Introduction
Stroke is a leading cause of death and the primary cause of disability worldwide, with ischemic stroke accounting for approximately 80% of the cases [
1]. Intravenous thrombolytic treatment (IVT) using alteplase within a narrow time window is the leading treatment for acute ischemic stroke (AIS) [
2]. However, the benefits of intravenous thrombolysis for recanalization are limited. Ischemia and hypoxia in brain tissue prior to recanalization can result in increased release of pro-inflammatory cytokines, leading to pathological damage, such as blood–brain barrier disruption, brain edema, and cell death. Current studies have suggested that neuroinflammation mediates neuronal damage, increasing neurological deficits during the acute phase of cerebral ischemia [
3,
4]. Numerous studies have reported that different inflammatory and cardiogenic biomarkers (e.g., IL-6 and MMP-9) are closely associated with ischemic stroke and its functional prognosis [
5‐
7]. Therefore, identifying validated plasma markers to predict the outcome of AIS after IVT is essential to help adjust treatment strategies for patients with AIS.
To explore the potential plasma markers that could be used to predict the AIS outcome after IVT, we prospectively collected peripheral blood from AIS patients before and after IVT to investigate the following plasma biomarkers, interleukin-6 (IL-6), matrix metalloproteinase 9 (MMP-9), a disintegrin and metalloproteinase with a thrombospondin type 1 motif member 13 (ADAMTS13), tenascin-C(TNC), gelsolin(GSN), and thioredoxin (TRX). In addition, the relationship between dynamic changes before and after IVT, disease severity, and the predictive value of the plasma markers to assess functional outcomes also were analyzed.
Materials and methods
Patient selection
Patients with AIS admitted to the Department of Neurology at the People's Hospital of Guangxi Zhuang Autonomous Region for IVT between January 2020 and June 2021 were prospectively entered into the study. The study was performed according to the World Medical Association (WMA) Declaration of Helsinki and approved by the Ethics Committee of Guangxi Zhuang Autonomous Region People's Hospital. Given its observational and anonymous nature, the need for patient consent to participate in this study was waived.
The inclusion criteria were as follows: (1) AIS patients who underwent IVT; (2) age was ≥ 18 years; (3) the initial modified Rankin Score (mRS) on admissions ≤ 2.
The exclusion criteria were as follows: (1) unfavorable outcomes occurred before sampling; (2) the patient exhibited significant pre-stroke disability (pre-stroke mRS ≥ 2); (3) evidence of intracranial hemorrhage, subarachnoid hemorrhage, arteriovenous malformation, aneurysm, or intracranial tumor verified by CT/MRI on admission; (4) the presence of pre-existing neurological or psychiatric disease that would confound the neurological evaluation; (5) active or recent hemorrhage and a history of trauma or surgery within two months before stroke onset; (6) concurrent infection at the time of sample collection; (7) the presence of rheumatoid immune diseases, severe liver or kidney disease, hematopathy, or malignant tumors; (8) suspicion of the presence of an infectious embolus or bacterial endocarditis; (9) a baseline platelet count < 50,000/μL; (10) the patient was pregnant or lactating; (11) missing clinical, imaging, or follow-up data or information; and (12) blood samples were of poor quality.
Ninety-five consecutive patients were included in the study. Of the 95 patients, 15 patients were excluded due to the presence of infection on admission, 2 patients had malignant tumors, 1 patient had a rheumatic immune disease,2 patients had incomplete clinical data and missing follow-up data, and 1 patients’ blood samples were of low quality. The remaining eligible patients (n = 74) were divided into two groups based on their NIHSS scores. One group consisted of patients with a NIHSS score greater than 5 (NIHSS > 5) (n = 36), and the other group of patients had a NIHSS score equal to or less than 5 (NIHSS ≤ 5) (n = 38).
