Literature DB >> 26394722

Recent advances in lipidomics for disease research.

Li Yang1, Min Li1, Yabing Shan1,2, Sensen Shen1, Yu Bai1, Huwei Liu1.   

Abstract

Lipidomics is an important branch of metabolomics, which aims at the detailed analysis of lipid species and their multiple roles in the living system. In recent years, the development of various analytical methods for effective identification and characterization of lipids has greatly promoted the process of lipidomics. Meanwhile, as many diseases demonstrate a remarkable alteration in lipid profiles compared with that of healthy people, lipidomics has been extensively introduced to disease research. The comprehensive lipid profiling provides a chance to discover novel biomarkers for specific disease. In addition, it plays a crucial role in the study of lipid metabolism, which could illuminate the pathogenesis of diseases. In this review, after brief discussion of analytical methods for lipidomics in clinical research, we focus on the recent advances of lipidomics related to four types of diseases, including cancer, atherosclerosis, diabetes mellitus, and Alzheimer's disease.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Biomarkers; Clinical diagnosis; Lipidomics; Metabolism

Mesh:

Substances:

Year:  2015        PMID: 26394722     DOI: 10.1002/jssc.201500899

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  19 in total

1.  Unsaturation Elements and Other Modifications of Phospholipids in Bacteria: New Insight from Ultraviolet Photodissociation Mass Spectrometry.

Authors:  Molly S Blevins; Virginia K James; Carmen M Herrera; Alexandria B Purcell; M Stephen Trent; Jennifer S Brodbelt
Journal:  Anal Chem       Date:  2020-06-16       Impact factor: 6.986

2.  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

3.  Omics, big data and machine learning as tools to propel understanding of biological mechanisms and to discover novel diagnostics and therapeutics.

Authors:  Nikolaos Perakakis; Alireza Yazdani; George E Karniadakis; Christos Mantzoros
Journal:  Metabolism       Date:  2018-08-08       Impact factor: 8.694

4.  A reversed phase ultra-high-performance liquid chromatography-data independent mass spectrometry method for the rapid identification of mycobacterial lipids.

Authors:  Isin T Sakallioglu; Amith S Maroli; Aline De Lima Leite; Robert Powers
Journal:  J Chromatogr A       Date:  2021-12-08       Impact factor: 4.759

Review 5.  Targeting fatty acid metabolism for fibrotic disorders.

Authors:  Seonghwan Hwang; Ki Wung Chung
Journal:  Arch Pharm Res       Date:  2021-10-18       Impact factor: 4.946

Review 6.  Lipidomics: Techniques, Applications, and Outcomes Related to Biomedical Sciences.

Authors:  Kui Yang; Xianlin Han
Journal:  Trends Biochem Sci       Date:  2016-09-20       Impact factor: 13.807

Review 7.  Clinical assessment of hepatic de novo lipogenesis in non-alcoholic fatty liver disease.

Authors:  Sabina Paglialunga; Clayton A Dehn
Journal:  Lipids Health Dis       Date:  2016-09-17       Impact factor: 3.876

8.  Harmonizing lipidomics: NIST interlaboratory comparison exercise for lipidomics using SRM 1950-Metabolites in Frozen Human Plasma.

Authors:  John A Bowden; Alan Heckert; Candice Z Ulmer; Christina M Jones; Jeremy P Koelmel; Laila Abdullah; Linda Ahonen; Yazen Alnouti; Aaron M Armando; John M Asara; Takeshi Bamba; John R Barr; Jonas Bergquist; Christoph H Borchers; Joost Brandsma; Susanne B Breitkopf; Tomas Cajka; Amaury Cazenave-Gassiot; Antonio Checa; Michelle A Cinel; Romain A Colas; Serge Cremers; Edward A Dennis; James E Evans; Alexander Fauland; Oliver Fiehn; Michael S Gardner; Timothy J Garrett; Katherine H Gotlinger; Jun Han; Yingying Huang; Aveline Huipeng Neo; Tuulia Hyötyläinen; Yoshihiro Izumi; Hongfeng Jiang; Houli Jiang; Jiang Jiang; Maureen Kachman; Reiko Kiyonami; Kristaps Klavins; Christian Klose; Harald C Köfeler; Johan Kolmert; Therese Koal; Grielof Koster; Zsuzsanna Kuklenyik; Irwin J Kurland; Michael Leadley; Karen Lin; Krishna Rao Maddipati; Danielle McDougall; Peter J Meikle; Natalie A Mellett; Cian Monnin; M Arthur Moseley; Renu Nandakumar; Matej Oresic; Rainey Patterson; David Peake; Jason S Pierce; Martin Post; Anthony D Postle; Rebecca Pugh; Yunping Qiu; Oswald Quehenberger; Parsram Ramrup; Jon Rees; Barbara Rembiesa; Denis Reynaud; Mary R Roth; Susanne Sales; Kai Schuhmann; Michal Laniado Schwartzman; Charles N Serhan; Andrej Shevchenko; Stephen E Somerville; Lisa St John-Williams; Michal A Surma; Hiroaki Takeda; Rhishikesh Thakare; J Will Thompson; Federico Torta; Alexander Triebl; Martin Trötzmüller; S J Kumari Ubhayasekera; Dajana Vuckovic; Jacquelyn M Weir; Ruth Welti; Markus R Wenk; Craig E Wheelock; Libin Yao; Min Yuan; Xueqing Heather Zhao; Senlin Zhou
Journal:  J Lipid Res       Date:  2017-10-06       Impact factor: 5.922

Review 9.  Lipidomic analysis of epidermal lipids: a tool to predict progression of inflammatory skin disease in humans.

Authors:  Shan Li; Gitali Ganguli-Indra; Arup K Indra
Journal:  Expert Rev Proteomics       Date:  2016-05       Impact factor: 3.940

10.  Quantitative analysis of N-acylphosphatidylethanolamine molecular species in rat brain using solid-phase extraction combined with reversed-phase chromatography and tandem mass spectrometry.

Authors:  Alexander Triebl; Sabrina Weissengruber; Martin Trötzmüller; Ernst Lankmayr; Harald Köfeler
Journal:  J Sep Sci       Date:  2016-06-07       Impact factor: 3.645

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