The association of OPG polymorphisms with risk of osteoporotic fractures: A systematic review and meta-analysis

Genomic Insights into Host Susceptibility to Periprosthetic Joint Infections: A Comprehensive Literature Review

Periprosthetic joint infection (PJI) is a multifactorial disease, and the risk of contracting infection is determined by the complex interplays between environmental and host-related factors. While research has shown that certain individuals may have a genetic predisposition for PJI, the existing literature is scarce, and the heterogeneity in the assessed genes limits its clinical applicability. Our review on genetic susceptibility for PJI has the following two objectives: (1) Explore the potential risk of developing PJI based on specific genetic polymorphisms or allelic variations; and (2) Characterize the regulatory cascades involved in the risk of developing PJI. This review focused on clinical studies investigating the association between genetic mutations or variations with the development of PJI. The genes investigated in these studies included toll-like receptors and humoral pattern recognition molecules, cytokines, chemokines, mannose-binding lectin (MBL), bone metabolism molecules, and human leukocyte antigen. Among these genes, polymorphisms in IL-1, MBL, vitamin D receptors, HLA-C, and HLA-DQ might have a relevant impact on the development of PJI. The literature surrounding this topic is limited, but emerging transcriptomic and genome-wide association studies hold promise for identifying at-risk genes. This advancement could pave the way for incorporating genetic testing into preoperative risk stratification, enhancing personalized patient care.

Osteoprotegerin genetic polymorphisms and their influence on therapeutic response to ibandronate in postmenopausal osteoporotic females

OBJECTIVES

The present study investigated osteoprotegerin (OPG) genetic polymorphisms and their influence on the therapeutic response to ibandronate in postmenopausal osteoporotic females.

METHODS

This case-control study included 135 postmenopausal females (89 osteoporotic females and 46 non-osteoporotic females). Each osteoporotic patient received a monthly 150 mg ibandronate tablet for six months, and blood samples were taken before and after treatment. Bone mineral density (BMD) was measured using DEXA Scan. Three SNPs (A163G, T245G, and G1181C) of the OPG gene were selected for analysis.

RESULTS

Serum OPG levels were significantly lower in osteoporotic subjects than in the control group. The percentage changes in OPG levels in the osteoporotic group before and after treatment with ibandronate were significant (p < .001). After six months of therapy with ibandronate, the percentage changes in OPG levels with AA, TT, TC, GC, and GG genotypes were significant. Following six months of ibandronate treatment, the AA genotype of rs3134069, TT, TC genotypes of rs3102735, GG, and GC genotypes of rs2073618 SNP showed a significant increase in OPG levels. Age, BMI, and GC polymorphism (rs2073618 (G/C) G1181C) were inversely associated with low BMD. Adjusted odds ratios (OR) showed that BMI, GC, GG polymorphism (rs2073618 (G/C) G1181C) and TC polymorphism (rs3102735 (T/C) A163G) were inversely associated with low BMD.

CONCLUSION

The inverse association of rs2073618 and rs3102735 with low BMD indicates the protective role of these SNPs in our population. More research is needed to replicate these results in another cohort and to determine the molecular processes by which such SNPs may influence BMD.

Association of OPG and RANKL gene polymorphisms with bone mineral density in Indian women

Osteoprotegerin (OPG) and receptor activator of the NF-kB ligand (RANKL) are key players in bone remodelling. Reports show that OPG and RANKL gene polymorphisms are associated with osteoporosis and fracture risk. The aim of this study was to examine the influence of 5 single nucleotide polymorphisms (SNPs) in OPG and RANKL gene on bone mineral density (BMD) in Indian women. The study included 374 healthy Indian women. Kompetitive Allele Specific PCR (KASP) was used for genotyping. There was a significant difference in the BMD at spine between genotypes of OPG rs2073618 (CC: 0.988 ± 0.167 CG: 1.023 ± 0.17 GG: 1.053 ± 0.155; p = 0.039) which was lost upon adjustment for age and BMI (p = 0.087). Multiple linear regression revealed that genotypes of OPG rs2073618 (β = 0.098; p = 0.027) and rs3102735 (β = 0.092; p = 0.038) are predictors of BMD at spine in Indian women. We did not observe any association of SNPs in RANKL gene with BMD. Thus, SNPs rs2073618 and rs3102735 in OPG gene may influence BMD at spine in Indian women.