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Serum α-synuclein and IL-1β are increased and correlated with measures of disease severity in children with epilepsy: potential prognostic biomarkers?

BMC Neurology volume 20, Article number: 85 (2020) Cite this article

Abstract

Background

The search for noninvasive biomarkers of neuroinflammation and neurodegeneration has focused on various neurological disorders, including epilepsy. We sought to determine whether α-synuclein and cytokines are correlated with the degree of neuroinflammation and/or neurodegeneration in children with epilepsy and with acquired demyelinating disorders of the central nervous system (CNS), as a prototype of autoimmune neuroinflammatory disorders.

Methods

We analyzed serum and exosome levels of α-synuclein and serum proinflammatory and anti-inflammatory cytokines among 115 children with epilepsy and 10 acquired demyelinating disorders of the CNS and compared to 146 controls. Patients were enrolled prospectively and blood was obtained from patients within 48 h after acute afebrile seizure attacks or relapse of neurological symptoms. Acquired demyelinating disorders of the CNS include acute disseminated encephalomyelitis, multiple sclerosis, neuromyelitis optica spectrum disorders, and transverse myelitis. The controls were healthy age-matched children. The serum exosomes were extracted with ExoQuick exosome precipitation solution. Serum α-synuclein levels and serum levels of cytokines including IFN-β, IFN-γ, IL-1β, IL-6, IL-10 and TNF-α were measured using single and multiplex ELISA kits. Data were analyzed and compared with measures of disease severity, such as age at disease onset, duration of disease, and numbers of antiepileptic drug in use.

Results

Serum α-synuclein levels were significantly increased in patients with epilepsy and acquired demyelinating disorders of the CNS compared to controls (both, p < 0.05) and showed correlation with measures of disease severity both in epilepsy (p < 0.05, r = 0.2132) and in acquired demyelinating disorders of the CNS (p < 0.05, r = 0.5892). Exosome α-synuclein showed a significant correlation with serum α-synuclein (p < 0.0001, r = 0.5915). Serum IL-1β levels were correlated only with the numbers of antiepileptic drug used in children with epilepsy (p < 0.001, r = 0.3428), suggesting drug resistant epilepsy.

Conclusions

This is the first study in children demonstrating that serum α-synuclein levels were significantly increased in children with epilepsy and with acquired demyelinating disorders of the CNS and correlated with measures of disease severity. Serum IL-1β levels showed significant correlation only with drug resistance in children with epilepsy. Thus, these data support that serum levels of α-synuclein and IL-1β are potential prognostic biomarkers for disease severity in children with epilepsy.

CNS, central nervous system.

Peer Review reports

Background

Pediatric epilepsy is a chronic brain disorder accompanied by behavioral and cognitive problems, which include intellectual dysfunctions and attention deficits. The International League Against Epilepsy (ILAE) defines epilepsy as a condition in which a patient has “two or more unprovoked seizure attacks occurring at least 1 day apart” [1]. Approximately one-third of patients with epilepsy have drug resistant epilepsy, defined as epilepsy that is not controlled by two antiepileptic medications to sustain seizure freedom [2]. Some children with drug resistant epilepsy may show regression in intellectual abilities over time [3]. The causes of regression may include the etiology of the underlying epilepsy, the spike discharges on electroencephalogram (EEG) outputs, the seizures themselves and a variety of medications [4, 5], but there is no known biomarker for disease severity or neurocognitive comorbidity.

α-Synuclein is one of the most abundant proteins within the neurons of the brain [6,7,8]. This protein is suggested to participate in synaptic transmission by regulating neurotransmitter release and vesicle recycling, also in mitochondrial and synaptic dysfunction and neuronal apoptosis and in Ca2+ homeostasis [9, 10]. Oligomeric forms of α-synuclein have been demonstrated to increase synaptic transmission and to decrease long-term potentiation and certain oligomeric forms were reported to play a key role in the neurodegenerative process [11]. Intracellular deposition of α-synuclein were found in several neurodegenerative diseases presenting with cognitive problems and dementia [12].

α-Synuclein levels have been investigated in patients with various neurological disorders. Soluble oligomeric α-synuclein has been suggested as a potential biomarker for Parkinson’s disease because of its increased plasma levels in patients [13]. Exosome α-synuclein is mostly specific to the CNS and is found increased in patients with Parkinson’s disease [14]. Cerebrospinal fluid (CSF) α-synuclein levels are reported to be elevated in patients with multiple sclerosis and neuromyelitis optica during relapse [15] as well as in traumatic brain injury [16]. Multiple sclerosis and neuromyelitis optica are the main autoimmune inflammatory demyelinating disorders of the CNS during childhood. Chronic autoimmune neuroinflammation is the most important component of the pathology of these diseases and the progressive clinical disability, such as motor dysfunction and cognitive declines [17].

Clinical evidences have shown that neuroinflammation is a hallmark of the epileptic focus in drug-resistant epilepsy [18, 19]. Neuroinflammatory mechanisms contribute to seizure generation in animal models of epilepsy [19]. Substantial effort has been invested in the search for noninvasive biomarkers of neuroinflammation; this search has focused on various neurological disorders including autoimmune neurological diseases, neurocognitive neurodegenerative diseases and neuropsychiatric dysfunction as well as epilepsy [20]. CSF/serum IL-1β levels have been reported as a prognostic factor for epilepsy development after traumatic brain injury [21], and the brain-specific adhesion molecule ICAM5 can be used to discriminate between drug-responsive and drug-resistant epilepsy [22]. In medial temporal lobe epilepsy, α-synuclein deposition has been found in the hippocampus along with neuronal cell loss and reactive gliosis [23]. Adult patients with intractable epilepsy showed elevated α-synuclein levels in both CSF and serum [24]. However, there are no reports about α-synuclein levels in children with epilepsy, who usually have earlier disease onset and are more likely to develop intellectual disability and behavioral problems.

We aimed to determine whether serum and exosomal levels of α-synuclein and cytokines are correlated with degrees of neuroinflammation and neurodegeneration in children with epilepsy and a prototypical class of neuroinflammatory disorders, namely, acquired demyelinating disorders of the CNS. For this purpose, we analyzed serum and exosomal levels of α-synuclein and serum proinflammatory and anti-inflammatory cytokines among children with epilepsy and acquired demyelinating disorders of the CNS and compared to controls.

Methods

Patient information

We prospectively enrolled 115 epilepsy patients having afebrile seizure attacks within the last 48 h before visiting the pediatric neurology clinic of Seoul National University Boramae Medical Center. Epilepsy was diagnosed and classified according to the criteria established in the 2017 International Classification of Epileptic Syndromes [25]. Children with epilepsy underwent examinations that included medical history, physical and neurological examinations, electroencephalograms, blood tests (including metabolic and autoimmune studies) and brain magnetic resonance imaging (MRI). Autoimmune epilepsy, neonatal seizures, infantile spasms, posttraumatic epilepsy and post-encephalitic epilepsy were excluded. Ten patients with acquired demyelinating disorders of the CNS were included and diagnosed according to the revised definitions proposed by the International Pediatric Multiple Sclerosis Study Group [26]. Acquired demyelinating disorders of the CNS include acute disseminated encephalomyelitis (ADEM), multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), and transverse myelitis (TM) [26]. MS were diagnosed based on the criteria proposed in 2010 by McDonald [27] and NMOSD were diagnosed based on the 2015 Wingerchuk diagnostic criteria [28]. TM were diagnosed based on the 2013 International Pediatric Multiple Sclerosis Study Group criteria for TM [26]. Among ADEM, MS, NMO and TM, blood tests were performed two to five times in a patient at the time of relapse or worsening of symptoms to measure differences from the initial attack and relapse; each test was counted as separate and compared serially with the disease duration. So, total numbers of tests were 18 times, and we analyzed each tests individually. For correlation analysis of serum α-synuclein and cytokine levels with measures of disease severity, we quantified disease severity using the age of disease onset, the duration of disease, the duration of the last seizure before the blood collection and the number of antiepileptic medications in patients with epilepsy and the age of disease onset and the duration of disease in patients with acquired demyelinating disorders of the CNS. The 146 controls were healthy age-matched children who visited headache clinics for routine workup but did not have acute current headache attacks or any history of febrile seizures, epilepsy, or acquired demyelinating disorders of the CNS. This study was approved by the Institutional Review Board at the Seoul National University Boramae Medical Center. Informed written consent was obtained from the parent of each child, and verbal assent was obtained from each child or adolescent.

Serum and exosome purification

Blood was obtained from patients within 48 h after acute seizure attacks or relapse of neurologic symptoms such as visual loss or sudden motor deficits. Serum was separated and frozen for subsequent cytokine and α-synuclein assays. Control blood serum was collected and frozen as above.

The serum exosomes were extracted with ExoQuick exosome precipitation solution (System Biosciences, CA, USA) [29]. Briefly, the serum was centrifuged at 3000 g at 4 °C for 15 min. Then, the supernatant and one-fourth of its volume in ExoQuick Solution were mixed well and incubated at 4 °C. After 2 h, the mixture was centrifuged for 30 min at 1500 g, after which the pellet was dissolved and re-centrifuged for 5 min at 4 °C. The exosome-containing pellet was re-suspended in nuclease-free water.

α-Synuclein and cytokine measurement

Serum α-synuclein levels were measured using commercially available enzyme-linked immunosorbent assay (ELISA) kits (Thermo Scientific, Waltham, MA [24]). Serum levels of cytokines including interferon (IFN)-β, IFN-γ, interleukin (IL)-1β, IL-6, IL-10 and tumor necrosis factor (TNF)-α were measured using commercially available multiplex kits (Merck, Darmstadt, Germany) according to the manufacturer’s instructions. Samples were analyzed in duplicate and compared with controls. The lower limits of detection were 0.2 ng/mL for α-synuclein, 115.1 pg/ml for IFN-β, 0.8 pg/ml IFN-γ, 0.8 pg/mL for IL-1β, 0.9 pg/mL for IL-6, 1.1 pg/mL for IL-10 and 0.7 pg/mL for TNF-α.

Statistical analysis

The data are presented as the mean ± 1 standard deviation (SD) (α-synuclein and cytokine levels). The Mann-Whitney test was used to compare the serum levels of α-synuclein and cytokines in patients with epilepsy and acute demyelinating disorders of the CNS versus controls. The Kruskal-Wallis test was used to compare serum or exosomal levels of α-synuclein between all patients and controls. Spearman’s rank correlation coefficient was calculated to detect significant correlations of α-synuclein levels and other cytokines or clinical variables with disease severity in the patient groups. GraphPad Prism v. 7.0 for Windows version 7.03 (GraphPad Software Inc., San Diego, CA, USA) was used to perform the above tests. Values are expressed as the means, and the threshold for statistical significance was set as p < 0.05 for all tests.

Results

Patient characteristics

The demographic and clinical features of the patients are shown in Table 1. One hundreds fifteen epilepsy patients, 10 patients with acquired demyelinating disorders of the CNS and 146 control children were included in this study. Numbers of tests done in children with acquired demyelinating disorders of the CNS were counted as 18 because several tests were done in same patients during relapse of neurological symptoms. Then mean age at time of tests were 8.9 years old in patients with epilepsy and 8.1 years old in patients with acquired demyelinating disorders of the CNS. The mean age at the time of tests were 9.4 years old in controls and showed no significant statistical differences. Mean duration of diseases were 3.1 years in epilepsy and 2.1 years in acquired demyelinating disorders of the CNS. Types and etiologies in the epilepsy patients are shown in Table 2. Etiologies of epilepsy were 3% structural, 10% genetic and 87% unknown. Duration of epilepsy were less than 1 year in 55% of patients, and 34% of patients had more than 3 years. The mean duration of the last seizure before the blood collection were 8.2 min and 72% were less than 5 min. 60% of patients had been controlled epilepsy under 1 anti-epileptic medications but 25% of patients had taken more than 3 anti-epileptic medications to control seizures. Patients with acquired demyelinating disorders of the CNS include 2 with ADEM, 1 with relapsing–remitting MS, 3 with NMO and 2 with TM (Table 3). One MS, 2 NMO and 1 TM patient were tested two to five times when their neurological symptoms were aggravated or relapsing; therefore, the total number of tests was counted as 18 (Table 1 and Table 3). Repeated tests were performed in one MS (3 times), 2 NMOSD (2 times and 5 times) and 1 TM (3 times) at the time of relapse or worsening of symptoms (Table 3).

Table 1 Demographic characteristics of the patients
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Table 2 Characteristics of children with epilepsy
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Table 3 Characteristics of acquired demyelinating disorders of the central nervous system in children
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Serum α-synuclein was significantly increased in patients with epilepsy and acquired demyelinating disorders of the CNS and was correlated with measures of disease severity

Serum α-synuclein levels were significantly increased in patients with epilepsy and acquired demyelinating disorders of the CNS compared to controls (Tables 4, 9.5 and 11.2 vs 8.0 ng/ml, both p < 0.05). Serum α-synuclein levels were significantly different in patients with epilepsy and acquired demyelinating disorders of the CNS compared to controls, in three group comparisons (Fig. 1 (A), p < 0.05). In the subgroup of acquired demyelinating disorders of the CNS, serum α-synuclein was 13.7 ng/ml in NMO, 11.0 ng/ml in MS, 10.8 ng/ml in TM and 9.5 ng/ml in ADEM compared to 8.0 ng/ml in controls (Table 3).

Table 4 Comparisons of serum α-synuclein and cytokines between epilepsy, acquired demyelinating disorders of CNS and controls
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Fig. 1
figure 1

Correlation of serum and exosome α-synuclein with measures of disease severity in epilepsy and acquired demyelinating disorders of CNS. (a-b) Mean α-synuclein levels from serum (a) and exosomal extracts (b) in patients with epilepsy (N = 115), acquired demyelinating disorders of the central nervous system (N = 18) and controls (N = 146). Acquired demyelinating disorders of the central nervous system include acute disseminated encephalomyelitis, neuromyelitis optica spectrum disorder, multiple sclerosis and transverse myelitis. (a) Mean serum α-synuclein levels showed significant differences in patients with epilepsy and acquired demyelinating disorders of the CNS compared to controls (p = 0.0103). (b) Serum α-synuclein levels showed a significant positive correlation with the number of antiepileptic drugs used by epilepsy patients (p = 0.0222, r = 0.2132). (c) Serum α-synuclein levels showed a significant positive correlation with the duration of disease in patients with acute demyelinating disorders of the CNS (p = 0.0374, r = 0.5892). (d) Mean exosomal α-synuclein levels were not significantly different in patients with epilepsy or acquired demyelinating disorders of the central nervous system compared to controls (p = 0.2341). (e-f) Correlation of exosome α-synuclein levels with serum α-synuclein levels (e) and with serum IL-6 levels (f) in combined groups of patients with epilepsy (N = 115) plus patients with acquired demyelinating disorders of the CNS (N = 18) and controls (N = 146). (e) Exosome α-synuclein levels showed a significant correlation with serum α-synuclein positively (p < 0.0001, r = 0.5915). (f) Exosomal α-synuclein levels showed significant correlation with serum IL-6 levels positively (p = 0.0334, r = 0.1349). Ds, disorders; No, numbers; AED, antiepileptic drugs; CNS, central nervous system; IL, interleukin

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Correlation analysis between serum α-synuclein and disease severity revealed that the number of antiepileptic medications and the duration of last seizure before the blood collection were correlated with serum α-synuclein and IL-6 levels in patients with epilepsy (Table 5 and Fig. 1 (B) & 3 (C); p < 0.05, r = 0.2132 and p < 0.05, r = 0.1884). In patients with acquired demyelinating disorders of the CNS, the duration of diseases was positively correlated with serum α-synuclein levels (Table 5 and Fig. 1 (C), p < 0.05, r = 0.5892). However, the age of disease onset did not correlate with serum α-synuclein levels in patients with epilepsy (Table 5, p = 0.6352) or with acquired demyelinating disorders of the CNS (Table 5, p = 0.4864).

Table 5 Correlations of serum α-synuclein and cytokines with measures of disease severity in epilepsy and acquired demyelinating disorders of CNS
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Serum α-synuclein did not showed significant correlation with serum levels of IFN-β, IFN-γ, IL-1β, IL-6, IL-10 and TNF-α in patients with epilepsy and acquired demyelinating disorders of the CNS.

