Document Type
Article
Publication Date
6-15-2014
Publication Title
Analytical Biochemistry
Abstract
Gangliosides are a family of glycosphingolipids characterized by mono- or polysialic acid-containing oligosaccharides linked through 1,3- and 1,4-β glycosidic bonds with subtle differences in structure that are abundantly present in the central nervous systems of many living organisms. Their cellular surface expression and physiological malfunction are believed to be pathologically implicated in considerable neurological disorders, including Alzheimer and Parkinson diseases. Recently, studies have tentatively elucidated that mental retardation or physical stagnation deteriorates as the physiological profile of gangliosides becomes progressively and distinctively abnormal during the development of these typical neurodegenerative syndromes. In this work, a reverse-phase liquid chromatography/tandem mass spectrometry (LC/MS/MS) assay using standard addition calibration for determination of GM2, GM3, GD2, and GD3 in human plasma has been developed and validated. The analytes and internal standard were extracted from human plasma using a simple protein precipitation procedure. Then the samples were analyzed by reverse-phase ultra-performance liquid chromatography (UPLC)/MS/MS interfaced to mass spectrometry with electrospray ionization using a multiple reaction monitoring mode to obtain superior sensitivity and specificity. This assay was validated for extraction recovery, calibration linearity, precision, and accuracy. Our quick and sensitive method can be applied to monitor ganglioside levels in plasma from normal people and neurodegenerative patients.
Recommended Citation
Huang, Qianyang; Zhou, Xiang; Liu, Danting; Xin, Baozhong; Cechner, Karen; Wang, Heng; and Zhou, Aimin, "A New Liquid Chromatography/Tandem Mass Spectrometry Method for Quantification of Gangliosides in Human Plasma" (2014). Chemistry Faculty Publications. 375.
https://engagedscholarship.csuohio.edu/scichem_facpub/375
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
DOI
10.1016/j.ab.2014.03.014
Version
Postprint
Volume
455