Transcriptomics

Dataset Information

0

Drug repurposing strategy reveals Cobimetinib as a promising disease-modifying drug for Osteoarthritis


ABSTRACT: Osteoarthritis (OA) is a common disabling disease for which no effective pharmacological therapy exists. The progression of osteoarthritis is characterized by the loss of homeostasis in the cartilage. Since in the early stages of the disease, a phenotypic switch is seen in which articular chondrocytes become hypertrophic and promote degradation of the cartilage extracellular matrix, targeting this phenomenon might be the key to developing a disease-modifying osteoarthritis drug (DMOAD). In this study, the signature reversing principle combined with a drug repurposing strategy was used to accelerate the identification and validation of potential DMOADs. Starting from single-cell transcriptomic analysis of patient-derived cartilage, we identified 6 drugs predicted to reduce chondrocyte hypertrophy. Subsequent in vitro evaluation in human chondrocytes and cartilage explants demonstrated that Cobimetinib, a MEK1/2 inhibitor, reduced chondrocyte hypertrophy-related and catabolic gene expression, such as SPP1, COL10A1, MMP13 and ADAMTS5, while promoting collagen type 2 and aggrecan gene expression. Finally, single-cell RNA sequencing performed on osteoarthritic cartilage explants exposed to Cobimetinib ex vivo confirmed the anti-hypertrophic effect of Cobimetinib on hypertrophy-related gene expression and additionally showed a deletion of chondrocytes with a fibrotic phenotype. This study is a proof of concept that omics data together with a drug repurposing strategy accelerate drug discovery in diseases like osteoarthritis and could quickly lead to many new therapeutic roles for safe and effective drugs.

ORGANISM(S): Homo sapiens

PROVIDER: GSE290973 | GEO | 2026/01/07

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2025-07-20 | GSE302635 | GEO
2020-10-01 | GSE154949 | GEO
2021-02-24 | GSE157955 | GEO
2020-07-06 | GSE152805 | GEO
2016-02-29 | E-GEOD-73372 | biostudies-arrayexpress
2016-03-21 | GSE75995 | GEO
2009-09-13 | E-GEOD-16464 | biostudies-arrayexpress
2012-01-01 | E-GEOD-30628 | biostudies-arrayexpress
2023-05-02 | GSE219215 | GEO
2025-08-31 | GSE305514 | GEO