- National Institutes of Health
- Universidad u hospital
- Healthy Foods, Healthy Lives Institute, University of Minnesota
- Gobierno
- National Institute of Diabetes and Digestive and Kidney Diseases
- Gobierno
- National Center for Advancing Translational Sciences
- Gobierno
- NIDDK NIH HHS
- Universidad u hospital
- Healthy Foods, Healthy Lives Institute at the University of Minnesota
- Gobierno
- National Institutes of Health, National Center of Advancing Translational Sciences
- Gobierno
- NCATS NIH HHS
- Gobierno
- National Institutes of Health’s National Center for Advancing Translational Sciences
- Gobierno
- National Institutes of Health, National Center for Advancing Translational Sciences
- Subvenciones
- National Center for Advancing Translational Sciences ((UL1-TR002494)); University of Minnesota (UL1 TR002494); National Institute of Diabetes and Digestive and Kidney Diseases (KL2TR002492); National Institute of Diabetes and Digestive and Kidney Diseases (UL1-TR-002494); National Center for Advancing Translational Sciences (KL2TR002492); National Institute of Diabetes and Digestive and Kidney Diseases (17SFR-2YR50LC); Healthy Foods, Healthy Lives Institute, University of Minnesota (17SFR-2YR50LC); National Institute of Diabetes and Digestive and Kidney Diseases (K23 DK115906); National Institutes of Health (UL1‐TR‐002494); National Institutes of Health (KL2TR002492)
Según 11 financiadores declarados y la declaración de financiación del texto completo.
Publicación
- Publicado
- 2025-01-04 · Nutrients · vol. 17 · número 1 · pág. 185
- Editorial
- Multidisciplinary Digital Publishing Institute
- Citado
- 7 citas · más que el 83% de estudios similares · 1.8× el promedio de su campo
- Referencias
- 34 trabajos
- Acceso
- Acceso abierto (revista) · CC-BY
- Áreas de investigación
- Gut microbiota and health · Dietary Effects on Health · Gastrointestinal motility and disorders
- Palabras clave
- time-restricted eating, gut microbiota, obesity treatment, eating window, microbial diversity, alpha diversity, beta diversity, weight loss, visceral fat, body composition, microbiota-targeted interventions
- MeSH
- feces, humans, obesity, fasting, pilot projects, body composition, time factors, adult, middle aged, female, male, gastrointestinal microbiome
5 autores
- Abigail J. Johnson🇺🇸University of Minnesota
- ALISON C. ALVEAR🇺🇸University of Minnesota
- Dan Knights🇺🇸University of Minnesota
- Lisa Senye Chow🇺🇸University of Minnesota
- A. Bantle🇺🇸 · autor de correspondenciaUniversity of Minnesota
Resumen
El texto original del estudio, en el idioma en que se publicó.
Objective
TRE is an emerging approach in obesity treatment, yet there is limited data on how it influences gut microbiome composition in humans. Our objective was to characterize the gut microbiome of human participants before and after a TRE intervention. This is a secondary analysis of a previously published clinical trial examining the effects of time-restricted eating (TRE).
Methods
In a previously published, 12-week randomized controlled trial, Chow et al. evaluated the effects of an 8-h TRE intervention on body composition in human participants. Chow et al. demonstrated significant reductions in weight, lean mass, and visceral fat in the TRE group compared to those following time-unrestricted eating (non-TRE). Stool samples were collected by a subset of those participants using home kits at both baseline and post-intervention for shotgun metagenomic sequencing for this secondary analysis. Microbiome community composition was compared before and after intervention as alpha and beta diversity.
Results
Sixteen participants provided stool samples (eight in the TRE group and eight in the non-TRE group). Stool samples were collected from all participants at at least one time point, but both pre- and post-treatment samples were available from only five participants who completed both baseline and post-treatment collections. In alignment with the findings of Chow et al., the participants in the TRE group of the secondary analysis who collected microbiome sample(s) successfully reduced their eating window from an average of 15.3 ± 0.8 h at baseline to 9.3 ± 1.7 h during the intervention (mean ± SD, p < 0.001) and the non-TRE group's eating window remained unchanged. While the TRE group lost weight and visceral fat mass, no effect of the TRE intervention was observed on alpha diversity (Shannon index, Simpson index, and number of taxa, linear mixed models), beta diversity (Bray-Curtis, PERMANOVA), even after controlling for weight and visceral fat changes.
Conclusions
Our analysis did not detect any significant differences in gut microbiome composition or diversity indices between participants undergoing a TRE intervention and those in the control group. The study's findings are limited by a small sample size, short duration, and the collection of stool samples at only two time points. Future studies with larger sample sizes, longer durations, and more frequent sampling, and collection of detailed dietary data are needed to better understand the relationship between TRE and gut microbiome dynamics.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).
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