Investigation of the relationship between osteoporosis and lipid metabolism disorders based on bioinformatics

ZHANG Fang-qing; WU Jia-shuo; RUAN Hao-nan; XUE Hao-tian; WANG Jing-xun; SHI Yue

doi:10.3969/j.issn.2095-252X.2024.02.009

Abstract：Objective To investigate the potential mechanism and relationship between osteoporosis and abnormal lipid metabolism disorders based on bioinformatics analysis.Methods The GeneCards,OMIM,Drugbank and TTD databases were used to screen disease-related targets with the key words"osteoporosis","obesity","atherosclerosis","nonalcoholic fatty liver disease"and"diabetes".The overlapped targets were finally selected to construct protein-protein interaction network,screen hub genes and perform GO and KEGG enrichment analysis.The gene regulatory networks were constructed to explore the potential relationship among target gene,drug,microRNAs and transcription factors.Results A total of 841 target genes for osteoporosis,1142 for nonalcoholic fatty liver disease,696 for atherosclerosis,717 for obesity and 691 for diabetes was collected as disease-related target datasets.The 69 overlapped targets were selected for further analysis.Based on the STRING database,GO enrichment analysis showed 1372 terms and KEGG analysis showed 136 signaling pathways(P＜0.05).Ten drugs,83 transcription factors and 82 microRNAs were obtained according to the results of gene regulatory network analysis.Conclusions The core overlapped targets such as AKT1,ALB,INS,IL-6,TNF,LEP and PPARG were enriched on AMPK signaling pathway,HIF-1 signaling pathway,and pathways associated with cancers.Tight relationships with fatty acid metabolic process and immune/inflammatory processes were shown.Drugs including glucosamine could provide references for the clinical treatment of comorbidity with osteoporosis and abnormal lipid metabolism disorders.