Evidence map›Paper›PMID 38767350›Full record

ArticlemBio2024

Changes in the type 2 diabetes gut mycobiome associate with metformin treatment across populations.

Emily Van Syoc, Michelle Pistner Nixon, Justin D Silverman, Yuhong Luo, Frank J Gonzalez, Ilze Elbere, Janis Klovins, Andrew D Patterson, Connie J Rogers, Erika Ganda

Abstract read
In one paragraph

Article in mBio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Emily Van SyocDepartment of Biology, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0002-9984-534X
Michelle Pistner NixonCollege of Information Sciences and Technology, The Pennsylvania State University, University Park, Pennsylvania, USA.
Justin D SilvermanOne Health Microbiome Center, The Pennsylvania State University, University Park, Pennsylvania, USA.
Yuhong LuoCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Frank J GonzalezCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Ilze ElbereLatvian Biomedical Research and Study Center, Riga, Latvia.
Janis KlovinsLatvian Biomedical Research and Study Center, Riga, Latvia.ORCID 0000-0001-8362-5505
Andrew D PattersonOne Health Microbiome Center, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0003-2073-0070
Connie J RogersDepartment of Nutritional Sciences, University of Georgia, Athens, Georgia, USA.
Erika GandaDepartment of Animal Science, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0002-8735-0753

Funding

Xenobiotic ReceptorsZIABC005708 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GONZALEZ, FRANK J · 2009 to 2025
$16.4M
Integrative Analysis of Metabolic Phenotypes (IAMP) Predoctoral Training ProgramT32DK120509 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI PATTERSON, ANDREW, PERDEW, GARY H. · 2020 to 2024
$781k
DMS/NIGMS 1: Addressing Measurement Limitations for Sequence Count DataR01GM148972 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI SILVERMAN, JUSTIN D · 2022 to 2024
$600k
HHS | National Institutes of Health (NIH) 1R01GM148972-01Intramural Research Program of the National Cancer InstituteNIDDK NIH HHS T32 DK120509NIGMS NIH HHS R01 GM148972Penn State College of Agriculture Graduate Student Competitive GrantPSU/NIDDK Integrative Analysis of Metabolic Phenotypes (IAMP) Predoctoral Training Program T32DK120509USDA NIFA AFRI Predoctoral Fellowship 2022-67011-36461USDA NIFA and Hatch Appropriation Project #PEN04752 Accession #1023328
6 · The paper itself

Abstract

The human gut teems with a diverse ecosystem of microbes, yet non-bacterial portions of that community are overlooked in studies of metabolic diseases firmly linked to gut bacteria. Type 2 diabetes mellitus (T2D) is associated with compositional shifts in the gut bacterial microbiome and the mycobiome, the fungal portion of the microbiome. However, whether T2D and/or metformin treatment underpins fungal community changes is unresolved. To differentiate these effects, we curated a gut mycobiome cohort spanning 1,000 human samples across five countries and validated our findings in a murine experimental model. We use Bayesian multinomial logistic normal models to show that T2D and metformin both associate with shifts in the relative abundance of distinct gut fungi. T2D is associated with shifts in the Saccharomycetes and Sordariomycetes fungal classes, while the genera IMPORTANCE: This is the largest to-date multi-country cohort characterizing the human gut mycobiome, and the first to investigate potential perturbations in gut fungi from oral pharmaceutical treatment. We demonstrate the reproducible effects of metformin treatment on the human and murine gut mycobiome and highlight a need to consider metformin as a confounding factor in investigations between type 2 diabetes mellitus and the gut microbial ecosystem.

Indexed as

Diabetes Mellitus, Type 2FungiGastrointestinal MicrobiomeHypoglycemic AgentsMetforminMycobiomeAnimalsCohort StudiesFemaleHumansMaleMiceMice, Inbred C57BLMiddle AgedHypoglycemic AgentsMetformingut microbiomegut mycobiomemetagenomicsType 2 diabetes mellitus

Identifiers

PMID38767350
PMCPMC11237675

What OpenQuestion holds

Texttitle and abstract
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.