Level C· Early human research exploring benefitsProspective StudyEurope PMC

Unveiling the unexplored novel signatures for osteoporosis via a detailed bioinformatics and molecular experiments based approach

Zhou H., Gul Y., Hameed Y., Alhomrani M., Alghamdi SA., Almalki AA.

Prospective Study, published in Am J Transl Res (2024) — summary generated from the PubMed abstract.

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Level C· Early human research exploring benefitsEvidence level of this study

Early human evidence such as case series or small samples is exploring possible benefits.

  • Level A · Stronger Clinical Evidence
  • Level B · Emerging clinical evidence with positive signals
  • Level C · Early human research exploring benefits
  • Level D · Scientific groundwork from lab and animal studies
  • Emerging · Emerging topic under active research
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This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.

Study type
Prospective Study
Journal
Am J Transl Res (2024)
Reported sample size
—
Source database
Europe PMC
PMID
38715824
PMCID
PMC11070346
DOI
10.62347/tayd3318
Citations
3

Abstract (original English)

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 Conclusion The id

What this study does not prove

  • • This study does not prove SVF is an approved treatment or a replacement for standard care.

Evidence level

Early human evidence such as case series or small samples is exploring possible benefits.

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