Evidence map›Paper›PMID 31089293›Full record

ArticleNature reviews. Microbiology2019

The ancestral and industrialized gut microbiota and implications for human health.

Erica D Sonnenburg, Justin L Sonnenburg

Abstract read
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In one paragraph

Article in Nature reviews. Microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 252 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
252citing papers in PubMed, 6 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

252 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Gut microbiota associate with disease severity and survival in idiopathic pulmonary fibrosis.American journal of respiratory and critical care medicine · 2026
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192 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

2 authors.

Erica D SonnenburgDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA. erica.sonnenburg@stanford.edu.
Justin L SonnenburgDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA. jsonnenburg@stanford.edu.ORCID http://orcid.org/0000-0003-2299-6817

Funding

Impact of Diet on Intestinal Microbiota-Host DynamicsR01DK085025 · NIDDK · STANFORD UNIVERSITY · PI JUSTIN L SONNENBURG · 2010 to 2026
$6.4M
Defining and Reconstructing the Human Ancestral MicrobiomeDP1AT009892 · NCCIH · STANFORD UNIVERSITY · PI SONNENBURG, JUSTIN L · 2017 to 2021
$5.5M
NCCIH NIH HHS DP1 AT009892NIDDK NIH HHS R01 DK085025
6 · The paper itself

Abstract

Human-associated microbial communities have adapted to environmental pressures. Doses of antibiotics select for a community with increased antibiotic resistance, inflammation is accompanied by expansion of community members equipped to flourish in the presence of immune effectors and Western diets shift the microbiota away from fibre degraders in favour of species that thrive on mucus. Recent data suggest that the microbiota of industrialized societies differs substantially from the recent ancestral microbiota of humans. Rapid modernization, including medical practices and dietary changes, is causing progressive deterioration of the microbiota, and we hypothesize that this may contribute to various diseases prevalent in industrialized societies. In this Opinion article, we explore whether individuals in the industrialized world may be harbouring a microbial community that, while compatible with our environment, is now incompatible with our human biology.

Indexed as

Gastrointestinal MicrobiomeIndustrial DevelopmentChronic DiseaseHealthHumansMicrobiota

Identifiers

What OpenQuestion holds

Textmetadata
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.