Affiliation:
1. Department of Physiology, Michigan State University, East Lansing, MI
2. Department of Chemistry, Michigan State University, East Lansing, MI
3. Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI
Abstract
An automated tandem mass spectrometry—based analysis using precursor ion and neutral loss scans in a triple quadrupole (QqQ) mass spectrometer has been used to identify and quantify changes in the abundances of glycerophospholipids extracted from retina and erythrocytes in a rat streptozotocin model of type I diabetes, 6 and 36 weeks after the induction of diabetes, compared with age-matched nondiabetic controls. The utility of an “internal standard” method compared with an “internal standard free” method for quantification of differences in the abundances of specific lipid ions was evaluated in both retina and erythrocyte lipid extracts. In retina, equivalent results were obtained by using the internal standard and internal standard free methods for quantification. In erythrocytes, the two methods of analysis yielded significantly different results, suggesting that factors intrinsic to particular sample types may influence the outcome of label-free lipidome quantification approaches. Overall increases (∼25–35%) in the abundances of major retina glycerophospholipid classes were demonstrated in rats at 6 weeks of diabetes, relative to control animals. However, at 36 weeks of diabetes, subsequent overall decreases in retina glycerophosphatidylcholine (GPCho) and glycerophosphatidylethanolamine (GPEtn) abundances of 16% and 33%, respectively, were observed. Additionally, retina and erythrocyte GPCho lipids at both 6 and 36 weeks of diabetes exhibited increased incorporation of linoleic acid(18:2n6) and a decrease in docosahexaenoic acid (DHA(22:6n3)) content. Finally, an approximately fivefold increase in the abundances of specific glycated GPEtn (Amadori-GPEtn) lipids were observed in the retina of 36-week diabetic rats, with a corresponding 1.6-fold increase of Amadori-GPEtn lipids in diabetic erythrocytes.
Subject
Medical Laboratory Technology,Computer Science Applications
Cited by
11 articles.
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