Exosomal α-synuclein correlated with serum α-synuclein and serum IL-6 levels in patients with epilepsy and acquired demyelinating disorders of the CNS

Exosomal α-synuclein levels are increased in patients with epilepsy and acquired demyelinating disorders of the CNS compared with controls, although the difference was not statistically significant (Fig. 1 (D), p = 0.2341). Exosomal α-synuclein levels were higher in epilepsy and acquired demyelinating disorders of the CNS compared to controls (1.4 and 1.1 vs 0.8 ng/ml, p = 0.3828 and p = 0.1168), although neither difference was statistically significant. Exosomal levels of α-synuclein showed a significant correlation with serum levels of α-synuclein in patients with epilepsy and acquired demyelinating disorders of the CNS (Fig. 1 (E), p < 0.0001, r = 0.5915). Additionally, exosomal α-synuclein showed correlation with serum IL-6 levels in patients with epilepsy and acquired demyelinating disorders of the CNS (Fig. 1 (E), p < 0.05, r = 0.1349). However, exosomal α-synuclein levels did not show a significant correlation with the measures of disease severity, such as number of antiepileptic medication and duration of disease, both in patients with epilepsy and with acquired demyelinating diseases of the CNS (Table 5).

Serum cytokine profiles and correlation with the measures of disease severity

Negative correlation of serum levels of IFN-r, IL-1β, IL-6 and IL-10 with the age of disease onset in pediatric epilepsy patients with seizure attack within 48 h

Serum levels of proinflammatory cytokines, IL-6 and TNF-α were significantly increased in pediatric epilepsy patients with acute afebrile seizure attacks within 48 h compared to controls (Tables 4, 4.2 vs 0.9 pg/ml for IL-6, p < 0.05; 14.3 vs 10.2 pg/ml for TNF-α, p < 0.05). The anti-inflammatory cytokine IL-10 was also significantly increased compared to the controls (Tables 4, 9.2 vs 4.0 pg/ml, p < 0.0001). Serum levels of IFN-β, IFN-γ and IL-1β were higher compared to controls, although the differences were not statistically significant (Tables 4, 475.5 vs 397.5 for IFN-β, p = 0.0646; 4.6 vs 3.5 for IFN-γ, p = 0.178; 3.5 vs 0.5 pg/ml for IL-1β, p = 0.1038).

Correlation analysis between serum cytokine levels and disease severity revealed that age at disease onset showed significant correlation negatively with serum levels of IFN-r, IL-1β, IL-6 and IL-10, indicating that the younger the patients were at disease onset, the more higher their cytokine levels to acute symptom of seizures (Table 5 and Fig. 2 (A-D), p < 0.0001, r = − 0.4197 for IFN-γ, p = 00110, r = − 0.2545 for IL-1β; p = 0.0066, r = − 0.2714 for IL-6; p = 0.0041, r = − 0.2864 for IL-10).

Fig. 2
figure 2

Correlation of serum levels of cytokines with age of disease onset in patients with epilepsy. (a-d) Correlation of serum levels of IL-1β (a), IL-6 (b), IFN-γ (c) and IL-10 (d) with age of disease onset in patients with epilepsy (N = 115). (a) Serum levels of IL-1β showed a significant negative correlation with age of disease onset in children with epilepsy (p = 0.0110, r = − 0.2545). (b) Serum levels of IL-6 showed a significant negative correlation with age of disease onset in children with epilepsy (p = 0.0066, r = − 0.2714). (c) Serum levels of IFN-γ showed a significant negative correlation with age of disease onset in children with epilepsy (p < 0.0001, r = − 0.4197). (d) Serum levels of IL-10 showed a significant negative correlation with age of disease onset in children with epilepsy (p = 0.0041, r = − 0.2864). IL, interleukin; IFN, interferon

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Positive correlation of serum levels of IL-1β and IFN-γ with numbers of antiepileptic medication and IL-6 with duration of last seizure before the blood collection in pediatric epilepsy patients with seizure attack within 48 h

The numbers of antiepileptic drug showed significant correlation with serum levels of IL-1β and IFN-γ, positively (Table 5; Fig. 3 (A), p < 0.001, r = 0.3428 for IL-1β; Fig. 3 (B), p < 0.05, r = 0.2288 for IFN-γ). Disease durations in patients with epilepsy showed no significant correlation with serum levels of cytokines (Table 5). The duration of last seizure before the blood collection showed significant correlation with serum levels of IL-6, positively (Table 5; Fig. 3 (D), p < 0.05, r = 0.2773).

Fig. 3
figure 3

Correlation of serum α-synuclein with measures of the disease severity in epilepsy and acquired demyelinating disorders of CNS. (a-b) Correlation between the numbers of antiepileptic drug and serum levels of IL-1β (a) and IFN-γ (b). (a) Serum IL-1β levels showed a significant positive correlation with the numbers of antiepileptic drug taken for control of seizures in children with epilepsy (p = 0.0005, r = 0.3428). (b) Serum IFN-r levels showed a significant positive correlation with the numbers of antiepileptic drug for control of seizures in children with epilepsy (p = 0.0235, r = 0.2288)

(c-d) Correlation between the duration of last seizure before the blood collection and serum levels of α-synuclein (c) and IL-6 (d). (a) Serum α-synuclein levels showed a significant positive correlation with the duration of last seizure before the blood collection in children with epilepsy (p = 0.0438, r = 0.1884). (b) Serum IL-6 levels showed a significant positive correlation with the duration of last seizure before the blood collection in children with epilepsy (p = 0.0057, r = 0.2773). CNS, central nervous system; No, numbers; AED, numbers of anti-epileptic drug; IL, interleukin; IFN, interferon; sz, seizure.

