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J Abnorm Child Psychol. 2008, 36: 187-206. 10.1007\u002Fs10802-007-9169-5.\nManor I, Eisenberg J, Tyano S, Sever Y, Cohen H, Ebstein RP, Kotler M: Family-based association study of the serotonin transporter promoter polymorphism (5-HTTLPR) in attention-deficit hyperactivity disorder. Am J Med Genet. 2001, 105: 91-95. 10.1002\u002F1096-8628(20010108)105:1\u003C91::AID-AJMG1069>3.0.CO;2-V.\nSeeger G, Schloss P, Schmidt MH: Functional polymorphism within the promoter of the serotonin transporter gene is associated with severe hyperkinetic disorders. Mol Psychiatry. 2001, 6: 235-238. 10.1038\u002Fsj.mp.4000820.\nKent L, Doerry U, Hardy E, Parmar R, Gingell K, Hawi Z, Kirley A, Lowe N, Fitzgerald M, Gill M, Craddock N: Evidence that variation at the serotonin transporter gene influences susceptibility to attention deficit hyperactivity disorder (ADHD): Analysis and pooled analysis. Mol Psychiatry. 2002, 7: 908-912. 10.1038\u002Fsj.mp.4001100.\nBarry RA, Kochanska G, Philibert RA: GxE interaction in the organization of attachment: Mothers' responsiveness as a moderator of children's genotypes. J Child Psychol Psychiatry. 2008, 49: 1313-1320. 10.1111\u002Fj.1469-7610.2008.01935.x.\nPauli-Pott U, Friedl S, Hinney A, Hebebrand J: Serotonin transporter gene polymorphism (5HTTLPR), environmental conditions, and developing negative emotionality and fear in early childhood. J Neural Transm. 2009, 116: 503-512. 10.1007\u002Fs00702-008-0171-z.\nKeller MC, Miller G: Resolving the paradox of common, harmful, heritable mental disorders: Which evolutionary genetic models work best?. Behav Brain Sci. 2006, 29: 385-404.\nReif A, Rosler M, Schneider M, Eujen A, Kissling C, Jacob CP, Retz-Junginger P, Thome J, Lesch KP, Retz W: Nature and nuture predispose to violent behavior: Serotonergic genes and adverse child environment. Neuropsychopharmacology. 2007, 32: 2375-2383. 10.1038\u002Fsj.npp.1301359.",{"EN":156},"Serotonin genes have been hypothesized to play a role in the etiology of attention-deficit hyperactivity disorder (ADHD); prior work suggests that serotonin may interact with psychosocial stressors in ADHD, perhaps via mechanisms involved in emotional dysregulation. Because the development of behavioral and emotional regulation depends heavily both on the child's experience within the family context and the child's construals of that experience, children's appraisals of inter-parental conflict are a compelling candidate potentiator of the effects of variation within the serotonin transporter gene promoter polymorphism (5HTTLPR) on liability for ADHD. 304 youth from the local community underwent a multi-informant diagnostic assessment procedure to identify ADHD cases and non-ADHD controls. Youth also completed the Children's Perception of Inter-Parental Conflict (CPIC) scale to assess appraisals of self-blame in relation to their parents' marital disputes. The trialleic configuration of 5HTTLPR (long\u002Fshort polymorphism with A> G substitution) was genotyped and participants were assigned as having high (La\u002FLa N = 78), intermediate (La\u002FLg, La\u002Fshort, N = 137), or low (Lg\u002FLg, Lg\u002Fshort, short\u002Fshort, N = 89) serotonin transporter activity genotypes. Teacher reported behavior problems were examined as the target outcome to avoid informant overlap for moderator and outcome measures. Hierarchical linear regression analyses indicated significant 5HTTLPR × self-blame interactions for ADHD symptoms. Examination of the interactions indicated positive relations between reports of self-blame and ADHD symptoms for those with the high and low serotonin activity genotypes. There was no relation between self-blame and ADHD for those with intermediate activity 5HTTLPR genotypes. Both high and low serotonergic activity may exert risk for ADHD when coupled with psychosocial distress such as children's self-blame in relation to inter-parental conflict. Results are discussed in relation to the role of serotonin in the etiology of the ADHD and related externalizing behaviors.",{"EN":158},"Gene × environment interactions for ADHD: synergistic effect of 5HTTLPR genotype and youth appraisals of inter-parental conflict",{"VOID":160},"10.1186\u002F1744-9081-6-23","PUBLICATION","https:\u002F\u002Fbehavioralandbrainfunctions.biomedcentral.com\u002Farticles\u002F10.1186\u002F1744-9081-6-23",[164,180,195,210,226],{"id":165,"sortIndex":136,"researcher":20,"roles":166,"affiliations":168,"properties":177},"8ef674e4-1698-44f2-80fb-9bbb1185100c",[167],"AUTHOR",[169],{"id":20,"sortIndex":21,"affiliation":170,"properties":20},{"id":171,"createTime":172,"updateTime":172,"relativeEntities":173,"slug":20,"properties":174,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"15ba96ea-1154-42c0-97cd-c8c312008913","2023-12-19T21:10:47.296+00:00",[],{"title":175},{"VI":176},"Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, USA",{"title":178},{"VI":179},"Katherine Jernigan",{"id":181,"sortIndex":21,"researcher":20,"roles":182,"affiliations":183,"properties":192},"a5674de4-fe39-4880-aa72-ada21152f71b",[167],[184],{"id":20,"sortIndex":21,"affiliation":185,"properties":20},{"id":186,"createTime":187,"updateTime":187,"relativeEntities":188,"slug":20,"properties":189,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"cc062460-4eac-488b-97f4-3ad9a65f5310","2023-12-28T03:27:59.543+00:00",[],{"title":190},{"VI":191},"Department of Psychology, Michigan State University, East Lansing, USA",{"title":193},{"VI":194},"Molly Nikolas",{"id":196,"sortIndex":140,"researcher":20,"roles":197,"affiliations":198,"properties":207},"3022d431-106c-4120-9cb4-5a99a8d67aaa",[167],[199],{"id":20,"sortIndex":21,"affiliation":200,"properties":20},{"id":201,"createTime":202,"updateTime":202,"relativeEntities":203,"slug":20,"properties":204,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"52870dcc-c4a6-4d91-b6a6-cd99290f69d1","2024-01-12T11:30:11.422+00:00",[],{"title":205},{"VI":206},"Department of Psychiatry, Oregon Health and Science University, Portland, USA",{"title":208},{"VI":209},"Joel T Nigg",{"id":211,"sortIndex":212,"researcher":20,"roles":213,"affiliations":214,"properties":223},"9315700c-e8a6-4179-9bfa-1c4dc35ba903",2,[167],[215],{"id":20,"sortIndex":21,"affiliation":216,"properties":20},{"id":217,"createTime":218,"updateTime":218,"relativeEntities":219,"slug":20,"properties":220,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"a964e028-305a-4959-8ddd-2e32f7473a1e","2023-12-05T19:11:48.937+00:00",[],{"title":221},{"VI":222},"Department of Psychology, Emory University, Atlanta, USA",{"title":224},{"VI":225},"Irwin Waldman",{"id":227,"sortIndex":228,"researcher":20,"roles":229,"affiliations":230,"properties":236},"3bc6d122-2c68-485d-af0e-145ff2aba9f6",1,[167],[231],{"id":20,"sortIndex":21,"affiliation":232,"properties":20},{"id":171,"createTime":172,"updateTime":172,"relativeEntities":233,"slug":20,"properties":234,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":235},{"VI":176},{"title":237},{"VI":238},"Karen Friderici","ARTICLE",{"url":162,"publisher":241,"properties":269},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":242,"slug":10,"properties":243,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":247,"manageAffiliations":248,"indexDatabases":249,"url":20,"thumbnailPath":20,"statistic":264,"gsStatistic":20,"type":143,"analyzePriority":20},[],{"issn":244,"title":245,"url":246},{"VOID":13},{"EN":15},{"VOID":17},[],[],[250,257],{"id":80,"indexDatabase":251,"url":95,"indexYears":20,"academicFieldIds":256,"indexDatabaseRanking":20},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":252,"label":253,"description":254,"key":91,"publicationTags":255,"standard":20},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97,98],{"id":100,"indexDatabase":258,"url":113,"indexYears":114,"academicFieldIds":263,"indexDatabaseRanking":120},{"id":102,"createTime":103,"updateTime":104,"relativeEntities":259,"label":260,"description":261,"key":110,"publicationTags":262,"standard":20},[],{"EN":107,"VI":107},{"EN":107,"VI":109},[112],[116,117,118,119],{"impactFactor":21,"impactFactorByYear":265,"i10Index":21,"i10IndexLast5Year":21,"totalPublication":123,"totalPublicationByYear":266,"totalCitation":21,"totalCitationByYear":267,"totalCitationPerPublication":21,"totalCitationPerPublicationByYear":268,"hindexLast5Year":21,"hindex":21},{},{"2005":125,"2006":126,"2007":127,"2008":128,"2009":129,"2010":130,"2011":131,"2012":132,"2013":126,"2014":133,"2015":133,"2016":125,"2017":134,"2018":134,"2019":135,"2020":136,"2021":137,"2022":138,"2023":139,"2024":140},{},{},{"volume":270,"pages":272},{"VOID":271},"6",{"VOID":273},"1-15","2010-04-16",2010,false,{"id":278,"createTime":279,"updateTime":280,"relativeEntities":281,"slug":282,"properties":283,"entityType":161,"verifyStatus":292,"verifyTime":280,"verifyNote":293,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":294,"fullTextUrl":20,"authors":295,"publicationType":239,"publisherRelationship":437,"citationCount":20,"citationInfo":20,"publishDate":471,"publishYear":472,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":276},"4ef3a8e4-ee0e-4c8b-a64b-623a62451601","2024-02-14T07:16:01.348+00:00","2025-02-01T23:54:47.362+00:00",[],"Anticipation-of-difficult-tasks-neural-correlates-of-negative-emotions-and-emotion-regulation",{"references":284,"abstract":286,"title":288,"doi":290},{"VOID":285},"Eysenck M. 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Towards an anatomical and functional model of number processing. Math Cogn. 1995;1:83–120.\nDaitch AL, Foster BL, Schrouff J, Rangarajan V, Kaşikçi I, Gattas S, et al. Mapping human temporal and parietal neuronal population activity and functional coupling during mathematical cognition. Proc Natl Acad Sci. 2016;113(46):E7277–86. https:\u002F\u002Fdoi.org\u002F10.1073\u002Fpnas.1608434113.\nShi Y, Meindl T, Szameitat AJ, Müller HJ, Schubert T. Task preparation and neural activation in stimulus-specific brain regions: an fMRI study with the cued task-switching paradigm. Brain Cogn. 2014;87(1):39–51.\nOchsner KN, Bunge SA, Gross JJ, Gabrieli JDE. Rethinking feelings: an FMRI study of the cognitive regulation of emotion. J Cogn Neurosci. 