Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China; Institute of Gut Microbiota Research and Engineering Development, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Institute of Gut Microbiota Research and Engineering Development, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China; Realbio Genomics Institute, Shanghai 200050, China.
Cell Host Microbe. 2024 Mar 13;32(3):349-365.e4. doi: 10.1016/j.chom.2024.01.013. Epub 2024 Feb 16.
Studies on fecal microbiota transplantation (FMT) have reported inconsistent connections between clinical outcomes and donor strain engraftment. Analyses of subspecies-level crosstalk and its influences on lineage transfer in metagenomic FMT datasets have proved challenging, as single-nucleotide polymorphisms (SNPs) are generally not linked and are often absent. Here, we utilized species genome bin (SGB), which employs co-abundance binning, to investigate subspecies-level microbiome dynamics in patients with autism spectrum disorder (ASD) who had gastrointestinal comorbidities and underwent encapsulated FMT (Chinese Clinical Trial: 2100043906). We found that interactions between donor and recipient microbes, which were overwhelmingly phylogenetically divergent, were important for subspecies transfer and positive clinical outcomes. Additionally, a donor-recipient SGB match was indicative of a high likelihood of strain transfer. Importantly, these ecodynamics were shared across FMT datasets encompassing multiple diseases. Collectively, these findings provide detailed insight into specific microbial interactions and dynamics that determine FMT success.
粪便微生物群移植(FMT)的研究报告称,临床结果与供体菌株定植之间的联系不一致。在宏基因组 FMT 数据集的亚种水平的串扰及其对谱系转移的影响的分析中,由于单核苷酸多态性(SNP)通常不相关且经常缺失,因此证明具有挑战性。在这里,我们利用种基因组 bin(SGB),它采用共丰度 binning,来研究患有胃肠道合并症并接受封装 FMT(中国临床试验:2100043906)的自闭症谱系障碍(ASD)患者亚种水平的微生物组动态。我们发现,供体和受体微生物之间的相互作用,这些微生物在系统发育上存在很大差异,对于亚种转移和阳性临床结果很重要。此外,供体-受体 SGB 匹配表明菌株转移的可能性很高。重要的是,这些生态动力学在包含多种疾病的 FMT 数据集之间是共享的。总的来说,这些发现提供了对决定 FMT 成功的特定微生物相互作用和动态的详细了解。