Proinflammatory and Anti-inflammatory Genes in Stroke Pathogenesis

Jiang, Meei Jyh; Yin, Penglin; Bai, Xiaodan; Yang, Liji; Zhang, Junping; Xu, Shang‐Zhong

doi:10.2174/1381612826666200701212859

Cited by 3 publications

(1 citation statement)

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“…A growing number of studies indicate the importance of the inflammatory response in the pathogenesis of stroke. [14][15][16] Inflammation in ischemic stroke involves the release of cytokines, chemokines, and injury-related molecular patterns that exacerbate the destruction of brain tissue during the acute and repair phases of ischemic stroke. 17 Proinflammatory signals from immune mediators rapidly activate resident cells and influence various inflammatory cells (neutrophil, monocyte/macrophage, different subtypes of T cell, and other inflammatory cells) to infiltrate the ischemic zone, exacerbating brain injury.…”

Section: Discussionmentioning

confidence: 99%

Eosinophil: A New Circulating Biomarker for Risk of Poor Outcome in Stroke Patients Undergoing Mechanical Thrombectomy

Yu¹,

Huang²,

Wang³

et al. 2023

CIA

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Objective Acute ischemic stroke (AIS), caused by occlusion of large vessel, is a serious life-threatening disease. This study aimed to comprehensively investigate the association of 14 common and readily available circulating biomarkers with the 90-day modified Rankin Scale (mRS) score in patients undergoing mechanical thrombectomy (MT). Methods This study included patients with anterior circulation large vessel occlusive stroke treated with MT from 05/2017 to 12/2021. Baseline comparisons of poor outcome were performed among enrolled patients. Factors that may be associated with the mRS score were assessed using correlation analysis. Univariate and multivariate logistic regression analyses were used to evaluate the predictive value of circulating biomarkers and poor outcome. Results The mRS score has a strong correlation with neutrophil to lymphocyte ratio (NLR) and eosinophil levels (all r s >0.4 in absolute value and all P<0.001) in addition to a high correlation with National Institute of Health Stroke Scale (NIHSS) score (r s =0.40, P<0.001). There was also a high correlation between NLR and eosinophil (r s =−0.58, P<0.001). In the multivariate regression analysis, only neutrophil (adjusted OR=1.301, 95% CI: 1.155−1.465, P<0.001), eosinophil (adjusted OR<0.001, 95% CI: <0.001−0.016, P<0.001), and NLR (adjusted OR=1.158, 95% CI: 1.082−1.241, P<0.001) were independently associated with poor outcome. Conclusion This study evaluated a series of circulating biomarkers and found that neutrophil, eosinophil, and NLR independently predicted poor outcome after MT in AIS patients. There was a significant negative correlation between eosinophil and NLR levels.

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