The Val66Met polymorphism at the BDNF gene does not influence Wisconsin Card Sorting Test results in children and adolescents with bipolar disorder

• Main Authors: Cristian Patrick Zeni, Silzá Tramontina, Thamis Aline Zeni, Roberta Coelho, Gabriel Pheula, Julio Bernardi, Ursula Maldaner, Talita Lopes Silva, Angélica Salatino-Oliveira, Mara Hutz, Luis Augusto Rohde
• Format: Article
• Language: English
• Published: Associação Brasileira de Psiquiatria (ABP) 2013-03-01
• Series: Brazilian Journal of Psychiatry
• Subjects: BDNF; Bipolar Disorder; Children; Adolescents; Wisconsin Card Sorting Test
• Online Access: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462013000100008
• ISSN: 1516-4446; 1809-452X

OBJECTIVES: To assess the role of the Val66Met polymorphism at the brain-derived neurotrophic factor (BDNF) gene on the performance of children and adolescents with bipolar disorder [juvenile bipolar disorder (JBD)] on the Wisconsin Card Sorting Test (WCST). METHODS: Children and adolescents were assessed by the K-SADS-PL and a clinical evaluation for BD and comorbid conditions. Manic and depressive symptoms were assessed with the Young Mania Rating Scale and the Children Depression Rating Scale - Reviewed. The Val66Met polymorphism at the BDNF was genotyped from a blood sample. Patients' IQ and executive functions were assessed by a standard cognitive flexibility test (WCST). RESULTS: Fifty-three subjects were included in the study. No significant difference was observed between the Val/Val and Val/Met+Met/Met groups on any WCST scores in the MANCOVA (F48,5 = .76; p = .59; Perseverative Errors, p = .66; Nonperseverative Errors, p = .58; Categories Completed, p = .34; Attempts to Reach First Category, p=.64; and Percentage of Conceptual Level Responses, p = .99). CONCLUSIONS: Our findings from this sample of children and adolescents with BD do not replicate results from studies of adults and suggest the existence of differences in the neurobiology of this disorder across the life cycle. Investigations of larger samples are necessary to confirm these data.