Evidence map›Paper›PMID 36658342›Full record

ArticleNature biotechnology2023

Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine.

Almut Heinken, Johannes Hertel, Geeta Acharya, Dmitry A Ravcheev, Malgorzata Nyga, Onyedika Emmanuel Okpala, Marcus Hogan, Stefanía Magnúsdóttir, Filippo Martinelli, Bram Nap and 5 more

Abstract 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 168 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
168citing 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

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

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  19. Nutrient control enables metabolic reconstruction ofbioRxiv : the preprint server for biology · 2026
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108 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

15 authors.

Almut HeinkenSchool of Medicine, University of Galway, Galway, Ireland.ORCID http://orcid.org/0000-0001-6938-8072
Johannes HertelSchool of Medicine, University of Galway, Galway, Ireland.
Geeta AcharyaIntegrated BioBank of Luxembourg, Dudelange, Luxembourg.
Dmitry A RavcheevSchool of Medicine, University of Galway, Galway, Ireland.
Malgorzata NygaUniversity of Luxembourg, Esch-sur-Alzette, Luxembourg.
Onyedika Emmanuel OkpalaCzech University of Life Sciences Prague, Prague, Czech Republic.ORCID http://orcid.org/0000-0002-3007-6730
Marcus HoganSchool of Medicine, University of Galway, Galway, Ireland.
Stefanía MagnúsdóttirCenter for Molecular Medicine, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID http://orcid.org/0000-0001-6506-8696
Filippo MartinelliSchool of Medicine, University of Galway, Galway, Ireland.
Bram NapSchool of Medicine, University of Galway, Galway, Ireland.
German PreciatLeiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands.ORCID http://orcid.org/0000-0003-4903-9515
Janaka N EdirisingheComputation Institute, University of Chicago, Chicago, IL, USA.
Christopher S HenryMathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA.
Ronan M T FlemingSchool of Medicine, University of Galway, Galway, Ireland.
Ines ThieleSchool of Medicine, University of Galway, Galway, Ireland. ines.thiele@universityofgalway.ie.ORCID http://orcid.org/0000-0002-8071-7110

Funding

Project 4 - Mechanistic studies on the role of the gut microbiome in models for Alzheimer's diseaseU19AG063744 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
Gut Liver Brain Biochemical Axis in Alzheimer's DiseaseRF1AG058942 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, VAN DUIJN, CORNELIA MARJA · 2018 to 2018
$3.4M
European Research Council 757922NIA NIH HHS RF1 AG058942NIA NIH HHS U19 AG063744
6 · The paper itself

Abstract

The human microbiome influences the efficacy and safety of a wide variety of commonly prescribed drugs. Designing precision medicine approaches that incorporate microbial metabolism would require strain- and molecule-resolved, scalable computational modeling. Here, we extend our previous resource of genome-scale metabolic reconstructions of human gut microorganisms with a greatly expanded version. AGORA2 (assembly of gut organisms through reconstruction and analysis, version 2) accounts for 7,302 strains, includes strain-resolved drug degradation and biotransformation capabilities for 98 drugs, and was extensively curated based on comparative genomics and literature searches. The microbial reconstructions performed very well against three independently assembled experimental datasets with an accuracy of 0.72 to 0.84, surpassing other reconstruction resources and predicted known microbial drug transformations with an accuracy of 0.81. We demonstrate that AGORA2 enables personalized, strain-resolved modeling by predicting the drug conversion potential of the gut microbiomes from 616 patients with colorectal cancer and controls, which greatly varied between individuals and correlated with age, sex, body mass index and disease stages. AGORA2 serves as a knowledge base for the human microbiome and paves the way to personalized, predictive analysis of host-microbiome metabolic interactions.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaGenomeGenomicsHumansPrecision Medicine

Identifiers

PMID36658342
PMCPMC10497413

What OpenQuestion holds

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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.