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Development of GC-MS for targeted metabolomics for EARLY diagnosis of preeclampsia disease

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2022
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Abstract (EN)

Preeclampsia is a multisystem disease specific to human pregnancy with an unknown cause. It is characterized by increased systemic vascular resistance, increased platelet aggregation, activation of the coagulation system, and abnormal vascular response to localization associated with endothelial dysfunction. Metabolomics is the broad analysis of all metabolites in a biological system and is complementary to transcriptomic and proteomic analyzes as it provides a quantitative assessment of lower molecular weight analytes (˂1800 Da) in the system. In the thesis study, 2-hydroxy butyric acid, pyroglutamic acid, glutamic acid, 4-hydroxy glutamic acid, N-acetyl L-glutamic acid and N-carbamyl L-glutmic acid, which are thought to be differential in the early diagnosis of preeclampsia, were selected. The analyzes of these metabolites are 5% diphenyl 95% dimethylpolysiloxane (30 m × 0.25 mm, 0.25 μm) with capillary column at 60 oC (1 min), at 10 oC/min at 200 oC after 30 oC/min at 320 It was made by GC-MS method using helium as mobile phase, flow rate of 0.99 mL/min and myristic acid-d27 as internal standard, in the oven temperature program at oC (5 min). Developed method was validated by parameters of stability, selectivity, linearity, sensitivity, accuracy, precision, robustness and system suitability. The mean recovery was evaluated by applying the developed and validated method to blank plasma. Keywords: Preeclampsia metabolites, Gas Chromatography-Mass Spectrometry, Metabolomics

Author

Ayşe Kuş

How to Cite

Ayşe Kuş (Master Thesis). Development of GC-MS for targeted metabolomics for EARLY diagnosis of preeclampsia disease, 2022, Hacettepe University.

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