Evidence map›Paper›PMID 30553752›Full record

ReviewEBioMedicine2019

Bi-directional drug-microbiome interactions of anti-diabetics.

Andrew Whang, Ravinder Nagpal, Hariom Yadav

Open access · goldAbstract 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 74 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 9 pooled it
3.5field-weighted citation impact, top 6% 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

74 citing papers in PubMed, 9 syntheses or guidelines pooled it, 119 citations in OpenAlex.

  1. Pooled it
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  10. Trial
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  18. Role of Gut Microbiota in Diabetic HFpEF: Mechanisms and Therapeutic Implications.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Review
  19. Article
  20. Article

14 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

3 authors at 1 institution in 1 country.

Andrew WhangDepartment of Internal Medicine- Molecular Medicine, Department of Microbiology and Immunology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Ravinder NagpalDepartment of Internal Medicine- Molecular Medicine, Department of Microbiology and Immunology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Hariom YadavDepartment of Internal Medicine- Molecular Medicine, Department of Microbiology and Immunology, Wake Forest School of Medicine, Winston-Salem, NC, USA. Electronic address: hyadav@wakehealth.edu.
Wake Forest University · US

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
NCATS NIH HHS UL1 TR001420
6 · The paper itself

Abstract

Type 2 diabetes (T2D) has become a global epidemic. Although several drugs are available to manage T2D, problems associated with person-to-person variability in drug efficacy and potential side-effects remain unresolved. Owing to the emerging role of the gut microbiome in obesity and T2D, the interaction between gut microbes and anti-diabetic drugs and its influence on drugs' functions remains of immediate research interest. On one hand, drugs can manipulate gut microbiome composition and metabolic capacity. Conversely, the metabolic activities of the microbiome and its metabolites can also influence drug metabolism and effects. Hence, understanding this bi-directional drug-microbiome interaction and how it influences the clinical outcomes of antidiabetic drugs can pave the way to develop next-generation strategies to ameliorate diabetes. This review presents evidences demonstrating the putative interactions between anti-diabetic drugs and the gut microbiome, and discusses the potential of microbiome modulators to manipulate drug-microbiome interactions and the drug metabolism.

Indexed as

ArchaeaBacterial Physiological PhenomenaDiabetes Mellitus, Type 2FungiGastrointestinal MicrobiomeGene Expression RegulationHumansHypoglycemic AgentsVirus Physiological PhenomenaHypoglycemic AgentsDiabetesDrugsMetforminMicrobiomePrebioticsProbioticsType-2 diabetes

Identifiers

PMID30553752
PMCPMC6354569
OpenAlexW2904078035

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.