دورية أكاديمية
Intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study
| العنوان: | Intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study |
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| المؤلفون: | Junqi Wu, Chongwu Li, Peigen Gao, Chenhong Zhang, Pei Zhang, Lei Zhang, Chenyang Dai, Kunpeng Zhang, Bowen Shi, Mengyang Liu, Junmeng Zheng, Bo Pan, Zhan Chen, Chao Zhang, Wanqing Liao, Weihua Pan, Wenjie Fang, Chang Chen |
| المصدر: | Signal Transduction and Targeted Therapy, Vol 8, Iss 1, Pp 1-9 (2023) |
| بيانات النشر: | Nature Publishing Group, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Medicine LCC:Biology (General) |
| مصطلحات موضوعية: | Medicine, Biology (General), QH301-705.5 |
| الوصف: | Abstract 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2059-3635 |
| Relation: | https://doaj.org/toc/2059-3635 |
| DOI: | 10.1038/s41392-023-01515-3 |
| URL الوصول: | https://doaj.org/article/1811a7093f304bb5b94eadcea3acfc2e |
| رقم الأكسشن: | edsdoj.1811a7093f304bb5b94eadcea3acfc2e |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 20593635 |
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| DOI: | 10.1038/s41392-023-01515-3 |