Dataset Information

99-MiDeTe

ABSTRACT: We studied microRNA expression levels from serum of postmenopausal women with osteoporosis by investigating the anti-osteoporotic treatment denosumab for a period of 2 years in a longitudinal study. Serum RNA was extracted and subject to small RNA sequencing on an Illumina HiSeqV4 SR50 using 50bp, single end reads. After mapping against GRCh38.p12 provided by Ensembl and miRBase v22.1 differential expression analysis was undertaken with edgeRv3.28 using a quasi-likelihood negative binomial generalized log-linear model. We identified a panel of altered small non-coding RNAs between 3 different time points for all patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE206540 | GEO | 2023/12/31

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Osteoporosis is the consequence of altered bone metabolism resulting in the systemic reduction of bone strength and increased risk of fragility fractures. MicroRNAs (miRNAs) regulate gene expression on a post-transcriptional level are known to take part in the control of bone formation and bone resorption. Recently, targeted secretion of miRNAs from cells originating from various tissues has been described, which allows for their minimal-invasive detection in serum/plasma and use as biomarkers for presence and progression of pathological conditions. One pilot study has reported circulating miRNAs in serum and tissue of fracture patients. However, further studies are required to explore whether a dysbalance in bone homeostasis of fracture patients can reliably be reflected by specific circulating miRNAs, and whether these miRNAs might serve as drugable targets. Here, we report results from a comprehensive multiplex study of 175 miRNAs in serum samples obtained from 7 patients with osteoporotic fractures at the femoral neck, and 7 age-matched controls. Following elaborate quality control statistical analysis of this exploratory dataset identified 9 microRNAs with altered serum levels in response to fracture (adjusted p-value < 0.1). Of these, hsa-miR-10a/b gave excellent discrimination of both groups (AUC = 1.0), and clustering of samples based on the top10 miRNAs confirmed the high discriminatory power of circulating microRNAs for osteoporotic fractures. In the next step 3 miRNAs with unknown roles in osteogenic differentiation and 4 miRNA from a previous study were tested for their effects on osteogenic differentiation. Of these, 3 miRNAs showed robust effects on osteogenic differentiation. Overall, these data provide important insights into changes in serum miRNA in post-traumatic patients. Future studies will show, whether this knowledge can be used to improve current diagnostic methodologies to predict fracture risk and design novel treatment strategies for osteoporosis patients. Two groups with n=7 per group; one groups represents cases with osteoporotic fractures, the control group is age-matched without fractures

Dataset Information

99-MiDeTe

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure