1
|
Deng WQ, Belisario K, Gray JC, Levitt EE, MacKillop J. A high-resolution PheWAS approach to alcohol-related polygenic risk scores reveals mechanistic influences of alcohol reinforcing value and drinking motives. Alcohol Alcohol 2024; 59:agad093. [PMID: 38261344 DOI: 10.1093/alcalc/agad093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 11/08/2023] [Accepted: 12/16/2023] [Indexed: 01/24/2024] Open
Abstract
AIMS This study uses a high-resolution phenome-wide approach to evaluate the motivational mechanisms of polygenic risk scores (PRSs) that have been robustly associated with coarse alcohol phenotypes in large-scale studies. METHODS In a community-based sample of 1534 Europeans, we examined genome-wide PRSs for the Alcohol Use Disorders Identification Test (AUDIT), drinks per week, alcohol use disorder (AUD), problematic alcohol use (PAU), and general addiction, in relation to 42 curated phenotypes. The curated phenotypes were in seven categories: alcohol consumption, alcohol reinforcing value, drinking motives, other addictive behaviors, commonly comorbid psychiatric syndromes, impulsivity, and personality traits. RESULTS The PRS for each alcohol phenotype was validated via its within-sample association with the corresponding phenotype (adjusted R2s = 0.35-1.68%, Ps = 0.012-3.6 × 10-7) with the exception of AUD. All PRSs were positively associated with alcohol reinforcing value and drinking motives, with the strongest effects from AUDIT-consumption (adjusted R2s = 0.45-1.33%, Ps = 0.006-3.6 × 10-5) and drinks per week PRSs (adjusted R2s = 0.52-2.28%, Ps = 0.004-6.6 × 10-9). Furthermore, the PAU and drinks per week PRSs were positively associated with adverse childhood experiences (adjusted R2s = 0.6-0.7%, Ps = 0.0001-4.8 × 10-4). CONCLUSIONS These results implicate alcohol reinforcing value and drinking motives as genetically-influenced mechanisms using PRSs for the first time. The findings also highlight the value of dissecting genetic influence on alcohol involvement through diverse phenotypic risk pathways but also the need for future studies with both phenotypic richness and larger samples.
Collapse
Affiliation(s)
- Wei Q Deng
- Peter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, Hamilton, Ontario L8N 3K7, Canada
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario L8N 3K7, Canada
| | - Kyla Belisario
- Peter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, Hamilton, Ontario L8N 3K7, Canada
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario L8N 3K7, Canada
| | - Joshua C Gray
- Department of Medical and Clinical Psychology, Uniformed Services University, Bethesda, MD 20814, United States
| | - Emily E Levitt
- Peter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, Hamilton, Ontario L8N 3K7, Canada
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario L8N 3K7, Canada
| | - James MacKillop
- Peter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, Hamilton, Ontario L8N 3K7, Canada
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario L8N 3K7, Canada
| |
Collapse
|
2
|
Merzah M, Natae S, Sándor J, Fiatal S. Single Nucleotide Variants (SNVs) of the Mesocorticolimbic System Associated with Cardiovascular Diseases and Type 2 Diabetes: A Systematic Review. Genes (Basel) 2024; 15:109. [PMID: 38254998 PMCID: PMC10815084 DOI: 10.3390/genes15010109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/11/2024] [Accepted: 01/15/2024] [Indexed: 01/24/2024] Open
Abstract
The mesocorticolimbic (MCL) system is crucial in developing risky health behaviors which lead to cardiovascular diseases (CVDs) and type 2 diabetes (T2D). Although there is some knowledge of the MCL system genes linked to CVDs and T2D, a comprehensive list is lacking, underscoring the significance of this review. This systematic review followed PRISMA guidelines and the Cochrane Handbook for Systematic Reviews of Interventions. The PubMed and Web of Science databases were searched intensively for articles related to the MCL system, single nucleotide variants (SNVs, formerly single nucleotide polymorphisms, SNPs), CVDs, T2D, and associated risk factors. Included studies had to involve a genotype with at least one MCL system gene (with an identified SNV) for all participants and the analysis of its link to CVDs, T2D, or associated risk factors. The quality assessment of the included studies was performed using the Q-Genie tool. The VEP and DAVID tools were used to annotate and interpret genetic variants and identify enriched pathways and gene ontology terms associated with the gene list. The review identified 77 articles that met the inclusion criteria. These articles provided information on 174 SNVs related to the MCL system that were linked to CVDs, T2D, or associated risk factors. The COMT gene was found to be significantly related to hypertension, dyslipidemia, insulin resistance, obesity, and drug abuse, with rs4680 being the most commonly reported variant. This systematic review found a strong association between the MCL system and the risk of developing CVDs and T2D, suggesting that identifying genetic variations related to this system could help with disease prevention and treatment strategies.
Collapse
Affiliation(s)
- Mohammed Merzah
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (M.M.)
- Doctoral School of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
| | - Shewaye Natae
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (M.M.)
- Doctoral School of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
| | - János Sándor
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (M.M.)
- ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Szilvia Fiatal
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (M.M.)
| |
Collapse
|
3
|
Zhang Y, Sun Y, Miao Q, Guo S, Wang Q, Shi T, Guo X, Liu S, Cheng G, Wang C, Zhang R. Serum metabolomics analysis in patients with alcohol dependence. Front Psychiatry 2023; 14:1151200. [PMID: 37139316 PMCID: PMC10150058 DOI: 10.3389/fpsyt.2023.1151200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 03/24/2023] [Indexed: 05/05/2023] Open
Abstract
Objective Alcohol dependence (AD) is a chronic recurrent mental disease caused by long-term drinking. It is one of the most prevalent public health problems. However, AD diagnosis lacks objective biomarkers. This study was aimed to shed some light on potential biomarkers of AD patients by investigating the serum metabolomics profiles of AD patients and the controls. Methods Liquid chromatography-mass spectrometry (LC-MS) was used to detect the serum metabolites of 29 AD patients (AD) and 28 controls. Six samples were set aside as the validation set (Control: n = 3; AD group: n = 3), and the remaining were used as the training set (Control: n = 26; AD group: n = 25). Principal component analysis (PCA) and partial least squares discriminant analysis (PCA-DA) were performed to analyze the training set samples. The metabolic pathways were analyzed using the MetPA database. The signal pathways with pathway impact >0.2, value of p <0.05, and FDR < 0.05 were selected. From the screened pathways, the metabolites whose levels changed by at least 3-fold were screened. The metabolites with no numerical overlap in their concentrations in the AD and the control groups were screened out and verified with the validation set. Results The serum metabolomic profiles of the control and the AD groups were significantly different. We identified six significantly altered metabolic signal pathways, including protein digestion and absorption; alanine, aspartate, and glutamate metabolism; arginine biosynthesis; linoleic acid metabolism; butanoate metabolism; and GABAergic synapse. In these six signal pathways, the levels of 28 metabolites were found to be significantly altered. Of these, the alterations of 11 metabolites changed by at least 3-fold compared to the control group. Of these 11 metabolites, those with no numerical overlap in their concentrations between the AD and the control groups were GABA, 4-hydroxybutanoic acid, L-glutamic acid, citric acid and L-glutamine. Conclusion The metabolite profile of the AD group was significantly different from that of the control group. GABA, 4-hydroxybutanoic acid, L-glutamic acid, citric acid, and L-glutamine could be used as potential diagnostic markers for AD.
Collapse
Affiliation(s)
- Yanjie Zhang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Yajun Sun
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Department of Scientific Research, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Qin Miao
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Department of Addiction, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Shilong Guo
- Department of Oncology, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Qi Wang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Tianyuan Shi
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Xinsheng Guo
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Shuai Liu
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Guiding Cheng
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Chuansheng Wang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
- *Correspondence: Chuansheng Wang, ; Ruiling Zhang,
| | - Ruiling Zhang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
- *Correspondence: Chuansheng Wang, ; Ruiling Zhang,
| |
Collapse
|
4
|
Cao YL, -Zhu L, Zhang H, Meng JH, Wu HJ, Wang X, Wu JH, Zou JL, Fang MS, An J, Chen YG. Total Barley Maiya Alkaloids Prevent Increased Prolactin Levels Caused by Antipsychotic Drugs and Reduce Dopamine Receptor D2 via Epigenetic Mechanisms. Front Pharmacol 2022; 13:888522. [PMID: 35865960 PMCID: PMC9294270 DOI: 10.3389/fphar.2022.888522] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 06/07/2022] [Indexed: 11/13/2022] Open
Abstract
Background: The dopamine D2 receptor (DRD2) plays an important role in the increased prolactin (PRL) levels associated with the pathogenesis of antipsychotic drugs (ADs). Elevated prolactin levels can affect people’s quality of life. Maiya alkaloids has been used to treat diseases associated with high PRL levels. Maiya, is a processed product of the mature fruits of Hordeum vulgare L. (a gramineous plant) after sprouting and drying and also a common Chinese herbal drug used in the clinic, is traditionally used to treat abnormal lactation, and is currently used clinically for the treatment of abnormal PRL levels.Aims: Epigenetic mechanisms can be related to DRD2 expression. We investigated the role of DRD2 methylation in the induction of PRL expression by ADs and the mechanism underlying the effects of total barley maiya alkaloids (TBMA) on this induction.Methods: The methylation rate of DRD2 in 46 people with schizophrenia who took risperidone was detected by MassARRAY sequencing. Humans were long term users of Ris. Seventy Sprague Dawley female rats were divided into seven groups. A rat model of risperidone-induced PRL was established, and the potential protective effects of TBMA and its components [e.g., hordenine (Hor)] on these increased PRL levels were investigated. The PRL concentration was detected by Enzyme-linked immunosorbent assay. PRL, DRD2, and DNA methyltransferase (DNMT1, DNMT3α, and DNMT3β) protein and mRNA expression were detected by western blotting and real-time polymerase chain reaction (RT-PCR), respectively. The positive rate of methylation in the DRD2 promoter region of rats was detected by MassARRAY sequencing.Results: Clinical studies showed that the positive rate of DRD2 methylation associated with increased PRL levels induced by ADs was significantly higher than in the normal prolactinemia (NPRL) group. In vivo and vitro, TBMA and Hor inhibited this induction of PRL expression and increased DRD2 expression by inhibiting the expression of the DNMTs.Conclusions: TBMA and hordenine increased DRD2 expression by inhibiting DNMT-dependent DRD2 methylation.
