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Unveiling the unexplored novel signatures for osteoporosis via a detailed bioinformatics and molecular experiments based approach.
Zhou, Huan; Gul, Yousaf; Hameed, Yasir; Alhomrani, Majid; Alghamdi, Saleh A; Almalki, Abdulraheem Ali; Alsuwat, Meshari A; ALSuhaymi, Naif; Naz, Rida; Chen, Guang.
Afiliación
  • Zhou H; Department of Medical Oncology, The Second Hospital of Dalian Medical University Dalian, Liaoning, China.
  • Gul Y; Gomal Medical College, District Headquarter Teaching Hospital Dera Ismail Khan KPK, Pakistan.
  • Hameed Y; Department of Biotechnology, Institute of Biochemistry Biotechnology, and Bioinformatics, The Islamia University of Bahawalpur Pakistan.
  • Alhomrani M; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University Taif, Saudi Arabia.
  • Alghamdi SA; Research Centre for Health Sciences, Taif University Taif 21944, Saudi Arabia.
  • Almalki AA; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University Taif, Saudi Arabia.
  • Alsuwat MA; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University Taif, Saudi Arabia.
  • ALSuhaymi N; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University Taif, Saudi Arabia.
  • Naz R; Department of Emergency Medical Services, Faculty of Health Science-AlQunfudah, Umm Al-Qura University Makkah 21955, Saudi Arabia.
  • Chen G; Regional Blood Centre, KPK Health Program Dera Ismail Khan 29050, Pakistan.
Am J Transl Res ; 16(4): 1306-1321, 2024.
Article en En | MEDLINE | ID: mdl-38715824
ABSTRACT

BACKGROUND:

Osteoporosis (OP) stands as a prevalent bone ailment affecting the elderly, globally. The identification of reliable diagnostic markers crucially aids OP clinical management.

METHODS:

Utilizing the GEO database (GSE35959), we acquired expression profiles for OP and normal samples. Differential expression genes (DEGs) and hub genes were pinpointed through STRING, GEO2R, and Cytoscape. The competing endogenous RNA (ceRNA) network was constructed using miRTarBase, miRDB, and MiRcode databases. Gene Ontology (GO) and KEGG pathway enrichment analyses were performed via DAVID. Validation involved clinical OP samples from the Pakistani population, with Real-Time Quantitative Polymerase Chain Reaction (RT-qPCR) assessing hub gene expression.

RESULTS:

A total of 2124 differentially expressed genes (DEGs) were identified between OP and normal samples in GSE35959. The selected hub genes among these DEGs were Splicing Factor 3a Subunit 1 (SF3A1), Ataxin 2 Like (ATXN2L), Heat Shock Protein 90 Beta Family Member 1 (HSP90B1), Cluster of Differentiation 74 (CD74), DExH-Box Helicase 29 (DHX29), ALG5 Dolichyl-Phosphate Beta-Glucosyltransferase (ALG5), NudC Domain Containing 2 (NUDCD2), and Ras-related protein Rab-2A (RAB2A). Expression validation of these genes on the Pakistani OP patients revealed significant up-regulation of SF3A1, ATXN2L, and CD74 and significant (P < 0.05) down-regulation of HSP90B1, DHX29, ALG5, NUDCD2, and RAB2A in OP patients. Receiver operating characteristic (ROC) analysis demonstrated that these hub genes displayed considerable diagnostic accuracy for detecting OP. The ceRNA network analysis of the hub genes revealed some important hub genes' regulatory miRNAs and lncRNAs. Via KEGG analysis, hub genes were found to be enriched in N-Glycan biosynthesis, Thyroid hormone synthesis, IL-17 signaling pathway, Prostate cancer, AMPK signaling pathway, Spliceosome, Estrogen signaling pathway, and Fluid shear stress and atherosclerosis, etc., pathways.

CONCLUSION:

The identified eight hub genes in the present study could reliably distinguish OP patients from normal individuals, which may provide novel insight into the diagnostic research of OP.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Am J Transl Res Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Am J Transl Res Año: 2024 Tipo del documento: Article País de afiliación: China