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A Novel Serum tsRNA for Diagnosis and Prediction of Nephritis in SLE

OBJECTIVE: Dysregulation of transfer RNA (tRNA)-derived small noncoding RNA (tsRNA) signatures in human serum has been found in various diseases. Here, we determine whether the signatures of tsRNAs in serum can serve as biomarkers for diagnosis or prognosis of systemic lupus erythematosus (SLE). MET...

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Autores principales: Yang, Ping, Zhang, Xiaoshan, Chen, Shanshan, Tao, Yue, Ning, Mingzhe, Zhu, Yijia, Liang, Jun, Kong, Wei, Shi, Bo, Li, Zhiyang, Shen, Han, Wang, Yanbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632637/
https://www.ncbi.nlm.nih.gov/pubmed/34867955
http://dx.doi.org/10.3389/fimmu.2021.735105
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author Yang, Ping
Zhang, Xiaoshan
Chen, Shanshan
Tao, Yue
Ning, Mingzhe
Zhu, Yijia
Liang, Jun
Kong, Wei
Shi, Bo
Li, Zhiyang
Shen, Han
Wang, Yanbo
author_facet Yang, Ping
Zhang, Xiaoshan
Chen, Shanshan
Tao, Yue
Ning, Mingzhe
Zhu, Yijia
Liang, Jun
Kong, Wei
Shi, Bo
Li, Zhiyang
Shen, Han
Wang, Yanbo
author_sort Yang, Ping
collection PubMed
description OBJECTIVE: Dysregulation of transfer RNA (tRNA)-derived small noncoding RNA (tsRNA) signatures in human serum has been found in various diseases. Here, we determine whether the signatures of tsRNAs in serum can serve as biomarkers for diagnosis or prognosis of systemic lupus erythematosus (SLE). METHODS: Initially, small RNA sequencing was employed for the screening serum tsRNAs obtained from SLE patients, followed by validation with TaqMan probe-based quantitative reverse transcription-PCR (RT-PCR) assay. Receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic efficacy. The biological functions of tsRNAs were identified by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) assay. RESULTS: We first analyzed tsRNA signatures in SLE serum and identified that tRF-His-GTG-1 was significantly upregulated in SLE serum. The combination of tRF-His-GTG-1 and anti-dsDNA could serve as biomarkers for diagnosing SLE with a high area under the curve (AUC) of 0.95 (95% CI = 0.92–0.99), sensitivity (83.72%), and specificity (94.19%). Importantly, the noninvasive serum tRF-His-GTG-1 could also be used to distinguish SLE with LN or SLE without LN with AUC of 0.81 (95% CI, 0.73–0.88) and performance (sensitivity 66.27%, specificity 96.15%). Moreover, the serum tsRNA is mainly secreted via exosome and can directly target signaling molecules that play crucial roles in regulating the immune system. CONCLUSION: In this study, it has been demonstrated for the first time that serum tsRNAs can be employed as noninvasive biomarkers for the efficient diagnosis and prediction of nephritis in SLE.
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spelling pubmed-86326372021-12-02 A Novel Serum tsRNA for Diagnosis and Prediction of Nephritis in SLE Yang, Ping Zhang, Xiaoshan Chen, Shanshan Tao, Yue Ning, Mingzhe Zhu, Yijia Liang, Jun Kong, Wei Shi, Bo Li, Zhiyang Shen, Han Wang, Yanbo Front Immunol Immunology OBJECTIVE: Dysregulation of transfer RNA (tRNA)-derived small noncoding RNA (tsRNA) signatures in human serum has been found in various diseases. Here, we determine whether the signatures of tsRNAs in serum can serve as biomarkers for diagnosis or prognosis of systemic lupus erythematosus (SLE). METHODS: Initially, small RNA sequencing was employed for the screening serum tsRNAs obtained from SLE patients, followed by validation with TaqMan probe-based quantitative reverse transcription-PCR (RT-PCR) assay. Receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic efficacy. The biological functions of tsRNAs were identified by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) assay. RESULTS: We first analyzed tsRNA signatures in SLE serum and identified that tRF-His-GTG-1 was significantly upregulated in SLE serum. The combination of tRF-His-GTG-1 and anti-dsDNA could serve as biomarkers for diagnosing SLE with a high area under the curve (AUC) of 0.95 (95% CI = 0.92–0.99), sensitivity (83.72%), and specificity (94.19%). Importantly, the noninvasive serum tRF-His-GTG-1 could also be used to distinguish SLE with LN or SLE without LN with AUC of 0.81 (95% CI, 0.73–0.88) and performance (sensitivity 66.27%, specificity 96.15%). Moreover, the serum tsRNA is mainly secreted via exosome and can directly target signaling molecules that play crucial roles in regulating the immune system. CONCLUSION: In this study, it has been demonstrated for the first time that serum tsRNAs can be employed as noninvasive biomarkers for the efficient diagnosis and prediction of nephritis in SLE. Frontiers Media S.A. 2021-11-11 /pmc/articles/PMC8632637/ /pubmed/34867955 http://dx.doi.org/10.3389/fimmu.2021.735105 Text en Copyright © 2021 Yang, Zhang, Chen, Tao, Ning, Zhu, Liang, Kong, Shi, Li, Shen and Wang 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
Yang, Ping
Zhang, Xiaoshan
Chen, Shanshan
Tao, Yue
Ning, Mingzhe
Zhu, Yijia
Liang, Jun
Kong, Wei
Shi, Bo
Li, Zhiyang
Shen, Han
Wang, Yanbo
A Novel Serum tsRNA for Diagnosis and Prediction of Nephritis in SLE
title A Novel Serum tsRNA for Diagnosis and Prediction of Nephritis in SLE
title_full A Novel Serum tsRNA for Diagnosis and Prediction of Nephritis in SLE
title_fullStr A Novel Serum tsRNA for Diagnosis and Prediction of Nephritis in SLE
title_full_unstemmed A Novel Serum tsRNA for Diagnosis and Prediction of Nephritis in SLE
title_short A Novel Serum tsRNA for Diagnosis and Prediction of Nephritis in SLE
title_sort novel serum tsrna for diagnosis and prediction of nephritis in sle
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632637/
https://www.ncbi.nlm.nih.gov/pubmed/34867955
http://dx.doi.org/10.3389/fimmu.2021.735105
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