Abstract
Purpose: Pharmacological treatments usually show marked variation in treatment response. To maximize the desired therapeutic effect, and minimize overtreatment and potential adverse effects, it is important to carefully select patients who will most likely benefit from treatment. Lipidomics analysis has become a valuable technology for understanding patho-physiological mechanisms and may aid the identification of biomarkers of therapeutic responsiveness. Therefore, we aimed to explore the use of lipidomics for prediction of prednisolone treatment response in patients with inflammatory hand osteoarthritis.
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