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Plasma microRNA Profiles as a Potential Biomarker in Differentiating Adult-Onset Still's Disease From Sepsis

Adult-onset Still's disease (AOSD) is a systemic inflammatory disease characterized by cytokine storm. However, a diagnostic test for AOSD in clinical use is yet to be validated. The aim of our study was to identify non-invasive biomarkers with high specificity and sensitivity to diagnosis of A...

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Autores principales: Hu, Qiongyi, Gong, Wen, Gu, Jieyu, Geng, Guannan, Li, Ting, Tian, Rui, Yang, Zhitao, Zhang, Haocheng, Shao, Lingyun, Liu, Tingting, Wan, Liyan, Jia, Jinchao, Yang, Chengde, Shi, Yi, Shi, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338094/
https://www.ncbi.nlm.nih.gov/pubmed/30687316
http://dx.doi.org/10.3389/fimmu.2018.03099
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author Hu, Qiongyi
Gong, Wen
Gu, Jieyu
Geng, Guannan
Li, Ting
Tian, Rui
Yang, Zhitao
Zhang, Haocheng
Shao, Lingyun
Liu, Tingting
Wan, Liyan
Jia, Jinchao
Yang, Chengde
Shi, Yi
Shi, Hui
author_facet Hu, Qiongyi
Gong, Wen
Gu, Jieyu
Geng, Guannan
Li, Ting
Tian, Rui
Yang, Zhitao
Zhang, Haocheng
Shao, Lingyun
Liu, Tingting
Wan, Liyan
Jia, Jinchao
Yang, Chengde
Shi, Yi
Shi, Hui
author_sort Hu, Qiongyi
collection PubMed
description Adult-onset Still's disease (AOSD) is a systemic inflammatory disease characterized by cytokine storm. However, a diagnostic test for AOSD in clinical use is yet to be validated. The aim of our study was to identify non-invasive biomarkers with high specificity and sensitivity to diagnosis of AOSD. MicroRNA (miRNA) profiles in PBMC from new-onset AOSD patients without any treatment and healthy controls (HCs) were analyzed by miRNA deep sequencing. Plasma samples from 100 AOSD patients and 60 HCs were used to validated the expression levels of miRNA by qRT-PCR. The correlations between expression levels of miRNAs and clinical manifestations were analyzed using advanced statistical models. We found that plasma samples from AOSD patients showed a distinct miRNA expression profile. Five miRNAs (miR-142-5p, miR-101-3p, miR-29a-3p, miR-29c-3p, and miR-141-3p) were significantly upregulated in plasma of AOSD patients compared with HCs both in training and validation sets. We discovered a panel including 3 miRNAs (miR-142-5p, miR-101-3p, and miR-29a-3p) that can predict the probability of AOSD with an area under the receiver operating characteristic (ROC) curve of 0.8250 in training and validation sets. Moreover, the expression levels of 5 miRNAs were significantly higher in active AOSD patients compared with those in inactive patients. In addition, elevated level of miR-101-3p was found in AOSD patients with fever, sore throat and arthralgia symptoms; the miR-101-3p was also positively correlated with the levels of IL-6 and TNF-α in serum. Furthermore, five miRNAs (miR-142-5p, miR-101-3p, miR-29c-3p, miR-29a-3p, and miR-141-3p) expressed in plasma were significantly higher in AOSD patients than in sepsis patients (P < 0.05). The AUC value of 4-miRNA panel (miR-142-5p, miR-101-3p, miR-29c-3p, and miR-141-3p) for AOSD diagnosis from sepsis was 0.8448, revealing the potentially diagnostic value to distinguish AOSD patients from sepsis patients. Our results have identified a specific plasma miRNA signature that may serve as a potential non-invasive biomarker for diagnosis of AOSD and monitoring disease activity.
