Investigating the relationship between interleukin-6 serum levels and outcome in acute ischemic CVA

Predictive value of interleukin-6 combined with serum neuron-specific enolase on the prognosis of acute ischemic stroke

OBJECTIVE

To explore the prognostic value of interleukin-6 (IL-6) combined with serum neuron specific enolase (NSE) in arterial atherosclerotic ischemic stroke.

METHODS

116 patients with arterial atherosclerotic ischemic stroke admitted to the emergency ward of our Hospital were retrospectively analyzed. According to the score of modified Rankin scale (mRS) at 90 days after discharge, the patients were divided into the poor prognosis group (mRS > 2, n = 32) and the good prognosis group (mRS ≤ 2, n = 84). Activities of Daily Living (ADL) was used to evaluate the level of independence in activities of daily living after treatment.

RESULTS

The NIHSS score (14.91 ± 5.20 vs. 9.43 ± 4.30, P < 0.001), IL-6 (11.30 ± 3.11 vs. 6.75±1.28, P < 0.001) and NSE levels (12.47 ± 4.69 vs. 6.42 ± 1.32, P<0.001) in poor prognosis group were higher than those in the good prognosis group. At 90 days post-discharge, 100 % of the good prognosis group had ADL scores over 60, while in the poor prognosis group, 46.88 % scored 40-60, 40.63 % scored 20-40, 9.38 % scored under 20, and 3.13 % died. The AUC of NSE was 0.906 (95 % CI: 0.847-0.965, P < 0.001), the best cut-off value was 7.445 ng/mL, and the sensitivity and specificity were 75.0 % and 82.1 %, respectively. The AUC for IL-6 combined with NSE increased to 0.965 (95 %CI: 0.934-0.997, P < 0.001), and the sensitivity and specificity increased to 80.2 % and 92.9 %, respectively.

CONCLUSION

IL-6 ≥ 6.805 pg/mL and NSE ≥ 7.445 ng/mL were independently associated with poor prognosis in patients with AIS, and the combined testing of the two indicators had a higher predictive value. These results suggested that the combined assay of IL-6 and NSE could be a novel marker for predicting poor prognosis in AIS.

Biomarkers and the outcomes of ischemic stroke

Biomarkers are measurable substances that could be used as objective indicators for disease diagnosis, responses to treatments, and outcomes predictions. In this review, we summarized the data on a number of important biomarkers including glutamate, S100B, glial fibrillary acidic protein, receptor for advanced glycation end-products, intercellular adhesion molecule-1, von willebrand factor, matrix metalloproteinase-9, interleukin-6, tumor necrosis factor-a, activated protein C, copeptin, neuron-specific enolase, tau protein, gamma aminobutyric acid, blood glucose, endothelial progenitor cells, and circulating CD34-positive cells that could be potentially used to indicate the disease burden and/or predict clinical outcome of ischemic stroke. We examined the relationship between specific biomarkers and disease burden and outcomes and discussed the potential mechanisms underlying the relationship. The clinical significance and implications of these biomarkers were also discussed.

Biomarkers for prognostic functional recovery poststroke: A narrative review

Background and objective: Prediction of poststroke recovery can be expressed by prognostic biomarkers that are related to the pathophysiology of stroke at the cellular and molecular level as well as to the brain structural and functional reserve after stroke at the systems neuroscience level. This study aimed to review potential biomarkers that can predict poststroke functional recovery. Methods: A narrative review was conducted to qualitatively summarize the current evidence on biomarkers used to predict poststroke functional recovery. Results: Neurophysiological measurements and neuroimaging of the brain and a wide diversity of molecules had been used as prognostic biomarkers to predict stroke recovery. Neurophysiological studies using resting-state electroencephalography (EEG) revealed an interhemispheric asymmetry, driven by an increase in low-frequency oscillation and a decrease in high-frequency oscillation in the ipsilesional hemisphere relative to the contralesional side, which was indicative of individual recovery potential. The magnitude of somatosensory evoked potentials and event-related desynchronization elicited by movement in task-related EEG was positively associated with the quantity of recovery. Besides, transcranial magnetic stimulation (TMS) studies revealed the potential values of using motor-evoked potentials (MEP) and TMS-evoked EEG potentials from the ipsilesional motor cortex as prognostic biomarkers. Brain structures measured using magnetic resonance imaging (MRI) have been implicated in stroke outcome prediction. Specifically, the damage to the corticospinal tract (CST) and anatomical motor connections disrupted by stroke lesion predicted motor recovery. In addition, a wide variety of molecular, genetic, and epigenetic biomarkers, including hemostasis, inflammation, tissue remodeling, apoptosis, oxidative stress, infection, metabolism, brain-derived, neuroendocrine, and cardiac biomarkers, etc., were associated with poor functional outcomes after stroke. However, challenges such as mixed evidence and analytical concerns such as specificity and sensitivity have to be addressed before including molecular biomarkers in routine clinical practice. Conclusion: Potential biomarkers with prognostic values for the prediction of functional recovery after stroke have been identified; however, a multimodal approach of biomarkers for prognostic prediction has rarely been studied in the literature. Future studies may incorporate a combination of multiple biomarkers from big data and develop algorithms using data mining methods to predict the recovery potential of patients after stroke in a more precise way.

