Evidence map›Paper›PMID 34016169›Full record

ArticleMicrobiome2021

Gut microbiome variation modulates the effects of dietary fiber on host metabolism.

Sofia M Murga-Garrido, Qilin Hong, Tzu-Wen L Cross, Evan R Hutchison, Jessica Han, Sydney P Thomas, Eugenio I Vivas, John Denu, Danilo G Ceschin, Zheng-Zheng Tang and 1 more

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 1 pooled it
9.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

99 citing papers in PubMed, 1 synthesis or guideline pooled it, 163 citations in OpenAlex.

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39 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Sofia M Murga-Garrido *Department of Bacteriology, University of Wisconsin-Madison, 1550 Linden Dr., Madison, WI, 53706, USA.
Qilin Hong *Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI, 53792, USA.
Tzu-Wen L Cross *Department of Bacteriology, University of Wisconsin-Madison, 1550 Linden Dr., Madison, WI, 53706, USA.
Evan R HutchisonDepartment of Bacteriology, University of Wisconsin-Madison, 1550 Linden Dr., Madison, WI, 53706, USA.
Jessica HanWisconsin Institute for Discovery, Madison, WI, USA.
Sydney P ThomasWisconsin Institute for Discovery, Madison, WI, USA.
Eugenio I VivasDepartment of Bacteriology, University of Wisconsin-Madison, 1550 Linden Dr., Madison, WI, 53706, USA.
John DenuWisconsin Institute for Discovery, Madison, WI, USA.
Danilo G CeschinUnidad de Bioinformática Traslacional, Centro de Investigación en Medicina Traslacional Severo Amuchástegui, Instituto Universitario de Ciencias Biomédicas de Córdoba, Av. Naciones Unidas 420, 5000, Córdoba, CP, Argentina.
Zheng-Zheng TangDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI, 53792, USA. ztang2@wisc.edu.
Federico E ReyDepartment of Bacteriology, University of Wisconsin-Madison, 1550 Linden Dr., Madison, WI, 53706, USA. ferey@wisc.edu.ORCID 0000-0002-0239-7780
University of Wisconsin–Madison · USWisconsin Institutes for Discovery · US

Funding

Training Program in Translational Cardiovascular Science (TPTCS)T32HL007936 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Lee Lochbaum Eckhardt, Gail A Robertson · 2001 to 2026
$11.6M
Collaborative Cross of the Microbiome and Metabolic DiseaseR01DK108259 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REY, FEDERICO E · 2015 to 2019
$2.1M
Advanced Statistical Methods for Microbiome Data AnalysisR01GM140464 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI TANG, ZHENGZHENG · 2020 to 2023
$1.1M
Agencia Nacional de Promoción Científica y Tecnológica PICT-2017-4497Food and Nutrition Service 2018-08000Foundation for the National Institutes of Health GM140464NHLBI NIH HHS T32 HL007936NIDDK NIH HHS DK108259NIDDK NIH HHS R01 DK108259NIGMS NIH HHS R01 GM140464USDA 2019-67017-29255
6 · The paper itself

Abstract

backgroundThere is general consensus that consumption of dietary fermentable fiber improves cardiometabolic health, in part by promoting mutualistic microbes and by increasing production of beneficial metabolites in the distal gut. However, human studies have reported variations in the observed benefits among individuals consuming the same fiber. Several factors likely contribute to this variation, including host genetic and gut microbial differences. We hypothesized that gut microbial metabolism of dietary fiber represents an important and differential factor that modulates how dietary fiber impacts the host.

resultsWe examined genetically identical gnotobiotic mice harboring two distinct complex gut microbial communities and exposed to four isocaloric diets, each containing different fibers: (i) cellulose, (ii) inulin, (iii) pectin, (iv) a mix of 5 fermentable fibers (assorted fiber). Gut microbiome analysis showed that each transplanted community preserved a core of common taxa across diets that differentiated it from the other community, but there were variations in richness and bacterial taxa abundance within each community among the different diet treatments. Host epigenetic, transcriptional, and metabolomic analyses revealed diet-directed differences between animals colonized with the two communities, including variation in amino acids and lipid pathways that were associated with divergent health outcomes.

conclusionThis study demonstrates that interindividual variation in the gut microbiome is causally linked to differential effects of dietary fiber on host metabolic phenotypes and suggests that a one-fits-all fiber supplementation approach to promote health is unlikely to elicit consistent effects across individuals. Overall, the presented results underscore the importance of microbe-diet interactions on host metabolism and suggest that gut microbes modulate dietary fiber efficacy. Video abstract.

Indexed as

Gastrointestinal MicrobiomeAnimalsDietDietary FiberGerm-Free LifeInulinMiceDietary FiberInulin

Identifiers

PMID34016169
PMCPMC8138933
OpenAlexW3161190141

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.