Junpeng Wang, Xiaofan Zhang, Mengjun Li, Ruoying Li, Ming Zhao
{"title":"抗体介导的排斥反应在肾移植受者肠道代谢谱中的变化","authors":"Junpeng Wang, Xiaofan Zhang, Mengjun Li, Ruoying Li, Ming Zhao","doi":"10.2147/TCRM.S401414","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Antibody-mediated rejection (AMR) is emerging as the main cause of graft loss after kidney transplantation. Our previous study revealed the gut microbiota alternation associated with AMR in kidney transplant recipients, which was predicted to affect the metabolism-related pathways.</p><p><strong>Methods: </strong>To further investigate the shifts in intestinal metabolic profile among kidney transplantation recipients with AMR, fecal samples from kidney transplant recipients and patients with end-stage renal disease (ESRD) were subjected to untargeted LC-MS-based metabolomics.</p><p><strong>Results: </strong>A total of 86 individuals were enrolled in this study, including 30 kidney transplantation recipients with AMR, 35 kidney transplant recipients with stable renal function (KT-SRF), and 21 participants with ESRD. Fecal metabolome in patients with ESRD and kidney transplantation recipients with KT-SRF were parallelly detected as controls. Our results demonstrated that intestinal metabolic profile of patients with AMR differed significantly from those with ESRD. A total of 172 and 25 differential metabolites were identified in the KT-AMR group, when compared with the ESRD group and the KT-SRF group, respectively, and 14 were common to the pairwise comparisons, some of which had good discriminative ability for AMR. KEGG pathway enrichment analysis demonstrated that the different metabolites between the KT-AMR and ESRD groups or between KT-AMR and KT-SRF groups were significantly enriched in 33 or 36 signaling pathways, respectively.</p><p><strong>Conclusion: </strong>From the metabolic point of view, our findings may provide key clues for developing effective diagnostic biomarkers and therapeutic targets for AMR after kidney transplantation.</p>","PeriodicalId":48769,"journal":{"name":"Therapeutics and Clinical Risk Management","volume":"19 ","pages":"207-217"},"PeriodicalIF":2.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/94/1d/tcrm-19-207.PMC9990454.pdf","citationCount":"1","resultStr":"{\"title\":\"Shifts in Intestinal Metabolic Profile Among Kidney Transplantation Recipients with Antibody-Mediated Rejection.\",\"authors\":\"Junpeng Wang, Xiaofan Zhang, Mengjun Li, Ruoying Li, Ming Zhao\",\"doi\":\"10.2147/TCRM.S401414\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Antibody-mediated rejection (AMR) is emerging as the main cause of graft loss after kidney transplantation. Our previous study revealed the gut microbiota alternation associated with AMR in kidney transplant recipients, which was predicted to affect the metabolism-related pathways.</p><p><strong>Methods: </strong>To further investigate the shifts in intestinal metabolic profile among kidney transplantation recipients with AMR, fecal samples from kidney transplant recipients and patients with end-stage renal disease (ESRD) were subjected to untargeted LC-MS-based metabolomics.</p><p><strong>Results: </strong>A total of 86 individuals were enrolled in this study, including 30 kidney transplantation recipients with AMR, 35 kidney transplant recipients with stable renal function (KT-SRF), and 21 participants with ESRD. Fecal metabolome in patients with ESRD and kidney transplantation recipients with KT-SRF were parallelly detected as controls. Our results demonstrated that intestinal metabolic profile of patients with AMR differed significantly from those with ESRD. A total of 172 and 25 differential metabolites were identified in the KT-AMR group, when compared with the ESRD group and the KT-SRF group, respectively, and 14 were common to the pairwise comparisons, some of which had good discriminative ability for AMR. KEGG pathway enrichment analysis demonstrated that the different metabolites between the KT-AMR and ESRD groups or between KT-AMR and KT-SRF groups were significantly enriched in 33 or 36 signaling pathways, respectively.</p><p><strong>Conclusion: </strong>From the metabolic point of view, our findings may provide key clues for developing effective diagnostic biomarkers and therapeutic targets for AMR after kidney transplantation.</p>\",\"PeriodicalId\":48769,\"journal\":{\"name\":\"Therapeutics and Clinical Risk Management\",\"volume\":\"19 \",\"pages\":\"207-217\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/94/1d/tcrm-19-207.PMC9990454.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Therapeutics and Clinical Risk Management\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/TCRM.S401414\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Therapeutics and Clinical Risk Management","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/TCRM.S401414","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Shifts in Intestinal Metabolic Profile Among Kidney Transplantation Recipients with Antibody-Mediated Rejection.
Background: Antibody-mediated rejection (AMR) is emerging as the main cause of graft loss after kidney transplantation. Our previous study revealed the gut microbiota alternation associated with AMR in kidney transplant recipients, which was predicted to affect the metabolism-related pathways.
Methods: To further investigate the shifts in intestinal metabolic profile among kidney transplantation recipients with AMR, fecal samples from kidney transplant recipients and patients with end-stage renal disease (ESRD) were subjected to untargeted LC-MS-based metabolomics.
Results: A total of 86 individuals were enrolled in this study, including 30 kidney transplantation recipients with AMR, 35 kidney transplant recipients with stable renal function (KT-SRF), and 21 participants with ESRD. Fecal metabolome in patients with ESRD and kidney transplantation recipients with KT-SRF were parallelly detected as controls. Our results demonstrated that intestinal metabolic profile of patients with AMR differed significantly from those with ESRD. A total of 172 and 25 differential metabolites were identified in the KT-AMR group, when compared with the ESRD group and the KT-SRF group, respectively, and 14 were common to the pairwise comparisons, some of which had good discriminative ability for AMR. KEGG pathway enrichment analysis demonstrated that the different metabolites between the KT-AMR and ESRD groups or between KT-AMR and KT-SRF groups were significantly enriched in 33 or 36 signaling pathways, respectively.
Conclusion: From the metabolic point of view, our findings may provide key clues for developing effective diagnostic biomarkers and therapeutic targets for AMR after kidney transplantation.
期刊介绍:
Therapeutics and Clinical Risk Management is an international, peer-reviewed journal of clinical therapeutics and risk management, focusing on concise rapid reporting of clinical studies in all therapeutic areas, outcomes, safety, and programs for the effective, safe, and sustained use of medicines, therapeutic and surgical interventions in all clinical areas.
The journal welcomes submissions covering original research, clinical and epidemiological studies, reviews, guidelines, expert opinion and commentary. The journal will consider case reports but only if they make a valuable and original contribution to the literature.
As of 18th March 2019, Therapeutics and Clinical Risk Management will no longer consider meta-analyses for publication.
The journal does not accept study protocols, animal-based or cell line-based studies.