Abstract
GABAB receptors (GBRs) are G protein-coupled receptors that mediate the actions of the inhibitory neurotransmitter GABA in the central nervous system. Early pharmacological studies with the GBR agonist baclofen and high-affinity antagonists were instrumental in revealing both pre- and postsynaptic functions of GBRs, establishing their critical role in maintaining the excitation-inhibition balance in the brain and highlighting their potential as therapeutic targets. The molecular cloning of GBR subunits enabled the generation of GBR knock-out mouse models, allowing assignment of distinct functions to pharmacologically indistinguishable receptor subtypes and the establishment of causal links between receptor dysfunction and pathological conditions. Advances in high-throughput genomic technologies, particularly whole-exome sequencing, have uncovered hundreds of variants in the genes encoding the GBR subunits, GABBR1 and GABBR2, many of which are linked to neurological and psychiatric disorders. Functional characterization of such variants in recombinant assay systems has revealed both gain-of-function (GOF) and loss-of-function (LOF) mutations, which can now be interpreted in the context of high-resolution structural models of GBR activation. Moreover, proteomic studies have revealed that GBRs form macromolecular complexes with a diverse array of auxiliary proteins that modulate their trafficking, localization, signaling kinetics, and ion channel coupling. Variants in several of these GBR-associated proteins have now also been linked to human disease, with some shown to selectively impair presynaptic GBR functions in relevant mouse models. Here, we review the genetic evidence linking GBR dysfunction to human disease and emphasize the critical role of functional analyses of genetic variants in enhancing diagnostic precision and guiding therapeutic strategies.
1 Introduction
GBRs were first identified in 1980 by Norman Bowery and colleagues, who used baclofen—a muscle relaxant introduced in 1971 for treating spasticity—to demonstrate the existence of GABA receptors distinct from the ionotropic GABAA receptors (). GBRs are G protein-coupled receptors that modulate neurotransmission at most synapses in the brain and spinal cord (; ). They signal through Gi/o-type G proteins to regulate adenylyl cyclases, inwardly rectifying potassium (GIRK or Kir3) channels, and voltage-gated calcium channels (VGCCs). Presynaptic GBRs inhibit the release of both inhibitory and excitatory neurotransmitters by suppressing the activity of VGCCs, while postsynaptic GBRs reduce neuronal excitability by opening GIRK channels, leading to membrane hyperpolarization (Figure 1a). Through these mechanisms, GBRs modulate a broad spectrum of physiological processes, including synaptic plasticity and the regulation of excitation-inhibition balance within neural networks ().
FIGURE 1
Structurally, GBRs are heterodimers composed of GABAB1 (GB1) and GABAB2 (GB2) subunits, encoded by the GABBR1 and GABBR2 genes, respectively. GB1 subunits contain a C-terminal intracellular retention motif that prevents premature surface expression of the receptor. Dimerization with GB2 masks this motif, ensuring that only properly folded and assembled heterodimeric receptor complexes exit the endoplasmic reticulum (). Each subunit contains an extracellular venus flytrap domain (VFTD), composed of lobe 1 (LB1) and lobe 2 (LB2), a heptahelical transmembrane domain (TMD), and a C-terminal intracellular domain (Figure 1a) (; ; ; ). Within the heterodimer, GB1 binds GABA and other orthosteric ligands via its VFTD, while GB2 engages the G protein through its TMD (; ). Receptor activation involves conformational changes, including the closure of the GB1 VFTD upon agonist binding, which brings the LB2 lobes of both VFTDs into contact (; ; ; ). This interaction triggers a rearrangement of transmembrane (TM) helix interfaces from TM3-TM5/TM3-TM5 in the inactive state to TM6/TM6 in the active state, forming a shallow pocket for G protein docking at the base of the GB2 TMD. Competitive antagonists prevent the closure of the GB1 VFTD, while positive allosteric modulators (PAMs) binding at the TM6 interface stabilize the active state of the receptor (; ; ; ; ). Two GB1 isoforms, GB1a and GB1b, are generated from the GABBR1 gene via alternative promoter usage and splicing (). GB1a contains two sushi domains, SD1 and SD2, absent in GB1b (Figure 1a). This structural difference does not affect the orthosteric binding site or alter the signaling properties of GB1a/2 and GB1b/2 receptors, which remain pharmacologically indistinguishable. However, mice lacking GB1a exhibit a loss of presynaptic inhibition of VGCCs, whereas those lacking GB1b show impaired postsynaptic activation of GIRK channels. These findings highlight the critical role of the sushi domains in directing GB1a-containing receptors to presynaptic sites (; Vigot et al., 2006).
GBRs form macromolecular complexes through interactions with proteins that influence receptor localization and signaling (; ; ; ; ). Proteomic studies have identified adherens junction-associated protein 1 (AJAP1), PILR-associated neural protein (PIANP), and potassium channel tetramerization domain-containing proteins—KCTD8, KCTD12, and KCTD16—as being predominantly or exclusively associated with GBRs (; ; ) (Figure 1a). AJAP1 and PIANP interact with the N-terminal SD1 of the presynaptically expressed GB1a subunit (; ; ). AJAP1 is selectively expressed in dendrites and recruits GBRs to presynaptic sites through a trans-synaptic mechanism (; ) (Figure 1b). PIANP is expressed in both axons and dendrites, yet its role in the context of GBRs remains poorly understood (; Winkler et al., 2020) (Figure 1b). The KCTD proteins function as auxiliary subunits of GBRs, interacting with the C-terminal domain of GB2 and the Gβγ subunits of the G protein, thereby stabilizing the G protein at the receptor (; Turecek et al., 2014) (Figure 1a). This dual interaction with the receptor and the G protein allows KCTD proteins to modulate both the activation and deactivation kinetics of G protein signaling (; ; Turecek et al., 2014). Proteomic analyses have further revealed a broader network of non-exclusive protein interactions with GBRs, including amyloid precursor protein (APP) (; ; ; ), synaptotagmin-11 (Syt11) (Trovo et al., 2024), hyperpolarization-activated cyclic nucleotide-gated (HCN) channels (; ), VGCCs (; Trovo et al., 2024), and transient receptor potential vanilloid 1 (TRPV1) channels (). APP is required for efficient axonal trafficking of GBRs to presynaptic release sites (), while Syt11 promotes the preassembly of the GBR-KCTD16-VGCC signaling complex prior to its delivery to the plasma membrane (Trovo et al., 2024). Consequently, mice lacking either Syt11 or APP exhibit impaired presynaptic GBR-mediated inhibition of neurotransmitter release (; Trovo et al., 2024). The interaction between HCN channels and GBRs, mediated by KCTD16, facilitates HCN channel activation during postsynaptic hyperpolarization, thereby providing a negative feedback mechanism that curtails the duration of inhibition ().
Consistent with their essential role in the temporal regulation of neuronal activity and the maintenance of excitation-inhibition balance within neural networks, biochemical and pharmacological studies have now established causal links between variants of uncertain significance (VUS) in the genes for GBR subunits and associated proteins in broad spectrum of neurodevelopmental disorders. These include neurodevelopmental disorder with language delay and variable cognitive abnormalities (NEDLC), neurodevelopmental disorder with poor language and loss of hand skills (NDPLHS), developmental and epileptic encephalopathy 59 (DEE59), intellectual disability (ID), and autism spectrum disorder (ASD). In this review, we explore the role of GBRs in human disease, with particular focus on missense and deletion variants that implicate GBR subunits and key interacting proteins—AJAP1 and PIANP—in disease pathogenesis.
2 Expression and autoantibody studies implicating GBRs in disease
Early investigations to explore potential links to disease focused on changes in GBR protein and transcript expression in brain tissue from patients. For example, quantitative autoradiography using [3H]-GABA or high-affinity GBR antagonists like [3H]-CGP62349, along with immunocytochemistry on hippocampal tissue from patients with temporal lobe epilepsy, supported a reduced GBR density compared to postmortem controls (; ; Vlachou, 2022). Altered transcript expression levels and redistribution of GBR subunits have also been observed in the postmortem brains of patients with epilepsy, schizophrenia, autism, bipolar disorder, fragile X syndrome, and Alzheimer’s disease (; ; ; ; ). Although such expression studies have suggested a role for GBRs in disease, their informative value is limited, as they cannot distinguish whether observed changes in receptor protein or transcript levels reflect adaptive responses to the disease or its treatment, or whether they contribute directly to disease pathogenesis.
Compelling evidence for a direct role of GBRs in the etiology of epilepsy comes from studies showing that autoantibodies targeting GBRs may contribute to autoimmune epilepsy by disrupting receptor expression or interfering with receptor signaling (; van Coevorden-Hameete et al., 2019). Notably, autoantibodies against the auxiliary GBR subunit KCTD16 have been detected alongside those targeting the GB1 subunit in patients with encephalitis, further implicating GBRs in the pathogenesis of the disease (van Coevorden-Hameete et al., 2019).
3 Pharmacological implications of GBRs in disease
Baclofen (Lioresal®), a lipophilic analog of γ-aminobutyric acid (GABA), was initially developed in the 1960s as an antiepileptic agent (Urwyler, 2011). Although it proved ineffective for epilepsy, it was approved in 1971 for the treatment of spasticity associated with conditions such as multiple sclerosis and spinal cord injury. In 1980, baclofen was shown to be a selective agonist of GBRs (). Baclofen has been explored off-label for various conditions. However, its broader therapeutic application is limited by side effects such as sedation, dizziness, and muscle weakness, as well as by the development of tolerance with prolonged use. Notably, baclofen has been studied extensively for the treatment of alcohol dependence and withdrawal. In 2018, it received formal market authorization in France for the management of alcohol use disorders (). Gamma-hydroxybutyrate (GHB; Xyrem®), a partial agonist at GBRs (), is approved for the treatment of excessive daytime sleepiness and cataplexy in patients with narcolepsy (). Despite its clinical utility, GHB is classified as a Schedule I controlled substance in the United States outside approved medical use, due to its potent central nervous system depressant effects and high potential for abuse—particularly its involvement in drug-facilitated sexual assault. PAMs of GBRs provide a more selective therapeutic approach than orthosteric agonists, as they enhance the actions of endogenous GABA by increasing the receptor’s affinity and/or efficacy (Urwyler, 2011). PAMs modulate GBRs in a manner that more closely mirrors the receptors’ endogenous temporal and spatial activation patterns, thereby reducing the risk of adverse effects. PAMs of GBRs generally do not produce sedation, hypothermia, or muscle relaxation. Preclinical studies have demonstrated the therapeutic potential of PAMs across a range of conditions, including spasticity, epilepsy, depression, anxiety, pain, and substance use disorders (; ; ; ; ; ; ; ; Vlachou, 2022). Although baclofen and PAMs demonstrate that enhancing GBR activity can ameliorate pathological conditions, their therapeutic efficacy alone does not necessarily establish GBR hypofunction as the primary cause of these diseases. Instead, GBR agonists and PAMs are generally expected to be beneficial in disorders characterized by an increased excitation-inhibition ratio within neural networks. Nevertheless, the therapeutic effects of these compounds are often observed in conditions that mirror phenotypes seen in GBR-deficient mice (see 4.1), providing supportive evidence for a causal link between GBR hypofunction and disease pathophysiology. The low-affinity GBR antagonist SGS742 (CGP36742) has demonstrated cognition-enhancing effects in both preclinical and clinical settings (; Vlachou, 2022). However, broader exploration of GBR antagonists in disease models has been constrained by their proconvulsant liability (; Vergnes et al., 1997), which causally implicates GBR hypofunction in seizure-related hyperexcitability.
4 Genetic links between GBRs and disease
4.1 GBR-deficient mice
The cloning of GBR cDNAs () made it possible to genetically ablate individual receptor subunits in mice, thereby establishing a direct genetic link between GBR dysfunction and disease. Due to the obligate heterodimeric nature of GBRs, knockout of either the GB1 subunit (comprising the GB1a and GB1b isoforms) or the GB2 subunit results in similar synaptic deficits and pathologies (; ; ), including complete loss of both pre- and postsynaptic GBR responses, spontaneous seizures, increased susceptibility to induced seizures, cognitive impairments, hyperactivity, altered circadian activity, and hyperalgesia (; ). The occurrence of seizures in GB1 and GB2 knockout mice supports findings from antagonist studies and highlights the key role of GBRs in maintaining the excitation–inhibition balance in the brain through inhibitory signaling. Mice with a heterozygous deletion of the GB1 or GB2 subunits have not been systematically analyzed; however, available data suggest that heterozygous GB1-deficient mice exhibit only mild functional and behavioral deficits (; ). Selective ablation of the GB1a subunit abolishes presynaptic GBR-mediated inhibition of neurotransmitter release, while deletion of the GB1b subunit disrupts postsynaptic inhibition through GIRK channels (Vigot et al., 2006). Notably, only GB1a-deficient but not GB1b-deficient mice exhibit a proconvulsive phenotype (Vigot et al., 2006), highlighting the critical role of presynaptic GBRs in limiting glutamate release and preventing excessive excitation, hypersynchronous network activity, and seizure generation. Similarly, GB1a-deficient mice show pronounced impairments in learning and memory, likely due to disinhibited glutamate release and subsequent saturation of synaptic plasticity mechanisms (Vigot et al., 2006). In comparison, GB1b-deficient mice display milder phenotypes, including hyperactivity, disrupted circadian cycles, spatial memory deficits, and impaired fear conditioning, a form of associative learning (). While the therapeutic benefits of baclofen and PAMs largely align with disease phenotypes observed in GBR-deficient mice, the cognition-enhancing effects of the GBR antagonist SGS742 () appear at odds with the pronounced learning and memory deficits reported in GBR-deficient mouse models.
4.2 Pathogenic GABBR1 and GABBR2 variants in humans
Genetic and genomic technologies provide powerful tools for identifying variants in GABBR1 and GABBR2 that may predispose individuals to disease or directly contribute its pathogenesis. Given the broad expression of GBRs throughout the central nervous system, and the diverse pathologies observed in GBR-deficient mice, genetic variants that impair receptor function are likely to contribute to disease (; ). Genome-wide association studies (GWAS Catalog, https://www.ebi.ac.uk/gw intellectual disability as/) have identified single nucleotide polymorphisms and other genetic variants in GABBR1 and GABBR2 that are associated with schizophrenia, anxiety and depression/mood disorders, autism spectrum disorder (ASD), post-traumatic stress disorder, alcohol use disorder, insomnia, Alzheimer’s disease, and pain (Table 1). Based on statistical significance and replication across independent cohorts, the strongest genetic associations have been identified for depression and schizophrenia. However, since all GWAS-associated variants in GABBR1 and GABBR2 reside in non-coding regions, their impact on GBR function remains unclear. Non-coding variants are thought to influence disease by modulating gene expression or alternative splicing of transcript isoforms. Their regulatory effects are often modest and cell-type specific, which further complicates the functional validation of disease-associated variants (; Wainberg et al., 2022).
