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BDNF serum levels are not related to cognitive functioning in older depressed patients and controls

Published online by Cambridge University Press:  18 December 2014

Annemiek Dols ,
Carisha S. Thesing ,
Filip Bouckaert ,
Richard C. Oude Voshaar ,
Hannie C. Comijs  and
M. L. Stek
Annemiek Dols*
Affiliation:
Department of Psychiatry, VU Medical Center / GGZ inGeest, Amsterdam, the Netherlands
Carisha S. Thesing
Affiliation:
Department of Psychiatry, VU Medical Center / GGZ inGeest, Amsterdam, the Netherlands
Filip Bouckaert
Affiliation:
Department of Old Age Psychiatry, UPC KU Leuven, Kortenberg campus, Belgium
Richard C. Oude Voshaar
Affiliation:
University Center of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
Hannie C. Comijs
Affiliation:
Department of Psychiatry, VU Medical Center / GGZ inGeest, Amsterdam, the Netherlands
M. L. Stek
Affiliation:
Department of Psychiatry, VU Medical Center / GGZ inGeest, Amsterdam, the Netherlands
*
Correspondence should be addressed to: A. Dols, De Nieuwe Valeriuskliniek GGZ inGeest, Amstelveenseweg 589, 1070 BB Amsterdam, the Netherlands. Phone: +31-20-7885-565; Fax: +31-20-7885-577. Email: [email protected].
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Abstract

Background:

Depression and cognitive decline are highly prevalent in older persons and both are associated with low serum brain derived neurotrophic factor (BDNF). Mutual pathways of depression and cognitive decline in older persons may explain the overlap in symptoms and low serum BDNF. We hypothesized that serum BDNF levels are lower in depressed elderly with poor cognitive performance (global or specifically in working memory, speed of information processing, and episodic memory) compared to depressed elderly without cognitive impairment or non-depressed controls.

Methods:

BDNF Serum levels and cognitive functioning were examined in 378 depressed persons and 132 non-depressed controls from a large prospective study on late-life depression. The association between BDNF levels and each cognitive domain among the depressed patients was tested by four separate linear regression models adjusted for relevant covariates. An analysis of covariance (ANCOVA) was performed to compare BDNF serum levels in three groups (depression with cognitive impairment, depression without cognitive impairment, and non-depressed controls), when adjusted for potential confounders.

Results:

No significant linear association was found between BDNF and any of the four cognitive domains tested. There are no differences in BDNF levels between controls and depressed patients with or without cognitive impairment global or in specific domains after controlling for confounders.

Conclusions:

BDNF serum levels in this cohort of older depressed patients and controls are not related to cognitive functioning. As BDNF is essential for the survival and functioning of neurons, its levels may remain normal in stages of disease where remission is achievable.

Keywords

BDNFagedcognitiondepressed
Type
Research Article
Information
International Psychogeriatrics , Volume 27 , Issue 4 , April 2015 , pp. 649 - 656
Copyright
Copyright © International Psychogeriatric Association 2014 

