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STXBP3 and GOT2 predict immunological activity in acute allograft rejection
BACKGROUND: Acute allograft rejection (AR) following renal transplantation contributes to chronic rejection and allograft dysfunction. The current diagnosis of AR remains dependent on renal allograft biopsy which cannot immediately detect renal allograft injury in the presence of AR. In this study,...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751189/ https://www.ncbi.nlm.nih.gov/pubmed/36532048 http://dx.doi.org/10.3389/fimmu.2022.1025681 |
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author | Yao, Qinfan Wang, Cuili Wang, Yucheng Xiang, Wenyu Chen, Yin Zhou, Qin Chen, Jianghua Jiang, Hong Chen, Dajin |
author_facet | Yao, Qinfan Wang, Cuili Wang, Yucheng Xiang, Wenyu Chen, Yin Zhou, Qin Chen, Jianghua Jiang, Hong Chen, Dajin |
author_sort | Yao, Qinfan |
collection | PubMed |
description | BACKGROUND: Acute allograft rejection (AR) following renal transplantation contributes to chronic rejection and allograft dysfunction. The current diagnosis of AR remains dependent on renal allograft biopsy which cannot immediately detect renal allograft injury in the presence of AR. In this study, sensitive biomarkers for AR diagnosis were investigated and developed to protect renal function. METHODS: We analyzed pre- and postoperative data from five databases combined with our own data to identify the key differently expressed genes (DEGs). Furthermore, we performed a bioinformatics analysis to determine the immune characteristics of DEGs. The expression of key DEGs was further confirmed using the real-time quantitative PCR (RT-qPCR), enzyme-linked immunosorbent assay (ELISA), and immunohistochemical (IHC) staining in patients with AR. ROC curves analysis was used to estimate the performance of key DEGs in the early diagnosis of AR. RESULTS: We identified glutamic-oxaloacetic transaminase 2 (GOT2) and syntaxin binding protein 3 (STXBP3) as key DEGs. The higher expression of STXBP3 and GOT2 in patients with AR was confirmed using RT-qPCR, ELISA, and IHC staining. ROC curve analysis also showed favorable values of STXBP3 and GOT2 for the diagnosis of early stage AR. CONCLUSIONS: STXBP3 and GOT2 could reflect the immunological status of patients with AR and have strong potential for the diagnosis of early-stage AR. |
format | Online Article Text |
id | pubmed-9751189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97511892022-12-16 STXBP3 and GOT2 predict immunological activity in acute allograft rejection Yao, Qinfan Wang, Cuili Wang, Yucheng Xiang, Wenyu Chen, Yin Zhou, Qin Chen, Jianghua Jiang, Hong Chen, Dajin Front Immunol Immunology BACKGROUND: Acute allograft rejection (AR) following renal transplantation contributes to chronic rejection and allograft dysfunction. The current diagnosis of AR remains dependent on renal allograft biopsy which cannot immediately detect renal allograft injury in the presence of AR. In this study, sensitive biomarkers for AR diagnosis were investigated and developed to protect renal function. METHODS: We analyzed pre- and postoperative data from five databases combined with our own data to identify the key differently expressed genes (DEGs). Furthermore, we performed a bioinformatics analysis to determine the immune characteristics of DEGs. The expression of key DEGs was further confirmed using the real-time quantitative PCR (RT-qPCR), enzyme-linked immunosorbent assay (ELISA), and immunohistochemical (IHC) staining in patients with AR. ROC curves analysis was used to estimate the performance of key DEGs in the early diagnosis of AR. RESULTS: We identified glutamic-oxaloacetic transaminase 2 (GOT2) and syntaxin binding protein 3 (STXBP3) as key DEGs. The higher expression of STXBP3 and GOT2 in patients with AR was confirmed using RT-qPCR, ELISA, and IHC staining. ROC curve analysis also showed favorable values of STXBP3 and GOT2 for the diagnosis of early stage AR. CONCLUSIONS: STXBP3 and GOT2 could reflect the immunological status of patients with AR and have strong potential for the diagnosis of early-stage AR. Frontiers Media S.A. 2022-12-01 /pmc/articles/PMC9751189/ /pubmed/36532048 http://dx.doi.org/10.3389/fimmu.2022.1025681 Text en Copyright © 2022 Yao, Wang, Wang, Xiang, Chen, Zhou, Chen, Jiang and Chen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Yao, Qinfan Wang, Cuili Wang, Yucheng Xiang, Wenyu Chen, Yin Zhou, Qin Chen, Jianghua Jiang, Hong Chen, Dajin STXBP3 and GOT2 predict immunological activity in acute allograft rejection |
title | STXBP3 and GOT2 predict immunological activity in acute allograft rejection |
title_full | STXBP3 and GOT2 predict immunological activity in acute allograft rejection |
title_fullStr | STXBP3 and GOT2 predict immunological activity in acute allograft rejection |
title_full_unstemmed | STXBP3 and GOT2 predict immunological activity in acute allograft rejection |
title_short | STXBP3 and GOT2 predict immunological activity in acute allograft rejection |
title_sort | stxbp3 and got2 predict immunological activity in acute allograft rejection |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751189/ https://www.ncbi.nlm.nih.gov/pubmed/36532048 http://dx.doi.org/10.3389/fimmu.2022.1025681 |
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