1
|
Castro-Fonseca E, Morais V, da Silva CG, Wollner J, Freitas J, Mello-Neto AF, Oliveira LE, de Oliveira VC, Leite REP, Alho AT, Rodriguez RD, Ferretti-Rebustini REL, Suemoto CK, Jacob-Filho W, Nitrini R, Pasqualucci CA, Grinberg LT, Tovar-Moll F, Lent R. The influence of age and sex on the absolute cell numbers of the human brain cerebral cortex. Cereb Cortex 2023; 33:8654-8666. [PMID: 37106573 PMCID: PMC10321098 DOI: 10.1093/cercor/bhad148] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 04/13/2023] [Accepted: 04/14/2023] [Indexed: 04/29/2023] Open
Abstract
The human cerebral cortex is one of the most evolved regions of the brain, responsible for most higher-order neural functions. Since nerve cells (together with synapses) are the processing units underlying cortical physiology and morphology, we studied how the human neocortex is composed regarding the number of cells as a function of sex and age. We used the isotropic fractionator for cell quantification of immunocytochemically labeled nuclei from the cerebral cortex donated by 43 cognitively healthy subjects aged 25-87 years old. In addition to previously reported sexual dimorphism in the medial temporal lobe, we found more neurons in the occipital lobe of men, higher neuronal density in women's frontal lobe, but no sex differences in the number and density of cells in the other lobes and the whole neocortex. On average, the neocortex has ~10.2 billion neurons, 34% in the frontal lobe and the remaining 66% uniformly distributed among the other 3 lobes. Along typical aging, there is a loss of non-neuronal cells in the frontal lobe and the preservation of the number of neurons in the cortex. Our study made possible to determine the different degrees of modulation that sex and age evoke on cortical cellularity.
Collapse
Affiliation(s)
- Emily Castro-Fonseca
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
| | - Viviane Morais
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Camila G da Silva
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Juliana Wollner
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Jaqueline Freitas
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Arthur F Mello-Neto
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Luiz E Oliveira
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Vilson C de Oliveira
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Renata E P Leite
- Biobank for Aging Studies, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
- Laboratory of Medical Research in Aging (LIM-66), University of São Paulo Medical School, São Paulo, Brazil
| | - Ana T Alho
- Biobank for Aging Studies, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
| | - Roberta D Rodriguez
- Biobank for Aging Studies, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
- Department of Pathology, University of São Paulo Medical School, São Paulo, Brazil
| | - Renata E L Ferretti-Rebustini
- Biobank for Aging Studies, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
- Department of Medical Surgical Nursing, University of São Paulo School of Nursing, São Paulo, Brazil
| | - Claudia K Suemoto
- Biobank for Aging Studies, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
- Laboratory of Medical Research in Aging (LIM-66), University of São Paulo Medical School, São Paulo, Brazil
| | - Wilson Jacob-Filho
- Biobank for Aging Studies, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
- Laboratory of Medical Research in Aging (LIM-66), University of São Paulo Medical School, São Paulo, Brazil
| | - Ricardo Nitrini
- Biobank for Aging Studies, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
- Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil
| | - Carlos A Pasqualucci
- Biobank for Aging Studies, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
- Department of Pathology, University of São Paulo Medical School, São Paulo, Brazil
| | - Lea T Grinberg
- Biobank for Aging Studies, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
- Department of Pathology, University of São Paulo Medical School, São Paulo, Brazil
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, United States
| | - Fernanda Tovar-Moll
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
| | - Roberto Lent
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
- National Institute of Translational Neuroscience, Ministry of Science and Technology, São Paulo, Brazil
| |
Collapse
|
2
|
de Morais VAC, de Oliveira-Pinto AV, Mello Neto AF, Freitas JS, da Silva MM, Suemoto CK, Leite RP, Grinberg LT, Jacob-Filho W, Pasqualucci C, Nitrini R, Caramelli P, Lent R. Resilience of Neural Cellularity to the Influence of Low Educational Level. Brain Sci 2023; 13:brainsci13010104. [PMID: 36672086 PMCID: PMC9857353 DOI: 10.3390/brainsci13010104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 12/28/2022] [Accepted: 12/30/2022] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Education is believed to contribute positively to brain structure and function, as well as to cognitive reserve. One of the brain regions most impacted by education is the medial temporal lobe (MTL), a region that houses the hippocampus, which has an important role in learning processes and in consolidation of memories, and is also known to undergo neurogenesis in adulthood. We aimed to investigate the influence of education on the absolute cell numbers of the MTL (comprised by the hippocampal formation, amygdala, and parahippocampal gyrus) of men without cognitive impairment. METHODS The Isotropic Fractionator technique was used to allow the anisotropic brain tissue to be transformed into an isotropic suspension of nuclei, and therefore assess the absolute cell composition of the MTL. We dissected twenty-six brains from men aged 47 to 64 years, with either low or high education. RESULTS A significant difference between groups was observed in brain mass, but not in MTL mass. No significant difference was found between groups in the number of total cells, number of neurons, and number of non-neuronal cells. Regression analysis showed that the total number of cells, number of neurons, and number of non-neuronal cells in MTL were not affected by education. CONCLUSIONS The results indicate a resilience of the absolute cellular composition of the MTL of typical men to low schooling, suggesting that the cellularity of brain regions is not affected by formal education.
