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Kwiatkowski MA, Cope ZA, Lavadia ML, van de Cappelle CJA, Dulcis D, Young JW. Short-active photoperiod gestation induces psychiatry-relevant behavior in healthy mice but a resiliency to such effects are seen in mice with reduced dopamine transporter expression. Sci Rep 2020; 10:10217. [PMID: 32576854 PMCID: PMC7311429 DOI: 10.1038/s41598-020-66873-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 05/13/2020] [Indexed: 01/02/2023] Open
Abstract
A higher incidence of multiple psychiatric disorders occurs in people born in late winter/early spring. Reduced light exposure/activity level impacts adult rodent behavior and neural mechanisms, yet few studies have investigated such light exposure on gestating fetuses. A dysfunctional dopamine system is implicated in most psychiatric disorders, and genetic polymorphisms reducing expression of the dopamine transporter (DAT) are associated with some conditions. Furthermore, adult mice with reduced DAT expression (DAT-HT) were hypersensitive to short active (SA; 19:5 L:D) photoperiod exposure versus their wildtype (WT) littermates. Effects of SA photoperiod exposure during gestation in these mice have not been examined. We confirmed adult females exhibit a heightened corticosterone response when in SA photoperiod. We then tested DAT-HT mice and WT littermates in psychiatry-relevant behavioral tests after SA or normal active (NA; 12:12 L:D) photoperiod exposure during gestation and early life. SA-born WT mice exhibited sensorimotor gating deficits (males), increased reward preference, less immobility, open arm avoidance (females), less motivation to obtain a reward, and reversal learning deficits, vs. NA-born WT mice. DAT-HT mice were largely resilient to these effects, however. Future studies will determine the mechanism(s) by which SA photoperiod exposure influences brain development to predispose toward emergence of psychiatry-relevant behaviors.
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Affiliation(s)
- Molly A Kwiatkowski
- Department of Psychiatry, University of California, San Diego, San Diego, USA
| | - Zackary A Cope
- Department of Medicine, Aging Institute, University of Pittsburgh, Pittsburgh, USA
| | - Maria L Lavadia
- Department of Psychiatry, University of California, San Diego, San Diego, USA
| | - Chuck J A van de Cappelle
- Department of Psychiatry, University of California, San Diego, San Diego, USA.,Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Davide Dulcis
- Department of Psychiatry, University of California, San Diego, San Diego, USA
| | - Jared W Young
- Department of Psychiatry, University of California, San Diego, San Diego, USA. .,Research Service, VA San Diego Healthcare System, San Diego, USA.
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Zhong J, Li S, Zeng W, Li X, Gu C, Liu J, Luo XJ. Integration of GWAS and brain eQTL identifies FLOT1 as a risk gene for major depressive disorder. Neuropsychopharmacology 2019; 44:1542-1551. [PMID: 30771789 PMCID: PMC6785150 DOI: 10.1038/s41386-019-0345-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 02/11/2019] [Accepted: 02/12/2019] [Indexed: 12/28/2022]
Abstract
Major depressive disorder (MDD) is the most prevalent mental disorder that affects more than 200 million people worldwide. Recent large-scale genome-wide association studies (GWAS) have identified multiple risk variants that show robust association with MDD. Nevertheless, how the identified risk variants confer risk of MDD remains largely unknown. To identify risk variants that are associated with gene expression in human brain and to identify genes whose expression change may contribute to the susceptibility of MDD, we systematically integrated the genetic associations from a large-scale MDD GWAS (N = 480,359) and brain expression quantitative trait loci (eQTL) data (N = 494) using a Bayesian statistical framework (Sherlock). Sherlock integrative analysis showed that FLOT1 was significantly associated with MDD (P = 6.02 × 10-6), suggesting that risk variants may contribute to MDD susceptibility through affecting FLOT1 expression. We further examined the expression level of FLOT1 in MDD cases and controls and found that FLOT1 was significantly upregulated in brains and peripheral blood of MDD cases compared with controls (European sample). Interestingly, we found that FLOT1 expression was also significantly upregulated in peripheral blood of first-episode drug-naive MDD cases compared with controls (P = 1.01 × 10-7, Chinese sample). Our study identified FLOT1 as a novel MDD risk gene whose expression level may play a role in MDD. In addition, our findings also suggest that risk variants may confer risk of MDD through affecting expression of FLOT1. Further functional investigation of FLOT1 may provide new insights for MDD pathogenesis.