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Increased serum IL-10 levels and negative correlation of serum IL-6 levels with age of disease onset in patients with acquired demyelinating disorders of the CNS

The serum IL-10 level was significantly increased in patients with acquired demyelinating disorders of the CNS compared to controls (Tables 4, 17.7 vs 4.0 pg/ml, p < 0.05). Serum levels of IFN-β, IFN-γ, and IL-6 were increased compared to controls, although the difference was not statistically significant (Tables 4, 814.9 vs 397.5 for IFN-β, 6.1 vs 3.5 for IFN-r, 7.0 vs 0.9 for IL-6). Other proinflammatory cytokines, including IL-1β and TNF-α, did not differ from the controls (Table 4).

Correlation analysis between serum cytokine levels and disease severity revealed that the age of disease onset was significantly correlated with serum levels of IL-6, which indicates that the younger the more aggravated cytokine responses to acute symptoms or relapse (Table 5, p = 0.0429, r = − 0.6272). The disease durations did not show significant correlation with serum levels of cytokines in patients with acquired demyelinating disorders of the CNS (Table 5).

Discussion

This is the first study demonstrating that serum α-synuclein levels were significantly increased in children with epilepsy and acquired demyelinating disorders of the CNS and correlated with the measures of disease severity, suggesting neurodegenerative process. Exosome α-synuclein levels, probably CNS-derived, are correlated with serum levels of α-synuclein and IL-6. Serum levels of the proinflammatory cytokine IL-1β showed significant correlation with the measures of disease severity only in children with epilepsy but not in acquired demyelinating disorders in the CNS, implicating IL-1β as a potential prognostic biomarker for childhood epilepsy as ongoing neuroinflammation. Serum levels of IFN-γ, IL-1β, IL-6 and IL-10 showed negative correlation with age of disease onset in pediatric epilepsy patients, suggesting that younger patients demonstrated higher inflammatory responses to afebrile seizure attacks. Thus, these data suggest that serum levels of IL-1β are potential prognostic biomarker specific for children with epilepsy and serum levels of α-synuclein are a potential prognostic biomarker for both drug resistant epilepsy and acquired demyelinating disorders of the CNS in children.

Many molecules and pathways are activated after acute brain injuries, such as cerebrovascular damage, infections, seizures and traumatic brain injury, often leading to the development of chronic neuroinflammation not only in typical neuroinflammatory disorders such as multiple sclerosis and acute disseminated encephalomyelitis but also in epilepsies [19, 30, 31]. Childhood is the most common period for a variety of infections. Interestingly, the proinflammatory cytokines IFN-γ, IL-1β and IL-6 were negatively correlated with the age of disease onset in children with epilepsy, suggesting that younger patients demonstrated a more aggravated inflammatory response to recent seizure attacks. This childhood tendency toward hyper-responsiveness to acute seizure attacks may aggravate the proinflammatory response to diverse insults, such as infection, trauma and even febrile seizures, and may cause sustained neuroinflammation leading to epilepsy.

IL-1β is one of the most important proinflammatory cytokines produced in the CNS by activated microglia and astrocytes, as well as by macrophages and other immune cells in the periphery. IL-1β upregulates excitatory glutamatergic neurotransmission and lowers inhibitory gamma-aminobutyric acid (GABA)-mediated currents [32]. In experimental animals, IL-1β injection prolongs the duration of electroencephalographic seizure [33]. Epileptogenesis is a continuing process that begins before the first seizure and continues after epilepsy diagnosis. Considerable effort has been devoted to the search for biomarkers of epilepsy or ongoing epileptogenesis, including blood, brain imaging, electrophysiology and pathology [34, 35]. In traumatic brain injury, CSF/serum levels of IL-1β and IL-1β genetic variants were reported as prognostic factors for posttraumatic epilepsy risk in humans [21]. In our study, serum IL-1β levels within 48 h after afebrile seizure attacks showed correlation with the numbers of antiepileptic drugs being used by children with epilepsy. An increase in the number of antiepileptic drugs suggests drug resistance in patients, so the increase in serum IL-1β may correlate with drug resistance or with ongoing epileptogenesis or neuroinflammation. Interestingly, serum IL-1β did not correlate with the measure of disease severity in children with acquired demyelinating disorders of the CNS, the prototype of autoimmune neuroinflammation. Thus, serum IL-1β may be specific to neuroinflammation for epilepsy development, implicating it as a prognostic biomarker for epilepsy.

Expression of α-synuclein is increased during epileptogenesis [23, 36]. Status epilepticus triggers an increase of α-synuclein expression in the dentate gyrus of animal models with pilocarpine-induced epilepsy [23] and in the hippocampus of patients with mesial temporal lobe epilepsy [36]. In our study, serum α-synuclein was significantly increased in children with epilepsy and with acquired demyelinating disorders of the CNS, the prototype of autoimmune neuroinflammatory disorders of the CNS in childhood. Moreover, serum α-synuclein levels were positively correlated with measures of disease severity for both epilepsy and acquired disorders of the CNS, implying that serum α-synuclein is a potential prognostic biomarker of neurodegenerative processes. Serum levels of α-synuclein were also correlated with exosome α-synuclein levels, the presumptive fraction from the CSF. Moreover, exosomal α-synuclein levels showed significant correlation with serum IL-6 levels in children with epilepsy and acquired demyelinating disorders of the CNS. And the longer the duration of seizure, the higher serum IL-6 levels was in our children with epilepsy. In human astrocyte cell lines, α-synuclein can directly stimulate astrocyte production of IL-6 [37]. Astrocytes are a major source of proinflammatory cytokines, such as IL-1β and IL-6, even causing neurotoxicity. Therefore, correlation between the serum IL-6 levels and exosomal α-synuclein supports the viscous neurotoxicity cycle of neuroinflammation in epilepsy patients. Although exosome α-synuclein levels did not show a significant correlation with the measure of disease severity in patients with epilepsy and with acquired demyelinating disorders of the CNS in our study, probably due to the small number of patients available exosome fraction of serum. The sensitivity of the method used to extract exosomes from the peripheral blood could be problematic, and these commercially available methods are not free from protein contamination and may affect the properties of the exosomes [38].

