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Identification of Coding Regions in Prokaryotic DNA Sequences Using Bayesian Classification Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Blood Plasma Trophic Growth Factors Predict the Outcome in Patients with Acute Ischemic Stroke

Authors : Valeriia Roslavtceva, Evgeniy Bushmelev, Pavel Astanin, Tatyana Zabrodskaya, Alla Salmina, Semen Prokopenko, Vera Laptenkova, Michael Sadovsky

Published in: Bioinformatics and Biomedical Engineering

Publisher: Springer International Publishing

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Abstract

Stroke is an acute disorder of CNS being the leading factor of mortality and disability of the population. Dynamic assessment of trophic growth factors expression is a promising tool to predict the outcome of ischemic stroke. We investigated the concentration dynamics of the brain-derived neurotrophic factor (BDNF) and vascular endothelial growth factor (VEGF) in blood plasma of patients with acute ischemic stroke. 56 patients took part in the study. Venous blood was collected from all patients on the first, 7th and 21st day of their hospital stay. BDNF and VEGF plasma concentrations were measured using ELISA. Our study shows, that not single, but serial dynamic measures of BDNF plasma concentrations in the acute period of ischemic stroke have a prognostic significance. Increasing of the BDNF plasma concentration on day 7 in comparison to the concentration on day 1 was significantly associated with a better clinical outcome of acute ischemic stroke. Extremely high VEGF plasma concentrations (more than 260 pg/mL) on days 1 and 7 from the ischemic stroke onset were significantly associated with a worse clinical outcome on day 21 and a less favorable rehabilitation prognosis. Serial measurement of plasma concentrations of trophic growth factors in patients with ischemic stroke presents a rather simple, reliable and minimally invasive method of dynamic assessment of the clinical course of acute ischemic stroke and early outcome prediction.

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Metadata
Title
Blood Plasma Trophic Growth Factors Predict the Outcome in Patients with Acute Ischemic Stroke
Authors
Valeriia Roslavtceva
Evgeniy Bushmelev
Pavel Astanin
Tatyana Zabrodskaya
Alla Salmina
Semen Prokopenko
Vera Laptenkova
Michael Sadovsky
Copyright Year
2020
Book
Bioinformatics and Biomedical Engineering

Print ISBN: 978-3-030-45384-8

Electronic ISBN: 978-3-030-45385-5

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-45385-5_3

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