Literature DB >> 25376488

Lipidomics applications for discovering biomarkers of diseases in clinical chemistry.

Ying-Yong Zhao1, Xian-long Cheng2, Rui-Chao Lin3.   

Abstract

Lipids are the fundamental components of biological membranes as well as the metabolites of organisms. Lipids play diverse and important roles in biologicals. The lipid imbalance is closely associated with numerous human lifestyle-related diseases, such as atherosclerosis, obesity, diabetes, and Alzheimer's disease. Lipidomics or lipid profiling is a system-based study of all lipids aiming at comprehensive analysis of lipids in the biological system. Lipidomics has been accepted as a lipid-related research tool in lipid biochemistry, clinical biomarker discovery, disease diagnosis, and in understanding disease pathology. Lipidomics will not only provide insights into the specific functions of lipid species in health and disease, but will also identify potential biomarkers for establishing preventive or therapeutic programs for human diseases. This review presents an overview of lipidomics followed by in-depth discussion of its application to the study of human diseases, including extraction methods of lipids, analytical technologies, data analysis, and clinical research in cancer, neuropsychiatric disease, cardiovascular disease, kidney disease, and respiratory disease. We describe the current status of the identification of metabolic biomarkers in different diseases. We also discuss the lipidomics for the future perspectives and their potential problems. The application of lipidomics in clinical studies may provide new insights into lipid profiling and pathophysiological mechanisms.

Entities:  

Keywords:  Clinical chemistry; Disease biomarker; Lipid profiling; Lipidomics; Mass spectrometry

Mesh:

Substances:

Year:  2014        PMID: 25376488     DOI: 10.1016/B978-0-12-800177-6.00001-3

Source DB:  PubMed          Journal:  Int Rev Cell Mol Biol        ISSN: 1937-6448            Impact factor:   6.813


  33 in total

1.  Lipid Profiling of In Vitro Cell Models of Adipogenic Differentiation: Relationships With Mouse Adipose Tissues.

Authors:  Lucy Liaw; Igor Prudovsky; Robert A Koza; Rea V Anunciado-Koza; Matthew E Siviski; Volkhard Lindner; Robert E Friesel; Clifford J Rosen; Paul R S Baker; Brigitte Simons; Calvin P H Vary
Journal:  J Cell Biochem       Date:  2016-03-16       Impact factor: 4.429

2.  Metabolomics Research Conducted by Nurse Scientists: A Systematic Scoping Review.

Authors:  Laura P Kimble; Sharon Leslie; Nicole Carlson
Journal:  Biol Res Nurs       Date:  2020-07-10       Impact factor: 2.522

3.  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

4.  Ultrahigh-Performance capillary liquid chromatography-mass spectrometry at 35 kpsi for separation of lipids.

Authors:  Matthew J Sorensen; Kelsey E Miller; James W Jorgenson; Robert T Kennedy
Journal:  J Chromatogr A       Date:  2019-09-26       Impact factor: 4.759

Review 5.  Obesity and Diabetic Kidney Disease: Role of Oxidant Stress and Redox Balance.

Authors:  Kumar Sharma
Journal:  Antioxid Redox Signal       Date:  2016-05-04       Impact factor: 8.401

6.  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 7.  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

8.  Distinct urinary lipid profile in children with focal segmental glomerulosclerosis.

Authors:  Elif Erkan; Xueheng Zhao; Kenneth Setchell; Prasad Devarajan
Journal:  Pediatr Nephrol       Date:  2015-11-04       Impact factor: 3.714

9.  Mass Spectrometry-Based Lipidomics Reveals Differential Changes in the Accumulated Lipid Classes in Chronic Kidney Disease.

Authors:  Lukasz Marczak; Jakub Idkowiak; Joanna Tracz; Maciej Stobiecki; Bartłomiej Perek; Katarzyna Kostka-Jeziorny; Andrzej Tykarski; Maria Wanic-Kossowska; Marcin Borowski; Marcin Osuch; Dorota Formanowicz; Magdalena Luczak
Journal:  Metabolites       Date:  2021-04-27

10.  Untargeted serum metabolomics and tryptophan metabolism profiling in type 2 diabetic patients with diabetic glomerulopathy.

Authors:  Fanliang Zhang; Ruixue Guo; Wen Cui; Li Wang; Jing Xiao; Jin Shang; Zhanzheng Zhao
Journal:  Ren Fail       Date:  2021-12       Impact factor: 2.606

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