You are currently viewing a new version of our website. To view the old version click .
International Journal of Molecular Sciences
  • Review
  • Open Access

19 August 2023

Molecular Mechanisms Underlying NMDARs Dysfunction and Their Role in ADHD Pathogenesis

,
,
,
,
,
,
,
and
1
Department of Clinical Chemistry and Biochemistry, Medical University of Lodz, Mazowiecka 5, 92-215 Lodz, Poland
2
Department of Affective and Psychotic Disorders, Medical University of Lodz, Czechoslowacka 8/10, 92-216 Lodz, Poland
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
This article belongs to the Section Molecular Neurobiology

Abstract

Attention deficit hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders, although the aetiology of ADHD is not yet understood. One proposed theory for developing ADHD is N-methyl-D-aspartate receptors (NMDARs) dysfunction. NMDARs are involved in regulating synaptic plasticity and memory function in the brain. Abnormal expression or polymorphism of some genes associated with ADHD results in NMDAR dysfunction. Correspondingly, NMDAR malfunction in animal models results in ADHD-like symptoms, such as impulsivity and hyperactivity. Currently, there are no drugs for ADHD that specifically target NMDARs. However, NMDAR-stabilizing drugs have shown promise in improving ADHD symptoms with fewer side effects than the currently most widely used psychostimulant in ADHD treatment, methylphenidate. In this review, we outline the molecular and genetic basis of NMDAR malfunction and how it affects the course of ADHD. We also present new therapeutic options related to treating ADHD by targeting NMDAR.

1. Introduction

Attention deficit hyperactivity disorder (ADHD) is one of the most frequent disorders in child and adolescent psychiatry [1]. According to the International Classification of Diseases 11th Revision (ICD-11), ADHD is characterized by recurrent patterns of impulsivity, hyperactivity, and inattention that persist for a minimum of six months and significantly impair daily functioning. Symptoms of ADHD typically appear before the age of 12 but can be diagnosed later in adolescence or adulthood when demands exceed coping capacities. Inattention refers to significant difficulty in concentration on tasks that do not provide a high level of stimulation or frequent rewards [2]. Individuals with ADHD often struggle to focus on tasks or instructions, frequently becoming easily distracted, which hinders their academic performance [3]. Hyperactivity, on the other hand, refers to excessive motor activity and difficulties with maintaining quiet engagement in activities, most evident in structured situations that require behavioural self-control. Impulsivity is defined as a tendency to act in response to immediate stimuli, without deliberation or consideration of the risks and consequences. The preponderance of specific symptoms allows for the classification of ADHD into three primary presentations: predominantly inattentive, predominantly hyperactive-impulsive, and combined type [2]. ADHD is associated with a higher risk of many mental disorders, such as depression or alcohol use disorders [4,5]. Moreover, emotional dysregulation in ADHD patients affects social interactions and close relationships [6]. Despite its relatively high prevalence of over 5%, the actual aetiology of ADHD remains unknown, probably due to its multifactorial background. Multiple genes, prenatal, and perinatal factors have been indicated as risk factors for developing ADHD [7]. Numerous studies have found a strong genetic association with structural and functional changes in the brain, as well as delayed neurodevelopment in ADHD (reviewed in [8]).
Executive deficits in ADHD are associated with widespread changes in several brain regions, such as the prefrontal cortex (PFC), temporal region, basal ganglia, and hippocampus [9,10,11]. Changes in the distribution of neurotransmitters in ADHD include abnormalities in dopamine, norepinephrine, serotonin, gamma-aminobutyric acid (GABA), and glutamate levels [12,13,14]. While dopamine deficit is the best-known factor associated with ADHD, an increasing amount of evidence indicates that disrupted glutamatergic transmission also plays a significant role in the disorder pathogenesis [15,16]. Studies have shown that people with ADHD have higher levels of glutamate in the striatum [17]. In the anterior cingulate cortex (ACC), the glutamate signal is increased in paediatric patients and decreased in adults with ADHD; this suggests neurodevelopmental changes in frontostriatal glutamatergic circuits over the lifespan of ADHD patients [18]. Glutamatergic dysfunction in ACC positively correlates with core ADHD symptoms, impulsivity, and hyperactivity [19]. Glutamate signalling is also a significant regulator in ADHD treatment, as it is necessary for behavioural sensitisation to methylphenidate (currently the most widely used psychostimulant in ADHD treatment) [20]. There is also evidence that several medications directly involved in glutamatergic signalling might be useful in the treatment of compulsivity and impulsivity in paediatric patients [21]. Glutamate is responsible for neuronal excitability by activating both ionotropic and metabotropic receptors. The N-methyl-D-aspartate receptor (NMDAR) is a ligand-gated ion channel that is predominantly involved in regulating synaptic plasticity, memory, and other cognitive functions [22]. More specifically, NMDARs abundantly expressed in CA1 and CA3 regions of the hippocampus are required for the acquisition of both spatial and working memory [23,24]. In the PFC, NMDARs are crucial for attention control and their hypofunction can lead to cognitive decline and attention deficits [25]. Furthermore, proper NMDAR activity finely tunes noradrenergic signalling in the locus coeruleus, which is essential for regulating attention, impulsivity, and exploratory behaviours [26]. Also, NMDAR deletion in dopaminergic neurons causes reduced phasic dopamine release contributing to learning deficits [27]. Altogether, the mentioned studies highlight the significant impact of proper NMDAR functioning on behavioural flexibility.
The International Multi-centre ADHD Gene (IMAGE) project provided comprehensive analysis of over 50 candidate genes that substantially contribute to ADHD susceptibility. The majority of these genes are involved in the regulation of dopaminergic, noradrenergic, and serotonergic pathways [28]. However, given the growing recognition of the genes involved in regulation of glutamatergic signalling and synaptic plasticity [29,30], the potential causal role of NMDAR dysfunction in the pathogenesis of ADHD has become a new area of research interest. For this reason, this review paper is aimed to focus on the role of NMDAR dysregulation in ADHD pathophysiology, which to date has not been studied extensively and is not well-understood. NMDAR dysfunction is one of the suggested mechanisms underlying ADHD pathogenesis in humans [31], as the role of NMDAR dysregulation has been well-established in a rat model of ADHD [32,33]. The most direct evidence is possibly from patients with a rare autoimmune disorder, anti-NMDAR encephalitis, in which autoantibodies against NMDAR cause NMDAR hypofunction. Some symptoms of affected children include inattention, hyperactivity, and impulsivity, which are hallmark characteristics of ADHD [34]. Research regarding NMDAR role in ADHD might be useful in the development of novel treatment strategies, as currently most effective drugs, atomoxetine and methylphenidate, beside inhibiting monoamine reuptake, also influence NMDAR function. Low doses of methylphenidate selectively enhance NMDAR response, whereas high doses suppress it [35,36]. Atomoxetine directly acts as an NMDAR inhibitor, but it also downregulates gene expression of the NMDAR subunits [37,38]. Another NMDAR inhibitor, D-serine, has shown promising results in reducing attentional lapses in rodents [39]. Considering the emerging role of genetic factors in methylphenidate treatment response [40], herein, we would like to focus on the molecular and genetic basis of NMDAR malfunction and the way it affects the ADHD course. NMDAR dysregulation might be an important mechanism underlying the development of the disorder, and may at least by part explain the heterogeneity of patient’s symptoms. A better understanding of the role of NMDAR in the disease pathogenesis may lead to the development of novel, targeted therapies that could bring relief to ADHD patients.

2. Characterization of the N-Methyl-D-Aspartate Receptors (NMDAR)

2.1. NMDAR Structure

NMDARs are tetra-heteromers composed of the GluN1, GluN2, and GluN3 subunits. The subunits of NMDAR include two mandatory GluN1 subunits and, depending on the specific anatomical location within the brain, an additional two GluN2 or a combination of GluN2 and GluN3 subunits. There are four different types of GluN2 subunits (GluN2A, GluN2B, GluN2C, GluN2D) that can combine with the GluN1 subunit to form diverse receptor configurations [41]. Each of the mentioned subunits has a specific modular architecture with four semi-autonomous domains. The extracellular amino-terminal domain (ATD) is connected to the extracellular ligand binding domain (LBD). LBD is attached to the transmembrane domain (TMD), which forms the ion channel. TMD consists of three transmembrane helices (M1, M3, M4) and a re-entrant loop (M2), of which M1, M2 and M3 are coupled with LBD [42]. The last domain, the carboxy-terminal domain (CTD or C-tail), is localised intracellularly and is the most variable in terms of amino acid sequence [43]. Activation of the receptor, associated with removing the magnesium block from the channel and increase in calcium permeability, requires binding of a ligand and prior membrane depolarisation. Glutamate, the NMDAR agonist, binds to the GluN2 subunit, but additional binding of co-agonist glycine to the GluN1 subunit is required for efficient opening of the channel [44]. The binding of both glutamate and glycine closes the ABD clam-shell around the agonist, followed by a conformational change in the linker and transmembrane helices, and opening of a cation-selective pore [45]. As a prior membrane depolarisation is also essential for NMDAR activation, the receptor is usually localised closely to another ionotropic glutamate receptor, namely the α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptor (AMPAR). Glutamate released from the presynaptic membrane activates the AMPAR, which allows for sodium ion influx and fast excitatory postsynaptic currents. If the intensity of the influx is sufficient for the voltage-dependent magnesium block to be removed, NMDAR permits calcium influx, which constitutes one of the essential mechanisms involved in synaptic plasticity [46] (Figure 1).
Figure 1. (A) The schematic structure of inactive GluN1/GluN2 N-methyl-D-aspartate receptor (NMDAR). Each subunit is composed of two extracellular domains: amino-terminal domain (ATD) and ligand binding domain (LBD); the transmembrane domain (TMD) consisting of three transmembrane helices (M1, M3, M4) and a re-entrant loop (M2); the intracellular carboxy-terminal domain (CTD). (B) The binding of glycine (Gly) to the GluN1 subunit and glutamate (Glu) to the GluN2 subunit triggers the closure of the ABD clam-shell around the agonists. This induces a conformational change in the linker and transmembrane helices, ultimately leading to the magnesium block removal. This in turn leads to an influx of sodium and calcium ions into the cytoplasm and an efflux of potassium ions into the extracellular space (ECS).

2.2. Long-Term Potentiation (LTP) and Long-Term Depression (LTD)

Two extensively studied NMDAR-dependent forms of synaptic plasticity associated with learning and memory are long-term potentiation (LTP) and long-term depression (LTD). As both LTP and LTD are induced by NMDAR-dependent calcium influx, the suggested differentiating factor is the level of activity or depolarisation in the postsynaptic cell. In contrast to LTP, which is triggered by significantly stronger NMDAR activation and a larger increase in postsynaptic calcium influx, LTD is triggered by modest NMDAR activation and modest increase in postsynaptic calcium influx [47]. Another hypothesised differentiating factor is the adequate synchronisation of presynaptic and postsynaptic neurons activity potentials. LTP can be induced if the presynaptic membrane is repeatedly depolarised shortly before the postsynaptic membrane, whereas LTD is triggered when a postsynaptic neuron is stimulated first [48]. In both NMDAR-dependent postsynaptic LTD and LTP, NMDAR heteromers containing GluN2A and GluN2B play a critical role [49]. In LTP, high calcium influx from the extracellular space activates multiple signalling molecules within postsynaptic cells, including calcium–calmodulin-dependent protein kinase II (CaMKII) [50]. CaMKII phosphorylates GluA1, the subunit of the AMPAR, which ultimately leads to an increased density of AMPAR in the postsynaptic membrane [51]. Activated CaMKII also induces cAMP response element-binding protein (CREB) phosphorylation. CREB is a transcription factor that regulates expression of numerous neuropeptides and is considered one of the most important factors involved in neuroplasticity and long-term memory formation. Conversely, in LTD, low calcium influx activates serine/threonine-protein phosphatase 2B (PP2B, also known as calcineurin), which dephosphorylates both CREB and the AMPAR GluA1 subunit [52,53]. Consequently, AMPAR are removed from the synapses and internalised during LTD. However, molecular mechanisms leading to LTD are more complex and not fully understood [54]. NMDAR activation during LTD can locally trigger caspase-3 activation via the mitochondrial pathway. Although global activation of caspases leads to apoptosis, restricted and localised activation may be essential for physiological, non-apoptotic mechanisms, such as synaptic remodelling and dendritic shrinkage [55]. In a mouse model, NMDAR stimulation led to rapid and temporary cytochrome c release from mitochondria [56]. Caspase 3-deficient neurons in culture did not exhibit spinal contraction in response to NMDAR stimulation. Moreover, caspase-3 knockout mice showed increased spinal density and synaptic strength, consistent with a critical role for caspase-3 in LTD. As there is a correlation between NMDAR malfunction and alterations in caspase-3 levels [57], it is not surprising that caspase-3 deficient mice exhibited inattention, impulsivity, and decreased ability to habituate to novel stimuli [58]. LTP and LTD are crucial mechanisms of synaptic plasticity involved in memory function in adults, but they are also involved in early brain development [59,60]. Interestingly, exposure to NMDAR antagonists during developmental stages in mice caused specific behavioural symptoms, resembling ADHD [61] (Figure 2).
Figure 2. The schematic representation of N-methyl-D-aspartate receptor (NMDAR)-dependent long-term potentiation (LTD) and long-term depression (LTD). High calcium influx through NMDARs along with calmodulin (CaM) induce phosphorylation of calcium-calmodulin-dependent protein kinase II (CaMKII), which triggers LTP. CaMKII phosphorylates the subunit of α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptor (AMPAR), which leads to increased receptor concentration in the postsynaptic membrane. CaMKII also induces cAMP response element-binding protein (CREB) phosphorylation. Low calcium influx activates serine/threonine-protein phosphates 2B (PP2B). PP2B dephosphorylates CREB and AMPAR subunit, thereby facilitating LTD.
LTP and LTD modulate vastly interconnected neuronal pathways providing a neurochemical foundation for learning and memory. Alterations in synaptic plasticity can lead to structural changes in neuronal networks, contributing to the cognitive and behavioural deficits observed in ADHD. Although the role of synaptic plasticity in ADHD is not fully elucidated, several genes implicated as risk factors for ADHD are linked to synaptic plasticity and neurodevelopment [62,63]. Herein, we present a concise overview of selected ADHD-associated genes and their involvement in synaptic plasticity (Table 1).
Table 1. Genes modulating synaptic plasticity and their impact on attention deficit hyperactivity disorder (ADHD) symptoms.

4. Treatment Strategies Targeting NMDAR

Given the side effects of commonly used stimulant drugs in treating ADHD, there is a need to explore alternative therapies, especially for children. Hence, the use of drugs targeting NMDAR as a treatment for ADHD is an area of ongoing research.
Amantadine and memantine are both adamantane derivatives that act as non-competitive NMDAR antagonists. These drugs have been shown to stabilise NMDAR and inhibit prolonged calcium influx, which protects neurons from excitotoxicity while preserving normal synaptic activity [174,175]. Amantadine not only acts as an NMDAR antagonist but also affects dopaminergic neurons by increasing dopamine release and preventing its reuptake. On the other hand, memantine exhibits additional antagonist activity on the serotonin type 3 (5-HT3) and nicotinic acetylcholine receptors [176,177]. Both amantadine and memantine have shown promising results in improving ADHD symptoms with fewer side effects than methylphenidate in small, randomised, double-blind clinical trials. They are well-tolerated up to doses of 150 mg/day and 20 mg/day, respectively, with temporary appetite decrease being the most common side effect [178,179]. Memantine has been examined in adult patients both as monotherapy and as an adjustment to methylphenidate treatment [180,181]. However, these studies were conducted on small sample sizes and further randomised trials with larger numbers of participants are necessary to confirm their effectiveness. It is also worth noting that there are currently no medications for ADHD that specifically target NMDAR. As a result, pharmacotherapy for ADHD largely relies on stimulant or non-stimulant medications that target the dopaminergic and noradrenergic systems. However, as mentioned before, even commonly used stimulant medications like methylphenidate can affect NMDAR function [36].
There are also other FDA-approved drugs for the monotherapy treatment of ADHD, namely atomoxetine and guanfacine, which have been found to interact with NMDAR. Atomoxetine is a presynaptic norepinephrine reuptake inhibitor that also suppresses dopamine reuptake in particular brain regions, such as the PFC [182]. In the murine ADHD model, atomoxetine affects mRNA and protein levels crucial for synaptic plasticity in the hippocampus, with a particular interest in reducing the GluN2B subunit of NMDAR [38]. Additionally, studies have shown that atomoxetine re-established LTP in the hippocampus, further emphasizing its modulatory influence on synaptic plasticity [183]. Previous research indicated that guanfacine, an α-2 adrenoceptors (α-2AR) agonist, could prevent spatial working memory deficits caused by the NMDAR antagonist phencyclidine, suggesting that α-2AR could play a significant role in cognitive deficits related to NMDA receptor hypofunction [184]. However, a recent study found that guanfacine did not directly affect tonic NMDA currents in PFC [185]. Nonetheless, it may have an indirect influence on the NMDAR function, which warrants further investigation. The mechanisms by which drugs might exert their therapeutic effect upon interactions with NMDARs are summarized in Table 2.
Table 2. Pharmacological interventions targeting n-methyl-d-aspartate receptor (NMDAR) for attention deficit hyperactivity disorder (ADHD) treatment.
It should also be kept in mind that various genetic mutations may differently affect the expression of NMDAR subunits and, in turn, exert different impact on response to treatment in ADHD patients, as presented in Table 3.
Table 3. The effect of selected polymorphisms in ADHD-susceptibility genes on response to conventional pharmacological treatment.

5. Conclusions

ADHD is a neurodevelopmental disorder commonly attributed to a complex interplay between genetic and environmental factors. Mutations and SNPs in numerous genes, including those associated with NMDAR, have been identified as genetic susceptibility factors for ADHD. These genetic variants have been shown to have regulatory effects on glutamatergic neurotransmission by regulating NMDAR function and distribution, NMDAR-dependent LTP and LTD, and synaptic plasticity. The most compelling evidence is provided by GRIN gene variants. Changes in the expression of GRIN genes directly impair the synthesis of NMDAR subunits and are strongly associated with an elevated risk of developing ADHD. In addition to GRIN, deficiencies in other genes associated with ADHD susceptibility, such as SorC2, D4.7R, SNAP-25, and LPHN3, have also been shown to result in NMDAR hypofunction. For example, SorC2 deficiency leads to impaired NMDAR-dependent LTP, LTD, and synaptic plasticity. The D4.7R variant inhibits the GluN1 subunit of NMDAR via interaction with PSD-95. Downregulation of SNAP-25 reduces NMDAR synaptic density and impairs LTP, whereas LPHN3 knockout leads to early LTP impairment and reduced NMDAR-GluN1 expression. Conversely, BAIAP2 deficiency has been found to increase NMDAR density and NMDAR-mediated synaptic transmission. Interestingly, the most used drugs for treating ADHD, such as methylphenidate and atomoxetine, have been shown to regulate NMDAR function. On the other hand, drugs directly targeting NMDAR, such as amantadine and memantine, have demonstrated effectiveness in alleviating ADHD symptoms in clinical trials.
It is noteworthy that, according to proton magnetic resonance spectroscopy studies, glutamatergic imbalance in the context of ADHD differs in terms of particular neural circuits and age. For example, studies in adult ADHD patients have demonstrated reduced levels of a glutamate marker in the medial PFC, ACC, and basal ganglia, while elevated in the cerebellum. On the other hand, studies with children and adolescents suggest increased glutamate markers in the frontal cortex and ACC [188]. Also, children with ADHD exhibit reduced GABA levels in the somatosensory/motor cortex and the striatum [14,189]. Both GABA and glutamate levels in the frontostriatal circuitry are age-dependent; this suggests different developmental trajectories of neurotransmitter imbalance, likely due to the complex interplay between genetic and environmental factors [18]. Genetic studies also highlight the involvement of excitatory and inhibitory neurotransmitter systems in the development of ADHD, with an emphasis on glutamate neurotransmission [190]. Furthermore, the crosstalk between glutamatergic and GABAergic synapses may contribute to the modulation of neuronal excitability and synaptic plasticity (reviewed in [191]), which underlines the role of pathological excitation-inhibition imbalance in ADHD. In addition, interactions between glutamatergic and dopaminergic signalling are worth considering as the prevailing theory of ADHD pathogenesis suggests that hyperactive and inattentive behaviours may arise from deficiencies in either tonic or phasic dopamine levels [192]. D1 and D2 receptors modulate striatal glutamatergic signalling and, vice versa, NMDAR is crucial for the regulation of midbrain dopaminergic neurons activity [193,194]. Altogether, these studies emphasize the need for a holistic interpretation of complex brain biochemistry in the pathogenesis of ADHD.
Although animal models offer valuable insights into mechanistic data on disease pathogenesis, they face limitations in direct translation of these findings to humans. Currently, there is a lack of substantial clinical data that directly establishes a connection between NMDAR dysfunction and ADHD in human populations. This draws attention to the exploration of non-invasive methods to bridge the gap between basic research and clinical applications. The implementation of advanced neuroimaging techniques and multi-omics studies can potentially aid in the identification of ADHD-related biomarkers (inter alia neurochemical signals, electroencephalography patterns, genetic variants, epigenetic markers, metabolomic profiles) [166,195]. These biomarkers could assist in diagnosis, treatment monitoring, and targeted interventions. Furthermore, advances in pharmacogenetic research could strengthen the genetic link between ADHD and NMDAR dysfunction and determine the therapeutic implications of specific genetic variants [Table 3]. Blood-based biomarkers, such as cytokines or microRNAs, could reflect systemic changes resulting from NMDAR dysfunction in the brain [196,197]. Future identification and validation of reliable biomarkers for NMDAR dysfunction in ADHD would not only support the diagnostic process but also drive the development of precision medicine approaches. However, designing a specific biomarker for NMDAR malfunction is a challenging task, as the receptors are highly heterogenous.
The NMDAR complex is highly polymorphic, with multiple subunits and splice variants that contribute to the functional diversity of the receptor. Genetic variations in NMDAR genes can influence receptor activity, subunit composition, and synaptic localisation, which in turn affects synaptic plasticity and neurotransmission. The expression of NMDAR subunits varies across different regions of the brain. For example, GluN2A and GluN2B subunits are predominantly expressed in the cortical regions and hippocampus, which are key brain regions involved in the ADHD development. Conversely, GluN2C and GluN2D expression is much weaker in the aforementioned regions [46]. It is thus presumed that preferential targeting of GluN1-GluN2A/B NMDARs would be a more appropriate approach in regard to alleviating ADHD symptoms, and these types of the receptor should be given the most attention in further studies. This, however, poses an issue of modulating NMDAR activity in a highly selective manner, which adds another layer of complexity to developing personalised treatment strategies for individuals with ADHD. It is not excluded that specific NMDAR modulators could be used in combination with currently available therapeutic strategies, but first, such drugs need to be selected by high-throughput screening or related approaches and tested in preclinical models. As studies on NMDAR in animal models presented herein mostly relied on genetic interventions, these findings should also be validated by pharmacological approaches before clinical implementation. On the other hand, FDA-approved drugs that modulate NMDAR activity should be extensively tested in double-blind, randomised trials in larger cohorts to fully assess their potential effectiveness. Moreover, the potential inhibition of NMDAR activity raises questions about the effects on other brain pathways and intracellular signalling, which may lead to potential adverse effects. It is important to emphasise that therapeutic approaches must moderately regulate the activation of NMDAR activation so as not to induce excitotoxicity, especially in the context of altered neurotransmission dynamics in ADHD pathogenesis. Excitotoxicity is characterised by an excessive influx of calcium ions, leading to the production of reactive oxygen species and the activation of apoptotic pathways, and resulting in neuronal damage and cell death [198]. Considering the potential vulnerability of individuals with ADHD to excitotoxicity [199], therapeutic strategies targeting NMDARs should aim to restore normal receptor activity without inducing excitotoxic effects.
Taking all of this into consideration, attempts to treat ADHD by targeting the NMDA receptor may pose significant challenges. However, gaining a better understanding of its role in the disease development could shed a new light on the complex pathogenesis of ADHD and lead to development of novel therapeutics.

Author Contributions

Conceptualization, I.M., W.R.-K. and D.S.; formal analysis, I.M., W.R.-K. and D.S.; writing—original draft preparation, J.K., K.S., M.C., W.W., N.S. and A.K.-L.; writing—review and editing, I.M., W.R.-K. and D.S.; visualization, N.S., J.K. and K.S.; supervision, I.M.; project administration, I.M.; funding acquisition, I.M. Figures were created with www.BioRender.com (accessed on 9 December 2021). All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Medical University of Lodz, Poland no. 503/1-156-07/503-11-001 and by the PRELUDIUM BIS 3 grant (grant no. 2021/43/O/NZ5/02068) from the Polish National Science Centre (NCN).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Drechsler, R.; Brem, S.; Brandeis, D.; Grünblatt, E.; Berger, G.; Walitza, S. ADHD: Current Concepts and Treatments in Children and Adolescents. Neuropediatrics 2020, 51, 315–335. [Google Scholar] [CrossRef] [PubMed]
  2. Gomez, R.; Chen, W.; Houghton, S. Differences between DSM-5-TR and ICD-11 Revisions of Attention Deficit/Hyperactivity Disorder: A Commentary on Implications and Opportunities. World J. Psychiatry 2023, 13, 138–143. [Google Scholar] [CrossRef] [PubMed]
  3. Jangmo, A.; Stålhandske, A.; Chang, Z.; Chen, Q.; Almqvist, C.; Feldman, I.; Bulik, C.M.; Lichtenstein, P.; D’Onofrio, B.; Kuja-Halkola, R.; et al. Attention-Deficit/Hyperactivity Disorder, School Performance, and Effect of Medication. J. Am. Acad. Child Adolesc. Psychiatry 2019, 58, 423–432. [Google Scholar] [CrossRef] [PubMed]
  4. Luderer, M.; Ramos Quiroga, J.A.; Faraone, S.V.; Zhang-James, Y.; Reif, A. Alcohol Use Disorders and ADHD. Neurosci. Biobehav. Rev. 2021, 128, 648–660. [Google Scholar] [CrossRef]
  5. Daviss, W.B. A Review of Co-Morbid Depression in Pediatric ADHD: Etiologies, Phenomenology, and Treatment. J. Child Adolesc. Psychopharmacol. 2008, 18, 565–571. [Google Scholar] [CrossRef]
  6. O’Neill, S.; Rajendran, K.; Mahbubani, S.M.; Halperin, J.M. Preschool Predictors of ADHD Symptoms and Impairment during Childhood and Adolescence. Curr. Psychiatry Rep. 2017, 19, 95. [Google Scholar] [CrossRef]
  7. Gnanavel, S.; Sharma, P.; Kaushal, P.; Hussain, S. Attention Deficit Hyperactivity Disorder and Comorbidity: A Review of Literature. World J. Clin. Cases 2019, 7, 2420–2426. [Google Scholar] [CrossRef]
  8. Yadav, S.K.; Bhat, A.A.; Hashem, S.; Nisar, S.; Kamal, M.; Syed, N.; Temanni, M.-R.; Gupta, R.K.; Kamran, S.; Azeem, M.W.; et al. Genetic Variations Influence Brain Changes in Patients with Attention-Deficit Hyperactivity Disorder. Transl. Psychiatry 2021, 11, 349. [Google Scholar] [CrossRef]
  9. Samea, F.; Soluki, S.; Nejati, V.; Zarei, M.; Cortese, S.; Eickhoff, S.B.; Tahmasian, M.; Eickhoff, C.R. Brain Alterations in Children/Adolescents with ADHD Revisited: A Neuroimaging Meta-Analysis of 96 Structural and Functional Studies. Neurosci. Biobehav. Rev. 2019, 100, 1–8. [Google Scholar] [CrossRef]
  10. Hoogman, M.; Bralten, J.; Hibar, D.P.; Mennes, M.; Zwiers, M.P.; Schweren, L.S.J.; van Hulzen, K.J.E.; Medland, S.E.; Shumskaya, E.; Jahanshad, N.; et al. Subcortical Brain Volume Differences of Participants with ADHD across the Lifespan: An ENIGMA Collaboration. Lancet Psychiatry 2017, 4, 310–319. [Google Scholar] [CrossRef]
  11. Firouzabadi, F.D.; Ramezanpour, S.; Firouzabadi, M.D.; Yousem, I.J.; Puts, N.A.J.; Yousem, D.M. Neuroimaging in Attention-Deficit/Hyperactivity Disorder: Recent Advances. Am. J. Roentgenol. 2022, 218, 321–332. [Google Scholar] [CrossRef] [PubMed]
  12. Sharma, A.; Couture, J. A Review of the Pathophysiology, Etiology, and Treatment of Attention-Deficit Hyperactivity Disorder (ADHD). Ann. Pharmacother. 2014, 48, 209–225. [Google Scholar] [CrossRef] [PubMed]
  13. Banerjee, E.; Nandagopal, K. Does Serotonin Deficit Mediate Susceptibility to ADHD? Neurochem. Int. 2015, 82, 52–68. [Google Scholar] [CrossRef] [PubMed]
  14. Puts, N.A.; Ryan, M.; Oeltzschner, G.; Horska, A.; Edden, R.A.E.; Mahone, E.M. Reduced Striatal GABA in Unmedicated Children with ADHD at 7T. Psychiatry Res. Neuroimaging 2020, 301, 111082. [Google Scholar] [CrossRef] [PubMed]
  15. Lesch, K.P.; Merker, S.; Reif, A.; Novak, M. Dances with Black Widow Spiders: Dysregulation of Glutamate Signalling Enters Centre Stage in ADHD. Eur. Neuropsychopharmacol. 2013, 23, 479–491. [Google Scholar] [CrossRef] [PubMed]
  16. Tripp, G.; Wickens, J.R. Neurobiology of ADHD. Neuropharmacology 2009, 57, 579–589. [Google Scholar] [CrossRef]
  17. Maltezos, S.; Horder, J.; Coghlan, S.; Skirrow, C.; O’Gorman, R.; Lavender, T.J.; Mendez, M.A.; Mehta, M.; Daly, E.; Xenitidis, K.; et al. Glutamate/Glutamine and Neuronal Integrity in Adults with ADHD: A Proton MRS Study. Transl. Psychiatry 2014, 4, e373. [Google Scholar] [CrossRef]
  18. Naaijen, J.; Lythgoe, D.J.; Amiri, H.; Buitelaar, J.K.; Glennon, J.C. Fronto-Striatal Glutamatergic Compounds in Compulsive and Impulsive Syndromes: A Review of Magnetic Resonance Spectroscopy Studies. Neurosci. Biobehav. Rev. 2015, 52, 74–88. [Google Scholar] [CrossRef]
  19. Bauer, J.; Werner, A.; Kohl, W.; Kugel, H.; Shushakova, A.; Pedersen, A.; Ohrmann, P. Hyperactivity and Impulsivity in Adult Attention-Deficit/Hyperactivity Disorder Is Related to Glutamatergic Dysfunction in the Anterior Cingulate Cortex. World J. Biol. Psychiatry 2018, 19, 538–546. [Google Scholar] [CrossRef]
  20. King, N.; Floren, S.; Kharas, N.; Thomas, M.; Dafny, N. Glutaminergic Signaling in the Caudate Nucleus Is Required for Behavioral Sensitization to Methylphenidate. Pharmacol. Biochem. Behav. 2019, 184, 172737. [Google Scholar] [CrossRef]
  21. Mechler, K.; Häge, A.; Schweinfurth, N.; Glennon, J.C.; Dijkhuizen, R.M.; Murphy, D.; Durston, S.; Williams, S.; Buitelaar, J.K.; Banaschewski, T.; et al. Glutamatergic Agents in the Treatment of Compulsivity and Impulsivity in Child and Adolescent Psychiatry: A Systematic Review of the Literature. Z. Kinder Jugendpsychiatr. Psychother. 2018, 46, 246–263. [Google Scholar] [CrossRef] [PubMed]
  22. Li, F.; Tsien, J.Z. Memory and the NMDA Receptors. N. Engl. J. Med. 2009, 361, 302–303. [Google Scholar] [CrossRef] [PubMed]
  23. Nakazawa, K.; McHugh, T.J.; Wilson, M.A.; Tonegawa, S. NMDA Receptors, Place Cells and Hippocampal Spatial Memory. Nat. Rev. Neurosci. 2004, 5, 361–372. [Google Scholar] [CrossRef]
  24. Lisman, J.E.; Fellous, J.M.; Wang, X.J. A Role for NMDA-Receptor Channels in Working Memory. Nat. Neurosci. 1998, 1, 273–275. [Google Scholar] [CrossRef] [PubMed]
  25. Guidi, M.; Kumar, A.; Foster, T.C. Impaired Attention and Synaptic Senescence of the Prefrontal Cortex Involves Redox Regulation of NMDA Receptors. J. Neurosci. 2015, 35, 3966–3977. [Google Scholar] [CrossRef]
  26. Cieślak, P.E.; Llamosas, N.; Kos, T.; Ugedo, L.; Jastrzębska, K.; Torrecilla, M.; Rodriguez Parkitna, J. The Role of NMDA Receptor-Dependent Activity of Noradrenergic Neurons in Attention, Impulsivity and Exploratory Behaviors. Genes Brain Behav. 2017, 16, 812–822. [Google Scholar] [CrossRef]
  27. Radke, A.K.; Zweifel, L.S.; Holmes, A. NMDA Receptor Deletion on Dopamine Neurons Disrupts Visual Discrimination and Reversal Learning. Neurosci. Lett. 2019, 699, 109–114. [Google Scholar] [CrossRef]
  28. Brookes, K.; Xu, X.; Chen, W.; Zhou, K.; Neale, B.; Lowe, N.; Aneey, R.; Franke, B.; Gill, M.; Ebstein, R.; et al. The Analysis of 51 Genes in DSM-IV Combined Type Attention Deficit Hyperactivity Disorder: Association Signals in DRD4, DAT1 and 16 Other Genes. Mol. Psychiatry 2006, 11, 934–953. [Google Scholar] [CrossRef]
  29. Yang, L.; Neale, B.M.; Liu, L.; Lee, S.H.; Wray, N.R.; Ji, N.; Li, H.; Qian, Q.; Wang, D.; Li, J.; et al. Polygenic Transmission and Complex Neuro Developmental Network for Attention Deficit Hyperactivity Disorder: Genome-Wide Association Study of Both Common and Rare Variants. Am. J. Med. Genet. Part B Neuropsychiatr. Genet. 2013, 162, 419–430. [Google Scholar] [CrossRef]
  30. Al-Mubarak, B.R.; Omar, A.; Baz, B.; Al-Abdulaziz, B.; Magrashi, A.I.; Al-Yemni, E.; Jabaan, A.; Monies, D.; Abouelhoda, M.; Abebe, D.; et al. Whole Exome Sequencing in ADHD Trios from Single and Multi-Incident Families Implicates New Candidate Genes and Highlights Polygenic Transmission. Eur. J. Hum. Genet. 2020, 28, 1098–1110. [Google Scholar] [CrossRef]
  31. Chang, J.; Lane, H.-Y.; Tsai, G. Attention Deficit Hyperactivity Disorder and N-Methyl-D-Aspartate (NMDA) Dysregulation. Curr. Pharm. Des. 2014, 20, 5180–5185. [Google Scholar] [CrossRef]
  32. Lehohla, M.; Kellaway, L.; Russell, V.A. NMDA Receptor Function in the Prefrontal Cortex of a Rat Model for Attention-Deficit Hyperactivity Disorder. Metab. Brain Dis. 2004, 19, 35–42. [Google Scholar] [CrossRef] [PubMed]
  33. Shikanai, H.; Oshima, N.; Kawashima, H.; Kimura, S.I.; Hiraide, S.; Togashi, H.; Iizuka, K.; Ohkura, K.; Izumi, T. N-Methyl-d-Aspartate Receptor Dysfunction in the Prefrontal Cortex of Stroke-Prone Spontaneously Hypertensive Rat/Ezo as a Rat Model of Attention Deficit/Hyperactivity Disorder. Neuropsychopharmacol. Rep. 2018, 38, 61–66. [Google Scholar] [CrossRef] [PubMed]
