Genetic Polymorphism of GABRG2 rs211037 is Associated with Drug Response and Adverse Drug Reactions to Valproic Acid in Chinese Southern Children with Epilepsy

Abstract

Background

Valproic acid (VPA) is recommended as a first-line treatment for children with epilepsy. GABRG2 polymorphism is found to be associated with epilepsy susceptibility and therapeutic response of anti-seizure medications (ASM); however, the role of GABRG2 in VPA treatment still remains unknown.

Objective

The purpose of this study was to explore the association of GABRG2 gene polymorphism with the drug response and adverse drug reactions (ADRs) related to VPA.

Methods

A retrospective study including 96 Chinese children with epilepsy treated by VPA was carried out. The ADRs were collected during VPA therapy and GABRG2 rs211037 in enrolled patients was genotyped using Sequenom MassArray system. A network pharmacological analysis involved protein–protein interaction and enrichment analysis was constructed to investigate the potential targets and pathways of GABRG2 on VPA-related ADRs.

Results

Among 96 patients, 41 individuals were defined as seizure together with 49 patients with seizure-free and 6 patients unclassified. Carriers of homozygote GABRG2 rs211037 CC genotype exhibited seizure-free to VPA (P = 0.042), whereas those with CT genotype showed seizure. Furthermore, CC genotype had predisposition to digestive ADRs (P = 0.037) but was a protective factor for VPA-associated weight gain (P = 0.013). Ten key genes related to digestive ADRs and weight gain induced by VPA were identified by network pharmacological analysis and mainly involved in “GABAergic synaptic signaling”, “GABA receptor signaling”, and “taste transduction” pathways/processes through enrichment analysis.

Conclusion

This study revealed that GABRG2 variation exerted a predictable role in the efficacy and safety of VPA treatment for Chinese children with epilepsy.

Keywords:

• children with epilepsy
• GABRG2
• gene polymorphism
• valproic acid
• therapeutic response
• adverse drug reactions

Introduction

Epilepsy, characterized by persistent epileptic seizures, has a prevalence of 7.60 per 1000 individuals worldwide and affects around 70 million people in all age groups.¹ Epilepsy is one of the most common neurologic disorders in children with the highest incidence in the first year after birth, and the comorbidities are also common in children with epilepsy.² Anti-seizure medications (ASM) are the first choice for the treatment of epilepsy in both children and adults, represented by valproic acid (VPA) with the broadest effects against epilepsy compared with other ASM.

VPA, metabolized mainly by glucuronidation, beta-oxidation, and cytochrome P450-mediated oxidation, is effective in all types of epileptic seizures and syndromes.³ However, over 30% of children with epilepsy showed recurrent seizure to VPA.^4–6 Non-responsiveness/ineffectiveness and adverse drug reactions (ADRs) have become the most common prevalent reasons for epileptic patients to discontinue VPA treatment. Digestive adverse reactions (dADRs) including appetite changes, vomiting or nausea, diarrhea, and dysphagia, and weight gain are usually observed in epileptic patients treated by VPA.^7–9 Evidences have indicated that genetic abnormalities may lead to non-responsiveness or ineffectiveness to VPA for specific individuals via regulation of channel activities, drug pharmacokinetics, and neuronal excitability.¹⁰ VPA can intensify synthesis and release of gamma-aminobutyric (GABA), resulting in an increase in the transmission of GABAergic via specific brain regions.^11,12 Interestingly, GABA as an inhibitory neurotransmitter implicates the alteration of mesolimbic systems. VPA also regulates the activity of GABA receptors including GABA_A and GABA_B, extending the elimination of inhibitory ability based on GABA_A receptor activation.^13,14 GABRG2, a primary mutation in the GABA_A receptor γ2 subunit, is a significant locus associated with a majority of epilepsy and drug response among idiopathic generalized epilepsies, febrile seizures, and childhood absence epilepsy.^15–18 The polymorphism of GABRG2 rs211037 increases the susceptibility of idiopathic generalized epilepsy and may regulate the response to ASM in the Macedonian population and Egyptian children.^19,20 However, no relationship was found between GABRG2 rs211037 and the susceptibility of Juvenile myoclonic epilepsy.²¹ GABRG2 gene variation may influence the predisposition to epilepsy in juvenile myoclonic epilepsy regardless of its phenotype.²² The TT homozygote of GABRG2 rs211037 was reported to be a predictive genetic marker of febrile seizures and generalized recurrent seizures and to predispose patients treated by ASM to recurrent seizures.^23,24 No significant linkage between GABRG2 rs211037 polymorphism and drug response to ASM was found in Indians.²⁵ However, the role of GABRG2 in ADRs related to ASM remains unknown.

