Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Shanghai Engineering Research Center of Lung Transplantation, Shanghai, China.
Signal Transduct Target Ther. 2023 Sep 1;8(1):326. doi: 10.1038/s41392-023-01515-3.
Whether the alternated microbiota in the gut contribute to the risk of allograft rejection (AR) and pulmonary infection (PI) in the setting of lung transplant recipients (LTRs) remains unexplored. A prospective multicenter cohort of LTRs was identified in the four lung transplant centers. Paired fecal and serum specimens were collected and divided into AR, PI, and event-free (EF) groups according to the diagnosis at sampling. Fecal samples were determined by metagenomic sequencing. And metabolites and cytokines were detected in the paired serum to analyze the potential effect of the altered microbiota community. In total, we analyzed 146 paired samples (AR = 25, PI = 43, and EF = 78). Notably, we found that the gut microbiome of AR followed a major depletion pattern with decreased 487 species and compositional diversity. Further multi-omics analysis showed depleted serum metabolites and increased inflammatory cytokines in AR and PI. Bacteroides uniformis, which declined in AR (2.4% vs 0.6%) and was negatively associated with serum IL-1β and IL-12, was identified as a driven specie in the network of gut microbiome of EF. Functionally, the EF specimens were abundant in probiotics related to mannose and cationic antimicrobial peptide metabolism. Furthermore, a support-vector machine classifier based on microbiome, metabolome, and clinical parameters highly predicted AR (AUPRC = 0.801) and PI (AUPRC = 0.855), whereby the microbiome dataset showed a particularly high diagnostic power. In conclusion, a disruptive gut microbiota showed a significant association with allograft rejection and infection and with systemic cytokines and metabolites in LTRs.
肠道中交替存在的微生物群是否会导致肺移植受者(LTR)发生移植物排斥(AR)和肺部感染(PI)的风险尚不清楚。在四个肺移植中心确定了前瞻性多中心 LTR 队列。采集配对粪便和血清标本,并根据采样时的诊断将其分为 AR、PI 和无事件(EF)组。通过宏基因组测序确定粪便样本。并检测配对血清中的代谢物和细胞因子,以分析改变的微生物群落的潜在影响。共分析了 146 对样本(AR=25,PI=43,EF=78)。值得注意的是,我们发现 AR 的肠道微生物组呈现出主要耗竭模式,减少了 487 个物种和组成多样性。进一步的多组学分析显示,AR 和 PI 中血清代谢物减少和炎症细胞因子增加。在 AR 中减少的拟杆菌均匀(2.4%对 0.6%),与血清 IL-1β和 IL-12 呈负相关,被鉴定为 EF 肠道微生物组网络中的驱动种。从功能上讲,EF 标本富含与甘露糖和阳离子抗菌肽代谢相关的益生菌。此外,基于微生物组、代谢组和临床参数的支持向量机分类器高度预测 AR(AUPRC=0.801)和 PI(AUPRC=0.855),其中微生物组数据集显示出特别高的诊断能力。总之,破坏性肠道微生物群与 LTR 中的移植物排斥和感染以及全身细胞因子和代谢物显著相关。