In recent studies of children with autism spectrum disorder [39] and with attention-deficit/hyperactivity disorder, serum α-synuclein levels are reported to be low or no changes compared to controls [40]. Therefore serum α-synuclein levels may suggest neurodegenerative process related with neuroinflammation in children.

Our study has some limitations. First, a relatively small number of patients were enrolled, especially children with acquired demyelinating disorders of the CNS, as positive controls. Second, α-synuclein exists in several different forms, such as oligomeric, phosphorylated and total forms; however, we measured only the total form. Third, exosome α-synuclein should be measured by a more accurate method to increase sensitivity. Fourth, to distinguish neuroinflammation or neurodegeneration, such as neurocognitive dysfunction, neurocognitive tests for children with epilepsy at the time of initial and follow-ups must be conducted and compared with serum levels of α-synuclein and IL-1β.

Conclusions

In summary, we demonstrated that serum levels of α-synuclein were significantly increased both in children with epilepsy and with acquired demyelinating disorders of the CNS and that serum α-synuclein was correlated with measures of disease severity. Serum levels of IL-1β showed a significant correlation with measures of disease severity only in children with epilepsy but not in those with acute demyelinating disorders of the CNS. Thus, these data support that serum α-synuclein are potential prognostic biomarkers for disease severity in children with epilepsy and acquired demyelinating disorders of the CNS and serum IL-1β is a specific biomarker for drug-resistance in children with epilepsy. However, further studies including larger sample sizes and neurocognitive testing are needed to confirm the usefulness of serum α-synuclein and IL-1β as prognostic biomarkers for epilepsy.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ADEM:

acute disseminated encephalomyelitis

CNS:

central nervous system

CSF:

Cerebrospinal fluid

EEG:

electroencephalogram

ELISA:

enzyme-linked immunosorbent assay

GABA:

gamma-aminobutyric acid

ICAM:

Intercellular Adhesion Molecule

IFN:

interferon

IL:

interleukin

ILAE:

International League Against Epilepsy

MRI:

magnetic resonance imaging

NMOSD:

neuromyelitis optica spectrum disorder

SD:

standard deviation

TM:

transverse myelitis

TNF:

tumor necrosis factor

References

  1. Thurman DJ, Beghi E, Begley CE, Berg AT, Buchhalter JR, Ding D, et al. Standards for epidemiologic studies and surveillance of epilepsy. Epilepsia. 2011;52(Suppl 7):2–26.

    CAS  Article  Google Scholar 

  2. Kwan P, Arzimanoglou A, Berg AT, Brodie MJ, Allen Hauser W, Mathern G, et al. Definition of drug resistant epilepsy: consensus proposal by the ad hoc task force of the ILAE commission on therapeutic strategies. Epilepsia. 2010;51(6):1069–77.

    CAS  Article  Google Scholar 

  3. Camfield P, Camfield C. Regression in children with epilepsy. Neurosci Biobehav Rev. 2019;96:210–8.

    Article  Google Scholar 

  4. Camacho A, Espin JC, Nunez N, Simon R. Levetiracetam-induced reversible autistic regression. Pediatr Neurol. 2012;47(1):65–7.

    Article  Google Scholar 

  5. Berg AT, Smith SN, Frobish D, Beckerman B, Levy SR, Testa FM, et al. Longitudinal assessment of adaptive behavior in infants and young children with newly diagnosed epilepsy: influences of etiology, syndrome, and seizure control. Pediatrics. 2004;114(3):645–50.

    Article  Google Scholar 

  6. Nakai M, Fujita M, Waragai M, Sugama S, Wei J, Akatsu H, et al. Expression of alpha-synuclein, a presynaptic protein implicated in Parkinson's disease, in erythropoietic lineage. Biochem Biophys Res Commun. 2007;358(1):104–10.

    CAS  Article  Google Scholar 

  7. Barbour R, Kling K, Anderson JP, Banducci K, Cole T, Diep L, et al. Red blood cells are the major source of alpha-synuclein in blood. Neurodegener Dis. 2008;5(2):55–9.

    CAS  Article  Google Scholar 

  8. Iwai A, Masliah E, Yoshimoto M, Ge N, Flanagan L, de Silva HA, et al. The precursor protein of non-a beta component of Alzheimer’s disease amyloid is a presynaptic protein of the central nervous system. Neuron. 1995;14(2):467–75.

    CAS  Article  Google Scholar 

  9. Murphy DD, Rueter SM, Trojanowski JQ, Lee VM. Synucleins are developmentally expressed, and alpha-synuclein regulates the size of the presynaptic vesicular pool in primary hippocampal neurons. J Neurosci. 2000;20(9):3214–20.

    CAS  Article  Google Scholar 

  10. Adamczyk A, Strosznajder JB. Alpha-synuclein potentiates Ca2+ influx through voltage-dependent Ca2+ channels. Neuroreport. 2006;17(18):1883–6.