Collapse
Affiliation(s)
- Viviane A. Carvalho de Morais
- Neuroplasticity Laboratory, Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, RJ, Brazil
| | - Ana V. de Oliveira-Pinto
- Neuroplasticity Laboratory, Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, RJ, Brazil
| | - Arthur F. Mello Neto
- Neuroplasticity Laboratory, Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, RJ, Brazil
| | - Jaqueline S. Freitas
- Neuroplasticity Laboratory, Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, RJ, Brazil
| | - Magnólia M. da Silva
- Biobank for Aging Studies, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil
| | - Claudia Kimie Suemoto
- Biobank for Aging Studies, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil
| | - Renata P. Leite
- Biobank for Aging Studies, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil
| | - Lea T. Grinberg
- Memory and Aging Center, University of California San Francisco, San Francisco, CA 94158, USA
| | - Wilson Jacob-Filho
- Biobank for Aging Studies, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil
- Laboratory of Medical Research in Aging (LIM-66), Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil
| | - Carlos Pasqualucci
- Biobank for Aging Studies, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil
| | - Ricardo Nitrini
- Biobank for Aging Studies, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-903, SP, Brazil
| | - Paulo Caramelli
- Behavioral and Cognitive Neurology Research Group, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte 30130-100, MG, Brazil
| | - Roberto Lent
- Neuroplasticity Laboratory, Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, RJ, Brazil
- D’Or Institute of Research and Education, Rio de Janeiro 22281-100, RJ, Brazil
- Correspondence:
| |
Collapse
|
3
|
da Costa NR, Mancine L, Salvini R, Teixeira JDM, Rodriguez RD, Leite REP, Nascimento C, Pasqualucci CA, Nitrini R, Jacob-Filho W, Lafer B, Grinberg LT, Suemoto CK, Nunes PV. Microcephaly measurement in adults and its association with clinical variables. Rev Saude Publica 2022; 56:38. [PMID: 35649085 PMCID: PMC9126574 DOI: 10.11606/s1518-8787.2022056004175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 12/01/2021] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVE To establish a microcephaly cut-off size in adults using head circumference as an indirect measure of brain size, as well as to explore factors associated with microcephaly via data mining. METHODS In autopsy studies, head circumference was measured with an inelastic tape placed around the skull. Total brain volume was also directly measured. A linear regression was used to determine the association of head circumference with brain volume and clinical variables. Microcephaly was defined as head circumference that were two standard deviations below the mean of significant clinical variables. We further applied an association rule mining to find rules associating microcephaly with several sociodemographic and clinical variables. RESULTS In our sample of 2,508 adults, the mean head circumference was 55.3 ± 2.7cm. Head circumference was related to height, cerebral volume, and sex (p < 0.001 for all). Microcephaly was present in 4.7% of the sample (n = 119). Out of 34,355 association rules, we found significant relationships between microcephaly and a clinical dementia rating (CDR) > 0.5 with an informant questionnaire on cognitive decline in the elderly (IQCODE) ≥ 3.4 (confidence: 100% and lift: 5.6), between microcephaly and a CDR > 0.5 with age over 70 years (confidence: 42% and lift: 2.4), and microcephaly and males (confidence: 68.1% and lift: 1.3). CONCLUSION Head circumference was related to cerebral volume. Due to its low cost and easy use, head circumference can be used as a screening test for microcephaly, adjusting it for gender and height. Microcephaly was associated with dementia at old age.
