1. Immune-Inflammatory, Metabolic, Oxidative, and Nitrosative Stress Biomarkers Predict Acute Ischemic Stroke and Short-Term Outcome.
- Author
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Alfieri DF, Lehmann MF, Flauzino T, de Araújo MCM, Pivoto N, Tirolla RM, Simão ANC, Maes M, and Reiche EMV
- Subjects
- Aged, Biomarkers metabolism, Blood Glucose metabolism, Blood Sedimentation, C-Reactive Protein metabolism, Case-Control Studies, Cholesterol metabolism, Cholesterol, HDL metabolism, Embolic Stroke physiopathology, Female, Ferritins metabolism, Homocysteine metabolism, Humans, Insulin metabolism, Interleukin-6 metabolism, Intracranial Arteriosclerosis physiopathology, Ischemic Stroke physiopathology, Leukocyte Count, Lipid Peroxides metabolism, Male, Middle Aged, Nitrates metabolism, Nitrites metabolism, Nitrosative Stress physiology, Oxidative Stress physiology, Stroke, Lacunar physiopathology, Vitamin D analogs & derivatives, Vitamin D metabolism, Embolic Stroke metabolism, Inflammation metabolism, Intracranial Arteriosclerosis metabolism, Ischemic Stroke metabolism, Stress, Physiological physiology, Stroke, Lacunar metabolism
- Abstract
Immune-inflammatory, metabolic, oxidative, and nitrosative stress (IMO&NS) pathways and, consequently, neurotoxicity are involved in acute ischemic stroke (IS). The simultaneous assessment of multiple IMO&NS biomarkers may be useful to predict IS and its prognosis. The aim of this study was to identify the IMO&NS biomarkers, which predict short-term IS outcome. The study included 176 IS patients and 176 healthy controls. Modified Rankin scale (mRS) was applied within 8 h after IS (baseline) and 3 months later (endpoint). Blood samples were obtained within 24 h after hospital admission. IS was associated with increased white blood cell (WBC) counts, high sensitivity C-reactive protein (hsCRP), interleukin (IL-6), lipid hydroperoxides (LOOHs), nitric oxide metabolites (NOx), homocysteine, ferritin, erythrocyte sedimentation rate (ESR), glucose, insulin, and lowered iron, 25-hydroxyvitamin D [25(OH)D], total cholesterol, and high-density lipoprotein (HDL) cholesterol. We found that 89.4% of the IS patients may be correctly classified using the cumulative effects of male sex, systolic blood pressure (SBP), glucose, NOx, LOOH, 25(OH)D, IL-6, and WBC with sensitivity of 86.2% and specificity of 93.0%. Moreover, increased baseline disability (mRS ≥ 3) was associated with increased ferritin, IL-6, hsCRP, WBC, ESR, and glucose. We found that 25.0% of the variance in the 3-month endpoint (mRS) was explained by the regression on glucose, ESR, age (all positively), and HDL-cholesterol, and 25(OH)D (both negatively). These results show that the cumulative effects of IMO&NS biomarkers are associated with IS and predict a poor outcome at 3-month follow-up.
- Published
- 2020
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