Evidence map›Paper›PMID 37398234›Full record

ArticlebioRxiv : the preprint server for biology2023

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

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Emily Van SyocDepartment of Biology, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0002-9984-534X
Michelle Pistner NixonCollege of Information Sciences and Technology, The Pennsylvania State University, University Park, PA 16802, USA.
Justin D SilvermanOne Health Microbiome Center, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0002-3063-2098
Yuhong LuoCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Frank J GonzalezCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0002-7990-2140
Ilze ElbereLatvian Biomedical Research and Study Center, Riga, Latvia.ORCID 0000-0003-4381-885X
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, PA 16802, USA.ORCID 0000-0003-2073-0070
Connie J RogersDepartment of Nutritional Sciences, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0003-4072-2721
Erika GandaDepartment of Animal Science, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0002-8735-0753
Pennsylvania State University · USLatvian Biomedical Research and Study Centre · LVNational Institutes of Health · USUniversity of Georgia · US

Funding

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
NIDDK NIH HHS T32 DK120509NIGMS NIH HHS R01 GM148972
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) associates with compositional shifts in the gut bacterial microbiome and fungal mycobiome, but whether T2D and/or pharmaceutical treatments underpin the community change is unresolved. To differentiate these effects, we curated a gut mycobiome cohort to-date spanning 1,000 human samples across 5 countries and a murine experimental model. We use Bayesian multinomial logistic normal models to show that metformin and T2D both associate with shifts in the relative abundance of distinct gut fungi. T2D associates with shifts in the Saccharomycetes and Sordariomycetes fungal classes, while the genera

Indexed as

gut microbiomeGut mycobiomemetagenomicstype 2 diabetes mellitus

Identifiers

PMID37398234
PMCPMC10312434
OpenAlexW4378211170

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.