Collapse
Affiliation(s)
- Yu-Ling Cao
- Pharmacy Department of Wuhan University Tongren Hospital (The Third Hospital of Wuhan), Wuhan, China
- Medical College of Wuhan University of Science and Technology, Wuhan, China
| | - Li -Zhu
- Pharmacy Department of Wuhan University Tongren Hospital (The Third Hospital of Wuhan), Wuhan, China
| | - Hong Zhang
- Pharmacy Department of Wuhan University Tongren Hospital (The Third Hospital of Wuhan), Wuhan, China
- Medical College of Wuhan University of Science and Technology, Wuhan, China
| | - Jun-Hua Meng
- Pharmacy Department of Wuhan University Tongren Hospital (The Third Hospital of Wuhan), Wuhan, China
| | - Hua-Jun Wu
- Pharmacy Department of Wuhan University Tongren Hospital (The Third Hospital of Wuhan), Wuhan, China
| | - Xiong Wang
- Pharmacy Department of Wuhan University Tongren Hospital (The Third Hospital of Wuhan), Wuhan, China
| | - Jin-Hu Wu
- Pharmacy Department of Wuhan University Tongren Hospital (The Third Hospital of Wuhan), Wuhan, China
| | - Ji-Li Zou
- Pharmacy Department of Wuhan University Tongren Hospital (The Third Hospital of Wuhan), Wuhan, China
| | - Mao-Sheng Fang
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China
| | - Jing An
- Pharmacy Department of Wuhan University Tongren Hospital (The Third Hospital of Wuhan), Wuhan, China
- *Correspondence: Jing An, ; Yong-Gang Chen,
| | - Yong-Gang Chen
- Pharmacy Department of Wuhan University Tongren Hospital (The Third Hospital of Wuhan), Wuhan, China
- *Correspondence: Jing An, ; Yong-Gang Chen,
| |
Collapse
|
5
|
Czarnecki D, Ziółkowski M, Chodkiewicz J, Długosz A, Feldheim J, Waszkiewicz N, Kułak-Bejda A, Gorzkiewicz M, Budzyński J, Junkiert-Czarnecka A, Siomek-Górecka A, Nicpoń K, Kawala-Sterniuk A, Ferri R, Pelc M, Walecki P, Laskowska E, Gorzelańczyk EJ. Initial Study on COMT and DRD2 Gene Polymorphisms as Well as the Influence of Temperament and Character Trait on the Severity of Alcohol Craving in Alcohol-Dependent Patients. J Clin Med 2021; 10:jcm10245892. [PMID: 34945190 PMCID: PMC8704345 DOI: 10.3390/jcm10245892] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/07/2021] [Accepted: 12/12/2021] [Indexed: 12/31/2022] Open
Abstract
The main aim of this work was to determine the impact of COMT and DRD2 gene polymorphisms together with temperament and character traits on alcohol craving severity alcohol-dependent persons. The sample comprised of 89 men and 16 women (aged 38±7). For the sake of psychological assessment various analytic methods have been applied like the Short Alcohol Dependence Data Questionnaire (SADD), Penn Alcohol Craving Scale (PACS) or Temperament and Character Inventory (TCI) test. The SNP polymorphism of the analyzed genes was determined by Real Time PCR test. The results showed, that the COMT polymorphismmay have an indirected relationship with the intensity and changes in alcohol craving during abstinence. The DRD2 receptor gene polymorphisms are related with the intensity of alcohol craving. It seems that the character traits like “self-targeting”, including “self-acceptance”, are more closely related to the severity of alcohol craving and polymorphic changes in the DRD2 receptor than temperamental traits. Although this is a pilot study the obtained results appeared to be promising and clearly indicate the link betweengene polymorphisms alcohol craving and its severity.
