Intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study

• Published in: Signal transduction and targeted therapy 2023-09, Vol.8 (1), p.326-326, Article 326
• Main Authors: Wu, Junqi, Li, Chongwu, Gao, Peigen, Zhang, Chenhong, Zhang, Pei, Zhang, Lei, Dai, Chenyang, Zhang, Kunpeng, Shi, Bowen, Liu, Mengyang, Zheng, Junmeng, Pan, Bo, Chen, Zhan, Zhang, Chao, Liao, Wanqing, Pan, Weihua, Fang, Wenjie, Chen, Chang
• Format: Article
• Language: English
• Subjects: 631/326; 692/308/575; 692/699/1785; Allografts; Antimicrobial peptides; Cancer Research; Cell Biology; Cohort analysis; Cytokines; Digestive system; Feces; Gastrointestinal tract; Graft rejection; Inflammation; Interleukin 12; Internal Medicine; Intestinal microflora; Lung transplants; Mannose; Medicine; Medicine & Public Health; Metabolites; Metagenomics; Microbiomes; Microbiota; Oncology; Pathology; Probiotics; Transplantation
• ISSN: 2059-3635; 2095-9907; 2059-3635
• 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.