We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Long non-coding RNA MIAT serves as a biomarker of fragility fracture and promotes fracture healing.
- Authors
Yu, Chao; Chen, Binbin; Su, Hui; Yang, Yiqun
- Abstract
Background: Fragility fracture is common in the elderly. Osteoblast differentiation is essential for bone healing and regeneration. Expression pattern of long non-coding RNA MIAT during fracture healing was examined, and its role in osteoblast differentiation was investigated. Methods: 90 women with simple osteoporosis and 90 women with fragility fractures were included. Another 90 age-matched women were set as the control group. mRNA levels were tested using RT-qPCR. Cell viability was detected via CCK-8, and osteoblastic biomarkers, including ALP, OCN, Collagen I, and RUNX2 were tested via ELISA. The downstream miRNAs and genes targeted by MIAT were predicted by bioinformatics analysis, whose functions and pathways were annotated via GO and KEGG analysis. Results: Serum MIAT was upregulated in osteoporosis women with high accuracy of diagnostic efficacy. Serum MIAT was even elevated in the fragility fracture group, but decreased in a time manner after operation. MIAT knockdown promoted osteogenic proliferation and differentiation of MC3T3-E1, but the influences were reversed by miR-181a-5p inhibitor. A total of 137 overlapping target genes of miR-181a-5p were predicted based on the miRDB, TargetScan and microT datasets, which were mainly enriched for terms related to signaling pathways regulating pluripotency of stem cells, cellular senescence, and osteoclast differentiation. Conclusions: LncRNA MIAT serves as a promising biomarker for osteoporosis, and promotes osteogenic differentiation via targeting miR-181a-5p.
- Subjects
FRACTURE healing; OSTEOBLASTS; BONE regeneration; DATA analysis; T-test (Statistics); MICRORNA; CELL physiology; ENZYME-linked immunosorbent assay; DESCRIPTIVE statistics; GENE expression; BIOINFORMATICS; ONE-way analysis of variance; STATISTICS; CELL differentiation; OSTEOPOROSIS; BIOLOGICAL assay; DATA analysis software; CELL survival; BIOMARKERS
- Publication
Journal of Orthopaedic Surgery & Research, 2024, Vol 19, Issue 1, p1
- ISSN
1749-799X
- Publication type
Article
- DOI
10.1186/s13018-024-04824-7