2002;14(8):1215–29.",{"EN":287},"Difficult cognitive tasks are often associated with negative feelings. This can be already the case for the mere anticipation of having to do a difficult task. For the case of difficult math tasks, it was recently suggested that such a negative emotional response may be exclusive to highly math-anxious individuals. However, it is also conceivable that negative emotional responses simply reflect that math is perceived as difficult. Here we investigated whether non-math-anxious individuals also experience negative emotional responses when anticipating to do difficult math tasks. We compared brain activation following the presentation of a numerical cue indicating either difficult or easy upcoming proportion magnitude comparison tasks. Comparable to previous results for highly math-anxious individuals we observed a network associated with negative emotions to be activated in non-math-anxious individuals when facing cues indicating a difficult upcoming task. Importantly, however, math anxiety scores did not predict the neural response. Furthermore, we observed activation in areas associated with processes of cognitive control areas such as anterior cingulate cortex, which were suggested to play a key role in emotion regulation. Activation in the emotion processing network was observed when anticipating an upcoming difficult (math) task. However, this activation was not predicted by individual’ degree of math anxiety. Therefore, we suggest that negative emotional responses to difficult math tasks might be a rather common reaction not specific to math-anxious individuals. Whether or not this initial negative response impairs math performance, however, might depend on the ability to regulate those emotions effectively.",{"EN":289},"Anticipation of difficult tasks: neural correlates of negative emotions and emotion regulation",{"VOID":291},"10.1186\u002Fs12993-019-0155-1","VERIFIED","Auto Verify","https:\u002F\u002Fbehavioralandbrainfunctions.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12993-019-0155-1",[296,311,326,358,377,392,418],{"id":297,"sortIndex":137,"researcher":20,"roles":298,"affiliations":299,"properties":308},"8e9e88ef-781d-454d-9f7b-c79d571fcf93",[167],[300],{"id":20,"sortIndex":21,"affiliation":301,"properties":20},{"id":302,"createTime":303,"updateTime":303,"relativeEntities":304,"slug":20,"properties":305,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"a8b53da5-d817-4e38-8c7b-85b034d9cab6","2024-01-27T06:42:43.955+00:00",[],{"title":306},{"VI":307},"Department of Neurology, University Hospital, RWTH Aachen University, Aachen, Germany",{"title":309},{"VI":310},"Klaus Willmes",{"id":312,"sortIndex":136,"researcher":20,"roles":313,"affiliations":314,"properties":323},"acbaf07c-9263-416e-87b2-f181696bfe2f",[167],[315],{"id":20,"sortIndex":21,"affiliation":316,"properties":20},{"id":317,"createTime":318,"updateTime":318,"relativeEntities":319,"slug":20,"properties":320,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"88af8615-bfef-412a-a3b8-a6e7f995970e","2024-01-22T11:13:31.562+00:00",[],{"title":321},{"VI":322},"Leibniz-Institut für Wissensmedien, Tübingen, Germany",{"title":324},{"VI":325},"Stefan Huber",{"id":327,"sortIndex":135,"researcher":20,"roles":328,"affiliations":329,"properties":355},"aa1d69e0-d6ff-49be-acd6-2bdffc513c32",[167],[330,340,350],{"id":331,"sortIndex":212,"affiliation":332,"properties":339},"478027da-bfaf-4879-916d-ed718e8a79bc",{"id":333,"createTime":334,"updateTime":334,"relativeEntities":335,"slug":20,"properties":336,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"d844be7d-1086-4e2b-bddb-a694e2c12644","2024-02-14T07:16:01.613+00:00",[],{"title":337},{"VI":338},"Department of Psychology, University of Tuebingen, Tübingen, Germany",{},{"id":341,"sortIndex":228,"affiliation":342,"properties":349},"1d0e2a33-34f4-4965-8133-51b6871758ae",{"id":343,"createTime":344,"updateTime":344,"relativeEntities":345,"slug":20,"properties":346,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"b8b08b7b-8c25-4c89-9f36-789dc711f40e","2024-02-14T07:16:01.498+00:00",[],{"title":347},{"VI":348},"LEAD Graduate School and Research Network, University of Tuebingen, Tübingen, Germany",{},{"id":20,"sortIndex":21,"affiliation":351,"properties":20},{"id":317,"createTime":318,"updateTime":318,"relativeEntities":352,"slug":20,"properties":353,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":354},{"VI":322},{"title":356},{"VI":357},"Korbinian Moeller",{"id":359,"sortIndex":228,"researcher":20,"roles":360,"affiliations":361,"properties":374},"d569c4c2-a4c7-4b21-b677-e108ec748563",[167],[362,367],{"id":20,"sortIndex":21,"affiliation":363,"properties":20},{"id":317,"createTime":318,"updateTime":318,"relativeEntities":364,"slug":20,"properties":365,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":366},{"VI":322},{"id":368,"sortIndex":228,"affiliation":369,"properties":373},"7387646c-e68a-4e17-b697-ffae3c840ce8",{"id":343,"createTime":344,"updateTime":344,"relativeEntities":370,"slug":20,"properties":371,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":372},{"VI":348},{},{"title":375},{"VI":376},"Silke M. Bieck",{"id":378,"sortIndex":212,"researcher":20,"roles":379,"affiliations":380,"properties":389},"963ecf95-f6af-4630-b916-817f667a7b16",[167],[381],{"id":20,"sortIndex":21,"affiliation":382,"properties":20},{"id":383,"createTime":384,"updateTime":384,"relativeEntities":385,"slug":20,"properties":386,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"dcd89c87-3533-4b52-9bcb-7b3d0472e57c","2023-12-01T22:03:32.820+00:00",[],{"title":387},{"VI":388},"Department of Psychiatry and Psychotherapy, University of Tuebingen, Tübingen, Germany",{"title":390},{"VI":391},"Johannes Bloechle",{"id":393,"sortIndex":140,"researcher":20,"roles":394,"affiliations":395,"properties":415},"5c161b7a-16a2-4068-999d-8c1ce4a0dca3",[167],[396,403,408],{"id":397,"sortIndex":228,"affiliation":398,"properties":402},"a12b668a-79c5-4e77-bba4-d00109a011cb",{"id":343,"createTime":344,"updateTime":344,"relativeEntities":399,"slug":20,"properties":400,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":401},{"VI":348},{},{"id":20,"sortIndex":21,"affiliation":404,"properties":20},{"id":317,"createTime":318,"updateTime":318,"relativeEntities":405,"slug":20,"properties":406,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":407},{"VI":322},{"id":409,"sortIndex":212,"affiliation":410,"properties":414},"a641e237-ce01-42e3-a60d-2ca159a00e9c",{"id":333,"createTime":334,"updateTime":334,"relativeEntities":411,"slug":20,"properties":412,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":413},{"VI":338},{},{"title":416},{"VI":417},"Julia Bahnmueller",{"id":419,"sortIndex":21,"researcher":20,"roles":420,"affiliations":421,"properties":434},"657d835a-0534-4a7f-811d-511275b6b70a",[167],[422,429],{"id":423,"sortIndex":228,"affiliation":424,"properties":428},"e5a99560-3679-4156-a6c6-850d8d129917",{"id":343,"createTime":344,"updateTime":344,"relativeEntities":425,"slug":20,"properties":426,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":427},{"VI":348},{},{"id":20,"sortIndex":21,"affiliation":430,"properties":20},{"id":317,"createTime":318,"updateTime":318,"relativeEntities":431,"slug":20,"properties":432,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":433},{"VI":322},{"title":435},{"VI":436},"Elise Klein",{"url":294,"publisher":438,"properties":466},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":439,"slug":10,"properties":440,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":444,"manageAffiliations":445,"indexDatabases":446,"url":20,"thumbnailPath":20,"statistic":461,"gsStatistic":20,"type":143,"analyzePriority":20},[],{"issn":441,"title":442,"url":443},{"VOID":13},{"EN":15},{"VOID":17},[],[],[447,454],{"id":80,"indexDatabase":448,"url":95,"indexYears":20,"academicFieldIds":453,"indexDatabaseRanking":20},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":449,"label":450,"description":451,"key":91,"publicationTags":452,"standard":20},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97,98],{"id":100,"indexDatabase":455,"url":113,"indexYears":114,"academicFieldIds":460,"indexDatabaseRanking":120},{"id":102,"createTime":103,"updateTime":104,"relativeEntities":456,"label":457,"description":458,"key":110,"publicationTags":459,"standard":20},[],{"EN":107,"VI":107},{"EN":107,"VI":109},[112],[116,117,118,119],{"impactFactor":21,"impactFactorByYear":462,"i10Index":21,"i10IndexLast5Year":21,"totalPublication":123,"totalPublicationByYear":463,"totalCitation":21,"totalCitationByYear":464,"totalCitationPerPublication":21,"totalCitationPerPublicationByYear":465,"hindexLast5Year":21,"hindex":21},{},{"2005":125,"2006":126,"2007":127,"2008":128,"2009":129,"2010":130,"2011":131,"2012":132,"2013":126,"2014":133,"2015":133,"2016":125,"2017":134,"2018":134,"2019":135,"2020":136,"2021":137,"2022":138,"2023":139,"2024":140},{},{},{"volume":467,"pages":469},{"VOID":468},"15",{"VOID":470},"1-13","2019-03-18",2019,{"id":474,"createTime":475,"updateTime":476,"relativeEntities":477,"slug":478,"properties":479,"entityType":161,"verifyStatus":292,"verifyTime":476,"verifyNote":293,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":228,"primaryUrl":488,"fullTextUrl":20,"authors":489,"publicationType":239,"publisherRelationship":580,"citationCount":20,"citationInfo":20,"publishDate":614,"publishYear":615,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":276},"bd999d9f-f374-41de-a3dd-572482f3b805","2024-01-19T12:58:56.745+00:00","2025-01-28T23:53:50.569+00:00",[],"Functional-Val66Met-polymorphism-of-Brain-derived-neurotrophic-factor-in-type-2-diabetes-with-depression-in-Han-Chinese-subjects",{"references":480,"abstract":482,"title":484,"doi":486},{"VOID":481},"Ali S, Stone MA, Peters JL, Davies MJ, Khunti K: The prevalence of co-morbid depression in adults with Type 2 diabetes: a systematic review and meta-analysis. Diabet Med. 2006, 23: 1165-73. 10.1111\u002Fj.1464-5491.2006.01943.x.\nFeinkohl I, Sattar N, Welsh P, Reynolds RM, Deary IJ: Association of N-Terminal Pro-Brain Natriuretic Peptide with Cognitive Function and Depression in Elderly People with Type 2 Diabetes. PLoS One. 2012, 7: e44569-10.1371\u002Fjournal.pone.0044569.\nEgede LE, Nietert PJ, Zheng D: Depression and all-cause and coronary heart disease mortality among adults with and without diabetes. Diabetes Care. 2005, 28: 1339-45. 10.2337\u002Fdiacare.28.6.1339.\nAnderson RJ, Freedland KE, Clouse RE, Lustman PJ: The prevalence of comorbid depression in adults with diabetes: a meta-analysis. Diabetes Care. 2001, 24: 1069-78. 10.2337\u002Fdiacare.24.6.1069.\nBogner HR, Morales KH, Post EP, Bruce ML: Diabetes, depression, and death: a randomized controlled trial of a depression treatment program for older adults based in primary care (PROSPECT). Diabetes Care. 2007, 30: 3005-10. 10.2337\u002Fdc07-0974.\nMattson MP, Maudsley S, Martin B: BDNF and 5-HT: a dynamic duo in age-related neuronal plasticity and neurodegenerative disorders. Trends Neurosci. 2004, 27: 589-94. 10.1016\u002Fj.tins.2004.08.001.\nTsai SJ, Hong CJ, Liou YJ: Effects of BDNF polymorphisms on antidepressant action. Psychiatry Investig. 2010, 7: 236-42. 10.4306\u002Fpi.2010.7.4.236.\nDuman RS: Role of neurotrophic factors in the etiology and treatment of mood disorders. Neuromolecular Med. 2004, 5 (1): 11-25. 10.1385\u002FNMM:5:1:011.