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Distinguishing neurocysticercosis epilepsy from epilepsy of unknown etiology using a minimal serum mass profiling platform

Authors :
Douglas A. Drevets
Josephine J. Manoj
Jay S. Hanas
Michael P. Anderson
James R. Hocker
Govindan Ramajayam
Vedantam Rajshekhar
Hélène Carabin
V. Prabhakaran
Anna Oommen
Source :
Experimental Parasitology. 192:98-107
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

Neurocysticercosis is associated with epilepsy in pig-raising communities with poor sanitation. Current internationally recognized diagnostic guidelines for neurocysticercosis rely on brain imaging, a technology that is frequently not available or not accessible in areas endemic for neurocysticercosis. Minimally invasive and low-cost aids for diagnosing neurocysticercosis epilepsy could improve treatment of neurocysticercosis. The goal of this study was to test the extent to which patients with neurocysticercosis epilepsy, epilepsy of unknown etiology, idiopathic headaches and among different types of neurocysticercosis lesions could be distinguished from each other based on serum mass profiling. For this, we collected sera from patients with neurocysticercosis-associated epilepsy, epilepsy of unknown etiology, recovered neurocysticercosis, and idiopathic headaches then performed binary group comparisons among them using electrospray ionization mass spectrometry. A leave one [serum sample] out cross validation procedure was employed to analyze spectral data. Sera from neurocysticercosis patients was distinguished from epilepsy of unknown etiology patients with a p -value of 10 −28 . This distinction was lost when samples were randomized to either group ( p -value = 0.22). Similarly, binary comparisons of patients with neurocysticercosis who has different types of lesions showed that different forms of this disease were also distinguishable from one another. These results suggest neurocysticercosis epilepsy can be distinguished from epilepsy of unknown etiology based on biomolecular differences in sera detected by mass profiling.

Details

ISSN :
00144894
Volume :
192
Database :
OpenAIRE
Journal :
Experimental Parasitology
Accession number :
edsair.doi.dedup.....10c0c010e74946d65a48a5208cbedfaf
Full Text :
https://doi.org/10.1016/j.exppara.2018.07.015