Evidence map›Paper›PMID 31477923›Full record

ArticleNature biotechnology2019

Blood metabolome predicts gut microbiome α-diversity in humans.

Tomasz Wilmanski, Noa Rappaport, John C Earls, Andrew T Magis, Ohad Manor, Jennifer Lovejoy, Gilbert S Omenn, Leroy Hood, Sean M Gibbons, Nathan D Price

Abstract read
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In one paragraph

Article in Nature biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 197 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
197citing papers in PubMed, 5 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

197 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Dynamic Cultivation ofFoods (Basel, Switzerland) · 2026
    Article
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  14. The Metabolomic Signature of Stressful Life Events.medRxiv : the preprint server for health sciences · 2026
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  16. Article
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  18. Materials today. Bio · 2026
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137 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

10 authors.

Tomasz Wilmanski *Institute for Systems Biology, Seattle, WA, USA.
Noa Rappaport *Institute for Systems Biology, Seattle, WA, USA.
John C EarlsInstitute for Systems Biology, Seattle, WA, USA.
Andrew T MagisArivale, Seattle, WA, USA.
Ohad ManorArivale, Seattle, WA, USA.
Jennifer LovejoyInstitute for Systems Biology, Seattle, WA, USA.
Gilbert S OmennCenter for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Leroy HoodInstitute for Systems Biology, Seattle, WA, USA. lhood@systemsbiology.org.ORCID 0000-0001-7158-3678
Sean M GibbonsInstitute for Systems Biology, Seattle, WA, USA. sgibbons@systemsbiology.org.ORCID 0000-0002-8724-7916
Nathan D PriceInstitute for Systems Biology, Seattle, WA, USA. nathan.price@systemsbiology.org.ORCID 0000-0002-4157-0267

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depleted gut microbiome α-diversity is associated with several human diseases, but the extent to which this is reflected in the host molecular phenotype is poorly understood. We attempted to predict gut microbiome α-diversity from ~1,000 blood analytes (laboratory tests, proteomics and metabolomics) in a cohort enrolled in a consumer wellness program (N = 399). Although 77 standard clinical laboratory tests and 263 plasma proteins could not accurately predict gut α-diversity, we found that 45% of the variance in α-diversity was explained by a subset of 40 plasma metabolites (13 of the 40 of microbial origin). The prediction capacity of these 40 metabolites was confirmed in a separate validation cohort (N = 540) and across disease states, showing that our findings are robust. Several of the metabolite biomarkers that are reported here are linked with cardiovascular disease, diabetes and kidney function. Associations between host metabolites and gut microbiome α-diversity were modified in those with extreme obesity (body mass index ≥ 35), suggesting metabolic perturbation. The ability of the blood metabolome to predict gut microbiome α-diversity could pave the way to the development of clinical tests for monitoring gut microbial health.

Indexed as

Gastrointestinal MicrobiomeMetabolomeBacteriaCohort StudiesGenetic VariationHumansMetabolomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

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.