Acids causing metabolic acidosis in patients with severe malaria: Application of liquid chromatography-mass spectrometry to clinical chemistry
International Conference and Exhibition on Advances in HPLC & Chromatography Techniques
March 14-15, 2016 London, UK

Natthida Sriboonvorakul

Mahidol University, Thailand

Posters & Accepted Abstracts: Pharm Anal Acta

Abstract:

Acidosis is an important cause of mortality in severe falciparum malaria. A simultaneous bio-analytical method for assessment of plasma eight small organic acids potentially contributing to acidosis in severe malaria was developed and validated. Highthroughput strong anion exchange solid-phase extraction in 96-well plate format was used for sample preparation. Hydrophilic interaction liquid chromatography (HILIC) coupled to negative mass spectroscopy was utilized for separation, detection and quantification. Eight possible small organic acids; L-lactic acid (LA),α-hydroxybutyric acid (aHBA), β-hydroxybutyric acid (bHBA), p-hydroxyphenyllactic acid (pHPLA), malonic acid (MA), methylmalonic acid (MMA), ethylmalonic acid (EMA) and α-ketoglutaric acid (aKGA) were analyzed simultaneously using a ZIC-HILIC column. This method was validated according to U S Food and Drug Administration guidelines with additional validation procedures for endogenous substances. LC-MS acid concentration profiles in relation to clinical parameters of three groups; severe malaria, uncomplicated malaria and healthy were analyzed by pattern recognition analysis to classify and predict unknown samples. The results of principal component analysis (PCA) showed that four acids (LA, aHBA, bHBA and pHPLA) have more significant discriminant power than other four, thus they all considered. In addition, PCA result showed that healthy could be classified from malaria completely with variance of three first PCs (73.11, 15.41 and 7.84%, respectively). Linear discriminant analysis (LDA) model indicated excellent sensitivity and specificity for identification of malaria and healthy. However, the result indicated fair sensitivity (65%) and good specificity (91%) for identification of severe and uncomplicated. This could be useful tool for understanding pathogenesis of acidosis in severe malaria patients.

Biography :

Email: natthida.srn@mahidol.ac.th