Literature DB >> 28168678

Lipidomics in the Study of Hypertension in Metabolic Syndrome.

Hemant Kulkarni1, Manju Mamtani2, John Blangero2, Joanne E Curran2.   

Abstract

PURPOSE OF REVIEW: The entire gamut of changes in the lipid profile that precede, predict, and correlate with hypertension in metabolic syndrome is unknown. RECENT
FINDINGS: The power, resolution, and accuracy of lipidomic assay technologies have brought us to the threshold of another information explosion. Understanding of hypertension and its pathophysiology especially within the setting of metabolic syndrome has been greatly improved by recent lipidomic studies. Hypertension in metabolic syndrome differs from other forms of hypertension, and recent studies have highlighted this difference in many interesting ways. Mounting evidence points towards a derangement of the sphingolipid pathway that may trigger the precursor clinical conditions of hypertension as well as hypertension itself. In this review, we summarize the available published literature in this field and propose a unifying hypothesis based on the published evidence. Recent studies have created substantial interest and advances in the understanding of hypertension in metabolic syndrome. Studies that directly test these concepts within a lipidomic framework are urgently needed.

Entities:  

Keywords:  Hypertension; Lipidomics; Metabolic syndrome; Sphingolipids

Mesh:

Substances:

Year:  2017        PMID: 28168678     DOI: 10.1007/s11906-017-0705-6

Source DB:  PubMed          Journal:  Curr Hypertens Rep        ISSN: 1522-6417            Impact factor:   5.369


  65 in total

1.  High-fructose and high-fat feeding correspondingly lead to the development of lysoPC-associated apoptotic cardiomyopathy and adrenergic signaling-related cardiac hypertrophy.

Authors:  Jiung-Pang Huang; Mei-Ling Cheng; Chao-Hung Wang; Ming-Shi Shiao; Jan-Kan Chen; Li-Man Hung
Journal:  Int J Cardiol       Date:  2016-04-13       Impact factor: 4.164

2.  The lipid profile of brown adipose tissue is sex-specific in mice.

Authors:  Miriam Hoene; Jia Li; Hans-Ulrich Häring; Cora Weigert; Guowang Xu; Rainer Lehmann
Journal:  Biochim Biophys Acta       Date:  2014-08-14

3.  The effects of simvastatin treatment on plasma lipid-related biomarkers in men with dyslipidaemia.

Authors:  Fabian Chen; Vic Maridakis; Edward A O'Neill; Brian K Hubbard; Alison Strack; Chan Beals; Gary A Herman; Peggy Wong
Journal:  Biomarkers       Date:  2011-03-21       Impact factor: 2.658

Review 4.  Lipidomics is providing new insight into the metabolic syndrome and its sequelae.

Authors:  Peter J Meikle; Michael J Christopher
Journal:  Curr Opin Lipidol       Date:  2011-06       Impact factor: 4.776

Review 5.  Metabolomics, Lipidomics and Pharmacometabolomics of Human Hypertension.

Authors:  Anthony Au; Kian-Kai Cheng; Loo Keat Wei
Journal:  Adv Exp Med Biol       Date:  2017       Impact factor: 2.622

Review 6.  Ultra-performance liquid chromatography-mass spectrometry as a sensitive and powerful technology in lipidomic applications.

Authors:  Ying-Yong Zhao; Shao-Ping Wu; Shuman Liu; Yongmin Zhang; Rui-Chao Lin
Journal:  Chem Biol Interact       Date:  2014-07-09       Impact factor: 5.192

7.  Human omental and subcutaneous adipose tissue exhibit specific lipidomic signatures.

Authors:  Mariona Jové; José María Moreno-Navarrete; Reinald Pamplona; Wifredo Ricart; Manuel Portero-Otín; José Manuel Fernández-Real
Journal:  FASEB J       Date:  2013-11-21       Impact factor: 5.191

8.  Detection of the abundance of diacylglycerol and triacylglycerol molecular species in cells using neutral loss mass spectrometry.

Authors:  Robert C Murphy; Patrick F James; Andrew M McAnoy; Jessica Krank; Eva Duchoslav; Robert M Barkley
Journal:  Anal Biochem       Date:  2007-03-18       Impact factor: 3.365

9.  Lipidomics analysis revealed the phospholipid compositional changes in muscle by chronic exercise and high-fat diet.

Authors:  Naoko Goto-Inoue; Kenichiro Yamada; Akiko Inagaki; Yasuro Furuichi; Shinya Ogino; Yasuko Manabe; Mitsutoshi Setou; Nobuharu L Fujii
Journal:  Sci Rep       Date:  2013-11-20       Impact factor: 4.379

10.  Intestine-targeted DGAT1 inhibition improves obesity and insulin resistance without skin aberrations in mice.

Authors:  Naoto Tsuda; Shin Kumadaki; Chika Higashi; Makoto Ozawa; Mikihiko Shinozaki; Yutaka Kato; Koutarou Hoshida; Satomi Kikuchi; Yoshihisa Nakano; Yoshihiro Ogawa; Shoji Furusako
Journal:  PLoS One       Date:  2014-11-18       Impact factor: 3.240

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  2 in total

1.  An exploratory analysis of comparative plasma metabolomic and lipidomic profiling in salt-sensitive and salt-resistant individuals from The Dietary Approaches to Stop Hypertension Sodium Trial.

Authors:  Parul Chaudhary; Elena Velkoska; Richard D Wainford
Journal:  J Hypertens       Date:  2021-10-01       Impact factor: 4.776

2.  Joint interaction effect of metabolic syndrome and obstructive sleep apnea on hypertension.

Authors:  Xiaolong Zhao; Huajun Xu; Jianyin Zou; Yingjun Qian; Hongliang Yi; Jian Guan; Shankai Yin
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-06-12       Impact factor: 3.738

  2 in total

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