Evidence map›Paper›PMID 41273085›Full record

ArticleNucleic acids research2026

MiMeDB 2.0: the Human Microbial Metabolome Database for 2026.

Ray Kruger, Eponine Oler, Sukanta Saha, Jenna Poelzer, Scott Han, Mark Peter Punsalan, Brittany Green, Fahrin Bushra, Megane Kyes, Fehintola Disu and 14 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
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

24 authors.

Ray KrugerDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Eponine OlerDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Sukanta SahaDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Jenna PoelzerDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Scott HanDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Mark Peter PunsalanDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Brittany GreenDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Fahrin BushraDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Megane KyesDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Fehintola DisuDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Julia WakoliDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Robyn WoudstraDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Elykah TejolDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Omolola FakutanDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Fei WangDepartment of Computing Science, University of Alberta, Edmonton, AB T6G 2E8, Canada.
Brian L LeeDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Tanvir SajedDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Siyang TianDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Claudia Torres-CalzadaDepartment of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2E1, Canada.
Mark BerjanskiiDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Scott MacKayDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Naama KaruTasmanian Independent Metabolomics and Analytical Chemistry Solutions (TIMACS), Hobart, Tasmania 7008, Australia.ORCID 0000-0001-8005-0726
Rima Kadurrah-DaoukDepartment of Medicine, Duke University School of Medicine, Durham, NC 27710, United States.ORCID 0000-0003-1858-5732
David S WishartDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.

Funding

Project 4 - Mechanistic studies on the role of the gut microbiome in models for Alzheimer's diseaseU19AG063744 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ROB KNIGHT, Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
Canada Foundation for Innovation CFI MSIF 42495Canada Research Chairs CRC TIER1 100628Genome AlbertaGenome Alberta, a division of Genome CanadaNatural Sciences and Engineering Research Council of Canada ALLRP 597259-24NIA NIH HHS AG063744/AG/NIA NIH HHS/United StatesNIA NIH HHS U19 AG063744NIHSocial Sciences and Humanities Research Council of Canada 2007-2024-1003Weston Family Foundation UBC F23-05862 WFF
6 · The paper itself

Abstract

The Microbial Metabolome Database (MiMeDB) (https://mimedb.org) is a comprehensive, freely accessible resource linking human-associated microbes to the metabolites they produce, along with their connections to human health, disease, and diet. Since the release of MiMeDB 1.0 in 2023, the database has been substantially expanded and redesigned. Major updates include the systematic addition of millions of newly annotated genes and pathways, thousands of new metabolites, significantly expanded pathway and reaction coverage, along with broader representation of eukaryotic gut microbes. MiMeDB 2.0 now contains >12.9 million annotated microbial genes, over 23.1 million microbial pathways, 29 295 metabolites, 21 829 metabolic reactions, 3725 microbial species and strains, and 514 076 new experimental and predicted nuclear magnetic resonance and mass spectrometry spectra of microbial metabolites. New features, such as detailed microbial descriptions, metabolite origin tags, refined search filters, and species-specific reaction queries, have been added to enhance usability. Likewise, redesigned network and genome viewers have been implemented to support more comprehensive, intuitive, and integrated visualization of complex, multi-omic relationships. The significant addition of more metabolite spectral data and improved spectral search capabilities further strengthen metabolite identification and discovery. Together, these improvements make MiMeDB 2.0 one of the most comprehensive and user-friendly platforms for investigating the human microbiome at a molecular level and exploring the roles of microbes and microbial metabolites in human health, diet, and disease.

Indexed as

Databases, FactualGastrointestinal MicrobiomeMetabolomeMetabolomicsMicrobiotaBacteriaHumansInternetMetabolic Networks and PathwaysSoftware

Identifiers

PMID41273085
PMCPMC12807671

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.