Olm Matthew R, Spencer Sean P, Silva Evelyn Lemus, Sonnenburg Justin L
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.
bioRxiv. 2023 Nov 21:2023.11.21.568153. doi: 10.1101/2023.11.21.568153.
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.
免疫球蛋白A(IgA)是人体产生最多的抗体,它不断分泌到肠道中以塑造肠道微生物群。方法学上的局限性严重阻碍了确定哪些微生物菌株是IgA的靶向目标以及原因。在此,我们开发了一种新技术,宏基因组免疫球蛋白测序(MIG-Seq),并使用它来确定健康人体内数千种肠道微生物菌株的IgA包被水平。我们发现,与健康和疾病相关的微生物都有较高的包被水平,并且微生物基因对IgA结合水平具有高度预测性,尤其是黏液降解基因与高结合率相关。我们发现被IgA结合的微生物的复制率显著降低,并证明IgA结合与宿主免疫状态的相关性比传统的微生物丰度测量方法更高。这项研究引入了一种强大的技术,用于评估人类粪便中菌株水平的IgA结合,为更深入了解基于IgA的宿主-微生物相互作用铺平了道路。