Literature DB >> 22316558

Lipidomics.

Anthony D Postle1.   

Abstract

PURPOSE OF REVIEW: Lipidomics characterizes the composition of intact lipid molecular species in biological systems and the field has been driven by some spectacular advances in mass spectrometry instrumentation and applications. This review will highlight these advances and outline their recent application to address clinical issues. RECENT
FINDINGS: This review first identifies recent advances in lipid detection and analysis by a variety of mass spectrometry techniques, then reviews specific application including stable isotope labelling of lipids, lipid mass spectrometry imaging, data analysis and bioinformatics, and finally presents examples of the application of lipidomics to selected disease states.
SUMMARY: Lipidomics so far has been principally concerned with identifying novel methodologies, but recent advances demonstrating applications in diabetes, neurodegenerative diseases, cystic fibrosis and other respiratory diseases clearly indicate the potential usefulness of lipidomics both to generate biomarkers of disease and to probe signalling and metabolic processes.

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Year:  2012        PMID: 22316558     DOI: 10.1097/MCO.0b013e32834fb003

Source DB:  PubMed          Journal:  Curr Opin Clin Nutr Metab Care        ISSN: 1363-1950            Impact factor:   4.294


  18 in total

Review 1.  Proteomic approaches to predict bioavailability of fatty acids and their influence on cancer and chronic disease prevention.

Authors:  Baukje de Roos; Donato F Romagnolo
Journal:  J Nutr       Date:  2012-05-30       Impact factor: 4.798

Review 2.  Mass spectrometry strategies for clinical metabolomics and lipidomics in psychiatry, neurology, and neuro-oncology.

Authors:  Paul L Wood
Journal:  Neuropsychopharmacology       Date:  2013-07-11       Impact factor: 7.853

3.  Understanding mechanisms of oocyte development by follicular fluid lipidomics.

Authors:  Daniela Antunes Montani; Daniela Paes de Almeida Ferreira Braga; Edson Borges; Mariana Camargo; Fernanda Bertuccez Cordeiro; Eduardo Jorge Pilau; Fábio Cesar Gozzo; Renato Fraietta; Edson Guimarães Lo Turco
Journal:  J Assist Reprod Genet       Date:  2019-04-23       Impact factor: 3.412

Review 4.  Multiomics Analysis-Based Biomarkers in Diagnosis of Polycystic Ovary Syndrome.

Authors:  Shikha Rani; Piyush Chandna
Journal:  Reprod Sci       Date:  2022-01-27       Impact factor: 3.060

5.  Systems-Level Lipid Analysis Methodologies for Qualitative and Quantitative Investigation of Lipid Signaling Events During Wound Healing.

Authors:  Dayanjan S Wijesinghe; Charles E Chalfant
Journal:  Adv Wound Care (New Rochelle)       Date:  2013-11       Impact factor: 4.730

Review 6.  A vision for better health: mass spectrometry imaging for clinical diagnostics.

Authors:  Hui Ye; Erin Gemperline; Lingjun Li
Journal:  Clin Chim Acta       Date:  2012-10-15       Impact factor: 3.786

Review 7.  Relative quantification of biomarkers using mixed-isotope labeling coupled with MS.

Authors:  Heidi M Chapman; Katherine L Schutt; Emily M Dieter; Shane M Lamos
Journal:  Bioanalysis       Date:  2012-10       Impact factor: 2.681

8.  Modulation of the lipidomic profile due to a lipid challenge and fitness level: a postprandial study.

Authors:  Ciara Morris; Colm M O'Grada; Miriam F Ryan; Michael J Gibney; Helen M Roche; Eileen R Gibney; Lorraine Brennan
Journal:  Lipids Health Dis       Date:  2015-07-01       Impact factor: 3.876

9.  Lipidomic analysis of plasma samples from women with polycystic ovary syndrome.

Authors:  Zeina Haoula; Srinivasarao Ravipati; Dov J Stekel; Catharine A Ortori; Charlie Hodgman; Clare Daykin; Nick Raine-Fenning; David A Barrett; William Atiomo
Journal:  Metabolomics       Date:  2014-08-17       Impact factor: 4.290

10.  NMR spectroscopy of macrophages loaded with native, oxidized or enzymatically degraded lipoproteins.

Authors:  Paul Ramm Sander; Markus Peer; Margot Grandl; Ulrich Bogdahn; Gerd Schmitz; Hans Robert Kalbitzer
Journal:  PLoS One       Date:  2013-02-15       Impact factor: 3.240

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