Logo image
Metabolic phenotyping in venous disease: The need for standardization
Journal article   Peer reviewed

Metabolic phenotyping in venous disease: The need for standardization

S. Onida, M.K.H. Tan, M. Kafeza, R.T. Bergner, J. Shalhoub, E. Holmes and A.H. Davies
Journal of Proteome Research, Vol.18(11), pp.3809-3820
2019
url
Link to Published Version *Subscription may be requiredView

Abstract

Venous thromboembolism (VTE), chronic venous disease (CVD), and venous leg ulceration (VLU) are clinical manifestations of a poorly functioning venous system. Though common, much is unknown of the pathophysiology and progression of these conditions. Metabolic phenotyping has been employed to explore mechanistic pathways involved in venous disease. A systematic literature review was performed: full text, primary research articles on the applications of nuclear magnetic resonance spectroscopy (NMR) and mass spectrometry (MS) in human participants and animals were included for qualitative synthesis. Seventeen studies applying metabolic phenotyping to venous disease were identified: six on CVD, two on VLU, and nine on VTE; both animal (n = 6) and human (n = 10) experimental designs were reported, with one study including both. NMR, MS, and MS imaging were employed to characterize serum, plasma, urine, wound fluid, and tissue. Metabolites found to be upregulated in CVD included lipids, branched chain amino acids (BCAA), glutamate, taurine, lactate, and myo-inositol identified in vein tissue. Upregulated metabolites in VLU included lactate, BCAA, lysine, 3-hydroxybutyrate, and glutamate identified in wound fluid and ulcer biopsies. VTE cases were associated with reduced carnitine levels, upregulated aromatic amino acids, 3-hydroxybutyrate, BCAA, and lipids in plasma, serum, thrombus, and vein wall; kynurenine and tricarboxylic acid pathway dysfunction were reported. Future research should focus on targeted studies with internal and external validation.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Citation topics
2 Chemistry
2.211 Mass Spectrometry
2.211.990 Metabolomics
Web Of Science research areas
Biochemical Research Methods
ESI research areas
Biology & Biochemistry
Logo image