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Expression profile analysis of long non-coding RNA in skeletal muscle of osteoporosis by microarray and

Shaojin Liu1, Hongxing Huang2, Shuang Chai1

  • 11Guangzhou University of Chinese Medicine, Guangzhou, 510405 China.

Journal of Biological Engineering
|June 6, 2019
PubMed
Abstract

Insights

Long non-coding RNAs (lncRNAs) are implicated in osteoporosis, a condition of bone loss. Dysregulated lncRNAs and messenger RNAs (mRNAs) in osteoporosis patients may impact immune and metabolic systems, influencing bone health.

Area of Science:

  • Molecular Biology
  • Genetics
  • Biochemistry

Background:

  • Osteoporosis (OP) is characterized by reduced bone mass and microarchitectural deterioration, stemming from imbalanced bone remodeling.
  • The precise molecular triggers and pathways underlying OP pathogenesis remain incompletely understood.
  • Long non-coding RNAs (lncRNAs) are key regulators of gene expression and epigenetic processes; their aberrant expression is linked to various diseases, including immune and metabolic disorders.

Purpose of the Study:

  • To investigate the involvement of lncRNAs in the molecular mechanisms of osteoporosis.
  • To identify differentially expressed lncRNAs and messenger RNAs (mRNAs) in osteoporosis patients compared to healthy controls.

Main Methods:

  • Microarray analysis was employed to profile lncRNA and mRNA expression in three pairs of osteoporosis patients and healthy controls.
  • Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to validate the expression of dysregulated lncRNAs in five independent sample pairs.
  • Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to construct a lncRNA-mRNA co-expression network.

Main Results:

  • Co-expression analysis identified distinct modules of differentially expressed transcripts, with functional annotation of lncRNAs.
  • Clinical significance analysis of key lncRNAs from these modules was conducted using public datasets.
  • Quantitative RT-PCR confirmed the altered expression of five specific lncRNAs, some lacking established gene symbols, in osteoporosis tissues, suggesting a potential association with patient survival.

Conclusions:

  • Dysregulated lncRNAs and mRNAs in osteoporosis are associated with alterations in immune and metabolic systems, as well as musculoskeletal cell differentiation.
  • The identified lncRNAs represent potential novel biomarkers or therapeutic targets for osteoporosis.
  • Further experimental validation is required to elucidate the precise biological functions of these dysregulated lncRNAs in osteoporosis.
Keywords:
Microarray profileMusculoskeletalOsteoporosisQuantitative real-time PCRlncRNA

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