Prediction of MicroRNA and Gene Target in Synovium-Associated Pain of Knee Osteoarthritis Based on Canonical Correlation Analysis
المؤلفون المشاركون
Wang, Haiming
Hu, Yue
Xie, Yujie
Wang, Li
Wang, Jianxiong
Lei, Lei
Huang, Maomao
Zhang, Chi
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-10-13
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
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.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Haiming& Hu, Yue& Xie, Yujie& Wang, Li& Wang, Jianxiong& Lei, Lei…[et al.]. 2019. Prediction of MicroRNA and Gene Target in Synovium-Associated Pain of Knee Osteoarthritis Based on Canonical Correlation Analysis. BioMed Research International،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1125364
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Haiming…[et al.]. Prediction of MicroRNA and Gene Target in Synovium-Associated Pain of Knee Osteoarthritis Based on Canonical Correlation Analysis. BioMed Research International No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1125364
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Haiming& Hu, Yue& Xie, Yujie& Wang, Li& Wang, Jianxiong& Lei, Lei…[et al.]. Prediction of MicroRNA and Gene Target in Synovium-Associated Pain of Knee Osteoarthritis Based on Canonical Correlation Analysis. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1125364
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1125364
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر