Association of elevated plasma CCL5 levels with high risk for tic disorders in children

Abstract

Abnormal levels of some peripheral cytokines have been reported in children patients with tic disorders (TDs), but none of these cytokines can be a biomarker for this disease. Our aim was to systemically profile differentially expressed cytokines (DECs) in the blood of TD patients, examine their associations with TD development, and identify from them potential biomarkers for the prediction and management of the risk for TDs. In this study, a cytokine array capable of measuring 105 cytokines was used to screen for DECs in the plasma from 53 comorbidity-free and drug-naïve TD patients and 37 age-matched healthy controls. DECs were verified by ELISA and their associations with TD development were evaluated by binary logistic regression analysis. Elevation of a set of cytokines was observed in TD patients compared with controls, including previously uncharacterized cytokines in tic disorders, CCL5, Serpin E1, Thrombospondin-1, MIF, PDGF-AA, and PDGF-AB/BB. Further analysis of DECs revealed a significant association of elevated CCL5 with TD development (p = 0.005) and a significant ROC curve for CCL5 as a risk factor [AUC, 0.801 (95% CI: 0.707–0.895), p < 0.0001].

Conclusion

This study identifies associations of a set of circulating cytokines, particularly CCL5 with TD development, and provides evidence that high blood CCL5 has potential to be a risk factor for TD development.

Clinical Trial Registration

identifier ChiCTR-2000029616.

Introduction

Tic disorders (TDs) are childhood-onset neurodevelopmental conditions characterized by sudden, rapid, recurrent, and nonrhythmic motor movements or vocalizations (1), and based on the type of tics and duration of tic symptoms, they can be classified into 3 major groups: Tourette syndrome (TS), chronic tic disorder (CTD) and provisional tic disorder (PTD). As the most common movement disorders in the pediatric population, TDs affect up to 5% children worldwide (2). Previous literature have supported that this disease can cause physical and mental impairments in multiple domains, such as educational attainment, peer relationships, quality of life, and even premature mortality (2, 3). Tics tend to be refractory to medical treatments and non-medical interventions, and most patients experience relapses that often persist into adulthood. Prediction and management of the risk for TD onset and relapse rely largely on biomarkers which, however, are severely lacking (4).

The etiology of TDs appears to be complex and multifactorial. Growing evidence reveals associations between TDs and various immune disorders, including streptococcal infection-included autoimmunity and many other autoimmune diseases, common allergies, asthma, and maternal immune activation (2, 5, 6). A recent large-scale genome-wide pathway analysis indicates an implication of immune-related pathways in TS (7). These findings link dysregulation of immune responses to TD development. As critical effectors and modulators of immune responses, hundreds of cytokines, consisting of interleukins, chemokines and growth factors, have the potential to be involved in TD development, which is favored by the fact that abnormal levels of a few cytokines in the peripheral blood, like TNF-α, IL-12 and IL-1β have been reported in TD patients (8–10), and the knowledge that TS-associated streptococcal infections are certainly able to induce production of various cytokines. Previous studies, however, were limited to a small number of cytokines, leaving many more cytokines uncharacterized. The goal of this study was to use a cytokine array to simultaneously profile plasma levels of over a hundred cytokines in TD patients and controls, characterize differentially expressed cytokines (DECs), and examine their potential associations with TDs.

Methods

Study design and participants

53 patients (median age 8, range 3–16 years) with CTD (11), TS (12) or PTD (13) and 37 age-matched healthy children (median age 9, 3–16 years) who passed outpatient physical examination were recruited for this study. The patients were diagnosed in accordance with the DSM-V criteria and evaluated carefully to exclude those who had any known comorbidities, including mental retardation, autism, attention deficit hyperactivity disorder, and those who received medication within 1 year before admission. The tic severity of each patient was evaluated using the Yale Global Tic Severity Scale (YGTSS), a gold-standard, clinician-administered, semi-structured interview (14). A clinician rates motor and vocal tics in terms of number, frequency, intensity, complexity and interference over the preceding week as well as overall related impairment. Items are rated on a scale from 0 to 5, with higher scores indicative of higher tic severity. YGTSS shows moderate to excellent test–retest reliability, good to excellent internal consistency, inter-rater reliability, convergence validity and moderate to excellent discriminant validity (12, 14, 15). The peripheral blood samples were collected within 4 h of admission, and plasma was immediately prepared, aliquoted, and stored at −80°C for analysis.

The study was approved by the Ethics Committee of Shanghai Children's Medical Center (SCMCIRB-K2019080-3), registered at www.chictr.org.cn (ChiCTR-2000029616), and conducted between July 2020 and November 2021. Informed consent and verbal assent (as appropriate) were provided by parents or legal guardians of all subjects. The study was carried out in accordance with the Helsinki Declaration.

Detection of cytokines in the plasma

Plasma cytokine profiling was performed with a commercial human cytokine array (R&D Systems, Cat. No.: ARY022B) to measure the relative levels of 105 cytokines according to the manufacturer's instructions. Briefly, equal volume of individual plasmas had been mixed evenly for each group of patients and controls, and the resultant 4 sets of mixed plasma samples were subjected to the array analysis simultaneously. DECs detected in TD patients were individually confirmed by using Quantikine enzyme-linked immunosorbent assay (ELISA) kits from R&D Systems [CCL5(DY478), PDGF-AA(DY221), PDGF-BB(DY220)] as described previously (11).

Statistical analysis

Data regarding subject characteristics are collected at first visit. Summary statistics for continuous variables are assessed by Kolmogorov–Smirnov test and presented by mean ± standard deviation. Unpaired t-test were used for normal distribution data, while Wilcoxon test was used for skewed distribution data. Correlations of DECs levels with tic severity that was scored by following the YGTSS were tested by Pearson's correlation test or Spearman's rank correlation test (depending on the distribution of the variables). Due to the significant differences in gender between healthy control group and TD group, a binary logistic regression analysis was performed to predict TD occurrence from gender, CCL5, PDGF-AA in data collection section and results were expressed by estimating odds ratios (OR) with their 95% confidence intervals. The predictive values of the binary logistic regression analysis were determined using receiver operating characteristic (ROC) curve analysis, and the area under the curve (AUC) was calculated accordingly.

All the data were exported to Excel and SPSS statistics version 26.0. Statistical analyses were performed using the SPSS, and GraphPad Prism 7 was used for mapping. Two-tailed tests were conducted to test statistical significance, and the significance level was set at p < 0.05.

Results

Since comorbidities and prior medications are reported to affect the blood levels of cytokines (10, 16), we excluded comorbid patients and those recently medicated when enrolling tic disorder patients. To systemically compare the relative expression levels of cytokines in TD patients and controls, we employed a cytokine array to profile 105 cytokines (Supplementary Table S1) in the plasma from 3 groups of TD patients and 1 group of control (Table 1). Cytokine signals were developed as spots on film (Figure 1B), and pixel intensity of each spot was quantified for an accurate comparison (Supplementary Table S2). Consistent with previous studies that reported elevation of proinflammatory cytokines, such as TNF-α, IL-12 and IL-1β (8–10), these cytokines were also increased to varying degrees in TD patients in our array assay (Supplementary Table S2). A heatmap analysis of relative levels of all tested cytokines indicated the overall similarities and differences between control subjects and these groups of TD patients (Figure 2). Obviously, the major alterations in the 3 groups of TD patients were elevations of a set of cytokines, including the chemokine RANTES (also known as CCL5), Serpin E1, Thrombospondin-1, MIF, PDGF-AA, and PDGF-AB/BB (a mixture of the B subunit containing PDGF factors detected by antibody to the B subunit that was incapable of distinguishing between AB and BB) (Figure 2), that appeared to be the major DECs.

Table 1.

General clinical data of healthy control and TD patients.

	Control (n = 37)	TD (n = 53)	p
Age (year)	8.89 ± 3.13 (4–15)	7.91 ± 2.71 (3–16)	0.12
Sex male (%)	17 (45.9%)	41 (77.36%)	0.001*
YGTSS		21.45 ± 7.60
Motor tics		9.19 ± 2.97
Vocal tics		4.53 ± 4.79
Impairment		7.74 ± 4.66

Values are shown as mean ± standard deviation (SD).

^*Statistically significant at p < 0.05.

Figure 1.

Cytokine array analysis of plasma from patients with tic disorders and healthy controls. (A) Schematic diagram of cytokine array coordinates representing 105 different capture antibodies printed in duplicate. (B) Array results for control subjects, and TS, CTD, and PTD patients. Dots representing CCL5, PDGF-AA, and PDGF-AB/BB are highlighted in red, blue and green, respectively.

Figure 2.

Heat map of original derivation sample, comparisons calculated via 1-normal, 2-TS, 3-CTD, 4-PTD. The red, blue, and green boxes are marked with cytokines that differ significantly.

Among the major DECs, CCL5 that ranked in top 3 in all 3 groups of TD patients (Supplementary Table S2) and the two related growth factors, PDGF-AA and PDGF-AB/BB, were selected for further ELISA analysis which confirmed that both CCL5 and PDGF-AA were significantly increased in all 3 groups of TD patients (p < 0.02), and PDGF-BB was significantly augmented in TS and PTD patients (p < 0.05) but not in CTD patients (Figure 3).

Figure 3.

Plots showing the levels of plasma CCL5, PDGF-AA, and PDGF-BB. Plots showing the levels of plasma CCL5 (A), PDGF-AA (B), and PDGF-BB (C) from healthy controls and TD patients (TS, CTD, PTD. (D) ROC curve analysis combining CCL5 in the differential diagnosis between TD and normal. ROC, receiver operating characteristic; AUC, area under the curve.

Correlation analysis of these 3 cytokines and tic severity of all TD patients assessed with the YGTSS were revealed by Pearson's correlation test, no significant correlation was found for any of these cytokines (Figure 4). The predictive power of these three cytokines and the gender of the subjects that also had a significant difference between patients and controls (Table 1) were evaluated by using binary logistic regression analysis, and the result revealed that both gender (p = 0.02) and CCL5 (p = 0.005) significantly contributed to TD development (Table 2).

Figure 4.

The correlations of the levels of plasma CCL5, PDGF-AA, PDGF-BB with tic severity of all TD patients. The correlations of the levels of plasma CCL5 (A), PDGF-AA (B), PDGF-BB (C) with tic severity of all TD patients assessed with the YGTSS.

Table 2.

Analysis of influencing factors in children with TDs.

	OR (95% CI)	p
Gender		0.02*
female	1.00
male	3.79 (1.21–11.88)
CCL5 (pg/ml)	1.005 (1.001–1.008)	0.005*
PDGF-AA (pg/ml)	1.004 (0.99–1.01)	0.12

^*Statistically significant at p < 0.05.

In the case of gender, TD incidence for boys was found to be 3.78 times higher than that for girls in this study (Table 2), which is in line with the reported range of gender preference for TD (17–19). Regarding CCL5, this analysis indicated that an increase of CCL5 concentration by 100 pg/ml caused 50% increase of risk for TD development (OR = 1.005, 95% CI: 1.001–1.008, p = 0.005) (Table 2), suggesting a potential for CCL5 to be a TD risk factor. Finally, we combined all TD patients and control subjects for ROC analysis and found that CCL5 had a significant ROC curve [AUC: 0.801 (95% CI: 0.707–0.895), p < 0.0001] (Figure 3D). These results suggest CCL5 as a promising predictor for the risk of developing TD.

Discussion

Aberrant levels of multiple cytokines have been observed in TD patients in previous studies (8–10). However, to our knowledge, none of these cytokines have been characterized as a risk factor of TDs. In this study we used a commercial cytokine array capable of measuring 105 cytokines to unbiasedly profile differentially expressed cytokines in the plasma from comorbidity-free and drug-naïve TD patients and healthy controls and evaluated their associations with TD development. This assay provides the first set of large-scale cytokine profiling data that can be used as a resource for future studies of TDs from the perspective of cytokines. For the first time, we discover CCL5 and PDGF-AA in TDs as two major elevated cytokines in all 3 groups of TD patients and demonstrate their association with TDs. More importantly, we show that while having no correlation with tic severity, peripheral CCL5 has the potential to be a risk factor for evaluating the predisposition to TD development.

Elevation of CCL5 in the blood have been documented in multiple central nervous system (CNS) diseases, such as Parkinson's disease (20), Alzheimer's disease (21), Multiple sclerosis (22, 23), stroke (24), and Traumatic brain injury (25). Interestingly, up-regulated blood CCL5 has also been identified as a risk factor of ischemic stroke that could predict future stroke events (24). These studies, together with ours, reveal a broad association of blood CCL5 with CNS diseases and start to unravel the emerging role of this chemokine in raising the risk for these diseases.

CCL5 is a CC type of chemokine that is widely expressed by many immune cells such as T lymphocytes, macrophages, and platelets. The best known function of CCL5 is to control activation and chemotaxis of many types of immune cells by engaging its cognate receptors expressing on these cells, primarily CCR5, thereby modulating immune responses (26). In the brain, CCL5 and CCR5 are constitutively expressed in astrocytes and microglia and regulate not only chemotaxis of immune cells but also non-immune cell functions (13, 27, 28). It has long been known that chemokines and their cognate receptors are involved in regulation of glial and neuronal cell functions, and that the interactions between glial cells and neurons and through CCR5 and its ligands, e.g., CCL5, are crucial for maintaining neuronal activities, such as neurotransmitter release, ion channel gating and long-term potentiation (27, 29). For instance, after motor neuron injury CCL5 attenuated excessive production of neurotoxic inflammatory mediators in microglia via CCR5, and CCR5 deficiency accelerated demise of motor neurons in mice, suggesting that the CCL5/CCR5 pathway plays a neuroprotective role in a manner independent of chemotaxis (30, 31). A later study with a mouse model of Parkinson's disease further demonstrated that CCR5 deficiency resulted in lower numbers of dopamine neurons, reduced levels of striatal dopamine, and decreased locomotor activity (29), indicating that the CCL5/CCR5 pathway plays an important role in maintaining striatal dopamine levels by promoting neuron survival.

The CCL5/CCR5 pathway involved in tic disorders remains unclear so far. Pathologically, tic disorders are considered as a disturbed interplay within and between different brain regions, particularly the basal ganglia-cerebellar-thalamo-cortical network (BGCTC) that functions to inhibit undesired actions. It has been shown that the dysfunction of BGCTC plays a critical role in the pathophysiology of tics (32). Moreover, excessive release of striatal dopamine appears to be the reason for the dysfunction of BGCTC in tic patients (33), and dopamine receptor D2 antagonists that can inhibit dopamine-induced effects represent the most efficacious pharmacotherapy of tics in clinic (34). Thus, it is reasonable to speculate that the CCL5/CCR5 pathway may control tic occurrence by modulating the dopamine neuron-striatal dopamine-BGCTC axis.

Nevertheless, the origin of the elevated blood CCL5 levels is unknown. There are at least two possibilities. One is that blood CCL5 comes from the brain where an inflammatory response is going on and a high level of CCL5 is produced to directly disturb the dopamine neuron-striatal dopamine-BGCTC axis, leading to tic symptoms. Meanwhile, the brain-generated CCL5 can somehow leak into the peripheral blood causing elevation of blood CCL5. The other possibility is that the elevation of blood CCL5 is due to diffusion from other inflamed organs/tissues. It remains to be further studied how the increase of blood CCL5 leads to the risk of functional impairment of brain.

Given that chemokines in the peripheral blood by themselves can hardly cross the blood–brain barrier (BBB) that mainly consists of specialized brain microvascular endothelial cells to control the entry of cells and damaging agents from the blood to brain (35), it is unlikely that low-grade elevation of CCL5 in the blood can directly cause significant detrimental effect to the CNS. Interestingly, CCL5 and its cognate receptors, including CCR5, have been shown to involve in the regulation of BBB permeability and immune cells' entry into the brain. By binding to proteoglycans attached to endothelial cells, CCL5 can be immobilized on endothelial surfaces to enable a high local concentration that facilitates its interaction with the receptors expressed by incoming immune cells in the blood (36). Adhesion of the immune cells to EC-immobilized CCL5 leads to signaling events triggering increase of BBB permeability (35). Increase of BBB permeability presumably exacerbates the access of insults that otherwise cannot penetrate the BBB and enter the brain. In support of the importance of CCL5 and its receptors for BBB regulation, animal studies of epilepsy demonstrated that antagonist-based inhibition of CCR5 on blood cells or blocking CCL5 can reduce BBB permeability and mitigate disease severity (35). A very recent in vivo study using highly sensitive radiochemical-based assays showed that circulating CCL5 can be transported across BBB in mice by binding to heparan sulfates at the endothelial surface in a manner independent of CCR2 and CCR5 (37). This finding raises another possibility that circulating CCL5 may exert its regulatory role inside the brain. It is interesting to explore if elevated circulating CCL5 plays a role in reducing BBB permeability or contributing the brain level of CCL5 in the pathogenesis of TDs.

There is evidence that in the brain increased CCL5 can cause pathologic consequences by engaging its cognate receptors CCR5 and CCR1 both of which are expressed on multiple types of cells, such as microglia, astrocytes and neurons (38–41). For example, in a mouse model of intracerebral hemorrhage, CCR5 activation by intracerebroventricularly administrated CCL5 promoted neuronal cell death in the form of inflammatory proptosis, thereby leading to neurological deficits (38). Additionally, CCL5-CCR1-mediated microglial activation in the brain resulted in neurologic deficits and neuroinflammation (42). These animal studies imply that targeting the CCL5-CCR1/5 cascades in the brain could be a promising therapeutic option for neurological diseases associated with CNS.

Based on our findings, we propose that CCL5, and its cognate receptors CCR1/5, could be potential therapeutic targets for TDs. Given the nature of recurring of TDs, pharmaceutical lowering of the level of blood CCL5, attenuation of expression or function of CCR1/5, or inhibition of CCL5-CCR1/5 or CCL5-heparan sulfates interactions, such as by CCL5 antagonist, monoclonal antibodies to CCR1/5, or heparan sulfates competitive inhibitor heparin (37), would hold promise for better risk management of TD relapse.

Due to the limitations to this study that were caused by relatively small numbers and a single cohort of patients, the potential of CCL5 as a risk factor for TD development needs to be validated in multicenter studies of larger cohorts in the future.

Funding Statement

This study was supported by grants from National Key R&D Program of China (2021YFA1301400), Shanghai Municipal Science and Technology Major Project (ZD2021CY001), Shanghai Science and Technology Commission (21ZR1456300), Shanghai Children's Medical Center (LY-SCMC2020-03), and Shanghai Administration of Traditional Chinese Medicine (ZHYY-ZXYJHZX-201918) [H-ZY (2021-2023)-0206-08].

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.

Ethics statement

The studies involving human participants were reviewed and approved by IRB of Shanghai Children's Medical Center Afflicted to Shanghai Jiao Tong University School of Medicine. Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.

Author contributions

XY and KS conceived and supervised the project; HY and JZ performed most of experiments; YD, PY, LL, and JS contributed to the performance of the experiments; HY, YM, ZH and XY analyzed data; HY, XY and KS wrote the manuscript. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

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Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fped.2023.1126839/full#supplementary-material.