Evidence map›Paper›PMID 36782070›Full record

ArticleNature biotechnology2023

gutSMASH predicts specialized primary metabolic pathways from the human gut microbiota.

Victòria Pascal Andreu, Hannah E Augustijn, Lianmin Chen, Alexandra Zhernakova, Jingyuan Fu, Michael A Fischbach, Dylan Dodd, Marnix H Medema

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
17.2field-weighted citation impact, top 1% of its field
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

81 citing papers in PubMed, 114 citations in OpenAlex.

  1. Gut microbes · 2026
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21 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 at 4 institutions in 3 countries.

Victòria Pascal AndreuBioinformatics Group, Wageningen University, Wageningen, The Netherlands.ORCID 0000-0001-9609-9401
Hannah E Augustijn *Bioinformatics Group, Wageningen University, Wageningen, The Netherlands.ORCID 0000-0002-1862-6699
Lianmin Chen *Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0003-0660-3518
Alexandra ZhernakovaDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0002-4574-0841
Jingyuan FuDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0001-5578-1236
Michael A FischbachDepartment of Bioengineering, Stanford University, Stanford, CA, USA. fischbach@fischbachgroup.org.ORCID 0000-0003-3079-8247
Dylan DoddDepartment of Microbiology and Immunology, Stanford University, Stanford, CA, USA. ddodd2@stanford.edu.ORCID 0000-0001-6210-6239
Marnix H MedemaBioinformatics Group, Wageningen University, Wageningen, The Netherlands. marnix.medema@wur.nl.ORCID 0000-0002-2191-2821
University Medical Center Groningen · NLWageningen University & Research · NLChan Zuckerberg Initiative (United States) · USStanford Medicine · US

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
Dietary and Microbial Reprogramming of Intestinal Microbiota-Produced MetabolitesR01DK101674 · NIDDK · STANFORD UNIVERSITY · PI FISCHBACH, MICHAEL ANDREW, MEYER, TIMOTHY W · 2014 to 2024
$6.5M
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
Microbiota-based probiotics to treat inborn errors in metabolismR01AT011396 · NCCIH · STANFORD UNIVERSITY · PI Dylan Dodd · 2022 to 2026
$2.9M
Physiology of bacterial metabolism in the human gut microbiomeR35GM142873 · NIGMS · STANFORD UNIVERSITY · PI DODD, DYLAN · 2021 to 2025
$2.0M
Modulation of gut bacteria-derived host metabolitesK08DK110335 · NIDDK · STANFORD UNIVERSITY · PI DODD, DYLAN · 2018 to 2021
$573k
NCCIH NIH HHS R01 AT011396NHLBI NIH HHS P01 HL147823NIDDK NIH HHS DP1 DK113598NIDDK NIH HHS K08 DK110335NIDDK NIH HHS R01 DK101674NIGMS NIH HHS R35 GM142873
6 · The paper itself

Abstract

The gut microbiota produce hundreds of small molecules, many of which modulate host physiology. Although efforts have been made to identify biosynthetic genes for secondary metabolites, the chemical output of the gut microbiome consists predominantly of primary metabolites. Here we introduce the gutSMASH algorithm for identification of primary metabolic gene clusters, and we used it to systematically profile gut microbiome metabolism, identifying 19,890 gene clusters in 4,240 high-quality microbial genomes. We found marked differences in pathway distribution among phyla, reflecting distinct strategies for energy capture. These data explain taxonomic differences in short-chain fatty acid production and suggest a characteristic metabolic niche for each taxon. Analysis of 1,135 individuals from a Dutch population-based cohort shows that the level of microbiome-derived metabolites in plasma and feces is almost completely uncorrelated with the metagenomic abundance of corresponding metabolic genes, indicating a crucial role for pathway-specific gene regulation and metabolite flux. This work is a starting point for understanding differences in how bacterial taxa contribute to the chemistry of the microbiome.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaBacteriaFecesHumansMetabolic Networks and Pathways

Identifiers

PMID36782070
PMCPMC10423304
OpenAlexW4320486508

What OpenQuestion holds

Textmetadata
LicenceTDM
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.