    CAS  Article  Google Scholar 

  11. Martin ZS, Neugebauer V, Dineley KT, Kayed R, Zhang W, Reese LC, et al. Alpha-Synuclein oligomers oppose long-term potentiation and impair memory through a calcineurin-dependent mechanism: relevance to human synucleopathic diseases. J Neurochem. 2012;120(3):440–52.

    CAS  Article  Google Scholar 

  12. Barker RA, Williams-Gray CH. Review: the spectrum of clinical features seen with alpha synuclein pathology. Neuropathol Appl Neurobiol. 2016;42(1):6–19.

    CAS  Article  Google Scholar 

  13. El-Agnaf OM, Salem SA, Paleologou KE, Curran MD, Gibson MJ, Court JA, et al. Detection of oligomeric forms of alpha-synuclein protein in human plasma as a potential biomarker for Parkinson's disease. FASEB J. 2006;20(3):419–25.

    CAS  Article  Google Scholar 

  14. Shi M, Liu C, Cook TJ, Bullock KM, Zhao Y, Ginghina C, et al. Plasma exosomal alpha-synuclein is likely CNS-derived and increased in Parkinson's disease. Acta Neuropathol. 2014;128(5):639–50.

    CAS  Article  Google Scholar 

  15. Wang H, Wang K, Xu W, Wang C, Qiu W, Zhong X, et al. Cerebrospinal fluid alpha-synuclein levels are elevated in multiple sclerosis and neuromyelitis optica patients during replase. J Neurochem. 2012;122(1):19–23.

    Article  Google Scholar 

  16. Su E, Bell MJ, Wisniewski SR, Adelson PD, Janesko-Feldman KL, Salonia R, et al. Alpha-Synuclein levels are elevated in cerebrospinal fluid following traumatic brain injury in infants and children: the effect of therapeutic hypothermia. Dev Neurosci. 2010;32(5–6):385–95.

    CAS  PubMed  PubMed Central  Google Scholar 

  17. Lassmann H. Axonal and neuronal pathology in multiple sclerosis: what have we learnt from animal models. Exp Neurol. 2010;225(1):2–8.

    Article  Google Scholar 

  18. Choi J, Koh S. Role of brain inflammation in epileptogenesis. Yonsei Med J. 2008;49(1):1–18.

    Article  Google Scholar 

  19. Vezzani A, French J, Bartfai T, Baram TZ. The role of inflammation in epilepsy. Nat Rev Neurol. 2011;7(1):31–40.

    CAS  Article  Google Scholar 

  20. Pitkanen A, Loscher W, Vezzani A, Becker AJ, Simonato M, Lukasiuk K, et al. Advances in the development of biomarkers for epilepsy. Lancet Neurol. 2016;15(8):843–56.

    CAS  Article  Google Scholar 

  21. Diamond ML, Ritter AC, Failla MD, Boles JA, Conley YP, Kochanek PM, et al. IL-1beta associations with posttraumatic epilepsy development: a genetics and biomarker cohort study. Epilepsia. 2014;55(7):1109–19.

    CAS  Article  Google Scholar 

  22. Pollard JR, Eidelman O, Mueller GP, Dalgard CL, Crino PB, Anderson CT, et al. The TARC/sICAM5 ratio in patient plasma is a candidate biomarker for drug resistant epilepsy. Front Neurol. 2012;3:181.

    PubMed  Google Scholar 

  23. Li A, Choi YS, Dziema H, Cao R, Cho HY, Jung YJ, et al. Proteomic profiling of the epileptic dentate gyrus. Brain Pathol. 2010;20(6):1077–89.

    CAS  Article  Google Scholar 

  24. Rong H, Jin L, Wei W, Wang X, Xi Z. Alpha-synuclein is a potential biomarker in the serum and CSF of patients with intractable epilepsy. Seizure. 2015;27:6–9.

    Article  Google Scholar 

  25. Scheffer IE, Berkovic S, Capovilla G, Connolly MB, French J, Guilhoto L, et al. ILAE classification of the epilepsies: position paper of the ILAE Commission for Classification and Terminology. Epilepsia. 2017;58(4):512–21.

    Article  Google Scholar 

  26. Krupp LB, Tardieu M, Amato MP, Banwell B, Chitnis T, Dale RC, et al. International pediatric multiple sclerosis study group criteria for pediatric multiple sclerosis and immune-mediated central nervous system demyelinating disorders: revisions to the 2007 definitions. Mult Scler. 2013;19(10):1261–7.

    Article  Google Scholar 

  27. Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol. 2011;69(2):292–302.

    Article  Google Scholar 

  28. Wingerchuk DM, Banwell B, Bennett JL, Cabre P, Carroll W, Chitnis T, et al. International consensus diagnostic criteria for neuromyelitis optica spectrum disorders. Neurology. 2015;85(2):177–89.

    Article  Google Scholar 

  29. Zhou J, Chen L, Chen B, Huang S, Zeng C, Wu H, et al. Increased serum exosomal miR-134 expression in the acute ischemic stroke patients. BMC Neurol. 2018;18(1):198.

    CAS  Article  Google Scholar 

  30. Choi J, Min HJ, Shin JS. Increased levels of HMGB1 and pro-inflammatory cytokines in children with febrile seizures. J Neuroinflammation. 2011;8:135.

    CAS  Article  Google Scholar 

  31. Choi J, Nordli DR Jr, Alden TD, DiPatri A Jr, Laux L, Kelley K, et al. Cellular injury and neuroinflammation in children with chronic intractable epilepsy. J Neuroinflammation. 2009;6:38.

