Evidence map›Paper›PMID 39934899›Full record

ArticleMicrobiome2025

The intestinal microbiome and metabolome discern disease severity in cytotoxic T-lymphocyte-associated protein 4 deficiency.

Prabha Chandrasekaran, Máté Krausz, Yu Han, Noriko Mitsuiki, Annemarie Gabrysch, Christina Nöltner, Michele Proietti, Theo Heller, Caroline Grou, Virginie Calderon and 10 more

Erratum issuedAbstract read
In one paragraph

Article in Microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Prabha ChandrasekaranLaboratory of Clinical Investigation, National Institute on Aging (NIA), Baltimore, MD, USA.
Máté KrauszCenter for Chronic Immunodeficiency (CCI), Medical Center-University of Freiburg, Freiburg, Germany.
Yu HanLaboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA.
Noriko MitsuikiCenter for Chronic Immunodeficiency (CCI), Medical Center-University of Freiburg, Freiburg, Germany.
Annemarie GabryschCenter for Chronic Immunodeficiency (CCI), Medical Center-University of Freiburg, Freiburg, Germany.
Christina NöltnerCenter for Chronic Immunodeficiency (CCI), Medical Center-University of Freiburg, Freiburg, Germany.
Michele ProiettiCenter for Chronic Immunodeficiency (CCI), Medical Center-University of Freiburg, Freiburg, Germany.
Theo HellerTranslational Hepatology Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, MD, USA.
Caroline GrouBioinformatics Core, Montreal Clinical Research Institute (IRCM), Montreal, QC, Canada.
Virginie CalderonBioinformatics Core, Montreal Clinical Research Institute (IRCM), Montreal, QC, Canada.
Poorani SubramanianBioinformatics and Computational Biosciences Branch (BCBB), Office of Cyber Infrastructure and Computational Biology (OCICB), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA.
Drew R JonesMetabolomics Laboratory, New York University Langone, New York, NY, USA.
Yik SiuMetabolomics Laboratory, New York University Langone, New York, NY, USA.
Clayton DemingNational Human Genome Research Institute (NHGRI), National Institutes of Health (NIH), Bethesda, MD, USA.
Sean ConlanNational Human Genome Research Institute (NHGRI), National Institutes of Health (NIH), Bethesda, MD, USA.
Steven M HollandLaboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA.
Julia A SegreNational Human Genome Research Institute (NHGRI), National Institutes of Health (NIH), Bethesda, MD, USA.
Gulbu Uzel *Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA. guzel@niaid.nih.gov.
Bodo Grimbacher *Center for Chronic Immunodeficiency (CCI), Medical Center-University of Freiburg, Freiburg, Germany. bodo.grimbacher@uniklinik-freiburg.de.
Emilia Liana Falcone *Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA. emilia.falcone@ircm.qc.ca.ORCID 0000-0002-5486-1549

Funding

NIAID NIH HHS HHSN3162013000006W
6 · The paper itself

Abstract

backgroundCytotoxic T-lymphocyte-associated protein 4 deficiency (CTLA4-D) is an inborn error of immunity (IEI) caused by heterozygous mutations, and characterized by immune cell infiltration into the gut and other organs, leading to intestinal disease, immune dysregulation and autoimmunity. While regulatory T-cell dysfunction remains central to CTLA4-D immunopathogenesis, mechanisms driving disease severity and intestinal pathology are unknown but likely involve intestinal dysbiosis. We determined whether the intestinal microbiome and metabolome could distinguish individuals with severe CTLA4-D and identify biomarkers of disease severity.

resultsThe genera Veillonella and Streptococcus emerged as biomarkers that distinguished CTLA4-D from healthy cohorts from both the National Institutes of Health (NIH) Clinical Center, USA (NIH; CTLA-D, n = 32; healthy controls, n = 16), and a geographically distinct cohort from the Center for Chronic Immunodeficiency (CCI) of the Medical Center - University of Freiburg, Germany (CCI; CTLA4-D, n = 25; healthy controls, n = 24). Since IEIs in general may be associated with perturbations of the microbiota, a disease control cohort of individuals with common variable immunodeficiency (CVID, n = 20) was included to evaluate for a CTLA4-D-specific microbial signature. Despite common IEI-associated microbiome changes, the two bacterial genera retained their specificity as biomarkers for CTLA4-D. We further identified intestinal microbiome and metabolomic signatures that distinguished patients with CTLA4-D having severe vs. mild disease. Microbiome changes were associated with distinct stool metabolomic profiles and predicted changes in metabolic pathways. These differences were impacted by the presence of gastrointestinal manifestations and were partially reversed by treatment with abatacept and/or sirolimus.

conclusionsLoss of intestinal microbial diversity and dysbiosis causing metabolomic changes was observed in CTLA4-D. Albeit some of these features were shared with CVID, the distinct changes associated with CTLA4-D highlight the fact that IEI-associated microbiome changes likely reflect the underlying immune dysregulation. Identified candidate intestinal microbial and metabolic biomarkers distinguishing individuals with CTLA4-D based on severity should be studied prospectively to determine their predictive value, and investigated as potential therapeutic ta. Video Abstract.

Indexed as

CTLA-4 AntigenGastrointestinal MicrobiomeMetabolomeAdolescentAdultBiomarkersChildDysbiosisFecesFemaleHumansMaleMiddle AgedSeverity of Illness IndexStreptococcusYoung AdultBiomarkersCTLA-4 AntigenAutoimmunityCommon variable immunodeficiencyCTLA4 deficiencyDisease severityDysbiosisGastrointestinal inflammationImmune dysregulationImmunomodulatorInborn error of immunityMetabolomeMicrobiome

Identifiers

PMID39934899
PMCPMC11817180

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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.