Literature DB >> 19233743

Analytical strategies in lipidomics and applications in disease biomarker discovery.

Chunxiu Hu1, Rob van der Heijden, Mei Wang, Jan van der Greef, Thomas Hankemeier, Guowang Xu.   

Abstract

Lipidomics is a lipid-targeted metabolomics approach aiming at comprehensive analysis of lipids in biological systems. Recently, lipid profiling, or so-called lipidomics research, has captured increased attention due to the well-recognized roles of lipids in numerous human diseases to which lipid-associated disorders contribute, such as diabetes, obesity, atherosclerosis and Alzheimer's disease. Investigating lipid biochemistry using a lipidomics approach will not only provide insights into the specific roles of lipid molecular species in health and disease, but will also assist in identifying potential biomarkers for establishing preventive or therapeutic approaches for human health. Recent technological advancements in mass spectrometry and rapid improvements in chromatographic techniques have led to the rapid expansion of the lipidomics research field. In this review, emphasis is given to the recent advances in lipidomics technologies and their applications in disease biomarker discovery.

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Year:  2009        PMID: 19233743     DOI: 10.1016/j.jchromb.2009.01.038

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  43 in total

1.  Hierarchical clustering analysis of blood plasma lipidomics profiles from mono- and dizygotic twin families.

Authors:  Harmen H M Draisma; Theo H Reijmers; Jacqueline J Meulman; Jan van der Greef; Thomas Hankemeier; Dorret I Boomsma
Journal:  Eur J Hum Genet       Date:  2012-06-20       Impact factor: 4.246

2.  Separation and classification of lipids using differential ion mobility spectrometry.

Authors:  Alexandre A Shvartsburg; Giorgis Isaac; Nathalie Leveque; Richard D Smith; Thomas O Metz
Journal:  J Am Soc Mass Spectrom       Date:  2011-04-12       Impact factor: 3.109

Review 3.  Metabolomics and malaria biology.

Authors:  Viswanathan Lakshmanan; Kyu Y Rhee; Johanna P Daily
Journal:  Mol Biochem Parasitol       Date:  2010-10-21       Impact factor: 1.759

4.  Plasma concentrations of molecular lipid species predict long-term clinical outcome in coronary artery disease patients.

Authors:  Sharda Anroedh; Mika Hilvo; K Martijn Akkerhuis; Dimple Kauhanen; Kaisa Koistinen; Rohit Oemrawsingh; Patrick Serruys; Robert-Jan van Geuns; Eric Boersma; Reijo Laaksonen; Isabella Kardys
Journal:  J Lipid Res       Date:  2018-06-01       Impact factor: 5.922

5.  LC/MS characterization of rotenone induced cardiolipin oxidation in human lymphocytes: implications for mitochondrial dysfunction associated with Parkinson's disease.

Authors:  Yulia Y Tyurina; Daniel E Winnica; Valentina I Kapralova; Alexandr A Kapralov; Vladimir A Tyurin; Valerian E Kagan
Journal:  Mol Nutr Food Res       Date:  2013-05-03       Impact factor: 5.914

6.  LipidPioneer : A Comprehensive User-Generated Exact Mass Template for Lipidomics.

Authors:  Candice Z Ulmer; Jeremy P Koelmel; Jared M Ragland; Timothy J Garrett; John A Bowden
Journal:  J Am Soc Mass Spectrom       Date:  2017-01-10       Impact factor: 3.109

7.  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

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

Review 9.  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

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

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