RESUMEN
Objetivos: Identificar microRNAs (miRNAs) diferencialmente expresados en muestras óseas con fractura osteoporótica respecto a huesos sanos. Material y métodos: Se extrajo RNA total a partir de hueso trabecular fresco del cuello femoral de mujeres sometidas a reemplazo de cadera, ya sea debido a fractura osteoporótica (n=6) o por artrosis en ausencia de osteoporosis (según la DMO) (n=6). Las muestras se hibridaron en un array de miRNAs y se realizaron diagramas de PCA y de mapa de calor. Para la comparación de los niveles de expresión, se fijó como significativo un umbral de cambio de >1,5 veces y un valor p <0,05 en la t de Student (corregido para múltiples pruebas). Resultados: Tanto los análisis de PCA como el mapa de calor mostraron una agrupación de las muestras según si eran de fractura o no. Se detectaron 790 miRNAs en las muestras de hueso, 82 de los cuales estaban alterados en las muestras osteoporóticas. Tras la validación en otro panel de 6 muestras osteoporóticas y 6 no osteoporóticas mediante PCR a tiempo real de los miRNAs más significativos, y para los que existía un ensayo disponible, se confirmaron los miRNAs miR-320a y miR-22-3p. Estos dos miRNAs se detectaron en cultivos de osteoblastos primarios, aunque no mantenían el mismo patrón de expresión que en las muestras de hueso total. Conclusiones: Hemos demostrado que existen diferencias en la expresión de miRNAs en muestras con fractura osteoporótica, lo que abre nuevas perspectivas para la investigación y diseño de nuevas terapias (AU)
Objectives: To identify microRNAs (miRNAs) differentially expressed in bone samples with osteoporotic fracture compared with healthy bones. Methods: Total RNA was extracted from fresh trabecular bone of the femoral neck of women undergoing hip replacement surgery, either because to osteoporotic fracture (n=6) or in the absence of osteoarthritis osteoporosis (based on BMD) (n=6). The samples were hybridized on an array of miRNAs and PCA diagrams and heat map were made. To compare expression levels, >1.5 times and a value p<0.05 Student's T test (corrected for multiple testing) was set as a threshold of significant change. Results: Both PCA analysis and the heat map showed a samples grouping whether there was fracture or not. 790 were detected miRNAs in bone samples, 82 of which were altered in the osteoporotic samples. After validation in another panel of 6 samples 6 osteoporotic and non-osteoporotic by PCR real time of the most significant miRNAs, and for which there was a test available, the miRNAs, miR-320a and miR-22-3p were confirmed. These two miRNAs were detected in cultures of primary osteoblasts, although they did not maintain the same pattern of expression in total bone samples. Conclusions: We have shown that there are differences in the expression of miRNAs in samples with osteoporotic fracture. This opens prospects for research and design of new therapies (AU)
Asunto(s)
Humanos , MicroARNs/genética , Perfilación de la Expresión Génica , Osteoporosis/genética , Fracturas Osteoporóticas/genética , Osteoblastos/fisiología , Osteoclastos/fisiologíaRESUMEN
UNLABELLED: Osteoprotegerin plays a key role in bone remodelling. We studied the association between 24 polymorphisms and haplotypes on the OPG gene and bone mineral density and fractures. After multiple-testing correction, one SNP and two block-haplotypes were significantly associated with FN BMD. Two other block-haplotypes were associated with fracture. INTRODUCTION AND HYPOTHESIS: Osteoprotegerin (OPG) plays a key role in bone remodelling. Here we studied the association between polymorphisms and haplotypes on the OPG gene and bone mineral density (BMD) and fractures. METHODS: Twenty-four single nucleotide polymorphisms (SNPs) were selected to cover six haplotypic blocks and were genotyped in 964 postmenopausal Spanish women. Haplotypes were established with HaploStats. Association was analysed by GLM (for BMD) and logistic regression (for fractures) both at single SNP and haplotype levels. RESULTS: Upon adjustment for multiple testing (p < 0.0073), one of the SNPs (SNP #17, rs1032129) remained significantly associated with FN BMD (p = 0.001). Four block-haplotypes stood multiple-testing correction. Two remained associated with FN BMD and two with fracture. The association of block-4 haplotype "AC" (of SNPs #18 and #17) with FN BMD (p = 0.0002) was stronger than that of SNP#17 alone and was the best result overall. A global assessment of the results indicated that all the alleles and haplotypes with a protective effect, at p < 0.05, belonged to a frequent long-range haplotype. CONCLUSIONS: In conclusion, these results provide a detailed picture of the involvement of common variants and haplotypes of the OPG gene in bone phenotypes.