Actively Recruiting
A Clinical Approach to Validate the Biological Significance of LPC160 as a Biomarker in Fibromyalgia
Led by Kaohsiung Medical University Chung-Ho Memorial Hospital · Updated on 2025-06-26
245
Participants Needed
1
Research Sites
52 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Fibromyalgia is a common chronic pain disorder that causes widespread muscle pain along with symptoms like fatigue, sleep problems, cognitive issues, and anxiety or depression. This study evaluates fibromyalgia and related symptoms using tailored questionnaires and explores the biological role of a specific lipid, LPC160, which previous research suggests may be involved in fibromyalgia pain and could serve as a diagnostic biomarker. Adults with fibromyalgia meeting standard criteria and healthy adults without pain are enrolled over five years. Patients receive conventional treatments such as Pregabalin and Imipramine and undergo clinical follow-ups. The study uses questionnaires to assess pain, soreness, anxiety, depression, sleep quality, and stress at 2 and 4 weeks, alongside metabolomic and lipidomic tests at 3, 6, 9, and 12 months to investigate biological changes. Participants will attend interviews and complete multiple questionnaires to track symptom changes over time. Researchers will monitor biological markers in blood samples and assess questionnaire results to understand fibromyalgias pathophysiology better. The study runs through June 2027, aiming to validate the clinical significance of LPC160 as a biomarker for fibromyalgia.
CONDITIONS
Brief Title
Bio-significance of LPC16:0 in Fibromyalgia
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Clinical diagnosis of fibromyalgia
- Age between 18 and 70 years
You will not qualify if you...
- Systemic rheumatological or immune disorders such as lupus or inflammatory myositis
- Systemic use of corticosteroids
- Pregnancy
- Poorly controlled chronic diseases
- Malignancies present or history of cancer
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here