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References

APA (2000). Diagnostic and Statistical Manual of Mental Disorders, Washington, DC: American Psychiatric Press.Google Scholar
Bhalla, R. K. et al. (2006). Persistence of neuropsychologic deficits in the remitted state of late-life depression. American Journal of Geriatric Psychiatry, 14, 419–427.Google Scholar
Bus, B. A. et al. (2011). Serum brain-derived neurotrophic factor: determinants and relationship with depressive symptoms in a community population of middle-aged and elderly people. The World Journal of Biological Psychiatry, 13, 39–47.Google Scholar
Butters, M. A. et al. (2000). Changes in cognitive functioning following treatment of late-life depression. American Journal of Psychiatry, 157, 1949–1954.Google Scholar
Craig, C. L. et al. (2003). International physical activity questionnaire: 12-country reliability and validity. Medicine and Science in Sports and Exercise, 35, 1381–1395.Google Scholar
Comijs, H. C. et al. (2011). The Netherlands study of depression in older persons (NESDO); a prospective cohort study. BMC Research Notes, 4, 524.Google Scholar
Diniz, B. S. et al. (2013). Brain-derived neurotrophic factor levels in late-life depression and comorbid mild cognitive impairment: a longitudinal study. Journal of Psychiatric Research, 49, 96–101.Google Scholar
Driscoll, I. (2012). Plasma BDNF is associated with age-related white matter atrophy but not with cognitive function in older, non-demented adults. PLoS One, 7, e35217.Google Scholar
Erickson, K. I. et al. (2010). Brain-derived neurotrophic factor is associated with age-related decline in hippocampal volume. Journal of Neuroscience, 30, 5368–5375.CrossRefGoogle ScholarPubMed
Folstein, M. F., Folstein, S. E. and Mchugh, P. R. (1975). Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198.CrossRefGoogle Scholar
Jolliffe, I. T. (1972). Discarding variables in a principal component analysis, I: artificial data. Journal of the Royal Statistical Society, Series C (Applied Statistics), 21, 160–173.Google Scholar
Kapczinski, F. et al. (2010). Peripheral biomarkers and illness activity in bipolar disorder. Journal of Psychiatric Research, 45, 156–161.Google Scholar
Klein, M., Ponds, R. W., Houx, P. J. and Jolles, J. (1997). Effect of test duration on age-related differences in stroop interference. Journal of Clinical and Experimental Neuropsychology, 19, 77–82.Google Scholar
Korten, N. C. et al. (2014). Heterogeneity of late-life depression: relationship with cognitive functioning. International Psychogeriatrics, 26, 953–963.Google Scholar
Kriegsman, D. M., Penninx, B. W., Van Eijk, J. T., Boeke, A. J. and Deeg, D. J. (1996). Self-reports and general practitioner information on the presence of chronic diseases in community dwelling elderly. A study on the accuracy of patients’ self-reports and on determinants of inaccuracy. Journal of Clinical Epidemiology, 49, 1407–1417.Google Scholar
Laske, C. et al. (2010). Higher BDNF serum levels predict slower cognitive decline in Alzheimer's disease patients. The International Journal of Neuropsychopharmacology, 14, 399–404.Google Scholar
Laske, C. et al. (2006). Stage-dependent BDNF serum concentrations in Alzheimer's disease. Journal of Neural Transmission, 113, 1217–1224.CrossRefGoogle ScholarPubMed
Molendijk, M. L. et al. (2010). Serum levels of brain-derived neurotrophic factor in major depressive disorder: state-trait issues, clinical features and pharmacological treatment. Molecular Psychiatry, 16, 1088–1095.Google Scholar
Molendijk, M. L., Spinhoven, P., Polak, M., Bus, B. A., Penninx, B. W. and Elzinga, B. M. (2014). Serum BDNF concentrations as peripheral manifestations of depression: evidence from a systematic review and meta-analyses on 179 associations (N = 9484). Molecular Psychiatry, 19, 791–800.Google Scholar
Nettiksimmons, J., Simonsick, E. M., Harris, T., Satterfield, S., Rosano, C. and Yaffe, K. (2014). The associations between serum brain-derived neurotrophic factor, potential confounders, and cognitive decline: a longitudinal study. PLoS One, 9, e91339.Google Scholar
Oral, E., Canpolat, S., Yildirim, S., Gulec, M., Aliyev, E. and Aydin, N. (2012). Cognitive functions and serum levels of brain-derived neurotrophic factor in patients with major depressive disorder. Brain Research Bulletin, 88, 454–459.CrossRefGoogle ScholarPubMed
Peng, S., Wuu, J., Mufson, E. J. and Fahnestock, M. (2005). Precursor form of brain-derived neurotrophic factor and mature brain-derived neurotrophic factor are decreased in the pre-clinical stages of Alzheimer's disease. Journal of Neurochemistry, 93, 1412–1421.Google Scholar
Rey, A. (1964). L’examen Clinique en Psychologie. France, Paris: Presses Universitaire de France.Google Scholar
Rush, A. J., Gullion, C. M., Basco, M. R., Jarrett, R. B. and Trivedi, M. H. (1996). The inventory of depressive symptomatology (IDS): psychometric properties. Psychological Medicine, 26, 477–486.CrossRefGoogle ScholarPubMed
Saunders, J. B., Aasland, O. G., Babor, T. F., de la Fuente, J. R. and Grant, M. (1993). Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption–II. Addiction, 88, 791–804.CrossRefGoogle ScholarPubMed
Sen, S., Duman, R. and Sanacora, G. (2008). Serum brain-derived neurotrophic factor, depression, and antidepressant medications: meta-analyses and implications. Biological Psychiatry, 64, 527–532.Google Scholar
Shimada, H. et al. (2014). A large, cross-sectional observational study of serum BDNF, cognitive function, and mild cognitive impairment in the elderly. Frontiers in Aging Neuroscience, 6, 69.Google Scholar
Stroop, J. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18, 643–662.Google Scholar
Van der Meij, A., Comijs, H. C., Dols, A., Janzing, J. G. and Oude Voshaar, R. C. (2014). BDNF in late-life depression: Effect of SSRI usage and interaction with childhood abuse. Psychoneuroendocrinology, 43, 81–89.Google Scholar
Wechsler, D. (1958). The Measurement and Appraisal of Adult Intelligence. Baltimore, Williams & Wilkins.Google Scholar
Weinstein, G. et al. (2014). Serum brain-derived neurotrophic factor and the risk for dementia: the Framingham Heart Study. JAMA Neurology, 71, 55–61.CrossRefGoogle ScholarPubMed
Wittchen, H. U., Robins, L. N., Cottler, L. B., Sartorius, N., Burke, J. D. and Regier, D. (1991). Cross-cultural feasibility, reliability and sources of variance of the Composite International Diagnostic Interview (CIDI). The multicentre WHO/ADAMHA field trials. British Journal of Psychiatry, 159, 645–653, 658.Google Scholar
Ziegenhorn, A. A. et al. (2007). Serum neurotrophins–a study on the time course and influencing factors in a large old age sample. Neurobiology of Aging, 28, 1436–1445.CrossRefGoogle Scholar