Fahad Alkhalfan , Naseer Sangwan , Anu Aggarwal , Alliefair Scalise , José O. Alemán , Bhairavi Rajasekar , Douglas Joseph , Kimberly Peterson , Annelise Hamer , Mariya Ali , John R. Bartholomew , Scott J. Cameron
{"title":"Exploring uric acid as a biomarker in lipedema and lymphedema: A metabolomics study with prospective validation","authors":"Fahad Alkhalfan , Naseer Sangwan , Anu Aggarwal , Alliefair Scalise , José O. Alemán , Bhairavi Rajasekar , Douglas Joseph , Kimberly Peterson , Annelise Hamer , Mariya Ali , John R. Bartholomew , Scott J. Cameron","doi":"10.1016/j.obmed.2025.100618","DOIUrl":null,"url":null,"abstract":"<div><h3>Aims</h3><div>Lipedema is a condition often mistaken for other causes of limb swelling including lymphedema and obesity. Lipedema may have a unique metabolic profile. Interrogation of the metabolome is a strategy that could reveal unique biomarkers to distinguish lipedema from lymphedema and obesity.</div></div><div><h3>Methods</h3><div>Unbiased metabolomics was utilized to examine 38 BMI-matched overweight patients compared with patients with lipedema, lymphedema, and lipolymphedema. Machine learning identified biomarkers to distinguish diseases, and further examined in a validation cohort of 198 patients with each disorders. Adjustments were made for baseline clinical and demographic variables.</div></div><div><h3>Results</h3><div>Plasma metabolomics firstly revealed uric acid as a biomarker that performs well to distinguish between phenotypically similar diseases in patients with elevated BMI. In a validation cohort of 64 patients with lipedema, uric acid (5.05 mg/dL) was compared with 64 patients with lymphedema (5.4 mg/dl), and 70 overweight patients without these conditions (4.6 mg/dL, p < 0.05). Uric acid-to-cystatin c ratio distinguished between all three groups (Lipedema: 5.2; Lymphedema: 6.3; overweight: 4.0, p < 0.01); however, significance was lost after adjustment for renal function.</div></div><div><h3>Conclusion</h3><div>Metabolomic analysis revealed uric acid may differentiate between lipedema, lymphedema, lipolymphedema and obese individuals without those conditions. In a validation cohort, while uric acid was higher in lipedema and lymphedema, uric acid adjusted by cystatin c clearance revealed uric acid to be a less useful marker to distinguish lipedema from lymphedema in the context of renal insufficiency.</div></div>","PeriodicalId":37876,"journal":{"name":"Obesity Medicine","volume":"55 ","pages":"Article 100618"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Obesity Medicine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451847625000387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Aims
Lipedema is a condition often mistaken for other causes of limb swelling including lymphedema and obesity. Lipedema may have a unique metabolic profile. Interrogation of the metabolome is a strategy that could reveal unique biomarkers to distinguish lipedema from lymphedema and obesity.
Methods
Unbiased metabolomics was utilized to examine 38 BMI-matched overweight patients compared with patients with lipedema, lymphedema, and lipolymphedema. Machine learning identified biomarkers to distinguish diseases, and further examined in a validation cohort of 198 patients with each disorders. Adjustments were made for baseline clinical and demographic variables.
Results
Plasma metabolomics firstly revealed uric acid as a biomarker that performs well to distinguish between phenotypically similar diseases in patients with elevated BMI. In a validation cohort of 64 patients with lipedema, uric acid (5.05 mg/dL) was compared with 64 patients with lymphedema (5.4 mg/dl), and 70 overweight patients without these conditions (4.6 mg/dL, p < 0.05). Uric acid-to-cystatin c ratio distinguished between all three groups (Lipedema: 5.2; Lymphedema: 6.3; overweight: 4.0, p < 0.01); however, significance was lost after adjustment for renal function.
Conclusion
Metabolomic analysis revealed uric acid may differentiate between lipedema, lymphedema, lipolymphedema and obese individuals without those conditions. In a validation cohort, while uric acid was higher in lipedema and lymphedema, uric acid adjusted by cystatin c clearance revealed uric acid to be a less useful marker to distinguish lipedema from lymphedema in the context of renal insufficiency.
Obesity MedicineMedicine-Public Health, Environmental and Occupational Health
CiteScore
5.50
自引率
0.00%
发文量
74
审稿时长
40 days
期刊介绍:
The official journal of the Shanghai Diabetes Institute Obesity is a disease of increasing global prevalence with serious effects on both the individual and society. Obesity Medicine focusses on health and disease, relating to the very broad spectrum of research in and impacting on humans. It is an interdisciplinary journal that addresses mechanisms of disease, epidemiology and co-morbidities. Obesity Medicine encompasses medical, societal, socioeconomic as well as preventive aspects of obesity and is aimed at researchers, practitioners and educators alike.