Literature DB >> 23241314

Lipidomic and metabolomic analyses reveal potential plasma biomarkers of early atheromatous plaque formation in hamsters.

Mariona Jové1, Victòria Ayala, Omar Ramírez-Núñez, José C E Serrano, Anna Cassanyé, Lluís Arola, Antoni Caimari, Josep M Del Bas, Anna Crescenti, Reinald Pamplona, Manuel Portero-Otín.   

Abstract

AIMS: Atherosclerosis is the main pathological process contributing to cardiovascular disease, with diet being the most important factor involved. Although the lipidome of atheromatous plaque has been studied previously, the use of comparative lipidomics and metabolomics in plasma in early atherogenesis could lead to the discovery of plasma biomarkers that allow not only disease prediction but also measurement of disease progression. METHODS AND
RESULTS: High-throughput techniques, such as liquid chromatography/mass spectrometry, allowed us to compare the circulating and aortic lipidome and plasma metabolome in order to look for new molecular targets involved in atherogenesis. To achieve this objective, we chose the hamster (Mesocricetus auratus) as the best small animal model for diet-induced early atherosclerosis, because its lipoprotein metabolism is similar to that of humans. The results revealed the existence of several, previously unreported, changes in lipid and amino-acid metabolism, the peroxisome proliferator-activated receptor γ pathway, and oxidative and endoplasmic reticulum stress, also involving cell senescence. Furthermore, as a proof of concept in the modelling of dietary influences in atherogenesis, we have measured the effect of a potential anti-atherogenic polyphenol extract on the reported pathways. Our results support a previously unknown role for taurocholic acid as a potential plasma biomarker of early atheromatous plaque formation.
CONCLUSION: The use of comparative liquid chromatography/mass spectrometry-based lipidomics and metabolomics allows the discovery of novel pathways in atherogenesis, as well as new potential plasma biomarkers, which could allow us to predict disease in its early stages and measure its progression.

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Year:  2012        PMID: 23241314     DOI: 10.1093/cvr/cvs368

Source DB:  PubMed          Journal:  Cardiovasc Res        ISSN: 0008-6363            Impact factor:   10.787


  20 in total

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2.  Serum metabolic signatures of subclinical atherosclerosis in patients with type 2 diabetes mellitus: a preliminary study.

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8.  Efficient gene targeting in golden Syrian hamsters by the CRISPR/Cas9 system.

Authors:  Zhiqiang Fan; Wei Li; Sang R Lee; Qinggang Meng; Bi Shi; Thomas D Bunch; Kenneth L White; Il-Keun Kong; Zhongde Wang
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9.  Alteration in metabolic signature and lipid metabolism in patients with angina pectoris and myocardial infarction.

Authors:  Ju Yeon Park; Sang-Hak Lee; Min-Jeong Shin; Geum-Sook Hwang
Journal:  PLoS One       Date:  2015-08-10       Impact factor: 3.240

10.  ProAlgaZyme subfraction improves the lipoprotein profile of hypercholesterolemic hamsters, while inhibiting production of betaine, carnitine, and choline metabolites.

Authors:  Andreea Geamanu; Arvind Goja; Nadia Saadat; Pramod Khosla; Smiti V Gupta
Journal:  Nutr Metab (Lond)       Date:  2013-08-27       Impact factor: 4.169

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