Neopterin and kynurenic acid as predictors of stroke recurrence and mortality: a multicentre prospective cohort study on biomarkers of inflammation measured three months after ischemic stroke

BACKGROUND

Chronic low-grade inflammation is associated with both ischemic stroke and sedentary behaviour. The aim of this study was to investigate the predictive abilities of biomarkers of inflammation and immune modulation associated with sedentary behaviour for ischemic stroke recurrence and mortality in a stroke population.

METHODS

Patients admitted to hospital for acute stroke were recruited to the prospective multicentre cohort study, the Norwegian Cognitive Impairment After Stroke (Nor-COAST) study, from May 2015 until March 2017. Patients with ischemic stroke, blood samples available from the three-month follow-up, and no stroke recurrence before the three-month follow-up were included. Serum was analysed for C-reactive protein (CRP) with high-sensitive technique, and plasma for interleukin-6 (IL-6), neopterin, pyridoxic acid ratio index (PAr-index: 4-pyridoxic acid: [pyrioxal+pyridoxal-5'-phosphate]) and kynurenic acid (KA). Ischemic stroke recurrence and death were identified by the Norwegian Stroke Registry and the Cause of Death Registry until 31 December 2018.

RESULTS

The study included 354 patients, 57% male, mean age 73 (SD 11) years, mean observation time 2.5 (SD 0.6) years, and median National Institute of Health Stroke Scale of 0 (IQR 1) at three months. CRP was associated with mortality (HR 1.40, CI 1.01, 1.96, p = 0.046), and neopterin was associated with the combined endpoint (recurrent ischemic stroke or death) (HR 1.52, CI 1.06, 2.20, p = 0.023), adjusted for age, sex, prior cerebrovascular disease, modified Rankin Scale, and creatinine. When adding neopterin and KA to the same model, KA was negatively associated (HR 0.57, CI 0.33, 0.97, p = 0.038), and neopterin was positively associated (HR 1.61, CI 1.02, 2.54, p = 0.040) with mortality. Patients with cardioembolic stroke at baseline had higher levels of inflammation at three months.

CONCLUSION

Neopterin might be a valuable prognostic biomarker in stroke patients. The use of KA as a measure of anti-inflammatory capacity should be investigated further.

TRIAL REGISTRATION

The study was registered at Clinicaltrials.gov ( NCT02650531 ). First posted on 08/01/2016.

Jak2 Inhibitor AG490 Improved Poststroke Central and Peripheral Inflammation and Metabolic Abnormalities in a Rat Model of Ischemic Stroke

Poststroke hyperglycemia and inflammation have been implicated in the pathogenesis of stroke. Janus Kinase 2 (Jak2), a catalytic signaling component for cytokine receptors such as Interleukin-6 (IL-6), has inflammatory and metabolic properties. This study aimed to investigate the roles of Jak2 in poststroke inflammation and metabolic abnormality in a rat model of permanent cerebral ischemia. Pretreatment with Jak2 inhibitor AG490 ameliorated neurological deficit, brain infarction, edema, oxidative stress, inflammation, caspase-3 activation, and Zonula Occludens-1 (ZO-1) reduction. Moreover, in injured cortical tissues, Tumor Necrosis Factor-α, IL-1β, and IL-6 levels were reduced with concurrent decreased NF-κB p65 phosphorylation, Signal Transducers and Activators of Transcription 3 phosphorylation, Ubiquitin Protein Ligase E3 Component N-Recognin 1 expression, and Matrix Metalloproteinase activity. In the in vitro study on bEnd.3 endothelial cells, AG490 diminished IL-6-induced endothelial barrier disruption by decreasing ZO-1 decline. Metabolically, administration of AG490 lowered fasting glucose, with improvements in glucose intolerance, plasma-free fatty acids, and plasma C Reactive Proteins. In conclusion, AG490 improved the inflammation and oxidative stress of neuronal, hepatic, and muscle tissues of stroke rats as well as impairing insulin signaling in the liver and skeletal muscles. Therefore, Jak2 blockades may have benefits for combating poststroke central and peripheral inflammation, and metabolic abnormalities.

Investigating the relationship between interleukin-6 serum levels and outcome in acute ischemic CVA

INTRODUCTION

Interleukin-6 (IL-6) is among the inflammatory mediators exhibiting elevated levels in ischemic stroke (IS) patients. The present study set out to evaluate the relationship between serum levels of interleukin-6 with long-term and at-hospital outcomes of acute ischemic stroke in patients hospitalized at Imam Khomeini Hospital, Urmia, Iran, from 2017 to 2018.

METHOD AND MATERIALS

This cross-sectional descriptive study enrolled 29 and 31 acute stroke patients for long-term and at-hospital observation, respectively. Evaluation of stroke severity was performed using the National Institute of Health Stroke Scale (NIHSS) and the modified Rankin Scale (mRS) on days 1, 5, and 90. Serum IL-6 level was measured via enzyme-linked immunosorbent assay (ELISA) on days one and five.

RESULTS

In the present cohort study, the following population were enrolled: for long-term evaluation, 11 (38%) men and 18 (63%) women with a mean age of 64.5 ± 14.9 years, and for at-hospital evaluation: 11 (37.5%) men and 20 (64.5%) with a mean age of 65.25 ± 14.37 years. A significant positive correlation was observed between IL-6 levels with NIHSS and mRS scores of the patients from time of admission until the end of the follow-up period (long-term: p < .001; at-hospital: 0.022).

CONCLUSION

The evidence from the present study suggests that IL-6 contributes to the determination of the severity of ischemic strokes and may be useful in predicting prognosis. However, larger scale studies are required to further establish these finds.