IVT was carried out according to international guidelines. 0.9 mg alteplase/kg body weight was administered with a maximum dose of 90 mg. The drug was administered as an infusion of a 10% bolus dose within 1 min, followed by an infusion of a 90% dose within 60 min. The NIHSS score was assessed at admission and at 24 h and one week after stroke onset to determine neurological function. Baseline demographic information and vascular risk factors were collected from the patients, including baseline stroke severity (NIHSS score at admission), pre-stroke mRS, cerebrovascular risk factors (age, sex, hypertension, diabetes, hyperlipidemia, atrial fibrillation, coronary artery disease, atherosclerosis, as well as smoking and alcohol consumption status). Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured three times within 24 h of admission, and the mean systolic and mean diastolic blood pressures were calculated. Biochemical parameters, including liver function, coagulation, uric acid, creatinine, and other laboratory tests, including blood cell count, were obtained before or 24 h after thrombolytic therapy. Computed tomography, magnetic resonance and digital subtraction angiography, electrocardiography, and carotid ultrasound were used to determine the stroke etiology. The clinical outcome at 90 days after AIS was assessed using the mRS. An mRS ≥ 2 or death was defined as a poor prognosis [
8,
9]. The data were obtained using a telephone follow-up interview by a physician who was unaware of the patients’ clinical information and factor levels.
Biomarker assay assessment
Blood samples were collected before stroke onset (t0), 24 h after thrombolytic therapy (t1), and 72 h after thrombolytic therapy (t2). The samples were immediately centrifuged at 3,000 g for 15 min (Thermo Scientific Haraeus Multifuge 3SR plus centrifuge, US) and stored at -80 °C until analyzed.
The levels of IL-6, MMP-9, TNC, and ADAMTS13 were determined using a Luminex R&D System kit (Labex Bio, Shanghai, China), following the manufacturer’s instructions. This method utilized different antibody factors covalently cross-linked to specifically coded microspheres. Each coded microsphere was dyed with a different fluorochrome in different ratios, resulting in a corresponding fluorescent code and assay. The coefficients of variation (CVs) were 0.56% for IL-6, 0.58% for MMP-9, 0.44% for TNC, and 0.3% for ADAMTS13.
The TRX and GSN antibodies in serum were determined using a quantitative sandwich enzyme immunoassay (ELISA), following the manufacturer's instructions (Service Bio, Wuhan, China). The CVs for the TRX inter-assay and intra-assay ranged from 8 to 10%, respectively. The lower detection limit was 1.172 ng/mL, and the line range was 4.688 ng/ml to 300 ng/ml. The CVs for the GSN inter-assay and intra-assay ranged from 8 to 10%, respectively, and exhibited a range of 3.12 ng/ml to 200 ng/ml with a lower detection limit of 0.78 ng/ml.
Statistical analysis
Statistical analysis of the data was performed using SPSS version 24.0 and Graphpad prism 8.0.2. Continuous variables that conformed to a normal distribution were expressed as means ± standard deviation. Other continuous variables that did not exhibit a normal distribution were expressed as medians and interquartile ranges (25% to 75%). Categorical variables were expressed as composition ratios. The plasma markers were labeled as continuous variables, log-transformed, and tested using repeated-measures ANOVA. The Pearson's chi-square test was used for categorical variables to test for differences in baseline characteristics. We also used binary logistic regression analysis to detect risk factors affecting the severity of illness and adverse prognosis. After correcting for potential confounders, including age and gender, independent influences associated with the prognosis of patients who underwent intravenous thrombolysis for AIS were screened using univariate and multivariate logistic regression analyses. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for each endpoint. Subject (receiver) operating characteristic (ROC) curves were used to assess the plasma markers (IL-6, MMP-9, ADAMTS13, TNC, GSN, and TRX) and determine the optimal cut-off point, sensitivity, and calculated specificity.
Discussion
In our study, we evaluated the prognostic values of plasma factors in AIS patients who received IVT. We found that the levels of MMP-9, ADAMTS13, and TRX were significantly decreased in AIS patients with IVT. However, the levels of IL-6, TNC, and GSN showed no significant differences after IVT. When the AIS patients were divided into two groups based on their NIHSS scores, the IL-6 levels were significantly higher in the group with high NIHSS scores (NIHSS > 5). Moreover, the ROC curves revealed that IL-6 and ADAMTS13 levels could significantly predict the 90-day prognosis of AIS patients after IVT. These results indicated that IL-6 and ADAMTS13 might be independent factors that are able to predict patient prognosis at 90 days following IVT for AIS.
