Evidence map›Paper›PMID 32994289›Full record

ReviewmSystems2020

The Gut Microbiome and Individual-Specific Responses to Diet.

Avner Leshem, Eran Segal, Eran Elinav

Abstract readReview
In one paragraph

Review in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

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

  1. Impacts of Lifestyle and Microbiota-Targeted Interventions for Overweight and Obesity on the Human Gut Microbiome: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  11. Protocol of a Series ofCurrent developments in nutrition · 2025
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  17. The gut microbiome connects nutrition and human health.Nature reviews. Gastroenterology & hepatology · 2025
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7 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

3 authors.

Avner LeshemDepartment of Immunology, Weizmann Institute of Science, Rehovot, Israel.
Eran SegalDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel eran.segal@weizmann.ac.il eran.elinav@weizmann.ac.il.
Eran ElinavDepartment of Immunology, Weizmann Institute of Science, Rehovot, Israel eran.segal@weizmann.ac.il eran.elinav@weizmann.ac.il.ORCID https://orcid.org/0000-0002-5775-2110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nutritional content and timing are increasingly appreciated to constitute important human variables collectively impacting all aspects of human physiology and disease. However, person-specific mechanisms driving nutritional impacts on the human host remain incompletely understood, while current dietary recommendations remain empirical and nonpersonalized. Precision nutrition aims to harness individualized bodies of data, including the human gut microbiome, in predicting person-specific physiological responses (such as glycemic responses) to food. With these advances notwithstanding, many unknowns remain, including the long-term efficacy of such interventions in delaying or reversing human metabolic disease, mechanisms driving these dietary effects, and the extent of the contribution of the gut microbiome to these processes. We summarize these conceptual advances, while highlighting challenges and means of addressing them in the next decade of study of precision medicine, toward generation of insights that may help to evolve precision nutrition as an effective future tool in a variety of "multifactorial" human disorders.

Indexed as

machine learningmicrobiomepersonalized nutrition

Identifiers

PMID32994289
PMCPMC7527138

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.