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Kole IH, Vural P, Yurdacan B, Alemdar A, Mutlu C. Evaluation of SLC6A2 and CYP2D6 polymorphisms' effects on atomoxetine treatment in attention deficit and hyperactivity disorder. Eur J Clin Pharmacol 2024; 80:1773-1785. [PMID: 39158690 DOI: 10.1007/s00228-024-03744-z] [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: 05/10/2024] [Accepted: 08/09/2024] [Indexed: 08/20/2024]
Abstract
BACKGROUND There is insufficient replicated data to establish a relationship between the polymorphisms of SLC6A2 and CYP2D6 and the treatment responses of atomoxetine (ATX) in ADHD. We focused on evaluating the effect of top-line single nucleotide polymorphisms (SNPs) in SLC6A2 and CYP2D6 on the ATX treatment response in attention deficit and hyperactivity disorder (ADHD). METHODS Of 160 patient records, 34 patients who met the inclusion criteria were evaluated to determine the relationship between genotypes of ten SNPs (six of SLC6A2 and four of CYP2D6) and ATX treatment response. Additionally, the connection between SNPs of CYP2D6 and the severity of side effects associated with ATX was analyzed in 37 patients, including the 34 study patients, and three patients discontinued because of ATX-dependent side effects. RESULTS All six polymorphisms we studied in SLC6A2 were associated with the treatment response of ATX. Clinical improvement in oppositional defiant disorder symptoms of patients with ADHD was only observed in carriers of the homozygous "C" allele of rs3785143 (podd = 0.026). We detected an association between higher CGI-side-effect severity scores and the "TT" genotype of rs1065852 polymorphism in CYP2D6 (p = 0.043). CONCLUSIONS The findings of this study suggest that genotypes of polymorphisms within the SLC6A2 and CYP2D6 may play an influential role in treatment response or the severity of side effects associated with ATX in ADHD patients.
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Affiliation(s)
- Ismail Hasan Kole
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Bursa Uludag University, Bursa, Türkiye.
| | - Pınar Vural
- Department of Psychology, Faculty of Humanities and Social Sciences, Fatih Sultan Mehmet Vakif University, Istanbul, Türkiye
| | - Beste Yurdacan
- Department of Medical Biology, Faculty of Medicine, Bursa Uludag University, 16059, Bursa, Türkiye
| | - Adem Alemdar
- Department of Medical Biology, Faculty of Medicine, Bursa Uludag University, 16059, Bursa, Türkiye
| | - Caner Mutlu
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Bursa Uludag University, Bursa, Türkiye.
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Cinciripini PM, Wetter DW, Wang J, Yu R, Kypriotakis G, Kumar T, Robinson JD, Cui Y, Green CE, Bergen AW, Kosten TR, Scherer SE, Shete S. Deep sequencing of candidate genes identified 14 variants associated with smoking abstinence in an ethnically diverse sample. Sci Rep 2024; 14:6385. [PMID: 38493193 PMCID: PMC10944542 DOI: 10.1038/s41598-024-56750-7] [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: 07/18/2023] [Accepted: 03/11/2024] [Indexed: 03/18/2024] Open
Abstract
Despite the large public health toll of smoking, genetic studies of smoking cessation have been limited with few discoveries of risk or protective loci. We investigated common and rare variant associations with success in quitting smoking using a cohort from 8 randomized controlled trials involving 2231 participants and a total of 10,020 common and 24,147 rare variants. We identified 14 novel markers including 6 mapping to genes previously related to psychiatric and substance use disorders, 4 of which were protective (CYP2B6 (rs1175607105), HTR3B (rs1413172952; rs1204720503), rs80210037 on chr15), and 2 of which were associated with reduced cessation (PARP15 (rs2173763), SCL18A2 (rs363222)). The others mapped to areas associated with cancer including FOXP1 (rs1288980) and ZEB1 (rs7349). Network analysis identified significant canonical pathways for the serotonin receptor signaling pathway, nicotine and bupropion metabolism, and several related to tumor suppression. Two novel markers (rs6749438; rs6718083) on chr2 are flanked by genes associated with regulation of bodyweight. The identification of novel loci in this study can provide new targets of pharmacotherapy and inform efforts to develop personalized treatments based on genetic profiles.
