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Annals of Indian Academy of Neurology logoLink to Annals of Indian Academy of Neurology
. 2012 Jul-Sep;15(3):181–185. doi: 10.4103/0972-2327.99707

Time course of inflammatory cytokines in acute ischemic stroke patients and their relation to inter-alfa trypsin inhibitor heavy chain 4 and outcome

Amit R Nayak 1, Rajpal S Kashyap 1,, Dinesh Kabra 1, Hemant J Purohit 1, Girdhar M Taori 1, Hatim F Daginawala 1
PMCID: PMC3424794  PMID: 22919189

Abstract

Background:

Biomarker for prognosis of stroke is urgently needed for the management of acute ischemic stroke (AIS) patients.

Objective:

To evaluate the course of inflammatory cytokines in AIS patients and its comparison with inter-alfa trypsin inhibitor heavy chain 4 (ITIH4) and outcome after AIS.

Materials and Methods:

A panel of 12 inflammatory cytokines and ITIH4 were estimated in serial blood samples collected at admission, 24 h, 48 h, 72 h, 144 h and at discharge of AIS patients (n = 5).

Results:

Out of the 12 cytokines, only interleukin (IL)-2, tumor necrosis factor-alfa (TNF-α), IL-10, IL-6, IL-1B and IL-8 were in the measurable range of the kit (10 pg/mL). We found high IL-2 at admission, which decreased (P < 0.05) in the follow-up samples. TNF-α initially increases (P < 0.05) at 24 h followed by gradual decrease (P < 0.05) after 72 h. IL-10 decreases initially (P < 0.05) till 72 h as compared with its level at admission and then increases (P < 0.05) after 144 h. Similarly, ITIH4 was down-regulated in the early 72 h followed by further increase with improvement of the patient. ITIH4 correlates with IL-10 and computed tomography scan infarct volume. Serum IL-6, IL-1B and IL-8 increased in the AIS patients, but did not show any pattern.

Conclusions:

Serial measurement of IL-10, IL-2 and TNF-α and ITIH4 may be useful for the follow-up of clinical outcome after AIS.

Keywords: Acute ischemic stroke, cytokine, inter-alfa trypsin inhibitor heavy chain 4, prognosis

Introduction

Stroke is one of the most frequent causes of death and disability worldwide. Although different mechanisms are involved in the pathogenesis of stroke, there is increasing evidence showing that inflammation accounts for its progression.[13]

Inflammatory molecules are those that were up-regulated, and contribute to the inflammatory process. This includes adhesion molecules, chemokines and cytokines. The intercellular adhesion molecule and vascular cell adhesion molecule-1 were reported to be expressed on endothelial cells during inflammation after transient middle cerebral artery occlusion in the rat.[46] Similarly, increase in monocyte chemoattractant protein-1 expression has been reported to exacerbate ischemic brain injury.[7,8] Inhibition or modulation in the level of these inflammatory molecules has shown a beneficial effect in a number of studies.[911]

During the last decade, extensive research has been done on discovery of biomarkers, which can help in the prognosis of stroke.[1214] But, in most of these studies, they have compared the level of these inflammatory molecules at the time of admission with the infarct volume and outcome. There are very few reports on repeated measurements of inflammatory molecules for prediction of clinical outcome after stroke.[13,1517]

In our previous studies, we have reported about the novel protein inter-α trypsin inhibitor heavy chain 4 (ITIH4), which correlates with the outcome of acute ischemic stroke (AIS) patients. We have also reported that ITIH4 expression was similar to that of anti-inflammatory cytokine interleukin (IL)-10.[18,19]

The objective of this preliminary study is to evaluate the course of inflammatory cytokines in AIS patients and its comparison with ITIH4 and outcome to identify potential candidate cytokine markers for follow-up of clinical outcome after AIS.

