Evidence map›Paper›PMID 39747692›Full record

ArticleNature microbiology2025

Metagenomic immunoglobulin sequencing reveals IgA coating of microbial strains in the healthy human gut.

Matthew R Olm, Sean P Spencer, Tadashi Takeuchi, Evelyn Lemus Silva, Justin L Sonnenburg

Abstract read
In one paragraph

Article in Nature microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Microorganisms · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Single-cell quantification of the microbiota by flow cytometry: MicFLY.bioRxiv : the preprint server for biology · 2025
    Article
  10. 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

5 authors.

Matthew R Olm *Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-5540-350X
Sean P Spencer *Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
Tadashi TakeuchiDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-1693-7490
Evelyn Lemus SilvaDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
Justin L SonnenburgDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA. jsonnenburg@stanford.edu.ORCID http://orcid.org/0000-0003-2299-6817

Funding

MOLECULAR BASIS OF HOST-PARASITE INTERACTIONT32AI007328 · NIAID · STANFORD UNIVERSITY · PI JUSTIN L SONNENBURG · 1987 to 2026
$11.9M
TRAINING GRANT IN ACADEMIC GASTROENTEROLOGYT32DK007056 · NIDDK · STANFORD UNIVERSITY · PI Natalie J. Torok · 1986 to 2026
$6.5M
Impact of Diet on Intestinal Microbiota-Host DynamicsR01DK085025 · NIDDK · STANFORD UNIVERSITY · PI JUSTIN L SONNENBURG · 2010 to 2026
$6.4M
Defining and Reconstructing the Human Ancestral MicrobiomeDP1AT009892 · NCCIH · STANFORD UNIVERSITY · PI SONNENBURG, JUSTIN L · 2017 to 2021
$5.5M
Defining Small Intestinal Microbial Landscapes To Improve Therapeutics For Gastrointestinal DiseaseK08DK134856 · NIDDK · STANFORD UNIVERSITY · PI Sean Paul Spencer · 2023 to 2026
$664k
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
30-parameter FACSymphony A3 flow cytometer for Shared Resource LabS10OD026831 · OD · STANFORD UNIVERSITY · PI NOLAN, GARRY P · 2019 to 2019
$510k
Understanding mechanisms by which microbial strains and metabolites in fermented foods decrease systemic inflammationF32DK128865 · NIDDK · STANFORD UNIVERSITY · PI OLM, MATTHEW RAYMOND · 2021 to 2023
$186k
NCCIH NIH HHS DP1 AT009892NIAID NIH HHS T32 AI007328NIDDK NIH HHS F32 DK128865NIDDK NIH HHS K08 DK134856NIDDK NIH HHS R01 DK085025NIDDK NIH HHS T32 DK007056NIH HHS S10 OD026831NIH HHS S10 OD026929U.S. Department of Health & Human Services | National Institutes of Health (NIH) DP1AT009892U.S. Department of Health & Human Services | National Institutes of Health (NIH) F32DK128865U.S. Department of Health & Human Services | National Institutes of Health (NIH) K08DK134856U.S. Department of Health & Human Services | National Institutes of Health (NIH) T32DK007056
6 · The paper itself

Abstract

IgA, the primary human antibody secreted from the gut mucosa, shapes the intestinal microbiota. Methodological limitations have hindered defining which microbial strains are targeted by IgA and the implications of binding. Here we develop a technique, metagenomic immunoglobulin sequencing (MIg-seq), that provides strain-level resolution of microbes coated by IgA and use it to determine IgA coating levels for 3,520 gut microbiome strains in healthy human faeces. We find that both health and disease-associated bacteria are targeted by IgA. Microbial genes are highly predictive of IgA binding levels; in particular, mucus degradation genes are correlated with high binding, and replication rates are significantly reduced for microbes bound by IgA. We demonstrate that IgA binding is more correlated with host immune status than traditional relative abundance measures of microbial community composition. This study introduces a powerful technique for assessing strain-level IgA binding in human stool, paving the way for deeper understanding of IgA-based host-microbe interactions.

Indexed as

BacteriaGastrointestinal MicrobiomeImmunoglobulin AMetagenomicsFecesHealthy VolunteersHumansMetagenomeImmunoglobulin A

Identifiers

PMID39747692
PMCPMC11849979

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.