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Affiliation(s)
- Jingmei Zhong
- The first people’s hospital of Yunnan province, Psychiatry Department, 650032 Kunming, Yunnan China
| | - Shiwu Li
- 0000000119573309grid.9227.eKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223 Kunming, Yunnan China ,Kunming College of Life Science, University of Chinese Academy of Sciences, 650204 Kunming, Yunnan China
| | - Wanli Zeng
- Yunnan Academy of Tobacco Science, 650106 Kunming, Yunnan China
| | - Xiaoyan Li
- 0000000119573309grid.9227.eKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223 Kunming, Yunnan China ,Kunming College of Life Science, University of Chinese Academy of Sciences, 650204 Kunming, Yunnan China
| | - Chunjie Gu
- The first people’s hospital of Yunnan province, Psychiatry Department, 650032 Kunming, Yunnan China
| | - Jiewei Liu
- 0000000119573309grid.9227.eKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223 Kunming, Yunnan China
| | - Xiong-Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, Yunnan, China. .,Kunming College of Life Science, University of Chinese Academy of Sciences, 650204, Kunming, Yunnan, China. .,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223, Kunming, China. .,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, Yunnan, China.
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Salatino-Oliveira A, Rohde LA, Hutz MH. The dopamine transporter role in psychiatric phenotypes. Am J Med Genet B Neuropsychiatr Genet 2018; 177:211-231. [PMID: 28766921 DOI: 10.1002/ajmg.b.32578] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 06/26/2017] [Accepted: 07/18/2017] [Indexed: 01/06/2023]
Abstract
The dopamine transporter (DAT) is one of the most relevant and investigated neurotransmitter transporters. DAT is a plasma membrane protein which plays a homeostatic role, controlling both extracellular and intracellular concentrations of dopamine (DA). Since unbalanced DA levels are known to be involved in numerous mental disorders, a wealth of investigations has provided valuable insights concerning DAT role into normal brain functioning and pathological processes. Briefly, this extensive but non-systematic review discusses what is recently known about the role of SLC6A3 gene which encodes the dopamine transporter in psychiatric phenotypes. DAT protein, SLC6A3 gene, animal models, neuropsychology, and neuroimaging investigations are also concisely discussed. To conclude, current challenges are reviewed in order to provide perspectives for future studies.
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Affiliation(s)
| | - Luis A Rohde
- Division of Child and Adolescent Psychiatry, Hospital de Clinicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Institute for Developmental Psychiatry for Children and Adolescents, São Paulo, Brazil
| | - Mara H Hutz
- Department of Genetics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Arpón A, Milagro FI, Laja A, Segura V, de Pipaón MS, Riezu-Boj JI, Alfredo Martínez J. Methylation changes and pathways affected in preterm birth: a role for SLC6A3 in neurodevelopment. Epigenomics 2017; 10:91-103. [PMID: 29172706 DOI: 10.2217/epi-2017-0082] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
AIM To analyze whether preterm newborns show differences in methylation patterns in comparison to full-term newborns in white blood cells. PATIENTS & METHODS Anthropometrical, biochemical features and methylation levels of preterm newborns (n = 24) and full-term newborns (n = 22) recruited in La Paz University Hospital (Spain) were assessed at 12 months of gestational age, whereas Bayley Scale of Infant Development was evaluated at 24/36 months. RESULTS From all the statistically significant CpGs, methylation levels of cg00997378 (SLC6A3 gene) showed the highest differences (p < 0.0001), being associated with prematurity risk factors. CONCLUSION SLC6A3 methylation, previously related to attention-deficit/hyperactivity disorder, neuronal function and behavior, might be a potential epigenetic biomarker with value in the early diagnosis and management of neurodevelopmental diseases in newborns.
