Next Article in Journal
Role of ABCA1 in Cardiovascular Disease
Next Article in Special Issue
STAT3 and NTRK2 Genes Predicted by the Bioinformatics Approach May Play Important Roles in the Pathogenesis of Multiple Sclerosis and Obsessive–Compulsive Disorder
Previous Article in Journal
Regulation of Key Immune-Related Genes in the Heart Following Burn Injury
Previous Article in Special Issue
Brain Mapping the Effects of Chronic Aerobic Exercise in the Rat Brain Using FDG PET
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Commentary

Researching Mitigation of Alcohol Binge Drinking in Polydrug Abuse: KCNK13 and RASGRF2 Gene(s) Risk Polymorphisms Coupled with Genetic Addiction Risk Severity (GARS) Guiding Precision Pro-Dopamine Regulation

1
The Kenneth Blum Behavioral & Neurogenetic Institute, Austin, TX 78701, USA
2
Division of Addiction Research & Education, Center for Psychiatry, Medicine & Primary Care (Office of Provost), Western University Health Sciences, Pomona, CA 91766, USA
3
Institute of Psychology, ELTE Eötvös Loránd University, Egyetem tér 1-3, 1053 Budapest, Hungary
4
Department of Psychiatry, School of Medicine, University of Vermont, Burlington, VT 05405, USA
5
Department of Psychiatry, Wright State University Boonshoft School of Medicine and Dayton VA Medical Centre, Dayton, OH 45324, USA
6
Center for Alcohol Research in Epigenetics, Departments of Physiology and Biophysics, and Psychiatry, University of Illinois at Chicago, Chicago, IL 60612, USA
7
Center for Alcohol Research in Epigenetics, Department of Psychiatry, University of Illinois at Chicago, and Jesse Brown Veterans Affairs Medical Center, Chicago, IL 60612, USA
8
Molecular Neuropsychiatry Research Branch, National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD 20892, USA
9
Future Biologics, Lawrenceville, GA 30043, USA
10
Center for Pain and the Brain (P.A.I.N Group), Department of Anesthesiology, Critical Care & Pain Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
11
Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions, Clinical Research Institute on Addictions, Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biosciences, State University of New York at Buffalo, Buffalo, NY 14203, USA
12
Department of Psychology, State University of New York at Buffalo, Buffalo, NY 14203, USA
13
Neuropsychopharmacology Laboratory, Department of Anatomy, Howard University College of Medicine, Washington, DC 20059, USA
14
College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA 91766, USA
15
Department of Molecular Biology and Adelson School of Medicine, Ariel University, Ariel 40700, Israel
16
Department of Psychiatry, South Texas Veteran Health Care System, Audie L. Murphy Memorial VA Hospital, Long School of Medicine, University of Texas Medical Center, San Antonio, TX 78229, USA
17
Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2022, 12(6), 1009; https://doi.org/10.3390/jpm12061009
Submission received: 8 June 2022 / Revised: 12 June 2022 / Accepted: 16 June 2022 / Published: 20 June 2022

Abstract

:
Excessive alcohol intake, e.g., binge drinking, is a serious and mounting public health problem in the United States and throughout the world. Hence the need for novel insights into the underlying neurobiology that may help improve prevention and therapeutic strategies. Therefore, our group employed a darkness-induced alcohol intake protocol to define the reward deficiency domains of alcohol and other substance use disorders in terms of reward pathways’ reduced dopamine signaling and its restoration via specifically-designed therapeutic compounds. It has been determined that KCNK13 and RASGRF2 genes, respectively, code for potassium two pore domain channel subfamily K member 13 and Ras-specific guanine nucleotide-releasing factor 2, and both genes have important dopamine-related functions pertaining to alcohol binge drinking. We present a hypothesis that identification of KCNK13 and RASGRF2 genes’ risk polymorphism, coupled with genetic addiction risk score (GARS)-guided precision pro-dopamine regulation, will mitigate binge alcohol drinking. Accordingly, we review published reports on the benefits of this unique approach and provide data on favorable outcomes for both binge-drinking animals and drunk drivers, including reductions in alcohol intake and prevention of relapse to drinking behavior. Since driving under the influence of alcohol often leads to incarceration rather than rehabilitation, there is converging evidence to support the utilization of GARS with or without KCNK13 and RASGRF2 risk polymorphism in the legal arena, whereby the argument that “determinism” overrides the “free will” account may be a plausible defense strategy. Obviously, this type of research is tantamount to helping resolve a major problem related to polydrug abuse.

1. Introduction

Excessive alcohol intake, e.g., binge drinking, is a serious public health problem in the United States and throughout the world. The fact that the rates of binge drinking are rising steadily calls for novel insights into the underlying neurobiology which may help improve prevention and therapeutic strategies [1]. Like other substance use disorders (SUDs), alcohol use disorder (AUD) is characterized by reduced dopamine signaling in the brain reward circuits, supporting its classification among other reward deficiency syndromes (RDSs) [2,3,4].
In the laboratory setting, the darkroom test, developed in the early 1970s, is a well-established technique to assess abnormalities of dopamine homeostasis and the efficacy of therapeutic compounds aimed at homeostatic restoration [5,6,7,8]. This procedure involves darkness-induced alcohol intake that is not only linked to melatonin-serotonergic mechanisms [6], but also to dopaminergic regulation of the brain’s mesolimbic pathways, switching neuronal expression in response to long photoperiods modulating gene expression [8].
It is widely recognized that increasing dopamine availability, and thus restoring dopamine homeostasis in the mesocorticolimbic system, could attenuate the motivation to seek and consume addictive substances, including alcohol [9,10]. In this regard, Solanki et al. [3] reported that the pro-dopamine regulator complex KB220 [11], administered intraperitoneally (IP) or subcutaneously (SQ), markedly and immediately reduced binge drinking of 10% alcohol (utilizing the darkroom procedure) in both male and female rats. Oral administration of KB220 was associated with a longer time period (at least three days) for the demonstration of a reliable decrease in alcohol-induced lever-pressing by both male and female alcohol-preferring rats. The same compound also decreased [3] general risk-taking behaviors [12] associated with alcohol intake [13] and other RDSs [2], e.g., activity in the open field and time spent in the open arm of the Elevated Zero Maze. As a result, this study supports KB220’s beneficial effects in reducing alcohol binge drinking in genetically-predisposed, alcohol-preferring rats. Clinical trials likewise point to the KB220 variants’ efficacy in various types of RDSs, including AUD and other classes of addictive drugs [14,15].
It is to be noted that while this article is not an exhaustive review of the entire literature, we utilized articles listed in PUBMED to organize and refer to selected items to provide rationale for our retort. When we utilized each specific gene, such as KCNK13, we found 13 items listed, and when we utilized the term RASGRF2, we found 51 items listed. Since this is a commentary and not a systematic review, only a select number of papers were cited.
The products of two genes, namely KCNK13 and RASGRF2, respectively, code for potassium-two pore domain channel subfamily K member 13 and Ras-specific guanine nucleotide-releasing factor two, may also play an important role in alcohol binge drinking. The following sections present convergent lines of evidence suggesting that reduced KCNK13 and RASGRF2 function, due to genetic risk polymorphisms, could lead to an attenuated release of dopamine following acute alcohol administration [16]. This blunted reward response could set an individual up for alcohol and drug abuse problems and may be helpfully adjusted for by the individually tailored KB220-derived compounds.

1.1. KCNK13 and Binge Drinking

Potassium (K+) leak currents’ role in neuromuscular function has been established about half a century ago [17,18]. These leak currents control neuronal excitability by shaping the duration, frequency, and amplitude of action potentials and by stabilizing the resting membrane potential. That is why suppression of leak currents enables depolarization and can cause initiation of action potentials. K+ leak currents are regulated by many chemical messengers, including but not limited to molecular oxygen, cyclic nucleotides, noradrenaline, γ-aminobutyric acid, and serotonin [19,20,21,22]. Inhibition of resting K+ leak currents by serotonin, noradrenaline, substance P, glutamate, thyrotropin-releasing hormone, and acetylcholine increases neuronal excitability in the central nervous system. In 1996, a two-P-domain channel subunit—TOK1—was found and constituted the first example of a non-voltage-gated outward rectifier [23]. It is noteworthy that KCNK0 was cloned from the neuromuscular tissues of the adult Drosophila melanogaster; it was found to possess the capacity to rescue potassium-transport-defective yeast cells [24]. KCNK13, first characterized by Rajan et al. [25], is a leak potassium channel that stabilizes neurons and contributes to maintaining the resting membrane potential. Specifically, two cDNAs encoding novel K+ channels, THIK-1 and THIK-2 (tandem pore domain halothane inhibited K+ channel), were extracted from rat brain; subsequently, the genes of the human orthologs were detected in human genomic database entries. They possessed one intron each and were assigned to chromosomal regions 14q24.1-14q24.3 (human (h) THIK-1) and 2p22-2p21 (hTHIK-2). As discussed below, a recent study supports the role of KCNK13 in binge drinking [26]. Variants in this gene may be involved in abnormal alcohol responses, as the response of the VTA to alcohol is dependent on KCNK13 expression [27]. However, currently, there is a dearth of information regarding polymorphisms of the KCNK13 gene, calling for more comprehensive studies regarding innate risk alleles showing reduced mRNA expression and subsequent transcription.
A genetic predisposition, viz., the RDS feature of heightened alcohol tolerance [28], is an important etiological factor implicated in adolescent and young adult binge drinking [29]. Brain reward processing is partially a function of dopaminergic signaling, regulated by dopamine synthesis, reuptake, and degradation [30]. The dopamine transporter (DAT1), which is involved in dopamine reuptake, displays a four-times greater reuptake activity in carriers with the 9 alleles than in carriers with the 10 alleles [31]. Individuals homozygous for the COMT-Met allele, associated with lower enzyme activity and greater dopamine availability, demonstrate stronger alcohol-induced intoxication than those who are homozygous for the Val allele. In fact, the genotype combination of COMT Val/Val DAT 9R is associated with blunted ventral striatal responses. These associations suggest that reduced reward sensitivity is determined partially by the aforementioned gene polymorphisms. Moreover, particular combinations of the dopamine D2 gene and the ALDH2 gene polymorphisms seem to be protective against AUD and opioid use disorder. As a result, logistic regression analysis revealed a significant interaction between ALDH2, ADH1B, and DRD2 gene polymorphisms in these patients [32]. The authors suggested that the ADH1B*1/*1, ADH1B*1/*2, and ALDH2*1/*1 genotypes may interact and guard their carriers against opioid use disorder, and the protective effect may vary relative to DRD2 gene polymorphisms. The same group also found that similar genotype combinations exhibited some protective effects against anxiety and alcoholism [33]. Additionally, it is known that people homozygous for the ALDH2 gene appear to be “protected” against binge drinking. People with the short variant of the serotonin transporter gene, which has also been implicated in RDS [34], consume more alcohol on a single occasion and become intoxicated more frequently than young adults with the normal gene variant [35,36].
Systematic assessment of the newer genetic and molecular neurobiological findings relevant to the physiological and psychological determinants of high alcohol consumption (including binge drinking) in animals and humans is presently ongoing [37]. While candidate gene approaches are still commonly employed to investigate associations with psychiatric disorders, Genome-Wide Association Studies (GWAS) have emphasized the multifactorial convergence entity [38,39]. For instance, second messenger genes and associated polymorphism inquiries are poised to unravel the underpinnings of binge drinking behavior, including Ras-specific guanine nucleotide-releasing factor 2 (RASGRF2), EHD4, Snapc3, and EDH1. It is noteworthy that these cited genes modulate mesolimbic dopaminergic neurons’ cell bodies in the ventral tegmental area (VTA) that send axonal projections to the ventral striatum, including the nucleus accumbens (NAc) [40,41,42]. Additionally, G protein-coupled inwardly rectifying potassium (GIRK) channels [43] are the critical regulators of neuronal excitability and affect cocaine sensitivity. Notably, potassium (GIRK) channels can be directly activated by alcohol [44,45], and GIRK3 expression in the VTA is modulated by binge drinking. Specifically, Herman et al. [46] reported that the deletion of GIRK3 in knockout (KO) mice selectively increased alcohol binge-like drinking. Also, GIRK3 KO mice showed a blunted response of the mesolimbic D-ergic pathway to alcohol, as assessed by alcohol-induced excitation of VTA neurons and dopamine release in the NAc. Second messengers and their roles in all RDS behaviors have generated a substantive interest in genetic exploration in other neuropsychiatric syndromes, including schizophrenia [47].
VTA neuron excitation by alcohol is inhibited by the quaternary amine, and quinidine [48] blocks diverse ion channels, including the two-pore potassium channel KCNK13. Nimitvilai et al. [49] suggested that the primary drivers of alcohol excitation of VTA neurons might be a number of ion channels, viz., h-channels (HCN) [50,51], and G protein-coupled potassium channels (GIRK) [46]. One class of ion channel, referred to as the leak K+ channel, is constitutively open and helps maintain a negative resting membrane potential [52].
A recent study elegantly investigated the role of the two-pore potassium channel KCNK13 and binge drinking [26]. Specifically, they found that alcohol-induced excitation of VTA neurons was selectively attenuated by shRNA targeting KCNK13. KCNK13 knockdown in the VTA also resulted in augmented alcohol intake (Figure 1). In this study, mice with decreased expression of KCNK13 in the VTA drank more alcohol than controls during the two-hour sessions, indicating the role of KCNK13 in this model of binge alcohol drinking. The effects of chronic ethanol exposure on KCNK13 have not been fully characterized in VTA, but recently it was shown that after 24 h of withdrawal after chronic ethanol exposure, there is a significant upregulation of Kcnk13 mRNA, and at 72 h of withdrawal, there is a significant downregulation of Kcnk13 mRNA. This time-dependent regulation of Kcnk13 during withdrawal after chronic ethanol exposure was reported by You et al. [27].
Since a decrease in KCNK13 channels enhances alcohol intake, a blocker of alcohol’s action on KCNK13 channels or an enhancer of KCNK13 activity may decrease alcohol-seeking behavior or even binge drinking, thus identifying a novel therapeutic target [26]. Perhaps of greater significance, there is the possibility that genetic risk polymorphisms linked to an innate deficit in KCNK13 channels, prior to any alcohol experience, may provide important information on early age vulnerability. Therefore, the identification of these polymorphisms is worthy of investigation. Furthermore, impairments caused by binge drinking or chronic alcohol intake, via these known mechanisms, support the idea of “dopamine homeostasis” [53,54,55] and its impairments in AUD.

