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Prediction of delayed graft function by early salivary microbiota following kidney transplantation.
Xiang, Xuyu; Peng, Bo; Liu, Kai; Wang, Tianyin; Ding, Peng; Zhu, Yi; Cheng, Ke; Ming, Yingzi.
Afiliação
  • Xiang X; The Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
  • Peng B; Engineering and Technology Research Center for Transplantation Medicine of National Health Commission, Changsha, China.
  • Liu K; The Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
  • Wang T; Engineering and Technology Research Center for Transplantation Medicine of National Health Commission, Changsha, China.
  • Ding P; The Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
  • Zhu Y; Engineering and Technology Research Center for Transplantation Medicine of National Health Commission, Changsha, China.
  • Cheng K; The Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, 410013, China.
  • Ming Y; Engineering and Technology Research Center for Transplantation Medicine of National Health Commission, Changsha, China.
Appl Microbiol Biotechnol ; 108(1): 402, 2024 Jul 01.
Article em En | MEDLINE | ID: mdl-38951204
ABSTRACT
Delayed graft function (DGF) is a frequently observed complication following kidney transplantation (KT). Our prior research revealed dynamic shifts in salivary microbiota post-KT with immediate graft function (IGF), yet its behavior during DGF remains unexplored. Five recipients with DGF and 35 recipients with IGF were enrolled. Saliva samples were collected during the perioperative period, and 16S rRNA gene sequencing was performed. The salivary microbiota of IGFs changed significantly and gradually stabilized with the recovery of renal function. The salivary microbiota composition of DGFs was significantly different from that of IGFs, although the trend of variation appeared to be similar to that of IGFs. Salivary microbiota that differed significantly between patients with DGF and IGF at 1 day after transplantation were able to accurately distinguish the two groups in the randomForest algorithm (accuracy = 0.8333, sensitivity = 0.7778, specificity = 1, and area under curve = 0.85), with Selenomonas playing an important role. Bacteroidales (Spearman's r = - 0.4872 and p = 0.0293) and Veillonella (Spearmen's r = - 0.5474 and p = 0.0125) were significantly associated with the serum creatinine in DGF patients. Moreover, the significant differences in overall salivary microbiota structure between DGF and IGF patients disappeared upon long-term follow-up. This is the first study to investigate the dynamic changes in salivary microbiota in DGFs. Our findings suggested that salivary microbiota was able to predict DGF in the early stages after kidney transplantation, which might help the perioperative clinical management and early-stage intervention of kidney transplant recipients. KEY POINTS • Salivary microbiota on the first day after KT could predict DGF. • Alterations in salivary taxa after KT are related to recovery of renal function.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saliva / RNA Ribossômico 16S / Transplante de Rim / Função Retardada do Enxerto / Microbiota Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saliva / RNA Ribossômico 16S / Transplante de Rim / Função Retardada do Enxerto / Microbiota Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article