Depression, the Val66Met polymorphism, age, and gender influence the serum BDNF level

Autor: Johan Hviid Andersen, Matias Brødsgaard Grynderup, Jane Frølund Thomsen, Linda Kaerlev, Leslie Foldager, Betina Elfving, Sigurd Mikkelsen, Pia Høgh Plougmann Poulsen, Anders D. Børglum, Gregers Wegener, Ole Mors, Henriette N. Buttenschøn, Åse Marie Hansen, Henrik A Kolstad
Rok vydání: 2012
Předmět:
Zdroj: Elfving, B, Buttenschøn, H N, Foldager, L, Poulsen, P H P, Andersen, N J, Grynderup, M, Hansen, Å M, Kolstad, H A, Kaerlev, L, Mikkelsen, S, Thomsen, J F, Børglum, A, Wegener, G & Mors, O 2012, ' Depression, the Val66Met polymorphism, age, and gender influence the serum BDNF level ', Journal of Psychiatric Research, vol. 46, no. 9, pp. 1118-1125 . https://doi.org/10.1016/j.jpsychires.2012.05.003
Elfving, B, Buttenschøn, H N, Foldager, L, Poulsen, P H P, Andersen, J H, Grynderup, M B, Hansen, A M, Kolstad, H A, Kaerlev, L, Mikkelsen, S, Thomsen, J F, Børglum, A D, Wegener, G & Mors, O 2012, ' Depression, the Val66Met polymorphism, age, and gender influence the serum BDNF level ', Journal of Psychiatric Research, vol. 46, no. 9, pp. 1118-1125 . https://doi.org/10.1016/j.jpsychires.2012.05.003
ISSN: 0022-3956
Popis: Brain-derived neurotrophic factor (BDNF) has been suggested as a candidate gene for depression and numerous studies have investigated the possible association between genetic variants within BDNF and depression. Clinical studies have investigated the serum BDNF levels in individuals with depression. However, few studies have combined genetic association studies with serum BDNF measurements. The purpose of the present study was therefore to perform an investigation of BDNF using 162 individuals with depression and 289 healthy individuals. All individuals returned a completed questionnaire and participated in a semi-structured diagnostic interview. The major contribution of the present study is the integration of clinical assessment of cases and control individuals, simultaneous analyses of several genetic variants, serum BDNF measurements, and information on socio-demographic variables, lifestyle, and health indicators in a statistical model. In the present study the serum BDNF levels were increased in the depressive subjects compared to control individuals. Additionally, six SNPs were successfully analyzed, but did not associate with depression. Multiple linear regression models were applied and age, depression, gender, the Val66Met polymorphism, and the interaction between Val66Met and gender were identified as significant deter- minants of the serum BDNF level. In conclusion, our data demonstrate that other factors than a diagnosis of depression influence the serum BDNF level and the importance of these factors should be emphasized comparing different studies.
Databáze: OpenAIRE