Cargando…

Serum microRNA array analysis identifies miR-140-3p, miR-33b-3p and miR-671-3p as potential osteoarthritis biomarkers involved in metabolic processes

BACKGROUND: MicroRNAs (miRNAs) in circulation have emerged as promising biomarkers. In this study, we aimed to identify a circulating miRNA signature for osteoarthritis (OA) patients and in combination with bioinformatics analysis to evaluate the utility of selected differentially expressed miRNAs i...

Descripción completa

Detalles Bibliográficos
Autores principales: Ntoumou, E., Tzetis, M., Braoudaki, M., Lambrou, G., Poulou, M., Malizos, K., Stefanou, N., Anastasopoulou, L., Tsezou, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5728069/
https://www.ncbi.nlm.nih.gov/pubmed/29255496
http://dx.doi.org/10.1186/s13148-017-0428-1
_version_ 1783286004726104064
author Ntoumou, E.
Tzetis, M.
Braoudaki, M.
Lambrou, G.
Poulou, M.
Malizos, K.
Stefanou, N.
Anastasopoulou, L.
Tsezou, A.
author_facet Ntoumou, E.
Tzetis, M.
Braoudaki, M.
Lambrou, G.
Poulou, M.
Malizos, K.
Stefanou, N.
Anastasopoulou, L.
Tsezou, A.
author_sort Ntoumou, E.
collection PubMed
description BACKGROUND: MicroRNAs (miRNAs) in circulation have emerged as promising biomarkers. In this study, we aimed to identify a circulating miRNA signature for osteoarthritis (OA) patients and in combination with bioinformatics analysis to evaluate the utility of selected differentially expressed miRNAs in the serum as potential OA biomarkers. METHODS: Serum samples were collected from 12 primary OA patients, and 12 healthy individuals were screened using the Agilent Human miRNA Microarray platform interrogating 2549 miRNAs. Receiver Operating Characteristic (ROC) curves were constructed to evaluate the diagnostic performance of the deregulated miRNAs. Expression levels of selected miRNAs were validated by quantitative real-time PCR (qRT-PCR) in all serum and in articular cartilage samples from OA patients (n = 12) and healthy individuals (n = 7). Bioinformatics analysis was used to investigate the involved pathways and target genes for the above miRNAs. RESULTS: We identified 279 differentially expressed miRNAs in the serum of OA patients compared to controls. Two hundred and five miRNAs (73.5%) were upregulated and 74 (26.5%) downregulated. ROC analysis revealed that 77 miRNAs had area under the curve (AUC) > 0.8 and p < 0.05. Bioinformatics analysis in the 77 miRNAs revealed that their target genes were involved in multiple signaling pathways associated with OA, among which FoxO, mTOR, Wnt, pI3K/akt, TGF-β signaling pathways, ECM-receptor interaction, and fatty acid biosynthesis. qRT-PCR validation in seven selected out of the 77 miRNAs revealed 3 significantly downregulated miRNAs (hsa-miR-33b-3p, hsa-miR-671-3p, and hsa-miR-140-3p) in the serum of OA patients, which were in silico predicted to be enriched in pathways involved in metabolic processes. Target-gene analysis of hsa-miR-140-3p, hsa-miR-33b-3p, and hsa-miR-671-3p revealed that InsR and IGFR1 were common targets of all three miRNAs, highlighting their involvement in regulation of metabolic processes that contribute to OA pathology. Hsa-miR-140-3p and hsa-miR-671-3p expression levels were consistently downregulated in articular cartilage of OA patients compared to healthy individuals. CONCLUSIONS: A serum miRNA signature was established for the first time using high density resolution miR-arrays in OA patients. We identified a three-miRNA signature, hsa-miR-140-3p, hsa-miR-671-3p, and hsa-miR-33b-3p, in the serum of OA patients, predicted to regulate metabolic processes, which could serve as a potential biomarker for the evaluation of OA risk and progression. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-017-0428-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5728069
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-57280692017-12-18 Serum microRNA array analysis identifies miR-140-3p, miR-33b-3p and miR-671-3p as potential osteoarthritis biomarkers involved in metabolic processes Ntoumou, E. Tzetis, M. Braoudaki, M. Lambrou, G. Poulou, M. Malizos, K. Stefanou, N. Anastasopoulou, L. Tsezou, A. Clin Epigenetics Research BACKGROUND: MicroRNAs (miRNAs) in circulation have emerged as promising biomarkers. In this study, we aimed to identify a circulating miRNA signature for osteoarthritis (OA) patients and in combination with bioinformatics analysis to evaluate the utility of selected differentially expressed miRNAs in the serum as potential OA biomarkers. METHODS: Serum samples were collected from 12 primary OA patients, and 12 healthy individuals were screened using the Agilent Human miRNA Microarray platform interrogating 2549 miRNAs. Receiver Operating Characteristic (ROC) curves were constructed to evaluate the diagnostic performance of the deregulated