1.2. Ras-Specific Guanine-Nucleotide Releasing Factor 2 (RASGRF2) and Binge Drinking

Following a genome-wide association meta-analysis implicating the RASGRF2 gene in regulating alcohol intake in humans, Stacey et al. [56] reported that male RASGRF2−/− mice exhibit attenuated alcohol consumption and preference concomitant with the perturbed mesolimbic dopamine system, which is consistent with the well-defined role of dopamine genetics in this system’s function [57,58].
RASGRF2 encodes a Ras-specific guanine nucleotide-releasing factor expressed across human tissues in the brain, where the expression appears to be neuron-specific [59]. It is a Ca2+/calmodulin-regulated protein responsible for coupling the N-methyl-D-aspartate and calcium-permeable α-Amino-3-hydroxy-5-methyl 4-isoxazolepropionic acid glutamate receptor–types to mitogen-activated protein kinase signaling cascades, including the extracellular signal-regulated kinase pathway [60,61]. GWAS meta-analysis of alcohol consumption helped to identify a male-specific signal in the RASGRF2 gene [62,63,64]. Schumann et al. [64] observed an association of Single Nucleotide Polymorphism (SNP) rs26907 in the RASGRF2 gene, which encodes a protein that mediates Ca2+-dependent activation of the ERK pathway.
In a series of experiments in both animals and humans, Stacey et al. [56,65] discovered important phenotypic associations with the RASGRF2−/− mice relative to wild-type (WT) controls. For example, alcohol-induced dopamine release in the ventral striatum was blunted in RASGRF2−/− mice as was excitability in the absence of Ras-GRF2. The RASGRF2 haplotype containing rs26907 is associated with a decreased reward sensitivity and a higher number of binge drinking episodes in male adolescents. Moreover, through the ERK pathway, RASGRF2 has been shown to activate the cAMP-response element-binding (CREB) protein while also promoting long-term potentiation in the mouse hippocampus [66]. Adolescent alcohol exposure produces a persistent reduction in CREB and related signaling proteins in the amygdala and promotes high alcohol intake in rats in adulthood [67,68].
Additionally, others [41,42] have found, in a co-expression analysis, a strong correlation between α2 adrenoceptor RNA expression and RASGRF2 in the ventral striatum in naïve animals. Also, following acute alcohol intake, there was a reduction in β1 adrenoceptor gene expression seen in RASGRF2(+/+) mice; this was not observed in RASGRF2(−/−) mice. Conversely, alcohol resulted in a reduction in both α2 and β2 adrenoceptor gene expression in knockout mice but not in WT RASGRF2 mice. Because mesolimbic dopaminergic and extrahypothalamic noradrenergic systems are intimately linked [55], blockade of adrenergic neurotransmission via pre-synaptic α2 adrenoceptors’ agonists or antagonists of post-synaptic α1 or β adrenoceptors (e.g., clonidine, guanfacine, or prazosin) has evolved as a well-tolerated therapeutic option for AUD and other SUDs [69,70,71]. It would also be of interest to examine the potential modulation of these receptors by the KCNK13 and/or RASGRF2 products. Following identification of the known risk alleles in binge drinkers, it may be feasible to propose that the overall solution to this problem is to restore dopamine homeostasis.

1.3. Precision Addiction Management for Binge Drinking Behavior

There are about 88,000 premature fatalities in the United States annually, with a cost of about $250 billion [72], which are usually linked to excessive binge drinking and driving under the influence (DUI) of alcohol [73]. Specifically, Flowers et al. [74] reported that 84% of alcohol-impaired (AI) drivers were binge drinkers, and 88% of AI driving episodes involved binge drinkers. Interestingly, it was also found that 11.9% of binge drinkers drove within 2 h of or during their most recent binge drinking episode [75]. Park and Wu [76] found that younger age, male sex, white race, higher income, and AUD were positively associated with DUIs. Behavioral counseling or brief motivational interviews shortly after the first arrest for DUI was found to be ineffective for reducing 90-day self-reported drinking behavior and seeking treatment for drinking [77]. Nochajski & Stasiewicz [78] suggested that while there has been a decrease in the fatality rate over the past few decades, the relapse rate of DUI offenders remains quite high. Furthermore, Shaffer et al. [79] observed that repeat DUI offenders have a higher 12-month and lifetime prevalence of AUD, other SUDs, conduct disorder, post-traumatic stress disorder, generalized anxiety disorder, and bipolar disorder compared to the general population [2].
Though it is widely accepted that dopamine is a major neurotransmitter involved in behavioral and substance addictions, there remains controversy on how to modulate dopamine clinically, as well as how to treat and prevent various types of addictive disorders. Our overreaching assumption is that restoring dopamine homeostasis in the mesocorticolimbic system by increasing dopamine availability could attenuate the motivation to seek and consume alcohol, i.e., binging.
It is noteworthy that alterations in synchronous neural activity between brain regions subserving reward and other cognitive functions may significantly contribute to AUD. Febo et al. [80] presented the first evidence that, in comparison to a placebo group, a pro-dopaminergic nutraceutical (KB220Z) significantly enhanced functional connectivity between reward and cognitive brain regions in the rodent model, including the NAc, hippocampus, anterior cingulate gyrus, anterior thalamic nuclei, prelimbic and infralimbic loci. Increased brain connectivity recruitment (i.e., axonal and spines’ neuroplasticity) and dopaminergic functionality were found across the brain reward circuitry. Importantly, increases in functional connectivity were specific to these regions and were not broadly distributed across the brain (Figure 2). This is important because studies on alcohol and drug effects in naïve rodents show reductions in functional connectivity after protracted withdrawal [81].
In earlier human experiments, Brown et al. [82] also revealed that KB220 variants specifically designed to enhance dopamine transmission, akin to the KB220z variant, significantly reduced relapse rates and enhanced recovery in DUI outpatient offenders over a 10-week period. Follow-up groups after 10 months revealed a respective 73% and 53% reduction in alcohol and cocaine intake.
Indeed, a possible approach to attenuating binge drinking in humans may be biphasic; a short-term blockade of dopamine receptors, followed by their long-term upregulation [83]. The goal of such a strategy is to augment brain reward functional connectivity and to target reward deficiency along with the stress-like anti-reward symptomatology of addiction [84,85]. Binge drinkers’ phenotypes can be characterized using the Genetic Addiction Risk Score (GARS) that identifies reward gene risk polymorphisms across the brain reward cascade [86,87,88,89,90]. Dopamine homeostasis may thus be achieved via “Precision Addiction/Behavioral Management” (PAM/PBM), the customization of neuronutrient supplementation based on the GARS test result, along with behavioral intervention [86,87,88,89,90,91,92,93,94,95,96,97,98].
We have already performed PBM to overcome genetically-induced hypodopaminergia in a female DUI offender [96]. This case underscores the unique approach of the GARS, which is paired with a customized pro-dopamine regulator matched to polymorphic reward genes with hypodopaminergic risk potential. The proband was a female with a history of AUD and another SUD. She experienced a DUI motor vehicle accident and consequently entered voluntary treatment. Following an assessment, she was genotyped with GARS and given a neuronutrient with a KB220 base, specified by the relevant gene polymorphisms. The proband demonstrated success in recovery from all substances; she also displayed improvements in socialization, well-being, economic status, and attenuation of major depression. The urine toxicology screens were negative for at least two months from the initiation of therapy. At that time point, the patient’s parents also underwent GARS with subsequent administration of the respective KB220 variants. The proband’s father (a binge drinker) and mother (no SUD) reported improvement in various behavioral patterns, including the former’s drinking. Finally, the proband’s biological children were also GARS tested, showing a high risk for SUDs. This case series encompassing three generations is an example of the impact genetic information coupled with an appropriate DNA-guided “Pro-Dopamine Regulator” can have on recovery and enhancement of performance. Of great interest is the most recent article by Pandey’s group [99] that reported dCas9-P300 increases histone acetylation at the Arc SARE and normalizes deficits in Arc expression, leading to attenuation of adult anxiety and excessive alcohol drinking after adolescent alcohol exposure in rats. On the other hand, dCas9-KRAB increases repressive histone methylation at the Arc SARE, decreases Arc expression, provokes anxiety, and increases alcohol drinking in alcohol naïve control rats. These results show that targeted epigenomic editing using CRISPR/dCas9 can ameliorate anxiety and alcohol drinking behaviors.

