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

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 fec...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471611/
https://www.ncbi.nlm.nih.gov/pubmed/37652953
http://dx.doi.org/10.1038/s41392-023-01515-3
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author 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
author_facet 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
author_sort Wu, Junqi
collection PubMed
description 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.
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spelling pubmed-104716112023-09-02 Intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study 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 Signal Transduct Target Ther Article 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. Nature Publishing Group UK 2023-09-01 /pmc/articles/PMC10471611/ /pubmed/37652953 http://dx.doi.org/10.1038/s41392-023-01515-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
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
Intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study
title Intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study
title_full Intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study
title_fullStr Intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study
title_full_unstemmed Intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study
title_short Intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study
title_sort intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471611/
https://www.ncbi.nlm.nih.gov/pubmed/37652953
http://dx.doi.org/10.1038/s41392-023-01515-3
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