TABLE 1
| Disorder | Number of affected | Gene associated | Most significant SNP | P Value | References |
|---|---|---|---|---|---|
| AD | 18,892 | GABBR1 | rs148032752 intron variant | 2 × 10e-12 | |
| ASD | 18,381 | GABBR1 | rs740883 intron variant | 1 × 10e-6 | |
| Depression | 224,871 | GABBR1 | rs1235162 intron variant | 3 × 10e-16 | |
| Depression | 113,769 | GABBR1 | rs1233393 intron variant | 8 × 10e-13 | |
| Depression | 357,957 | GABBR1 | rs28893517 intron variant | 5 × 10e-10 | |
| Depression | 5919 | GABBR1 | rs28986306 intron variants | 2 × 10e-9 | |
| Depression | 16,301 | GABBR1 | rs926552 3′UTR variant | 4 × 10e-8 | |
| Insomnia | 593,724 | GABBR1 | rs28359963 intron variant | 4 × 10e-9 | Watanabe et al. (2022) |
| Pain | 360,311 | GABBR1 SUMO2P1 | rs1233380 intergenic variant | 2 × 10e-9 | |
| Schizophrenia | 4384 | GABBR1 | rs115070292 intron variant | 5 × 10e-10 | Yu et al. (2017) |
| AD | 3946 | GABBR2 | rs3824497 intron variant | 4 × 10e-6 | |
| Alcohol use disorder | 8009 | GABBR2 TBC1D2 | rs10818696 intergenic variant | 4 × 10e-6 | |
| Depression | 66,200 | GABBR2 | rs80024556 intron variant | 2 × 10e-6 | |
| PTSD | 764 | GABBR2 | rs2779551 intron variant | 2 × 10e-6 | Xie et al. (2013) |
| Schizophrenia | 74,776 | GABBR2 | rs10985811 intron variant | 1 × 10e-9 | Trubetskoy et al. (2022) |
| Schizophrenia | 96,806 | GABBR2 | rs7869257 intron variant | 2 × 10e-8 | |
| Schizophrenia | 37,581 | GABBR2 | rs16914811 intron variant | 6 × 10e-7 | |
| Schizophrenia | 47,663 | GABBR2 | rs3824451 intron variant | 2 × 10e-7 | |
| Brain size | 557 | KCTD8 | rs716890 intron variant | 5 × 10e-9 | |
| ASD | 36 | KCTD12 RN7SL571P | rs9573902 intergenic variant | 9 × 10e-6 | |
| Bipolar disorder | 1409 | KCTD12 BTF3P11 | rs2073831 intergenic variant | 9 × 10e-6 | |
| Brain shape | 19,670 | KCTD12 RN7SL571P | rs4536347 intergenic variant | 3 × 10e-8 | |
| Depression | 5314 | KCTD12 RN7SL571P | rs144999906 intergenic variant | 6 × 10e-6 | |
| Rumination | 1758 | KCTD12 BTF3P11 | rs674041 intragenic variant | 9 × 10e-6 | |
| Alcohol use disorder | 272,842 | KCTD16 RN7SKP246 | rs185177474 intergenic variant | 2 × 10e-8 | |
| Insomnia | 593,724 | KCTD16 RN7SKP246 | rs463245 intergenic variant | 6 × 10e-11 | Watanabe et al. (2022) |
| Opioid addiction | 16,059 | KCTD16 RN7SKP246 | rs358664 intergenic variant | 4 × 10e-5 | |
| Insomnia | 593,724 | AJAP1 | rs61765001 5′UTR variant | 1 × 10e-8 | Watanabe et al. (2022) |
| Dementia | 44,009 | AJAP1 LINC01646 | rs4654450 intergenic variant | 3 × 10e-7 |
GWAS implicating GBRs in human disease.
AD, Alzheimer’s disease; ADHD, attention-deficit/hyperactivity disorder; ASD, autism spectrum disorder; PTSD, post-traumatic stress disorder.
In contrast to non-coding GWAS variants, missense variants identified through whole-exome sequencing (WES) in affected individuals offer a more direct and potentially causal link to disease. GABBR1 and GABBR2 are classified as haploinsufficient genes, as indicated by their LOF intolerance (pLI) scores of 1 in the gnomAD database (https://gnomad.broadinstitute.org/), indicating strong selective pressure against protein-truncating variants. In contrast, mouse models with heterozygous deletion of Gabbr1 exhibit only mild functional or behavioral deficits (; ), suggesting species-specific differences in dosage sensitivity or compensatory mechanisms. Both genes also exhibit significant constraint against missense variation, with missense Z-scores of 5.54 (GABBR1) and 4.11 (GABBR2) in gnomAD, suggesting that protein-altering mutations are generally not well tolerated and are more likely to be deleterious and potentially disease-causing. ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/), a database documenting human genetic variants and their clinical significance, reports 80 missense variants in GABBR1 and 433 in GABBR2 (Figure 2). Among these, seven monoallelic de novo variants in GABBR1 and fourteen in GABBR2 are classified as pathogenic or likely pathogenic. Additional variants with strong evidence of pathogenicity have been reported in the literature but have not yet been included into ClinVar. These variants are listed in Table 2 (GABBR1) and Table 3 (GABBR2), and have been mapped onto the structural model of GBRs (Figure 3). The missense tolerance ratio (MTR) provides a codon-level measure of selective constraint derived from human population sequencing data (Traynelis et al., 2017). Many, though not all, pathogenic variants in GABBR1 and GABBR2 cluster in regions with low MTR scores, consistent with strong purifying selection against amino acid substitutions in these regions (Figure 2). Due to limited functional validation and incomplete clinical annotation, most missense variants in these genes are currently classified as VUS (). Nonetheless, several of these VUS have been identified in individuals with phenotypes consistent with GBR-related disorders (Figure 2). Notably, many of these VUS are located in low-MTR regions, particularly within GABBR2, supporting that they may be pathogenic and warrant further investigation.
