Dataset Information

Prediction of MicroRNA and Gene Target in Synovium-Associated Pain of Knee Osteoarthritis Based on Canonical Correlation Analysis.

ABSTRACT: Inflammation plays a central role in knee osteoarthritis (OA) pathogenesis (C. R. Scanzello, 2017). The synovial membrane inflammation is associated with disease progression and represents a primary source of agony in knee OA (L. A. Stoppiello et al., 2014). Many inflammatory mediators may have biomarker utility. To identify synovium related to knee OA pain biomarkers, we used canonical correlation analysis to analyze the miRNA-mRNA dual expression profiling data and extracted the miRNAs and mRNAs. After identifying miRNAs and mRNAs, we built an interaction network by integrating miRWalk2.0. Then, we extended the network by increasing miRNA-mRNA pairs and identified five miRNAs and four genes (TGFBR2, DST, TBXAS1, and FHLI) through the Spearman rank correlation test. For miRNAs involved in the network, we further performed the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses, whereafter only those mRNAs overlapped with the Online Mendelian Inheritance in Man (OMIM) genetic database were analyzed. Receiver operating characteristic (ROC) curve and support vector machine (SVM) classification were taken into the analysis. The results demonstrated that all the recognized miRNAs and their gene targets in the network might be potential biomarkers for synovial-associated pain in knee OA. This study predicts the underlying risk biomarkers of synovium pain in knee OA.

SUBMITTER: Wang H

PROVIDER: S-EPMC6815580 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prediction of MicroRNA and Gene Target in Synovium-Associated Pain of Knee Osteoarthritis Based on Canonical Correlation Analysis.

Wang Haiming H Hu Yue Y Xie Yujie Y Wang Li L Wang Jianxiong J Lei Lei L Huang Maomao M Zhang Chi C

BioMed research international 20191013

Inflammation plays a central role in knee osteoarthritis (OA) pathogenesis (C. R. Scanzello, 2017). The synovial membrane inflammation is associated with disease progression and represents a primary source of agony in knee OA (L. A. Stoppiello et al., 2014). Many inflammatory mediators may have biomarker utility. To identify synovium related to knee OA pain biomarkers, we used canonical correlation analysis to analyze the miRNA-mRNA dual expression profiling data and extracted the miRNAs and mRN ...[more]

PMID: 31737663

Similar Datasets

Project description:ObjectivesOsteoarthritis (OA) is increasingly recognised as a whole joint disease, with an important role for synovium. However, the repertoire of immune cells and fibroblasts that constitute OA synovium remains understudied. This study aims to characterise the cellular composition of advanced OA synovium and to explore potential correlations between different cell types and patient demographics or clinical scores.MethodsSynovium, collected from 10 patients with advanced OA during total knee replacement surgery, was collagenase-digested, and cells were stained for flow cytometry analysis. Formalin-fixed paraffin-embedded synovium was sectioned, stained with immunofluorescence, and imaged using the multiplex Cell DIVE platform. Patient demographics and clinical scores were also collected.ResultsThe proportion of immune cells in OA synovium varied between patients (8-38% of all cells). Macrophages and T cells were the dominant immune cell populations, together representing 76% of immune cells. Age positively correlated with the proportion of macrophages, and negatively correlated with T cells. CCR6+ T cells were found in 6/10 patients; these patients had a higher mean Kellgren-Lawrence grade across the three knee compartments. Immunofluorescence staining showed that macrophages were present in the lining as well as distributed throughout the sublining, while T and B cells were mainly localised near vessels in the sublining. Fibroblast subsets (CD45-PDPN+) based on the expression of CD34/CD90 or FAP/CD90 were identified in all patient samples, and some populations correlate with the percentage of immune cells or clinical scores. Immunofluorescence staining showed that FAP expression was particularly strong in the lining layer, but also present throughout the sublining layer. CD90 expression was exclusively found around vessels in the sublining, while CD34 was mostly found in the sublining but also occasionally in the lining layer.ConclusionsThere are significant differences in the relative proportions and subsets of immune cells in OA synovium; exploratory correlative analyses suggest that these differences might be correlated with age, clinical scores, or fibroblast subsets. Additional studies are required to understand how different cell types affect OA pathobiology, and if the presence or proportion of cell subsets relates to disease phenotypes.

Project description:IntroductionKnee osteoarthritis (KOA) showed synovial fibrosis and hyperalgesia, although the correlation between the two is unclear. Besides, the specific changes of sensory innervation in animal models are still controversial, which makes it difficult to choose the modeling methods for KOA pain research.ObjectivesStudy the characteristics of sensory innervation within three commonly used KOA rat models and the correlation between synovial fibrosis and hyperalgesia.MethodsKOA models were induced by destabilization of medial meniscus (DMM), anterior cruciate ligament transection (ACLT), and monoiodoacetate (MIA), respectively. Mechanical, cold and thermal withdrawal threshold (MWT, CWT and TWT) were measured. The harvested tissues were used for pathological sections, immunofluorescence and quantitative analysis.ResultsKOA synovium showed more type I collagen deposition, increased expression of CD31, VEGF and TGF-β. These changes were most pronounced in surgical models, with DMM presenting the most prominent at Day 14 and ACLT at Day 28. Day 14, changes in mechanical hyperalgesia and cold hyperalgesia were most typical in DMM model and statistically different from MIA. There was a negative correlation between the percentage of type I collagen and MWT value (r = -0.88), as well as CWT value (r = -0.95). DMM synovium showed more axonal staining, upregulated CGRP, TRPV1, NGF and Netrin1 compared with MIA. Above changes were also observed at Day 28, but ACLT replaced DMM as the most typical. In DRG, only the levels of CGRP and NGF were different among KOA models at Day 14, and the highest in DMM, which was statistically different compared with MIA.ConclusionsThis study described the details of sensory innervation in different KOA model of rats, and the degree of synovial fibrosis was positively correlated with the pain sensitivity of KOA model rats. Additionally, surgical modeling especially ACLT method is more recommended for KOA pain research.

Dataset Information

Prediction of MicroRNA and Gene Target in Synovium-Associated Pain of Knee Osteoarthritis Based on Canonical Correlation Analysis.

Publications

Prediction of MicroRNA and Gene Target in Synovium-Associated Pain of Knee Osteoarthritis Based on Canonical Correlation Analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets