Literature DB >> 26653434

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

Beatriz García-Fontana1, Sonia Morales-Santana2, Caridad Díaz Navarro3, Pedro Rozas-Moreno4, Olga Genilloud5, Francisca Vicente Pérez6, José Pérez del Palacio7, Mnuel Muñoz-Torres8.   

Abstract

Type 2 diabetes mellitus (T2DM) patients have an increased risk of cardiovascular disease (CVD) that represents one of the main causes of mortality in this population. The knowledge of the underlie factors involved in the development of CVD and the discovery of new biomarkers of the disease could help to early identification of high-risk patients. Using liquid chromatography coupled to high resolution mass spectrometry (LC-HRMS) we analyzed the serum metabolomic profile of 30 subject distributed according three groups: (i) T2DM patients with CVD; (ii) T2DM patients without CVD; (iii) non-diabetic subjects as controls (C) in order to identify potential biomarkers of the CVD related to T2DM. A partial least squares discriminant analysis (PLS-DA) and one-way analysis of variance (ANOVA) were applied to identify differential metabolites between different groups. Four glycerophospholipids were further identified as potential biomarkers of CVD in T2DM patients. Specifically, a reduction in phosphatidylcholine, lysophosphatidylcholine and lysophosphatidylethanolamine (LPE) serum levels were found in T2DM patients compared to controls, presenting the patients with CVD the lowest serum levels of these metabolites. These results show a generalized reduction of circulating phospholipids species in T2DM patients which is more pronounced in those with CVD providing information of the pathways involved in the pathogenesis and progression of CVD associated to T2DM.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiovascular disease; Metabolomic; Phospholipids; Type 2 diabetes mellitus

Mesh:

Year:  2015        PMID: 26653434     DOI: 10.1016/j.talanta.2015.10.070

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  17 in total

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

Authors:  Kelli M Sas; Jiahe Lin; Thekkelnaycke M Rajendiran; Tanu Soni; Viji Nair; Lucy M Hinder; Hosagrahar V Jagadish; Thomas W Gardner; Steven F Abcouwer; Frank C Brosius; Eva L Feldman; Matthias Kretzler; George Michailidis; Subramaniam Pennathur
Journal:  J Lipid Res       Date:  2017-12-13       Impact factor: 5.922

2.  Plasma Lipidomic Profiling and Risk of Type 2 Diabetes in the PREDIMED Trial.

Authors:  Cristina Razquin; Estefanía Toledo; Clary B Clish; Miguel Ruiz-Canela; Courtney Dennis; Dolores Corella; Christopher Papandreou; Emilio Ros; Ramon Estruch; Marta Guasch-Ferré; Enrique Gómez-Gracia; Montserrat Fitó; Edward Yu; José Lapetra; Dong Wang; Dora Romaguera; Liming Liang; Angel Alonso-Gómez; Amy Deik; Mónica Bullo; Lluis Serra-Majem; Jordi Salas-Salvadó; Frank B Hu; Miguel A Martínez-González
Journal:  Diabetes Care       Date:  2018-10-16       Impact factor: 19.112

3.  Circulating Palmitoyl Sphingomyelin Is Associated With Cardiovascular Disease in Individuals With Type 2 Diabetes: Findings From the China Da Qing Diabetes Study.

Authors:  Yanyan Chen; Hongmei Jia; Xin Qian; Jinping Wang; Meng Yu; Qiuhong Gong; Yali An; Hui Li; Sidong Li; Na Shi; Zhongmei Zou; Guangwei Li
Journal:  Diabetes Care       Date:  2022-03-01       Impact factor: 19.112

4.  Untargeted Metabolomics by Liquid Chromatography-Mass Spectrometry in Biomedical Research.

Authors:  Caridad Díaz; Carmen González-Olmedo
Journal:  Methods Mol Biol       Date:  2023

5.  Metabolic map of osthole and its effect on lipids.

Authors:  Qi Zhao; Xin-Mei Li; Hong-Ning Liu; Frank J Gonzalez; Fei Li
Journal:  Xenobiotica       Date:  2017-04-03       Impact factor: 1.908

Review 6.  Proteomics and metabolomics in ageing research: from biomarkers to systems biology.

Authors:  Jessica M Hoffman; Yang Lyu; Scott D Pletcher; Daniel E L Promislow
Journal:  Essays Biochem       Date:  2017-07-11       Impact factor: 7.258

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

Authors:  Jianhong Lu; Buxing Chen; Tingting Chen; Shuyuan Guo; Xinli Xue; Qun Chen; Mingming Zhao; Lin Xia; Zhengjiang Zhu; Lemin Zheng; Huiyong Yin
Journal:  Redox Biol       Date:  2017-04-26       Impact factor: 11.799

Review 8.  A review of the effects of Berberis vulgaris and its major component, berberine, in metabolic syndrome.

Authors:  Jamshid Tabeshpour; Mohsen Imenshahidi; Hossein Hosseinzadeh
Journal:  Iran J Basic Med Sci       Date:  2017-05       Impact factor: 2.699

9.  Targeted metabolomic analysis of plasma metabolites in patients with coronary heart disease in southern China.

Authors:  Zhixiong Zhong; Jing Liu; Qifeng Zhang; Wei Zhong; Bin Li; Cunren Li; Zhidong Liu; Min Yang; Pingsen Zhao
Journal:  Medicine (Baltimore)       Date:  2019-02       Impact factor: 1.817

10.  Non-Targeted Metabolomic Analysis Reveals Serum Phospholipid Alterations in Patients with Early Stages of Diabetic Foot Ulcer.

Authors:  Ignacio I Álvarez-Rodríguez; Eduardo Castaño-Tostado; David G García-Gutiérrez; Rosalía Reynoso-Camacho; Juana E Elton-Puente; Alicia Barajas-Pozos; Iza F Pérez-Ramírez
Journal:  Biomark Insights       Date:  2020-09-09
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