1.4. Determinism versus Free Will

The discovery of the association between the Taq A1 allele with AUD and stress [97] has been momentous in terms of trying to understand the interrelationships of DNA polymorphisms and epigenetic events. The age-old question of nature vs. nurture is beginning to be defined in terms of a balanced contribution by both. Our genomic testing center has developed the first clinically proven GARS test with PAM measuring ten reward-related genes (D1–D4, DAT1, µ opioid receptor, Serotonin transporter, GABAB3 receptor, COMT, and MAOA) and eleven SNPs. These results are coupled with a polymorphic matched pro-dopamine regulator (KB220Z PAM) to normalize “dopamine homeostasis”.
In the fields of forensics and law, there has been intense debate regarding the implementation of DNA-directed defense, especially as it relates to defendants with antisocial personality disorder. The major argument against this defense is the paucity of evidence substantiating the role of rehabilitation in reducing recidivism in convicted criminals [98]. In contrast, the evidence for SUDs is quite robust, with many therapeutic models showing significant improvement, reasonable (spontaneous) recovery rates, and associated genetic polymorphisms linked to better clinical outcomes. One of us (RG) has successfully utilized the GARS test results as a defense argument against incarceration in the San Antonio, TX drug court for at least 16 individuals with three or more non-fatal DUIs (data in preparation for publication). To date, rather than facing prison-time of about 190 years, the defendants have been sentenced by various judges to only 170 days imprisonment and mandated probation and rehabilitation, combined with other modalities (e.g., PAM/PBM), thus sustaining the GARS genetic evidence backing the “determinism” (genetic) vs. “free will” (environment) accounts.

2. Conclusions

A review of the literature revealed that KCNK13 and RASGRF2 products that affect ion channels that may modulate dopaminergic function may be involved in alcohol binge drinking. In the case of a RASGRF2 haplotype containing rs26907, this SNP is associated with a decreased reward sensitivity and a higher number of binge drinking episodes. However, there is still a paucity of evidence on the KCNK13 polymorphism. On the other hand, based on data previously published, there is ample evidence that the KB220 variant significantly attenuates binge drinking in rodents and significantly reduces relapse to alcohol in human DUI offenders. In additional work, it was also shown that in a female DUI offender, subsequent testing with GARS coupled with a semi-customized precision KB220 variant therapy resulted in a significant positive clinical outcome. Furthermore, the same KB220 variant contributed to increased functional connectivity and volume across specific brain regions involved in dopaminergic function in naïve rodents. Finally, it is particularly noteworthy that ongoing research related to utilizing GARS to dissect the age-old legal question of “determinism” vs. “free-will” is now being addressed in the legal proceedings of drug court, having precedential successful conversion of incarceration to rehabilitation.

Author Contributions

K.B. wrote the initial draft of the manuscript. M.S.B., S.C.P., J.L.C., A.G., I.E., P.K.T., M.C.G.-L., D.B., S.K., A.B., M.F., R.D.B., C.A.D., E.R.B. and M.S.G. reviewed and edited the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

S.C.P. and M.S.B. are supported by NIH-NIAAA grant (P50 AA022538). S.C.P. is also supported by NIH-NIAAA grants, UO1AA019971, RO1AA010005, and V.A. senior research career scientist award. K.B. & M.C.G.-L. are the recipients of Grant R41 MD012318/MD/NIMHD NIH HHS/United States.

Acknowledgments

The authors appreciate the expert edits of Margaret A Madigan. The inspiration to develop this article came from Richard Green (RG) of Precision Translational Medicine (division of Ivitalize Inc.).

Conflicts of Interest

Blum is the inventor of the Genetic Addiction Risk Score (GARS) and, as such, also has an equitable interest in the USA patents issued and pending and owns all the foreign patents related to issued and pending GARS. Ivitalize Inc. is the commercial partner for this technology. Blum is the inventor and patent holder of all KB220 related patents issued and pending worldwide. Through his company, Synaptamine Inc., he provided a worldwide exclusive licensee to Ivitalize Inc. Drs. Gold (Honorary), Thanos, Gondre-Lewis, Baron, Steinberg, and Bowirrat are members of The Kenneth Blum Behavioral & Neurogenetics Institute, Scientific Advisory Board. Other authors have no conflict of interest.

References

  1. Grucza, R.A.; Sher, K.J.; Kerr, W.C.; Krauss, M.J.; Lui, C.K.; McDowell, Y.E.; Hartz, S.; Virdi, G.; Bierut, L.J. Trends in Adult Alcohol Use and Binge Drinking in the Early 21st-Century United States: A Meta-Analysis of 6 National Survey Series. Alcohol. Clin. Exp. Res. 2018, 42, 1939–1950. [Google Scholar] [CrossRef] [PubMed]
  2. Blum, K.; Sheridan, P.J.; Wood, R.C.; Braverman, E.R.; Chen, T.J.; Cull, J.G.; Comings, D.E. The D2 dopamine receptor gene as a determinant of reward deficiency syndrome. J. R. Soc. Med. 1996, 89, 396–400. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Solanki, N.; Abijo, T.; Galvao, C.; Darius, P.; Blum, K.; Gondré-Lewis, M.C. Administration of a putative pro-dopamine regulator, a neuronutrient, mitigates alcohol intake in alcohol-preferring rats. Behav. Brain Res. 2020, 385, 112563. [Google Scholar] [CrossRef] [PubMed]
  4. Blum, K.; Bowirrat, A.; Braverman, E.R.; Baron, D.; Cadet, J.L.; Kazmi, S.; Elman, I.; Thanos, P.K.; Badgaiyan, R.D.; Downs, W.B.; et al. Reward Deficiency Syndrome (RDS): A Cytoarchitectural Common Neurobiological Trait of All Addictions. Int. J. Environ. Res. Public Health 2021, 18, 11529. [Google Scholar] [CrossRef]
  5. Geller, I. Ethanol Preference in the Rat as a Function of Photoperiod. Science 1971, 173, 456–459. [Google Scholar] [CrossRef] [PubMed]
  6. Blum, K.; Merritt, J.H.; Reiter, R.J.; Wallace, J.E. A possible relationship between the pineal gland and ethanol preference in the rat. Curr. Ther. Res. 1973, 15, 25–30. [Google Scholar]
  7. Reiter, R.J.; Blum, K.; Wallace, J.E.; Merritt, J.H. Effect of the Pineal Gland on Alcohol Consumption by Congenitally Blind Male Rats. Q. J. Stud. Alcohol 1973, 34, 937–939. [Google Scholar] [CrossRef]
  8. Reiter, R.; Blum, K.; Wallace, J.; Merritt, J. Pineal gland: Evidence for an influence on ethanol preference in male syrian hamsters. Comp. Biochem. Physiol. Part A Physiol. 1974, 47, 11–16. [Google Scholar] [CrossRef]
  9. Koob, G.F.; Volkow, N.D. Neurocircuitry of Addiction. Neuropsychopharmacology 2010, 35, 217–238, Erratum in Neuropsychopharmacology 2010, 35, 1051. [Google Scholar] [CrossRef] [Green Version]
  10. Waszkiewicz, N.; Galińska-Skok, B.; Nestsiarovich, A.; Kułak-Bejda, A.; Wilczyńska, K.; Simonienko, K.; Kwiatkowski, M.; Konarzewska, B. Neurobiological Effects of Binge Drinking Help in Its Detection and Differential Diagnosis from Alcohol Dependence. Dis. Markers 2018, 2018, 5623683. [Google Scholar] [CrossRef] [Green Version]
  11. Blum, K.; Gondré-Lewis, M.C.; Modestino, E.J.; Lott, L.; Baron, D.; Siwicki, D.; McLaughlin, T.; Howeedy, A.; Krengel, M.H.; Oscar-Berman, M.; et al. Understanding the Scientific Basis of Post-traumatic Stress Disorder (PTSD): Precision Behavioral Management Overrides Stigmatization. Mol. Neurobiol. 2019, 56, 7836–7850. [Google Scholar] [CrossRef] [PubMed]
  12. Palm, S.; Momeni, S.; Lundberg, S.; Nylander, I.; Roman, E. Risk-assessment and risk-taking behavior predict potassium- and amphetamine-induced dopamine response in the dorsal striatum of rats. Front. Behav. Neurosci. 2014, 8, 236. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Piantadosi, P.T.; Halladay, L.R.; Radke, A.K.; Holmes, A. Advances in understanding meso-cortico-limbic-striatal systems mediating risky reward seeking. J. Neurochem. 2021, 157, 1547–1571. [Google Scholar] [CrossRef] [PubMed]
  14. Gondré-Lewis, M.C.; Bassey, R.; Blum, K. Pre-clinical models of reward deficiency syndrome: A behavioral octopus. Neurosci. Biobehav. Rev. 2020, 115, 164–188. [Google Scholar] [CrossRef] [PubMed]
  15. Blum, K.; Gondré-Lewis, M.C.; Baron, D.; Thanos, P.K.; Braverman, E.R.; Neary, J.; Elman, I.; Badgaiyan, R.D. Introducing Precision Addiction Management of Reward Deficiency Syndrome, the Construct That Underpins All Addictive Behaviors. Front. Psychiatry 2018, 9, 548. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Philippart, F.; Khaliq, Z.M. Gi/o protein-coupled receptors in dopamine neurons inhibit the sodium leak channel NALCN. eLife 2018, 7, e40984. [Google Scholar] [CrossRef]
  17. Goldman, D.E. Potential, impedance, and rectification in membranes. J. Gen. Physiol. 1943, 27, 37–60. [Google Scholar] [CrossRef] [Green Version]
  18. Hodgkin, A.L.; Katz, B. The effect of sodium ions on the electrical activity of the giant axon of the squid. J. Physiol. 1949, 108, 37–77. [Google Scholar] [CrossRef]
  19. Siegelbaum, S.A.; Camardo, J.S.; Kandel, E.R. Serotonin and cyclic AMP close single K+ channels in Aplysia sensory neurones. Nature 1982, 299, 413–417. [Google Scholar] [CrossRef]
  20. Shen, K.Z.; North, R.A.; Surprenant, A. Potassium channels opened by noradrenaline and other transmitters in excised membrane patches of guinea-pig submucosal neurons. J. Physiol. 1990, 22, 173–187. [Google Scholar] [CrossRef]
  21. Buckler, K.J. A novel oxygen-sensitive potassium current in rat carotid body type I cells. J. Physiol. 1997, 498, 649–662. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Wagner, P.G.; Dekin, M.S. cAMP modulates an S-type K+ channel coupled to GABAB receptors in mammalian respiratory neurons. Neuroreport 1997, 8, 1667–1670. [Google Scholar] [CrossRef] [PubMed]
  23. Ketchum, K.A.; Joiner, W.J.; Sellers, A.J.; Kaczmarek, L.K.; Goldstein, S.A.N. A new family of outwardly rectifying potassium channel proteins with two pore domains in tandem. Nature 1995, 376, 690–695. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Goldstein, S.A.N.; Price, L.A.; Rosenthal, D.N.; Pausch, M.H. ORK1, a potassium-selective leak channel with two pore domains cloned from Drosophila melanogaster by expression in Saccharomyces cerevisiae. Proc. Natl. Acad. Sci. USA 1996, 93, 13256–13261. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Rajan, S.; Wischmeyer, E.; Karschin, C.; Preisig-Müller, R.; Grzeschik, K.-H.; Daut, J.; Karschin, A.; Derst, C. THIK-1 and THIK-2, a Novel Subfamily of Tandem Pore Domain K+ Channels. J. Biol. Chem. 2001, 276, 7302–7311. [Google Scholar] [CrossRef] [Green Version]
  26. You, C.; Savarese, A.; Vandegrift, B.J.; He, D.; Pandey, S.C.; Lasek, A.W.; Brodie, M.S. Ethanol acts on KCNK13 potassium channels in the ventral tegmental area to increase firing rate and modulate binge–like drinking. Neuropharmacology 2018, 144, 29–36. [Google Scholar] [CrossRef]
  27. You, C.; Vandegrift, B.J.; Brodie, M.S. KCNK13 potassium channels in the ventral tegmental area of rats are important for excitation of VTA neurons by ethanol. Alcohol. Clin. Exp. Res. 2021, 45, 1348–1358. [Google Scholar] [CrossRef]
  28. Moran, M.; Blum, K.; Ponce, J.V.; Lott, L.; Gondré–Lewis, M.C.; Badgaiyan, S.; Brewer, R.; Downs, B.W.; Fynman, P.; Weingarten, A.; et al. High Genetic Addiction Risk Score (GARS) in Chronically Prescribed Severe Chronic Opioid Probands Attending Multi-pain Clinics: An Open Clinical Pilot Trial. Mol. Neurobiol. 2021, 58, 3335–3346. [Google Scholar] [CrossRef]
