4.3 Article

Circulating microRNAs differentiate fast-progressing from slow-progressing and non-progressing knee osteoarthritis in the Osteoarthritis Initiative cohort

出版社

SAGE PUBLICATIONS LTD
DOI: 10.1177/1759720X221082917

关键词

epigenetics; knee OA progression; longitudinal; noncoding RNAs; phenotyping; prognostic biomarkers; sequencing

资金

  1. Canadian Institute of Health Research [156299]
  2. Krembil Foundation
  3. Schroeder Arthritis Institute via the University Health Network Foundation
  4. Natural Sciences Research Council (NSERC) [203475]
  5. Canada Foundation for Innovation (CFI) [225404, 30865]
  6. Ontario Research Fund (RDI) [34876]
  7. IBM
  8. Ian Lawson van Toch Fund
  9. Tier 1 Canada Research Chair
  10. Tony and Shari Fell Platinum Chair in Arthritis Research
  11. Arthritis Society postdoctoral fellowship
  12. Arthritis Society salary award

向作者/读者索取更多资源

This study aims to identify circulating microRNAs that distinguish fast-progressing radiographic knee osteoarthritis (OA) by applying microRNA-sequencing. The miR-320 family is associated with fast-progressing knee OA and may serve as potential biomarkers and mechanistic drivers of the disease.
Introduction: The objective of this study is to identify circulating microRNAs that distinguish fast-progressing radiographic knee osteoarthritis (OA) in the Osteoarthritis Initiative cohort by applying microRNA-sequencing. Methods: Participants with Kellgren-Lawrence (KL) grade 0/1 at baseline were included (N=106). Fast-progressors were defined by an increase to KL 3/4 by 4-year follow-up (N=20), whereas slow-progressors showed an increase to KL 2/3/4 only at 8-year follow-up (N=35). Non-progressors remained at KL 0/1 by 8-year follow-up (N=51). MicroRNA-sequencing was performed on plasma collected at baseline and 4-year follow-up from the same participants. Negative binomial models were fitted to identify differentially expressed (DE) microRNAs. Penalized logistic regression (PLR) analyses were performed to select combinations of DE microRNAs that distinguished fast-progressors. Area under the receiver operating characteristic curves (AUC) were constructed to evaluate predictive ability. Results: DE analyses revealed 48 microRNAs at baseline and 2 microRNAs at 4-year follow-up [false discovery rate (FDR) <0.05] comparing fast-progressors with both slow-progressors and non-progressors. Among these were hsa-miR-320b, hsa-miR-320c, hsa-miR-320d, and hsa-miR-320e, which were predicted to target gene families, including members of the 14-3-3 gene family, involved in signal transduction. PLR models included miR-320 members as top predictors of fast-progressors and yielded AUC ranging from 82.6 to 91.9, representing good accuracy. Conclusion: The miR-320 family is associated with fast-progressing radiographic knee OA and merits further investigation as potential biomarkers and mechanistic drivers of knee OA.

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