Materials and Methods

Patients

Five patients (n = 5), aged 22–76 years, admitted within 24 h of the onset of symptoms of AIS, were included in the present study. Diagnosis was based on the WHO definition of stroke, “Rapidly developing signs of focal (or global) disturbance of cerebral function lasting >24 h (unless interrupted by surgery or death) with no apparent nonvascular cause, history, neurological examination and computerized tomography (CT).” Patients with transient ischemic attack, hemorrhage, malignancies, renal or hepatic diseases or other types of injuries were excluded from the study. Neurological deficit was assessed as per the National Institute of Health Stroke Scale (NIHSS) score during the hospitalization period and functional recovery was assessed using the modified Rankin Scale (mRS) at the time of discharge. The protocol of this study was reviewed and approved by the Institutional Ethics Committee.

Blood sampling

Venous blood was collected at 0 h (the time of admission) and 24 h, 48 h, 72 h and 144 h after admission. Blood was allowed to clot and, after centrifugation (1000x g, 10 min), serum was separated and stored at -20°C until used in the experiments.

ITIH4 estimation

Indirect enzyme-linked immunosorbent assays (ELISA) were performed as described by Kashyap et al.[19] In brief, 100 μL (1:100) serum samples taken from AIS patients at each time point were added to individual microtiter wells and blocked with 0.5% bovine serum albumin in phosphate-buffered saline (PBS). After washing with PBS, the polyclonal antibody against ITIH4 protein was added and plates were incubated at 37°C for 60 min. The wells were washed, followed by addition of the secondary antibody (goat anti-rabbit immunoglobulin G horseradish peroxidase; IgG-HRP) and incubation for 60 min at 37°C. After another wash, antibody reactivity was detected via the addition of 100 μL tetramethylbenzidine hydrogen peroxide (TMB/H2O2) substrate solution to the wells, which were then incubated at room temperature for about 5 min. The reaction was stopped with 100 μL of 2.5 N H2SO4, and the absorbance of each well was read at 450 nm.

Inflammatory cytokine assay

The panel of inflammatory cytokines was estimated in the follow-up serum samples collected from AIS patients using the Multi-Analyte ELISarray kit as per the manufacturer's instruction (SABiosciences Corporation, Frederick, USA). In brief, 50 μL of the assay buffer followed by 50 μL of the sample or standard were added in to respective ELISA wells. The plate was taped for 10 s and incubated for 2 h at room temperature. After incubation, the plate was washed three times with wash buffer. After washing, 50 μL of the assay buffer and 50 μL of biotin-conjugated detection antibody against corresponding cytokines and chemokines were added in the respective wells and incubated for 1 h. After incubation, the wells were again washed three times with wash buffer and 100 μL of avidin-HRP solution was added in all wells. The plate was then incubated at room temperature for 30 min. After incubation, the plate was washed again for four times and 100 μL of substrate solution was added to each well. The ELISA plate was then incubated in the dark for 15 min and 100 μL of stop solution was added and absorbance was measured at 450 nm. The concentration of the particular cytokine and chemokines were calculated with respect to their corresponding standards. The cytokine and chemokines measured in the current study includes IL-1A, IL-1B, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12, IL-17A, interferon (INF)y, TNF-α and granulocyte-macrophage colony stimulating factor (GM-CSF).

Statistical analysis

The levels of ITIH4 and inflammatory cytokine at admission were compared with those of the follow-up samples by ANOVA for repeated measurement variable. The degree of association between ITIH4, inflammatory cytokine and CT scan infarct volume were analyzed using Pearson's correlation test. All the statistical analysis was performed using MedCalc (statistical software version10) and statistical significance was defined as P <0.05.

Results

All patients were admitted to the Intensive Care Unit (ICU), where the temperature was maintained at 20–25°C. The clinical characteristics of the five patients of AIS are shown in Table 1.

Table 1.

Clinical details of AIS patients

graphic file with name AIAN-15-181-g001.jpg

All patients received anti-platelet agents (aspirin 150 mg, clopidregel 75 mg once a day) and other supportive measures for the treatment of concurrent illnesses like hypertension. Anti-edema measures, such as mannitol 20%, 0.25–0.5 g/kg over 20 min (not exceeding a total of 2 g/1 kg of body weight in 24 h), were given with symptoms of raised intracranial pressure. One patient was thrombolysed using intravenous recombinant tissue plasminogen activator (IV-tPA); mean admission NIHSS was 16.2 (range 10–18) and mean m-Rs score at discharge was 3.6 (range 2–4).

Correlation analyses between CT scan infract volumes and all the studied parameter levels at the time of admission shows a significant correlation only with ITIH4 (r = -0.9422; P < 0.05), as shown in Figure 1a. Similarly, when we analyzed the correlation between ITIH4 [Figure 3] and all inflammatory cytokines, we observed a positive and significant correlation only with IL-10 (r = 0.3973; P < 0.05), as shown in Figure 1b.

Figure 1.

Figure 1

(a) Correlation (with 95% regression confidence limits) between computed tomography scan infarct volume and inter-alfa trypsin inhibitor heavy chain 4 (ITIH4) at admission in acute ischemic stroke (AIS) patients. (b) Correlation (with 95% regression confidence limits) between ITIH4 and interleukin-10 cytokine at admission in AIS patients. (c) ITIH4 levels in the follow-up sample of AIS patients

Figure 3.

Figure 3

Correlation (with 95% regression confidence limits) between computed tomography scan infarct volume and inflammatory cytokine at admission in acute ischemic stroke patients

Figure 1c shows ITIH4 measured [Figure 4] in the serum sample of AIS patient collected at 0 h, 24 h, 48 h, 72 h, 144 h and at discharge. ITIH4 expression was down-regulated in AIS patient in the early 72 h and further increased with improvement of AIS patients.

Figure 4.

Figure 4

Correlation (with 95% regression confidence limits) between inter-alfa trypsin inhibitor heavy chain 4 and inflammatory cytokine in acute ischemic stroke patients

Out of the 12 cytokines, we observed that only six cytokines were in the measurable range of the kit (10 pg/mL), which included four pro-inflammatory cytokines (i.e., IL-1B, IL-2, IL-8 and TNF-α) and two anti-inflammatory cytokines (IL-10 and IL-6). TNF-α significantly increased (P < 0.05) in AIS patients at 24 h and 48 h, followed by a gradual decrease (P < 0.05) at 72 h, 144 h and at discharge [Figure 2a]. The level of IL-1B increased at 24 h (P < 0.05) after AIS followed by a significant decrease (P < 0.05) at 48 h and 72 h and again an increase (P < 0.05) at 144 h and then normalized at discharge [Figure 2b]. IL-2 was found to be high at the time admission in AIS patients, which then gradually decreased (P < 0.05) in the follow-up samples [Figure 2c]. There was no significant difference in the IL-8 level in the follow-up samples as compared with the control [Figure 2d].

Figure 2.

Figure 2

Temporal profile of serum levels of inflammatory cytokines: (a) tumor necrosis factor-α, (b) interleukin (IL)-1B, (c) IL-2, (d) IL-8, (e) IL-6 and (f) IL-10 in acute ischemic stroke patients at different time intervals. *P < 0.05 vs. admission; #P < 0.05 vs. 24 h

Among anti-inflammatory cytokines, IL-10 was found to be initially decreased in AIS patients and then significantly increased (P < 0.05) at 144 h and discharge [Figure 2e]. However, a significant increase (P < 0.05) in IL-6 was noted at 24 h, which remained high till 144 h, and then significantly decreased (P < 0.05) at discharge [Figure 2f].

Discussion

There is a balance between pro- and anti-inflammatory cytokines in a normal physiological state. This balance is lost after stroke.[20] In this study, we evaluated the course of inflammatory cytokines in AIS patients and compared its level with ITIH4 and outcome of AIS patients to identify potential candidate cytokines for the prediction of clinical outcome in AIS patients.

Out of the 12 cytokines, we observed that only six cytokines were in the measurable range of the kit (10 pg/mL), which included four pro-inflammatory cytokines (i.e., IL-1B, IL-2, IL-8 and TNF-α) and two anti-inflammatory cytokines (IL-10 and IL-6).

We observed a decrease in the serum level of ITIH4 after AIS, which further increased with the improvement of patients. Decrease in ITIH4 level correlates with CT scan infarct volume. Results of the current study are consistent with our earlier reports.[18,19]

IL-8 is predominantly produced within the central nervous system by damage of tissue at the site of ischemia. IL-8 mRNA was also reported to increase in peripheral blood mononuclear cell (PBMC) after stroke. The plasma level of IL-8 (chemokines, CXCL8) increased after stroke and remained elevated up to 1 month.[21] IL-1b and IL-17 were also elevate systemically after AIS.[22] IL-1b and IL-17 induced the secretion of IL-8.[23,24] We also observed a high IL-8 level in the serum of AIS patients throughout the follow-up. Thus, our results are in agreement with the earlier report. But, interestingly, in contrast to previous reports, we did not observe IL-17 in a detectable level, while IL-1B was found to be elevated only at 24 h and 144 h. This shows that IL-8 might be regulated by other mechanisms also. A recent study by Asare et al. showed that decrease in IL-1b increases the risk of stroke, and a mild increase in IL-1b is protective against stroke.[25] Thus, the observed increase in IL-1b at 24 h and 144 h in AIS patients may be due to protective immune response after AIS.

IL-10 is known to be the main down-regulator of the deleterious effect of pro-inflammatory cytokines.[26,27] IL-10 was reported to be significantly decreased after stroke as compared with the control, and again increased at the seventh day after stroke, and was associated with neurological deficit and/or stroke outcome.[9,17,20] We also observed a decrease in serum IL-10 levels after AIS, which further increased after 72 h with improvement of the AIS patient, and also correlated with ITIH4.

IL-6 and TNF-α have been reported to increase after stroke.[28] An increase in serum IL-6 and TNF-α within 24 h after AIS was also observed in the current study. The TNF-α level further decreased with an improvement in the AIS patients. IL-6 is a pleiotropic cytokine and can function as a pro-inflammatory cytokine by enhancing leukocyte recruitment by up-regulating production of chemokines and adhesion molecule expression.[29,30] IL-6 also serves as an anti-inflammatory cytokine by inhibiting TNF-α expression and inducing the expression of soluble TNF-α receptors and the IL-1R antagonist.[31,32] Similarly, a recent report by Al-Bahrani et al. demonstrates that the TNF-α level was also found to decrease in response to anti-platelet therapy.[33] Therefore, decrease in the TNF-α after 48 h in the follow-up sample of AIS patients might be due to the anti-inflammatory effect of IL-10, reported anti-inflammatory activity of IL-6 or as a result of anti-platelet therapy, as treatment regiments for AIS also include the anti-platelet drug. These could be the possible explanation for further decrease in TNF-α in AIS patients after 48 h.

In an earlier study, it was shown that the IL-2 level decreases with the increase in anti-inflammatory cytokine IL-10.[17] Results of the current study also show that IL-2 decreases after increase in the anti-inflammatory response. Pro-inflammatory cytokines IL-1A, IL-12, IL-17A, INF-y, GM-CSF and anti-inflammatory cytokine IL-4 were not detected in the serum samples. This shows that, possibly, there may be less involvement of these cytokines in poststroke inflammatory reaction.

Conclusion

Results of the current study suggest that serial measurement of IL-2, IL-10, TNF-α and ITIH4 may be useful for the follow-up of the clinical outcome after AIS. Although serum levels of IL-6, IL-1B and IL-8 increased in AIS patients, they did not show any pattern; thus, they were not useful for prognosis. Another study with selected cytokines and high number of patients is needed to confirm the results.

Footnotes

Source of Support: Nil

Conflict of Interest: Nil

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