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International Journal of Surgery & Surgical Techniques Research Article 9 min read

Intractable Epilepsy and Gene Study

Mirzadeh HS, Ashrafzadeh F, Akhondian J, Karimiani EG, Toosi MB, Imannezhad S, Hashemi N, Tohidi H and Farajirad E*
* Corresponding author
ISSN: 2578-482X  10.23880/ijsst-16000205  Received: January 13, 2024  Published: February 29, 2024
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Keywords
Epilepsy Children Gene Study
Abstract

Objectives: Approximately 20% of epileptic children resist anti-seizure medications (ASMs). Management of these cases is complex and needs many pre-requisites. A Gene study is a part of the assessment in epilepsy cases and adjusts according to the physician’s decision. We conducted a gene study and assessed the response to ASMs. Material & Methods: All the ASMs resistant cases that were suspected of genetic epilepsy, did not have metabolic/structural etiology or neurodegenerative disease, and were referred for genetic study between Jan 2014 to Dec 2021 were enrolled. The records of 52 cases were assigned in our registry. The name of the gene extracted and the response to ASMs evaluated. The mean age was 6.65 years old; 24 (46.2%) were boys and 28 (53.8%) were girls. Results: The most common found genes were SCN1A, CAD1, IQSEC2, SLc6A1, AP3B2, SLC25A22, and KCNJ10. The complete response rate was seen in 20 cases (38.46%). Conclusion: In conclusion, further studies should be profit to make a link between gene type and drug response and achieve a better seizure- free response. If this happened, precision medicine would be more achievable

Introduction

Drug- resistant epilepsy is defined by the international league against epilepsy (ILAE) as the failure of adequate Conceptual Paper trials of two tolerated, appropriately chosen and used anti- seizure medications ASMs [1]. Approximately 7 to 20 percent of children with epilepsy are resistant to ASMs [2]. These cases also have a higher rate of morbidity and mortality, seven to twenty-fold higher than the average children [3, 4]. Many risk factors report for drug- resistant epilepsies, including developmental delay at diagnosis, abnormal brain imaging, and age of onset [5]. Beside these, there is a link between genetic variations and drug- resistant seizures [6].

The genetic differences affect the tolerability, efficacy, safety, and duration of action of a drug. However, the role of drug prescription according to the genetic variation in these patients is weakly investigated.

Material and Methods

This study was conducted in Ghaem hospital pediatric neurology center, using the handwritten hospital registry of this medical center. All the ASMs resistant cases that were suspected of genetic epilepsy, did not have metabolic/ structural causes or a neurodegenerative disease, and were referred for genetic study between Jan 2014 to Dec 2021 enrolled. With this regard, a sample of 52 confirmed cases was gathered.

All the medical records were reviewed for further information. Data including age, gender, family history, and medical history extracted. Moreover, the age of epilepsy onset, treatment onset, the number of seizures, frequency, and type of seizures were recorded. The type of mutated gene was assigned, and the response rate to medical therapy classified into complete response (seizure- free), excellent (reduction in seizure episodes>75%), fair (reduction in seizure episodes of 50-75%), weak (reduction in seizure episodes of 25-50%), and no response (reduction in seizure episodes <25%). All the records of the patients were anonymized and coded in order to be secret. All the steps of the study were following Helsinki’s declaration and approved by the ethics committee of Mashhad University of Medical Sciences (Code: IR.MUMS. MEDICAL.REC.1400.506).All the extracted data was entered in SPSS software version 20. The frequency and percent of the qualitative data and the mean and standard deviation of the quantitative data calculated. The data is demonstrated in the form of plots and tables.

Results

52 patients with a mean age of 6.65 years old enrolled in this study. Among these cases, 24 (46.2%) were boys, and 28 (53.8%) were girls. In the case of family history, 22 cases (42.3%) had a similar positive family history, and only in 15 cases (28.8%), their parents had no consanguinity. Table 1 demonstrates demographic family history, mental and physical development, and other accompanying underlying problems.

FeatureStatistics
Age (years; mean±SD)6.65±4.09
Gender N (%)Male24 (46.2)
Gender N (%)Female28 (53.8)
Development status (age<6 years)Delayed50 (96.2)
Development status (age<6 years)Natural2 (3.8)
School attendance N (%)Normal school2 (3.9)
School attendance N (%)Special school24 (46.1)
School attendance N (%)Not attending school26 (50.0)
Physical status N (%)Independent3 (4.3)
Physical status N (%)Dependent to other49 (95.7)
Intellectual status N (%)Delayed50 (96.2)
Intellectual status N (%)Natural2 (3.8)

Table 1: Demographic, mental and physical development.

Table 2 also shows data regarding the age of seizure onset, type of seizure, and frequency. The frequency of seizure was daily in 27 (51.9%) cases, and the most frequent type was epileptic spasm (39 patients (56.4%).

FeatureStatistics
Age of seizure onset (months; mean±SD)14.48±21.11
Age of starting medication (months; mean±SD)16.19±22.88
Number of different types of seizure (mean±SD)1.88±0.83
Seizure frequency N (%)Daily27 (51.9)
Weekly10 (19.2)
Monthly7 (13.5)
Unspecified6 (11.5)
Other2 (3.8)
Type of seizure N (%)Spasm39 (56.4)
General tonic24 (34.8)
+General colonic17 (26.0)
Focal tonic18 (24.6)
Focal myoclonic13 (18.8)
Focal with awareness6 (8.6)
Absence5 (7.2)
Unclassified1 (1.4)
Focal without awareness1 (1.4)
Focal colonic1 (1.4)
Atonic1 (1.4)

Table 2: Age of seizure onset, Type of seizures and frequency.

The mean number of prescribed drugs was 2.56±1.26. The most frequent drug was phenobarbital, prescribed in 40 cases (78.9%). Table 3 shows the details of the treatment in these patients.

Table 3 demonstrates detected genes in the studied population. The most frequent gene was SCN1A (four cases).

Identified genesFrequencyPercent
KeTD711.9
CAD123.8
KIF711.9
FRRS1L11.9
KeNT811.9
SCN1A47.7
OCLN11.9
WWOX11.9
TBC1D2411.9
DEE9411.9
IQSEC223.8
SLc6A111.9
TBe1D2411.9
PCDH1911.9
AP3B223.8
SLC2SA2223.8
ScN2A11.9
SCN8A11.9
STXBP111.9
DEE2811.9
CDKI511.9
CXorf5611.9
ST3GAL311.9
CACNA1A11.9
NPC1hom11.9
NPC111.9
TPP111.9
ARD1B11.9
SPTBN211.9
KCNJ1023.8
CLN511.9
PDE10A11.9
ARSA11.9
DPM311.9
NGLY111.9
AMPD211.9
MPC111.9
CRIPT11.9
MRPS3511.9
Prose11.9
NALCN11.9
AP4M111.9
PIGL p.Met244Leu11.9
SYNJ111.9

Table 3: Detected genes in the studied population.

Figure 1: Frequency of response to anti-epileptic drugs.
Click to enlarge
Figure 1: Frequency of response to anti-epileptic drugs.

Figure 1 shows the frequency of different response rates to anti-epileptic drugs. 38.46% of the cases had a complete response.

Electroencephalography findings were normal in three cases (11.2%) and abnormal in 24 cases (88.8%). Moreover, in case of magnetic resonance imaging was normal in 24 patients (55.8%) 16 cases (37.2%) showed atrophy, two cases (4.6%) had hemi-megalocephaly, and one (2.3%) had cerebellar hypoplasia.

Table 4 shows different genes and different responses. None of the cases with a mutation in SCN1A or SCN2A received carbamazepine or phenytoin as medication. Moreover, 42 patients intended to have another child, and all of them provided genetic assessments in this regard.

CompleteExcellentModerateWeakNo response
CAD11 (50.0)0 (0.0)0 (0.0)1 (50.0)0 (0.0)
SCN1A2 (50.0)0 (0.0)0 (0.0)2 (50.0)0 (0.0)
IQSEC20 (0.0)2 (100.0)0 (0.0)0 (0.0)0 (0.0)
SLc6A10 (0.0)0 (0.0)0 (0.0)1 (100.0)0 (0.0)
AP3B20 (0.0)0 (0.0)0 (0.0)1 (50.0)1 (50.0)
SLC25A222 (100.0)0 (0.0)0 (0.0)0 (0.0)0 (0.0)
KCNJ101 (50.0)1 (50.0)0 (0.0)0 (0.0)0 (0.0)

Table 4: Common genes and response rate.

Discussion

We found different genes with different responses to drug treatment. The most frequently found gene mutation in our study was in SCN1A, with a frequency of four cases. This gene encodes alpha subunit of voltage-gated sodium channels. The literature also proposes this gene as one of the most mutated genes in drug- resistant epilepsy and has been reported to have the responsibility in many disorders, including Generalized Epilepsy with Febrile Seizure Plus (GEFS+), Dravet Syndrome (DS), Doose syndrome (MAE), Borderline Severe Myoclonic Epilepsy of Infancy (SMEB), infantile spasms, and some other infantile epileptic disorders [7, 8, 9]. It is reported that patients with SCN1A and SCN2A mutations show no response to carbamazepine and phenytoin, as these drugs also act on sodium channels [10]. Two out of four of the studied cases become seizure- free in our study, but two showed a weak response. Usluer S, et al. [11] also studied 46 epilepsy cases with SCN1A gene mutation and reported that 26 patients (56.52%) had no response to the ASMs. It can hypothesize that factors other than not receiving carbamazepine should consider in management of patients with SCN1A mutation. Even different polymorphism of this gene may exhibit different properties. Another study suggested that SCN1A IVS5-91 rs3812718 G>A polymorphism is associated with even responsiveness to ASMs monotherapy [12].

SLC25A22 found in two cases in our study, which is in the mitochondrial transporter family. This gene reportedly responsible for early infantile epileptic encephalopathy, especially Migrating Partial Seizures in Infancy. There is a case report with SLC25A22 mutation and resistance to phenobarbital, carbamazepine, vigabatrin, pyridoxal five n -phosphate, and levetiracetam; however, an exact link with this regard is absent [13]. The mutation in this gene reported in many disorders, including Ohtahara syndrome, early myoclonic epilepsy, and epilepsy of infancy with migrating focal seizures. It is reported that in all disorders, a ketogenic diet may play a crucial role, and this can be more important than drug change [14]. We had two excellent response cases; however, due to the retrospective manner of the study, the efficacy of the ketogenic diet cannot be detected.

The mutation KCNJ10 gene was another found mutation in two cases of our population. KCNJ10 is located on chromosome 1q22–23 and encodes inward rectifier potassium ion channel protein (Kir4.1). This protein is responsible for potassium influx into glial cells from intracellular space, in order to maintain a resting state. Besides the fundamental role in developing childhood epilepsy, some genetic variants of KCNJ10 are responsible for drug resistance. Guo Y, et al. [15] proposed that the rs12402969 genotype of the KCNJ10 gene is responsible for AED resistance . However, Zhu H, et al. [16] assessed relationship of nine loci of the KCNJ10 gene (rs12122979, rs1186685, rs6690889, rs2486253, rs1186675, rs12402969, rs12729701, rs1890532 and rs3795339) with ASMs resistance and could not find any relationship between these genotypes and drug resistance . It seems that investigations should focus on the detection of responsible genotypes for ASMs resistance epilepsies.

Different responsible genes in drug- resistant epilepsy detected. These include sodium voltage-gated channels SCN1A, SCN2A, SCN3A, SCN8A and SCN1B); potassium voltage-gated channels (KCNA1, KCNA2, KCNB1, KCND7, KCNH5, KCNJ10, KCNQ2 and KCNT1); calcium voltage-gated channel subunit α1 H; mitochondrial transporter family members (SLC2A1, SLC6A1, SLC6A4, SLC6A11, SLC9A6, SLC25A22 and SLC35A2); aTP binding-cassette transporters (ABCB1, ABCC2, ABCC5 and ABCG2); drug-metabolizing enzymes (CYP2C1, CYP2C9, CYP2C19, CYP2D6, CYPP3A4 and CYP3A5); cdKl5; and GaBa receptors (GABRA1 and GABBR1). We also found SCN1A, SCN2A, and SCN8A as sodium voltage- gated channels, KCNJ10 as potassium voltage-gated channels, and SLC6A1 and SLC25A22, as mitochondrial transporter family. However, these mutations not confined to only the above- mentioned classification.

Moreover, the vast number of detected genes with different underlying mechanism for drug- resistant epilepsy makes the fact of “percision medicine” difficult. we are still far from precision medicine. In our investigation, only 38.46% of the patients had complete responses to ASMs changes. However, still 13.46% had no response and 19.23% had a weak response.

Our study limited by the retrospective assessment, and therefore, we could not assign many related factors to precision medicine. However, the assessment of 52 confirmed drug- resistant epilepsy cases is a fact that barely happened in other similar studies. We also proposed various mutated genes that can be helpful for the researcher and clinicians in this field.

Author’s Contribution

Farajirad Elnaz conceived and supervised the data; Mirzadeh Hs prepared the first draft of the paper; Tohidi H edited the final proof, Ashrafzadeh F, Akhondian J, Beiraghi- Toosi M, Imannezhad Sh, and Hashemi N referred patients and searched for relevant articles, Ghayoor Karimiani E assessed genetic studies. All authors discussed the results and contributed to the final manuscript.

Conflict of Interest

Authors declare no conflict of interest.

Aknowlegment

We would like to acknowledge all the parents’ of the children who helped the conduction of this study.

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Cite this article

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@article{mirzadeh2024,
  title   = {Intractable Epilepsy and Gene Study},
  author  = {Mirzadeh HS, Ashrafzadeh F, Akhondian J, Karimiani EG, Toosi MB, Imannezhad S, Hashemi N, Tohidi H and Farajirad E},
  journal = {International Journal of Surgery & Surgical Techniques},
  year    = {2024},
  volume  = {8},
  number  = {1},
  doi     = {10.23880/ijsst-16000205}
}
Mirzadeh HS, Ashrafzadeh F, Akhondian J, Karimiani EG, Toosi MB, Imannezhad S, Hashemi N, Tohidi H and Farajirad E (2024). Intractable Epilepsy and Gene Study. International Journal of Surgery & Surgical Techniques, 8(1). https://doi.org/10.23880/ijsst-16000205
TY  - JOUR
TI  - Intractable Epilepsy and Gene Study
AU  - Mirzadeh HS, Ashrafzadeh F, Akhondian J, Karimiani EG, Toosi MB, Imannezhad S, Hashemi N, Tohidi H and Farajirad E
JO  - International Journal of Surgery & Surgical Techniques
PY  - 2024
VL  - 8
IS  - 1
DO  - 10.23880/ijsst-16000205
ER  -