| Literature DB >> 35054141 |
Tomoko Takamatsu1, Gaku Yamanaka1, Koko Ohno1, Kanako Hayashi1, Yusuke Watanabe1, Mika Takeshita1, Shinji Suzuki1, Shinichiro Morichi1, Soken Go1, Yu Ishida1, Shingo Oana1, Yasuyo Kashiwagi1, Hisashi Kawashima1.
Abstract
Neuroinflammation has been implicated in the pathogenesis of West syndrome (WS). Inflammatory cytokines, including interleukin-1β(IL-1β), have been reported to be associated with epilepsy. However, the assessment of cytokine changes in humans is not always simple or deterministic. This study aimed to elucidate the immunological mechanism of WS. We examined the intracellular cytokine profiles of peripheral blood cells collected from 13 patients with WS, using flow cytometry, and measured their serum cytokine levels. These were compared with those of 10 age-matched controls. We found that the WS group had significantly higher percentages of inter IL-1β, interleukin-1 receptor antagonist (IL-1RA)-positive monocytes, and interferon gamma (IFN-γ) in their CD8+ T cells than the control group. Interestingly, the group with sequelae revealed significantly lower levels of intracellular IFN-γ and IL-6 in their CD8+ T and CD4+ T cells, respectively, than the group without sequelae. There was no correlation between the ratios of positive cells and the serum levels of a particular cytokine in the WS patients. These cytokines in the peripheral immune cells might be involved in the neuroinflammation of WS, even in the absence of infectious or immune disease. Overall, an immunological approach using flow cytometry analysis might be useful for immunological studies of epilepsy.Entities:
Keywords: West syndrome; cytokine; developmental; epileptic encephalopathy; infantile spasms
Year: 2022 PMID: 35054141 PMCID: PMC8779005 DOI: 10.3390/jcm11020447
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241
Clinical features and diagnosis of pediatric patients with West syndrome (n = 13).
| Case | Sex | Age | Cause of West Syndrome | Antiepileptic Drugs Taken | Antiepileptic Drugs | Outcomes |
|---|---|---|---|---|---|---|
| 1 | M | 5 | None | Vit.B6 | ACTH, VGB | ND |
| 2 | F | 6 | None | Vit.B6 | ACTH, VGB | ND |
| 3 | M | 6 | Tuberous sclerosis | None | VGB | ND |
| 4 | F | 4 | Tuberous sclerosis | ZNS | VGB | MD |
| 5 | M | 5 | Tuberous sclerosis | ZNS | VGB, VPA | MD |
| 6 | M | 5 | Cerebral infarction | ZNS | ACTH | MD |
| 7 | M | 3 | Lissencephaly | VPA, ZNS | VGB, Keto milk | SD |
| 8 | M | 5 | Focal cortical dysplasia | Vit.B6, ZNS, LEV | ACTH | SD |
| 9 | M | 3 | Unexplained brain atrophy | Vit.B6 | ACTH, VGB, LTG | SD |
| 10 | M | 5 | Periventricular leukomalacia | VPA, ZNS | ACTH, Clonazepam | SD |
| 11 | M | 7 | Trisomy 21 | TPM, VPA | VGB | SD |
| 12 | M | 7 | Leigh syndrome | ZNS, LEV | None | SD |
| 13 | M | 5 | Cerebral infarction | Vit.B6 | ACTH | MD |
M: male, F: female, ACTH: adrenocorticotropic hormone, ZNS: zonisamide, VPA: valproic acid, LEV: levetiracetam, VGB: vigabatrin, Vit.B6: vitamin B6, TPM: topiramate, ND: normal development, MD: mild developmental delay, SD: severe developmental delay.