In this study, a retrospective study in Chinese southern children with epilepsy was performed to evaluate whether the polymorphism of GABRG2 rs211037 is associated with VPA response and ADRs. Target pathway/function network of GABRG2 in ADRs was explored through network pharmacological analysis to predict the underlying mechanisms.

Materials and Methods

Participants and Data Collection

A total of 96 children with epilepsy were gathered in Baoan Women’s and Children’s Hospital from October 2016 to January 2020. The epilepsy or epileptic syndrome were diagnosed on the bias of the latest ILAE Commission’s classification standard.²⁶ The children with epilepsy aged <16 years old who received VPA alone or in combination of the other ASM (LEV, OXC, TPM, and LTG) were included in this study. All the children were administered with VPA at least 12 months. Patients who were diagnosed as epilepsy within a month of birth were excluded. Those with a history of pseudoepileptic seizure, impaired hepatic and/or renal function, or the existence of any diseases which presented gastrointestinal symptoms similar to side effects induced by ASM were also excluded. The study was approved by the Baoan Women’s and Children’s Hospital Ethics Committee and conducted in accordance with the Declaration of Helsinki. Written informed consents were obtained from all patients’ guardians. The clinical data of children with epilepsy were collected through the inpatients’ medical records or a telephone interview with their parents. The information including gender, age of initial diagnosis, birth and family history of epilepsy, classification of epilepsy, ASM (only VPA or polytherapy), seizure frequency, and ADRs was collected.

Drug Response and ADR Evaluation

Seizure frequency was used in the classifications of drug response according to EpiPGX (https://www.epipgx.eu/)²⁷ to evaluate the efficacy of VPA treatment. The individuals without epileptic seizure under ongoing therapy with VPA for at least 12 months were defined as seizure-free. Seizure was defined due to recurrent epileptic seizures in the course of VPA treatment with sufficient dosage, which was within the recommended dose range to obtain the therapeutic blood concentration (50–100 µg/mL).²⁸ The individuals who suffered ADRs when taking VPA were included in VPA induced-ADR group and further divided into four subgroups including neurogenic ADRs (nADRs) group, digestive ADRs (dADRs), weight-gain group, and cutaneous ADRs (cADRs) according to the clinical symptoms of ADRs. The group without ADRs was composed of patients who showed no ADRs related to VPA.

Causal assessment for ADRs developed following VPA administration was carried out using WHO-UMC methodology and the Naranjo Algorithm. All the ADRs were categorized as certain, probable/likely, possible, conditional/unclassified, and unassessable/unclassifiable. Only the ADRs in certain, probable/likely, and possible categories were included in this study.

SNP Genotyping

Genomic DNA samples were extracted from 1.5 mL of whole blood in all participants. The polymerase chain reaction was performed as described in detail in our previous study.²⁹ Genotyping of GABRG2 rs211037 was carried out using iPLEX^® Gold Assay and Sequenom MassArray System (Agena Bioscience, San Diego, CA, United States). The MassArray Typer 4.0 software was used for data acquisition and analysis. The genotyping primers of GABRG2 C>T rs211037 (forward primer sequence: ACGTTGGATGTACCATCTTGGCTTCTGGTGR and reverse primer sequence: ACGTTGGATGAGCTTCTGTCTGTCAGGTCGE) were specifically synthesized in our study.

Analysis of Protein–Protein Interaction Network SNP Genotyping

The GABRG2 was inputted to STRING database v11.01 (https://string-db.org/) to obtain protein–protein interaction (PPI) network. Only Homo sapiens proteins linked to GABRG2 were used for PPI analysis. The number of GABRG2-interacted proteins in the PPI network was restricted by setting an interaction score value with default medium confidence (0.400) as cutoff criteria and the number of interactors no more than 20. The visible network figures were pictured using Cytoscape (v3.6.0) software (http://www.cytoscape.org/).

