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Gut microbiota alterations associated with antibody-mediated rejection after kidney transplantation.
Wang, Junpeng; Li, Xin; Wu, Xiaoqiang; Wang, Zhiwei; Zhang, Chan; Cao, Guanghui; Liu, Shun; Yan, Tianzhong.
Afiliação
  • Wang J; Department of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
  • Li X; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510515, China.
  • Wu X; Provincial Cooperative Innovation Center for Cancer Chemoprevention, Zhengzhou, 450001, China.
  • Wang Z; Department of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China.
  • Zhang C; Department of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
  • Cao G; Department of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
  • Liu S; Department of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
  • Yan T; Department of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
Appl Microbiol Biotechnol ; 105(6): 2473-2484, 2021 Mar.
Article em En | MEDLINE | ID: mdl-33625548
ABSTRACT
Antibody-mediated rejection (AMR) has become the major challenge for kidney transplantation, and the efficacy of existing therapies was limited to prevent AMR. Increasing evidences have demonstrated the link between gut microbiota alterations and allograft outcome. However, there has been no comprehensive analysis to profile the gut microbiota associated with AMR after kidney transplantation. We performed this study to characterize the gut microbiota possibly associated with AMR. Fecal specimens were collected from 24 kidney transplantation recipients with AMR and 29 controls. DNA extracted from the specimens was processed for 16S rRNA gene sequencing using Illumina MiSeq. Gut microbial community of recipients with AMR was significantly different from that of controls based on unweighted (P = 0.001) and weighted (P = 0.02) UniFrac distances, and the bacterial richness (observed species P = 0.0448; Chao1 index P = 0.0450; ACE index P = 0.0331) significantly decreased in the AMR group. LEfSe showed that 1 phylum, 5 classes, 7 families, and 10 genera were increased, whereas 1 class, 2 order, 3 families, and 4 genera were decreased in the AMR group. Specific taxa such as Clostridiales could be potentially used as biomarkers to distinguish the recipients with AMR from the controls (AUC = 0.77). PICRUSt analysis illustrated that 16 functional pathways were with significantly different abundances in the AMR and control groups. Our findings provide a foundation for further investigation on the role of gut microbiota in AMR after kidney transplantation, and potentially support novel diagnostic biomarkers and therapeutic options for AMR. KEY POINTS • Gut microbial community of kidney recipients with AMR was different from that of controls. • Clostridiales is a potential marker to distinguish recipients with AMR from controls.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transplante de Rim / Microbiota / Microbioma Gastrointestinal Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Appl Microbiol Biotechnol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transplante de Rim / Microbiota / Microbioma Gastrointestinal Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Appl Microbiol Biotechnol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China