| Literature DB >> 36204434 |
Mina Erfani1, Farah Ashrafzadeh1, Hamid Reza Rahimi2, Seyed Ali Ebrahimi3, Keivan Kalali3, Mehran Beiraghi Toosi4, Elnaz Faraji Rad5.
Abstract
Objectives: Epilepsy is the most prevalent chronic neurologic disorder in children. One-third of patients with epilepsy do not respond to antiepileptic drugs. This condition is known as intractable epilepsy. Previous studies have shown the beneficial effects of curcumin in the treatment of epilepsy. There are no randomized controlled clinical trials assessing the use of curcumin in epilepsy. This study aimed to evaluate the effects of nanomicelle curcumin on intractable pediatric epilepsy. Materials &Entities:
Keywords: Intractable epilepsy; Nanomicelle curcumin; Pediatric; Seizures
Year: 2022 PMID: 36204434 PMCID: PMC9531193 DOI: 10.22037/ijcn.v15i4.28648
Source DB: PubMed Journal: Iran J Child Neurol ISSN: 1735-4668
Characteristics of patients
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| < 3 | 7 (33.3) |
| 3-6 | 8 (38.1) |
| >6 | 6 (28.6) |
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| Male | 11 |
| Female | 10 |
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| Generalized myoclonic | 9 (42.9) |
| Generalized tonic | 8 (38.1) |
| Infantile spasms | 2 (9.5) |
| Generalized tonic-clonic | 1 (4.8) |
| Complex partial seizures | 1 (4.8) |
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| |
| Asphyxia | 3 (14.3) |
| Febrile seizures | 3 (14.3) |
| Chromosomal anomalies | 1 (4.8) |
| Hypoglycemia | 1 (4.8) |
| Kernicterus | 1 (4.8) |
| TORCH syndrome | 1 (4.8) |
| Trauma | 1 (4.8) |
| Congenital hernia surgery | 1 (4.8) |
| Unknown | 9 (42.9) |
Changes in the number of seizure attacks
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|---|---|---|---|---|---|---|---|---|
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| 69.40±73.89 | 27.73±32.77 | 0.01 | Two-week washout period | 42.54±41.03 | 45.95±46.08 | 0.41 | 0.02 |
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| 40.83±31.73 | 28.00±21.54 | 0.08 | 30.16±22.45 | 28.66±22.18 | 0.55 | 0.42 | |
Changes in the concentration of measured cytokines and growth factors in each study group
| Cytokines | Baseline | After the first course | After the second course | P1 | P2 | P3 |
|---|---|---|---|---|---|---|
| Curcumin→placebo group | ||||||
| IL1-α | 0.55 (0.33) | 0.55 (0.18) | 0.49 (0.14) | 0.377 | 0.583 | 0.333 |
| IL1-β | 0.59 (1.61) | 0.58 (0.2) | 0.60 (0.39) | 0.075 | 0.378 | 0.113 |
| IL-2 | 3.19 (2.14) | 2.75 (0.8) | 2.75 (0.75) | 0.128 | 0.618 | 0.148 |
| IL-4 | 1.99 (0.72) | 1.72 (0.33) | 1.82 (0.45) | 0.264 | 0.666 | 0.19 |
| IL-6 | 5.28 (10.83) | 1.07 (0.98) | 1.15 (1.75) | 0.013 | 0.059 | 0.024 |
| IL-8 | 10.72 (24.3) | 4.78 (2.88) | 4.85 (2.06) | 0.031 | 0.129 | 0.023 |
| IL-10 | 0.75 (0.7) | 0.87 (0.44) | 1.03 (1.45) | 0.249 | 0.175 | 0.078 |
| MCP | 148.65 (98.74) | 23.63 (25.2) | 20.14 (14.52) | 0 | 0.271 | 0 |
| TNFα | 3.98 (0.83) | 2.27 (0.14) | 2.09 (0.11) | 0 | 0 | 0 |
| EGF | 67.50 (206.01) | 15.71 (21.24) | 21.41 (14.67) | 0.006 | 0.416 | 0.01 |
| IFN-y | 1.33 (1.87) | 0.44 (0.18) | 0.48 (0.55) | 0.088 | 0.695 | 0.144 |
| Placebo→curcumin group | ||||||
| IL1-α | 0.67 (1.34) | 0.49 (0.25) | 0.55 (0.2) | 0.592 | 0.702 | 0.603 |
| IL1-β | 0.76 (4.49) | 0.62 (0.65) | 0.74 (0.64) | 0.126 | 0.628 | 0.228 |
| IL-2 | 3.16 (17.37) | 3.57 (2.25) | 2.30 (0.99) | 0.259 | 0.824 | 0.271 |
| IL-4 | 1.94 (0.6) | 1.95 (0.67) | 1.79 (0.92) | 0.097 | 0.753 | 0.296 |
| IL-6 | 4.07 (4.88) | 1.38 (2.82) | 1.94 (0.89) | 0.106 | 0.804 | 0.057 |
| IL-8 | 4.95 (4.75) | 14.21 (22.29) | 4.65 (2.43) | 0.076 | 0.079 | 0.544 |
| IL-10 | 1.10 (1.69) | 081 (0.22) | 0.76 (0.4) | 0.268 | 0.588 | 0.445 |
| MCP-1 | 82.63 (39.47) | 157.75 (121.21) | 26.10 (29.78) | 0.162 | 0.005 | 0.032 |
| TNF-α | 4.32 (0.6) | 2.99 (0.2) | 2.10 (0.03) | 0 | 0 | 0 |
| EGF | 162.20 (180.59) | 43.22 (72.32) | 21.83 (22.83) | 0.238 | 0.118 | 0.053 |
| IFN-y | 0.55 (0.33) | 0.67 (1.06) | 0.58 (0.56) | 0.266 | 0.675 | 0.206 |
Values are expressed as median (interquartile range)
Serum cytokine levels are expressed as pg/ml
P1: P-value of the comparison between before and after the first course of treatment (baseline and week 5)
P2: P-value of the comparison between before and after the second course of treatment (weeks 5 and 11)
P2: P-value of the comparison between before and after the whole study period (baseline and week 11)
IL-1α: interleukin-1α, IL-1β: interleukin-1β, IL-2: interleukin-2, IL-4: interleukin-4, IL-6: interleukin-6, IL-8: interleukin-8, IL-10: interleukin-10, MCP1: monocyte chemoattractant protein, TNF-α: tumor necrosis factor-α, EGF: epidermal growth factor, IFN-γ: interferon-γ