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Development of an miRNA-Array-Based Diagnostic Signature for Periodontitis

Periodontitis progression is accompanied by irreversible alveolar bone absorption and leads to tooth loss. Early diagnosis is important for tooth stability and periodontal tissue preservation. However, there is no recognized miRNA diagnostic signature with convincing sensitivity and specificity for...

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Autores principales: Jin, Su-Han, Zhou, Jian-Guo, Guan, Xiao-Yan, Bai, Guo-Hui, Liu, Jian-Guo, Chen, Liang-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772397/
https://www.ncbi.nlm.nih.gov/pubmed/33391341
http://dx.doi.org/10.3389/fgene.2020.577585
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author Jin, Su-Han
Zhou, Jian-Guo
Guan, Xiao-Yan
Bai, Guo-Hui
Liu, Jian-Guo
Chen, Liang-Wen
author_facet Jin, Su-Han
Zhou, Jian-Guo
Guan, Xiao-Yan
Bai, Guo-Hui
Liu, Jian-Guo
Chen, Liang-Wen
author_sort Jin, Su-Han
collection PubMed
description Periodontitis progression is accompanied by irreversible alveolar bone absorption and leads to tooth loss. Early diagnosis is important for tooth stability and periodontal tissue preservation. However, there is no recognized miRNA diagnostic signature with convincing sensitivity and specificity for periodontitis. In this study, we obtained miRNA array expression profiles of periodontitis from the Gene Expression Omnibus (GEO) database. After screening for differentially expressed miRNAs, the least absolute shrinkage and selection operator (LASSO) method was performed to identify and construct a 17-miRNA-based diagnostic signature (hsa-miR-3917, hsa-mir-4271, hsa-miR-3156, hsa-miR-3141, hsa-miR-1246, hsa-miR-125a-5p, hsa-miR-671-5p, hcmv-mir-UL70, hsa-miR-650, hsa-miR-497-3p, hsa-miR-145-3p, hsa-miR-141-3p, hsa-miR-210-3p, hsa-miR-204-3p, hsa-miR-203a-5p, hsa-miR-99a-3p, and hsa-miR-30a-3p). Periodontal tissue samples with higher risk scores were more likely to show symptoms of periodontitis. Then, the receiver operating characteristic (ROC) curves were used to assess the diagnostic value of the miRNA signature, which indicated that the optimum cutoff value in periodontitis diagnosis was 0.5056 with an area under the ROC curve (AUC) of 0.996, a sensitivity of 97.3%, a specificity of 100.0% in the training cohort; in the testing cohort, the corresponding values were as follows: an AUC of 0.998, a sensitivity of 97.9%, and a specificity of 91.7%. We next evaluated the efficacy of the signature in differentiating disease subtype and affected range. Furthermore, we conducted functional enrichment analysis of the 17 miRNA-targeted mRNAs, including the regulation of mTOR activity and cell autophagy, Th1/Th2 cell balance and immunoregulation, cell apoptosis, and so on. In summary, our study identified and validated a 17-miRNA diagnostic signature with convincing AUC, sensitivity, and specificity for periodontitis.
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spelling pubmed-77723972020-12-31 Development of an miRNA-Array-Based Diagnostic Signature for Periodontitis Jin, Su-Han Zhou, Jian-Guo Guan, Xiao-Yan Bai, Guo-Hui Liu, Jian-Guo Chen, Liang-Wen Front Genet Genetics Periodontitis progression is accompanied by irreversible alveolar bone absorption and leads to tooth loss. Early diagnosis is important for tooth stability and periodontal tissue preservation. However, there is no recognized miRNA diagnostic signature with convincing sensitivity and specificity for periodontitis. In this study, we obtained miRNA array expression profiles of periodontitis from the Gene Expression Omnibus (GEO) database. After screening for differentially expressed miRNAs, the least absolute shrinkage and selection operator (LASSO) method was performed to identify and construct a 17-miRNA-based diagnostic signature (hsa-miR-3917, hsa-mir-4271, hsa-miR-3156, hsa-miR-3141, hsa-miR-1246, hsa-miR-125a-5p, hsa-miR-671-5p, hcmv-mir-UL70, hsa-miR-650, hsa-miR-497-3p, hsa-miR-145-3p, hsa-miR-141-3p, hsa-miR-210-3p, hsa-miR-204-3p, hsa-miR-203a-5p, hsa-miR-99a-3p, and hsa-miR-30a-3p). Periodontal tissue samples with higher risk scores were more likely to show symptoms of periodontitis. Then, the receiver operating characteristic (ROC) curves were used to assess the diagnostic value of the miRNA signature, which indicated that the optimum cutoff value in periodontitis diagnosis was 0.5056 with an area under the ROC curve (AUC) of 0.996, a sensitivity of 97.3%, a specificity of 100.0% in the training cohort; in the testing cohort, the corresponding values were as follows: an AUC of 0.998, a sensitivity of 97.9%, and a specificity of 91.7%. We next evaluated the efficacy of the signature in differentiating disease subtype and affected range. Furthermore, we conducted functional enrichment analysis of the 17 miRNA-targeted mRNAs, including the regulation of mTOR activity and cell autophagy, Th1/Th2 cell balance and immunoregulation, cell apoptosis, and so on. In summary, our study identified and validated a 17-miRNA diagnostic signature with convincing AUC, sensitivity, and specificity for periodontitis. Frontiers Media S.A. 2020-12-16 /pmc/articles/PMC7772397/ /pubmed/33391341 http://dx.doi.org/10.3389/fgene.2020.577585 Text en Copyright © 2020 Jin, Zhou, Guan, Bai, Liu and Chen. 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 Genetics
Jin, Su-Han
Zhou, Jian-Guo
Guan, Xiao-Yan
Bai, Guo-Hui
Liu, Jian-Guo
Chen, Liang-Wen
Development of an miRNA-Array-Based Diagnostic Signature for Periodontitis
title Development of an miRNA-Array-Based Diagnostic Signature for Periodontitis
title_full Development of an miRNA-Array-Based Diagnostic Signature for Periodontitis
title_fullStr Development of an miRNA-Array-Based Diagnostic Signature for Periodontitis
title_full_unstemmed Development of an miRNA-Array-Based Diagnostic Signature for Periodontitis
title_short Development of an miRNA-Array-Based Diagnostic Signature for Periodontitis
title_sort development of an mirna-array-based diagnostic signature for periodontitis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772397/
https://www.ncbi.nlm.nih.gov/pubmed/33391341
http://dx.doi.org/10.3389/fgene.2020.577585
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