Assessing the blood concentration of new adipocytokines in patients with ischaemic stroke

Autor: Bogdan Marek, Dariusz Kajdaniuk, Beata Kos-Kudła, Halina Borgiel-Marek, Aleksandra Ewa Kazimierczak-Kabzińska
Rok vydání: 2020
Předmět:
Zdroj: Endokrynologia Polska. 71:504-511
ISSN: 2299-8306
0423-104X
DOI: 10.5603/ep.a2020.0082
Popis: Introduction: Ischaemic stroke (IS) is a disease that is a common cause of death and one of the most common causes of disability in adults. There is a continuous need to conduct stroke pathogenesis studies. A certain role here can be attributed to adipose-derived hormones. The aim of this paper is to assess the blood concentration for selected adipocytokines: omentin-1, irisin, protein-1 related with C1q/TNF (CTRP1), vaspin and nesfatin-1 in IS patients, and an attempt to define their role as risk factors for ischaemic stroke. Material and methods: The study included 46 patients with ischaemic stroke (27 females, 19 males, average 67.6 years of age). The control group consisted of 32 patients (16 females, 16 males, average 64.1 years of age) who had never had cerebrovascular diseases. Results: The concentration of omentin-1 and CTRP1 in the group of stroke patients was higher than in the control group, whereas the concentrations of nesfatin-1 and irisin was significantly lower than in the control group. The vaspin level was similar in both groups of patients. Statistical analysis using logistic regression allows us to find that CTRP1 can be a significant stroke risk factor. A statistically significant positive correlation was found between the concentration of CTRP1 and NIHSS. However, no correlation between the concentration of other adipocytokines under investigation and the severity of ischaemic stroke was found. Conclusions: From among the adipocytokines under investigation, higher concentrations of omentin-1 and CTRP1 and lower blood concentrations of nesfatin-1, irisin significantly increase the odds of getting to the group of ischaemic patients. It seems that CTRP1 can be an independent predictive factor of IS.
Databáze: OpenAIRE