FIGURE 2
FIGURE 3
TABLE 2
| Protein | Receptor | Condition | gnomAD (v.4.1.0) | CADD | REVEL | AlphaMissense | Functional validation | References |
|---|---|---|---|---|---|---|---|---|
| p.Gly110Ala | SD2 | NEDLC | absent | 27.7 | 0.735 | 0.7648 | no | ClinVar |
| p.Ser321Leu | VFTD | NEDLC, epilepsy | 6.20e-7 | 33 | 0.675 | 0.8519 | yes | |
| p.Glu368Asp | VFTD | NEDLC, epilepsy | absent | 24.1 | 0.605 | 0.9925 | yes | ClinVar ( |
| p.Ala397Val | VFTD | NEDLC, ADHD | absent | 32 | 0.668 | 0.8618 | yes | ClinVar ( |
| p.Gly531Ser | VFTD | NEDLC, ASD | absent | 32 | 0.874 | 0.9945 | yes | DECIPHER |
| p.Ala535Thr | VFTD | NEDLC | absent | 29.5 | 0.586 | 0.9261 | yes | ClinVar ( |
| p.Gly673Asp | TM3 | NEDLC, ASD, ADHD | absent | 31 | 0.951 | 0.9993 | yes | ClinVar ( |
| p.Ile809Ser | TM6 | NEDLC, ASD, ADHD, epilepsy | absent | 32 | 0.897 | 0.996 | yes | |
| p.Ile847Val | TM7 | NEDLC, ASD | absent | 23.9 | 0.507 | 0.4329 | yes | |
| p.Leu849Pro | TM7 | NEDLC | absent | 29.9 | 0.964 | 0.999 | no | ClinVar |
GABBR1 missense variants.
Score thresholds: CADD (range 0–99) benign ≤22.7, deleterious ≥25.3; REVEL (range 0–1) benign ≤0.29, deleterious ≥0.644; AlphaMissense (range 0–1) benign <0.34, deleterious >0.654. ASD, autism spectrum disorder; ADHD, attention-deficit/hyperactivity disorder; NEDLC, neurodevelopmental disorder with language delay and variable cognitive abnormalities (OMIM #620502).
TABLE 3
| Protein | Receptor | Condition | gnomAD (v.4.1.0) | CADD | REVEL | Alpha Missense | Functional validation | References |
|---|---|---|---|---|---|---|---|---|
| p.Asp165Tyr | VFTD | NDPLHS | absent | 30 | 0.495 | 0.9335 | yes | ClinVar |
| p.Arg212Gln | VFTD | NDPLHS, ASD | absent | 24.5 | 0.486 | 0.6491 | yes | ClinVar ( |
| p.Thr334Ile | VFTD | epileptic encephalopathy | absent | 33 | 0.622 | 0.9453 | no | |
| p.Thr394Met | VFTD | global developmental delay, epileptic encephalopathy | 3.098e-5 | 25.4 | 0.307 | 0.096 | no | ClinVar DECIPHER |
| p.Gln430Pro | VFTD | NDPLHS, ADHD, ASD | absent | 28 | 0.537 | 0.998 | yes | |
| p.Gly440Arg | VFTD | NDPLHS, epilepsy | absent | 29.8 | 0.738 | 0.9987 | no | |
| p.Ala567Thr | TM3 | NDPLHS, epileptic encephalopathy | absent | 28 | 0.749 | 0.8207 | yes | ClinVar DECIPHER ( |
| p.Ala567Val | TM3 | epileptic encephalopathy | absent | 32 | 0.833 | 0.9385 | no | ClinVar |
| p.Met668Leu | TM5 | Infantile-onset epilepsy | absent | 22 | 0.597 | 0.3872 | no | |
| p.Glu677Lys | TM5-TM6 cytoplasmic loop | DEE59 | absent | 32 | 0.808 | 0.9974 | no | ClinVar |
| p.Tyr691Cys | TM5-TM6 cytoplasmic loop | DEE59 | absent | 32 | 0.931 | 0.9603 | no | ClinVar |
| p.Gly693Trp | TM6 | DEE59 | absent | 33 | 0.931 | 0.9995 | yes | ClinVar ( |
| p.Ser695Ile | TM6 | DEE59 | absent | 32 | 0.97 | 0.9968 | yes | ClinVar; EuroEPINO MICS 2014 ( |
| p.Ser695Asn | TM6 | DEE59, IESS, NDPLHS | absent | 31 | 0.851 | 0.9931 | no | ClinVar ( |
| p.Met702Ile | TM6 | ID | absent | 29.7 | 0.792 | 0.9951 | no | ClinVar |
| p.Met702Val | TM6 | NDPLHS | absent | 24.2 | 0.77 | 0.826 | yes | |
| p.Ile705Asn | TM6 | DEE59 | absent | 33 | 0.909 | 0.9953 | yes | ClinVar; EuroEPINO MICS 2014 ( |
| p.Ala707Thr | TM6 | DEE59 NDPLHS | absent | 26.3 | 0.772 | 0.8568 | yes | ClinVar ( |
GABBR2 missense variants.
