Plasma Biomarkers and Identification of Resilient Metabolic Disruptions in Patients With Venous Thromboembolism Using a Metabolic Systems Approach

Author:

Fraser Karl123ORCID,Roy Nicole C.12345ORCID,Goumidi Louisa6,Verdu Alexandre7,Suchon Pierre67,Leal-Valentim Felipe8ORCID,Trégouët David-Alexandre8,Morange Pierre-Emmanuel69,Martin Jean-Charles610ORCID

Affiliation:

1. Food Nutrition and Health, AgResearch Grasslands, Palmerston North, New Zealand (K.F., N.C.R.).

2. High-Value Nutrition National Science Challenge, Auckland, New Zealand (K.F., N.C.R.).

3. Riddet Institute, Massey University, New Zealand (K.F., N.C.R.).

4. Liggins Institute, University of Auckland, New Zealand Paris, France (N.C.R.).

5. Department of Human Nutrition, University of Otago, Dunedin, New Zealand (N.C.R.).

6. C2VN, INRAE (Institut national de recherche pour l'agriculture, l'alimentation et l'environnement), INSERM (L.G., P.S., P.-E.M., J.-C.M.), Aix-Marseille University, France.

7. Bruker Daltonics, Marne la Vallée, France (A.V., P.S.).

8. INSERM U1219, Bordeaux Population Health Research Center, University of Bordeaux, France (F.L.-V., D.-A.T.).

9. APHM, France (P.-E.M.).

10. BIOMET (J.-C.M.), Aix-Marseille University, France.

Abstract

Objective: Deep vein thrombosis and pulmonary embolism referred as venous thromboembolism (VTE) are a common cause of morbidity and mortality. Plasma from healthy controls or individuals who have experienced a VTE were analyzed using metabolomics to characterize biomarkers and metabolic systems of patients with VTE. Approach and Results: Polar metabolite and lipidomic profiles from plasma collected 3 months after an incident VTE were obtained using liquid chromatography mass spectrometry. Fasting-state plasma samples from 42 patients with VTE and 42 healthy controls were measured. Plasma metabolomic profiling identified 512 metabolites forming 62 biological clusters. Multivariate analysis revealed a panel of 21 metabolites altogether capable of predicting VTE status with an area under the curve of 0.92 ( P =0.00174, selectivity=0.857, sensitivity=0.971). Multiblock systems analysis revealed 25 of the 62 functional biological groups as significantly affected in the VTE group ( P <0.05 to control). Complementary correlation network analysis of the dysregulated functions highlighted a subset of the lipidome composed mainly of n-3 long-chain polyunsaturated fatty acids within the predominant triglycerides as a potential regulator of the post-VTE event biological response, possibly controlling oxidative and inflammatory defence systems, and metabolic disorder associated dysregulations. Of interest was microbiota metabolites including trimethylamine N-oxide that remained associated to post incident VTE patients, highlighting a possible involvement of gut microbiota on VTE risk and relapse. Conclusions: These findings show promise for the elucidation of underlying mechanisms and the design of a diagnostic test to assess the likely efficacy of clinical care in patients with VTE.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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