\nKarege F, Perret G, Bondolfi G, Schwald M, Bertschy G: Decreased serum brain-derived neurotrophic factor levels in major depressed patients. Psychiatry Res. 2002, 109: 143-8. 10.1016\u002FS0165-1781(02)00005-7.\nSen S, Duman R, Sanacora G: Serum brain-derived neurotrophic factor, depression, and antidepressant medications: meta-analyses and implications. Biol Psychiatry. 2008, 64 (6): 527-532. 10.1016\u002Fj.biopsych.2008.05.005.\nDuman RS: Structural alterations in depression: cellular mechanisms underlying pathology and treatment of mood disorders. CNS Spectr. 2002, 7: 140-142.\nVentriglia M, Bocchio Chiavetto L, Benussi L, Binetti G, Zanetti O: Association between the BDNF 196 A\u002FG polymorphism and sporadic Alzheimer's disease. Mol Psychiatry. 2002, 7 (2): 136-7. 10.1038\u002Fsj.mp.4000952.\nEgan MF, Kojima M, Callicott JH, Goldberg TE, Kolachana BS: The BDNF val66met polymorphism affects activity-dependent secretion of BDNF and human memory and hippocampal function. Cell. 2003, 112: 257-69. 10.1016\u002FS0092-8674(03)00035-7.\nMolendijk ML, van Tol MJ, Penninx BW, van der Wee NJ, Aleman A, Veltman DJ: BDNF val66met affects hippocampal volume and emotion-related hippocampal memory activity. Transl Psychiatry. 2012, 31 (2): e74-\nRibeiro L, Busnello JV, Cantor RM, Whelan F, Whittaker P: The brain-derived neurotrophic factor rs6265 (Val66Met) polymorphism and depression in Mexican-Americans. Neuroreport. 2007, 18: 1291-3. 10.1097\u002FWNR.0b013e328273bcb0.\nJiang X, Xu K, Hoberman J, Tian F, Marko AJ: BDNF variation and mood disorders: a novel functional promoter polymorphism and Val66Met are associated with anxiety but have opposing effects. Neuropsychopharmacology. 2005, 30 (7): 1353-61.\nSchumacher J, Jamra RA, Becker T, Ohlraun S, Klopp N: Evidence for a relationship between genetic variants at the brain-derived neurotrophic factor (BDNF) locus and major depression. Biol Psychiatry. 2005, 58 (4): 307-314. 10.1016\u002Fj.biopsych.2005.04.006.\nCarrard A, Salzmann A, Perroud N, Gafner J, Malafosse A, Karege F: Genetic association of the Phosphoinositide-3 kinase in schizophrenia and bipolar disorder and interaction with a BDNF gene polymorphism. Brain Behav. 2011, 1 (2): 119-24. 10.1002\u002Fbrb3.23.\nChen ZY, Jing D, Bath KG, Ieraci A, Khan T: Genetic variant BDNF (Val66Met) polymorphism alters anxiety-related behavior. Science. 2006, 314: 140-3. 10.1126\u002Fscience.1129663.\nTsai SJ, Hong CJ, Liou YJ: Effects of BDNF polymorphisms on antidepressant action. Psych Investig. 2010, 7 (4): 236-42. 10.4306\u002Fpi.2010.7.4.236.\nOuthred T, Das P, Dobson-Stone C, Griffiths K, Felmingham KL, Bryant RA: The functional epistasis of 5-HTTLPR and BDNF Val66Met on emotion processing: a preliminary study. Brain Behav. 2012, 2 (6): 778-88. 10.1002\u002Fbrb3.99.\nVasant DH, Payton A, Mistry S, Thompson DG, Hamdy S: The val66met polymorphism of brain-derived neurotrophic factor is associated with human esophageal hypersensitivity. Neurogastroenterol Motil. 2013 Feb, 25 (2): 162-e85. 10.1111\u002Fnmo.12021.\nSmolders R, Rijpkema M, Franke B, Fernández G: BDNF Val66Met polymorphism interacts with sex to influence bimanual motor control in healthy humans. Brain Behav. 2012, 2 (6): 726-31. 10.1002\u002Fbrb3.83.\nHwang JP, Tsai SJ, Hong CJ, Yang CH, Lirng JF: The Val66Met polymorphism of the brain-derived neurotrophic-factor gene is associated with geriatric depression. Neurobiol Aging. 2006, 27: 1834-7. 10.1016\u002Fj.neurobiolaging.2005.10.013.\nHong CJ, Huo SJ, Yen FC, Tung CL, Pan GM, Tsai SJ: Association study of a brain-derived neurotrophic-factor genetic polymorphism and mood disorders, age of onset and suicidal behavior. Neuropsychobiology. 2003, 48: 186-9. 10.1159\u002F000074636.\nArentoft A, Sweat V, Starr V, Oliver S, Hassenstab J: Plasma BDNF is reduced among middle-aged and elderly women with impaired insulin function: evidence of a compensatory mechanism. Brain Cogn. 2009, 71: 147-52. 10.1016\u002Fj.bandc.2009.04.009.\nKernie SG, Liebl DJ, Parada LF: BDNF regulates eating behavior and locomotor activity in mice. EMBO J. 2000, 19 (6): 1290-300. 10.1093\u002Femboj\u002F19.6.1290.\nFujinami A, Ohta K, Obayashi H, Fukui M, Hasegawa G, Nakamura N: Serum brain-derived neurotrophic factor in patients with type 2 diabetes mellitus: Relationship to glucose metabolism and biomarkers of insulin resistance. Clin Biochem. 2008, 41 (10–11): 812-7.\nRao AA, Sridhar GR, Srinivas B, Das UN: Bioinformatics analysis of functional protein sequences reveals a role for brain-derived neurotrophic factor in obesity and type 2 diabetes mellitus. Med Hypotheses. 2008, 70 (2): 424-9. 10.1016\u002Fj.mehy.2007.03.034.\nSwift DL, Johannsen NM, Myers VH, Earnest CP, Smits JA: The effect of exercise training modality on serum brain derived neurotrophic factor levels in individuals with type 2 diabetes. PLoS One. 2012, 7 (8): e42785-10.1371\u002Fjournal.pone.0042785.\nKrabbe KS, Nielsen AR, Krogh-Madsen R, Plomgaard P, Rasmussen P: Brain-derived neurotrophic factor (BDNF) and type 2 diabetes. Diabetologia. 2007, 50 (2): 431-8. 10.1007\u002Fs00125-006-0537-4.\nEngum A: The role of depression and anxiety in onset of diabetes in a large population-based study. J Psychosom Res. 2007, 62 (1): 31-8. 10.1016\u002Fj.jpsychores.2006.07.009.\nWang XD: Psychological assessment scale manual. 1999, Beijing: Chinese Mental Health Journal press, 200-02.\nZhang B, Fokkema M, Cuijpers P, Li J, Smits N, Beekman A: Measurement invariance of the Center for Epidemiological Studies Depression Scale (CES-D) among Chinese and Dutch elderly. BMC Med Res Methodol. 2011, 11: 74-10.1186\u002F1471-2288-11-74.\nRadlof LS: The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977, 1: 385-401. 10.1177\u002F014662167700100306.\nChiu S, Webber MP, Zeig-Owens R, Gustave J, Lee R: Validation of the Center for Epidemiologic Studies Depression Scale in screening for major depressive disorder among retired firefighters exposed to the World Trade Center disaster. J Affect Disord. 2010, 121: 212-9. 10.1016\u002Fj.jad.2009.05.028.\nHuang FY, Chung H, Kroenke K, Delucchi KL, Spitzer RL: Using the Patient Health Questionnaire-9 to measure depression among racially and ethnically diverse primary care patients. J Gen Intern Med. 2006, 21 (6): 547-52. 10.1111\u002Fj.1525-1497.2006.00409.x.\nVerhagen M, van der Meij A, van Deurzen PA, Janzing JG, Arias-Vásquez A, Buitelaar JK: Meta-analysis of the BDNF Val66Met polymorphism in major depressive disorder: effects of gender and ethnicity. Mol Psychiatry. 2010, 15 (3): 260-71. 10.1038\u002Fmp.2008.109.\nKnol MJ, Heerdink ER, Egberts AC, Geerlings MI, Gorter KJ: Depressive symptoms in subjects with diagnosed and undiagnosed type 2 diabetes. Psychosom Med. 2007, 69 (4): 300-5. 10.1097\u002FPSY.0b013e31805f48b9.\nChen ZY, Ieraci A, Teng H, Dall H, Meng CX, Herrera DG: Sortilin controls intracellular sorting of brain-derived neurotrophic factor to the regulated secretory pathway. J Neurosci. 2005, 25: 156-6166.\nLustman PJ, Anderson RJ, Freedland KE, de Groot M, Carney RM, Clouse RE: Depression and poor glycemic control: a meta-analytic review of the literature. Diabetes Care. 2000, 23 (7): 934-42. 10.2337\u002Fdiacare.23.7.934.\nLiu Y, Maier M, Hao Y, Chen Y, Qin Y, Huo R: Factors related to quality of life for patients with type 2 diabetes with or without depressive symptoms - results from a community-based study in China. J Clin Nurs. 2013, 22 (1–2): 80-8.\nToalson P, Ahmed S, Hardy T, Kabinoff G: The Metabolic Syndrome in Patients With Severe Mental Illnesses. Prim Care Companion J Clin Psychiatry. 2004, 6 (4): 152-158. 10.4088\u002FPCC.v06n0402.\nGonzalez JS, Safren SA, Cagliero E, Wexler DJ, Delahanty L: Depression, self-care, and medication adherence in type 2 diabetes: relationships across the full range of symptom severity. Diabetes Care. 2007, 30 (9): 2222-7. 10.2337\u002Fdc07-0158.\nWeissman MM, Bland RC, Canino GJ, Faravelli C, Greenwald S, Hwu HG: Cross-national epidemiology of major depression and bipolar disorder. JAMA. 1996, 276: 293-299. 10.1001\u002Fjama.1996.03540040037030.\nBecker JB, Monteggia LM, Perrot-Sinal TS, Romeo RD, Taylor JR, Yehuda R: Stress and disease: is being female a predisposing factor?. J Neurosci. 2007, 27: 11851-11855. 10.1523\u002FJNEUROSCI.3565-07.2007.\nCahill L: Why sex matters for neuroscience. Nat Rev Neurosci. 2006, 7: 477-484. 10.1038\u002Fnrn1909.\nAbolfotouh MA, Daffallah AA, Khan MY, Khattab MS, Abdulmoneim I: Psychosocial assessment of geriatric subjects in Abha City. Saudi Arabia. East Mediterr Health J. 2001, 7 (3): 481-91.\nEisses AM, Kluiter H, Jongenelis K, Pot AM, Beekman AT, Ormel J: Risk indicators of depression in residential homes. Int J Geriatr Psychiatry. 2004, 19 (7): 634-40. 10.1002\u002Fgps.1137.",{"EN":483},"Brain-derived neurotrophic factor (BDNF) has been implicated in the pathogenesis of major depression. Individuals with type 2 diabetes (T2DM) have a high prevalence of major depression and low levels of BDNF. We therefore explored whether the BDNF Val66Met polymorphism is associated with co-morbid depression and whether depression affects the serum levels of BDNF in a Han Chinese subjects with T2DM. A Total of 296 T2DM patients and 70 healthy volunteers (Health control, HC group) were recruited in this study. T2DM patients were divided into two subgroups: depressive diabetes group (DDM group, n = 64) and non-depressive diabetes group (NDDM group, n = 232), according to the presence or the absence of depression assessed by Center for Epidemiologic Studies Depression Scale (CES-D) and Patient Health Questionnaire-9 (PHQ-9). Val66Met polymorphism was detected by polymerase chain reaction-restriction fragment length polymorphism analysis (PCR-RFLP). Serum BDNF levels were measured by ELISA kit. In this study, 21.6% (64\u002F296) patients with T2DM had depression. The BDNF Val66Met genotype distributions were statistically different among the three groups (χ2 = 7.39, p \u003C 0.05). DDM group carried the highest frequencies of Met allele (53.9%) compared to HC group (39.3%) and NDDM group (38.8%). Subjects with Met\u002FMet had lowest serum BDNF levels (76.59 ± 5.12 pg\u002Fml, F = 7.39, p \u003C 0.05) compared to subjects with Val\u002FMet (79.04 ± 5.19 pg\u002Fml) and Val\u002FVal (83.83 ± 3.97 pg\u002Fml). Within T2DM group, it was also observed that the serum BDNF levels in DDM group were significantly lower than those in NDDM group (76.67 ± 5.35 vs. 79.84 ± 3.97 pg\u002Fml, p \u003C 0.05). In type 2 diabetes subjects, BDNF serum levels were significant correlations with genotypes (r = −0.346, p \u003C 0.01), depression scores (r = −0.486, p \u003C 0.01) and HbA1c (r = −0.168, p \u003C 0.05). After adjustment for gender, HbA1c, BMI and numbers of complications, BDNF Val\u002FMet genotype distributions (OR = 2.105, p \u003C 0.05) and decreased serum BDNF levels (OR = 0.835, p \u003C 0.01) were independently associated with depression in T2DM. The BDNF Val66Met polymorphism might be implicated in the pathogenesis of depression in T2DM by decreasing serum BDNF levels in Han Chinese Subjects.",{"EN":485},"Functional Val66Met polymorphism of Brain-derived neurotrophic factor in type 2 diabetes with depression in Han Chinese subjects",{"VOID":487},"10.1186\u002F1744-9081-9-34","https:\u002F\u002Fbehavioralandbrainfunctions.biomedcentral.com\u002Farticles\u002F10.1186\u002F1744-9081-9-34",[490,505,517,529,541,553,565],{"id":491,"sortIndex":140,"researcher":20,"roles":492,"affiliations":493,"properties":502},"dc876a25-d1ec-47c0-88fd-74a72388aebd",[167],[494],{"id":20,"sortIndex":21,"affiliation":495,"properties":20},{"id":496,"createTime":497,"updateTime":497,"relativeEntities":498,"slug":20,"properties":499,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"b783cdbf-5e12-486c-961d-0148422b8816","2023-12-13T05:01:55.414+00:00",[],{"title":500},{"VI":501},"2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Key Laboratory of Hormone and Development (Ministry of Health), Metabolic Disease Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China",{"title":503},{"VI":504},"Chun-Jun Li",{"id":506,"sortIndex":136,"researcher":20,"roles":507,"affiliations":508,"properties":514},"f5a790f8-8cbe-4f0d-97f5-96c776c8fa76",[167],[509],{"id":20,"sortIndex":21,"affiliation":510,"properties":20},{"id":496,"createTime":497,"updateTime":497,"relativeEntities":511,"slug":20,"properties":512,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":513},{"VI":501},{"title":515},{"VI":516},"Bao-Cheng 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SR, Menzies L, Hampshire A, Suckling J, Fineberg NA, del Campo N, Aitken M, Craig K, Owen AM, Bullmore ET, Robbins TW, Sahakian BJ: Orbitofrontal dysfunction in patients with obsessive-compulsive disorder and their unaffected relatives. Science. 2008, 321: 421-422. 10.1126\u002Fscience.1154433.\nSaxena S, Bota RG, Brody AL: Brain-behavior relationships in obsessive-compulsive disorder. Semin Clin Neuropsychiatry. 2001, 6: 82-101. 10.1053\u002Fscnp.2001.21833.\nRotge JY, Guehl D, Dilharreguy B, Cuny E, Tignol J, Bioulac B, Allard M, Burbaud P, Aouizerate B: Provocation of obsessive-compulsive symptoms: a quantitative voxel-based meta-analysis of functional neuroimaging studies. J Psychiatry Neurosci. 2008, 33: 405-412.\nLacerda AL, Dalgalarrondo P, Caetano D, Camargo EE, Etchebehere EC, Soares JC: Elevated thalamic and prefrontal regional cerebral blood flow in obsessive-compulsive disorder: a SPECT study. Psychiatry Res. 2003, 123: 125-134. 10.1016\u002FS0925-4927(03)00061-1.\nSaxena S, Rauch SL: Functional neuroimaging and the neuroanatomy of obsessive-compulsive disorder. Psychiatr Clin North Am. 2000, 23: 563-586. 10.1016\u002FS0193-953X(05)70181-7.\nBusatto GF, Zamignani DR, Buchpiguel CA, Garrido GE, Glabus MF, Rocha ET, Maia AF, Rosario-Campos MC, Campi Castro C, Furuie SS, Gutierrez MA, McGuire PK, Miguel EC: A voxel-based investigation of regional cerebral blood flow abnormalities in obsessive-compulsive disorder using single photon emission computed tomography (SPECT). Psychiatry Res. 2000, 99: 15-27. 10.1016\u002FS0925-4927(00)00050-0.\nHou J, Wu W, Lin Y, Wang J, Zhou D, Guo J, Gu S, He M, Ahmed S, Hu J, Qu W, Li H: Localization of cerebral functional deficits in patients with obsessive-compulsive disorder: a resting-state fMRI study. J Affect Disord. 2012, 138: 313-321. 10.1016\u002Fj.jad.2012.01.022.\nVaswani M, Linda FK, Ramesh S: Role of selective serotonin reuptake inhibitors in psychiatric disorders: a comprehensive review. Prog Neuropsychopharmacol Biol Psychiatry. 2003, 27: 85-102. 10.1016\u002FS0278-5846(02)00338-X.\nThomsen PH, Ebbesen C, Persson C: Long-term experience with citalopram in the treatment of adolescent OCD. J Am Acad Child Adolesc Psychiatry. 2001, 40: 895-902. 10.1097\u002F00004583-200108000-00010.\nSaxena S, Brody AL, Ho ML, Alborzian S, Maidment KM, Zohrabi N, Ho MK, Huang SC, Wu HM, Baxter LR: Differential cerebral metabolic changes with paroxetine treatment of obsessive-compulsive disorder vs major depression. Arch Gen Psychiatry. 2002, 59: 250-261. 10.1001\u002Farchpsyc.59.3.250.\nNakatani E, Nakagawa A, Nakao T, Yoshizato C, Nabeyama M, Kudo A, Isomura K, Kato N, Yoshioka K, Kawamoto M: A randomized controlled trial of Japanese patients with obsessive-compulsive disorder–effectiveness of behavior therapy and fluvoxamine. Psychother Psychosom. 2005, 74: 269-276. 10.1159\u002F000086317.\nKang DH, Kwon JS, Kim JJ, Youn T, Park HJ, Kim MS, Lee DS, Lee MC: Brain glucose metabolic changes associated with neuropsychological improvements after 4 months of treatment in patients with obsessive-compulsive disorder. Acta Psychiatr Scand. 2003, 107: 291-297. 10.1034\u002Fj.1600-0447.2003.00070.x.\nBloch MH, Landeros-Weisenberger A, Kelmendi B, Coric V, Bracken MB, Leckman JF: A systematic review: antipsychotic augmentation with treatment refractory obsessive-compulsive disorder. Mol Psychiatry. 2006, 11: 622-632. 10.1038\u002Fsj.mp.4001823.\nPallanti S, Quercioli L: Treatment-refractory obsessive-compulsive disorder: methodological issues, operational definitions and therapeutic lines. Prog Neuropsychopharmacol Biol Psychiatry. 2006, 30: 400-412. 10.1016\u002Fj.pnpbp.2005.11.028.\nBystritsky A, Ackerman DL, Rosen RM, Vapnik T, Gorbis E, Maidment KM, Saxena S: Augmentation of serotonin reuptake inhibitors in refractory obsessive-compulsive disorder using adjunctive olanzapine: a placebo-controlled trial. J Clin Psychiatry. 2004, 65: 565-568. 10.4088\u002FJCP.v65n0418.\nMcDougle CJ, Epperson CN, Pelton GH, Wasylink S, Price LH: A double-blind, placebo-controlled study of risperidone addition in serotonin reuptake inhibitor-refractory obsessive-compulsive disorder. Arch Gen Psychiatry. 2000, 57: 794-801. 10.1001\u002Farchpsyc.57.8.794.\nSumitani S, Harada M, Kubo H, Ohmori T: Proton magnetic resonance spectroscopy reveals an abnormality in the anterior cingulate of a subgroup of obsessive-compulsive disorder patients. Psychiatry Res. 2007, 154: 85-92. 10.1016\u002Fj.pscychresns.2006.02.003.\nBuchsbaum MS, Hollander E, Pallanti S, Baldini Rossi N, Platholi J, Newmark R, Bloom R, Sood E: Positron emission tomography imaging of risperidone augmentation in serotonin reuptake inhibitor-refractory patients. Neuropsychobiology. 2006, 53: 157-168. 10.1159\u002F000093342.\nSaxena S, Brody AL, Maidment KM, Dunkin JJ, Colgan M, Alborzian S, Phelps ME, Baxter LR: Localized orbitofrontal and subcortical metabolic changes and predictors of response to paroxetine treatment in obsessive-compulsive disorder. Neuropsychopharmacology. 1999, 21: 683-693. 10.1016\u002FS0893-133X(99)00082-2.\nHendler T, Goshen E, Tzila Zwas S, Sasson Y, Gal G, Zohar J: Brain reactivity to specific symptom provocation indicates prospective therapeutic outcome in OCD. Psychiatry Res. 2003, 124: 87-103. 10.1016\u002FS0925-4927(03)00091-X.\nRauch SL, Shin LM, Dougherty DD, Alpert NM, Fischman AJ, Jenike MA: Predictors of fluvoxamine response in contamination-related obsessive compulsive disorder: a PET symptom provocation study. Neuropsychopharmacology. 2002, 27: 782-791. 10.1016\u002FS0893-133X(02)00351-2.\nHo Pian KL, van Megen HJ, Ramsey NF, Mandl R, van Rijk PP, Wynne HJ, Westenberg HG: Decreased thalamic blood flow in obsessive-compulsive disorder patients responding to fluvoxamine. Psychiatry Res. 2005, 138: 89-97. 10.1016\u002Fj.pscychresns.2004.12.003.\nNabeyama M, Nakagawa A, Yoshiura T, Nakao T, Nakatani E, Togao O, Yoshizato C, Yoshioka K, Tomita M, Kanba S: Functional MRI study of brain activation alterations in patients with obsessive-compulsive disorder after symptom improvement. Psychiatry Res. 2008, 163: 236-247. 10.1016\u002Fj.pscychresns.2007.11.001.\nBrewer WJ, Yucel M, Harrison BJ, McGorry PD, Olver J, Egan GF, Velakoulis D, Pantelis C: Increased prefrontal cerebral blood flow in first-episode schizophrenia following treatment: longitudinal positron emission tomography study. Aust N Z J Psychiatry. 2007, 41: 129-135. 10.1080\u002F00048670601109899.\nNarumoto J, Ueda H, Tsuchida H, Yamashita T, Kitabayashi Y, Fukui K: Regional cerebral blood flow changes in a patient with delusional parasitosis before and after successful treatment with risperidone: a case report. Prog Neuropsychopharmacol Biol Psychiatry. 2006, 30: 737-740. 10.1016\u002Fj.pnpbp.2005.11.029.",{"EN":626},"To analyze the correlation between the pharmacotherapy response and the characteristics of the pre-treatment regional cerebral blood flow (rCBF) in patients with obsessive-compulsive disorder (OCD). Single-photon emission-computed tomography (SPECT) was used to determine the pre-treatment rCBF in 30 OCD patients and 30 normal controls. Based on their clinical remission response, the subjects were divided into two groups: selective serotonin reuptake inhibitors (SSRIs) and SSRIs plus quetiapine. The subjects with clinical remission response were identified after treatment for a period of 24 weeks, and the rCBF imaging data were processed using statistical parametric mapping (SPM) software with two-sample Z-tests. Nineteen OCD patients who achieved clinical remission were included in the study. Increased rCBF in forebrain regions, including the frontal lobe, cingulate gyrus, hypothalamus, and basal ganglia, was found in 11 responders to SSRIs compared to normal control patients. The eight SSRI plus quetiapine responders exhibited a decrease in rCBF within posterior brain regions, including the parietal lobe, cerebellar vermis, and occipital lobe, and an increase in rCBF in the frontal lobe, thalamus, basal ganglia, and cerebellum tonsil compared to normal control patients. The characteristics of increased rCBF in forebrain regions and decreased rCBF in posterior brain regions before treatment of OCD patients was a potentially predictor of treatment response to guide treatment options.",{"EN":628},"Pharmacotherapy response and regional cerebral blood flow characteristics in patients with obsessive-compulsive disorder",{"VOID":630},"10.1186\u002F1744-9081-9-31","2024-12-31T23:53:07.217+00:00","https:\u002F\u002Fbehavioralandbrainfunctions.biomedcentral.com\u002Farticles\u002F10.1186\u002F1744-9081-9-31",[634,649,664,676,691],{"id":635,"sortIndex":140,"researcher":20,"roles":636,"affiliations":637,"properties":646},"37599899-2641-42b3-8455-b1d5ab9cc120",[167],[638],{"id":20,"sortIndex":21,"affiliation":639,"properties":20},{"id":640,"createTime":641,"updateTime":641,"relativeEntities":642,"slug":20,"properties":643,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"b0f6fd74-0a3c-4f6f-91e6-7d75c7d16d8b","2024-01-07T01:38:12.052+00:00",[],{"title":644},{"VI":645},"Department of Psychology, Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China",{"title":647},{"VI":648},"Hong 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MJ, Rudy JW, Levy WB, O'Reilly RC: When Logic Fails: Implicit Transitive Inference in Humans. Mem Cognit. 2005, 33: 742-50.\nvon Fersen L, Wynne CDL, Delius JD, Staddon JER: Transitive inference in pigeons. J Exp Psychol Anim Behav Proc. 1991, 17: 334-341. 10.1037\u002F0097-7403.17.3.334.\nWynne CD: A minimal model of transitive inference. Models of Action. Edited by: Wynne CD, Staddon JE. 1998, New Jersey: Lawrence Erlbaum Associates, 269-307.\nFrank MJ, Rudy JW, O'Reilly RC: Transitivity, flexibility, conjunctive representations and the hippocampus: II. A Computational analysis. Hippocampus. 2003, 13: 341-54. 10.1002\u002Fhipo.10084.\nSiemann M, Delius JD: Algebraic learning and neural network models for transitive and non-transitive responding. Eur J Cogn Psychol. 1998, 10: 307-334. 10.1080\u002F713752279.\nFrank MJ: Dynamic dopamine modulation in the basal ganglia: A neurocomputational account of cognitive deficits in medicated and non-medicated Parkinsonism. 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Hippocampus. 2004, 14: 5-8. 10.1002\u002Fhipo.10182.\nGreene AJ, Gross WL, Elsinger CL, Rao SM: An FMRI analysis of the human hippocampus: inference, context, and task awareness. J Cogn Neurosci. 2006, 18 (7): 1156-1173. 10.1162\u002Fjocn.2006.18.7.1156.",{"EN":746},"The transitive inference (TI) task assesses the ability to generalize learned knowledge to new contexts, and is thought to depend on the hippocampus (Dusek & Eichenbaum, 1997). Animals or humans learn in separate trials to choose stimulus A over B, B over C, C over D and D over E, via reinforcement feedback. Transitive responding based on the hierarchical structure A > B > C > D > E is then tested with the novel BD pair. We and others have argued that successful BD performance by animals – and even humans in some implicit studies – can be explained by simple reinforcement learning processes which do not depend critically on the hippocampus, but rather on the striatal dopamine system. We recently showed that the benzodiazepene midazolam, which is thought to disrupt hippocampal function, profoundly impaired human memory recall performance but actually enhanced implicit TI performance (Frank, O'Reilly & Curran, 2006). We posited that midazolam biased participants to recruit striatum during learning due to dysfunctional hippocampal processing, and that this change actually supported generalization of reinforcement values. Greene (2007) questions the validity of our pharmacological assumptions and argues that our conclusions are unfounded. Here we stand by our original hypothesis, which remains the most parsimonious account of the data, and is grounded by multiple lines of evidence.",{"EN":748},"Midazolam, hippocampal function, and transitive inference: Reply to Greene",{"VOID":750},"10.1186\u002F1744-9081-4-5","https:\u002F\u002Fbehavioralandbrainfunctions.biomedcentral.com\u002Farticles\u002F10.1186\u002F1744-9081-4-5",[753,768,780],{"id":754,"sortIndex":212,"researcher":20,"roles":755,"affiliations":756,"properties":765},"260fa123-af6b-48c7-a6a8-af0aa6c62a36",[167],[757],{"id":20,"sortIndex":21,"affiliation":758,"properties":20},{"id":759,"createTime":760,"updateTime":760,"relativeEntities":761,"slug":20,"properties":762,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"1b192f0f-bbba-43c3-a33a-424caf9b1b22","2024-01-04T13:14:16.957+00:00",[],{"title":763},{"VI":764},"Dept of Psychology and Center for Neuroscience, University of Colorado at Boulder, Boulder, USA",{"title":766},{"VI":767},"Tim Curran",{"id":769,"sortIndex":228,"researcher":20,"roles":770,"affiliations":771,"properties":777},"d8f69106-64b9-44d9-bc64-a7943d0770f4",[167],[772],{"id":20,"sortIndex":21,"affiliation":773,"properties":20},{"id":759,"createTime":760,"updateTime":760,"relativeEntities":774,"slug":20,"properties":775,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":776},{"VI":764},{"title":778},{"VI":779},"Randall C O'Reilly",{"id":781,"sortIndex":21,"researcher":20,"roles":782,"affiliations":783,"properties":792},"d242431e-02b1-427f-8b52-b61b3da6574b",[167],[784],{"id":20,"sortIndex":21,"affiliation":785,"properties":20},{"id":786,"createTime":787,"updateTime":787,"relativeEntities":788,"slug":20,"properties":789,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"25d2a7d4-7cf3-4034-a1e8-0a704a952edd","2024-01-04T13:14:16.932+00:00",[],{"title":790},{"VI":791},"Dept of Psychology and Program in Neuroscience, University of Arizona, Tucson, USA",{"title":793},{"VI":794},"Michael J Frank",{"url":751,"publisher":796,"properties":824},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":797,"slug":10,"properties":798,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":802,"manageAffiliations":803,"indexDatabases":804,"url":20,"thumbnailPath":20,"statistic":819,"gsStatistic":20,"type":143,"analyzePriority":20},[],{"issn":799,"title":800,"url":801},{"VOID":13},{"EN":15},{"VOID":17},[],[],[805,812],{"id":80,"indexDatabase":806,"url":95,"indexYears":20,"academicFieldIds":811,"indexDatabaseRanking":20},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":807,"label":808,"description":809,"key":91,"publicationTags":810,"standard":20},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97,98],{"id":100,"indexDatabase":813,"url":113,"indexYears":114,"academicFieldIds":818,"indexDatabaseRanking":120},{"id":102,"createTime":103,"updateTime":104,"relativeEntities":814,"label":815,"description":816,"key":110,"publicationTags":817,"standard":20},[],{"EN":107,"VI":107},{"EN":107,"VI":109},[112],[116,117,118,119],{"impactFactor":21,"impactFactorByYear":820,"i10Index":21,"i10IndexLast5Year":21,"totalPublication":123,"totalPublicationByYear":821,"totalCitation":21,"totalCitationByYear":822,"totalCitationPerPublication":21,"totalCitationPerPublicationByYear":823,"hindexLast5Year":21,"hindex":21},{},{"2005":125,"2006":126,"2007":127,"2008":128,"2009":129,"2010":130,"2011":131,"2012":132,"2013":126,"2014":133,"2015":133,"2016":125,"2017":134,"2018":134,"2019":135,"2020":136,"2021":137,"2022":138,"2023":139,"2024":140},{},{},{"volume":825,"pages":827},{"VOID":826},"4",{"VOID":828},"1-5","2008-01-30",2008,{"id":832,"createTime":833,"updateTime":834,"relativeEntities":835,"slug":836,"properties":837,"entityType":161,"verifyStatus":292,"verifyTime":834,"verifyNote":293,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":846,"fullTextUrl":20,"authors":847,"publicationType":239,"publisherRelationship":919,"citationCount":20,"citationInfo":20,"publishDate":952,"publishYear":275,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":276},"b243689b-f16f-402c-9d5d-fa46b7b80a75","2023-12-10T01:50:48.197+00:00","2025-01-17T23:46:12.193+00:00",[],"Attention-deficit-hyperactivity-disorder-ADHD-and-glial-integrity-S100B-cytokines-and-kynurenine-metabolism-effects-of-medication",{"references":838,"abstract":840,"title":842,"doi":844},{"VOID":839},"Kuntsi J, Andreou P, Ma J, Börger NA, Meere van der JJ: Testing assumptions for endophenotype studies in ADHD: Reliability and validity of tasks in a general population sample. 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Biol Psychiatry. 2001, 50: 151-158. 10.1016\u002FS0006-3223(01)01173-8.\nBalosini V, Monzani A, Rapa A, Vivenza D, Caristo E, Oderda G: Interleukin-10 and transforming growth factor-ß1 in cord blood: relationship with paternal allergy and cesarean section. Acta Paediatr. 2009, 98: 812-816. 10.1111\u002Fj.1651-2227.2008.01194.x.\nLittle FF, Lynch E, Fine G, Center DM, Cruikshank WW: Tumor necrosis factor-alpha-induced synthesis of interleukin-16 in airway epithelial cells: priming for serotonin stimulation. Am J Respir Cell Mol Biol. 2003, 28: 354-362. 10.1165\u002Frcmb.2002-0043OC.\nDeng JM, Shi HZ: Interleukin-16 in asthma. Chin Med J. 2006, 119: 1017-1025.\nRapp DJ: Does diet affect hypersensitivity?. J Learn Disabil. 1978, 11: 56-62. 10.1177\u002F002221947801100611.\nTryphonas H, Trites RL: Food allergy in children with hyperactivity, learning disabilities and\u002For minimal brain dysfunction. Ann Allergy. 1979, 42: 22-27.\nEgger J, Carter CM, Graham PJ, Gumley D, Soothill JF: Controlled trial of oligoantigenic treatment in the hyperkinetic syndrome. Lancet. 1985, 14: 540-545. 10.1016\u002FS0140-6736(85)91206-1.\nBlank R, Remschmidt H: Hyperkinetic syndrome: the role of allergy among psychological and neurological factors. Eur Child Adolesc Psychiatry. 1994, 3: 220-228. 10.1007\u002FBF01978111.\nMiller AH, Maletic V, Raison CL: Inflammation and Its Discontents: The Role of Cytokines in the Pathophysiology of Major Depression. Biol Psychiatry. 2009, 65: 732-741. 10.1016\u002Fj.biopsych.2008.11.029.\nOades RD, Dauvermann MR, Schwarz MJ, Myint AM: Does glial function underlie ADHD variability? Evidence from measures of S100B, interleukins, tryptophan metabolism and the kynurenine metabolic pathway. Neurol Psychiat Brain Res. 2009, 44-Supplement 1\nBrauns H, Haun D, Steinmann S: The construction of an internationally comparable classification by class. Erwerbsstatistische Besonderheiten am Beispiel von Labour Force Surveys der Bundesrepublik Deutschland, Frankreichs, Großbritanniens und Ungarns, Mannheim, Germany. 1997",{"EN":841},"Children with attention-deficit\u002Fhyperactivity disorder (ADHD) show a marked temporal variability in their display of symptoms and neuropsychological performance. This could be explained in terms of an impaired glial supply of energy to support neuronal activity. We pursued one test of the idea with measures of a neurotrophin reflecting glial integrity (S100B) and the influences of 8 cytokines on the metabolism of amino-acids, and of tryptophan\u002Fkynurenine to neuroprotective or potentially toxic products that could modulate glial function. Serum samples from 21 medication-naïve children with ADHD, 21 typically-developing controls, 14 medicated children with ADHD and 7 healthy siblings were analysed in this preliminary exploration of group differences and associations. There were no marked group differences in levels of S100B, no major imbalance in the ratios of pro- to anti-inflammatory interleukins nor in the metabolism of kynurenine to toxic metabolites in ADHD. However, four trends are described that may be worthy of closer examination in a more extensive study. First, S100B levels tended to be lower in ADHD children that did not show oppositional\u002Fconduct problems. Second, in medicated children raised interleukin levels showed a trend to normalisation. Third, while across all children the sensitivity to allergy reflected increased levels of IL-16 and IL-10, the latter showed a significant inverse relationship to measures of S100B in the ADHD group. Fourthly, against expectations healthy controls tended to show higher levels of toxic 3-hydroxykynurenine (3 HK) than those with ADHD. Thus, there were no clear signs (S100B) that the glial functions were compromised in ADHD. However, other markers of glial function require examination. Nonetheless there is preliminary evidence that a minor imbalance of the immunological system was improved on medication. Finally, if lower levels of the potentially toxic 3 HK in ADHD children were confirmed this could reflect a reduction of normal pruning processes in the brain that would be consistent with delayed maturation (supported here by associations with amino-acid metabolism) and a reduced metabolic source of energy.",{"EN":843},"Attention-deficit hyperactivity disorder (ADHD) and glial integrity: S100B, cytokines and kynurenine metabolism - effects of medication",{"VOID":845},"10.1186\u002F1744-9081-6-29","http:\u002F\u002Fbehavioralandbrainfunctions.biomedcentral.com\u002Farticles\u002F10.1186\u002F1744-9081-6-29",[848,863,878,890,907],{"id":849,"sortIndex":136,"researcher":20,"roles":850,"affiliations":851,"properties":860},"ce991c5c-a7d5-4b45-bc8d-54832a54cb71",[167],[852],{"id":20,"sortIndex":21,"affiliation":853,"properties":20},{"id":854,"createTime":855,"updateTime":855,"relativeEntities":856,"slug":20,"properties":857,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"daefe45e-d75f-4778-bdda-57393546f7d8","2023-12-10T01:50:48.276+00:00",[],{"title":858},{"VI":859},"Laboratory for Psychoneuroimmunology, Ludwig Maximillian's University Psychiatric Hospital, Munich, Germany",{"title":861},{"VI":862},"Markus J Schwarz",{"id":864,"sortIndex":212,"researcher":20,"roles":865,"affiliations":866,"properties":875},"87fb8f44-2578-4cea-b13b-f0988613652c",[167],[867],{"id":20,"sortIndex":21,"affiliation":868,"properties":20},{"id":869,"createTime":870,"updateTime":870,"relativeEntities":871,"slug":20,"properties":872,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"e9395f9f-9cdb-4d39-a40d-dd14f6654c13","2024-02-09T01:01:03.097+00:00",[],{"title":873},{"VI":874},"Child and Adolescent Psychiatry, University of Bern, Bern, Switzerland",{"title":876},{"VI":877},"Benno G Schimmelmann",{"id":879,"sortIndex":140,"researcher":20,"roles":880,"affiliations":881,"properties":887},"3a668b36-636a-4520-8406-d06a5de58816",[167],[882],{"id":20,"sortIndex":21,"affiliation":883,"properties":20},{"id":854,"createTime":855,"updateTime":855,"relativeEntities":884,"slug":20,"properties":885,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":886},{"VI":859},{"title":888},{"VI":889},"Aye-Mu Myint",{"id":891,"sortIndex":228,"researcher":20,"roles":892,"affiliations":893,"properties":904},"6db3b5c8-27ad-4869-95dd-25bd0e718df6",[167],[894],{"id":20,"sortIndex":21,"affiliation":895,"properties":20},{"id":896,"createTime":897,"updateTime":898,"relativeEntities":899,"slug":900,"properties":901,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"503072c7-be61-444a-9826-3a548d8fc4b5","2023-12-10T01:50:48.236+00:00","2024-09-21T07:13:46.152+00:00",[],"Clinic-for-Child-and-Adolescent-Psychiatry-and-Psychotherapy-University-of-Duisburg-Essen-Essen-Germany",{"title":902},{"VI":903},"Clinic for Child and Adolescent Psychiatry and Psychotherapy, University of Duisburg-Essen, Essen, Germany",{"title":905},{"VI":906},"Maria R 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Alcohol. 1998, 15: 311-314. 10.1016\u002FS0741-8329(97)00135-3.\nRistuccia RC, Spear LP: Autonomic responses to ethanol in adolescent and adult rats: a dose–response analysis. Alcohol. 2008, 42: 623-629. 10.1016\u002Fj.alcohol.2008.08.002.\nMarkwiese BJ, Acheson SK, Levin ED, Wilson WA, Swartzwelder HS: Differential effects of ethanol on memory in adolescent and adult rats. Alcohol Clin Exp Res. 1998, 22: 416-421. 10.1111\u002Fj.1530-0277.1998.tb03668.x.\nLand C, Spear NE: Ethanol impairs memory of a simple discrimination in adolescent rats at doses that leave adult memory unaffected. Neurobiol Learn Mem. 2004, 81: 75-81. 10.1016\u002Fj.nlm.2003.08.005.\nRajendran P, Spear LP: The effects of ethanol on spatial and nonspatial memory in adolescent and adult rats studied using an appetitive paradigm. Ann N Y Acad Sci. 2004, 1021: 441-414. 10.1196\u002Fannals.1308.060.\nChin VS, Berry RB, Matthews DB: Adolescent rats are less sensitive than adult rats to the spatial memory impairing effects of acute ethanol. Alcoholism. Clin Exper Res. 2009, 33: 216A-\nPascual M, Blanco AM, Cauli O, Miñarro J, Guerri C: Intermittent ethanol exposure induces inflammatory brain damage and causes long-term behavioural alterations in adolescent rats. Eur J Neurosci. 2007, 25: 541-550. 10.1111\u002Fj.1460-9568.2006.05298.x.\nRibeiro Do Couto B, Rodríguez-Arias M, Fuentes S, Gagliano H, Armario A, Miñarro J, Aguilar MA: Adolescent pre-exposure to ethanol or MDMA prolongs the conditioned rewarding effects of MDMA. Physiol Behav. 2011, 103: 585-593. 10.1016\u002Fj.physbeh.2011.02.012.\nRibeiro Do Couto B, Daza-Losada M, Rodríguez-Arias M, Nadal R, Guerri C, Summavielle T, Miñarro J, Aguilar MA: Adolescent pre-exposure to ethanol and 3,4-methylenedioxymethylamphetamine (MDMA) increases conditioned rewarding effects of MDMA and drug-induced reinstatement. Addict Biol. 2011, 10.1111\u002Fj.1369-1600.2011.00382.x. in press\nRodríguez-Arias M, Maldonado C, Vidal-Infer A, Guerri C, Aguilar MA, Miñarro J: Intermittent ethanol exposure increases long-lasting behavioral and neurochemical effects of MDMA in adolescent mice. Psychopharmacology. 2011, 218: 429-442. 10.1007\u002Fs00213-011-2329-x.\nDaza-Losada M, Ribeiro Do Couto B, Manzanedo C, Aguilar MA, Rodríguez-Arias M, Miñarro J: Rewarding effects and reinstatement of MDMA-induced CPP in adolescent mice. Neuropsychopharmacology. 2007, 32: 1750-1759. 10.1038\u002Fsj.npp.1301309.\nDaza-Losada M, Rodríguez-Arias M, Maldonado C, Aguilar MA, Miñarro J: Behavioural and neurotoxic long-lasting effects of MDMA plus cocaine in adolescent mice. Eur J Pharmacol. 2008, 590: 204-211. 10.1016\u002Fj.ejphar.2008.06.025.\nDaza-Losada M, Rodríguez-Arias M, Aguilar MA, Miñarro J: Effect of adolescent exposure to MDMA and cocaine on acquisition and reinstatement of morphine-induce CPP. Prog Neuropsychopharmacol Biol Psychiatry. 2008, 32: 701-709. 10.1016\u002Fj.pnpbp.2007.11.017.\nDaza-Losada M, Rodríguez-Arias M, Aguilar MA, Miñarro J: Acquisition and reinstatement of MDMA-induced conditioned place preference in mice pre-treated with MDMA or cocaine during adolescence. Addict Biol. 2009, 14: 447-456. 10.1111\u002Fj.1369-1600.2009.00173.x.\nDaza-Losada M, Rodríguez-Arias M, Maldonado C, Aguilar MA, Guerri C, Miñarro J: Acute behavioural and neurotoxic effects of MDMA plus cocaine in adolescent mice. Neurotoxicol Teratol. 2009, 31: 49-59. 10.1016\u002Fj.ntt.2008.07.005.\nManzanedo C, Rodríguez-Arias M, Daza-Losada M, Maldonado C, Aguilar MA, Miñarro J: Effect of the CB1 cannabinoid agonist WIN 55212–2 on the acquisition and reinstatement of MDMA-induced conditioned place preference in mice. Behav Brain Funct. 2010, 6: 19-10.1186\u002F1744-9081-6-19.\nTur JA, Puig MS, Pons A, Benito E: Alcohol consumption among school adolescents in Palma de Mallorca. Alcohol. 2003, 38: 243-248. 10.1093\u002Falcalc\u002Fagg061.\nGalsworthy MJ, Paya-Cano JL, Liu L, Monleón S, Gregoryan G, Fernandes C, Schalkwyk LC, Plomin R: Assessing reliability, heritability and general cognitive ability in a battery of cognitive tasks for laboratory mice. Behav Genet. 2005, 35: 675-692. 10.1007\u002Fs10519-005-3423-9.\nRabinovitch MS, Rosvold HE: A closed-field intelligence test for rats. Can J Psychol. 1951, 5: 122-128.\nHebb DO, Williams K: A method of rating animal intelligence. J Gen Psychol. 1946, 34: 59-65. 10.1080\u002F00221309.1946.10544520.\nKobayashi S, Ohashi Y, Ando S: Effects of enriched environments with different durations and starting times on learning capacity during aging in rats assessed by a refined procedure of the Hebb-Williams maze task. J Neurosci Res. 2002, 70: 340-346. 10.1002\u002Fjnr.10442.\nStanfor L, Brown RE: MHC-congenic mice (C57BL\u002F6 J and B6-H-2 K) show differences in speed but not accuracy in learning the Hebb-Williams Maze. Behav Brain Res. 2003, 144: 187-197. 10.1016\u002FS0166-4328(03)00093-7.\nPeña Y, Prunell M, Rotllant D, Armario A, Escorihuela RM: Enduring effects of environmental enrichment from weaning to adulthood on pituitary-adrenal function, pre-pulse inhibition and learning in male and female rats. Psychoneuroendocrinology. 2009, 34: 1390-1404. 10.1016\u002Fj.psyneuen.2009.04.019.\nThompson VB, Heiman J, Chambers JB, Benoit SC, Buesing WR, Norman MK, Norman AB, Lipton JW: Long-term behavioral consequences of prenatal MDMA exposure. Physiol Behav. 2009, 96: 593-601. 10.1016\u002Fj.physbeh.2008.12.013.\nHernandez-Rabaza V, Navarro-Mora G, Velazquez-Sanchez C, Ferragud A, Marin MP, Garcia-Verdugo JM, Renau-Piqueras J, Canales JJ: Neurotoxicity and persistent cognitive deficits induced by combined MDMA and alcohol exposure in adolescent rats. Addict Biol. 2010, 15: 413-423. 10.1111\u002Fj.1369-1600.2010.00259.x.\nAcheson SK, Ross EL, Swartzwelder HS: Age-independent and dose–response effects of ethanol on spatial memory in rats. Alcohol. 2001, 23: 167-175. 10.1016\u002FS0741-8329(01)00127-6.\nSilvers JM, Tokunaga S, Mittleman G, Matthews DB: Chronic intermittent injections of high-dose ethanol during adolescence produce metabolic, hypnotic, and cognitive tolerance in rats. Alcohol Clin Exp Res. 2003, 27: 1606-1612. 10.1097\u002F01.ALC.0000090141.66526.22.\nSilvers JM, Tokunaga S, Mittleman G, O'Buckley T, Morrow AL, Matthews DB: Chronic intermittent ethanol exposure during adolescence reduces the effect of ethanol challenge on hippocampal allopregnanolone levels and Morris water maze task performance. Alcohol. 2006, 39: 151-158. 10.1016\u002Fj.alcohol.2006.09.001.\nMatthews DB, Tinsley KL, Diaz-Granados JL, Tokunaga S, Silvers JM: Chronic intermittent exposure to ethanol during adolescence produces tolerance to the hypnotic effects of ethanol in male rats: a dose-dependent analysis. Alcohol. 2008, 42: 617-621. 10.1016\u002Fj.alcohol.2008.09.001.\nChin VS, Van Skike CE, Matthews DB: Effects of ethanol on hippocampal function during adolescence: a look at the past and thoughts on the future. Alcohol. 2010, 44: 3-14. 10.1016\u002Fj.alcohol.2009.10.015.\nGonzález-Burgos I, Feria-Velasco A: Serotonin\u002Fdopamine interaction in memory formation. Prog Brain Res. 2008, 172: 603-623.\nOlvera-Cortés ME, Anguiano-Rodríguez P, López-Vázquez MA, Alfaro JM: Serotonin\u002Fdopamine interaction in learning. Prog Brain Res. 2008, 172: 567-602.\nIzco M, Gutierrez-Lopez MD, Marchant I, O'Shea E, Colado MI: Administration of neurotoxic doses of MDMA reduces sensitivity to ethanol and increases GAT-1 immunoreactivity in mice striatum. Psychopharmacology. 2010, 207: 671-679. 10.1007\u002Fs00213-009-1699-9.\nFleming RL, Wilson WA, Swartzwelder HS: Magnitude and ethanol sensitivity of tonic GABAA receptor-mediated inhibition in dentate gyrus changes from adolescence to adulthood. J Neurophysiol. 2007, 97: 3806-3811. 10.1152\u002Fjn.00101.2007.\nHernández-López C, Farré M, Roset PN, Menoyo E, Pizarro N, Ortuño J, Torrens M, Camí J, de La Torre R: 3,4-Methylenedioxymethamphetamine (ecstasy) and alcohol interactions in humans: psychomotor performance, subjective effects, and pharmacokinetics. J Pharmacol Exp Ther. 2002, 300: 236-244. 10.1124\u002Fjpet.300.1.236.\nRiegert C, Wedekind F, Hamida SB, Rutz S, Rothmaier AK, Jones BC, Cassel JC, Jackisch R: Effects of ethanol and 3,4-methylenedioxymethamphetamine (MDMA) alone or in combination on spontaneous and evoked overflow of dopamine, serotonin and acetylcholine in striatal slices of the rat brain. Int J Neuropsychopharmacol. 2008, 11: 743-763.\nEaston N, Marsden CA: Ecstasy: are animal data consistent between species and can they translate to humans?. J Psychopharmacol. 2006, 20: 194-210. 10.1177\u002F0269881106061153.\nSchifano F: Chronic atypical psychosis associated with MDMA (\"ecstasy\") abuse. Lancet. 1991, 338: 1335-\nHenry JA: Ecstasy and the dance of death. BMJ. 1992, 305: 5-6. 10.1136\u002Fbmj.305.6844.5.\nGreen AR, Gabrielsson J, Marsden CA, Fone KC: MDMA: on the translation from rodent to human dosing. Psychopharmacology (Berl). 2009, 204: 375-378. 10.1007\u002Fs00213-008-1453-8.",{"EN":961},"Heavy binge drinking is increasingly frequent among adolescents, and consumption of 3,4-methylenedioxymethamphetamine (MDMA) is often combined with ethanol (EtOH). The long-lasting effects of intermittent exposure to EtOH and MDMA during adolescence on learning and memory were evaluated in adult mice using the Hebb-Williams maze. Adolescent OF1 mice were exposed to EtOH (1.25 g\u002Fkg) on two consecutive days at 48-h intervals over a 14-day period (from PD 29 to 42). MDMA (10 or 20 mg\u002Fkg) was injected twice daily at 4-h intervals over two consecutive days, and this schedule was repeated six days later (PD 33, 34, 41 and 42), resulting in a total of eight injections. Animals were initiated in the Hebb-Williams maze on PND 64. The concentration of brain monoamines in the striatum and hippocampus was then measured. At the doses employed, both EtOH and MDMA, administered alone or together, impaired learning in the Hebb-Williams maze, as treated animals required more time to reach the goal than their saline-treated counterparts. The groups treated during adolescence with EtOH, alone or plus MDMA, also presented longer latency scores and needed more trials to reach the acquisition criterion score. MDMA induced a decrease in striatal DA concentration, an effect that was augmented by the co-administration of EtOH. All the treatment groups displayed an imbalance in the interaction DA\u002Fserotonin. The present findings indicate that the developing brain is highly vulnerable to the damaging effects of EtOH and\u002For MDMA, since mice receiving these drugs in a binge pattern during adolescence exhibit impaired learning and memory in adulthood.",{"EN":963},"Effect of intermittent exposure to ethanol and MDMA during adolescence on learning and memory in adult mice",{"VOID":965},"10.1186\u002F1744-9081-8-32","https:\u002F\u002Fbehavioralandbrainfunctions.biomedcentral.com\u002Farticles\u002F10.1186\u002F1744-9081-8-32",[968,983,995,1007],{"id":969,"sortIndex":21,"researcher":20,"roles":970,"affiliations":971,"properties":980},"71d55c56-2982-4525-92f5-3b27d66cf277",[167],[972],{"id":20,"sortIndex":21,"affiliation":973,"properties":20},{"id":974,"createTime":975,"updateTime":975,"relativeEntities":976,"slug":20,"properties":977,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"69641cc3-fb09-4602-81e6-3a081e965d77","2023-12-07T23:39:51.691+00:00",[],{"title":978},{"VI":979},"Unidad de Investigación Psicobiología de las Drogodependencias, Departamento de Psicobiología, Facultad de Psicología, Universitat de Valencia, Valencia, Spain",{"title":981},{"VI":982},"Antonio Vidal-Infer",{"id":984,"sortIndex":212,"researcher":20,"roles":985,"affiliations":986,"properties":992},"29da3837-fc45-4523-b8d2-c4e8a1c57d43",[167],[987],{"id":20,"sortIndex":21,"affiliation":988,"properties":20},{"id":974,"createTime":975,"updateTime":975,"relativeEntities":989,"slug":20,"properties":990,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":991},{"VI":979},{"title":993},{"VI":994},"Jose Miñarro",{"id":996,"sortIndex":136,"researcher":20,"roles":997,"affiliations":998,"properties":1004},"66cc6438-7a84-4c60-a9d7-937936d3bcb8",[167],[999],{"id":20,"sortIndex":21,"affiliation":1000,"properties":20},{"id":974,"createTime":975,"updateTime":975,"relativeEntities":1001,"slug":20,"properties":1002,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1003},{"VI":979},{"title":1005},{"VI":1006},"Marta Rodríguez-Arias",{"id":1008,"sortIndex":228,"researcher":20,"roles":1009,"affiliations":1010,"properties":1016},"04712f2e-7bf5-4bbd-b590-d81c8f9b7f08",[167],[1011],{"id":20,"sortIndex":21,"affiliation":1012,"properties":20},{"id":974,"createTime":975,"updateTime":975,"relativeEntities":1013,"slug":20,"properties":1014,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1015},{"VI":979},{"title":1017},{"VI":1018},"Maria A. Aguilar",{"url":966,"publisher":1020,"properties":1048},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1021,"slug":10,"properties":1022,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1026,"manageAffiliations":1027,"indexDatabases":1028,"url":20,"thumbnailPath":20,"statistic":1043,"gsStatistic":20,"type":143,"analyzePriority":20},[],{"issn":1023,"title":1024,"url":1025},{"VOID":13},{"EN":15},{"VOID":17},[],[],[1029,1036],{"id":80,"indexDatabase":1030,"url":95,"indexYears":20,"academicFieldIds":1035,"indexDatabaseRanking":20},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":1031,"label":1032,"description":1033,"key":91,"publicationTags":1034,"standard":20},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97,98],{"id":100,"indexDatabase":1037,"url":113,"indexYears":114,"academicFieldIds":1042,"indexDatabaseRanking":120},{"id":102,"createTime":103,"updateTime":104,"relativeEntities":1038,"label":1039,"description":1040,"key":110,"publicationTags":1041,"standard":20},[],{"EN":107,"VI":107},{"EN":107,"VI":109},[112],[116,117,118,119],{"impactFactor":21,"impactFactorByYear":1044,"i10Index":21,"i10IndexLast5Year":21,"totalPublication":123,"totalPublicationByYear":1045,"totalCitation":21,"totalCitationByYear":1046,"totalCitationPerPublication":21,"totalCitationPerPublicationByYear":1047,"hindexLast5Year":21,"hindex":21},{},{"2005":125,"2006":126,"2007":127,"2008":128,"2009":129,"2010":130,"2011":131,"2012":132,"2013":126,"2014":133,"2015":133,"2016":125,"2017":134,"2018":134,"2019":135,"2020":136,"2021":137,"2022":138,"2023":139,"2024":140},{},{},{"volume":1049,"pages":1051},{"VOID":1050},"8",{"VOID":1052},"1-12","2012-06-20",2012,{"id":1056,"createTime":1057,"updateTime":1058,"relativeEntities":1059,"slug":1060,"properties":1061,"entityType":161,"verifyStatus":292,"verifyTime":1070,"verifyNote":293,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1071,"fullTextUrl":20,"authors":1072,"publicationType":239,"publisherRelationship":1151,"citationCount":130,"citationInfo":1184,"publishDate":1189,"publishYear":1185,"citationAnalyzeStatus":19,"lastCitationAnalyze":1058,"indexDatabases":20,"openAccess":20,"references":1190,"isForceReanalyzing":276},"65248742-0b6a-4e03-8004-49a15d27a03d","2024-02-13T06:47:42.080+00:00","2025-07-19T23:31:14.110+00:00",[],"Naringin-provides-neuroprotection-in-CCL2-induced-cognition-impairment-by-attenuating-neuronal-apoptosis-in-the-hippocampus",{"abstract":1062,"title":1064,"doi":1066,"gsPaper":1068},{"EN":1063},"Chemokine C–C motif ligand 2 (CCL2) is one of the most widely recognised proinflammatory chemokines in cognitive disorders. Currently, CCL2-targeting drugs are extremely limited. Thus, this study aimed to explore the neuroprotection afforded by naringin in CCL2-induced cognitive impairment in rats. Before the CCL2 intra-hippocampal injection, rats were treated with naringin for 3 consecutive days via intraperitoneal injection. Two days post-surgery, the Morris water maze (MWM) and novel object recognition (NORT) tests were performed to detect spatial learning and memory and object cognition, respectively. Nissl staining and dUTP nick-end labelling (TUNEL) staining were performed to assess histopathological changes in the hippocampus. Commercial kits were used to measure the activity of superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) and the content of malondialdehyde (MDA). Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to examine the relative mRNA expression of interleukin 1β, (IL-1β), interleukin 6 (IL-6), glutamate\u002Faspartate transporter (GLAST), glutamate transporter-1 (GLT-1), phosphate-activated glutaminase (PAG), cysteine aspartic acid-specific protease 8 (caspase-8), cysteine aspartic acid-specific protease 3 (caspase-3), cell lymphoma\u002Fleukaemia-2 (Bcl-2), and Bcl-2 associated X protein (Bax). In the MWM, the average escape latency and average swimming distance were significantly reduced and the crossing times were increased in the naringin-treated groups, compared with the CCL2 group. The NORT results revealed that, compared with the CCL2 rats, the discrimination index in the naringin-treated rats increased significantly. Nissl and TUNEL staining revealed that naringin protected the structure and survival of the neurons in the CA1 zone of the hippocampus. In the naringin-treated groups, the SOD and GSH-Px activities were increased, whereas the MDA levels were decreased. Furthermore, in the naringin-treated groups, the relative mRNA expression of IL-1β and IL-6 was significantly decreased; GLAST and GLT-1 mRNA expression levels were increased, whereas PAG was decreased. In the naringin-treated groups, the relative mRNA expression levels of caspase-8, caspase-3, and Bax were decreased, whereas that of Bcl-2 was increased. Collectively, these data indicated that naringin alleviated the CCL2-induced cognitive impairment. The underlying mechanisms could be associated with the inhibition of neuroinflammation, oxidative stress, apoptosis, and the regulation of glutamate metabolism.",{"EN":1065},"Naringin provides neuroprotection in CCL2-induced cognition impairment by attenuating neuronal apoptosis in the hippocampus",{"VOID":1067},"10.1186\u002Fs12993-020-00166-6",{"VOID":1069},"[\"17706614776349668296\"]","2024-04-30T00:15:43.768+00:00","https:\u002F\u002Fbehavioralandbrainfunctions.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12993-020-00166-6",[1073,1088,1100,1112,1127,1139],{"id":1074,"sortIndex":137,"researcher":20,"roles":1075,"affiliations":1076,"properties":1085},"92d4deeb-9b4e-4c40-a71b-3bb77fe82c0b",[167],[1077],{"id":20,"sortIndex":21,"affiliation":1078,"properties":20},{"id":1079,"createTime":1080,"updateTime":1080,"relativeEntities":1081,"slug":20,"properties":1082,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"dba857af-682c-4152-be68-01ba5c79339b","2024-01-15T15:36:40.423+00:00",[],{"title":1083},{"VI":1084},"Department of Pharmacology, Guangxi Medical University, Nanning, China",{"title":1086},{"VI":1087},"Yan Zhou",{"id":1089,"sortIndex":228,"researcher":20,"roles":1090,"affiliations":1091,"properties":1097},"af937523-3f56-4d1c-acd8-64659e43052a",[167],[1092],{"id":20,"sortIndex":21,"affiliation":1093,"properties":20},{"id":1079,"createTime":1080,"updateTime":1080,"relativeEntities":1094,"slug":20,"properties":1095,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1096},{"VI":1084},{"title":1098},{"VI":1099},"Jian-min Chen",{"id":1101,"sortIndex":136,"researcher":20,"roles":1102,"affiliations":1103,"properties":1109},"e64d0aca-96aa-42e8-b1b5-5801c0dd5165",[167],[1104],{"id":20,"sortIndex":21,"affiliation":1105,"properties":20},{"id":1079,"createTime":1080,"updateTime":1080,"relativeEntities":1106,"slug":20,"properties":1107,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1108},{"VI":1084},{"title":1110},{"VI":1111},"Yi-jun Zhou",{"id":1113,"sortIndex":140,"researcher":20,"roles":1114,"affiliations":1115,"properties":1124},"fc6b8db0-f471-4e9b-b346-9e208c74e584",[167],[1116],{"id":20,"sortIndex":21,"affiliation":1117,"properties":20},{"id":1118,"createTime":1119,"updateTime":1119,"relativeEntities":1120,"slug":20,"properties":1121,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"e631bfb8-db86-4f79-a9e6-a52f9a358dcc","2024-01-15T07:09:05.339+00:00",[],{"title":1122},{"VI":1123},"Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China",{"title":1125},{"VI":1126},"Bing-yu 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Schizophr Bull. 1976, 2: 19-76.\nCloninger CR: A systematic method for clinical description and classification of personality variants. A proposal. Arch Gen Psychiatry. 1987, 30: 21-27.\nEbstein RP, Novick O, Umansky R, Priel B, Osher Y, Blaine D, Bennett ER, Nemanov L, Katz M, Belmaker RH: Dopamine D4 receptor (D4DR) exon III polymorphism associated with the human personality traits of Novelty Seeking. Nature Genet. 1996, 12: 78-80. 10.1038\u002Fng0196-78.\nVan Tol HHM, Bunzow JR, Cuan HC, Sunahara RK, Seeman P, Niznik HB, Civelli O: Cloning of the gene for a human dopamine D4 receptor with high affinity for the antipsychotic clozapine. Nature. 1991, 350: 610-614. 10.1038\u002F350610a0.\nSuhara T, Yasuno F, Sudo Y, Yamamoto M, Inoue M, Okubo Y, Suzuki K: Dopamine D2 receptors in the insular cotex and the personality trait of novelty seeking. NeuroImage. 2001, 13: 891-895. 10.1006\u002Fnimg.2001.0761.\nFarde L, Gustavsson P, Jonsson E: D2 dopamine receptors and personality traits. Nature. 1997, 385: 590-10.1038\u002F385590a0.\nBreier A, Kestler L, Adler C, Elman I, Wiesendeld N, Malhotra A, Pickar D: Dopamine D2 receptor density and personal detachment in healthy subjects. Am J Psychiatry. 1998, 155: 1440-1442.\nSavitz JB, Ramesar RS: Genetic variants implicated in personality: a review of the more promising candidates. Am JMed Genet. 2004, 131B: 20-32. 10.1002\u002Fajmg.b.20155.\nCravchik A, Sibley DR, Gejman PV: Functional analysis of the human D2 dopamine receptor missense variants. J Biol Chem. 1996, 271: 26013-26017. 10.1074\u002Fjbc.271.42.26013.\nGebhardt C, Lerisch F, Schussler P, Fuchs K, Stompe T, Sieghart W, Hornik K, Kasper S, Aschauer HN: Non-association of dopamine D4 and D2 receptor genes with personality in healthy individuals. Psychiatr Genet. 2000, 10: 131-137.\nArinami T, Gao M, Hamaguchi H, Toru M: A functional polymorphism in the promoter region of the dopamine D2 receptor gene is associated with schizophrenia. Hum Mol Genet. 1997, 6: 577-582. 10.1093\u002Fhmg\u002F6.4.577.\nDuan J, Wainwright MS, Comeron JM, Saitou N, Sanders AR, Gelernter J, Gejman PV: Synonymous mutations in the human dopamine receptor D2 (DRD2) affect mRNA stability and synthesis of the receptor. Hum Mol Genet. 2003, 12: 205-216. 10.1093\u002Fhmg\u002Fddg055.\nJonsson EG, Cichon S, Gustavsson JP, Grunhage F, Forslund K, Mattila-Evenden M, Rylander G, Asberg M, Farde L, Propping P, Nothen MM: Association between a promoter dopamine D2 receptor gene variant and the personality trait detachment. Biol Psychiatry. 2003, 53: 577-584. 10.1016\u002FS0006-3223(02)01732-8.\nKatsuragi S, Kiyota A, Tsutsumi T, Isogawa K, Nagayama H, Arinami T, Akiyoshi J: Lack of association between a polymorphism in the promoter region of the dopamine D2 receptor and personality traits. Psychiatr Res. 2001, 105: 123-127. 10.1016\u002FS0165-1781(01)00331-6.\nLundstrom K, Turpin MP: Proposed schizophrenia-related gene polymorphism: expression of the Ser9Gly mutant human dopamine D3 receptor with the Semliki Forest virus system. Biochem Biophys Res Commun. 1996, 225: 1068-1072. 10.1006\u002Fbbrc.1996.1296.\nCzermak C, Lehofer M, Renger H, Wagner EM, Lemonis L, Rohrhofer A, Schzuenstein K, Liebmann PM: Dopamine receptor D3 mRNA expression in human lymphocytes is negatively correlated with the personality trait of persistence. J Neuroimmunology. 2004, 150: 145-149. 10.1016\u002Fj.jneuroim.2004.01.009.\nStaner L, Hilger C, Hentges F, Monreal J, Hoffmann A, Couturier M, Le Bon O, Stefos G, Souery D, Mendlewicz J: Association between novelty-seeking and the dopamine D3 receptor gene in bipolar patients: a preliminary report. Am J Med Genet. 1998, 81: 192-194. 10.1002\u002F(SICI)1096-8628(19980328)81:2\u003C192::AID-AJMG12>3.0.CO;2-C.\nEbstein PR, Segman R, Benjamin J, Osher Y, Nemanov L, Belmaker RH: 5-HT2C (HTR2C) serotonin receptor gene polymorphism associated with the human personality trait of reward dependence: interaction with dopamine D4 receptor (D4DR) and dopamine D3 receptor (D3DR) polymorphism. Am J Med Genet. 1997, 74: 65-72. 10.1002\u002F(SICI)1096-8628(19970221)74:1\u003C65::AID-AJMG15>3.0.CO;2-P.\nHenderson AS, Korten AE, Jorm AF, Jacomb PA, Christensen H, Rodgers B, Tan X, Easteal S: COMT and DRD3 polymorphisms, environmental exposures, and personality traits related to common mental disorders. Am J Med Genet. 2000, 96: 102-107. 10.1002\u002F(SICI)1096-8628(20000207)96:1\u003C102::AID-AJMG20>3.0.CO;2-3.\nJonsson EG, Burgert E, Crocq MA, Gustavsson JP, Forslund K, Mattila-Evenden M, Rylander G, Flyckt LK, Bjerkenstedt L, Wiesel FA, Asberg M, Bergman H: Association study between dopamine D3 receptor gene variant and personality trait. 2003, 117B: 61-65.\nWei J, Ramchand CN, Hemmings GP: Possible association of catecholamine turnover with the polymorphic (TCAT)n repeat in the first intron of the human tyrosine hydroxylase gene. Life Sciences. 1997, 61: 1341-1347. 10.1016\u002FS0024-3205(97)00679-6.\nPersson ML, Wasserman D, Jonsson EG, Bergman H, Terenius L, Gyllander A, Neiman J, Geijer T: Search for the influence of the tyrosine hydroxylase (TCAT)n repeat polymorphism on personality traits. Psychiatr Res. 2000, 95: 1-8. 10.1016\u002FS0165-1781(00)00160-8.\nIshiguro H, Arinami T, Saito T, Akazawa S, Enomoto M, Mitushio H, Fujishiro H, Tada K, Akimoto Y, Mifune H, Shiozuka S, Hamaguchi H, Toru M, Shibuya H: Systematic search for variations in the tyrosine hydroxylase gene and their associations with schizophrenia, affective disorders, and alcoholism. Am J Med Genet. 1998, 81: 388-396. 10.1002\u002F(SICI)1096-8628(19980907)81:5\u003C388::AID-AJMG7>3.0.CO;2-P.\nFurlong RA, Rubinsztein JS, Ho L, Walsh C, Coleman TA, Muir WJ, Paykel ES, Blackwood DHR, Rubinsztein DC: Analysis and metaanalysis of two polymorphisms within the tyrosine hydroxylase gene in bipolar and unipolar affective disorders. Am J Med Genet. 1999, 88: 88-94. 10.1002\u002F(SICI)1096-8628(19990205)88:1\u003C88::AID-AJMG16>3.0.CO;2-J.\nCosta PT, McCrae RL: Revised NEO Personality Inventory and NEO Five-Factor Inventory: Professional Manual. Odessa: Psychological Assessment Resources. 1992\nSpielberger CD, Gorsuch RL, Lushene RE: STAI manual. 1970, Palo Alto: Consulting Psychologist Press\nHiguchi S, Muramatsu T, Murayama M, Hayashida M: Association of structural polymorphism of the dopamine D2 receptor gene and alcoholism. Biochem Biophys Res Com. 1994, 204: 1199-1205. 10.1006\u002Fbbrc.1994.2590.\nSPSS for Windows, Release 10.0. Chicago: SPSS Inc. 1999\nCloninger CR, Przybeck TR, Svrakic DM, Wetzel RD: The Temperament and Character Inventory (TCI): A Guide to its Development and Use. St Louis: Center for Psychobiology of Personality. 1994",{"EN":1512},"Dopamine D2 receptor (DRD2) and dopamine D3 receptor (DRD3) genes could be candidates for personality-related genes considering their pharmacological profiles or structures. However, a limited number of studies have investigated the association between these genes and personality traits. In the present study, we investigated the DRD2, DRD3, and tyrosine hydroxylase (TH) genes in relation to personality traits in the Japanese population. Epistasis (gene-gene interaction) among the genes was extensively analyzed, in addition to the analysis based on each gene. The -241A\u002FG, -141C Ins\u002FDel, and Ser311Cys polymorphisms in the DRD2 gene, the Ser9Gly polymorphism of the DRD3 gene, and the Val81Met and PstI site polymorphisms in the TH gene were genotyped in 257 healthy Japanese subjects. Personality traits were evaluated by using the Revised NEO Personality Inventory (NEO PI-R) and the State-Trait Anxiety Inventory (STAI). The associations between gene polymorphisms and the scores for NEO PI-R or Trait Anxiety of STAI were statistically analyzed by one-way analysis of covariance (ANCOVA) adjusting sex and age. Epistasis was assessed using two-way ANCOVA between the polymorphisms of independent two genes. In the analysis based on each gene, trends for association were observed between State Anxiety and the DRD2 -141C Ins\u002FDel polymorphism (p = 0.031, uncorrected), and between Trait Anxiety and the DRD2 Ser311Cys or TH PstI site polymorphism (p = 0.048 and 0.041, respectively, uncorrected). In epistatic analysis, a trend for interaction was observed on the scores for Neuroticism and Trait Anxiety between the DRD2 -141C Ins\u002FDel and TH Val81Met polymorphisms (p = 0.015 and 0.010, respectively, uncorrected). However, these differences were insignificant after Bonferroni correction. The present study did not provide evidence for the association between these dopamine-related genes and personality traits in the Japanese population.",{"EN":1514},"No association of DRD2, DRD3, and tyrosine hydroxylase gene polymorphisms with personality traits in the Japanese 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