Evidence map›Paper›PMID 31582752›Full record

ArticleNature communications2019

Interplay between the human gut microbiome and host metabolism.

Alessia Visconti, Caroline I Le Roy, Fabio Rosa, Niccolò Rossi, Tiphaine C Martin, Robert P Mohney, Weizhong Li, Emanuele de Rinaldis, Jordana T Bell, J Craig Venter and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 447 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
447citing papers in PubMed, 4 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

447 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Pooled it
  5. Testosterone administration partially modulates gut microbiota responses to severe energy deficit.American journal of physiology. Endocrinology and metabolism · 2026
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387 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

13 authors.

Alessia ViscontiDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.ORCID http://orcid.org/0000-0003-4144-2019
Caroline I Le RoyDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Fabio RosaDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Niccolò RossiDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Tiphaine C MartinDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Robert P MohneyMetabolon, Inc., Morrisville, NC, USA.ORCID http://orcid.org/0000-0002-9315-9541
Weizhong LiHuman Longevity, Inc, San Diego, CA, USA.ORCID http://orcid.org/0000-0003-1804-9403
Emanuele de RinaldisImmunology & Inflammation, Cluster of Precision Immunology, Sanofi, Cambridge, MA, USA.
Jordana T BellDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.ORCID http://orcid.org/0000-0002-3858-5986
J Craig VenterHuman Longevity, Inc, San Diego, CA, USA.
Karen E NelsonHuman Longevity, Inc, San Diego, CA, USA.
Tim D SpectorDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK. tim.spector@kcl.ac.uk.
Mario FalchiDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK. mario.falchi@kcl.ac.uk.

Funding

Medical Research Council MR/N01183X/1Medical Research Council MR/N030125/1Wellcome Trust
6 · The paper itself

Abstract

The human gut is inhabited by a complex and metabolically active microbial ecosystem. While many studies focused on the effect of individual microbial taxa on human health, their overall metabolic potential has been under-explored. Using whole-metagenome shotgun sequencing data in 1,004 twins, we first observed that unrelated subjects share, on average, almost double the number of metabolic pathways (82%) than species (43%). Then, using 673 blood and 713 faecal metabolites, we found metabolic pathways to be associated with 34% of blood and 95% of faecal metabolites, with over 18,000 significant associations, while species showed less than 3,000 associations. Finally, we estimated that the microbiome was involved in a dialogue between 71% of faecal, and 15% of blood, metabolites. This study underlines the importance of studying the microbial metabolic potential rather than focusing purely on taxonomy to find therapeutic and diagnostic targets, and provides a unique resource describing the interplay between the microbiome and the systemic and faecal metabolic environments.

Indexed as

AgedAged, 80 and overAge DistributionAge FactorsBacteriaBiomarkersDatasets as TopicFecesFemaleGastrointestinal MicrobiomeHost Microbial InteractionsHumansMaleMetabolic Networks and PathwaysMetabolomeMetabolomicsBiomarkers

Identifiers

PMID31582752
PMCPMC6776654

What OpenQuestion holds

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Read underepoch 390

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.