SNPs in GPCR Genes and Impaired Osteogenic Potency in Osteoporotic Patient Lines-Based Study

G-protein-coupled receptors (GPCRs) have emerged as critical regulators of bone development and remodeling. In this study, we aimed to identify specific GPCR mutations in osteoporotic patients via next-generation sequencing (NGS). We performed NGS sequencing of six genomic DNA samples taken from osteoporotic patients and two genomic DNA samples from healthy donors. Next, we searched for single-nucleotide polymorphisms (SNPs) in GPCR genes that are associated with osteoporosis. For three osteoporotic patients and one healthy donor, bone biopsies were used to generate patient-specific mesenchymal stem cell (MSC) lines, and their ability to undergo osteodifferentiation was analyzed. We found that MSCs derived from osteoporotic patients have a different response to osteoinductive factors and impaired osteogenic differentiation using qPCR and histochemical staining assays. The NGS analysis revealed specific combinations of SNPs in GPCR genes in these patients, where SNPs in <i>ADRB2</i> (rs1042713), <i>GIPR</i> (rs1800437), <i>CNR2</i> (rs2501431, rs3003336), and <i>WLS</i> (rs3762371) were associated with impaired osteogenic differentiation capacity. By integrating NGS data with functional assessments of patient-specific cell lines, we linked GPCR mutations to impaired bone formation, providing a foundation for developing personalized therapeutic strategies. SNP analysis is recognized as a proactive approach to osteoporosis management, enabling earlier interventions and targeted preventive measures for individuals at risk. Furthermore, SNP analysis contributes to the development of robust, holistic risk prediction models that enhance the accuracy of risk assessments across the population. This integration of genetic data into public health strategies facilitates healthcare initiatives. This approach could guide treatment decisions tailored to the patient's genetic profile and provide a foundation for developing personalized therapeutic strategies.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2024-12-19
DOI
https://doi.org/10.3390/ijms252413594
Citations
4
Primary Topic
Genetic factors in colorectal cancer
Type
article
Field-Weighted Citation Impact
1.70

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article

SNPs in GPCR Genes and Impaired Osteogenic Potency in Osteoporotic Patient Lines-Based Study

G. I. Vasilieva, O. M. Lesnyak, Olga Krasnova, Julia V. Sopova et al.
4 citations
International Journal of Molecular Sciences
Genetic factors in colorectal cancer
1.70
article

SNPs in GPCR Genes and Impaired Osteogenic Potency in Osteoporotic Patient Lines-Based Study

G. I. Vasilieva, O. M. Lesnyak, Olga Krasnova, Julia V. Sopova, Anna S. Zhuk, Irina Neganova, Vitaliy Karelkin
article en
4 citations

Abstract

G-protein-coupled receptors (GPCRs) have emerged as critical regulators of bone development and remodeling. In this study, we aimed to identify specific GPCR mutations in osteoporotic patients via next-generation sequencing (NGS). We performed NGS sequencing of six genomic DNA samples taken from osteoporotic patients and two genomic DNA samples from healthy donors. Next, we searched for single-nucleotide polymorphisms (SNPs) in GPCR genes that are associated with osteoporosis. For three osteoporotic patients and one healthy donor, bone biopsies were used to generate patient-specific mesenchymal stem cell (MSC) lines, and their ability to undergo osteodifferentiation was analyzed. We found that MSCs derived from osteoporotic patients have a different response to osteoinductive factors and impaired osteogenic differentiation using qPCR and histochemical staining assays. The NGS analysis revealed specific combinations of SNPs in GPCR genes in these patients, where SNPs in <i>ADRB2</i> (rs1042713), <i>GIPR</i> (rs1800437), <i>CNR2</i> (rs2501431, rs3003336), and <i>WLS</i> (rs3762371) were associated with impaired osteogenic differentiation capacity. By integrating NGS data with functional assessments of patient-specific cell lines, we linked GPCR mutations to impaired bone formation, providing a foundation for developing personalized therapeutic strategies. SNP analysis is recognized as a proactive approach to osteoporosis management, enabling earlier interventions and targeted preventive measures for individuals at risk. Furthermore, SNP analysis contributes to the development of robust, holistic risk prediction models that enhance the accuracy of risk assessments across the population. This integration of genetic data into public health strategies facilitates healthcare initiatives. This approach could guide treatment decisions tailored to the patient's genetic profile and provide a foundation for developing personalized therapeutic strategies.

International Journal of Molecular SciencesVol. 25(24)
St Petersburg University (RU), ITMO University (RU), Russian Scientific Research Institute of Traumatology and Orthopedics named after R.R. Vreden (RU), Institute of Cytology (RU), North-Western State Medical University named after I.I. Mechnikov (RU)
Ministry of Science and Higher Education of the Russian Federation
Openalex Percentile: Top 15%
Genetic factors in colorectal cancer
1.70
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