Evidence map›Paper›PMID 42016523›Full record

ArticleObesity medicine2025

Exploring uric acid as a biomarker in lipedema and lymphedema: A metabolomics study with prospective validation.

Fahad Alkhalfan, Naseer Sangwan, Anu Aggarwal, Alliefair Scalise, José O Alemán, Bhairavi Rajasekar, Douglas Joseph, Kimberly Peterson, Annelise Hamer, Mariya Ali and 2 more

Abstract read
In one paragraph

Article in Obesity medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Fahad AlkhalfanHeart Vascular and Thoracic Institute, Department of Cardiovascular Medicine, Section of Vascular Medicine, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Naseer SangwanDepartment of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Anu AggarwalDepartment of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Alliefair ScaliseHeart Vascular and Thoracic Institute, Department of Cardiovascular Medicine, Section of Vascular Medicine, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
José O AlemánDivision of Endocrinology, Department of Medicine, Diabetes and Metabolism, NYU Grossman School of Medicine, New York, NY, USA.
Bhairavi RajasekarHeart Vascular and Thoracic Institute, Department of Cardiovascular Medicine, Section of Vascular Medicine, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Douglas JosephHeart Vascular and Thoracic Institute, Department of Cardiovascular Medicine, Section of Vascular Medicine, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Kimberly PetersonDepartment of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Annelise HamerDepartment of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Mariya AliDepartment of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
John R BartholomewHeart Vascular and Thoracic Institute, Department of Cardiovascular Medicine, Section of Vascular Medicine, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Scott J CameronHeart Vascular and Thoracic Institute, Department of Cardiovascular Medicine, Section of Vascular Medicine, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.

Funding

Platelets as Biosensors and Mediators of Aortic Aneurysm GrowthR01HL158801 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI CAMERON, SCOTT JAMES · 2021 to 2025
$2.5M
Metabolic Flux Analysis of Obesity-Associated Inflammation in Weight LossK08DK117064 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ALEMAN, JOSE ORLANDO · 2019 to 2022
$823k
Platelet ERK5 regulates myocardial infarct expansionK08HL128856 · NHLBI · UNIVERSITY OF ROCHESTER · PI CAMERON, SCOTT JAMES · 2016 to 2020
$775k
NHLBI NIH HHS K08 HL128856NHLBI NIH HHS R01 HL158801NIDDK NIH HHS K08 DK117064
6 · The paper itself

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.

Indexed as

LipedemaLymphedemaMetabolomicsUric acid

Identifiers

PMID42016523
PMCPMC13095168

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.