Apoptosis pathways and osteoporosis: An approach to genomic analysis

Author:

Huang Hsiao‐Ling1ORCID,Wu Chung‐Ken2,Wu Dai‐Jia3ORCID,Liu Wen‐Hsiu4ORCID,Lee Ying‐Shiung56,Wu Chi‐Ling7ORCID

Affiliation:

1. Department of Healthcare Management Yuanpei University of Medical Technology Hsinchu Taiwan

2. The PhD Program for Aging China Medical University Taichung City Taiwan

3. Department of Nursing Lin Shin Hospital Taichung City Taiwan

4. Department of Public Health and Institute of Public Health Chung Shan Medical University Taichung Taiwan

5. Institute of Medicine Chung Shan Medical University Taichung Taiwan

6. Office of the Dean, General Institute Chung Shan Medical University Hospital Taichung City Taiwan

7. Department of Nursing Jen‐Teh Junior College of Medicine, Nursing, and Management Miaoli County Taiwan

Abstract

AbstractBackgroundOsteoporosis is a disease of the bone system that causes a decrease in skeletal density and degrades skeletal tissue. Decreased bone quality, so that bones are easily broken, damaged and fractured, is an important public health problem. Previous studies have shown that the maintenance of adult bone mass is not only due to changes in bone marrow and bone cells. By regulating apoptosis, they change the lifespan of each individual. This study influences understanding of the function of apoptosis in the pathogenesis of osteoporosis and the importance of controlling the mechanisms of osteoporosis.MethodsOn the National Institute of Biotechnology Information website, Gene Expression Omnibus (GEO) microarray data and GSE551495 GEO profiles were collected. The gene set enrichment analysis tool was used to confirm the enrichment of genetic sets in relation to the gene set. The collection of C2 gene sets is compiled from the KEGG (https://www.gsea-msigdb.org/gsea/msigdb/human/search.jsp and https://www.kegg.jp/kegg/) online database and REACTOME (https://www.gsea-msigdb.org/gsea/msigdb/human/search.jsp and https://reactome.org/) pathway analysis. The Search Tool for the Retrieval of Interaction Genes (STRING) website was used to construct and select proteins and genes. The comparative toxicological genomic database (CTD) tools can be used to predict the relationship between apoptosis, osteoporosis‐related genes and interactions between central genes and osteoporosis.ResultsThese results generally expand our understanding of the path of apoptosis in osteoporosis. We have discovered genes CASP9, CASP8, CASP3, BAX and TP53 associated with osteoporosis. In activation of KEGG apoptosis and REACTOME, caspase activation through the extrinsic apoptotic signaling pathway is characterized by the identification of a subcollection of C2. Other STRINGs show the formation of protein networks and central gene selection, and CTD can accurately predict the relationship between these apoptosis pathways and central genes.ConclusionsOur research has highlighted the importance of the osteoporosis pathway associated with osteoporosis apoptosis with several analytical approaches. These results have broadened our understanding of the pathways of osteoporosis apoptosis. It is particularly possible to predict the sensitivity and vulnerability to osteoporosis.

Publisher

Wiley

Subject

Genetics (clinical),Drug Discovery,Genetics,Molecular Biology,Molecular Medicine

Reference39 articles.

1. An overview and management of osteoporosis

2. Bone mineral density in adults in Taiwan: results of the nutrition and health survey in Taiwan 2005‐2008 (NAHSIT 2005‐2008);Lin Y‐C;Asia Pac J Clin Nutr,2011

3. WattsJ Abimanyi‐OchomJ SandersKM.Osteoporosis costing all Australian: a new burden of disease analysis‐2012 to 2022.2013.

4. High-Throughput Sequencing Reveals CXCR4 and IGF1 Behave Different Roles in Weightlessness Osteoporosis

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