Impact of Collagen Supplements on Dermal Collagen in Plastic and Bariatric Surgery Patients

Launched by GENERAL COMMITTEE OF TEACHING HOSPITALS AND INSTITUTES, EGYPT · Jan 16, 2025

Keywords

ClinConnect Summary

This clinical trial is looking at whether taking collagen supplements can improve the collagen content in the skin of patients who are undergoing surgeries like abdominoplasty (tummy tuck) or bariatric surgery (weight loss surgery). The study will involve patients who are between 18 and 75 years old and will randomly divide them into two groups: one will receive collagen supplements, and the other will receive a placebo (a sugar pill with no active ingredients). Skin samples will be taken before and during the surgery to see if those taking collagen have more collagen in their skin compared to those who did not take the supplement.

To be eligible for this trial, participants should be healthy adults within the specified age range who have had metabolic bariatric surgery. However, individuals with allergies to collagen, chronic skin conditions, autoimmune diseases, or those currently taking collagen or certain medications will not be able to participate. It's important to know that the study is not yet recruiting participants, so those interested will need to wait until it starts. Overall, this trial aims to better understand the potential benefits of collagen supplements for skin health in surgical patients.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Patients aged 18-75 years after metabolic bariatric surgery.
• • Patients will be randomly selected from the hospital's electronic patient system.
• Exclusion Criteria:
• * 1. Allergies or Sensitivities:
• • Patients with known allergies or hypersensitivity to collagen or any components of the collagen supplements (e.g., bovine, marine sources).
• 2. Chronic Skin Conditions:
• • Participants with skin disorders that could influence collagen production or degradation (e.g., psoriasis, eczema, scleroderma) should be excluded as these conditions might interfere with the study's outcomes.
• 3. Autoimmune or Connective Tissue Diseases:
• • Patients with autoimmune diseases (e.g., lupus, rheumatoid arthritis) or connective tissue disorders (e.g., Ehlers-Danlos syndrome) might exhibit abnormal collagen metabolism and could confound the study's results.
• 4. Use of Collagen or Nutritional Supplements:
• • Participants currently taking collagen supplements or other nutritional supplements (e.g., vitamin C, glucosamine, chondroitin) that could affect collagen synthesis or turnover should be excluded. A washout period may be required for those who have recently used such supplements.
• 5. Hormonal Treatments or Medications:
• • Patients on treatments that could affect collagen metabolism (e.g., corticosteroids, hormone replacement therapy, anabolic steroids) should be excluded, as these could alter the body's collagen production or degradation.
• 6. Pregnancy or Lactation:
• • Pregnant or breastfeeding women should be excluded due to the physiological changes during pregnancy and lactation that could affect collagen metabolism.
• 7. Major Surgeries or Trauma:
• • Recent major surgeries or significant trauma within the last 6-12 months, especially those involving connective tissue repair, as these could alter collagen levels independently of supplementation.
• 8. Smoking:
• • Smokers or individuals who have recently quit smoking, as smoking is known to reduce collagen synthesis and impair skin healing.
• 9. Chronic Illnesses:
• • Patients with chronic illnesses such as diabetes, liver disease, or kidney disease, which could impair collagen metabolism or affect skin health.
• 10. Uncontrolled Metabolic Disorders:
• • Participants with uncontrolled metabolic disorders (e.g., severe obesity, untreated hyperlipidemia) may have altered collagen metabolism and should be excluded unless specifically studied.
• 11. Participation in Other Clinical Trials:
• • Patients currently enrolled in other clinical trials involving supplements, medications, or procedures that could interfere with the study outcomes should be excluded.