التفاصيل البيبلوغرافية
| العنوان: |
Metagenomic Immunoglobulin Sequencing (MIG-Seq) Exposes Patterns of IgA Antibody Binding in the Healthy Human Gut Microbiome. |
| المؤلفون: |
Olm MR; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA., Spencer SP; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.; Division of Gastroenterology and Hepatology, Stanford School of Medicine, Stanford, CA, 94305, USA., Silva EL; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA., Sonnenburg JL; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.; Chan Zuckerberg Biohub, San Francisco, CA, USA.; Center for Human Microbiome Studies, Stanford University School of Medicine, Stanford, CA, USA. |
| المصدر: |
BioRxiv : the preprint server for biology [bioRxiv] 2023 Nov 21. Date of Electronic Publication: 2023 Nov 21. |
| نوع المنشور: |
Preprint |
| اللغة: |
English |
| بيانات الدورية: |
Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| مستخلص: |
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.
Competing Interests: Competing interests The authors declare no competing interests. |
| معلومات مُعتمدة: |
DP1 AT009892 United States AT NCCIH NIH HHS; R01 DK085025 United States DK NIDDK NIH HHS; T32 DK007056 United States DK NIDDK NIH HHS; T32 AI007328 United States AI NIAID NIH HHS; K08 DK134856 United States DK NIDDK NIH HHS; S10 OD026929 United States OD NIH HHS; S10 OD026831 United States OD NIH HHS; F32 DK128865 United States DK NIDDK NIH HHS |
| تواريخ الأحداث: |
Date Created: 20231204 Latest Revision: 20231218 |
| رمز التحديث: |
20231218 |
| مُعرف محوري في PubMed: |
PMC10690254 |
| DOI: |
10.1101/2023.11.21.568153 |
| PMID: |
38045399 |
| قاعدة البيانات: |
MEDLINE |
