» Articles » PMID: 37993861

TMT Quantitative Proteomics Reveals Key Proteins Relevant to MicroRNA-1-mediated Regulation in Osteoarthritis

Overview
Journal Proteome Sci
Publisher Biomed Central
Date 2023 Nov 23
PMID 37993861
Authors
Affiliations
Soon will be listed here.
Abstract

Osteoarthritis (OA) is the second-commonest arthritis, but pathogenic and regulatory mechanisms underlying OA remain incompletely understood. Here, we aimed to identify the mechanisms associated with microRNA-1 (miR-1) treatment of OA in rodent OA models using a proteomic approach. First, N = 18 Sprague Dawley (SD) rats underwent sham surgery (n = 6) or ACL transection (n = 12), followed at an interval of one week by randomization of the ACL transection group to intra-articular administration of either 50 µL placebo (control group) or miR-1 agomir, a mimic of endogenous miR-1 (experimental group). After allowing for eight weeks of remodeling, articular cartilage tissue was harvested and immunohistochemically stained for the presence of MMP-13. Second, N = 30 Col2a1-cre-ERT2 /GFPf1/fl -RFP-miR-1 transgenic mice were randomized to intra-articular administration of either placebo (control group, N = 15) or tamoxifen, an inducer of miR-1 expression (experimental group, N = 15), before undergoing surgical disruption of the medial meniscus (DMM) after an interval of five days. After allowing for eight weeks of remodeling, articular cartilage tissue was harvested and underwent differential proteomic analysis. Specifically, tandem mass tagging (TMT) quantitative proteomic analysis was employed to identify inter-group differentially-expressed proteins (DEP), and selected DEPs were validated using real-time quantitative polymerase chain reaction (RT-qPCR) technology. Immunohistochemically-detected MMP-13 expression was significantly lower in the experimental rat group, and proteomic analyses of mouse tissue homogenate demonstrated that of 3526 identified proteins, 345 were differentially expressed (relative up- and down-regulation) in the experimental group. Proteins Fn1, P4ha1, P4ha2, Acan, F2, Col3a1, Fga, Rps29, Rpl34, and Fgg were the *top ten most-connected proteins, implying that miR-1 may regulate an expression network involving these proteins. Of these ten proteins, three were selected for further validation by RT-qPCR: the transcript of Fn1, known to be associated with OA, exhibited relative upregulation in the experimental group, whereas the transcripts of P4ha1 and Acan exhibited relative downregulation. These proteins may thus represent key miR-1 targets during OA-regulatory mechanisms, and may provide additional insights regarding therapeutic mechanisms of miR-1 in context of OA.

Citing Articles

P4HA1: an important target for treating fibrosis related diseases and cancer.

Yang X, Zhang D, Li M, Shao Y, Zhang X, Xue Y Front Pharmacol. 2024; 15:1493420.

PMID: 39568592 PMC: 11576223. DOI: 10.3389/fphar.2024.1493420.

References
1.
Callahan L, Ambrose K, Albright A, Altpeter M, Golightly Y, Huffman K . Public Health Interventions for Osteoarthritis - updates on the Osteoarthritis Action Alliance's efforts to address the 2010 OA Public Health Agenda Recommendations. Clin Exp Rheumatol. 2019; 37 Suppl 120(5):31-39. View

2.
Shi Y, Ding Y, Li G, Wang L, Osman R, Sun J . Discovery of Novel Biomarkers for Diagnosing and Predicting the Progression of Multiple Sclerosis Using TMT-Based Quantitative Proteomics. Front Immunol. 2021; 12:700031. PMC: 8417809. DOI: 10.3389/fimmu.2021.700031. View

3.
Wang L, Zeng N, Yan Z, Li J, Ni G . Post-traumatic osteoarthritis following ACL injury. Arthritis Res Ther. 2020; 22(1):57. PMC: 7092615. DOI: 10.1186/s13075-020-02156-5. View

4.
Tolonen J, Salo A, Finnila M, Aro E, Karjalainen E, Ronkainen V . Reduced Bone Mass in Collagen Prolyl 4-Hydroxylase ; Compound Mutant Mice. JBMR Plus. 2022; 6(6):e10630. PMC: 9189910. DOI: 10.1002/jbm4.10630. View

5.
Rahmati M, Nalesso G, Mobasheri A, Mozafari M . Aging and osteoarthritis: Central role of the extracellular matrix. Ageing Res Rev. 2017; 40:20-30. DOI: 10.1016/j.arr.2017.07.004. View