Collapse
Affiliation(s)
- Nicole Rezende da Costa
- Universidade de São PauloFaculdade de MedicinaSão PauloSPBrasilUniversidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil
| | - Livia Mancine
- Universidade Federal de GoiásInstituto de InformáticaGoiâniaGOBrasilUniversidade Federal de Goiás. Instituto de Informática. Goiânia, GO, Brasil,Instituto Federal GoianoDepartamento de EnsinoIporáGOBrasilInstituto Federal Goiano. Departamento de Ensino. Iporá, GO, Brasil
| | - Rogerio Salvini
- Universidade Federal de GoiásInstituto de InformáticaGoiâniaGOBrasilUniversidade Federal de Goiás. Instituto de Informática. Goiânia, GO, Brasil
| | - Juliana de Melo Teixeira
- Universidade Federal de GoiásInstituto de InformáticaGoiâniaGOBrasilUniversidade Federal de Goiás. Instituto de Informática. Goiânia, GO, Brasil
| | - Roberta Diehl Rodriguez
- Universidade de São PauloFaculdade de MedicinaSão PauloSPBrasilUniversidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil
| | - Renata Elaine Paraizo Leite
- Universidade de São PauloFaculdade de MedicinaSão PauloSPBrasilUniversidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil
| | - Camila Nascimento
- Universidade de São PauloFaculdade de MedicinaSão PauloSPBrasilUniversidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil
| | - Carlos Augusto Pasqualucci
- Universidade de São PauloFaculdade de MedicinaSão PauloSPBrasilUniversidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil
| | - Ricardo Nitrini
- Universidade de São PauloFaculdade de MedicinaSão PauloSPBrasilUniversidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil
| | - Wilson Jacob-Filho
- Universidade de São PauloFaculdade de MedicinaSão PauloSPBrasilUniversidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil
| | - Beny Lafer
- Universidade de São PauloFaculdade de MedicinaSão PauloSPBrasilUniversidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil
| | - Lea Tenenholz Grinberg
- Universidade de São PauloFaculdade de MedicinaSão PauloSPBrasilUniversidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil,University of CaliforniaMemory and Aging CenterSan FranciscoCaliforniaUnited StatesUniversity of California. Memory and Aging Center. San Francisco, California, United States
| | - Claudia Kimie Suemoto
- Universidade de São PauloFaculdade de MedicinaSão PauloSPBrasilUniversidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil
| | - Paula Villela Nunes
- Universidade de São PauloFaculdade de MedicinaSão PauloSPBrasilUniversidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil
| |
Collapse
|
4
|
β-amyloid pathology is not associated with depression in a large community sample autopsy study. J Affect Disord 2021; 278:372-381. [PMID: 33007627 DOI: 10.1016/j.jad.2020.09.062] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 06/06/2020] [Accepted: 09/11/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND Depression has been associated with dementia. This study aimed to verify if β-amyloid Alzheimer's disease-type burden was associated with lifetime major depressive disorder (MDD) and with current depressive symptoms in a large population-based autopsy study. METHODS We included 1013 deceased subjects submitted to autopsy (mean age=74.3±11.6 years, 49% men) in a community sample. β-amyloid burden was measured in all cases based on the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) criteria for presence and density of neuritic plaques. Lifetime MDD was defined when at least one previous episode according to the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders - DSM (SCID). Depressive symptoms and cognitive impairment were determined using the depression item of the Neuropsychiatric Inventory (D-NPI>0) and the Clinical Dementia Rating scale (CDR>0.5) respectively. RESULTS Lifetime MDD, late life depression (LLD) and current depressive symptoms were associated with cognitive impairment (p<0.001). Additionally, neuritic plaques were associated with cognitive impairment (p<0.001). Moderate or frequent neurite plaque density was not associated with MDD, LLD or current depressive symptoms in multiple logistic models adjusted for age, gender, and cognitive impairment. LIMITATIONS In this cross-sectional study, all neuropsychiatric and cognitive assessment were based on informant-report of deceased participants. CONCLUSIONS Different clinical depictions of depression were associated with dementia in this large community sample of elderly individuals with multiethnic backgrounds. Notwithstanding, they were unrelated to β-amyloid pathology in the brain areas studied. The link between depression and dementia might be complex and determined by multiple factors.