Identification of GABRG2-Related Target Genes in VPA-Induced ADRs

ADRs-related genes were obtained from DisGeNET (https://www.disgenet.org/) and GeneCards database (https://www.genecards.org/). The keywords such as “appetite change”, “stomach upset” which referred to VPA-induced ADRs were used, and only Homo sapiens genes were considered in this study. Genes with a relevance score ≥1 were selected in GeneCards database, and those with PubMed IDs >0 were included in DisGeNET database.²⁹ Genes associated with VPA were obtained from GeneCards and DrugBank, and the overlapping genes were removed. All the ADR-related genes from the above two databases and VPA-associated genes were both intersected with the genes related to GABRG2 from PPI analysis, and GABRG2-associated target genes in VPA-induced ADRs were obtained.

Pathway and Functional Enrichment Analysis

The Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analysis were performed using Metascape online tool (http://metascape.org/gp/index.html) in this study for exploring pathway enrichment and potential biological processes annotation of GABRG2 in VPA-induced ADRs. Only terms with a P-value less than 0.01 and enrichment factor >1.5 were considered significant.

Statistical Analysis

Independent-samples t-test was used to assess the differences of demographic characteristics between patients with and without VPA-induced ADRs. The data were expressed as mean ± standard deviation (mean ± SD). The allelic and genotypic frequencies for GABRG2 rs211037 were calculated by the SNPStats software (https://www.snpstats.net/). The chi-square test was used to evaluate the Hardy–Weinberg equilibrium (HWE). The differences of genotype frequencies for GABRG2 rs211037 between the seizure-free group and seizure group to VPA and between children with epilepsy with and without VPA-induced ADRs were analyzed by chi-square test or Fisher’s exact test using SPSS V25.0. The OR and 95% confidence interval (CI) were calculated. P < 0.05 was considered to be statistically significant.

Results

Clinical Characteristics of Patients with Epilepsy

Ninety-six children with epilepsy were involved in this study with 55 males and 41 females, who aged from 1 month to 16 years old with the average ages of diagnosis for 3.71 ± 3.11 years (Table 1). There were 47 individuals receiving VPA alone and 49 patients administered with VPA combined with other ASM including LEV (26.0%), OXC (15.6%), TPM (5.2%), and LTG (4.2%). More than half of patients with epilepsy showed seizure-free after VPA administration. Idiopathic generalized epilepsy was the main type both in seizure-free group (73.5%) and seizure group (53.7%). The other six children were unclassified due to lack of clinical data. Children with epilepsy who showed seizure after VPA treatment tended to be younger than those with seizure-free to VPA treatment (P = 0.02). Gender of patients exhibited no effect on VPA efficacy (Table 2). The patients with VPA alone exhibited a higher percentage of seizure-free to VPA compared to those with polytherapy (65.5% vs 37.1%). There are no significant difference on VPA blood concentration in epileptic patients with or without seizure-free to VPA, which was measured using enzyme multiplied immunoassay technique.

Table 1 Clinical Characteristics of Children with Epilepsy Receiving Valproic Acid

Characteristics	Number (n)	Percentage (%)
Age of initial diagnosis (years)
< 2	48	50.0
2–16	48	50.0
Mean ± SD	3.71 ± 3.11
Male	55	57.3
Female	41	42.7
Drug treatment
VPA monotherapy	47	49.0
Combination with other ASM	49	51.0
Levetiracetam	25	26.0
Oxcarbazepine	15	15.6
Topiramate	5	5.2
Lamotrigine	4	4.2
Treatment response
Seizure	41	42.7
Seizure-free	49	51.0
Unclassified	6	6.3
Adverse drug reactions
Digestive ADRs	50	37.3^a
Appetite change	13	9.7
Abdominal pain	7	5.2
Stomach upset	11	8.2
Nausea, vomiting, or both	6	4.5
Diarrhea/Constipation	13	9.7
Neurogenic ADRs	38	28.4
Sleep problem	8	6.0
Headache/ Dizziness	5	3.7
Asthenia	5	3.7
Irritability	4	3.0
Somnolence	6	4.5
Fatigue	10	7.5
Weight gain	28	20.9
Rash	18	13.4

a Notes: ^aThe percentage of ADRs was calculated with 134 cases as the denominator.