  29. Dreher, J.-C.; Kohn, P.; Kolachana, B.; Weinberger, D.R.; Berman, K.F. Variation in dopamine genes influences responsivity of the human reward system. Proc. Natl. Acad. Sci. USA 2009, 106, 617–622. [Google Scholar] [CrossRef] [Green Version]
  30. Wise, R.A.; Robble, M.A. Dopamine and Addiction. Annu. Rev. Psychol. 2020, 71, 79–106. [Google Scholar] [CrossRef]
  31. Stollstorff, M.; Foss-Feig, J.; Cook, E.H., Jr.; Stein, M.A.; Gaillard, W.D.; Vaidya, C.J. Neural response to working memory load varies by dopamine transporter genotype in children. NeuroImage 2010, 53, 970–977. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Wang, T.-Y.; Lee, S.-Y.; Chen, S.L.; Chang, Y.-H.; Chen, S.-H.; Chu, C.-H.; Huang, S.-Y.; Tzeng, N.-S.; Wang, C.-L.; Yeh, P.-H.; et al. The ADH1B and DRD2 gene polymorphism may modify the protective effect of the ALDH2 gene against heroin dependence. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 2013, 43, 134–139. [Google Scholar] [CrossRef] [PubMed]
  33. Wang, Y.-S.; Lee, S.-Y.; Chen, S.-L.; Chang, Y.-H.; Wang, T.-Y.; Lin, S.-H.; Wang, C.-L.; Huang, S.-Y.; Lee, I.; Chen, P.; et al. Role of DRD2 and ALDH2 genes in bipolar II disorder with and without comorbid anxiety disorder. Eur. Psychiatry 2014, 29, 142–148. [Google Scholar] [CrossRef] [PubMed]
  34. Worbe, Y.; Palminteri, S.; Savulich, G.; Daw, N.D.; Fernandezegea, E.; Robbins, T.; Voon, V. Valence-dependent influence of serotonin depletion on model-based choice strategy. Mol. Psychiatry 2015, 21, 624–629. [Google Scholar] [CrossRef] [Green Version]
  35. Chen, Y.-C.; Peng, G.-S.; Wang, M.-F.; Tsao, T.-P.; Yin, S.-J. Polymorphism of ethanol-metabolism genes and alcoholism: Correlation of allelic variations with the pharmacokinetic and pharmacodynamic consequences. Chem. Interact. 2009, 178, 2–7. [Google Scholar] [CrossRef]
  36. Thompson, M.D.; Kenna, G.A. Variation in the Serotonin Transporter Gene and Alcoholism: Risk and Response to Pharmacotherapy. Alcohol Alcohol. 2016, 51, 164–171. [Google Scholar] [CrossRef] [Green Version]
  37. Uhl, G.R.; Koob, G.F.; Cable, J. The neurobiology of addiction. Ann. N. Y. Acad. Sci. 2019, 1451, 5–28. [Google Scholar] [CrossRef]
  38. Ursini, G.; Punzi, G.; Chen, Q.; Marenco, S.; Robinson, J.F.; Porcelli, A.; Hamilton, E.G.; Mitjans, M.; Maddalena, G.; Begemann, M.; et al. Convergence of placenta biology and genetic risk for schizophrenia. Nat. Med. 2018, 24, 792–801. [Google Scholar] [CrossRef]
  39. Stern, D.L. The genetic causes of convergent evolution. Nat. Rev. Genet. 2013, 14, 751–764. [Google Scholar] [CrossRef]
  40. Deracinois, B.; Duban-Deweer, S.; Pottiez, G.; Cecchelli, R.; Karamanos, Y.; Flahaut, C. TNAP and EHD1 Are Over-Expressed in Bovine Brain Capillary Endothelial Cells after the Re-Induction of Blood-Brain Barrier Properties. PLoS ONE 2012, 7, e48428. [Google Scholar] [CrossRef] [Green Version]
  41. Easton, A.C.; Rotter, A.; Lourdusamy, A.; Desrivières, S.; Fernández-Medarde, A.; Biermann, T.; Fernandes, C.; Santos, E.; Kornhuber, J.; Schumann, G.; et al. Rasgrf2 controls dopaminergic adaptations to alcohol in mice. Brain Res. Bull. 2014, 109, 143–150. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Easton, A.C.; Rotter, A.; Lourdusamy, A.; Desrivières, S.; Fernández-Medarde, A.; Biermann, T.; Fernandes, C.; Santos, E.; Kornhuber, J.; Schumann, G.; et al. Rasgrf2 controls noradrenergic involvement in the acute and subchronic effects of alcohol in the brain. Psychopharmacology 2014, 231, 4199–4209. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. McCall, N.M.; De Velasco, E.M.F.; Wickman, K. GIRK Channel Activity in Dopamine Neurons of the Ventral Tegmental Area Bidirectionally Regulates Behavioral Sensitivity to Cocaine. J. Neurosci. 2019, 39, 3600–3610. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Kobayashi, T.; Ikeda, K.; Kojima, H.; Niki, H.; Yano, R.; Yoshioka, T.; Kumanishi, T. Ethanol opens G-protein-activated inwardly rectifying K+ channels. Nat. Neurosci. 1999, 2, 1091–1097. [Google Scholar] [CrossRef] [PubMed]
  45. Lewohl, J.M.; Wilson, W.R.; Mayfield, R.D.; Brozowski, S.J.; Morrisett, R.A.; Harris, R.A. G-protein-coupled inwardly rectifying potassium channels are targets of alcohol action. Nat. Neurosci. 1999, 2, 1084–1090. [Google Scholar] [CrossRef] [PubMed]
  46. Herman, M.A.; Sidhu, H.; Stouffer, D.G.; Kreifeldt, M.; Le, D.; Cates-Gatto, C.; Munoz, M.B.; Roberts, A.J.; Parsons, L.H.; Roberto, M.; et al. GIRK3 gates activation of the mesolimbic dopaminergic pathway by ethanol. Proc. Natl. Acad. Sci. USA 2015, 112, 7091–7096. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Chen, C.; Meng, Q.; Xia, Y.; Ding, C.; Wang, L.; Dai, R.; Cheng, L.; Gunaratne, P.; Gibbs, R.A.; Min, S.; et al. The transcription factor POU3F2 regulates a gene coexpression network in brain tissue from patients with psychiatric disorders. Sci. Transl. Med. 2018, 10, eaat8178. [Google Scholar] [CrossRef] [Green Version]
  48. Appel, S.B.; Liu, Z.; McElvain, M.A.; Brodie, M.S. Ethanol Excitation of Dopaminergic Ventral Tegmental Area Neurons Is Blocked by Quinidine. J. Pharmacol. Exp. Ther. 2003, 306, 437–446. [Google Scholar] [CrossRef] [Green Version]
  49. Nimitvilai, S.; You, C.; Arora, D.; McElvain, M.A.; Vandegrift, B.; Brodie, M.; Woodward, J.J. Differential Effects of Toluene and Ethanol on Dopaminergic Neurons of the Ventral Tegmental Area. Front. Neurosci. 2016, 10, 434. [Google Scholar] [CrossRef] [Green Version]
  50. Okamoto, T.; Harnett, M.T.; Morikawa, H. Hyperpolarization-Activated Cation Current (Ih) Is an Ethanol Target in Midbrain Dopamine Neurons of Mice. J. Neurophysiol. 2006, 95, 619–626. [Google Scholar] [CrossRef] [Green Version]
  51. Rivera-Meza, M.; Quintanilla, M.E.; Bustamante, D.; Delgado, R.; Buscaglia, M.; Herrera-Marschitz, M. Overexpression of Hyperpolarization-Activated Cyclic Nucleotide-Gated Channels into the Ventral Tegmental Area Increases the Rewarding Effects of Ethanol in UChB Drinking Rats. Alcohol. Clin. Exp. Res. 2014, 38, 911–920. [Google Scholar] [CrossRef] [PubMed]
  52. Goldstein, S.A.N.; Bockenhauer, D.; O’Kelly, I.; Zilberberg, N. Potassium leak channels and the KCNK family of two-p-domain subunits. Nat. Rev. Neurosci. 2001, 2, 175–184. [Google Scholar] [CrossRef] [PubMed]
  53. Siciliano, C.A.; Karkhanis, A.N.; Holleran, K.M.; Melchior, J.R.; Jones, S.R. Cross-Species Alterations in Synaptic Dopamine Regulation After Chronic Alcohol Exposure. Handb. Exp. Pharmacol. 2018, 248, 213–238. [Google Scholar] [CrossRef] [PubMed]
  54. Blum, K.; Febo, M.; Badgaiyan, R.D.; Baron, D.; Thanos, P.K.; Colon-Perez, L.M.; Demotrovics, Z.; Gold, M.S. Dopamine homeostasis brain functional connectivity in reward deficiency syndrome. Front. Biosci. 2017, 22, 669–691. [Google Scholar] [CrossRef] [Green Version]
  55. Elman, I.; Borsook, D. Common Brain Mechanisms of Chronic Pain and Addiction. Neuron 2016, 89, 11–36. [Google Scholar] [CrossRef] [Green Version]
