Novel SNP Combination for Predictive Osteoporotic Diagnosis

Area of Science:

• Genetics and Molecular Biology
• Endocrinology
• Bone Biology

Background:

• Osteoporosis is a complex disease influenced by genetic, hormonal, and metabolic factors, necessitating early diagnostic tools.
• Identifying genetic predictors is crucial for preventing bone mineral density (BMD) loss.
• G-protein-coupled receptors (GPCRs) play a vital role in bone development and remodeling.

Purpose of the Study:

• To investigate single-nucleotide polymorphisms (SNPs) in GPCR genes associated with osteoporosis.
• To identify potential genetic biomarkers for early osteoporosis screening and prevention.

Main Methods:

• Next-generation sequencing and Sanger sequencing were employed to analyze GPCR genes in patient cohorts.
• Three specific SNPs (rs1991517 in TSHR, rs6166 in FSHR, rs1042713 in ADRB2) were selected for further analysis.
• Functional validation of the identified SNP combination was performed using patient-derived cell lines.

Main Results:

• A significant association was found between osteoporosis and a specific homozygous genotype combination: TSHR rs1991517 CC, FSHR rs6166 AA, and ADRB2 rs1042713 AA.
• This triple-SNP combination demonstrated functional impairment in osteodifferentiation.
• This is the first study to report a specific GPCR gene polymorphism combination as a predictive biomarker for osteoporosis.

Conclusions:

• A specific combination of GPCR gene polymorphisms (TSHR, FSHR, ADRB2) may serve as a predictive biomarker for osteoporosis.
• Early genetic screening for this triple-SNP combination could aid in preventing BMD loss.
• Further research is warranted to validate these findings in diverse populations.