Integrative metagenomic and metabolomic analyses reveal the role of gut microbiota in antibody-mediated renal allograft rejection

被引:8
|
作者
Li, Xin [1 ,2 ,3 ]
Li, Ruoying [1 ]
Ji, Bingqing [4 ]
Zhao, Lili [1 ]
Wang, Junpeng [4 ,5 ]
Yan, Tianzhong [4 ]
机构
[1] Zhengzhou Univ, Sch Basic Med Sci, Dept Pathophysiol, Zhengzhou 450001, Henan, Peoples R China
[2] Zhengzhou Univ, Collaborat Innovat Ctr Henan Prov Canc Chemopreven, Zhengzhou 450001, Henan, Peoples R China
[3] Zhengzhou Univ, State Key Lab Esophageal Canc Prevent & Treatment, Zhengzhou 450052, Henan, Peoples R China
[4] Zhengzhou Univ, Henan Univ Peoples Hosp, Henan Prov Peoples Hosp, Dept Urol,Peoples Hosp, Zhengzhou 450003, Henan, Peoples R China
[5] Southern Med Univ, Zhujiang Hosp, Dept Organ Transplantat, Guangzhou 510280, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Antibody-mediated rejection; Gut microbiota; Metagenomics; Fecal metabolites; Kidney transplantation; THERAPEUTIC SUPPRESSION; KIDNEY-TRANSPLANTATION; TISSUE REACTIVITY; BILE-ACID; ALIGNMENT; DATASET;
D O I
10.1186/s12967-022-03825-6
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background: Antibody-mediated rejection (AMR) remains one of the major barriers for graft survival after kidney transplantation. Our previous study suggested a gut microbiota dysbiosis in kidney transplantation recipients with AMR. However, alternations in gut microbial function and structure at species level have not been identified. In the present study, we investigated the metagenomic and metabolic patterns of gut microbiota in AMR patients to provide a comprehensive and in-depth understanding of gut microbiota dysbiosis in AMR. Methods: We enrolled 60 kidney transplantation recipients, 28 showed AMR and 32 were non-AMR controls with stable post-transplant renal functions. Shotgun sequencing and untargeted LC/MS metabolomic profiling of fecal samples were performed in kidney transplantation recipients with AMR and controls. Results: Totally, we identified 311 down-regulated and 27 up-regulated gut microbial species associated with AMR after kidney transplantation, resulting in the altered expression levels of 437 genes enriched in 22 pathways, of which 13 were related to metabolism. Moreover, 32 differential fecal metabolites were found in recipients with AMR. Among them, alterations in 3b-hydroxy-5-cholenoic acid, l-pipecolic acid, taurocholate, and 6k-PGF1alpha-d4 directly correlated with changes in gut microbial species and functions. Specific differential fecal species and metabolites were strongly associated with clinical indexes (Cr, BUN, etc.), and could distinguish the recipients with AMR from controls as potential biomarkers. Conclusions: Altogether, our findings provided a comprehensive and in-depth understanding of the correlation between AMR and gut microbiota, which is important for the etiological and diagnostic study of AMR after kidney transplantation.
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页数:14
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