Evidence map›Paper›PMID 35690059›Full record

ArticleMed (New York, N.Y.)2022

Heterogeneity in statin responses explained by variation in the human gut microbiome.

Tomasz Wilmanski, Sergey A Kornilov, Christian Diener, Matthew P Conomos, Jennifer C Lovejoy, Paola Sebastiani, Eric S Orwoll, Leroy Hood, Nathan D Price, Noa Rappaport and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Med (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 3% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Roles of the gut microbiome in weight management.Nature reviews. Microbiology · 2023
    Pooled it
  2. Review
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  4. Article
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  8. New Personalized Medicine Model for Medication Management.Journal of personalized medicine · 2026
    Review
  9. Article
  10. Review
  11. Review
  12. Article
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  15. Article
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  19. Review
  20. The gut microbiota in thrombosis.Nature reviews. Cardiology · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Tomasz WilmanskiInstitute for Systems Biology, Seattle, WA 98109, USA.
Sergey A KornilovInstitute for Systems Biology, Seattle, WA 98109, USA.
Christian DienerInstitute for Systems Biology, Seattle, WA 98109, USA.
Matthew P ConomosUniversity of Washington, Genetic Analysis Center, Seattle, WA 98195, USA.
Jennifer C LovejoyInstitute for Systems Biology, Seattle, WA 98109, USA.
Paola SebastianiInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA.
Eric S OrwollOregon Health Sciences University, Portland, OR 97239, USA.
Leroy HoodInstitute for Systems Biology, Seattle, WA 98109, USA.
Nathan D PriceInstitute for Systems Biology, Seattle, WA 98109, USA; Thorne HealthTech, New York, NY 10019, USA.
Noa RappaportInstitute for Systems Biology, Seattle, WA 98109, USA. Electronic address: noa.rappaport@isbscience.org.
Andrew T MagisInstitute for Systems Biology, Seattle, WA 98109, USA. Electronic address: amagis@isbscience.org.
Sean M GibbonsInstitute for Systems Biology, Seattle, WA 98109, USA; University of Washington, Department of Bioengineering, Seattle, WA 98105, USA; University of Washington, eScience Institute, Seattle, WA 98195, USA. Electronic address: sgibbons@isbscience.org.
Institute for Systems Biology · USUniversity of Washington · USOregon Health & Science University · USTufts Medical Center · US

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI Thomas Girke, NICHOLAS Joseph SCHORK · 2004 to 2026
$102.6M
Integrative Omics to enhance therapeutics development for healthy agingUH3AG064706 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI MILLER, RICHARD A, SCHORK, NICHOLAS JOSEPH · 2021 to 2024
$3.3M
NIA NIH HHS U19 AG023122NIA NIH HHS UH3 AG064706
6 · The paper itself

Abstract

backgroundStatins remain one of the most prescribed medications worldwide. While effective in decreasing atherosclerotic cardiovascular disease risk, statin use is associated with adverse effects for a subset of patients, including disrupted metabolic control and increased risk of type 2 diabetes.

methodsWe investigated the potential role of the gut microbiome in modifying patient responses to statin therapy across two independent cohorts (discovery n = 1,848, validation n = 991). Microbiome composition was assessed in these cohorts using stool 16S rRNA amplicon and shotgun metagenomic sequencing, respectively. Microbiome associations with markers of statin on-target and adverse effects were tested via a covariate-adjusted interaction analysis framework, utilizing blood metabolomics, clinical laboratory tests, genomics, and demographics data.

findingsThe hydrolyzed substrate for 3-hydroxy-3-methylglutarate-coenzyme-A (HMG-CoA) reductase, HMG, emerged as a promising marker for statin on-target effects in cross-sectional cohorts. Plasma HMG levels reflected both statin therapy intensity and known genetic markers for variable statin responses. Through exploring gut microbiome associations between blood-derived measures of statin effectiveness and adverse metabolic effects of statins, we find that heterogeneity in statin responses was consistently associated with variation in the gut microbiome across two independent cohorts. A Bacteroides-enriched and diversity-depleted gut microbiome was associated with more intense statin responses, both in terms of on-target and adverse effects.

conclusionsWith further study and refinement, gut microbiome monitoring may help inform precision statin treatment.

fundingThis research was supported by the M.J. Murdock Charitable Trust, WRF, NAM Catalyst Award, and NIH grant U19AG023122 awarded by the NIA.

Indexed as

Diabetes Mellitus, Type 2Gastrointestinal MicrobiomeHydroxymethylglutaryl-CoA Reductase InhibitorsMicrobiotaCross-Sectional StudiesHumansRNA, Ribosomal, 16SHydroxymethylglutaryl-CoA Reductase InhibitorsRNA, Ribosomal, 16Scardiometabolic healthmicrobiomepersonalized medicinepharmacogenomicspharmacomicrobiomicsstatinsTranslation to patients

Identifiers

PMID35690059
PMCPMC9261472
OpenAlexW4280572368

What OpenQuestion holds

Texttitle and abstract
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.