Figure 1(a) An example of a plot of flow cytometry results for IL-1β and IL-1RA and the histogram of CD14-positive monocytes, analyzed by flow cytometry in patients with West syndrome and the control group. An increase in IL-1β production could be observed in patients with West syndrome. IL; interleukin, WS; west syndrome, TNF; Tumor necrosis factor (b) Intracellular cytokine expression in monocytes. Blood samples were obtained from 13 patients with West syndrome and 10 healthy controls. The boxplot extends from the 25th to the 75th percentile. The whiskers represent the maximum value on the top and the minimum value on the bottom. “×” represents the mean, and the line in the middle box represents the median. * p < 0.05.
Comparison of intracellular cytokine levels between patients with West syndrome and the control participants.
| WS Group | Control Group | ||||
|---|---|---|---|---|---|
| Monocytes | |||||
| IL-1β | 6.5 | (4.0, 18.4) | 0.75 | (0.4, 1.2) | 0.000 * |
| IL-1RA | 0.47 | (0.28, 2.4) | 0.35 | (0.14, 0.43) | 0.039 * |
| IL-6 | 0.14 | (0.04, 0.34) | 0.15 | (0.02, 0.30) | 0.48 |
| TNF-α | 2.0 | (0.55, 2.3) | 0.55 | (0.35, 22.2) | 0.51 |
| CD4+ T cells | |||||
| IFN-γ | 0.01 | (0, 0.86) | 0.02 | (0.01, 0.64) | 0.62 |
| Granzyme A | 0.42 | (0.18, 0.73) | 0.58 | (0.33, 0.84) | 0.76 |
| IL-17 | 0.04 | (0.02, 0.5) | 0.09 | (0.12, 0.46) | 1.00 |
| IL-10 | 0.04 | (0.03, 1.29) | 0.19 | (0.11, 0.30) | 0.59 |
| IL-1β | 0.32 | (0.14, 0.84) | 0.51 | (0.19, 1.99) | 0.49 |
| IL-1RA | 2.4 | (0.80, 6.2) | 3.7 | (0.7, 8.4) | 0.29 |
| IL-6 | 0.05 | (0.01, 0.21) | 0.05 | (0.01, 0.07) | 0.38 |
| TNF-α | 0.3 | (0.1, 0.42) | 0.25 | (0.21, 0.48) | 0.96 |
| CD8+ T cells | |||||
| IFN-γ | 4.2 | (0.38, 6.2) | 1.9 | (0.12, 3.7) | 0.02 * |
| Granzyme A | 2.3 | (0.58, 9.5) | 1.9 | (0.60, 5.1) | 0.26 |
| IL-17 | 0.01 | (0, 0.08) | 0 | (0, 0.04) | 0.62 |
| IL-10 | 0.02 | (0.01, 0.26) | 0.1 | (0, 0.16) | 0.89 |
| IL-1β | 1.8 | (0.37, 1.9) | 0.26 | (0.09, 0.26) | 0.29 |
| IL-1RA | 1.5 | (1.1, 22.9) | 4.1 | (4.9, 0.3) | 0.68 |
| IL-6 | 0.24 | (0, 1.3) | 0.24 | (0, 1.3) | 0.34 |
| TNF-α | 0.3 | (0, 0.16) | 0.55 | (0.02, 0.23) | 0.71 |
| NKT-like cells | |||||
| IFN-γ | 0.04 | (0.02, 0.07) | 0.12 | (0, 0.13) | 0.690 |
| Granzyme A | 0.0 | (0, 0.06) | 0.01 | (0, 0.02) | 0.847 |
| NK cells | |||||
| IFN-γ | 0.69 | (0.58, 1,3) | 0.95 | (0.21, 4.2) | 0.405 |
| Granzyme A | 0.02 | (0.01, 0.09) | 0.28 | (0.05, 0.4) | 0.131 |
| B cells | |||||
| IFN-γ | 0.26 | (0.01, 0.76) | 0.25 | (0.02, 0.47) | 0.372 |
| Granzyme A | 0.02 | (0.01, 0.04) | 0.25 | (0.02, 0.47) | 0.846 |
WS; West syndrome, IFN; interferon, IL; interleukin, TNF; tumor necrosis factor, Data are presented as medians (interquartile range). * p < 0.05.