Collapse
Affiliation(s)
- Damian Czarnecki
- Department of Preventive Nursing, Collegium Medicum, Nicolaus Copernicus University, Torun, ul. Ignacego Łukasiewicza 1, 85-821 Bydgoszcz, Poland; (M.Z.); (K.N.)
- Correspondence: (D.C.); (A.K.-S.)
| | - Marcin Ziółkowski
- Department of Preventive Nursing, Collegium Medicum, Nicolaus Copernicus University, Torun, ul. Ignacego Łukasiewicza 1, 85-821 Bydgoszcz, Poland; (M.Z.); (K.N.)
| | - Jan Chodkiewicz
- Institute of Psychology, Department of Clinical Psychology and Psychopathology, University of Lodz, ul. Smugowa 10/12, 91-433 Łódź, Poland;
| | - Anna Długosz
- Faculty of Chemical Technology and Engineering, University of Science and Technology, ul. Seminaryjna 3, 85-326 Bydgoszcz, Poland; (A.D.); (J.F.)
| | - Joanna Feldheim
- Faculty of Chemical Technology and Engineering, University of Science and Technology, ul. Seminaryjna 3, 85-326 Bydgoszcz, Poland; (A.D.); (J.F.)
| | - Napoleon Waszkiewicz
- Department of Psychiatry, Medical University of Białystok, pl. Brodowicza 1, 16-070 Choroszcz, Poland; (N.W.); (A.K.-B.)
| | - Agnieszka Kułak-Bejda
- Department of Psychiatry, Medical University of Białystok, pl. Brodowicza 1, 16-070 Choroszcz, Poland; (N.W.); (A.K.-B.)
| | - Marta Gorzkiewicz
- Department of Molecular Genetics and Justice, Collegium Medicum, Nicolaus Copernicus University, Torun, ul. Marii Skłodowskiej-Curie 9, 85-094 Bydgoszcz, Poland;
| | - Jacek Budzyński
- Department of Vascular and Internal Diseases, Nicolaus Copernicus University, Torun, ul. Ujejskiego 75, 85-168 Bydgoszcz, Poland;
| | - Anna Junkiert-Czarnecka
- Department of Clinical Genetics, Nicolaus Copernicus University, Torun, ul. Marii Skłodowskiej-Curie 9, 85-094 Bydgoszcz, Poland;
| | - Agnieszka Siomek-Górecka
- Department of Clinical Biochemistry, Collegium Medicum, Nicolaus Copernicus University, Torun, ul. Karłowicza 24, 85-092 Bydgoszcz, Poland;
| | - Krzysztof Nicpoń
- Department of Preventive Nursing, Collegium Medicum, Nicolaus Copernicus University, Torun, ul. Ignacego Łukasiewicza 1, 85-821 Bydgoszcz, Poland; (M.Z.); (K.N.)
| | - Aleksandra Kawala-Sterniuk
- Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, ul. Prószkowska 76, 45-758 Opole, Poland;
- Correspondence: (D.C.); (A.K.-S.)
| | - Raffaele Ferri
- Oasi Research Institute IRCCS, Via C. Ruggero, 73, 94018 Troina, Italy;
| | - Mariusz Pelc
- Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, ul. Prószkowska 76, 45-758 Opole, Poland;
- School of Computing and Mathematical Sciences, University of Greenwich, London SE10 9LS, UK
| | - Piotr Walecki
- Department of Bioinformatics and Telemedicine, Collegium Medicum, Jagiellonian University, ul. Medyczna 7, 30-688 Krakow, Poland;
| | - Ewa Laskowska
- Faculty of Medicine, Collegium Medicum, Nicolaus Copernicus University, Torun, ul. Jagiellońska 15, 85-067 Bydgoszcz, Poland;
| | - Edward Jacek Gorzelańczyk
- Department of Theoretical Basis of BioMedical Sciences and Medical Informatics, Collegium Medicum, Nicolaus Copernicus University, ul. Jagiellońska 15, 85-067 Bydgoszcz, Poland;
- Institute of Philosophy, Kazimierz Wielki University, ul. Ogińskiego 16, 85-092 Bydgoszcz, Poland
- Babinski Specialist Psychiatric Healthcare Center, Outpatient Addiction Treatment, ul. Aleksandrowska 159, 91-229 Łódź, Poland
- The Society for the Substitution Treatment of Addiction “Medically Assisted Recovery”, ul. Rzeźniackiego 1D, 85-791 Bydgoszcz, Poland
| |
Collapse
|