IL-6 is a critical cytokine involved in the acute phase of the inflammatory response. Numerous studies have shown that the level of IL-6 increases in cerebrospinal fluid (CSF) and peripheral blood after ischemic stroke [
10‐
13]. In human studies, the serum level of IL-6 is significantly correlated with infarct size and survival in stroke [
14,
15]. Francisco et al. [
16] demonstrated that IL-6 emerged as the only biomarker independently associated with infarct volume in AIS patients. Similarly, in our study, the levels of IL-6 were increased in AIS patients with NIHSS scores greater than 5. Therefore, the IL-6 levels could be considered an independent factor in predicting the patients’ prognosis 90 days after IVT. Similarly, recent studies have confirmed that a high level of IL-6 after AIS was an independent predictor of poor functional outcomes [
17‐
19]. Therefore, high IL-6 levels might partially contribute to poor functional outcomes and death [
20].
Low levels of MMP-9 expression are expected in the normal brain [
21]. However, the levels of MMP-9 are elevated after cerebral ischemia, and MMP-9 levels are closely related to the occurrence and development of cerebral infarction [
21,
22]. High levels of MMP-9 can be detected in necrotic brain tissue and the ischemic penumbra following a stroke [
23]. In the present study, the level of MMP-9 after IVT in AIS patients was lower than before IVT, which might indicate that the necrotic tissue decreased MMP-9 release due to the recanalization of blood vessels after IVT. The NIHSS scores were not correlated with the levels of MMP-9, suggesting that MMP-9 might not reflect disease severity or the amount of necrotic brain tissue present.
Similar to the changes in the levels of MMP-9, the levels of ADAMTS13 and TRX after IVT treatment in AIS patients were lower than before IVT. However, our results contradict the report of Xu et al. that showed that the level of ADAMTS13 was associated with the effects of endovascular treatment or thrombolysis after cerebral infarction in patients with acute stroke. In addition, high levels of ADAMTS13 were associated with arterial recanalization in that study [
24]. Decreased levels of ADAMTS13 were associated with poor functional outcomes for AIS patients in this study [
24,
25]. Specifically, our results demonstrated that the levels of ADAMTS13 at 72 h post-IVT functioned as a protective factor and was an independent predictor of functional outcome in AIS patients.
TRX is a ubiquitous protein with disulfide reductase activity and plays a critical role in cellular redox control and oxidative stress responses. Increased expression of TRX and TRXR significantly disturbs redox homeostasis [
26]. In this study, we investigated for the first time changes in TRX levels before and after IVT and discovered that the level of TRX decreased in AIS patients after IVT. Therefore, we speculated that the reduced TRX levels indicated that the redox homeostasis might not be disturbed following IVT.
There were no significant differences in the levels of TNC and GSN between the NIHSS > 5 and NIHSS ≤ 5 groups before or after IVT. Bharath et al. [
27] proved that TNC could induce post-stroke brain damage. The reason why we did not observe significant differences in TNC levels might be due to an insufficient time interval for blood collection. GSN is an actin-severing and capping protein that regulates actin assembly and might be involved in fibroblast activation. We did not observe significant changes in GSN before and after IVT, which might indicate that GSN is not involved in the occurrence and development of cerebral infarction.
Several limitations were associated with this study. The sample size was small, and the patients were recruited from a single center, thus the follow-up prognostic value is very strict. The IL-6, MMP-9, ADAMTS13, TNC, TRX, and GSN levels were detected at only two-time points. The follow-up and chronic-phase data were not available. ADAMTS13 activity and vWF antigen/activity has effects on thrombosis. However, in this study, we did not explore the relationship between ADAMTS13 activity and IVT patients’ outcomes. Finally, the NIHSS scores of patients with mild stroke might be subjectively influenced by physician. Thus, additional studies are necessary to address these issues.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.