Evidence map›Paper›PMID 34262212›Full record

ArticleNature2021

A metabolomics pipeline for the mechanistic interrogation of the gut microbiome.

Shuo Han, Will Van Treuren, Curt R Fischer, Bryan D Merrill, Brian C DeFelice, Juan M Sanchez, Steven K Higginbottom, Leah Guthrie, Lalla A Fall, Dylan Dodd and 2 more

Abstract read
In one paragraph

Article in Nature, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 223 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
223citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Anaerobic riboflavin degradation by human gutJournal of bacteriology · 2026
    Article
  10. Article
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  14. Review
  15. Article
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  19. The gut-joint axis in osteoarthritis.Nature reviews. Rheumatology · 2026
    Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Shuo Han *Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-1181-351X
Will Van Treuren *Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
Curt R FischerChEM-H, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-3386-9813
Bryan D MerrillDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-9967-5539
Brian C DeFeliceChan Zuckerberg Biohub, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-8243-0300
Juan M SanchezChan Zuckerberg Biohub, San Francisco, CA, USA.
Steven K HigginbottomDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
Leah GuthrieDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
Lalla A FallChEM-H, Stanford University, Stanford, CA, USA.
Dylan DoddDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA. ddodd2@stanford.edu.ORCID http://orcid.org/0000-0001-6210-6239
Michael A FischbachChan Zuckerberg Biohub, San Francisco, CA, USA. fischbach@fischbachgroup.org.ORCID http://orcid.org/0000-0003-3079-8247
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

Project 3: Microbiota generated aryl sulfates and secondary bile acids in cardiometabolic diseaseP01HL147823 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI Stanley L Hazen · 2019 to 2026
$17.0M
MOLECULAR BASIS OF HOST-PARASITE INTERACTIONT32AI007328 · NIAID · STANFORD UNIVERSITY · PI JUSTIN L SONNENBURG · 1987 to 2026
$11.9M
Dietary and Microbial Reprogramming of Intestinal Microbiota-Produced MetabolitesR01DK101674 · NIDDK · STANFORD UNIVERSITY · PI FISCHBACH, MICHAEL ANDREW, MEYER, TIMOTHY W · 2014 to 2024
$6.5M
Impact of Diet on Intestinal Microbiota-Host DynamicsR01DK085025 · NIDDK · STANFORD UNIVERSITY · PI JUSTIN L SONNENBURG · 2010 to 2026
$6.4M
A complete map of the top 100 molecules from the gut microbiomeDP1DK113598 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FISCHBACH, MICHAEL ANDREW · 2016 to 2020
$5.5M
Defining and Reconstructing the Human Ancestral MicrobiomeDP1AT009892 · NCCIH · STANFORD UNIVERSITY · PI SONNENBURG, JUSTIN L · 2017 to 2021
$5.5M
Modulation of gut bacteria-derived host metabolitesK08DK110335 · NIDDK · STANFORD UNIVERSITY · PI DODD, DYLAN · 2018 to 2021
$573k
Impact of gut microbiota-derived molecules on mammalian host health and longevityF32AG062119 · NIA · STANFORD UNIVERSITY · PI HAN, SHUO · 2019 to 2021
$202k
NCCIH NIH HHS DP1 AT009892NHLBI NIH HHS P01 HL147823NIAID NIH HHS T32 AI007328NIA NIH HHS F32 AG062119NIDDK NIH HHS DP1 DK113598NIDDK NIH HHS K08 DK110335NIDDK NIH HHS R01 DK085025NIDDK NIH HHS R01 DK101674NIH HHS 5T32 AI007328-32
6 · The paper itself

Abstract

Gut microorganisms modulate host phenotypes and are associated with numerous health effects in humans, ranging from host responses to cancer immunotherapy to metabolic disease and obesity. However, difficulty in accurate and high-throughput functional analysis of human gut microorganisms has hindered efforts to define mechanistic connections between individual microbial strains and host phenotypes. One key way in which the gut microbiome influences host physiology is through the production of small molecules

Indexed as

Gastrointestinal MicrobiomeMetabolomeAnimalsBacteriaBacteroidesGenes, BacterialGenomicsHost Microbial InteractionsHumansMaleMetabolomicsMiceNitrogenPhenotypePhylogenyNitrogen

Identifiers

PMID34262212
PMCPMC8939302

What OpenQuestion holds

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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.