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pmid:32765697

A validated miRNA signature for the diagnosis of osteoporosis related fractures using SVM algorithm classification.

Xiaolin Tang · Yinshan Bai · Zhiming Zhang · Jianlin Lu

Experimental and therapeutic medicine · 2020 doi:10.3892/etm.2020.8928

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:32765697
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science-record
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2026-11-01T15:41:07Z
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2026-11-01T22:01:59Z
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paper object · 10 fields
state
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title
A validated miRNA signature for the diagnosis of osteoporosis related fractures using SVM algorithm classification.
doi
10.3892/etm.2020.8928
pmid
32765697
authors array · 4 items
[0]
Xiaolin Tang
[1]
Yinshan Bai
[2]
Zhiming Zhang
[3]
Jianlin Lu
journal
Experimental and therapeutic medicine
year
2020
abstract
The aim of the present study was to develop a circulating microRNA expression signature for early prediction of osteoporotic fractures and to validate the results using Gene Expression Omnibus (GEO) datasets. The GSE70318 dataset was downloaded from GEO and used to build an osteoporotic fracture prediction model based on the receiver operating characteristic curve and support vector machine (SVM) classification index. The GSE74209 dataset was used as a validation dataset. Additionally, in vitro, alkaline phosphatase (ALP) activity was measured in the presence or absence of microRNA (miRNA/miR) treatments in human osteoblast cells. The expression of two selected genes was detected by western blotting. miR-188-3p, miR-942-3p, miR-576-3p and miR-135a-5p were differentially expressed between controls and osteoporotic patients with fractures. SVM classification using these four miRNAs provided better dichotomization. It was further confirmed that miR-576-3p and 135a-5p in the GSE74209 dataset could also significantly discriminate between the controls and fracture patients, the area under the curve of SVM2 was 0.9722 with 95% CI 0.8885-1.056. Further analysis indicated that the target genes of the two miRNAs participated in the Wingless-related integration site, Hedgehog and transforming growth factor-β signaling pathways and osteoclast differentiation. miR-576-3p and miR-135-5p transfection decreased ALP activity and ALP activity was increased in the presence of blocking antisense oligonucleotides. Western blotting indicated miR-576-3p and miR-135-5p decreased CSNK1A1L and LRP6 levels, respectively. In conclusion, two miRNA signatures were developed and validated for the prediction of osteoporotic fractures.
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In the initial miRNA data analysis, comparison between fracture and healthy control patients was tested using a Mann-Whitey U-test where P<0.05 was considered to indicate a statistically significant difference.
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In the initial miRNA data analysis, comparison between fracture and healthy control patients was tested using a Mann-Whitey U-test where P<0.05 was considered to indicate a statistically significant difference.
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title
Serum microRNA signatures are indicative of skeletal fractures in post-menopausal women with and without type 2 diabetes and influence osteo-genic differentiation of mesenchymal stem cells
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2026-11-01T15:39:55Z
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MiRNA Profiling of Whole Trabecular Bone: Identification of Osteoporosis-Related Changes in MiRNAs in Human Hip Bones
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Bone formation pathways associated with the two miRNA targets.
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Two miRNA signature in KEGG and GO annotation analysis
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In the initial miRNA data analysis, comparison between fracture and healthy control patients was tested using a Mann-Whitey U-test where P<0.05 was considered to indicate a statistically significant difference.
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Complete file
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