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Metabolite signatures of diabetes with cardiovascular disease: a pilot investigation
Authors:Lavanya Reddivari,Bishwa R. Sapkota,Apoorva Rudraraju,Yundi Liang,Christopher Aston,Evgeny Sidorov,Jairam K. P. Vanamala,Dharambir K. Sanghera
Affiliation:1.Department of Plant Science,Penn State University,University Park,USA;2.Department of Pediatrics, College of Medicine,University of Oklahoma Health Sciences Center,Oklahoma City,USA;3.Harold Hamm Diabetes Center,University of Oklahoma Health Sciences Center,Oklahoma City,USA;4.Oklahoma Center for Neuroscience,University of Oklahoma Health Sciences Center,Oklahoma City,USA;5.Department of Neurology,University of Oklahoma Health Sciences Center,Oklahoma City,USA;6.Department of Food Science,Penn State University,University Park,USA;7.Center for Molecular Immunology and Infectious Diseases,Penn State University,University Park,USA;8.Department of Pharmaceutical Sciences,University of Oklahoma Health Sciences Center,Oklahoma City,USA
Abstract:

Introduction

Type 2 diabetes (T2D) is an independent risk factor in the development of cardiovascular disease. However, there are significant limitations in the detection of the metabolic disturbances in hyperglycemia that lead to vascular dysfunction.

Objectives

The goals of the study were: (i) to identify circulating metabolites discriminating T2D and normoglycemia, and (ii) to assess phenotypic correlations of identified metabolites with other cardiometabolic risk traits (CMTs).

Methods

We have generated global and targeted metabolomic profiles using AB Sciex TripleTOF 5600 and Thermo Scientific Q Exactive Plus using serum samples of patients and healthy controls from a Punjabi population from India.

Results

In global profiling, we identified eight unknown molecules that currently do not match to any spectra in public databases. Additionally, serum levels of pyroglutamate, imidazole-4-acetate, tyramine-O-sulphate and 2,3-diphosphoglycerate were significantly elevated (2–5 fold) and betaine-aldehyde was reduced (fourfold) in patients. In targeted screening of amino acids and sugars, increased concentrations of serine, inositol, and threonine strongly correlated with T2D in both genders, while N-acetyl-l-alanine was reduced (58 fold) in men and glutamine was increased (fourfold) in women. Using random forest and ROC (AUC) analyses, we further cross-validated the predictive abilities of these molecules. Inositol, serine and threonine were among the top informative biomarkers in both genders while N-acetyl-l-alanine was highly confined to men.

Conclusions

Our study has identified several metabolites whose concentrations were altered in T2D. Although further study is needed in larger datasets, the identified metabolites (unknown or known) point towards shared etiological pathways underlie diabetes and vascular disease which can be targeted for potential therapeutics or biomarkers discovery.
Keywords:
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