Collapse
|
5
|
Nunes PV, Schwarzer MC, Leite REP, Ferretti-Rebustini REDL, Pasqualucci CA, Nitrini R, Rodriguez RD, Nascimento CF, Oliveira KCD, Grinberg LT, Jacob-Filho W, Lafer B, Suemoto CK. Neuropsychiatric Inventory in Community-Dwelling Older Adults with Mild Cognitive Impairment and Dementia. J Alzheimers Dis 2020; 68:669-678. [PMID: 30856109 DOI: 10.3233/jad-180641] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Behavioral and psychological symptoms (BPSD) can be a prodrome of dementia, and the Neuropsychiatric Inventory (NPI) is widely used for BPSD evaluation. OBJECTIVE To compare the prevalence of BPSD according to cognitive status, and to determine NPI cutoffs that best discern individuals with mild cognitive impairment (MCI) and dementia from those without dementia. METHODS We included 1,565 participants (mean age = 72.7±12.2 years, 48% male). BPSD and cognitive status were assessed with the NPI and the Clinical Dementia Rating (CDR). We used multivariable logistic regression models to investigate the association of BPSD with cognitive status. The area under the curve (AUC) was used to assess model discrimination, and to determine the best NPI cutoff for MCI and dementia. RESULTS Participants were cognitively normal (CDR = 0; n = 1,062), MCI (CDR = 0.5; n = 145), or dementia (CDR≥1.0, n = 358). NPI symptoms were more frequent in dementia and MCI when compared to cognitively normal. Higher odds for delusions, hallucinations, disinhibition, and psychomotor alterations were found among participants with dementia and MCI than in those who were cognitively normal. The best NPI cutoff to discern participants with dementia from those cognitively normal was 11 (AUC = 0.755). Poor discrimination (AUC = 0.563) was found for the comparison of MCI and those cognitively normal. CONCLUSIONS We found an increase in BPSD frequencies across the continuum of cognitive impairment. BPSD severity and frequency in MCI was more similar to individuals cognitively normal than with dementia. NPI scores≥to 11 in individuals with no diagnosis of dementia can support the decision for further investigation of dementia.
Collapse
Affiliation(s)
- Paula Villela Nunes
- Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil.,Faculdade de Medicina de Jundiai, Brazil
| | | | | | | | | | - Ricardo Nitrini
- Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | | | | | | | - Lea Tenenholz Grinberg
- Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil.,Memory and Aging Center University of California, San Francisco, USA
| | - Wilson Jacob-Filho
- Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Beny Lafer
- Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | | |
Collapse
|
6
|
Coelho JC, Ferretti-Rebustini REDL, Suemoto CK, Leite REP, Jacob-Filho W, Pierin AMG. Hypertension is the underlying cause of death assessed at the autopsy of individuals. Rev Esc Enferm USP 2019; 53:e03457. [PMID: 31166537 DOI: 10.1590/s1980-220x2018006103457] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 09/25/2018] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE To analyze hypertension and its relationship with the causes of death identified by the autopsy. METHOD Cross-sectional study analyzed 356 participants belonging to the Brazilian Aging Brain Study Group, over 50 years of age, autopsied at the Sao Paulo Autopsy Service between 2004 to 2014. A clinical interview was conducted with the informant of the deceased. Hypertension was defined by reporting the disease and/or use of antihypertensive medication, by the informant of the deceased. Descriptive analyzes and bivariate and multivariable associations were performed. RESULTS The prevalence of hypertension was 66.2% and it was the second leading cause of death (25.6%) identified by autopsy, preceded by atherosclerosis (37.8%). The variables associated with hypertension were: female gender (OR=2.30 (1.34-3.90)); living with partner [OR=0.55 (0.32-0.92)]; Body Mass Index [OR=1.14 (1.08-1.22)] and history of diabetes [OR=2.39 (1.34-4.27)]. CONCLUSION The prevalence of hypertension was high, and it was the second most common underlying cause of death. The gold standard for the definition of cause of death, the autopsy, shows important results, which confirmed the relevance of hypertension as a public health problem.
