Literature DB >> 31735441

Detection of serum soluble HLA-G levels in patients with acute ischemic stroke: A pilot study.

Enrico Fainardi1, Daria Bortolotti2, Massimiliano Castellazzi3, Ilaria Casetta4, Tiziana Bellini5, Roberta Rizzo2.   

Abstract

The aim of this study was to investigate the potential role of soluble Human Leukocyte Antigen-G (sHLA-G) molecules as biomarkers predicting outcome in acute ischemic stroke (AIS). Serum levels of total sHLA-G (sHLA-G1/HLA-G5) and its soluble isoforms sHLA-G1 and HLA-G5/G6 were measured by enzyme-linked immunosorbent assay (ELISA) in 92 AIS patients and healthy donors (HD). Incidence of hemorrhagic transformation (HT), size of final infarct volume (FIV) and clinical outcome at 3 months were recorded in AIS patients. Detectable serum levels of sHLA-G1/HLA-G5, HLA-G5/G6 and sHLA-G1 were present in a small proportion of AIS patients (26.1%, 17.4% and 16.3%, respectively) and HD (12.5%, 10.7% and 10.7%, respectively) and were more elevated in AIS patients without HT than in those with HT (p < 0.01; p < 0.05; p < 0.01, respectively). HT was less frequent (p < 0.01) in AIS patients with measurable serum concentrations of sHLA-G1/HLA-G5 and HLA-G5/G6. Serum levels of sHLA-G1/HLA-G5 and sHLA-G1 were inversely correlated to FIV (p < 0.02), whereas good outcome was more common (p < 0.01) in AIS patients with detectable serum concentrations of sHLA-G1/HLA-G5. Taken together, these findings suggest that total sHLA-G could exert a protective effect in a subset of AIS patients, irrespective of its soluble isoforms sHLA-G1 and HLA-G5/G6, and indicate that the prognostic value of serum levels of sHLA-G remains to be established.
Copyright © 2019 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute ischemic stroke; Clinical outcome; HLA-G; Serum levels

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Year:  2019        PMID: 31735441     DOI: 10.1016/j.humimm.2019.11.004

Source DB:  PubMed          Journal:  Hum Immunol        ISSN: 0198-8859            Impact factor:   2.850


  1 in total

1.  Empirical Study of Large-Scale HLA Simulation of Parallel Region-Matching Knowledge Recognition Algorithm Based on Region Matching.

Authors:  Guohua Zhu; Haizhou Wang
Journal:  Comput Intell Neurosci       Date:  2022-04-11
  1 in total

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