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2022여름초록

제목

Targeted Quantitation of Glycolipids using UHPLC/MRM-MS

작성자
박지은

발표자 및 발표 내용

소속
충남대학교 분석과학기술대학원
발표구분
포스터발표
포스터발표
Medical/Pharmaceutical Science
Brief Oral Presentation 발표신청
신청자에 한함
Keyword
LC/MRM-MS
Absolute quantitation
Glycolipids
Glycolipid-related diseases
Neurological diseases

주저자

이름
Ji Eun Park
소속
Graduate School of Analytical Science and Technology, Chungnam National University
국가
Republic of Korea

공동저자

공동저자
이름
Myung Jin Oh
소속
Graduate School of Analytical Science and Technology, Chungnam National University
국가
Republic of Korea
이름
Nari Seo
소속
Graduate School of Analytical Science and Technology, Chungnam National University
국가
Republic of Korea
이름
Hyun Joo An
소속
Graduate School of Analytical Science and Technology, Chungnam National University
국가
Republic of Korea
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접수자

이름
Ji Eun Park
소속
Graduate School of Analytical Science and Technology, Chungnam National University
 Glycolipids enriched on cell membrane microdomains play significant roles in cell signaling and cell communication. Experimental evidence for quantitative changes of specific glycolipids in various neurological diseases such as Alzheimer's disease, Parkinson's disease, and epilepsy strongly supports the importance of glycolipids in disease pathogenesis and disease. Therefore, analytical methods for absolute quantitation of disease-related target glycolipids are essential for biomarker discovery and disease monitoring. However, glycolipids are amphiphilic substances consisting of a hydrophilic carbohydrate chain and a hydrophobic lipid moiety, which makes their separation and analysis extremely challenging. Here, we developed a highly sensitive and highly selective absolute quantitation platform based on reversed-phase LC/MRM-MS. First, the organic modifier content of the diluent was increased to improve the solubility of glycolipids, which directly affects data repeatability. We also optimized the ratio of isopropanol in the mobile phase solvent to enhance the instrument repeatability and minimize the increase of column pressure due to isopropanol. As a result, we could determine high sensitivity analysis at the femtomole level and achieve high repeatability within 8% of the CV. The calibration curve was quantitatively linear with a correlation coefficient (R2) greater than 0.99. This analytical method enables the detection of ng levels of glycolipids per μg of protein in brain tissue. Our glycolipid quantitation platform will be utilized with a high potential for diagnosis and monitoring of glycolipid-related diseases

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