Collapse
|
7
|
Low brain-derived neurotrophic factor levels in post-mortem brains of older adults with depression and dementia in a large clinicopathological sample. J Affect Disord 2018; 241:176-181. [PMID: 30125821 DOI: 10.1016/j.jad.2018.08.025] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 07/02/2018] [Accepted: 08/07/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND Disturbances in peripheral brain-derived neurotrophic factor (BDNF) have been reported in major depressive disorder (MDD). However, there are no studies measuring BDNF levels directly in post-mortem brains of older subjects with MDD and dementia. We aimed to verify if brain BDNF levels were lower in older adults with lifetime history of MDD with and without dementia. METHODS BDNF levels of post-mortem brains from 80 community-dwelling older individuals with lifetime MDD with and without dementia were compared with levels from 80 controls without lifetime MDD. Participants with no reliable close informant, or with prolonged agonal state were excluded. Lifetime MDD was defined as at least one previous episode according to the Structured Clinical Interview for DSM (SCID). RESULTS BDNF levels were lower in the MDD group with dementia than in participants with dementia and without MDD as confirmed by multivariate analysis adjusted for clinical and cardiovascular risk factors (ß = -0.106, 95%CI = -0.204; -0.009, p = 0.034). No difference was found in the group with MDD without dementia compared with their controls. LIMITATIONS The retrospective assessment of a lifetime history of depression may be subject to information bias and this study only establishes a cross-sectional association between lifetime history of MDD and lower levels of BDNF in patients with dementia. CONCLUSIONS In this community sample of older individuals, lower brain BDNF levels were found in cases with both lifetime MDD and dementia. Low BDNF levels could be a moderator to accelerated brain aging observed in MDD with dementia.
Collapse
|
8
|
Nunes PV, Suemoto CK, Leite REP, Ferretti-Rebustini REDL, Pasqualucci CA, Nitrini R, Farfel JM, de Oliveira KC, Grinberg LT, da Costa NR, Nascimento CF, Salmasi F, Kim HK, Young LT, Jacob-Filho W, Lafer B. Factors associated with brain volume in major depression in older adults without dementia: results from a large autopsy study. Int J Geriatr Psychiatry 2018; 33:14-20. [PMID: 28055136 DOI: 10.1002/gps.4649] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 11/25/2016] [Accepted: 11/29/2016] [Indexed: 01/23/2023]
Abstract
OBJECTIVE We examined brain volume and atrophy in individuals with major depressive disorder (MDD) without dementia that were referred to a large autopsy service. We also examined potential risk factors for brain atrophy, including demographics and clinical variables. METHODS In this study, 1373 participants (787 male) aged 50 years or older who died from natural causes were included. Participants with no reliable informant, with cognitive impairment or dementia, with a medical history of severe chronic disease, or with prolonged agonal state were excluded. Presence of MDD at least once in their lifetime was defined according to the Structured Clinical Interview for DSM. Brain volume was measured immediately after removal from the skull. RESULTS Mean age at death was 68.6 ± 11.6, and MDD was present in 185 (14%) individuals. Smaller brain volume was associated with older age (p < 0.001), lower education (years; p < 0.001), hypertension (p = 0.001), diabetes (p = 0.006), and female gender (p < 0.001). In the multivariate analysis adjusted for sociodemographics and cardiovascular risk factors, smaller brain volume was not associated with major depression (β = -0.86, 95% CI = -26.50 to 24.77, p = 0.95). CONCLUSIONS In this large autopsy study of older adults, MDD was not associated with smaller brain volumes. Regardless of the presence of MDD, in this sample of older adults without dementia, we found that smaller brain volumes were associated with risk factors for brain neurodegeneration such as older age, diabetes, hypertension, and lower education. Copyright © 2017 John Wiley & Sons, Ltd.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | - Lea Tenenholz Grinberg
- University of São Paulo Medical School, Sao Paulo, Brazil.,Memory and Aging Center University of California, San Francisco, CA, USA
| | | | | | - Faraz Salmasi
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Helena Kyunghee Kim
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Lionel Trevor Young
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
| | | | - Beny Lafer
- University of São Paulo Medical School, Sao Paulo, Brazil
| |
Collapse
|