Identification of suitable reference gene and biomarkers of serum miRNAs for osteoporosis

Citations Over TimeTop 10% of 2016 papers

Abstract

Our objective was to identify suitable reference genes in serum miRNA for normalization and screen potential new biomarkers for osteoporosis diagnosis by a systematic study. Two types of osteoporosis models were used like as mechanical unloading and estrogen deficiency. Through a large-scale screening using microarray, qPCR validation and statistical algorithms, we first identified miR-25-3p as a suitable reference gene for both type of osteoporosis, which also showed stability during the differentiation processes of osteoblast and osteoclast. Then 15 serum miRNAs with differential expression in OVX rats were identified by microarray and qPCR validation. We further detected these 15 miRNAs in postmenopausal women and bedrest rhesus monkeys and evaluated their diagnostic value by ROC analysis. Among these miRNAs, miR-30b-5p was significantly down-regulated in postmenopausal women with osteopenia or osteoporosis; miR-103-3p, miR-142-3p, miR-328-3p were only significantly decreased in osteoporosis. They all showed positive correlations with BMD. Except miR328-3p, the other three miRNAs were also declined in the rhesus monkeys after long-duration bedrest. Their AUC values (all >0.75) proved the diagnostic potential. Our results provided a reliable normalization reference gene and verified a group of circulating miRNAs as non-invasive biomarkers in the detection of postmenopausal- and mechanical unloading- osteoporosis.

Related Papers

• → Differential gene expression profiles in peripheral blood in Northeast Chinese Han people with acute myocardial infarction(2018)22 cited
• → Comparative study of microarray and experimental data on Schwann cells in peripheral nerve degeneration and regeneration: big data analysis(2019)14 cited
• → The promise and perils of microarray analysis(2006)8 cited
• → A standardized fold change method for microarray differential expression analysis used to reveal genes involved in acute rejection in murine allograft models(2017)3 cited
• Preparation PRV,PPV and JEV detection microarray(2007)