Evidence map›Paper›PMID 34795283›Full record

ArticleNature communications2021

Temporal variability in quantitative human gut microbiome profiles and implications for clinical research.

Doris Vandeputte, Lindsey De Commer, Raul Y Tito, Gunter Kathagen, João Sabino, Séverine Vermeire, Karoline Faust, Jeroen Raes

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

115 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. Interspecies interaction controlsProceedings of the National Academy of Sciences of the United States of America · 2026
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  20. Design, processing, and modeling for longitudinal multiomics microbiome data.Frontiers in cellular and infection microbiology · 2026
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55 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

8 authors.

Doris VandeputteKU Leuven - University of Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute, Herestraat 49, B-3000, Leuven, Belgium.ORCID http://orcid.org/0000-0003-3019-5585
Lindsey De CommerKU Leuven - University of Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute, Herestraat 49, B-3000, Leuven, Belgium.
Raul Y TitoKU Leuven - University of Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute, Herestraat 49, B-3000, Leuven, Belgium.ORCID http://orcid.org/0000-0001-9660-7621
Gunter KathagenKU Leuven - University of Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute, Herestraat 49, B-3000, Leuven, Belgium.
João SabinoTranslational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, B-3000, Leuven, Belgium.
Séverine VermeireTranslational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, B-3000, Leuven, Belgium.
Karoline FaustKU Leuven - University of Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute, Herestraat 49, B-3000, Leuven, Belgium.ORCID http://orcid.org/0000-0001-7129-2803
Jeroen RaesKU Leuven - University of Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute, Herestraat 49, B-3000, Leuven, Belgium. jeroen.raes@kuleuven.be.ORCID http://orcid.org/0000-0002-1337-041X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While clinical gut microbiota research is ever-expanding, extending reference knowledge of healthy between- and within-subject gut microbiota variation and its drivers remains essential; in particular, temporal variability is under-explored, and a comparison with cross-sectional variation is missing. Here, we perform daily quantitative microbiome profiling on 713 fecal samples from 20 Belgian women over six weeks, combined with extensive anthropometric measurements, blood panels, dietary data, and stool characteristics. We show substantial temporal variation for most major gut genera; we find that for 78% of microbial genera, day-to-day absolute abundance variation is substantially larger within than between individuals, with up to 100-fold shifts over the study period. Diversity, and especially evenness indicators also fluctuate substantially. Relative abundance profiles show similar but less pronounced temporal variation. Stool moisture, and to a lesser extent diet, are the only significant host covariates of temporal microbiota variation, while menstrual cycle parameters did not show significant effects. We find that the dysbiotic Bact2 enterotype shows increased between- and within-subject compositional variability. Our results suggest that to increase diagnostic as well as target discovery power, studies could adopt a repeated measurement design and/or focus analysis on community-wide microbiome descriptors and indices.

Indexed as

AdultBacteriaBelgiumDietFecesFemaleGastrointestinal MicrobiomeGenetic VariationHumansMiddle AgedPopulation DynamicsRNA, Ribosomal, 16SSequence Analysis, DNASpecies SpecificityTime FactorsRNA, Ribosomal, 16S

Identifiers

PMID34795283
PMCPMC8602282

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Registered trials

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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.