    Article  Google Scholar 

  32. Dube C, Vezzani A, Behrens M, Bartfai T, Baram TZ. Interleukin-1beta contributes to the generation of experimental febrile seizures. Ann Neurol. 2005;57(1):152–5.

    CAS  Article  Google Scholar 

  33. Vezzani A, Conti M, De Luigi A, Ravizza T, Moneta D, Marchesi F, et al. Interleukin-1beta immunoreactivity and microglia are enhanced in the rat hippocampus by focal kainate application: functional evidence for enhancement of electrographic seizures. J Neurosci. 1999;19(12):5054–65.

    CAS  Article  Google Scholar 

  34. Terrone G, Salamone A, Vezzani A. Inflammation and epilepsy: preclinical findings and potential clinical translation. Curr Pharm Des. 2017;23(37):5569–76.

    CAS  Article  Google Scholar 

  35. Pitkanen A, Ekolle Ndode-Ekane X, Lapinlampi N, Puhakka N. Epilepsy biomarkers - toward etiology and pathology specificity. Neurobiol Dis. 2019;123:42–58.

    CAS  Article  Google Scholar 

  36. Yang JW, Czech T, Felizardo M, Baumgartner C, Lubec G. Aberrant expression of cytoskeleton proteins in hippocampus from patients with mesial temporal lobe epilepsy. Amino Acids. 2006;30(4):477–93.

    CAS  Article  Google Scholar 

  37. Klegeris A, Giasson BI, Zhang H, Maguire J, Pelech S, McGeer PL. Alpha-synuclein and its disease-causing mutants induce ICAM-1 and IL-6 in human astrocytes and astrocytoma cells. FASEB J. 2006;20(12):2000–8.

    CAS  Article  Google Scholar 

  38. Wang L, Bruce TF, Huang S, Marcus RK. Isolation and quantitation of exosomes isolated from human plasma via hydrophobic interaction chromatography using a polyester, capillary-channeled polymer fiber phase. Anal Chim Acta. 2019;1082:186–93.

    CAS  Article  Google Scholar 

  39. Sriwimol W, Limprasert P. Significant changes in plasma alpha-Synuclein and Beta-Synuclein levels in male children with autism Spectrum disorder. Biomed Res Int. 2018;2018:4503871.

    Article  Google Scholar 

  40. Cetin I, Simsek S. A preliminary study on investigation of serum alpha-Synuclein and tau protein levels in children with attention deficit hyperactivity disorder. Indian J Clin Biochem. 2017;32(3):285–91.

    CAS  Article  Google Scholar 

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Acknowledgements

Not applicable.

Funding

The analysis of cytokines was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2016R1A2B4009438), the Seoul National University Hospital Research Fund (No. 03–2015-0120), and the analysis of α-synuclein and exosomal analysis were supported by the Seoul National University Boramae Hospital Research Fund (No. 03–2013-8 and 01–2014-11) to JC1. The correlation analysis of cytokines and α-synuclein were supported by grants from the NRF funded by the Korean government (MEST) (No. 2017R1A2B3006704 and 2019R1A6A1A03032869) to JS. The role of the funding bodies is data collection, data analysis and document retrieval.

Author information

Affiliations

  1. Department of Pediatrics, Seoul National University College of Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Boramaero 5 gil 20, Dongjakgu, Seoul, 07061, South Korea

    Jieun Choi & Eun Young Kim

  2. Department of Pediatrics, Pediatric Clinical Neuroscience Center, Seoul National University Children’s Hospital, Seoul National University College of Medicine, Seoul, South Korea

    Soo Yeon Kim, Byung Chan Lim, Jong Hee Chae & Ki Joong Kim

  3. Department of Pediatrics, Seoul National University Bundang Hospital, Seoul, South Korea

    Hunmin Kim & Hee Hwang

  4. Department of Biostatistics, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea

    Sohee Oh

  5. Department of Microbiology, Brain Korea 21 Plus Project for Medical Science, Severance Biomedical Science Institute and Institute for Immunology and Immunological Diseases, Yonsei University College of Medicine, 50-1 Yonsei-ro Seodaemoon-gu Seoul, Seoul, 03722, South Korea

    Jeon-Soo Shin

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  1. Jieun Choi
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  2. Soo Yeon Kim
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  3. Hunmin Kim
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  7. Ki Joong Kim
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  8. Sohee Oh
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  9. Eun Young Kim
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  10. Jeon-Soo Shin
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Contributions

JC1 and JS conceived of the study and designed the experiments. SK, HK, BL, HH, JC2 and KK treated the patients and interpreted the patient data. JC1 and JS and wrote the manuscript. EK and JC1 performed the experiments. SO and JS analyzed the data. All authors read and approved final manuscript.

Corresponding authors

Correspondence to Jieun Choi or Jeon-Soo Shin.

Ethics declarations

Ethics approval and consent to participate

All relevant study documentation was reviewed and approved by the responsible Institutional Review Board at the Seoul National University Boramae Medical Center (20080918/06–2008-74/76). Informed written consent was obtained from the parent of each child, and verbal assent was obtained from each child or adolescent.

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The authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Choi, J., Kim, S.Y., Kim, H. et al. Serum α-synuclein and IL-1β are increased and correlated with measures of disease severity in children with epilepsy: potential prognostic biomarkers?. BMC Neurol 20, 85 (2020). https://doi.org/10.1186/s12883-020-01662-y

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  • DOI: https://doi.org/10.1186/s12883-020-01662-y

Keywords

  • α-Synuclein
  • IL-1β
  • Epilepsy
  • Children
  • Acquired demyelinating disorders

BMC Neurology

ISSN: 1471-2377

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