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spelling pubmed-63380942019-01-25 Plasma microRNA Profiles as a Potential Biomarker in Differentiating Adult-Onset Still's Disease From Sepsis Hu, Qiongyi Gong, Wen Gu, Jieyu Geng, Guannan Li, Ting Tian, Rui Yang, Zhitao Zhang, Haocheng Shao, Lingyun Liu, Tingting Wan, Liyan Jia, Jinchao Yang, Chengde Shi, Yi Shi, Hui Front Immunol Immunology Adult-onset Still's disease (AOSD) is a systemic inflammatory disease characterized by cytokine storm. However, a diagnostic test for AOSD in clinical use is yet to be validated. The aim of our study was to identify non-invasive biomarkers with high specificity and sensitivity to diagnosis of AOSD. MicroRNA (miRNA) profiles in PBMC from new-onset AOSD patients without any treatment and healthy controls (HCs) were analyzed by miRNA deep sequencing. Plasma samples from 100 AOSD patients and 60 HCs were used to validated the expression levels of miRNA by qRT-PCR. The correlations between expression levels of miRNAs and clinical manifestations were analyzed using advanced statistical models. We found that plasma samples from AOSD patients showed a distinct miRNA expression profile. Five miRNAs (miR-142-5p, miR-101-3p, miR-29a-3p, miR-29c-3p, and miR-141-3p) were significantly upregulated in plasma of AOSD patients compared with HCs both in training and validation sets. We discovered a panel including 3 miRNAs (miR-142-5p, miR-101-3p, and miR-29a-3p) that can predict the probability of AOSD with an area under the receiver operating characteristic (ROC) curve of 0.8250 in training and validation sets. Moreover, the expression levels of 5 miRNAs were significantly higher in active AOSD patients compared with those in inactive patients. In addition, elevated level of miR-101-3p was found in AOSD patients with fever, sore throat and arthralgia symptoms; the miR-101-3p was also positively correlated with the levels of IL-6 and TNF-α in serum. Furthermore, five miRNAs (miR-142-5p, miR-101-3p, miR-29c-3p, miR-29a-3p, and miR-141-3p) expressed in plasma were significantly higher in AOSD patients than in sepsis patients (P < 0.05). The AUC value of 4-miRNA panel (miR-142-5p, miR-101-3p, miR-29c-3p, and miR-141-3p) for AOSD diagnosis from sepsis was 0.8448, revealing the potentially diagnostic value to distinguish AOSD patients from sepsis patients. Our results have identified a specific plasma miRNA signature that may serve as a potential non-invasive biomarker for diagnosis of AOSD and monitoring disease activity. Frontiers Media S.A. 2019-01-11 /pmc/articles/PMC6338094/ /pubmed/30687316 http://dx.doi.org/10.3389/fimmu.2018.03099 Text en Copyright © 2019 Hu, Gong, Gu, Geng, Li, Tian, Yang, Zhang, Shao, Liu, Wan, Jia, Yang, Shi and Shi. http://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
Hu, Qiongyi
Gong, Wen
Gu, Jieyu
Geng, Guannan
Li, Ting
Tian, Rui
Yang, Zhitao
Zhang, Haocheng
Shao, Lingyun
Liu, Tingting
Wan, Liyan
Jia, Jinchao
Yang, Chengde
Shi, Yi
Shi, Hui
Plasma microRNA Profiles as a Potential Biomarker in Differentiating Adult-Onset Still's Disease From Sepsis
title Plasma microRNA Profiles as a Potential Biomarker in Differentiating Adult-Onset Still's Disease From Sepsis
title_full Plasma microRNA Profiles as a Potential Biomarker in Differentiating Adult-Onset Still's Disease From Sepsis
title_fullStr Plasma microRNA Profiles as a Potential Biomarker in Differentiating Adult-Onset Still's Disease From Sepsis
title_full_unstemmed Plasma microRNA Profiles as a Potential Biomarker in Differentiating Adult-Onset Still's Disease From Sepsis
title_short Plasma microRNA Profiles as a Potential Biomarker in Differentiating Adult-Onset Still's Disease From Sepsis
title_sort plasma microrna profiles as a potential biomarker in differentiating adult-onset still's disease from sepsis
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338094/
https://www.ncbi.nlm.nih.gov/pubmed/30687316
http://dx.doi.org/10.3389/fimmu.2018.03099
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