Score thresholds: CADD (range 0–99) benign ≤22.7, deleterious ≥25.3; REVEL (range 0–1) benign ≤0.29, deleterious ≥0.644; AlphaMissense (range 0–1) benign <0.34, deleterious >0.654. ASD, autism spectrum disorder; ADHD, attention-deficit/hyperactivity disorder; ID, intellectual disability; IESS, infantile epileptic spasms syndrome; NDPLHS, neurodevelopmental disorder with poor language and loss of hand skills (OMIM #617903); DEE59, developmental and epileptic encephalopathy 59 (OMIM #617904).
Several algorithms have been developed to predict the pathogenicity of single nucleotide variants (
FIGURE 4

Computational pathogenicity prediction scores for missense variants listed in ClinVar (source: dbNSFP v.5.1). Variants were assessed using the CADD, REVEL and AlphaMissense prediction tools. Data are shown as violin plots, with the median (solid black line) and the first and third quartiles (dotted lines) indicated. For comparison, the scores of pathogenic/likely pathogenic variants from Tables 2,3 (GABBR1 and GABBR2) are shown on the right, with their median values marked. The scores for each of these variants are provided in Tables 2,3. Dashed horizontal lines denote the deleteriousness thresholds specific to each prediction tool, above which variants are predicted to affect protein function and are thus considered potentially pathogenic.
Pathogenic variants in GABBR1 are commonly associated with a clinical phenotype that includes neurodevelopmental delay and/or epilepsy (
While computational predictions are valuable for assessing the potential pathogenicity of variants, functional studies are essential to determine their impact on protein function, including whether they cause GOF or LOF effects and to what extent these alterations influence receptor activity. Furthermore, functional studies help elucidate molecular disease mechanisms—an essential step toward accurate diagnosis and the development of targeted therapies. Cell-based assay systems that enable direct and selective measurement of GBR activity have proven to be both cost-effective and highly informative for functionally characterizing missense variants in GABBR1 and GABBR2 (
The in vivo effects of constitutively active variants are likely to be complex and context-dependent. Under conditions of low ambient GABA, constitutive activity and increased GABA potency may enhance GBR signaling, producing a GOF effect. In contrast, during periods of elevated synaptic GABA concentrations, reduced GABA efficacy could lead to a net LOF. While inverse agonists can suppress constitutive receptor activity, they risk further dampening GABA-mediated signaling during synaptic transmission, potentially exacerbating functional deficits. Functional studies in transfected neurons suggest that certain constitutively active GABBR2 variants disrupt receptor trafficking to the neuronal surface, resulting in reduced signaling efficacy and contributing to presynaptic hyperexcitability (
Interestingly, both LOF and GOF variants can give rise to overlapping clinical phenotypes (Table 4). As noted above, GOF effects driven by constitutive receptor activity are accompanied by a reduced responsiveness to synaptic GABA, effectively resulting in a concomitant LOF. In addition, both types of variants may disrupt homeostatic mechanisms critical for maintaining neural network stability and the balance between excitation and inhibition (Vertkin et al., 2015). Such disruption likely contributes to the etiology of neurological and psychiatric disorders, including epilepsy, ID, and ASD (
TABLE 4
| Protein | Gene | Effect | Pharmacology | Surface expression | Condition |
|---|---|---|---|---|---|
| p.Gly531Ser | GABBR1 | GOF | full constitutive activity | reduced | NEDLC, ASD |
| p.Ile809Ser | GABBR1 | GOF | partial constitutive activity, increased potency | normal | NEDLC, ASD, ADHD, epilepsy |
| p.Ile847Val | GABBR1 | GOF | partial constitutive activity, increased potency | normal | NEDLC, ASD |
| p.Asp165Tyr | GABBR2 | GOF | partial constitutive activity, increased potency | reduced | NDPLHS |
| p.Arg212Gln | GABBR2 | GOF | partial constitutive activity, increased potency | reduced | NDPLHS, ASD |
| p.Ala567Thr | GABBR2 | GOF | partial constitutive activity | normal | NDPLHS, epileptic encephalopathy |
| p.Ser695Ile | GABBR2 | GOF | full constitutive activity | normal | DEE59 |
| p.Met702Val | GABBR2 | GOF | partial constitutive activity, increased potency | normal | NDPLHS |
| p.Ile705Asn | GABBR2 | GOF | partial constitutive activity | normal | DEE59 |
| p.Ala707Thr | GABBR2 | GOF | partial constitutive activity | normal | DEE59, NDPLHS |
| p.Ser321Leu | GABBR1 | LOF | reduced potency | normal | NEDLC, epilepsy |
| p.Glu368Asp | GABBR1 | LOF | reduced potency, reduced efficacy | reduced | NEDLC, epilepsy |
| p.Ala397Val | GABBR1 | LOF | reduced efficacy | normal | NEDLC, ADHD |
| p.Ala535Thr | GABBR1 | LOF | reduced efficacy | normal | NEDLC |
| p.Gly673Asp | GABBR1 | LOF | no response | absent | NEDLC, ASD, ADHD |
| p.Gln430Pro | GABBR2 | LOF | no response | absent | NDPLHS, ADHD, ASD |
GOF and LOF variants in GABBR1 and GABBR2.
Main pharmacological effects and associated conditions of gain-of-function (GOF) and loss-off-function (LOF) variants in GABBR1 and GABBR2. ADHD, attention-deficit/hyperactivity disorder; ASD, autism spectrum disorder; DEE59, developmental and epileptic encephalopathy 59 (OMIM #617904); NDPLHS, neurodevelopmental disorder with poor language and loss of hand skills (OMIM #617903); NEDLC, neurodevelopmental disorder with language delay and variable cognitive abnormalities (OMIM #620502).
4.3 AJAP1 variants
Proteomic analyses of brain tissue have identified AJAP1 as a primary interaction partner of GBRs (
Genetic variants in genes encoding GBR-associated proteins, such as AJAP1, may contribute to diseases resulting from GBR dysfunction. GWAS studies have implicated non-coding AJAP1 variants in insomnia and dementia (Table 1). WES and chromosomal microarray analysis have identified individuals carrying either the AJAP1 missense variant p.Trp183Cys, the frameshift variant p.I271Ffs*24, the splice-site variant c.917 + 1G>C, or a complete deletion (Table 5) (
TABLE 5
| Gene | Protein/Variant | Conditions | gnomAD (v.4.1.0) | CADD | REVEL | Alpha Missense | Functional validation | References |
|---|---|---|---|---|---|---|---|---|
| PIANP | p.Arg172Pro heterozygous | musculoskeletal and nervous system abnormalities | absent | 24.5 | 0.198 | 0.1709 | no | DECIPHER |
| PIANP | p.Arg114* homozygous | global developmental delay, bilateral cryptorchidism, hypotonia | 6.20e-7 | 38.0 | no | |||
| AJAP1 | p.Trp183Cys heterozygous | epilepsy | absent | 29.3 | 0.759 | 0.9982 | yes | |
| AJAP1 | p.Pro242Ser nonmaternal (father not available) | epilepsy, global developmental delay, motor delay, nonverbal, hypertonia, ID | 1.25e-6 | 21.9 | 0.042 | 0.0875 | yes, benign | |
| AJAP1 | p.Ile271Phefs*24 heterozygous | epilepsy, global developmental delay, motor delay, nonverbal, ASD, tourette syndrome hypotonia | absent | yes | ||||
| AJAP1 | AJAP1 deletion chr1:4,505,547-5,384,043 (hg38) paternal (mosaic) | speech delay, epilepsy, ID, hypotonia | no | |||||
| AJAP1 | c.917 + 1G>C NM_018836.4 heterozygous | speech delay, ID | absent | 35 | no |
AJAP1 and PIANP missense and deletion variants.
Score thresholds: CADD (range 0–99) benign ≤22.7, deleterious ≥25.3; REVEL (range 0–1) benign ≤0.29, deleterious ≥0.644; AlphaMissense (range 0–1) benign <0.34, deleterious >0.654. ASD, autism spectrum disorder; ID, intellectual disability.
To strengthen a causal link between the p.Trp183Cys variant and GBR dysfunction, mice carrying the orthologous Ajap1 p.Trp183Cys variant were generated. Heterozygous Ajap1Trp183Cys/+ mice mimic the monoallelic p.Trp183Cys genotype observed in patients, enabling the investigation of GBR dysfunctions in the brain. Ultrastructural analysis revealed a significant reduction in presynaptic GBR levels in Ajap1Trp183Cys/+ mice, demonstrating that replacement of tryptophan 183 impairs AJAP1’s ability to recruit GBRs to synaptic terminals (Figure 5). As a consequence, Ajap1Trp183Cys/+ mice exhibited reduced GBR-mediated presynaptic inhibition at both excitatory and inhibitory synapses, along with impaired synaptic plasticity. Similar synaptic deficits were observed in Ajap1−/+ mice, which model the heterozygous deletion of AJAP1 seen in patients. Both Ajap1Trp183Cys/+ and Ajap1−/+ mice thus phenocopy the synaptic impairments reported in GB1a−/− mice, which lack presynaptic GBRs (Vigot et al., 2006). Individuals with heterozygous LOF alleles in AJAP1 therefore represent the first clinical cases of presynaptic GBR dysfunction.
FIGURE 5

The pathogenic monoallelic de novo AJAP1 p.Trp183Cys variant disrupts presynaptic GBR localization and function. (a) Under normal conditions, postsynaptic AJAP1 recruits GB1a/2 receptors to presynaptic terminals via a trans-synaptic interaction with the SD1 of the GB1a subunit. Presynaptic GB1a/2s receptors inhibit VGCCs (not shown), thereby regulating neurotransmitter release at both GABAergic and glutamatergic synapses. Ionotropic GABA or glutamate receptors are depicted in the postsynaptic membrane, along with inward currents (arrow). (b) In Ajap1−/− mice, the absence of AJAP1 impairs presynaptic GBR recruitment, leading to reduced inhibitory control over GABA and glutamate release, and resulting in deficits in synaptic plasticity. (c) The pathogenic monoallelic de novo AJAP1 p.Trp183Cys variant, modeled in AjapTrp183Cys/+ mice, replicates the synaptic dysfunction observed in Ajap1−/− mice. This variant has a dysfunctional SD1 binding site, thereby impairing presynaptic localization of GBRs. As a result, GBR-mediated inhibition of neurotransmitter release is reduced, leading to deficits in synaptic plasticity and, in affected individuals, to seizures.