Table 2 The Characteristics of Patients with Epilepsy Who Showed Seizure and Seizure-Free Treated by VPA

	Seizure (n=41)	Seizure-Free (n=49)	P value
Age of initial diagnosis (years)
< 2	17 (41.5%)	29 (59.2%)	0.053
2–16	24 (58.5%)	20 (40.8%)
Mean ± SD	3.13 ± 2.34	3.40 ± 3.50	0.021*
Gender
Male	26 (63.4%)	29 (59.2%)	0.879
Female	15 (36.6%)	20 (40.8%)
Drug treatment
VPA monotherapy	19 (34.5%)	36 (65.5%)	0.048*
Polytherapy	22 (62.9%)	13 (37.1%)
Blood concentration of VPA (µg/mL)
Mean ± SD	61.6 ± 20.3	60.6 ±18.6	0.830
Epilepsy types
Idiopathic generalized	22 (53.7%)	36 (73.5%)
Versus focal	14 (34.1%)	7 (14.3%)
Symptomatic	3 (7.3%)	5 (10.2%)
Status epilepsy	2 (4.9%)	1 (2.0%)

Note: * P< 0.05.

A total of 134 ADRs of different systems or organs were observed in fifty children with epilepsy, indicating several children with epilepsy suffered from more than one side effect and were correspondingly included in several ADR groups. The different ADR symptoms per system or organ related to VPA were shown in Table 1. The percentages of “certain”, “probable”, and “possible” ADRs through causality assessment were 24.6%, 66.4%, and 9%, respectively. The main ADRs of patients were dADRs (37.3%), nADRs (28.4%), weight gain (20.9%), and rash (13.4%).

The Association of GABRG2 Polymorphism with Drug Response to VPA in Children with Epilepsy

The frequency distribution of GABRG2 rs211037 genotype in children with epilepsy receiving VPA was summarized in Table 3. Frequency of CC genotype was higher in seizure than that in seizure-free (22.4% and 7.3%, respectively) through the dominant analysis. The individuals with seizure had a higher frequency in CT genotype than those with seizure-free to VPA (68.3% and 46.9% respectively). No significant differences in the codominant, recessive, or log-additive models were observed between seizure group and seizure-free group. The results indicated that heterozygous CT genotype of GABRG2 rs211037 polymorphism tended to be a significant risk factor for seizure to VPA in children with epilepsy, but CC genotype exhibited seizure-free.

Table 3 Comparison of GABRG2 Rs211037 Genotype Distribution in Children with Epilepsy with or without Response to VPA

Genetic Model	Genotype	Seizure (n=41)	Seizure-Free (n=49)	P value	OR (95% CI)
Allele contrast	C vs T	34 (41.0%) / 48 (59.0%)	45 (46.0%) / 53 (54.0%)	0.549	1.00 0.84 (0.46–1.51)
Codominant	CC vs CT vs TT	3 (7.3%) / 28 (68.3%) / 10 (24.4%)	11 (22.4%) / 23 (47.0%) / 15 (30.6%)	0.059	1.00 4.46 (1.11–17.93) 2.44 (0.54–11.03)
Dominant	CC vs CT + TT	3 (7.3%) / 38 (92.7%)	11 (22.4%) / 38 (77.5%)	0.042*	1.00 3.67 (0.95–14.19)
Recessive	CC + CT vs TT	31 (75.6%) / 10 (24.4%)	34 (69.4%) / 15 (30.6%)	0.51	1.00 0.73 (0.29–1.87)
Overdominant	CC + TT vs CT	13 (31.7%) / 28 (68.3%)	26 (53.1%) / 23 (46.9%)	0.040*	1.00 2.43 (1.03–5.78)
Log-additive	CC vs TT	3 (7.3%) / 10 (24.4%)	11 (22.4%) / 15 (30.6%)	0.51	1.00 1.24 (0.65–2.36)

Note: * P< 0.05.

