Evidence map›Paper›PMID 38045399›Full record

ArticlebioRxiv : the preprint server for biology2023

Metagenomic Immunoglobulin Sequencing (MIG-Seq) Exposes Patterns of IgA Antibody Binding in the Healthy Human Gut Microbiome.

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

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

4 authors.

Matthew R OlmDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-5540-350X
Sean P SpencerDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-7328-5399
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.

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 OD026929
6 · The paper itself

Abstract

IgA, the most highly produced human antibody, is continually secreted into the gut to shape the intestinal microbiota. Methodological limitations have critically hindered defining which microbial strains are targeted by IgA and why. Here, we develop a new technique, Metagenomic Immunoglobulin Sequencing (MIG-Seq), and use it to determine IgA coating levels for thousands of gut microbiome strains in healthy humans. We find that microbes associated with both health and disease have higher levels of coating, and that microbial genes are highly predictive of IgA binding levels, with mucus degradation genes especially correlated with high binding. We find a significant reduction in replication rates among microbes bound by IgA, and demonstrate that IgA binding is more correlated with host immune status than traditional microbial abundance measures. 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.

Identifiers

PMID38045399
PMCPMC10690254

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.