ArticleJournal of orthopaedic surgery and research2026
Circulating microRNA signatures for diagnosis and prediction of curve progression in pediatric patients with idiopathic scoliosis.
Article in Journal of orthopaedic surgery and research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Circulating microRNA signatures for diagnosis and prediction of curve progression in pediatric patients with idiopathic scoliosis.Journal of orthopaedic surgery and research · 2026Article
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Authors and funding
6 authors.
Funding
Abstract
backgroundIdiopathic scoliosis (IS) is the most common pediatric spinal deformity, yet no biomarker currently enables early diagnosis or reliable prediction of progression to guide individualized treatment. Circulating microRNAs (miRNAs) are promising non‑invasive biomarkers reflecting multifactorial disease mechanisms.
methodsIn our prospective monocentric study, a Czech cohort comprising 114 pediatric IS patients at the time of diagnosis and 89 age‑matched healthy controls was studied. Risk groups were defined based on the final Cobb angle at the end of follow-up at skeletal maturity. Plasma miRNA profiles were obtained by small RNA sequencing and analyzed for differential expression. Logistic regression models were used to construct miRNA diagnostic and prognostic signatures, validated by leave‑one‑out cross‑validation (LOOCV).
resultsDifferential expression analysis identified 48 miRNAs with significantly different expression in the blood plasma of IS patients and controls (adj. p < 0.05), and plasma miR-4451 to have decreased levels in high-risk compared to low- and medium-risk IS patients (adj. p < 0.01). A 28‑miRNA diagnostic signature distinguished IS patients from controls with AUC = 0.95 (sensitivity 88%, specificity 92%) and LOOCV accuracy = 0.85. For prognosis, comparison of high‑risk versus low/medium‑risk patients revealed a 7‑miRNA prognostic signature, achieving AUC = 0.83, sensitivity 82%, specificity 74% and LOOCV accuracy = 0.81. Notably, the incorporation of clinical variables such as age or sex did not improve significantly model performance.
conclusionsOur study highlights the clinical utility of miRNA‑based models for precise diagnosis and individualized patient management and supports further validation in larger, independent cohorts.
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