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

Joint Authors

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

Source

BioMed Research International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-05-20

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Medicine

Abstract 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.

American Psychological Association (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

Modern Language Association (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

American Medical Association (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

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1132330