Metabolomic profile related to cardiovascular disease in patients with type 2 diabetes mellitus: A pilot study

García-Fontana, Beatriz; Morales-Santana, Sonia; Navarro, Caridad Díaz; Rozas-Moreno, Pedro; Genilloud, Olga; Pérez, Francisca Vicente; Palacio, José Pérez del; Muñóz-Torres, Manuel

doi:10.1016/j.talanta.2015.10.070

Cited by 46 publications

(37 citation statements)

References 41 publications

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“…Emerging studies demonstrated altered metabolite profiles that reflected the onset and progression of CHD [24], [25]. Some of metabolic biomarkers identified through metabolomics have a potential to provide diagnostic and predictive values of CHDs [26], [27], [28], [29], [30]. However, substantial amounts of validation remain to be carried out before these putative “biomarkers” can be applied for CHD diagnosis due to the inherent caveats of untargeted metabolomics [31].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive metabolomics identified lipid peroxidation as a prominent feature in human plasma of patients with coronary heart diseases

Chen

et al. 2017

Redox Biology

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Coronary heart disease (CHD) is a complex human disease associated with inflammation and oxidative stress. The underlying mechanisms and diagnostic biomarkers for the different types of CHD remain poorly defined. Metabolomics has been increasingly recognized as an enabling technique with the potential to identify key metabolomic features in an attempt to understand the pathophysiology and differentiate different stages of CHD. We performed comprehensive metabolomic analysis in human plasma from 28 human subjects with stable angina (SA), myocardial infarction (MI), and healthy control (HC). Subsequent analysis demonstrated a uniquely altered metabolic profile in these CHD: a total of 18, 37 and 36 differential metabolites were identified to distinguish SA from HC, MI from SA, and MI from HC groups respectively. Among these metabolites, glycerophospholipid (GPL) metabolism emerged as the most significantly disturbed pathway. Next, we used a targeted metabolomic approach to systematically analyze GPL, oxidized phospholipid (oxPL), and downstream metabolites derived from polyunsaturated fatty acids (PUFAs), such as arachidonic acid and linoleic acid. Surprisingly, lipids associated with lipid peroxidation (LPO) pathways including oxidized PL and isoprostanes, isomers of prostaglandins, were significantly elevated in plasma of MI patients comparing to HC and SA, consistent with the notion that oxidative stress-induced LPO is a prominent feature in CHD. Our studies using the state-of-the-art metabolomics help to understand the underlying biological mechanisms involved in the pathogenesis of CHD; LPO metabolites may serve as potential biomarkers to differentiation MI from SA and HC.

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Section: Introductionmentioning

confidence: 99%

Comprehensive metabolomics identified lipid peroxidation as a prominent feature in human plasma of patients with coronary heart diseases

Chen

et al. 2017

Redox Biology

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“…can characterize hundreds of unique lipid identities, these get condensed to a handful (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) when only considering lipid class. Furthermore, individual lipids are underrepresented in databases, such as Kyoto Encyclopedia of Genes and Genomes, which are frequently used in systems analysis and pathway mapping, limiting the potential of using multi-omics datasets for understanding disease processes (2).…”

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confidence: 99%

“…Recently, lipidomics has revealed abnormalities in other lipid classes in diabetes along with intra-class variation (4)(5)(6)(7)(8)(9). Expansion of lipid coverage has improved diabetes risk prediction (4,6,9) and increased research on the impact of other lipid classes on diabetes and diabetic complications (10)(11)(12). Three devastating complications of diabetes are diabetic kidney disease (DKD), diabetic peripheral neuropathy (DPN), and diabetic retinopathy (DR), and most diabetic patients develop at least one of these complications in their lifetime.…”

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confidence: 99%

Shared and distinct lipid-lipid interactions in plasma and affected tissues in a diabetic mouse model

Sas

Lin

Rajendiran

et al. 2018

Journal of Lipid Research

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Lipids are ubiquitous metabolites with diverse functions; abnormalities in lipid metabolism appear to be related to complications from multiple diseases, including type 2 diabetes. Through technological advances, the entire lipidome has been characterized and researchers now need computational approaches to better understand lipid network perturbations in different diseases. Using a mouse model of type 2 diabetes with microvascular complications, we examined lipid levels in plasma and in renal, neural, and retinal tissues to identify shared and distinct lipid abnormalities. We used correlation analysis to construct interaction networks in each tissue, to associate changes in lipids with changes in enzymes of lipid metabolism, and to identify overlap of coregulated lipid subclasses between plasma and each tissue to define subclasses of plasma lipids to use as surrogates of tissue lipid metabolism. Lipid metabolism alterations were mostly tissue specific in the kidney, nerve, and retina; no lipid changes correlated between the plasma and all three tissue types. However, alterations in diacylglycerol and in lipids containing arachidonic acid, an inflammatory mediator, were shared among the tissue types, and the highly saturated cholesterol esters were similarly coregulated between plasma and each tissue type in the diabetic mouse. Our results identified several patterns of altered lipid metabolism that may help to identify pathogenic alterations in different tissues and could be used as biomarkers in future research into diabetic microvascular tissue damage.

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“…With specific reference to this chapter, we report some studies of metabolomics that have recently focused on biomarkers predicting CVD in patients with type 2 diabetes. Garca-Fontana et al (2016) used LC coupled to HRMS to search for potential biomarkers of CVD (namely coronary heart disease, ischemic stroke, or ischemic peripheral artery disease) among males with T2DM and CVD, by comparing them with a population of T2DM males without CVD and another group of healthy males. The identification and quantification of candidate biomarkers was performed through an elemental formula estimation, based on accurate mass measurements in MS and MS/MS conditions, and then followed by online stepwise database search for confirmation of final candidates.…”

Section: Metabolomics Studies For the Detection Of Biomarkers Predmentioning

confidence: 99%

The role of mass spectrometry in studies of glycation processes and diabetes management

DaRonco

Crotti

Agostini

et al. 2018

Mass Spectrometry Reviews

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In the last decade, mass spectrometry has been widely employed in the study of diabetes. This was mainly due to the development of new, highly sensitive, and specific methods representing powerful tools to go deep into the biochemical and pathogenetic processes typical of the disease. The aim of this review is to give a panorama of the scientifically valid results obtained in this contest. The recent studies on glycation processes, in particular those devoted to the mechanism of production and to the reactivity of advanced glycation end products (AGEs, AGE peptides, glyoxal, methylglyoxal, dicarbonyl compounds) allowed to obtain a different view on short and long term complications of diabetes. These results have been employed in the research of effective markers and mass spectrometry represented a precious tool allowing the monitoring of diabetic nephropathy, cardiovascular complications, and gestational diabetes. The same approaches have been employed to monitor the non‐insulinic diabetes pharmacological treatments, as well as in the discovery and characterization of antidiabetic agents from natural products. © 2018 Wiley Periodicals, Inc. Mass Spec Rev 38:112–146, 2019.

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Metabolomic profile related to cardiovascular disease in patients with type 2 diabetes mellitus: A pilot study

Cited by 46 publications

References 41 publications

Comprehensive metabolomics identified lipid peroxidation as a prominent feature in human plasma of patients with coronary heart diseases

Comprehensive metabolomics identified lipid peroxidation as a prominent feature in human plasma of patients with coronary heart diseases

Shared and distinct lipid-lipid interactions in plasma and affected tissues in a diabetic mouse model

The role of mass spectrometry in studies of glycation processes and diabetes management

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