  56. Stacey, D.; Lourdusamy, A.; Ruggeri, B.; Maroteaux, M.; Jia, T.; Cattrell, A.; Nymberg, C.; Banaschewski, T.; Bhattacharyya, S.; Band, H.; et al. A translational systems biology approach in both animals and humans identifies a functionally related module of accumbal genes involved in the regulation of reward processing and binge drinking in males. J. Psychiatry Neurosci. 2016, 41, 192–202. [Google Scholar] [CrossRef] [Green Version]
  57. Blum, K.; Noble, E.P.; Sheridan, P.J.; Montgomery, A.; Ritchie, T.; Jagadeeswaran, P.; Nogami, H.; Briggs, A.H.; Cohn, J.B. Allelic as-sociation of human dopamine D2 receptor gene in alcoholism. JAMA 1990, 263, 2055–2060. [Google Scholar] [CrossRef]
  58. Robinson, M.J.; Burghardt, P.R.; Patterson, C.M.; Nobile, C.W.; Akil, H.; Watson, S.J.; Berridge, K.C.; Ferrario, C.R. Individual Differences in Cue-Induced Motivation and Striatal Systems in Rats Susceptible to Diet-Induced Obesity. Neuropsychopharmacology 2015, 40, 2113–2123. [Google Scholar] [CrossRef] [Green Version]
  59. Tian, X.; Gotoh, T.; Tsuji, K.; Lo, E.H.; Huang, S.; Feig, L.A. Developmentally regulated role for Ras-GRFs in coupling NMDA glutamate receptors to Ras, Erk and CREB. EMBO J. 2004, 23, 1567–1575. [Google Scholar] [CrossRef] [Green Version]
  60. Fasano, S.; D’Antoni, A.; Orban, P.C.; Valjent, E.; Putignano, E.; Vara, H.; Pizzorusso, T.; Giustetto, M.; Yoon, B.; Soloway, P.; et al. Ras-Guanine Nucleotide-Releasing Factor 1 (Ras-GRF1) Controls Activation of Extracellular Signal-Regulated Kinase (ERK) Signaling in the Striatum and Long-Term Behavioral Responses to Cocaine. Biol. Psychiatry 2009, 66, 758–768. [Google Scholar] [CrossRef] [Green Version]
  61. Girault, J.-A.; Valjent, E.; Caboche, J.; Hervé, D. ERK2: A logical AND gate critical for drug-induced plasticity? Curr. Opin. Pharmacol. 2007, 7, 77–85. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Baik, I.; Cho, N.H.; Kim, S.H.; Han, B.-G.; Shin, C. Genome-wide association studies identify genetic loci related to alcohol consumption in Korean men. Am. J. Clin. Nutr. 2011, 93, 809–816. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Heath, A.C.; Whitfield, J.B.; Martin, N.G.; Pergadia, M.L.; Goate, A.M.; Lind, P.A.; McEvoy, B.P.; Schrage, A.J.; Grant, J.D.; Chou, Y.-L.; et al. A Quantitative-Trait Genome-Wide Association Study of Alcoholism Risk in the Community: Findings and Implications. Biol. Psychiatry 2011, 70, 513–518. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Schumann, G.; Coin, L.J.; Lourdusamy, A.; Charoen, P.; Berger, K.H.; Stacey, D.; Desrivières, S.; Aliev, F.A.; Khan, A.A.; Amin, N.; et al. Genome-wide association and genetic functional studies identify autism susceptibility candidate 2 gene (AUTS2) in the regulation of alcohol consumption. Proc. Natl. Acad. Sci. USA 2011, 108, 7119–7124. [Google Scholar] [CrossRef] [Green Version]
  65. Stacey, D.; Bilbao, A.; Maroteaux, M.; Jia, T.; Easton, A.C.; Longueville, S.; Nymberg, C.; Banaschewski, T.; Barker, G.J.; Büchel, C.; et al. RASGRF2 regulates alcohol-induced reinforcement by influencing mesolimbic dopamine neuron activity and dopamine release. Proc. Natl. Acad. Sci. USA 2012, 109, 21128–21133. [Google Scholar] [CrossRef] [Green Version]
  66. Fasano, S.; Brambilla, R. Ras?ERK Signaling in Behavior: Old Questions and New Perspectives. Front. Behav. Neurosci. 2011, 5, 79. [Google Scholar] [CrossRef] [Green Version]
  67. Pandey, S.C.; Sakharkar, A.J.; Tang, L.; Zhang, H. Potential role of the adolescent alcohol exposure-induced amygdaloid his-tone modifications in anxiety and alcohol intake at adulthood. Neurobiol. Dis. 2015, 82, 607–619. [Google Scholar] [CrossRef] [Green Version]
  68. Zhang, H.; Kyzar, E.J.; Bohnsack, J.P.; Kokare, D.M.; Teppen, T.; Pandey, S.C. Adolescent alcohol exposure epigenetically regulates CREB signaling in the adult amygdala. Sci. Rep. 2018, 8, 10376. [Google Scholar] [CrossRef]
  69. Haass-Koffler, C.L.; Swift, R.M.; Leggio, L. Noradrenergic targets for the treatment of alcohol use disorder. Psychopharmacology 2018, 235, 1625–1634. [Google Scholar] [CrossRef]
  70. Giovannitti, J.A.; Thoms, S.M.; Crawford, J.J. Alpha-2 Adrenergic Receptor Agonists: A Review of Current Clinical Applications. Anesthesia Prog. 2015, 62, 31–38. [Google Scholar] [CrossRef] [Green Version]
  71. Elman, I.; Borsook, D. The failing cascade: Comorbid post traumatic stress- and opioid use disorders. Neurosci. Biobehav. Rev. 2019, 103, 374–383. [Google Scholar] [CrossRef] [PubMed]
  72. Excessive Drinking is Draining the, U.S. Economy. 2020. Available online: https://www.cdc.gov/alcohol/features/excessive-drinking.html (accessed on 11 March 2022).
  73. Zhao, G.; Wu, C.; Houston, R.J.; Creager, W. The Effects of Binge Drinking and Socio-Economic Status on Sober Driving Behavior. Traffic Inj. Prev. 2010, 11, 342–352. [Google Scholar] [CrossRef] [PubMed]
  74. Flowers, N.T.; Naimi, T.S.; Brewer, R.D.; Elder, R.W.; Shults, R.A.; Jiles, R. Patterns of Alcohol Consumption and Alcohol-Impaired Driving in the United States. Alcohol. Clin. Exp. Res. 2008, 32, 639–644. [Google Scholar] [CrossRef] [PubMed]
  75. Naimi, T.S.; Nelson, D.E.; Brewer, R.D. Driving After Binge Drinking. Am. J. Prev. Med. 2009, 37, 314–320. [Google Scholar] [CrossRef] [Green Version]
  76. Park, J.-Y.; Wu, L.-T. Trends and correlates of driving under the influence of alcohol among different types of adult substance users in the United States: A national survey study. BMC Public Health 2019, 19, 509–511. [Google Scholar] [CrossRef]
  77. Utter, G.H.; Young, J.B.; Theard, L.A.; Cropp, D.M.; Mohar, C.J.; Eisenberg, D.; Schermer, C.R.; Owens, L.J. The effect on problematic drinking behavior of a brief motivational interview shortly after a first arrest for driving under the influence of alcohol: A randomized trial. J. Trauma Acute Care Surg. 2014, 76, 661–671. [Google Scholar] [CrossRef]
  78. Nochajski, T.H.; Stasiewicz, P.R. Relapse to driving under the influence (DUI): A review. Clin. Psychol. Rev. 2006, 26, 179–195. [Google Scholar] [CrossRef]
  79. Shaffer, H.J.; Nelson, S.E.; LaPlante, D.A.; LaBrie, R.A.; Albanese, M.; Caro, G. The epidemiology of psychiatric disorders among repeat DUI offenders accepting a treatment-sentencing option. J. Consult. Clin. Psychol. 2007, 75, 795–804. [Google Scholar] [CrossRef] [Green Version]
  80. Febo, M.; Blum, K.; Badgaiyan, R.D.; Perez, P.D.; Colon-Perez, L.; Thanos, P.K.; Ferris, C.F.; Kulkarni, P.; Giordano, J.; Baron, D.; et al. Enhanced functional connectivity and volume between cognitive and reward centers of naïve rodent brain produced by pro-dopaminergic agent KB220Z. PLoS ONE 2017, 12, e0174774. [Google Scholar] [CrossRef] [Green Version]
  81. Szücs, A.; Berton, F.; Sanna, P.P.; Francesconi, W. Excitability of jcBNST Neurons Is Reduced in Alcohol-Dependent Animals during Protracted Alcohol Withdrawal. PLoS ONE 2012, 7, e42313. [Google Scholar] [CrossRef] [Green Version]
  82. Brown, R.J.; Blum, K.; Trachtenberg, M.C. Neurodynamics of Relapse Prevention: A Neuronutrient Approach to Outpatient DUI Offenders. J. Psychoact. Drugs 1990, 22, 173–187. [Google Scholar] [CrossRef] [PubMed]
