Evidence map›Paper›PMID 31151933›Full record

ReviewEBioMedicine2019

Bringing microbiome-drug interaction research into the clinic.

Leah Guthrie, Libusha Kelly

Abstract readReview
In one paragraph

Review in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Pharmacomicrobiomics.Clinical pharmacology and therapeutics · 2025
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Tutorial: Microbiome studies in drug metabolism.Clinical and translational science · 2022
    Article
  18. Gut microbiome and autoimmune disorders.Clinical and experimental immunology · 2022
    Review
  19. Review
  20. Review
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

2 authors.

Leah GuthrieDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, NY 10461, United States of America.
Libusha KellyDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, NY 10461, United States of America; Department of Microbiology and Immunology, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, NY 10461, United States of America. Electronic address: libusha.kelly@einstein.yu.edu.

Funding

TRAINING PROGRAM IN CELLULAR &MOLEC. BIOLOGY &GENETICST32GM007491 · NIGMS · YESHIVA UNIVERSITY · PI QUERY, CHARLES C · 1985 to 2021
$17.0M
NIGMS NIH HHS T32 GM007491
6 · The paper itself

Abstract

Our understanding of the scope and clinical relevance of gut microbiota metabolism of drugs is limited to relatively few biotransformations targeting a subset of therapeutics. Translating microbiome research into the clinic requires, in part, a mechanistic and predictive understanding of microbiome-drug interactions. This review provides an overview of microbiota chemistry that shapes drug efficacy and toxicity. We discuss experimental and computational approaches that attempt to bridge the gap between basic and clinical microbiome research. We highlight the current landscape of preclinical research focused on identifying microbiome-based biomarkers of patient drug response and we describe clinical trials investigating approaches to modulate the microbiome with the goal of improving drug efficacy and safety. We discuss approaches to aggregate clinical and experimental microbiome features into predictive models and review open questions and future directions toward utilizing the gut microbiome to improve drug safety and efficacy.

Indexed as

Translational Research, BiomedicalAnimalsAnti-Infective AgentsBiodiversityComputational BiologyGastrointestinal MicrobiomeHumansInactivation, MetabolicLiverMetabolic Detoxication, Phase IMetabolic Detoxication, Phase IIMicrobiotaAnti-Infective AgentsDrug metabolismHigh throughput genomicsMetabolomicsMicrobiome

Identifiers

PMID31151933
PMCPMC6604038

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.