Evidence map›Paper›PMID 40715814›Full record

ArticleNature medicine2025

AI-driven multi-omics modeling of myalgic encephalomyelitis/chronic fatigue syndrome.

Ruoyun Xiong, Elizabeth Aiken, Ryan Caldwell, Suzanne D Vernon, Lina Kozhaya, Courtney Gunter, Lucinda Bateman, Derya Unutmaz, Julia Oh

Abstract read
In one paragraph

Article in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Artificial intelligence virtual bone organoids (AIVBOs).Journal of orthopaedic translation · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Sleep in myalgic encephalomyelitis/chronic fatigue syndrome shows marked night-to-night fluctuation under free-living conditions-results from a matched case-control study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
  12. Review
  13. Review
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  16. Article
  17. Article
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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

9 authors.

Ruoyun XiongDuke University, Durham, NC, USA.ORCID http://orcid.org/0000-0001-8107-3452
Elizabeth AikenThe Jackson Laboratory, Farmington, CT, USA.ORCID http://orcid.org/0000-0003-0588-5066
Ryan CaldwellThe Jackson Laboratory, Farmington, CT, USA.
Suzanne D VernonBateman Horne Center, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0002-5241-8914
Lina KozhayaThe Jackson Laboratory, Farmington, CT, USA.
Courtney GunterThe University of Connecticut Health Center, Farmington, CT, USA.ORCID http://orcid.org/0000-0002-5203-7409
Lucinda BatemanBateman Horne Center, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0002-9546-9922
Derya UnutmazThe Jackson Laboratory, Farmington, CT, USA.ORCID http://orcid.org/0000-0001-8898-6633
Julia OhDuke University, Durham, NC, USA. julia.oh@duke.edu.ORCID http://orcid.org/0000-0002-5534-7023

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI Paul Robson · 1985 to 2026
$61.9M
Technology Development Project - Increasing the complexity of ex vivo human airway models for studying immune response to viral infectionU19AI142733 · NIAID · JACKSON LABORATORY · PI Anna Karolina Palucka · 2019 to 2026
$23.1M
Topological Mapping of Immune, Microbiota, Metabolomic and Clinical Phenotypes to Reveal ME/CFS Disease Mechanisms - Clinical Research ProjectU54NS105539 · NINDS · JACKSON LABORATORY · PI VERNON, SUZANNE D · 2017 to 2022
$10.6M
Metagenomes to Therapeutics: Defining the Rules for Engineering the Skin MicrobiomeDP2GM126893 · NIGMS · JACKSON LABORATORY · PI OH, JULIA · 2017 to 2017
$2.8M
Molecular Mechanisms of Staphylococcus Epidermidis Strain DiversityR01AR078634 · NIAMS · JACKSON LABORATORY · PI OH, JULIA · 2021 to 2025
$2.5M
Skin Microbiome of Monogenic Skin DisordersR21AR075174 · NIAMS · JACKSON LABORATORY · PI OH, JULIA · 2019 to 2022
$466k
NCI NIH HHS P30 CA034196NIAID NIH HHS U19 AI142733NIAMS NIH HHS R01 AR078634NIAMS NIH HHS R21 AR075174NIGMS NIH HHS DP2 GM126893NINDS NIH HHS U54 NS105539U.S. Department of Health & Human Services | National Institutes of Health (NIH) DP2 GM126893-01
6 · The paper itself

Abstract

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic illness with a multifactorial etiology and heterogeneous symptomatology, posing major challenges for diagnosis and treatment. Here we present BioMapAI, a supervised deep neural network trained on a 4-year, longitudinal, multi-omics dataset from 249 participants, which integrates gut metagenomics, plasma metabolomics, immune cell profiling, blood laboratory data and detailed clinical symptoms. By simultaneously modeling these diverse data types to predict clinical severity, BioMapAI identifies disease- and symptom-specific biomarkers and classifies ME/CFS in both held-out and independent external cohorts. Using an explainable AI approach, we construct a unique connectivity map spanning the microbiome, immune system and plasma metabolome in health and ME/CFS adjusted for age, gender and additional clinical factors. This map uncovers altered associations between microbial metabolism (for example, short-chain fatty acids, branched-chain amino acids, tryptophan, benzoate), plasma lipids and bile acids, and heightened inflammatory responses in mucosal and inflammatory T cell subsets (MAIT, γδT) secreting IFN-γ and GzA. Overall, BioMapAI provides unprecedented systems-level insights into ME/CFS, refining existing hypotheses and hypothesizing unique mechanisms-specifically, how multi-omics dynamics are associated to the disease's heterogeneous symptoms.

Indexed as

Artificial IntelligenceFatigue Syndrome, ChronicAdultBiomarkersFemaleGastrointestinal MicrobiomeHumansLongitudinal StudiesMaleMetabolomeMetabolomicsMetagenomicsMiddle AgedMultiomicsNeural Networks, ComputerBiomarkers

Identifiers

PMID40715814
PMCPMC12416096

What OpenQuestion holds

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Registered trials

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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.