Gene Expression Profiles of Knee Osteoarthritis Patients and Healthy Controls: A Microarray Analysis Study

Chandra, Vishal; Ashraf, Tanveer; Yadav, Pramod; Raghuvanshi, M.

doi:10.2139/ssrn.4489650

Cited by 1 publication

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“…The fractions were collected and reapplied to a Sephadex G-200 column equilibrated with Tris-Cl buffer (50 mM and pH 7.4) and NaCl (100 mM) at a 45 ml/h flow rate. The eluted proteins were precipitated with ammonium sulfate, dissolved in a buffer with protease inhibitors, and used for SDS-PAGE and 2D-PAGE [13][14][15][16]. For the first dimension in 2D-PAGE, the protein concentration was determined by the Bradford method.…”

Section: Synovial Fluid Protein Analysismentioning

confidence: 99%

Synovial Fluid Proteomics and Serum Metabolomics Reveal Molecular and Metabolic Changes in Osteoarthritis

Yadav

2024

CRCT

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Background: Osteoarthritis (OA) is a common joint disorder with a complex and multifactorial pathogenesis. Proteomics analysis using two-dimensional gel electrophoresis (2DE) and mass spectrometry (MS) enables high-throughput identification of differentially expressed proteins related to OA. However, the etiology, pathophysiology, and early diagnostic markers of OA are still poorly understood. Methods: Synovial fluid protein biomarkers were compared between OA patients and healthy controls. It was fractionated using DEAE cellulose and Sephadex G-200 columns, followed by SDS‒PAGE and 2D-PAGE for visualization and identification. Mass spectrometry and Mascot were used for protein analysis, and serum metabolite profiles were also investigated using 1D 1H CPMG NMR spectra. Multivariate data analysis, including PCA and PLS-DA, was performed to detect metabolic differences between groups. Results: Proteomics analysis revealed differential expression of synovial fluid proteins, such as serine protease inhibitors, complement components, and apolipoproteins, which may be involved in inflammation and cartilage breakdown. Additionally, serum metabolite profiles differed significantly between OA patients and controls, involving amino acid, lipid, glucose, and energy metabolism. The pathway analysis indicated disruption of the metabolic pathways associated with these metabolites. Conclusions: This study provides insights into the molecular and metabolic changes in OA. Protein biomarkers and serum metabolite alterations enhance the understanding of OA pathogenesis and offer potential opportunities for early diagnosis and disease management. Further validation and translation of these findings into clinical applications are needed for improved OA detection and intervention strategies.

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Section: Synovial Fluid Protein Analysismentioning

confidence: 99%

Synovial Fluid Proteomics and Serum Metabolomics Reveal Molecular and Metabolic Changes in Osteoarthritis

Yadav

2024

CRCT

View full text Add to dashboard Cite

show abstract

Gene Expression Profiles of Knee Osteoarthritis Patients and Healthy Controls: A Microarray Analysis Study

Cited by 1 publication

References 0 publications

Synovial Fluid Proteomics and Serum Metabolomics Reveal Molecular and Metabolic Changes in Osteoarthritis

Synovial Fluid Proteomics and Serum Metabolomics Reveal Molecular and Metabolic Changes in Osteoarthritis

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