Qiyi Chen, Chunyan Wu, Jinfeng Xu, Chen Ye, Xiang Chen, Hongliang Tian, Naixin Zong, Shaoyi Zhang, Long Li, Yuan Gao, Di Zhao, Xiaoqiong Lv, Qilin Yang, Le Wang, Jiaqu Cui, Zhiliang Lin, Jubao Lu, Rong Yang, Fang Yin, Nan Qin, Ning Li, Qian Xu, Huanlong Qin
{"title":"供体-受体微生物间的相互作用影响亚种转移和粪便微生物群移植的结果。","authors":"Qiyi Chen, Chunyan Wu, Jinfeng Xu, Chen Ye, Xiang Chen, Hongliang Tian, Naixin Zong, Shaoyi Zhang, Long Li, Yuan Gao, Di Zhao, Xiaoqiong Lv, Qilin Yang, Le Wang, Jiaqu Cui, Zhiliang Lin, Jubao Lu, Rong Yang, Fang Yin, Nan Qin, Ning Li, Qian Xu, Huanlong Qin","doi":"10.1016/j.chom.2024.01.013","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":93926,"journal":{"name":"Cell host & microbe","volume":" ","pages":"349-365.e4"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Donor-recipient intermicrobial interactions impact transfer of subspecies and fecal microbiota transplantation outcome.\",\"authors\":\"Qiyi Chen, Chunyan Wu, Jinfeng Xu, Chen Ye, Xiang Chen, Hongliang Tian, Naixin Zong, Shaoyi Zhang, Long Li, Yuan Gao, Di Zhao, Xiaoqiong Lv, Qilin Yang, Le Wang, Jiaqu Cui, Zhiliang Lin, Jubao Lu, Rong Yang, Fang Yin, Nan Qin, Ning Li, Qian Xu, Huanlong Qin\",\"doi\":\"10.1016/j.chom.2024.01.013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":93926,\"journal\":{\"name\":\"Cell host & microbe\",\"volume\":\" \",\"pages\":\"349-365.e4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell host & microbe\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.chom.2024.01.013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/2/16 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell host & microbe","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.chom.2024.01.013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/16 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Donor-recipient intermicrobial interactions impact transfer of subspecies and fecal microbiota transplantation outcome.
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.