Evidence map›Paper›PMID 34587952›Full record

ArticleBMC medical genomics2021

Identification and validation of pivotal genes related to age-related meniscus degeneration based on gene expression profiling analysis and in vivo and in vitro models detection.

Ming Chen, Siqi Zhou, Huasong Shi, Hanwen Gu, Yinxian Wen, Liaobin Chen

Abstract readValidation Study
In one paragraph

Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ming Chen *Division of Joint Surgery and Sports Medicine, Department of Orthopedics Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Siqi Zhou *Division of Joint Surgery and Sports Medicine, Department of Orthopedics Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Huasong Shi *Division of Joint Surgery and Sports Medicine, Department of Orthopedics Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Hanwen GuDivision of Joint Surgery and Sports Medicine, Department of Orthopedics Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Yinxian WenDivision of Joint Surgery and Sports Medicine, Department of Orthopedics Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. wenyinxian@whu.edu.cn.
Liaobin ChenDivision of Joint Surgery and Sports Medicine, Department of Orthopedics Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. lbchen@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe componential and structural change in the meniscus with aging would increase the tissue vulnerability of the meniscus, which would induce meniscus tearing. Here, we investigated the molecular mechanism of age-related meniscus degeneration with gene expression profiling analysis, and validate pivotal genes in vivo and in vitro models.

methodsThe GSE45233 dataset, including 6 elderly meniscus samples and 6 younger meniscus samples, was downloaded from the Gene Expression Omnibus (GEO) database. To screen the differential expression of mRNAs and identify the miRNAs targeting hub genes, we completed a series of bioinformatics analyses, including functional and pathway enrichment, protein-protein interaction network, hub genes screening, and construction of a lncRNA-miRNA-mRNA network. Furthermore, crucial genes were examined in human senescent menisci, mouse senescent meniscus tissues and mouse meniscus cells stimulated by IL-1β.

resultsIn total, the most significant 4 hub genes (RRM2, AURKB, CDK1, and TIMP1) and 5 miRNAs (hsa-miR-6810-5p, hsa-miR-4676-5p, hsa-miR-6877-5p, hsa-miR-8085, and hsa-miR-6133) that regulated such 4 hub genes, were finally identified. Moreover, these hub genes were decreased in meniscus cells in vitro and meniscus tissues in vivo, which indicated that hub genes were related to meniscus senescence and could serve as potential biomarkers for age-related meniscus tearing.

conclusionsIn short, the integrated analysis of gene expression profile, co-expression network, and models detection identified pivotal genes, which elucidated the possible molecular basis underlying the senescence meniscus and also provided prognosis clues for early-onset age-related meniscus tearing.

Indexed as

Gene Expression ProfilingAgingAnimalsGene OntologyHumansIn Vitro TechniquesMeniscusMiceMice, Inbred C57BLMicroRNAsProtein Interaction MapsRNA, Long NoncodingRNA, MessengerMicroRNAsRNA, Long NoncodingRNA, MessengerBioinformatics analysisMeniscus degenerationSenescence

Identifiers

PMID34587952
PMCPMC8482591

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