Identification of lncRNA and mRNA Biomarkers in Osteoarthritic Degenerative Meniscus by Weighted Gene Coexpression Network and Competing Endogenous RNA Network Analysis

المؤلفون المشاركون

Zhao, Jun
Su, Yu
Jiao, Jianfei
Wang, Zhengchun
Fang, Xiangchun
He, Xuefeng
Zhang, Xiaofeng
Liu, Zhao
Xu, Xilin

المصدر

BioMed Research International

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-05-20

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

الطب البشري

الملخص EN

Background.

Long noncoding RNAs (lncRNAs) play a crucial role in varieties of biological processes.

This study is aimed at investigating meniscal degeneration-specific lncRNAs and mRNAs and their related networks in knee osteoarthritis (KOA).

Methods.

The dataset GSE98918, which included 24 meniscus samples and related clinical data, was downloaded from the Gene Expression Omnibus database.

The differentially expressed lncRNAs and mRNAs in the meniscus between KOA and control groups were identified.

Based on the enriched differentially expressed lncRNAs and mRNAs, we constructed the coexpression network using WGCNA (weighted correlation network analysis) and identified the critical module related to KOA.

For mRNAs in the key module, gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were carried out using the DAVID database.

A competing endogenous RNA network (ceRNA) based on the screened mRNAs, lncRNAs, and related miRNAs was constructed to reveal presumptive biomarkers further.

Finally, the hub lncRNAs and mRNAs were screened, and the diagnostic value was evaluated using a receiver operating characteristic (ROC) curve.

Hub mRNAs were validated using the dataset GSE113825.

Results.

We screened 208 significantly differentially expressed lncRNAs and mRNAs in menisci between the KOA and non-KOA samples, which were enriched in sixteen modules using WGCNA, especially the green module.

Coexpression network based on the enriched differentially expressed lncRNAs and mRNAs in the green module uncovered 5 lncRNAs and 56 mRNAs.

The lncRNA-miRNA-mRNA ceRNA network revealed that lnc-HLA-DQA1-5, lnc-RP11-127H5.1.1-1, lnc-RTN2-1, IGFBP4 (insulin-like growth factor binding protein 4), and KLF2 (Kruppel-like factor 2) were significantly correlated with the meniscus degeneration of KOA.

ROC curve analysis revealed that these hub lncRNAs and mRNAs showed excellent diagnostic value for KOA.

Conclusions.

These hub lncRNAs and mRNAs were potential prognostic biomarkers for the meniscus degeneration of KOA.

Further studies are required to validate these new biomarkers and better understand the pathological process of the meniscus degeneration of KOA.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhao, Jun& Su, Yu& Jiao, Jianfei& Wang, Zhengchun& Fang, Xiangchun& He, Xuefeng…[et al.]. 2020. Identification of lncRNA and mRNA Biomarkers in Osteoarthritic Degenerative Meniscus by Weighted Gene Coexpression Network and Competing Endogenous RNA Network Analysis. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1132330

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhao, Jun…[et al.]. Identification of lncRNA and mRNA Biomarkers in Osteoarthritic Degenerative Meniscus by Weighted Gene Coexpression Network and Competing Endogenous RNA Network Analysis. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1132330

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhao, Jun& Su, Yu& Jiao, Jianfei& Wang, Zhengchun& Fang, Xiangchun& He, Xuefeng…[et al.]. Identification of lncRNA and mRNA Biomarkers in Osteoarthritic Degenerative Meniscus by Weighted Gene Coexpression Network and Competing Endogenous RNA Network Analysis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1132330

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1132330