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Affiliation(s)
- Paul M Cinciripini
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
| | - David W Wetter
- Department of Department of Population Health Sciences, University of Utah and Huntsman Cancer Institute, Salt Lake City, Utah, 84112, USA
| | - Jian Wang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Robert Yu
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - George Kypriotakis
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
| | - Tapsi Kumar
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Jason D Robinson
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Yong Cui
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Charles E Green
- Department of Pediatrics, The University of Texas Medical School at Houston, Houston, TX, 77030, USA
| | | | - Thomas R Kosten
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Steven E Scherer
- Department of Molecular and Human Genetics, Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Sanjay Shete
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
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Liu Y, Eliot MN, Papandonatos GD, Kelsey KT, Fore R, Langevin S, Buckley J, Chen A, Lanphear BP, Cecil KM, Yolton K, Hivert MF, Sagiv SK, Baccarelli AA, Oken E, Braun JM. Gestational Perfluoroalkyl Substance Exposure and DNA Methylation at Birth and 12 Years of Age: A Longitudinal Epigenome-Wide Association Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:37005. [PMID: 35266797 PMCID: PMC8911098 DOI: 10.1289/ehp10118] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 02/21/2022] [Accepted: 02/23/2022] [Indexed: 05/31/2023]
Abstract
BACKGROUND DNA methylation alterations may underlie associations between gestational perfluoroalkyl substances (PFAS) exposure and later-life health outcomes. To the best of our knowledge, no longitudinal studies have examined the associations between gestational PFAS and DNA methylation. OBJECTIVES We examined associations of gestational PFAS exposure with longitudinal DNA methylation measures at birth and in adolescence using the Health Outcomes and Measures of the Environment (HOME) Study (2003-2006; Cincinnati, Ohio). METHODS We quantified serum concentrations of perfluorooctanoate (PFOA), perfluorooctane sulfonate (PFOS), perfluorononanoate (PFNA), and perfluorohexane sulfonate (PFHxS) in mothers during pregnancy. We measured DNA methylation in cord blood (n=266) and peripheral leukocytes at 12 years of age (n=160) using the Illumina HumanMethylation EPIC BeadChip. We analyzed associations between log2-transformed PFAS concentrations and repeated DNA methylation measures using linear regression with generalized estimating equations. We included interaction terms between children's age and gestational PFAS. We performed Gene Ontology enrichment analysis to identify molecular pathways. We used Project Viva (1999-2002; Boston, Massachusetts) to replicate significant associations. RESULTS After adjusting for covariates, 435 cytosine-guanine dinucleotide (CpG) sites were associated with PFAS (false discovery rate, q<0.05). Specifically, we identified 2 CpGs for PFOS, 12 for PFOA, 8 for PFHxS, and 413 for PFNA; none overlapped. Among these, 2 CpGs for PFOA and 4 for PFNA were replicated in Project Viva. Some of the PFAS-associated CpG sites annotated to gene regions related to cancers, cognitive health, cardiovascular disease, and kidney function. We found little evidence that the associations between PFAS and DNA methylation differed by children's age. DISCUSSION In these longitudinal data, PFAS biomarkers were associated with differences in several CpGs at birth and at 12 years of age in or near genes linked to some PFAS-associated health outcomes. Future studies should examine whether DNA methylation mediates associations between gestational PFAS exposure and health. https://doi.org/10.1289/EHP10118.
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Affiliation(s)
- Yun Liu
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Melissa N. Eliot
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
| | - George D. Papandonatos
- Department of Biostatistics, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Karl T. Kelsey
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
- Department of Laboratory Medicine and Pathology, Brown University, Providence, Rhode Island, USA
| | - Ruby Fore
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Scott Langevin
- Department of Environmental & Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Jessie Buckley
- Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Bruce P. Lanphear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Kim M. Cecil
- Department of Environmental & Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Kimberly Yolton
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sharon K. Sagiv
- Department of Epidemiology, Berkeley School of Public Health, University of California, Berkeley, California, USA
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Emily Oken
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Joseph M. Braun
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
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