The Association of GABRG2 Polymorphism with VPA-Induced dADRs and Weight-Gain in Children with Epilepsy

The association between GABRG2 rs211037 variants and VPA-induced ADRs was further investigated in our study. GABRG2 rs211037 polymorphism was found to be significantly associated with VPA-induced dADRs and weight gain, but had no linkage with nADRs and cADRs. The frequency distribution of GABRG2 rs211037 genotype in children with epilepsy with or without dADRs is shown in Table 4. C allele was more frequent in children with epilepsy with VPA-induced dADRs than those without dADRs (51.0% vs 35.0%, P = 0.028) as evidenced by the allele analysis. CC genotype had a significantly higher frequency in children with epilepsy with dADRs compared to those without dADRs. These results indicated that the allele C and homozygous CC genotype were risk factors for VPA-induced dADRs in children with epilepsy. Additionally, no significant difference in the frequency of C and T alleles was found among the patients with or without VPA-related weight gain (P = 0.0630) (Table 5). A significantly lower frequency of homozygous CC genotype was observed in children with VPA-induced weight gain compared to those without this ADRs (3.6% vs 22.1%), conversely for the genotypes with at least one T allele (CT or TT). These suggested that carriers with CC genotype might exhibit fewer predispositions to VPA-related weight gain.

Table 4 Comparison of GABRG2 Rs211037 Genotype Distribution in Children with Epilepsy with or without VPA-Induced dADRs

Genetic Model	Genotype	Children with Epilepsy with dADRs(n=35)	Children with Epilepsy without dADRs (n=61)	P value	OR (95% CI)
Allele contrast	C vs T	36 (51.0%)/	43 (35.0%) /	0.028*	1.00
		34 (49.0%)	79 (65.0%)		1.95 (1.07–3.60)
Codominant	CC vs CT vs TT	10 (28.6%) /	6 (9.8%) /	0.054	1.00
		16 (45.7%) /	31 (50.8%) /		1.38 (0.52–3.65)
		9 (25.7%)	24 (39.3%)		4.44 (1.25–15.82)
Dominant	CT + CC vs.TT	26 (74.3%)/	37 (60.7%)/	0.17	1.00
		9 (25.7%)	24 (39.3%)		1.87 (0.75–4.68)
Recessive	CC vs CT+TT	10 (28.6%) /	6 (9.8%)/	0.037*	1.00
		25 (71.4%)	55 (90.1%)		3.67 (1.23–11.66)
Overdominant	CC + TT vs CT	19 (54.3%)/	30 (49.1%)/	0.63	1.00
		16 (45.7%)	31 (50.8%)		0.81 (0.35–1.87)
Log-additive	CC vs TT	10 (28.6%) /	6 (9.8%) /	0.027*	1.00
		9 (25.7%)	24 (39.3%)		4.44 (1.33–13.72)

Note: * P< 0.05.

Table 5 Comparison of GABRG2 Rs211037 Genotype Distribution in Children with Epilepsy with or without VPA-Induced Weight Gain

Genetic Model	Genotype	Children with Epilepsy with Weight Gain (n=28)	Children with Epilepsy without Weight Gain (n=68)	P value	OR (95% CI)
Allele contrast	C vs T	17 (30.0%)/	61 (45.0%) /	0.063	1.00
		39 (70.0%)	75 (55.0%)		0.54 (0.27–1.03)
Codominant	CC vs CT vs TT	1 (3.6%) /	15 (22.1%) /	0.046*	1.00
		15 (53.5%) /	31 (45.6%) /		5.81 (0.81–65.95)
		12 (42.9%)	22 (32.4%)		7.64 (1.29–83.48)
Dominant	CT + CC vs TT	16 (57.1%)/	46 (67.7%)/	0.33	1.00
		12 (42.9%)	22 (32.4%)		1.57 (0.63–3.88)
Recessive	CC vs.TT + CT	1 (3.6%)/	15 (22.1%)/	0.013*	1.00
		27 (96.4%)	53 (77.9%)		7.64 (1.29–83.48)
Overdominant	CC + TT vs CT	13 (46.4%) /	37 (54.4%) /	0.48	1.00
		15 (53.5%)	31 (45.6%)		0.73 (0.30–1.76)
Log-additive	CC vs TT	1 (3.6%) /	15 (22.1%) /	0.06	1.00
		12 (42.9%)	22 (32.4%)		1.88 (0.95–3.70)

Note: * P< 0.05.

Network Pharmacological Analysis of GABRG2 in VPA-Induced dADRs and Weight Gain

To explore the underlying mechanisms of GABRG2 in VPA-induced dADRs and weight gain, network pharmacological analysis was carried out in this study. A PPI network for GABRG2 comprising 20 nodes and 146 edges was generated (Figure 1A). Twenty genes were found to interact with GABRG2. A total of 10,282 genes associated with digestive system manifestations including “appetite change”, “stomach upset”, and “abdominal pain”, and weight gain were obtained from DisGeNET and GeneCards. After intersecting with VPA-related genes from GeneCards and Drugbank, 924 genes were further intersected with 20 GABRG2-related genes from PPI network analysis. Ten common genes including SCN1B, SCN1A, GABRB1, GABRA1, GABRA5, GABRB3, GPHN, GABRA2, GABRD, and GABRB2 were identified as the key target genes of GABRG2 in VPA-induced dADRs and weight gain (Figure 1B).

Figure 1 Protein–protein interaction (PPI) network analysis. (A) PPI network analysis of GABRG2 consisted of 20 nodes and 146 edges. (B) The PPI network for ten common target genes of GABRG2 in VPA-induced ADRs. Each target gene is represented by nodes and the association between two nodes is represented by lines.

To further investigate the biological functions of ten target genes, GO enrichment analysis was performed through Metascape. As shown in Figure 2A, the top 5 biological processes (BP) which 10 target genes were mainly enriched in were “gamma-aminobutyric acid signaling pathway”, “GABAergic synapse”, “synaptic transmission”, “GABAergic synaptic signaling”, and “trans-synaptic signaling”. These genes were mainly involved in synaptic membrane and GABA receptor complex for cellular components (CC) and in GABA receptor activity, synaptic membrane for molecular functions (MF) (Figure 2A). Additionally, KEGG pathway and WikiPathways analysis showed that the primary pathways related to these target genes were involved in GABA receptor signaling, GABAergic synapse, taste transduction, mBDNF and proBDNF regulation of GABA neurotransmission (Figure 2B). These results reveal that GABRG2 exerts a key role in VPA-induced dADRs and weight gain likely through regulating the activities of GABA receptor complex and synaptic membrane.

Figure 2 GO enrichment analysis and KEGG pathway analysis of 10 common genes. (A) GO analysis for ten target genes of GABRG2 and VPA-induced ADRs. Polka dots, triangles, and squares refer to biological process (BP), cellular components (CC), and molecular function (MF), respectively. (B) The KEGG pathway analysis of VPA-induced ADRs. Gene ratio represents the ratio of enriched genes to all target genes, and counts refer to the number of the enriched genes.

Discussion

In our study, 45.6% of children with epilepsy exhibited seizure to VPA treatment and developed uncontrolled seizures, in particular younger children and those received VPA combined with other ASM. Furthermore, a high incidence of ADRs related to VPA was observed in 96 children with epilepsy. Among all types of ADRs, dADRs and weight gain were the major side effects of VPA, which were consistent with the previous evidences.^30,31 The high incidence rates of dose-related ADRs in children might be due to incomplete function of liver and kidney for children, the usage of ASM polytherapy, and long-term therapy course of epilepsy.

The present study revealed a significant association of GABRG2 rs211037 polymorphism with the efficacy and ADRs related to VPA in Chinese southern children with epilepsy. Patients carrying GABRG2 rs211037 CC genotype exhibited better drug response, higher risk of VPA-induced dADRs, and fewer predispositions to weight gain to VPA compared to CT and TT genotypes. To our knowledge, our study was the first to reveal the correlation between GABRG2 rs211037 and ADRs to VPA. However, different results about association between GABRG2 rs211037 and ASM response were obtained among previous studies, likely because of differences in ethnicities of study participants, types of epilepsy, ASM for treatment, and sample size.^20,22

Numerous evidences showed that physiologic, ontogenic, environmental, and genetic factors could impact the absorption, distribution, metabolism, and elimination of drugs, leading to differential sensitivity to drug exposure for children. Genetic variation is regarded as an important factor to influence drug response and ADRs induced by VPA in epileptic patients through pharmacokinetics and pharmacodynamics.^27,32,33 However, the role of GABRG2 rs211037 variation in the response to VPA for children with epilepsy remains unknown.

GABA_A receptors and glutamate neurotransmitters were believed as molecular targets for many ASM, based on an association between the genetic alteration of the GABA_A receptors and the development of non-response to ASM.¹² It should be recognized that various ASM exert antiepileptic effects via GABA binding.³⁴ Alteration of sites associated with GABA_A receptors led to a poor response to ASM for epileptic patients.³⁵ GABRG2 gene, located in position 588 of exon 5, encodes for the γ2 subunit which influence the action of post-synaptic transmission of GABA_A receptors.³⁴ GABRG2 was considered as a potential interactive target for ASM.¹⁸ GABRG2 rs211037 was found to be associated with the splicing and transcriptional organization. Moreover, variations of GABRG2 lead to functional loss of the GABA_A receptors through decreasing GABA expression or deactivation, resulting in epilepsy or recurrent epileptic seizures.³⁶ The association of decreased drug efficacy with GABRG2 rs211037 polymorphism in our study may be explained due to overstimulated glutamate excitation, resistant genes triggered, and changed configuration and functional properties of GABA_A receptors.²⁰

The underlying mechanisms of GABRG2 in VPA-induced dADRs and weight gain were further explored by network pharmacological analysis. Ten target genes of GABRG2 related to the two above ADRs were identified and enriched in “GABAergic synapse”, “taste transduction”, and “GABA receptor signaling pathways”. The findings from network pharmacological analysis in this study confirmed the key role of GABAergic synapse pathway in food intake and weight increased as evidenced by previous studies.³⁷ An abnormal activation in GABA expression related to GABAergic transmission may cause a change in appetite, and obesity.^38–40 A study in mice suggested that changes in taste signaling taste signaling pathways could trigger changes in appetite, which -might lead to obesity.^41,42 Evidence revealed that the sensitivity of GABA played a crucial role in determining fat depot-selective adipose tissue macrophage infiltration in obesity.⁴³ GABA receptor binding was found to modulate obesity and prioritizing a high-fat diet.⁴⁴ Our data revealed that GABRG2 exerted crucial effects on VPA-induced dADRs and weight gain likely via multiple targets/pathways, and the potential mechanisms will be further elucidated in our on-going study.

Due to the unpredictability of ADRs occurrence, only a relatively small sample size was used in this study, which may result in non-significant differences on the frequency distribution of GABRG2 rs211037 for VPA-related ADRs from other systems. Furthermore, findings from network pharmacological analysis lacked further experimental validation including in vitro and in vivo studies. In addition, limitation of epigenetic data may limit the extent of our study. Therefore, further study with increased sample size is need to explore the role of GABRG2 rs211037 in VPA-related ADRs. GABRG2 mRNA and protein expression in different genotypes of GABRG2 rs211037 should be determined to provide insights into the molecular mechanisms of GABRG2 in drug safety for children with epilepsy.

Conclusion

In this study, gene polymorphism of GABRG2 rs211037 was correlated to drug response, dADRs and weight gain in children who received VPA. Carriers of GABRG2 rs211037 CC genotype were inclined to exhibit seizure-free to VPA and those with CT genotype conversely. GABRG2 rs211037 CC genotype tended to be a risk factor for dADRs but a protective factor for weight gain in children with VPA treatment. Ten common genes of GABRG2 in VPA-induced dADRs and weight gain were identified using network pharmacological analysis, which were involved in “GABAergic”, “taste transduction” and “GABA receptor signaling” pathways. Further study will elucidate the role of GABRG2 in VPA-related efficacy and safety and provide insights into the involved molecular mechanisms.

Abbreviations

ADRs, adverse drug reactions; ASM, anti-seizure medications; BP, biological process; cADRs, cutaneous adverse drug reactions; CC, cellular components; dADRs, digestive adverse drug reactions; GABA, gamma-amicabilityric acid; GABRG2, gamma-aminobutyric acid type A receptor subunit gamma 2; GO, Gene Ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; LEV, levetiracetam; LTG, lamotrigine; MF, molecular function; nADRs, neurogenic adverse drug reactions; OXC, oxcarbazepine; SNP, single nucleotide polymorphism; TPM, topiramate; VPA, Valproic acid.

Data Sharing Statement

The data that support the findings of this study are available from the corresponding author (Dr Xiaomei Fan) upon reasonable request.

Acknowledgments

This study was supported by the National Natural Science Foundation of China [Grant 81603185] and the Natural Science Foundation of Guangdong province [Grant 2020A1515011452].

Disclosure

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.