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Metabolic Profiling Reveals Changes in Serum Predictive of Venous Ulcer Healing
Journal article   Open access   Peer reviewed

Metabolic Profiling Reveals Changes in Serum Predictive of Venous Ulcer Healing

R. T. Bergner, S. Onida, R. Velineni, K. Spagou, M. S. Gohel, M. Bouschbacher, S. Bohbot, J. Shalhoub, E. Holmes and A. H. Davies
Annals of surgery, Vol.277(2), pp.e467-e474
2023
PMID: 35916649
url
https://journals.lww.com/annalsofsurgery/Abstract/9000/Metabolic_Profiling_Reveals_Changes_in_Serum.93544.aspxView
Published (Version of Record) Open

Abstract

mass spectrometry metabolic profiling metabolomics NMR spectroscopy Original venous leg ulceration VLU wound healing
Objective: The aim of this study was to identify potential biomarkers predictive of healing or failure to heal in a population with venous leg ulceration. Summary Background Data: Venous leg ulceration presents important physical, psychological, social and financial burdens. Compression therapy is the main treatment, but it can be painful and time-consuming, with significant recurrence rates. The identification of a reliable biochemical signature with the ability to identify nonhealing ulcers has important translational applications for disease prognostication, personalized health care and the development of novel therapies. Methods: Twenty-eight patients were assessed at baseline and at 20 weeks. Untargeted metabolic profiling was performed on urine, serum, and ulcer fluid, using mass spectrometry and nuclear magnetic resonance spectroscopy. Results: A differential metabolic phenotype was identified in healing (n = 15) compared to nonhealing (n = 13) venous leg ulcer patients. Analysis of the assigned metabolites found ceramide and carnitine metabolism to be relevant pathways. In this pilot study, only serum biofluids could differentiate between healing and nonhealing patients. The ratio of carnitine to ceramide was able to differentiate between healing phenotypes with 100% sensitivity, 79% specificity, and 91% accuracy. Conclusions: This study reports a metabolic signature predictive of healing in venous leg ulceration and presents potential translational applications for disease prognostication and development of targeted therapies.

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.197 Molecular & Cell Biology - Mitochondria
1.197.1196 Inborn Metabolic Errors
Web Of Science research areas
Surgery
ESI research areas
Clinical Medicine
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