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Affiliation(s)
- Ana Arpón
- Department of Nutrition, Food Sciences & Physiology, Universidad de Navarra, Irunlarrea 1, 31008 Pamplona, Spain.,Centre for Nutrition Research, Universidad de Navarra, Irunlarrea 1, 31008 Pamplona, Spain
| | - Fermín I Milagro
- Department of Nutrition, Food Sciences & Physiology, Universidad de Navarra, Irunlarrea 1, 31008 Pamplona, Spain.,Centre for Nutrition Research, Universidad de Navarra, Irunlarrea 1, 31008 Pamplona, Spain.,Spanish Biomedical Research Centre in Physiopathology of Obesity & Nutrition (CIBERobn), Institute of Health Carlos III, Madrid, Spain
| | - Ana Laja
- Department of Pharmaceutical & Health Sciences, Faculty of Pharmacy, CEU San Pablo University, Madrid, Spain
| | - Víctor Segura
- Unit of Bioinformatics, Centre for Applied Medical Research (CIMA), Universidad de Navarra, Pamplona, Spain
| | - Miguel Sáenz de Pipaón
- Neonatology Department, Hospital Universitario de la Paz, Madrid, Spain.,Instituto de Salud Carlos III, Red de Salud Materno Infantil y Desarrollo (SAMID), Madrid, Spain.,Department of Pediatrics, Universidad Autónoma de Madrid, Madrid, Spain
| | - José-Ignacio Riezu-Boj
- Department of Nutrition, Food Sciences & Physiology, Universidad de Navarra, Irunlarrea 1, 31008 Pamplona, Spain.,Centre for Nutrition Research, Universidad de Navarra, Irunlarrea 1, 31008 Pamplona, Spain.,Digestive disease and Nutrition group, Navarra Institute for Health Research (IdiSNa), Pamplona, Spain
| | - J Alfredo Martínez
- Department of Nutrition, Food Sciences & Physiology, Universidad de Navarra, Irunlarrea 1, 31008 Pamplona, Spain.,Centre for Nutrition Research, Universidad de Navarra, Irunlarrea 1, 31008 Pamplona, Spain.,Spanish Biomedical Research Centre in Physiopathology of Obesity & Nutrition (CIBERobn), Institute of Health Carlos III, Madrid, Spain.,Digestive disease and Nutrition group, Navarra Institute for Health Research (IdiSNa), Pamplona, Spain.,Madrid Institute of Advanced Studies (IMDEA), IMDEA Food, Madrid, Spain
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Kennedy JL, Xiong N, Yu J, Zai CC, Pouget JG, Li J, Liu K, Qing H, Wang T, Martin E, Levy DL, Lin Z. Increased Nigral SLC6A3 Activity in Schizophrenia Patients: Findings From the Toronto-McLean Cohorts. Schizophr Bull 2016; 42:772-81. [PMID: 26707863 PMCID: PMC4838105 DOI: 10.1093/schbul/sbv191] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
SLC6A3, which encodes the primary regulator of extracellular dopamine (DA) concentration, the DA transporter, has been implicated in schizophrenia (SCZ). However, the details of its genetic effect on risk remain largely unknown. The purpose of this candidate gene study was to identify a specificSLC6A3activity associated with SCZ by using functional genetic approaches. We first examined gene activity in DA neurons isolated from case-control postmortem nigral tissue and found that the averageSLC6A3mRNA level in controls was only 0.37-fold of that in cases (P= .0034). To understand this expression difference, we examined the association of 10 genetic markers, mostly located in the promoter region, with SCZ in 1717 subjects collected from Toronto and McLean cohorts, including 881 controls and 836 cases and identified the 5' promoter SNP rs1478435 as having a significant association signal (uncorrectedPvalue: .00462; adjustedPvalue: .0319) in unrelated Caucasians. Allele T was over-represented in controls (OR = .75); T-carrier controls had decreased mRNA levels in nigral DA neurons, contributing to the reduced activity in the controls. In vitro functional analysis confirmed that T carriers displayed attenuated enhancement of promoter activity. These findings collectively suggest that increased nigralSLC6A3activity may be a risk factor for SCZ, and may help to explain high rates of comorbidity with substance abuse.
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Affiliation(s)
- James L. Kennedy
- Neurogenetics Section, Neuroscience Research Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada;,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada;,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Nian Xiong
- Laboratory of Psychiatric Neurogenomics, McLean Hospital, Belmont, MA;,Department of Psychiatry, Harvard Medical School, Boston, MA;,Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jinlong Yu
- Laboratory of Psychiatric Neurogenomics, McLean Hospital, Belmont, MA;,Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Clement C. Zai
- Neurogenetics Section, Neuroscience Research Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada;,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada;,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Jennie G. Pouget
- Neurogenetics Section, Neuroscience Research Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada;,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada;,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Jie Li
- Laboratory of Psychiatric Neurogenomics, McLean Hospital, Belmont, MA;,Department of Psychiatry, Harvard Medical School, Boston, MA;,Institute of Psychiatry, Tianjin Mental Health Center, Tianjin, China
| | - Kefu Liu
- Laboratory of Psychiatric Neurogenomics, McLean Hospital, Belmont, MA;,Department of Psychiatry, Harvard Medical School, Boston, MA;,School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Hong Qing
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Tao Wang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Eden Martin
- Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL
| | - Deborah L. Levy
- Department of Psychiatry, Harvard Medical School, Boston, MA;,Psychology Research Laboratory, McLean Hospital, Belmont, MA,Joint last author
| | - Zhicheng Lin
- Laboratory of Psychiatric Neurogenomics, McLean Hospital, Belmont, MA; Department of Psychiatry, Harvard Medical School, Boston, MA;
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