  83. Blum, K.; Chen, A.L.; Chen, T.J.; Braverman, E.R.; Reinking, J.; Blum, S.H.; Cassel, K.; Downs, B.W.; Waite, R.L.; Williams, L.; et al. Activation instead of blocking mesolimbic dopaminergic reward circuitry is a preferred modality in the long term treatment of reward deficiency syndrome (RDS): A commentary. Theor. Biol. Med Model. 2008, 5, 24. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Borsook, D.; Linnman, C.; Faria, V.; Strassman, A.; Becerra, L.; Elman, I. Reward deficiency and anti-reward in pain chronification. Neurosci. Biobehav. Rev. 2016, 68, 282–297. [Google Scholar] [CrossRef] [PubMed]
  85. Elman, I.; Borsook, D.; Volkow, N.D. Pain and suicidality: Insights from reward and addiction neuroscience. Prog. Neurobiol. 2013, 109, 1–27. [Google Scholar] [CrossRef] [Green Version]
  86. Blum, K.; Berman, M.O.; Badgaiyan, R.D.; Braverman, E.R.; Gold, M.S. Hypothesizing Darkness Induced Alcohol Intake Linked to Dopaminergic Regulation of Brain Function. Psychology 2014, 05, 282–288. [Google Scholar] [CrossRef] [Green Version]
  87. Blum, K.; Oscar-Berman, M.; Demetrovics, Z.; Barh, D.; Gold, M.S. Genetic Addiction Risk Score (GARS): Molecular Neurogenetic Evidence for Predisposition to Reward Deficiency Syndrome (RDS). Mol. Neurobiol. 2014, 50, 765–796. [Google Scholar] [CrossRef] [Green Version]
  88. Kenneth, B.; Edward, M.J.; Marjorie, G.L.C.; David, B.; Bruce, S.; Panayotis, T.K.; William, D.B.; Davis, S.; Lisa, L.; Eric, B.R.; et al. Pro-Dopamine Regulator (KB220) A Fifty Year Sojourn to Combat Reward Deficiency Syndrome (RDS): Evidence Based Bibliography (Annotated). CPQ Neurol. Psychol. 2018, 1, 2. [Google Scholar]
  89. Blum, K.; Chen, A.L.; Thanos, P.K.; Febo, M.; Demetrovics, Z.; Dushaj, K.; Kovoor, A.; Baron, D.; Smith, D.E.; Lll, A.K.R.; et al. Genetic addiction risk score GARS trade a predictor of vulnerability to opioid dependence. Front. Biosci. 2018, 10, 175–196. [Google Scholar] [CrossRef] [Green Version]
  90. Blum, K.; Lott, L.; Siwicki, D.; Fried, L.; Hauser, M.; Simpatico, T.; Baron, D.; Howeedy, A.; Badgaiyan, R.D. Genetic Addiction Risk Score (GARS™) as a Predictor of Substance Use Disorder: Iden-tifying predisposition not diagnosis. Curr. Trends Med. Diagn Methods 2018, 1, 1. [Google Scholar] [CrossRef]
  91. Blum, K.; Modestino, E.J.; Lott, L.; Siwicki, D.; Baron, D.; Howeedy, A.; Badgaiyan, R.D. Introducing “Precision Addiction Management (PAM®)” as an Adjunctive Genetic Guided Therapy for Abusable Drugs in America. Open Access J. Behav. Sci. Psychol. 2018, 1, 1–4. [Google Scholar]
  92. Blum, K. Promoting Precision Addiction Management (PAM) to Combat the Global Opioid Crisis. Biomed. J. Sci. Tech. Res. 2018, 2, 1–4. [Google Scholar] [CrossRef] [PubMed]
  93. Baron, D.; Blum, K.; Chen, A.; Gold, M.; Badgaiyan, R.D. Conceptualizing Addiction from an Osteopathic Perspective: Dopamine Homeostasis. J. Osteopat. Med. 2018, 118, 115–118. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Abijo, T.; Blum, K.; Gondré-Lewis, M.C. Neuropharmacological and Neurogenetic Correlates of Opioid Use Disorder (OUD) As A Function of Ethnicity: Relevance to Precision Addiction Medicine. Curr. Neuropharmacol. 2020, 18, 578–595. [Google Scholar] [CrossRef] [PubMed]
  95. Madigan, M.A.; Badgaiyan, R.D.; Baron, D.; Blum, K. Precision Behavioral Management (PBM) A Novel Approach to Combat Post-Traumatic Stress Disorder (PTSD). SOJ Psychol. 2018, 5, 2. [Google Scholar]
  96. Fried, L.; Modestino, E.J.; Siwicki, D.; Lott, L.; Thanos, P.K.; Baron, D.; Badgaiyan, R.D.; Ponce, J.V.; Giordano, J.; Downs, W.B.; et al. Hypodopaminergia and “Precision Behavioral Management” (PBM): It is a Generational Family Affair. Curr. Pharm. Biotechnol. 2020, 21, 528–541. [Google Scholar] [CrossRef]
  97. Bau, C.H.; Almeida, S.; Hutz, M.H. The TaqI A1 allele of the dopamine D2 receptor gene and alcoholism in Brazil: Association and interaction with stress and harm avoidance on severity prediction. Am. J. Med. Genet. 2000, 96, 302–306. [Google Scholar] [CrossRef]
  98. Failure of Prison Rehabilitation (from Critical Issues in Criminal Justice, 1979, by R G Iacovetta and Dae H Chang—See NCJ-63717). Available online: https://www.ojp.gov/ncjrs/virtual-library/abstracts/failure-prison-rehabilitation-critical-issues-criminal-justice-1979 (accessed on 11 March 2022).
  99. Bohnsack, J.P.; Zhang, H.; Wandling, G.M.; He, D.; Kyzar, E.J.; Lasek, A.W.; Pandey, S.C. Targeted epigenomic editing ameliorates adult anxiety and excessive drinking after adolescent alcohol exposure. Sci. Adv. 2022, 8, eabn2748. [Google Scholar] [CrossRef]
Figure 1. A schematic showing the steady state of VTA neurons (A) and how acute administration of ethanol stimulates VTA neurons by inhibiting KCNK13 (B); this molecule can modulate both VTA neuronal activity and binge drinking. KCNK13 is expressed in dopamine and non-dopamine neurons in the VTA. Kcnk13 gene expression is upregulated by acute alcohol consumption (Reproduced with permission from [26]).
Figure 1. A schematic showing the steady state of VTA neurons (A) and how acute administration of ethanol stimulates VTA neurons by inhibiting KCNK13 (B); this molecule can modulate both VTA neuronal activity and binge drinking. KCNK13 is expressed in dopamine and non-dopamine neurons in the VTA. Kcnk13 gene expression is upregulated by acute alcohol consumption (Reproduced with permission from [26]).
Jpm 12 01009 g001
Figure 2. Group statistical maps comparing KB22OZ (Febo et al. [80], with permission).
Figure 2. Group statistical maps comparing KB22OZ (Febo et al. [80], with permission).
Jpm 12 01009 g002
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Blum, K.; Brodie, M.S.; Pandey, S.C.; Cadet, J.L.; Gupta, A.; Elman, I.; Thanos, P.K.; Gondre-Lewis, M.C.; Baron, D.; Kazmi, S.; et al. Researching Mitigation of Alcohol Binge Drinking in Polydrug Abuse: KCNK13 and RASGRF2 Gene(s) Risk Polymorphisms Coupled with Genetic Addiction Risk Severity (GARS) Guiding Precision Pro-Dopamine Regulation. J. Pers. Med. 2022, 12, 1009. https://doi.org/10.3390/jpm12061009

AMA Style

Blum K, Brodie MS, Pandey SC, Cadet JL, Gupta A, Elman I, Thanos PK, Gondre-Lewis MC, Baron D, Kazmi S, et al. Researching Mitigation of Alcohol Binge Drinking in Polydrug Abuse: KCNK13 and RASGRF2 Gene(s) Risk Polymorphisms Coupled with Genetic Addiction Risk Severity (GARS) Guiding Precision Pro-Dopamine Regulation. Journal of Personalized Medicine. 2022; 12(6):1009. https://doi.org/10.3390/jpm12061009

Chicago/Turabian Style

Blum, Kenneth, Mark S. Brodie, Subhash C. Pandey, Jean Lud Cadet, Ashim Gupta, Igor Elman, Panayotis K. Thanos, Marjorie C. Gondre-Lewis, David Baron, Shan Kazmi, and et al. 2022. "Researching Mitigation of Alcohol Binge Drinking in Polydrug Abuse: KCNK13 and RASGRF2 Gene(s) Risk Polymorphisms Coupled with Genetic Addiction Risk Severity (GARS) Guiding Precision Pro-Dopamine Regulation" Journal of Personalized Medicine 12, no. 6: 1009. https://doi.org/10.3390/jpm12061009

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop