Neurotrophic factors in depression in response to treatment.

BACKGROUND: Brain-derived neurotrophic factor (BDNF) and vascular endothelial growth factor A (VEGF) have been suggested to play a role in the pathophysiology of depression. The neurotrophic model of depression hypothesises that the serum level of e.g. BDNF is decreased during depression and increased in response to treatment. The aim of the present study was to investigate BDNF and VEGF as potential predictors of response to antidepressant treatment. METHODS: We investigated the longitudinal associations between depression scores and serum levels of these neurotrophic factors during antidepressant treatment in 90 individuals with depression of at least moderate severity. Serum levels were measured at baseline and after 8 and 12 weeks of treatment with nortriptyline or escitalopram. RESULTS: No baseline or longitudinal correlations between depression scores and serum levels of BDNF and VEGF were found, and the baseline serum levels did not predict the MADRS depression score after 12 weeks of treatment or the improvement in depression scores. Interestingly, we observed a significant baseline and longitudinal correlation between serum levels of BDNF and VEGF. The two classes of antidepressant treatment did not affect the results differently. LIMITATIONS: Information on potential factors influencing the serum levels is missing. CONCLUSION: Our results do not support the neurotrophic model of depression, since a significant decrease in serum BDNF and VEGF levels after 12 weeks of antidepressant treatment was observed. Our study encourages future studies with large sample sizes, more observations and a longer follow-up period.

Depression and BMI influences the serum vascular endothelial growth factor level.

Recent studies suggest that the angiogenic cytokine vascular endothelial growth factor (VEGF) is involved in the pathogenesis of depression. However, only a few studies have investigated serum VEGF levels in individuals with depression, or the possible association between genetic variants within the VEGF gene and depression. The purpose of the present study was to investigate differences between serum VEGF levels in individuals with depression vs. control individuals, and associations between genetic markers located within VEGF and depression. In addition, determinants of the serum VEGF levels were identified. One-hundred and fifty-five depressed subjects and 280 controls were included in the study. All individuals returned a questionnaire and participated in a semi-structured diagnostic interview. Eleven single nucleotide polymorphisms were successfully analysed. VEGF levels were measured in serum by immunoassay and independent determinants of the serum VEGF level were assessed by generalized linear models.The main findings were that depression, severity of depression, previous depressive episodes, age and body mass index (BMI) were associated with higher serum VEGF levels. The genetic marker rs10434 was significantly associated with depression after correction for multiple testing, but not with the serum VEGF level. Our final model included depression and BMI as predictors of serum VEGF levels. Our study suggests a role for circulating serum VEGF in depression. Furthermore, our data also demonstrate that other factors than a diagnosis of depression influence the serum VEGF level. The importance of these factors should be emphasized when studies are compared.

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

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 determinants 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.