4.4 PIANP variants
PIANP is a single-pass transmembrane protein with sequence homology to AJAP1 (
A case study described a boy with a homozygous nonsense variant in PIANP, who presented with global developmental delay (Winkler et al., 2020;
4.5 KCTD8, KCTD12 and KCTD16 variants
KCTD8, KCTD12, and KCTD16 interact with most GBRs in the brain and are considered auxiliary subunits of the receptor (
5 Conclusion
Early pharmacological studies were instrumental in uncovering potential disease associations and suggesting therapeutic indications for GBR agonists and antagonists. Today, advances in genetic and genomic technologies enable the establishment of firm causal links between gene variants and human disease. As a widely adopted diagnostic tool, WES has facilitated the discovery of numerous missense variants in GABBR1 and GABBR2—currently 80 in GABBR1 and 433 in GABBR2, according to the ClinVar database at the time of this review. Missense and deletion variants have also been identified in AJAP1 and PIANP, two proteins that selectively interact with presynaptic GBRs. Recombinant in vitro assays and mouse models have enabled the causal linking of several missense and deletion variants in GABBR1, GABBR2, AJAP1, and PIANP to a spectrum of neurodevelopmental disorders, including epileptic encephalopathy, Rett-like syndrome, global developmental delay, ID, ASD, and motor disorders. Among these, epilepsy is a frequent condition in individuals with GABBR1 and GABBR2 variants, consistent with the increased excitation–inhibition ratio and seizure susceptibility observed in GBR-deficient mice. While GABBR1 and GABBR2 variants affect both pre- and postsynaptic GBRs, AJAP1 variants selectively impair presynaptic GBRs but result in clinical manifestations similar to LOF variants in GABBR1 or GABBR2. In general, human phenotypes extend and refine insights gained from mouse models carrying equivalent variants. While such models are valuable for dissecting synaptic mechanisms, they have limited predictive power for complex neuropsychiatric and cognitive outcomes. Conversely, hyperalgesia—a robust phenotype in GBR-deficient mice—has not yet been causally linked to any known pathogenic variants in humans.
A large number of GABBR1 and GABBR2 VUS in ClinVar are found in individuals with phenotypes typically associated with GBR-related disorders, and many of these VUS receive high pathogenicity scores from in silico prediction tools. This suggests that a substantial proportion of currently unclassified variants may, in fact, be disease-causing. Functional validation in recombinant assay systems offers a rapid and cost-effective approach to assess the impact of such VUS on GBR function. These assays can discriminate between LOF and GOF effects, thereby facilitating the establishment of mechanistic links between receptor dysfunction and specific disease phenotypes. Notably, variants exhibiting similar properties in functional assay systems have been classified under distinct clinical diagnoses—for example, epileptic encephalopathy (EE) or Rett-like syndromes. This highlights the value of recombinant functional assays in enabling more accurate molecular diagnoses and refining genotype-phenotype correlations in affected individuals. A major bottleneck, however, is the limited availability of such functional platforms in clinical diagnostic settings—underscoring the need for scalable, robust assay systems and improved computational tools. Promising advances include the use of molecular dynamics simulations, which have been applied to predict constitutively active GBR states and to enhance conventional pathogenicity assessments. In addition, variants in GBR-associated proteins—such as Syt11, APP, and channels including VGCCs, HCN, and TRPV1—may contribute to GBR dysfunction and disease. However, as these proteins either modulate GBR trafficking or act as downstream effectors, their functional impact is challenging to assess using standard recombinant assay systems.
Accurate genetic diagnosis and a mechanistic understanding of disease pathology form the foundation for developing targeted, individualized treatment strategies. In the case of GBRs, a broad pharmacological toolkit is already available, including agonists, inverse agonists, and both positive and negative allosteric modulators. In principle, CRISPR/Cas technologies can be used to rapidly generate mouse models carrying specific, recurrent pathogenic variants—such as GABBR2 p.Ala567Thr—providing a powerful platform for testing pharmacological interventions and advancing precision medicine approaches.
Statements
Author contributions
MG: Conceptualization., Writing – original draft, Writing – review and editing, Visualization. MS: Conceptualization, Writing – original draft, Writing – review and editing, Visualization. SA: Conceptualization, Writing – original draft, Writing – review and editing, Visualization, Funding acquisition. BB: Conceptualization, Writing – original draft, Writing – review and editing, Visualization, Funding acquisition.
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by grants from the Swiss National Science Foundation to BB (grant numbers 31003A-172881 and 310030B-201291). S.E.A is supported by the Childcare Foundation.
Conflict of interest
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.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Publisher’s note
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Summary
Keywords
GABBR1, GABBR2, AJAP1, PIANP, neurodevelopmental disorders, epileptic encephalopathy, rett syndrome, autism spectrum disorder
Citation
Gassmann M, Stawarski M, Antonarakis SE and Bettler B (2025) Genetic implication of GABAB receptors in the etiology of neurological and psychiatric disorders. Front. Pharmacol. 16:1634128. doi: 10.3389/fphar.2025.1634128
Received
23 May 2025
Accepted
01 July 2025
Published
18 July 2025
Volume
16 - 2025
Edited by
Kimberly Frances Raab-Graham, Wake Forest University, United States
Reviewed by
Shekher Mohan, College of Osteopatic Medicine, United States
Darrin Brager, The University of Texas at Austin, United States
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© 2025 Gassmann, Stawarski, Antonarakis and Bettler.
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*Correspondence: Bernhard Bettler, bernhard.bettler@unibas.ch
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