miRNAs. Expression levels of selected miRNAs were validated by quantitative real-time PCR (qRT-PCR) in all serum and in articular cartilage samples from OA patients (n = 12) and healthy individuals (n = 7). Bioinformatics analysis was used to investigate the involved pathways and target genes for the above miRNAs. RESULTS: We identified 279 differentially expressed miRNAs in the serum of OA patients compared to controls. Two hundred and five miRNAs (73.5%) were upregulated and 74 (26.5%) downregulated. ROC analysis revealed that 77 miRNAs had area under the curve (AUC) > 0.8 and p < 0.05. Bioinformatics analysis in the 77 miRNAs revealed that their target genes were involved in multiple signaling pathways associated with OA, among which FoxO, mTOR, Wnt, pI3K/akt, TGF-β signaling pathways, ECM-receptor interaction, and fatty acid biosynthesis. qRT-PCR validation in seven selected out of the 77 miRNAs revealed 3 significantly downregulated miRNAs (hsa-miR-33b-3p, hsa-miR-671-3p, and hsa-miR-140-3p) in the serum of OA patients, which were in silico predicted to be enriched in pathways involved in metabolic processes. Target-gene analysis of hsa-miR-140-3p, hsa-miR-33b-3p, and hsa-miR-671-3p revealed that InsR and IGFR1 were common targets of all three miRNAs, highlighting their involvement in regulation of metabolic processes that contribute to OA pathology. Hsa-miR-140-3p and hsa-miR-671-3p expression levels were consistently downregulated in articular cartilage of OA patients compared to healthy individuals. CONCLUSIONS: A serum miRNA signature was established for the first time using high density resolution miR-arrays in OA patients. We identified a three-miRNA signature, hsa-miR-140-3p, hsa-miR-671-3p, and hsa-miR-33b-3p, in the serum of OA patients, predicted to regulate metabolic processes, which could serve as a potential biomarker for the evaluation of OA risk and progression. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-017-0428-1) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-12 /pmc/articles/PMC5728069/ /pubmed/29255496 http://dx.doi.org/10.1186/s13148-017-0428-1 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Ntoumou, E.
Tzetis, M.
Braoudaki, M.
Lambrou, G.
Poulou, M.
Malizos, K.
Stefanou, N.
Anastasopoulou, L.
Tsezou, A.
Serum microRNA array analysis identifies miR-140-3p, miR-33b-3p and miR-671-3p as potential osteoarthritis biomarkers involved in metabolic processes
title Serum microRNA array analysis identifies miR-140-3p, miR-33b-3p and miR-671-3p as potential osteoarthritis biomarkers involved in metabolic processes
title_full Serum microRNA array analysis identifies miR-140-3p, miR-33b-3p and miR-671-3p as potential osteoarthritis biomarkers involved in metabolic processes
title_fullStr Serum microRNA array analysis identifies miR-140-3p, miR-33b-3p and miR-671-3p as potential osteoarthritis biomarkers involved in metabolic processes
title_full_unstemmed Serum microRNA array analysis identifies miR-140-3p, miR-33b-3p and miR-671-3p as potential osteoarthritis biomarkers involved in metabolic processes
title_short Serum microRNA array analysis identifies miR-140-3p, miR-33b-3p and miR-671-3p as potential osteoarthritis biomarkers involved in metabolic processes
title_sort serum microrna array analysis identifies mir-140-3p, mir-33b-3p and mir-671-3p as potential osteoarthritis biomarkers involved in metabolic processes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5728069/
https://www.ncbi.nlm.nih.gov/pubmed/29255496
http://dx.doi.org/10.1186/s13148-017-0428-1
work_keys_str_mv AT ntoumoue serummicrornaarrayanalysisidentifiesmir1403pmir33b3pandmir6713paspotentialosteoarthritisbiomarkersinvolvedinmetabolicprocesses
AT tzetism serummicrornaarrayanalysisidentifiesmir1403pmir33b3pandmir6713paspotentialosteoarthritisbiomarkersinvolvedinmetabolicprocesses
AT braoudakim serummicrornaarrayanalysisidentifiesmir1403pmir33b3pandmir6713paspotentialosteoarthritisbiomarkersinvolvedinmetabolicprocesses
AT lambroug serummicrornaarrayanalysisidentifiesmir1403pmir33b3pandmir6713paspotentialosteoarthritisbiomarkersinvolvedinmetabolicprocesses
AT pouloum serummicrornaarrayanalysisidentifiesmir1403pmir33b3pandmir6713paspotentialosteoarthritisbiomarkersinvolvedinmetabolicprocesses
AT malizosk serummicrornaarrayanalysisidentifiesmir1403pmir33b3pandmir6713paspotentialosteoarthritisbiomarkersinvolvedinmetabolicprocesses
AT stefanoun serummicrornaarrayanalysisidentifiesmir1403pmir33b3pandmir6713paspotentialosteoarthritisbiomarkersinvolvedinmetabolicprocesses
AT anastasopouloul serummicrornaarrayanalysisidentifiesmir1403pmir33b3pandmir6713paspotentialosteoarthritisbiomarkersinvolvedinmetabolicprocesses
AT tsezoua serummicrornaarrayanalysisidentifiesmir1403pmir33b3pandmir6713paspotentialosteoarthritisbiomarkersinvolvedinmetabolicprocesses