Literature DB >> 18951641

Lipidomics: a new window to biomedical frontiers.

Matej Oresic1, Virve A Hänninen, Antonio Vidal-Puig.   

Abstract

Lipids are a highly diverse class of molecules with crucial roles in cellular energy storage, structure and signaling. Lipid homeostasis is fundamental to maintain health, and lipid defects are central to the pathogenesis of important and devastating diseases. Newly emerging advances have facilitated the development of so-called lipidomics technologies and offer an opportunity to elucidate the mechanisms leading to disease. Furthermore, these advances also provide the tools to unravel the complexity of the 'allostatic forces' that allow maintenance of normal cellular/tissue phenotypes through the application of bioenergetically inefficient adaptive mechanisms. An alternative strategy is to focus on tissues with limited allostatic capacity, such as the eye, that could be used as readouts of metabolic stress over time. Identification of these allostatic mechanisms and pathological 'scares' might provide a window to unknown pathogenic mechanisms, as well as facilitate identification of early biomarkers of disease.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18951641     DOI: 10.1016/j.tibtech.2008.09.001

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  49 in total

1.  Human plasma lipidome is pleiotropically associated with cardiovascular risk factors and death.

Authors:  Claire Bellis; Hemant Kulkarni; Manju Mamtani; Jack W Kent; Gerard Wong; Jacquelyn M Weir; Christopher K Barlow; Vincent Diego; Marcio Almeida; Thomas D Dyer; Harald H H Göring; Laura Almasy; Michael C Mahaney; Anthony G Comuzzie; Sarah Williams-Blangero; Peter J Meikle; John Blangero; Joanne E Curran
Journal:  Circ Cardiovasc Genet       Date:  2014-11-02

Review 2.  Lipidomics as a tool for the study of lipoprotein metabolism.

Authors:  Anatol Kontush; M John Chapman
Journal:  Curr Atheroscler Rep       Date:  2010-05       Impact factor: 5.113

3.  LipidFinder: A computational workflow for discovery of lipids identifies eicosanoid-phosphoinositides in platelets.

Authors:  Anne O'Connor; Christopher J Brasher; David A Slatter; Sven W Meckelmann; Jade I Hawksworth; Stuart M Allen; Valerie B O'Donnell
Journal:  JCI Insight       Date:  2017-04-06

Review 4.  Shotgun lipidomics on high resolution mass spectrometers.

Authors:  Dominik Schwudke; Kai Schuhmann; Ronny Herzog; Stefan R Bornstein; Andrej Shevchenko
Journal:  Cold Spring Harb Perspect Biol       Date:  2011-09-01       Impact factor: 10.005

5.  n-3 PUFAs improve erythrocyte fatty acid profile in patients with small AAA: a randomized controlled trial.

Authors:  Lara T Meital; Mark T Windsor; Rebecca M L Ramirez Jewell; Peter Young; Karl Schulze; Rebecca Magee; Jill O'Donnell; Pankaj Jha; Maria Perissiou; Jonathan Golledge; Tom G Bailey; Peter Brooks; Christopher D Askew; Fraser D Russell
Journal:  J Lipid Res       Date:  2019-03-26       Impact factor: 5.922

6.  Ozone-induced dissociation on a traveling wave high-resolution mass spectrometer for determination of double-bond position in lipids.

Authors:  Ngoc Vu; Jeffery Brown; Kevin Giles; Qibin Zhang
Journal:  Rapid Commun Mass Spectrom       Date:  2017-09-15       Impact factor: 2.419

Review 7.  Mass spectrometry based cellular phosphoinositides profiling and phospholipid analysis: a brief review.

Authors:  Youngjun Kim; Selina Rahman Shanta; Li-Hua Zhou; Kwang Pyo Kim
Journal:  Exp Mol Med       Date:  2010-01-31       Impact factor: 8.718

8.  Maldi-tof fingerprinting of seminal plasma lipids in the study of human male infertility.

Authors:  Mariana Camargo; Paula Intasqui; Camila Bruna de Lima; Daniela Antunes Montani; Marcílio Nichi; Eduardo Jorge Pilau; Fabio Cesar Gozzo; Edson Guimarães Lo Turco; Ricardo Pimenta Bertolla
Journal:  Lipids       Date:  2014-06-17       Impact factor: 1.880

9.  Serum saturated fatty acids containing triacylglycerols are better markers of insulin resistance than total serum triacylglycerol concentrations.

Authors:  A Kotronen; V R Velagapudi; L Yetukuri; J Westerbacka; R Bergholm; K Ekroos; J Makkonen; M-R Taskinen; M Oresic; H Yki-Järvinen
Journal:  Diabetologia       Date:  2009-02-13       Impact factor: 10.122

10.  Metabolomics applied to diabetes research: moving from information to knowledge.

Authors:  James R Bain; Robert D Stevens; Brett R Wenner; Olga Ilkayeva; Deborah M Muoio; Christopher B Newgard
Journal:  Diabetes       Date:  2009-11       Impact factor: 9.461

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.