Dyslipidemia in osteoarthritis: A study combining bibliometric analysis and retrospective data mining

Area of Science:

• Biomedical research
• Metabolic disorders
• Rheumatology

Background:

• Osteoarthritis (OA) is a prevalent chronic arthritis, yet the influence of lipid metabolism on its progression remains incompletely understood.
• Emerging evidence suggests a potential link between metabolic factors and OA pathogenesis, necessitating further investigation.

Purpose of the Study:

• To evaluate the utility of lipid metabolism markers as novel biomarkers for assessing OA disease activity.
• To analyze the correlation between lipid profiles, inflammatory markers, and OA disease severity.

Main Methods:

• Bibliometric analysis of OA and lipid metabolism literature.
• Correlation analysis of lipid profiles (total cholesterol, TG, HDL-C, LDL-C) with inflammatory markers (hs-CRP, ESR) and OA disease activity (VAS).
• Logistic regression modeling to identify independent predictors of OA disease activity.

Main Results:

• Bibliometric analysis revealed significant research focus on inflammation, lipid metabolism, and pain in OA.
• OA patients exhibited elevated levels of inflammation markers (ESR, hs-CRP) and lipid indicators (total cholesterol, TG, HDL-C).
• HDL-C, ESR, and TG were identified as independent factors influencing OA-VAS scores, indicating their role in disease activity.

Conclusions:

• Lipid metabolism plays a significant role in osteoarthritis, with its markers serving as crucial indicators of disease activity.
• Inflammation and lipid metabolism markers are independently associated with osteoarthritis pain and severity.
• Further research into lipid metabolism in OA can lead to improved diagnostic and therapeutic strategies.