Evidence map›Paper›PMID 41266305›Full record

ArticleNature communications2025

A taxon-specific measurement of disruption in a multi-modal study of microbiomes and metabolomes reveals system-wide dysbiosis preceding HIV-1 infection.

F Fouladi, Y Chen, S Bera, A K Jarmusch, D Van Tyne, F J Palella, J B Margolick, K W Chew, J Sun, J Martinson and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2025. 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.

No citing paper in PubMed yet.

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

12 authors.

F FouladiBiostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, USA.
Y ChenDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0002-9190-0455
S BeraBiostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, USA.
A K JarmuschImmunity, Inflammation, and Disease Laboratory, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, USA.ORCID http://orcid.org/0000-0002-2228-6308
D Van TyneDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0001-7284-0103
F J PalellaDivision of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
J B MargolickDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
K W ChewDivision of Infectious Diseases, Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-4865-4348
J SunDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-3741-0962
J MartinsonDepartment of Infectious Diseases and Microbiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0003-4673-7238
C R RinaldoDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
S D PeddadaBiostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, USA. peddada@nih.gov.ORCID http://orcid.org/0000-0003-1276-7252

Funding

Sex differences in the role of multi-omicsin HIV-associated carotid artery atherosclerosisU01HL146193 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Stephen J Gange, Elizabeth Topper · 2019 to 2026
$35.8M
University of Pittsburgh MWCCS Clinical Research SiteU01HL146208 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Bernard Jonas C Macatangay, CHARLES R RINALDO · 2019 to 2026
$32.2M
Study of Hearing and Balance in Middle Aged and Aging Men and Women in the MACS-WIHS Combined Cohort StudyU01HL146333 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Roger Detels, Matthew James Mimiaga · 2019 to 2026
$32.2M
National Metabolomics Data Repository - nextgen Metabolomics WorkbenchU2CDK119886 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2018 to 2021
$12.7M
Mass Spectrometry-based Untargeted MetabolomicsZICES103363 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI JARMUSCH, ALAN · 2021 to 2025
$6.5M
Constrained Statistical InferenceZIAES103389 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PEDDADA, SHYAMAL · 2023 to 2025
$3.2M
Biomedical Data Commons Workbench (BDCW)OT2OD030544 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2020 to 2024
$3.2M
Collaboration on HIV and AgingResearch through the Study of MitochondriaK01AI162247 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Jing Sun · 2022 to 2026
$677k
Investigation of dysbiosis in oral and gut microbiome in HIV infectionZIAES103400 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PEDDADA, SHYAMAL · 2024 to 2025
$506k
Intramural NIH HHS ZIA ES103389Intramural NIH HHS ZIA ES103400Intramural NIH HHS ZIC ES103363NHLBI NIH HHS U01 HL146193NHLBI NIH HHS U01 HL146208NHLBI NIH HHS U01 HL146333NIAID NIH HHS K01 AI162247NIDDK NIH HHS U2C DK119886NIH HHS OT2 OD030544U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS) ZIA ES 103389U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS) ZIA ES 103400
6 · The paper itself

Abstract

The microbiome plays an important role in immune responses and inflammation in HIV-1 infection. Hence, a deeper understanding of the changes in the microbiome, its function and metabolites, and their interactions prior to HIV-1 infection is potentially important for HIV-1 prevention strategies. Using stool, oral washes, and plasma biospecimens obtained from men who have sex with men (MSM) and who were without HIV-1, we found several differences in microbial ecologies, gene functions, and metabolites between MSM who became HIV-1 infected (Pre-HIV) within six months and those who remained HIV-1 uninfected (Non-HIV). The Pre-HIV group had an enrichment of enzymes involved in purine metabolism, lower amino acid metabolism, and higher oxidative stress before the infection compared to the Non-HIV group. We also introduced a novel and broadly applicable taxon-specific measure of DISruption in COrrelations (DISCO) with other features, such as microbial taxa and metabolites in a given group (e.g., Pre-HIV group) relative to a reference group (e.g., Non-HIV group). Using DISCO, we identified several gut and oral species with disrupted correlations prior to HIV-1 infection. Application of DISCO to external datasets revealed that Prevotella spp. are consistently disrupted in their correlations across multiple cohorts prior to or following HIV-1 infection.

Indexed as

DysbiosisHIV-1HIV InfectionsMetabolomeMicrobiotaAdultFecesGastrointestinal MicrobiomeHomosexuality, MaleHumansMaleMiddle AgedPurinesPurines

Identifiers

PMID41266305
PMCPMC12635353

What Socratic holds

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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 Socratic graph.