  34. Cainelli, E.; Nosadini, M.; Sartori, S.; Suppiej, A. Neuropsychological and Psychopathological Profile of Anti-Nmdar Encephalitis: A Possible Pathophysiological Model for Pediatric Neuropsychiatric Disorders. Arch. Clin. Neuropsychol. 2019, 34, 1309–1319. [Google Scholar] [CrossRef]
  35. Cheng, J.; Xiong, Z.; Duffney, L.J.; Wei, J.; Liu, A.; Liu, S.; Chen, G.J.; Yan, Z. Methylphenidate Exerts Dose-Dependent Effects on Glutamate Receptors and Behaviors. Biol. Psychiatry 2014, 76, 953–962. [Google Scholar] [CrossRef] [PubMed]
  36. Zhang, C.L.; Feng, Z.J.; Liu, Y.; Ji, X.H.; Peng, J.Y.; Zhang, X.H.; Zhen, X.C.; Li, B.M. Methylphenidate Enhances NMDA-Receptor Response in Medial Prefrontal Cortex via Sigma-1 Receptor: A Novel Mechanism for Methylphenidate Action. PLoS ONE 2012, 7, e51910. [Google Scholar] [CrossRef]
  37. Ludolph, A.G.; Udvardi, P.T.; Schaz, U.; Henes, C.; Adolph, O.; Weigt, H.U.; Fegert, J.M.; Boeckers, T.M.; Föhr, K.J. Atomoxetine Acts as an NMDA Receptor Blocker in Clinically Relevant Concentrations. Br. J. Pharmacol. 2010, 160, 283–291. [Google Scholar] [CrossRef]
  38. Udvardi, P.T.; Föhr, K.J.; Henes, C.; Liebau, S.; Dreyhaupt, J.; Boeckers, T.M.; Ludolph, A.G. Atomoxetine Affects Transcription/Translation of the NMDA Receptor and the Norepinephrine Transporter in the Rat Brain—An in Vivo Study. Drug Des. Dev. Ther. 2013, 7, 1433–1446. [Google Scholar] [CrossRef]
  39. Redding, Z.V.; Sabol, K.E. Reduced Attentional Lapses in Male Rats Following a Combination Treatment of Low-Dose D-Serine and Atomoxetine. J. Psychopharmacol. 2023, 37, 204–215. [Google Scholar] [CrossRef]
  40. Pagerols, M.; Richarte, V.; Sánchez-Mora, C.; Rovira, P.; Soler Artigas, M.; Garcia-Martínez, I.; Calvo-Sánchez, E.; Corrales, M.; Da Silva, B.S.; Mota, N.R.; et al. Integrative Genomic Analysis of Methylphenidate Response in Attention-Deficit/Hyperactivity Disorder. Sci. Rep. 2018, 8, 1881. [Google Scholar] [CrossRef]
  41. Hansen, K.B.; Yi, F.; Perszyk, R.E.; Furukawa, H.; Wollmuth, L.P.; Gibb, A.J.; Traynelis, S.F. Structure, Function, and Allosteric Modulation of NMDA Receptors. J. Gen. Physiol. 2018, 150, 1081–1105. [Google Scholar] [CrossRef]
  42. Lee, C.H.; Lü, W.; Michel, J.C.; Goehring, A.; Du, J.; Song, X.; Gouaux, E. NMDA Receptor Structures Reveal Subunit Arrangement and Pore Architecture. Nature 2014, 511, 191–197. [Google Scholar] [CrossRef] [PubMed]
  43. Ishchenko, Y.; Carrizales, M.G.; Koleske, A.J. Regulation of the NMDA Receptor by Its Cytoplasmic Domains: (How) Is the Tail Wagging the Dog? Neuropharmacology 2021, 195, 108634. [Google Scholar] [CrossRef] [PubMed]
  44. Vyklicky, V.; Korinek, M.; Smejkalova, T.; Balik, A.; Krausova, B.; Kaniakova, M.; Lichnerova, K.; Cerny, J.; Krusek, J.; Dittert, I.; et al. Structure, Function, and Pharmacology of NMDA Receptor Channels. Physiol. Res. 2014, 63, S191–S203. [Google Scholar] [CrossRef] [PubMed]
  45. Traynelis, S.F.; Wollmuth, L.P.; McBain, C.J.; Menniti, F.S.; Vance, K.M.; Ogden, K.K.; Hansen, K.B.; Yuan, H.; Myers, S.J.; Dingledine, R. Glutamate Receptor Ion Channels: Structure, Regulation, and Function. Pharmacol. Rev. 2010, 62, 405–496. [Google Scholar] [CrossRef] [PubMed]
  46. Vieira, M.; Yong, X.L.H.; Roche, K.W.; Anggono, V. Regulation of NMDA Glutamate Receptor Functions by the GluN2 Subunits. J. Neurochem. 2020, 154, 121–143. [Google Scholar] [CrossRef]
  47. Lüscher, C.; Malenka, R.C. NMDA Receptor-Dependent Long-Term Potentiation and Long-Term Depression (LTP/LTD). Cold Spring Harb. Perspect. Biol. 2012, 4, a005710. [Google Scholar] [CrossRef]
  48. Baltaci, S.B.; Mogulkoc, R.; Baltaci, A.K. Molecular Mechanisms of Early and Late LTP. Neurochem. Res. 2019, 44, 281–296. [Google Scholar] [CrossRef]
  49. Chen, Q.-Y.; Li, X.-H.; Zhuo, M. NMDA Receptors and Synaptic Plasticity in the Anterior Cingulate Cortex. Neuropharmacology 2021, 197, 108749. [Google Scholar] [CrossRef]
  50. Lisman, J.; Yasuda, R.; Raghavachari, S. Mechanisms of CaMKII Action in Long-Term Potentiation. Nat. Rev. Neurosci. 2012, 13, 169–182. [Google Scholar] [CrossRef]
  51. Kristensen, A.S.; Jenkins, M.A.; Banke, T.G.; Schousboe, A.; Makino, Y.; Johnson, R.C.; Huganir, R.; Traynelis, S.F. Mechanism of CaMKII Regulation of AMPA Receptor Gating. Nat. Neurosci. 2011, 14, 727–735. [Google Scholar] [CrossRef] [PubMed]
  52. Reyes-García, S.E.; Escobar, M.L. Calcineurin Participation in Hebbian and Homeostatic Plasticity Associated with Extinction. Front. Cell. Neurosci. 2021, 15, 685838. [Google Scholar] [CrossRef] [PubMed]
  53. Benito, E.; Barco, A. CREB’s Control of Intrinsic and Synaptic Plasticity: Implications for CREB-Dependent Memory Models. Trends Neurosci. 2010, 33, 230–240. [Google Scholar] [CrossRef] [PubMed]
  54. Shepherd, J.D.; Huganir, R.L. The Cell Biology of Synaptic Plasticity: AMPA Receptor Trafficking. Annu. Rev. Cell Dev. Biol. 2007, 23, 613–643. [Google Scholar] [CrossRef] [PubMed]
  55. Hyman, B.T.; Yuan, J. Apoptotic and Non-Apoptotic Roles of Caspases in Neuronal Physiology and Pathophysiology. Nat. Rev. Neurosci. 2012, 13, 395–406. [Google Scholar] [CrossRef] [PubMed]
  56. Li, Z.; Jo, J.; Jia, J.M.; Lo, S.C.; Whitcomb, D.J.; Jiao, S.; Cho, K.; Sheng, M. Caspase-3 Activation via Mitochondria Is Required for Long-Term Depression and AMPA Receptor Internalization. Cell 2010, 141, 859–871. [Google Scholar] [CrossRef]
  57. Kawade, H.M.; Borkar, C.D.; Shambharkar, A.S.; Singh, O.; Singru, P.S.; Subhedar, N.K.; Kokare, D.M. Intracellular Mechanisms and Behavioral Changes in Mouse Model of Attention Deficit Hyperactivity Disorder: Importance of Age-Specific NMDA Receptor Blockade. Pharmacol. Biochem. Behav. 2020, 188, 172830. [Google Scholar] [CrossRef]
  58. Lo, S.C.; Wang, Y.; Weber, M.; Larson, J.L.; Scearce-Levie, K.; Sheng, M. Caspase-3 Deficiency Results in Disrupted Synaptic Homeostasis and Impaired Attention Control. J. Neurosci. 2015, 35, 2118–2132. [Google Scholar] [CrossRef]
  59. Piochon, C.; Kano, M.; Hansel, C. LTD-like Molecular Pathways in Developmental Synaptic Pruning. Nat. Neurosci. 2016, 19, 1299–1310. [Google Scholar] [CrossRef]
  60. Chen, C. Heterosynaptic LTP in Early Development. Neuron 2001, 31, 510–512. [Google Scholar] [CrossRef] [PubMed]
  61. Archer, T.; Garcia, D. Attention-Deficit/Hyperactivity Disorder: Focus upon Aberrant N-Methyl-D-Aspartate Receptors Systems. Curr. Top. Behav. Neurosci. 2016, 29, 295–311. [Google Scholar] [CrossRef]
  62. Forero, D.A.; Arboleda, G.H.; Vasquez, R.; Arboleda, H. Candidate Genes Involved in Neural Plasticity and the Risk for Attention-Deficit Hyperactivity Disorder: A Meta-Analysis of 8 Common Variants. J. Psychiatry Neurosci. 2009, 34, 361–366. [Google Scholar]
  63. Dark, C.; Homman-Ludiye, J.; Bryson-Richardson, R.J. The Role of ADHD Associated Genes in Neurodevelopment. Dev. Biol. 2018, 438, 69–83. [Google Scholar] [CrossRef] [PubMed]
  64. Liu, D.-Y.; Shen, X.-M.; Yuan, F.-F.; Guo, O.-Y.; Zhong, Y.; Chen, J.-G.; Zhu, L.-Q.; Wu, J. The Physiology of BDNF and Its Relationship with ADHD. Mol. Neurobiol. 2015, 52, 1467–1476. [Google Scholar] [CrossRef] [PubMed]
  65. Hohmann, S.; Hohm, E.; Treutlein, J.; Blomeyer, D.; Jennen-Steinmetz, C.; Schmidt, M.H.; Esser, G.; Banaschewski, T.; Brandeis, D.; Laucht, M. Association of Norepinephrine Transporter (NET, SLC6A2) Genotype with ADHD-Related Phenotypes: Findings of a Longitudinal Study from Birth to Adolescence. Psychiatry Res. 2015, 226, 425–433. [Google Scholar] [CrossRef]
  66. Brookes, K.J.; Neale, B.M.; Sugden, K.; Khan, N.; Asherson, P.; D’Souza, U.M. Relationship between VNTR Polymorphisms of the Human Dopamine Transporter Gene and Expression in Post-Mortem Midbrain Tissue. Am. J. Med. Genet. Part B Neuropsychiatr. Genet. 2007, 144, 1070–1078. [Google Scholar] [CrossRef] [PubMed]
  67. Fernández-Jaén, A.; López-Martín, S.; Albert, J.; Fernández-Mayoralas, D.M.; Fernández-Perrone, A.L.; de La Peña, M.J.; Calleja-Pérez, B.; Rodríguez, M.R.; López-Arribas, S.; Muñoz-Jareño, N. Cortical Thickness Differences in the Prefrontal Cortex in Children and Adolescents with ADHD in Relation to Dopamine Transporter (DAT1) Genotype. Psychiatry Res. Neuroimaging 2015, 233, 409–417. [Google Scholar] [CrossRef] [PubMed]
  68. Elia, J.; Glessner, J.T.; Wang, K.; Takahashi, N.; Shtir, C.J.; Hadley, D.; Sleiman, P.M.A.; Zhang, H.; Kim, C.E.; Robison, R.; et al. Genome-Wide Copy Number Variation Study Associates Metabotropic Glutamate Receptor Gene Networks with Attention Deficit Hyperactivity Disorder. Nat. Genet. 2012, 44, 78–84. [Google Scholar] [CrossRef]
  69. Glerup, S.; Bolcho, U.; Mlgaard, S.; Bggild, S.; Vaegter, C.B.; Smith, A.H.; Nieto-Gonzalez, J.L.; Ovesen, P.L.; Pedersen, L.F.; Fjorback, A.N.; et al. SorCS2 Is Required for BDNF-Dependent Plasticity in the Hippocampus. Mol. Psychiatry 2016, 21, 1740–1751. [Google Scholar] [CrossRef]
  70. Lesch, K.-P.; Waider, J. Serotonin in the Modulation of Neural Plasticity and Networks: Implications for Neurodevelopmental Disorders. Neuron 2012, 76, 175–191. [Google Scholar] [CrossRef]
  71. Tanda, K.; Nishi, A.; Matsuo, N.; Nakanishi, K.; Yamasaki, N.; Sugimoto, T.; Toyama, K.; Takao, K.; Miyakawa, T. Abnormal Social Behavior, Hyperactivity, Impaired Remote Spatial Memory, and Increased D1-Mediated Dopaminergic Signaling in Neuronal Nitric Oxide Synthase Knockout Mice. Mol. Brain 2009, 2, 19. [Google Scholar] [CrossRef] [PubMed]
  72. Sanz-Clemente, A.; Nicoll, R.A.; Roche, K.W. Diversity in NMDA Receptor Composition. Neuroscientist 2013, 19, 62–75. [Google Scholar] [CrossRef] [PubMed]
  73. Chen, N.; Luo, T.; Raymond, L.A. Subtype-Dependence of NMDA Receptor Channel Open Probability. J. Neurosci. 1999, 19, 6844–6854. [Google Scholar] [CrossRef]
  74. Vicini, S.; Wang, J.F.; Li, J.H.; Zhu, W.J.; Wang, Y.H.; Luo, J.H.; Wolfe, B.B.; Grayson, D.R. Functional and Pharmacological Differences between Recombinant N-Methyl-D-Aspartate Receptors. J. Neurophysiol. 1998, 79, 555–566. [Google Scholar] [CrossRef]
  75. Erreger, K.; Geballe, M.T.; Kristensen, A.; Chen, P.E.; Hansen, K.B.; Lee, C.J.; Yuan, H.; Le, P.; Lyuboslavsky, P.N.; Micale, N.; et al. Subunit-Specific Agonist Activity at NR2A-, NR2B-, NR2C-, and NR2D-Containing N-Methyl-D-Aspartate Glutamate Receptors. Mol. Pharmacol. 2007, 72, 907–920. [Google Scholar] [CrossRef]
  76. Akazawa, C.; Shigemoto, R.; Bessho, Y.; Nakanishi, S.; Mizuno, N. Differential Expression of Five N-methyl-D-aspartate Receptor Subunit MRNAs in the Cerebellum of Developing and Adult Rats. J. Comp. Neurol. 1994, 347, 150–160. [Google Scholar] [CrossRef]
  77. Monyer, H.; Burnashev, N.; Laurie, D.J.; Sakmann, B.; Seeburg, P.H. Developmental and Regional Expression in the Rat Brain and Functional Properties of Four NMDA Receptors. Neuron 1994, 12, 529–540. [Google Scholar] [CrossRef] [PubMed]
  78. Loureiro, C.M.; Fachim, H.A.; Corsi-Zuelli, F.; Shuhama, R.; Joca, S.; Menezes, P.R.; Dalton, C.F.; Del-Ben, C.M.; Louzada-Junior, P.; Reynolds, G.P. Epigenetic-Mediated N-Methyl-D-Aspartate Receptor Changes in the Brain of Isolated Reared Rats. Epigenomics 2020, 12, 1983–1997. [Google Scholar] [CrossRef]
  79. Oka, M.; Ito, K.; Koga, M.; Kusumi, I. Changes in Subunit Composition of NMDA Receptors in Animal Models of Schizophrenia by Repeated Administration of Methamphetamine. Prog. Neuropsychopharmacol. Biol. Psychiatry 2020, 103, 109984. [Google Scholar] [CrossRef] [PubMed]
  80. Ochozková, A.; Mihalčíková, L.; Yamamotová, A.; Šlamberová, R. ADHD Symptoms Induced by Prenatal Methamphetamine Exposure. Physiol. Res. 2019, 68, S347–S352. [Google Scholar] [CrossRef]
  81. Ochozková, A.; Mihalčíková, L.; Yamamotová, A.; Šlamberová, R. Can Prenatal Methamphetamine Exposure Be Considered a Good Animal Model for ADHD? Physiol. Res. 2021, 70, S431–S440. [Google Scholar] [CrossRef]
  82. Wang, H.; Dávila-García, M.I.; Yarl, W.; Gondré-Lewis, M.C. Gestational Nicotine Exposure Regulates Expression of AMPA and NMDA Receptors and Their Signaling Apparatus in Developing and Adult Rat Hippocampus. Neuroscience 2011, 188, 168–181. [Google Scholar] [CrossRef] [PubMed]
  83. Zhu, J.; Zhang, X.; Xu, Y.; Spencer, T.J.; Biederman, J.; Bhide, P.G. Prenatal Nicotine Exposure Mouse Model Showing Hyperactivity, Reduced Cingulate Cortex Volume, Reduced Dopamine Turnover, and Responsiveness to Oral Methylphenidate Treatment. J. Neurosci. 2012, 32, 9410–9418. [Google Scholar] [CrossRef] [PubMed]
  84. Polli, F.S.; Scharff, M.B.; Ipsen, T.H.; Aznar, S.; Kohlmeier, K.A.; Andreasen, J.T. Prenatal Nicotine Exposure in Mice Induces Sex-Dependent Anxiety-like Behavior, Cognitive Deficits, Hyperactivity, and Changes in the Expression of Glutamate Receptor Associated-Genes in the Prefrontal Cortex. Pharmacol. Biochem. Behav. 2020, 195, 172951. [Google Scholar] [CrossRef]
  85. Sourander, A.; Sucksdorff, M.; Chudal, R.; Surcel, H.M.; Hinkka-Yli-Salomäki, S.; Gyllenberg, D.; Cheslack-Postava, K.; Brown, A.S. Prenatal Cotinine Levels and ADHD among Offspring. Pediatrics 2019, 143, e20183144. [Google Scholar] [CrossRef] [PubMed]
  86. Liu, D.; Ren, Y.; Wu, T.; Shen, H.; Yan, P.; Meng, Y.; Zhang, Q.; Zhang, J.; Bai, P.; Zhao, J. Parental Smoking Exposure before and during Pregnancy and Offspring Attention-Deficit/Hyperactivity Disorder Risk: A Chinese Child and Adolescent Cohort Study. Front. Public Health 2022, 10, 1017046. [Google Scholar] [CrossRef]
  87. Yuan, H.; Low, C.-M.; Moody, O.A.; Jenkins, A.; Traynelis, S.F. Ionotropic GABA and Glutamate Receptor Mutations and Human Neurologic Diseases. Mol. Pharmacol. 2015, 88, 203–217. [Google Scholar] [CrossRef]
  88. Burnashev, N.; Szepetowski, P. NMDA Receptor Subunit Mutations in Neurodevelopmental Disorders. Curr. Opin. Pharmacol. 2015, 20, 73–82. [Google Scholar] [CrossRef]
  89. XiangWei, W.; Jiang, Y.; Yuan, H. De Novo Mutations and Rare Variants Occurring in NMDA Receptors. Curr. Opin. Physiol. 2018, 2, 27–35. [Google Scholar] [CrossRef]
  90. Smalley, S.L.; Kustanovich, V.; Minassian, S.L.; Stone, J.L.; Ogdie, M.N.; McGough, J.J.; McCracken, J.T.; MacPhie, I.L.; Francks, C.; Fisher, S.E.; et al. Genetic Linkage of Attention-Deficit/Hyperactivity Disorder on Chromosome 16p13, in a Region Implicated in Autism. Am. J. Hum. Genet. 2002, 71, 959–963. [Google Scholar] [CrossRef]
  91. Turic, D.; Langley, K.; Mills, S.; Stephens, M.; Lawson, D.; Govan, C.; Williams, N.; Van Den Bree, M.; Craddock, N.; Kent, L.; et al. Follow-up of Genetic Linkage Findings on Chromosome 16p13: Evidence of Association of N-Methyl-D Aspartate Glutamate Receptor 2A Gene Polymorphism with ADHD. Mol. Psychiatry 2004, 9, 169–173. [Google Scholar] [CrossRef] [PubMed]
  92. Dorval, K.M.; Wigg, K.G.; Crosbie, J.; Tannock, R.; Kennedy, J.L.; Ickowicz, A.; Pathare, T.; Malone, M.; Schachar, R.; Barr, C.L. Association of the Glutamate Receptor Subunit Gene GRIN2B with Attention-Deficit/Hyperactivity Disorder. Genes Brain Behav. 2007, 6, 444–452. [Google Scholar] [CrossRef]
  93. Bertocchi, I.; Eltokhi, A.; Rozov, A.; Chi, V.N.; Jensen, V.; Bus, T.; Pawlak, V.; Serafino, M.; Sonntag, H.; Yang, B.; et al. Voltage-Independent GluN2A-Type NMDA Receptor Ca2+ Signaling Promotes Audiogenic Seizures, Attentional and Cognitive Deficits in Mice. Commun. Biol. 2021, 4, 59. [Google Scholar] [CrossRef] [PubMed]
  94. Freunscht, I.; Popp, B.; Blank, R.; Endele, S.; Moog, U.; Petri, H.; Prott, E.C.; Reis, A.; Rübo, J.; Zabel, B.; et al. Behavioral Phenotype in Five Individuals with de Novo Mutations within the GRIN2B Gene. Behav. Brain Funct. 2013, 9, 20. [Google Scholar] [CrossRef] [PubMed]
  95. Hu, C.; Chen, W.; Myers, S.J.; Yuan, H.; Traynelis, S.F. Human GRIN2B Variants in Neurodevelopmental Disorders. J. Pharmacol. Sci. 2016, 132, 115–121. [Google Scholar] [CrossRef] [PubMed]
  96. Kim, J.I.; Kim, J.W.; Park, S.; Hong, S.B.; Lee, D.S.; Paek, S.H.; Han, D.H.; Cheong, J.H.; Kim, B.N. The GRIN2B and GRIN2A Gene Variants Are Associated with Continuous Performance Test Variables in ADHD. J. Atten. Disord. 2020, 24, 1538–1546. [Google Scholar] [CrossRef] [PubMed]
  97. Kim, J.I.; Kim, J.W.; Park, J.E.; Park, S.; Hong, S.B.; Han, D.H.; Cheong, J.H.; Choi, J.W.; Lee, S.; Kim, B.N. Association of the GRIN2B Rs2284411 Polymorphism with Methylphenidate Response in Attention-Deficit/Hyperactivity Disorder. J. Psychopharmacol. 2017, 31, 1070–1077. [Google Scholar] [CrossRef]
  98. Ollila, H.M.; Soronen, P.; Silander, K.; Palo, O.M.; Kieseppä, T.; Kaunisto, M.A.; Lönnqvist, J.; Peltonen, L.; Partonen, T.; Paunio, T. Findings from Bipolar Disorder Genome-Wide Association Studies Replicate in a Finnish Bipolar Family-Cohort. Mol. Psychiatry 2009, 14, 351–353. [Google Scholar] [CrossRef]
  99. Christoforou, A.; McGhee, K.A.; Morris, S.W.; Thomson, P.A.; Anderson, S.; McLean, A.; Torrance, H.S.; Le Hellard, S.; Pickard, B.S.; StClair, D.; et al. Convergence of Linkage, Association and GWAS Findings for a Candidate Region for Bipolar Disorder and Schizophrenia on Chromosome 4p. Mol. Psychiatry 2011, 16, 240–242. [Google Scholar] [CrossRef]
  100. Alemany, S.; Ribasés, M.; Vilor-Tejedor, N.; Bustamante, M.; Sánchez-Mora, C.; Bosch, R.; Richarte, V.; Cormand, B.; Casas, M.; Ramos-Quiroga, J.A.; et al. New Suggestive Genetic Loci and Biological Pathways for Attention Function in Adult Attention-Deficit/Hyperactivity Disorder. Am. J. Med. Genet. Part B Neuropsychiatr. Genet. 2015, 168, 459–470. [Google Scholar] [CrossRef]
  101. Fujisawa, T.X.; Nishitani, S.; Makita, K.; Yao, A.; Takiguchi, S.; Hamamura, S.; Shimada, K.; Okazawa, H.; Matsuzaki, H.; Tomoda, A. Association of Epigenetic Differences Screened in a Few Cases of Monozygotic Twins Discordant for Attention-Deficit Hyperactivity Disorder with Brain Structures. Front. Neurosci. 2022, 15, 799761. [Google Scholar] [CrossRef] [PubMed]
  102. Willnow, T.E.; Petersen, C.M.; Nykjaer, A. VPS10P-Domain Receptors—Regulators of Neuronal Viability and Function. Nat. Rev. Neurosci. 2008, 9, 899–909. [Google Scholar] [CrossRef] [PubMed]
  103. Leloup, N.; Chataigner, L.M.P.; Janssen, B.J.C. Structural Insights into SorCS2–Nerve Growth Factor Complex Formation. Nat. Commun. 2018, 9, 2979. [Google Scholar] [CrossRef]
  104. Yang, J.; Ma, Q.; Dincheva, I.; Giza, J.; Jing, D.; Marinic, T.; Milner, T.A.; Rajadhyaksha, A.; Lee, F.S.; Hempstead, B.L. SorCS2 Is Required for Social Memory and Trafficking of the NMDA Receptor. Mol. Psychiatry 2021, 26, 927–940. [Google Scholar] [CrossRef] [PubMed]
  105. Glerup, S.; Olsen, D.; Vaegter, C.B.; Gustafsen, C.; Sjoegaard, S.S.; Hermey, G.; Kjolby, M.; Molgaard, S.; Ulrichsen, M.; Boggild, S.; et al. SorCS2 Regulates Dopaminergic Wiring and Is Processed into an Apoptotic Two-Chain Receptor in Peripheral Glia. Neuron 2014, 82, 1074–1087. [Google Scholar] [CrossRef] [PubMed]
  106. Olsen, D.; Wellner, N.; Kaas, M.; de Jong, I.E.M.; Sotty, F.; Didriksen, M.; Glerup, S.; Nykjaer, A. Altered Dopaminergic Firing Pattern and Novelty Response Underlie ADHD-like Behavior of SorCS2-Deficient Mice. Transl. Psychiatry 2021, 11, 74. [Google Scholar] [CrossRef] [PubMed]
  107. Martel, J.C.; Gatti McArthur, S. Dopamine Receptor Subtypes, Physiology and Pharmacology: New Ligands and Concepts in Schizophrenia. Front. Pharmacol. 2020, 11, 1003. [Google Scholar] [CrossRef]
  108. Woods, A.S. The Dopamine D4 Receptor, the Ultimate Disordered Protein. J. Recept. Signal Transduct. 2010, 30, 331–336. [Google Scholar] [CrossRef][Green Version]
  109. Ferré, S.; Belcher, A.M.; Bonaventura, J.; Quiroz, C.; Sánchez-Soto, M.; Casadó-Anguera, V.; Cai, N.-S.; Moreno, E.; Boateng, C.A.; Keck, T.M.; et al. Functional and Pharmacological Role of the Dopamine D4 Receptor and Its Polymorphic Variants. Front. Endocrinol. 2022, 13, 1014678. [Google Scholar] [CrossRef]
  110. Bonaventura, J.; Quiroz, C.; Cai, N.S.; Rubinstein, M.; Tanda, G.; Ferré, S. Key Role of the Dopamine D4 Receptor in the Modulation of Corticostriatal Glutamatergic Neurotransmission. Sci. Adv. 2017, 3, e1601631. [Google Scholar] [CrossRef]
  111. Ptáček, R.; Kuželová, H.; Stefano, G.B. Dopamine D4 Receptor Gene DRD4 and Its Association with Psychiatric Disorders. Med. Sci. Monit. 2011, 17, RA215–RA220. [Google Scholar] [CrossRef] [PubMed]
  112. Langley, K.; Marshall, L.; Van Den Bree, M.; Thomas, H.; Owen, M.; O’Donovan, M.; Thapar, A. Association of the Dopamine D 4 Receptor Gene 7-Repeat Allele with Neuropsychological Test Performance of Children with ADHD. Am. J. Psychiatry 2004, 161, 33–138. [Google Scholar] [CrossRef] [PubMed]
  113. Qin, L.; Liu, W.; Ma, K.; Wei, J.; Zhong, P.; Cho, K.; Yan, Z. The ADHD-Linked Human Dopamine D4 Receptor Variant D4.7 Induces over-Suppression of NMDA Receptor Function in Prefrontal Cortex. Neurobiol. Dis. 2016, 95, 194–203. [Google Scholar] [CrossRef] [PubMed][Green Version]
  114. Zhong, P.; Liu, W.; Yan, Z. Aberrant Regulation of Synchronous Network Activity by the Attention-Deficit/Hyperactivity Disorder-Associated Human Dopamine D4 Receptor Variant D4.7 in the Prefrontal Cortex. J. Physiol. 2016, 594, 135–147. [Google Scholar] [CrossRef]
  115. Dickstein, S.G.; Bannon, K.; Xavier Castellanos, F.; Milham, M.P. The Neural Correlates of Attention Deficit Hyperactivity Disorder: An ALE Meta-Analysis. J. Child Psychol. Psychiatry 2006, 47, 1051–1062. [Google Scholar] [CrossRef]
  116. Naumova, D.; Grizenko, N.; Sengupta, S.M.; Joober, R. DRD4 Exon 3 Genotype and ADHD: Randomised Pharmacodynamic Investigation of Treatment Response to Methylphenidate. World J. Biol. Psychiatry 2019, 20, 486–495. [Google Scholar] [CrossRef]
  117. Polanczyk, G.; Bigarella, M.P.; Hutz, M.H.; Rohde, L.A. Pharmacogenetic Approach for a Better Drug Treatment in Children. Curr. Pharm. Des. 2010, 16, 2462–2473. [Google Scholar] [CrossRef] [PubMed]
  118. Ji, H.S.; Paik, K.C.; Park, W.S.; Lim, M.H. No Association between the Response to Methylphenidate and DRD4 Gene Polymorphism in Korean Attention Deficit Hyperactivity Disorder: A Case Control Study. Clin. Psychopharmacol. Neurosci. 2013, 11, 13–17. [Google Scholar] [CrossRef]
  119. Hamarman, S.; Fossella, J.; Ulger, C.; Brimacombe, M.; Dermody, J. Dopamine Receptor 4 (DRD4) 7-Repeat Allele Predicts Methylphenidate Dose Response in Children with Attention Deficit Hyperactivity Disorder: A Pharmacogenetic Study. J. Child Adolesc. Psychopharmacol. 2005, 14, 564–574. [Google Scholar] [CrossRef] [PubMed]
  120. Kim, M.H.; Choi, J.; Yang, J.; Chung, W.; Kim, J.H.; Sang, K.P.; Kim, K.; Han, S.; Won, H.; Bae, Y.S.; et al. Enhanced NMDA Receptor-Mediated Synaptic Transmission, Enhanced Long-Term Potentiation, and Impaired Learning and Memory in Mice Lacking IRSp53. J. Neurosci. 2009, 29, 1586–1595. [Google Scholar] [CrossRef] [PubMed]
  121. Ribasés, M.; Bosch, R.; Hervás, A.; Ramos-Quiroga, J.A.; Sánchez-Mora, C.; Bielsa, A.; Gastaminza, X.; Guijarro-Domingo, S.; Nogueira, M.; Gómez-Barros, N.; et al. Case-Control Study of Six Genes Asymmetrically Expressed in the Two Cerebral Hemispheres: Association of BAIAP2 with Attention-Deficit/Hyperactivity Disorder. Biol. Psychiatry 2009, 66, 926–934. [Google Scholar] [CrossRef] [PubMed]
  122. Liu, L.; Sun, L.; Li, Z.H.; Li, H.M.; Wei, L.P.; Wang, Y.F.; Qian, Q.J. BAIAP2 Exhibits Association to Childhood ADHD Especially Predominantly Inattentive Subtype in Chinese Han Subjects. Behav. Brain Funct. 2013, 9, 48. [Google Scholar] [CrossRef] [PubMed]
  123. Chung, W.; Choi, S.Y.; Lee, E.; Park, H.; Kang, J.; Park, H.; Choi, Y.; Lee, D.; Park, S.G.; Kim, R.; et al. Social Deficits in IRSp53 Mutant Mice Improved by NMDAR and MGluR5 Suppression. Nat. Neurosci. 2015, 18, 435–443. [Google Scholar] [CrossRef] [PubMed]
  124. Bobsin, K.; Kreienkamp, H.J. Severe Learning Deficits of IRSp53 Mutant Mice Are Caused by Altered NMDA Receptor-Dependent Signal Transduction. J. Neurochem. 2016, 136, 752–763. [Google Scholar] [CrossRef] [PubMed]
  125. Noh, Y.W.; Yook, C.; Kang, J.; Lee, S.; Kim, Y.; Yang, E.; Kim, H.; Kim, E. Adult Re-Expression of IRSp53 Rescues NMDA Receptor Function and Social Behavior in IRSp53-Mutant Mice. Commun. Biol. 2022, 5, 838. [Google Scholar] [CrossRef] [PubMed]
  126. Kim, W.; Shin, J.J.; Jeong, Y.J.; Kim, K.; Bae, J.W.; Noh, Y.W.; Lee, S.; Choi, W.; Paik, S.-B.; Jung, M.W.; et al. Suppressed Prefrontal Neuronal Firing Variability and Impaired Social Representation in IRSp53-Mutant Mice. eLife 2022, 11, e74998. [Google Scholar] [CrossRef] [PubMed]
  127. Antonucci, F.; Corradini, I.; Fossati, G.; Tomasoni, R.; Menna, E.; Matteoli, M. SNAP-25, a Known Presynaptic Protein with Emerging Postsynaptic Functions. Front. Synaptic Neurosci. 2016, 8, 7. [Google Scholar] [CrossRef]
  128. Lau, C.G.; Takayasu, Y.; Rodenas-Ruano, A.; Paternain, A.V.; Lerma, J.; Bennett, M.V.L.; Suzanne Zukin, R. SNAP-25 Is a Target of Protein Kinase C Phosphorylation Critical to NMDA Receptor Trafficking. J. Neurosci. 2010, 30, 242–254. [Google Scholar] [CrossRef]
  129. Jurado, S.; Goswami, D.; Zhang, Y.; Molina, A.J.M.; Südhof, T.C.; Malenka, R.C. LTP Requires a Unique Postsynaptic SNARE Fusion Machinery. Neuron 2013, 77, 542–558. [Google Scholar] [CrossRef]
  130. Najera, K.; Fagan, B.M.; Thompson, P.M. SNAP-25 in Major Psychiatric Disorders: A Review. Neuroscience 2019, 420, 79–85. [Google Scholar] [CrossRef]
  131. Hess, E.J.; Jinnah, H.A.; Kozak, C.A.; Wilson, M.C. Spontaneous Locomotor Hyperactivity in a Mouse Mutant with a Deletion Including the Snap Gene on Chromosome 2. J. Neurosci. 1992, 12, 2865–2874. [Google Scholar] [CrossRef] [PubMed]
  132. Gunn, R.K.; Keenan, M.E.; Brown, R.E. Analysis of Sensory, Motor and Cognitive Functions of the Coloboma (C3Sn.Cg-Cm/J) Mutant Mouse. Genes Brain Behav. 2011, 10, 579–588. [Google Scholar] [CrossRef] [PubMed]
  133. Corradini, I.; Donzelli, A.; Antonucci, F.; Welzl, H.; Loos, M.; Martucci, R.; De Astis, S.; Pattini, L.; Inverardi, F.; Wolfer, D.; et al. Epileptiform Activity and Cognitive Deficits in SNAP-25+/− Mice Are Normalized by Antiepileptic Drugs. Cereb. Cortex 2014, 24, 364–376. [Google Scholar] [CrossRef] [PubMed]
  134. Barr, C.L.; Feng, Y.; Wigg, K.; Bloom, S.; Roberts, W.; Malone, M.; Schachar, R.; Tannock, R.; Kennedy, J.L. Identification of DNA Variants in the SNAP-25 Gene and Linkage Study of These Polymorphisms and Attention-Deficit Hyperactivity Disorder. Mol. Psychiatry 2000, 5, 405–409. [Google Scholar] [CrossRef] [PubMed]
  135. Brophy, K.; Hawi, Z.; Kirley, A.; Fitzgerald, M.; Gill, M. Synaptosomal-Associated Protein 25 (SNAP-25) and Attention Deficit Hyperactivity Disorder (ADHD): Evidence of Linkage and Association in the Irish Population. Mol. Psychiatry 2002, 7, 913–917. [Google Scholar] [CrossRef]
  136. Kustanovich, V.; Merriman, B.; McGough, J.; McCracken, J.T.; Smalley, S.L.; Nelson, S.F. Biased Paternal Transmission of SNAP-25 Risk Alleles in Attention-Deficit Hyperactivity Disorder. Mol. Psychiatry 2003, 8, 309–315. [Google Scholar] [CrossRef]
  137. Mill, J.; Curran, S.; Kent, L.; Gould, A.; Huckett, L.; Richards, S.; Taylor, E.; Asherson, P. Association Study of a SNAP-25 Microsatellite and Attention Deficit Hyperactivity Disorder. Am. J. Med. Genet. Neuropsychiatr. Genet. 2002, 114, 269–271. [Google Scholar] [CrossRef]
  138. Mill, J.; Richards, S.; Knight, J.; Curran, S.; Taylor, E.; Asherson, P. Haplotype Analysis of SNAP-25 Suggests a Role in the Aetiology of ADHD. Mol. Psychiatry 2004, 9, 801–810. [Google Scholar] [CrossRef][Green Version]
  139. Gizer, I.R.; Ficks, C.; Waldman, I.D. Candidate Gene Studies of ADHD: A Meta-Analytic Review. Hum. Genet. 2009, 126, 51–90. [Google Scholar] [CrossRef]
  140. Zhang, H.; Zhu, S.; Zhu, Y.; Chen, J.; Zhang, G.; Chang, H. An Association Study between SNAP-25 Gene and Attention-Deficit Hyperactivity Disorder. Eur. J. Paediatr. Neurol. 2011, 15, 48–52. [Google Scholar] [CrossRef]
  141. Cervantes-Henríquez, M.L.; Acosta-López, J.E.; Martinez, A.F.; Arcos-Burgos, M.; Puentes-Rozo, P.J.; Vélez, J.I. Machine Learning Prediction of ADHD Severity: Association and Linkage to ADGRL3, DRD4, and SNAP25. J. Atten. Disord. 2022, 26, 587–605. [Google Scholar] [CrossRef] [PubMed]
  142. Hawi, Z.; Matthews, N.; Wagner, J.; Wallace, R.H.; Butler, T.J.; Vance, A.; Kent, L.; Gill, M.; Bellgrove, M.A. DNA Variation in the SNAP25 Gene Confers Risk to ADHD and Is Associated with Reduced Expression in Prefrontal Cortex. PLoS ONE 2013, 8, e60274. [Google Scholar] [CrossRef] [PubMed]
  143. Wang, C.; Yang, B.; Fang, D.; Zeng, H.; Chen, X.; Peng, G.; Cheng, Q.; Liang, G. The Impact of SNAP25 on Brain Functional Connectivity Density and Working Memory in ADHD. Biol. Psychol. 2018, 138, 35–40. [Google Scholar] [CrossRef] [PubMed]
  144. Fang, D.; Yang, B.; Wang, P.; Mo, T.; Gan, Y.; Liang, G.; Huang, R.; Zeng, H. Role of SNAP-25 MnlI Variant in Impaired Working Memory and Brain Functions in Attention Deficit/Hyperactivity Disorder. Brain Behav. 2022, 12, e2758. [Google Scholar] [CrossRef] [PubMed]
  145. McGough, J.; McCracken, J.; Swanson, J.; Riddle, M.; Kollins, S.; Greenhill, L.; Abikoff, H.; Davies, M.; Chuang, S.; Wigal, T.; et al. Pharmacogenetics of Methylphenidate Response in Preschoolers with ADHD. J. Am. Acad. Child Adolesc. Psychiatry 2006, 45, 1314–1322. [Google Scholar] [CrossRef] [PubMed]
  146. Song, J.; Kim, S.W.; Hong, H.J.; Lee, M.G.; Lee, B.W.; Choi, T.K.; Lee, S.-H.; Yook, K.-H. Association of SNAP-25, SLC6A2, and LPHN3 with OROS Methylphenidate Treatment Response in Attention-Deficit/Hyperactivity Disorder. Clin. Neuropharmacol. 2014, 37, 136–141. [Google Scholar] [CrossRef]
  147. Ünal, G.A.; Inci Kenar, A.N.; Tepeli, E.; Kiroǧlu, Y.; Herken, H. Relationship between the SNAP-25 Gene and the Effects of Methylphenidate on the Anterior Cingulate Cortex of Patients with Adult Attention Deficit Hyperactivity Disorder: A Magnetic Resonance Spectroscopy Study. Eur. Rev. Med. Pharmacol. Sci. 2016, 20, 2443–2449. [Google Scholar]
  148. Öner, Ö.; Akin, A.; Herken, H.; Erdal, M.E.; Çiftçi, K.; Ay, M.E.; Bicer, D.; Öncü, B.; Bozkurt, O.H.; Münir, K.; et al. Association among SNAP-25 Gene DdeI and MnlI Polymorphisms and Hemodynamic Changes during Methylphenidate Use: A Functional near-Infrared Spectroscopy Study. J. Atten. Disord. 2011, 15, 628–637. [Google Scholar] [CrossRef]
  149. Li, J.; Yan, W.J.; Wu, Y.; Tian, X.X.; Zhang, Y.W. Synaptosomal-Associated Protein 25 Gene Polymorphisms Affect Treatment Efficiency of Methylphenidate in Children with Attention-Deficit Hyperactivity Disorder: An FNIRS Study. Front. Behav. Neurosci. 2022, 15, 793643. [Google Scholar] [CrossRef]
  150. Arcos-Burgos, M.; Jain, M.; Acosta, M.T.; Shively, S.; Stanescu, H.; Wallis, D.; Domené, S.; Vélez, J.I.; Karkera, J.D.; Balog, J.; et al. A Common Variant of the Latrophilin 3 Gene, LPHN3, Confers Susceptibility to ADHD and Predicts Effectiveness of Stimulant Medication. Mol. Psychiatry 2010, 15, 1053–1066. [Google Scholar] [CrossRef] [PubMed]
  151. Bruxel, E.M.; Salatino-Oliveira, A.; Akutagava-Martins, G.C.; Tovo-Rodrigues, L.; Genro, J.P.; Zeni, C.P.; Polanczyk, G.V.; Chazan, R.; Schmitz, M.; Arcos-Burgos, M.; et al. LPHN3 and Attention-Deficit/Hyperactivity Disorder: A Susceptibility and Pharmacogenetic Study. Genes Brain Behav. 2015, 14, 419–427. [Google Scholar] [CrossRef] [PubMed]
  152. Acosta, M.T.; Swanson, J.; Stehli, A.; Molina, B.S.G.; Martinez, A.F.; Arcos-Burgos, M.; Muenke, M. ADGRL3 (LPHN3) Variants Are Associated with a Refined Phenotype of ADHD in the MTA Study. Mol. Genet. Genom. Med. 2016, 4, 540–547. [Google Scholar] [CrossRef] [PubMed]
  153. Huang, X.; Zhang, Q.; Gu, X.; Hou, Y.; Wang, M.; Chen, X.; Wu, J. LPHN3 Gene Variations and Susceptibility to ADHD in Chinese Han Population: A Two-Stage Case–Control Association Study and Gene–Environment Interactions. Eur. Child Adolesc. Psychiatry 2019, 28, 861–873. [Google Scholar] [CrossRef] [PubMed]
  154. Arcos-Burgos, M.; Vélez, J.I.; Martinez, A.F.; Ribasés, M.; Ramos-Quiroga, J.A.; Sánchez-Mora, C.; Richarte, V.; Roncero, C.; Cormand, B.; Fernández-Castillo, N.; et al. ADGRL3 (LPHN3) Variants Predict Substance Use Disorder. Transl. Psychiatry 2019, 9, 42. [Google Scholar] [CrossRef] [PubMed]
  155. Bruxel, E.M.; Moreira-Maia, C.R.; Akutagava-Martins, G.C.; Quinn, T.P.; Klein, M.; Franke, B.; Ribasés, M.; Rovira, P.; Sánchez-Mora, C.; Kappel, D.B.; et al. Meta-Analysis and Systematic Review of ADGRL3 (LPHN3) Polymorphisms in ADHD Susceptibility. Mol. Psychiatry 2021, 26, 2277–2285. [Google Scholar] [CrossRef] [PubMed]
  156. O’Sullivan, M.L.; de Wit, J.; Savas, J.N.; Comoletti, D.; Otto-Hitt, S.; Yates, J.R.; Ghosh, A. FLRT Proteins Are Endogenous Latrophilin Ligands and Regulate Excitatory Synapse Development. Neuron 2012, 73, 903–910. [Google Scholar] [CrossRef]
  157. O’Sullivan, M.L.; Martini, F.; von Daake, S.; Comoletti, D.; Ghosh, A. LPHN3, a Presynaptic Adhesion-GPCR Implicated in ADHD, Regulates the Strength of Neocortical Layer 2/3 Synaptic Input to Layer 5. Neural Dev. 2014, 9, 7. [Google Scholar] [CrossRef]
  158. Sando, R.; Jiang, X.; Südhof, T.C. Latrophilin GPCRs Direct Synapse Specificity by Coincident Binding of FLRTs and Teneurins. Science 2019, 363, eaav7969. [Google Scholar] [CrossRef]
  159. Regan, S.L.; Pitzer, E.M.; Hufgard, J.R.; Sugimoto, C.; Williams, M.T.; Vorhees, C.V. A Novel Role for the ADHD Risk Gene Latrophilin-3 in Learning and Memory in Lphn3 Knockout Rats. Neurobiol. Dis. 2021, 158, 105456. [Google Scholar] [CrossRef]
  160. Regan, S.L.; Williams, M.T.; Vorhees, C.V. Latrophilin-3 Disruption: Effects on Brain and Behavior. Neurosci. Biobehav. Rev. 2021, 127, 619–629. [Google Scholar] [CrossRef]
  161. Demontis, D.; Walters, R.K.; Martin, J.; Mattheisen, M.; Als, T.D.; Agerbo, E.; Baldursson, G.; Belliveau, R.; Bybjerg-Grauholm, J.; Bækvad-Hansen, M.; et al. Discovery of the First Genome-Wide Significant Risk Loci for Attention Deficit/Hyperactivity Disorder. Nat. Genet. 2019, 51, 63–75. [Google Scholar] [CrossRef] [PubMed]
  162. Dmitrzak-Weglarz, M.; Paszynska, E.; Bilska, K.; Szczesniewska, P.; Bryl, E.; Duda, J.; Dutkiewicz, A.; Tyszkiewicz-Nwafor, M.; Czerski, P.; Hanc, T.; et al. Common and Unique Genetic Background between Attention-Deficit/Hyperactivity Disorder and Excessive Body Weight. Genes 2021, 12, 1407. [Google Scholar] [CrossRef] [PubMed]
  163. Wang, Y.; Kerrisk Campbell, M.; Tom, I.; Foreman, O.; Hanson, J.E.; Sheng, M. PCDH7 Interacts with GluN1 and Regulates Dendritic Spine Morphology and Synaptic Function. Sci. Rep. 2020, 10, 10951. [Google Scholar] [CrossRef] [PubMed]
  164. Hasin, Y.; Seldin, M.; Lusis, A. Multi-Omics Approaches to Disease. Genome Biol. 2017, 18, 83. [Google Scholar] [CrossRef]
  165. Hubers, N.; Hagenbeek, F.A.; Pool, R.; Déjean, S.; Harms, A.C.; Roetman, P.J.; van Beijsterveldt, C.E.M.; Fanos, V.; Ehli, E.A.; Vermeiren, R.R.J.M.; et al. Integrative multi-omics analysis of genomic, epigenomic, and metabolomics data leads to new insights for Attention-Deficit/Hyperactivity Disorder. Am. J. Med. Genet. Part B Neuropsychiatr. Genet. 2023. [Google Scholar] [CrossRef]
  166. Hagenbeek, F.A.; van Dongen, J.; Pool, R.; Roetman, P.J.; Harms, A.C.; Hottenga, J.J.; Kluft, C.; Colins, O.F.; van Beijsterveldt, C.E.M.; Fanos, V.; et al. Integrative Multi-Omics Analysis of Childhood Aggressive Behavior. Behav. Genet. 2023, 53, 101–117. [Google Scholar] [CrossRef]
  167. Cabana-Domínguez, J.; Soler Artigas, M.; Arribas, L.; Alemany, S.; Vilar-Ribó, L.; Llonga, N.; Fadeuilhe, C.; Corrales, M.; Richarte, V.; Ramos-Quiroga, J.A.; et al. Comprehensive Analysis of Omics Data Identifies Relevant Gene Networks for Attention-Deficit/Hyperactivity Disorder (ADHD). Transl. Psychiatry 2022, 12, 409. [Google Scholar] [CrossRef]
  168. Rodenas-Cuadrado, P.; Ho, J.; Vernes, S.C. Shining a Light on CNTNAP2: Complex Functions to Complex Disorders. Eur. J. Hum. Genet. 2014, 22, 171–178. [Google Scholar] [CrossRef]
  169. Cubelos, B.; Sebastián-Serrano, A.; Beccari, L.; Calcagnotto, M.E.; Cisneros, E.; Kim, S.; Dopazo, A.; Alvarez-Dolado, M.; Redondo, J.M.; Bovolenta, P.; et al. Cux1 and Cux2 Regulate Dendritic Branching, Spine Morphology, and Synapses of the Upper Layer Neurons of the Cortex. Neuron 2010, 66, 523–535. [Google Scholar] [CrossRef]
  170. Scholz, R.; Berberich, S.; Rathgeber, L.; Kolleker, A.; Köhr, G.; Kornau, H.-C. AMPA Receptor Signaling through BRAG2 and Arf6 Critical for Long-Term Synaptic Depression. Neuron 2010, 66, 768–780. [Google Scholar] [CrossRef]
  171. Priya, A.; Johar, K.; Wong-Riley, M.T.T. Specificity Protein 4 Functionally Regulates the Transcription of NMDA Receptor Subunits GluN1, GluN2A, and GluN2B. Biochim. Biophys. Acta (BBA) Mol. Cell Res. 2013, 1833, 2745–2756. [Google Scholar] [CrossRef]
  172. Varea, O.; Martin-de-Saavedra, M.D.; Kopeikina, K.J.; Schürmann, B.; Fleming, H.J.; Fawcett-Patel, J.M.; Bach, A.; Jang, S.; Peles, E.; Kim, E.; et al. Synaptic Abnormalities and Cytoplasmic Glutamate Receptor Aggregates in Contactin Associated Protein-like 2/Caspr2 Knockout Neurons. Proc. Natl. Acad. Sci. USA 2015, 112, 6176–6181. [Google Scholar] [CrossRef] [PubMed]
  173. Gao, R.; Zaccard, C.R.; Shapiro, L.P.; Dionisio, L.E.; Martin-de-Saavedra, M.D.; Piguel, N.H.; Pratt, C.P.; Horan, K.E.; Penzes, P. The CNTNAP2-CASK Complex Modulates GluA1 Subcellular Distribution in Interneurons. Neurosci. Lett. 2019, 701, 92–99. [Google Scholar] [CrossRef]
  174. Blanpied, T.A.; Clarke, R.J.; Johnson, J.W. Amantadine Inhibits NMDA Receptors by Accelerating Channel Closure during Channel Block. J. Neurosci. 2005, 25, 3312–3322. [Google Scholar] [CrossRef] [PubMed]
  175. Xia, P.; Chen, H.S.V.; Zhang, D.; Lipton, S.A. Memantine Preferentially Blocks Extrasynaptic over Synaptic NMDA Receptor Currents in Hippocampal Autapses. J. Neurosci. 2010, 30, 11246–11250. [Google Scholar] [CrossRef] [PubMed]
  176. Nikolaus, S.; Wittsack, H.J.; Beu, M.; Antke, C.; Hautzel, H.; Wickrath, F.; Müller-Lutz, A.; De Souza Silva, M.A.; Huston, J.P.; Antoch, G.; et al. Amantadine Enhances Nigrostriatal and Mesolimbic Dopamine Function in the Rat Brain in Relation to Motor and Exploratory Activity. Pharmacol. Biochem. Behav. 2019, 179, 156–170. [Google Scholar] [CrossRef]
  177. Rogawski, M.A.; Wenk, G.L. The Neuropharmacological Basis for the Use of Memantine in the Treatment of Alzheimer’s Disease. CNS Drug Rev. 2006, 9, 275–308. [Google Scholar] [CrossRef]
  178. Mohammadi, M.R.; Mohammadzadeh, S.; Akhondzadeh, S. Memantine versus Methylphenidate in Children and Adolescents with Attention Deficit Hyperactivity Disorder: A Double-Blind, Randomized Clinical Trial. Iran. J. Psychiatry 2015, 10, 106–114. [Google Scholar]
  179. Mohammadi, M.R.; Kazemi, M.R.; Zia, E.; Rezazadeh, S.A.; Tabrizi, M.; Akhondzadeh, S. Amantadine versus Methylphenidate in Children and Adolescents with Attention Deficit/Hyperactivity Disorder: A Randomized, Double-Blind Trial. Hum. Psychopharmacol. 2010, 25, 560–565. [Google Scholar] [CrossRef]
  180. Biederman, J.; Fried, R.; Tarko, L.; Surman, C.; Spencer, T.; Pope, A.; Grossman, R.; McDermott, K.; Woodworth, K.Y.; Faraone, S.V. Memantine in the Treatment of Executive Function Deficits in Adults with ADHD. J. Atten. Disord. 2017, 21, 343–352. [Google Scholar] [CrossRef]
  181. Surman, C.B.H.; Hammerness, P.G.; Petty, C.; Spencer, T.; Doyle, R.; Napolean, S.; Chu, N.; Yorks, D.; Biederman, J. A Pilot Open Label Prospective Study of Memantine Monotherapy in Adults with ADHD. World J. Biol. Psychiatry 2013, 14, 291–298. [Google Scholar] [CrossRef] [PubMed]
  182. Fu, D.; Wu, D.-D.; Guo, H.-L.; Hu, Y.-H.; Xia, Y.; Ji, X.; Fang, W.-R.; Li, Y.-M.; Xu, J.; Chen, F.; et al. The Mechanism, Clinical Efficacy, Safety, and Dosage Regimen of Atomoxetine for ADHD Therapy in Children: A Narrative Review. Front. Psychiatry 2022, 12, 780921. [Google Scholar] [CrossRef] [PubMed]
  183. Piña, R.; Rozas, C.; Contreras, D.; Hardy, P.; Ugarte, G.; Zeise, M.L.; Rojas, P.; Morales, B. Atomoxetine Reestablishes Long Term Potentiation in a Mouse Model of Attention Deficit/Hyperactivity Disorder. Neuroscience 2020, 439, 268–274. [Google Scholar] [CrossRef] [PubMed]
  184. Marrs, W.; Kuperman, J.; Avedian, T.; Roth, R.H.; Jentsch, J.D. Alpha-2 Adrenoceptor Activation Inhibits Phencyclidine-Induced Deficits of Spatial Working Memory in Rats. Neuropsychopharmacology 2005, 30, 1500–1510. [Google Scholar] [CrossRef][Green Version]
  185. Pasierski, M.; Kołba, W.; Szulczyk, B. Guanfacine Inhibits Interictal Epileptiform Events and Sodium Currents in Prefrontal Cortex Pyramidal Neurons. Pharmacol. Rep. 2023, 75, 331–341. [Google Scholar] [CrossRef]
  186. Labbe, A.; Liu, A.; Atherton, J.; Gizenko, N.; Fortier, M.È.; Sengupta, S.M.; Ridha, J. Refining Psychiatric Phenotypes for Response to Treatment: Contribution of LPHN3 in ADHD. Am. J. Med. Genet. Part B Neuropsychiatr. Genet. 2012, 159B, 776–785. [Google Scholar] [CrossRef]
  187. Gomez-Sanchez, C.I.; Carballo, J.J.; Riveiro-Alvarez, R.; Soto-Insuga, V.; Rodrigo, M.; Mahillo-Fernandez, I.; Abad-Santos, F.; Dal-Ré, R.; Ayuso, C. Pharmacogenetics of Methylphenidate in Childhood Attention-Deficit/Hyperactivity Disorder: Long-Term Effects. Sci. Rep. 2017, 7, 10391. [Google Scholar] [CrossRef]
  188. Vidor, M.V.; Panzenhagen, A.C.; Martins, A.R.; Cupertino, R.B.; Bandeira, C.E.; Picon, F.A.; da Silva, B.S.; Vitola, E.S.; Rohde, L.A.; Rovaris, D.L.; et al. Emerging Findings of Glutamate–Glutamine Imbalance in the Medial Prefrontal Cortex in Attention Deficit/Hyperactivity Disorder: Systematic Review and Meta-Analysis of Spectroscopy Studies. Eur. Arch. Psychiatry Clin. Neurosci. 2022, 272, 1395–1411. [Google Scholar] [CrossRef] [PubMed]
  189. Edden, R.A.E.; Crocetti, D.; Zhu, H.; Gilbert, D.L.; Mostofsky, S.H. Reduced GABA Concentration in Attention-Deficit/Hyperactivity Disorder. Arch. Gen. Psychiatry 2012, 69, 750–753. [Google Scholar] [CrossRef]
  190. Naaijen, J.; Bralten, J.; Poelmans, G.; Glennon, J.C.; Franke, B.; Buitelaar, J.K.; Faraone, S.; Asherson, P.; Banaschewski, T.; Ebstein, R.P.; et al. Glutamatergic and GABAergic Gene Sets in Attention-Deficit/Hyperactivity Disorder: Association to Overlapping Traits in ADHD and Autism. Transl. Psychiatry 2017, 7, e999. [Google Scholar] [CrossRef]
  191. Chapman, C.A.; Nuwer, J.L.; Jacob, T.C. The Yin and Yang of GABAergic and Glutamatergic Synaptic Plasticity: Opposites in Balance by Crosstalking Mechanisms. Front. Synaptic Neurosci. 2022, 14, 911020. [Google Scholar] [CrossRef]
  192. Véronneau-Veilleux, F.; Robaey, P.; Ursino, M.; Nekka, F. A Mechanistic Model of ADHD as Resulting from Dopamine Phasic/Tonic Imbalance during Reinforcement Learning. Front. Comput. Neurosci. 2022, 16, 849323. [Google Scholar] [CrossRef] [PubMed]
  193. Surmeier, D.J.; Ding, J.; Day, M.; Wang, Z.; Shen, W. D1 and D2 Dopamine-Receptor Modulation of Striatal Glutamatergic Signaling in Striatal Medium Spiny Neurons. Trends Neurosci. 2007, 30, 228–235. [Google Scholar] [CrossRef] [PubMed]
  194. Wang, L.P.; Li, F.; Wang, D.; Xie, K.; Wang, D.; Shen, X.; Tsien, J.Z. NMDA Receptors in Dopaminergic Neurons Are Crucial for Habit Learning. Neuron 2011, 72, 1055–1066. [Google Scholar] [CrossRef] [PubMed]
  195. Chen, H.; Yang, Y.; Odisho, D.; Wu, S.; Yi, C.; Oliver, B.G. Can Biomarkers Be Used to Diagnose Attention Deficit Hyperactivity Disorder? Front. Psychiatry 2023, 14, 1026616. [Google Scholar] [CrossRef]
  196. Shen, H.; Li, Z. MiRNAs in NMDA Receptor-Dependent Synaptic Plasticity and Psychiatric Disorders. Clin. Sci. 2016, 130, 1137–1146. [Google Scholar] [CrossRef] [PubMed]
  197. Ciano-Petersen, N.L.; Cabezudo-García, P.; Muñiz-Castrillo, S.; Honnorat, J.; Serrano-Castro, P.J.; Oliver-Martos, B. Current Status of Biomarkers in Anti-N-Methyl-D-Aspartate Receptor Encephalitis. Int. J. Mol. Sci. 2021, 22, 13127. [Google Scholar] [CrossRef]
  198. Olloquequi, J.; Cornejo-Córdova, E.; Verdaguer, E.; Soriano, F.X.; Binvignat, O.; Auladell, C.; Camins, A. Excitotoxicity in the Pathogenesis of Neurological and Psychiatric Disorders: Therapeutic Implications. J. Psychopharmacol. 2018, 32, 265–275. [Google Scholar] [CrossRef]
  199. Hess, J.L.; Akutagava-Martins, G.C.; Patak, J.D.; Glatt, S.J.; Faraone, S.V. Why Is There Selective Subcortical Vulnerability in ADHD? Clues from Postmortem Brain Gene Expression Data. Mol. Psychiatry 2018, 23, 1787–1793. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.