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Gao W, Zhu WW, Yu YH, Wang J. Plasma homocysteine level, estradiol level, and brain atrophy: a Mendelian randomization study. Cereb Cortex 2024; 34:bhae112. [PMID: 38517173 DOI: 10.1093/cercor/bhae112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/28/2024] [Accepted: 03/01/2024] [Indexed: 03/23/2024] Open
Abstract
OBJECTIVES Observational studies link elevated plasma homocysteine (Hcy) with vascular disease. Our aim was to assess the gender difference in the association between the plasma tHcy level and brain atrophy and identify the possible influencer. We employed Mendelian randomization (MR) to explore the causal relationship between plasma tHcy level, estradiol level, and brain atrophy. METHODS A total of 687 patients with brain atrophy were included, and gender-specific subgroup analyses in association between tHcy and brain atrophy are conducted. From genome-wide association studies, we selected genetic variants (P < 5 × 10-8) for the plasma tHcy level and estradiol level. We investigated the degree of brain atrophy (including gray matter volume and total brain volume) in the UK biobank (n = 7,916). The inverse variance-weighted and several sensitivity MR regression analyses were carried out. RESULTS The plasma tHcy level was significantly associated with brain atrophy for females, but not for males. An MR study showed that there was little evidence of the causal link between elevated plasma tHcy and brain atrophy. On the other hand, we found evidence to support causality for genetically decreased estradiol with higher risk of brain atrophy. Furthermore, genetic predisposition to elevated plasma tHcy was associated with a lower estradiol level. CONCLUSIONS The influence of estradiol on the association between tHcy and brain atrophy deserves further investigation.
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Affiliation(s)
- Wen Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Wei-Wen Zhu
- Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China
| | - Ya-Huan Yu
- Department of Epidemiology and Health Statistics, School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Juan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
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Nerattini M, Jett S, Andy C, Carlton C, Zarate C, Boneu C, Battista M, Pahlajani S, Loeb-Zeitlin S, Havryulik Y, Williams S, Christos P, Fink M, Brinton RD, Mosconi L. Systematic review and meta-analysis of the effects of menopause hormone therapy on risk of Alzheimer's disease and dementia. Front Aging Neurosci 2023; 15:1260427. [PMID: 37937120 PMCID: PMC10625913 DOI: 10.3389/fnagi.2023.1260427] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 09/25/2023] [Indexed: 11/09/2023] Open
Abstract
Introduction Despite a large preclinical literature demonstrating neuroprotective effects of estrogen, use of menopausal hormone therapy (HT) for Alzheimer's disease (AD) risk reduction has been controversial. Herein, we conducted a systematic review and meta-analysis of HT effects on AD and dementia risk. Methods Our systematic search yielded 6 RCT reports (21,065 treated and 20,997 placebo participants) and 45 observational reports (768,866 patient cases and 5.5 million controls). We used fixed and random effect meta-analysis to derive pooled relative risk (RR) and 95% confidence intervals (C.I.) from these studies. Results Randomized controlled trials conducted in postmenopausal women ages 65 and older show an increased risk of dementia with HT use compared with placebo [RR = 1.38, 95% C.I. 1.16-1.64, p < 0.001], driven by estrogen-plus-progestogen therapy (EPT) [RR = 1.64, 95% C.I. 1.20-2.25, p = 0.002] and no significant effects of estrogen-only therapy (ET) [RR = 1.19, 95% C.I. 0.92-1.54, p = 0.18]. Conversely, observational studies indicate a reduced risk of AD [RR = 0.78, 95% C.I. 0.64-0.95, p = 0.013] and all-cause dementia [RR = .81, 95% C.I. 0.70-0.94, p = 0.007] with HT use, with protective effects noted with ET [RR = 0.86, 95% C.I. 0.77-0.95, p = 0.002] but not with EPT [RR = 0.910, 95% C.I. 0.775-1.069, p = 0.251]. Stratified analysis of pooled estimates indicates a 32% reduced risk of dementia with midlife ET [RR = 0.685, 95% C.I. 0.513-0.915, p = 0.010] and non-significant reductions with midlife EPT [RR = 0.775, 95% C.I. 0.474-1.266, p = 0.309]. Late-life HT use was associated with increased risk, albeit not significant [EPT: RR = 1.323, 95% C.I. 0.979-1.789, p = 0.069; ET: RR = 1.066, 95% C.I. 0.996-1.140, p = 0.066]. Discussion These findings support renewed research interest in evaluating midlife estrogen therapy for AD risk reduction.
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Affiliation(s)
- Matilde Nerattini
- Department of Neurology, Weill Cornell Medicine, New York, NY, United States
- Department of Experimental and Clinical Biomedical Sciences, Nuclear Medicine Unit, University of Florence, Florence, Italy
| | - Steven Jett
- Department of Neurology, Weill Cornell Medicine, New York, NY, United States
| | - Caroline Andy
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States
| | - Caroline Carlton
- Department of Neurology, Weill Cornell Medicine, New York, NY, United States
| | - Camila Zarate
- Department of Neurology, Weill Cornell Medicine, New York, NY, United States
| | - Camila Boneu
- Department of Neurology, Weill Cornell Medicine, New York, NY, United States
| | - Michael Battista
- Department of Neurology, Weill Cornell Medicine, New York, NY, United States
| | - Silky Pahlajani
- Department of Neurology, Weill Cornell Medicine, New York, NY, United States
- Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Susan Loeb-Zeitlin
- Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY, United States
| | - Yelena Havryulik
- Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY, United States
| | - Schantel Williams
- Department of Neurology, Weill Cornell Medicine, New York, NY, United States
| | - Paul Christos
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States
| | - Matthew Fink
- Department of Neurology, Weill Cornell Medicine, New York, NY, United States
| | - Roberta Diaz Brinton
- Department of Neurology and Pharmacology, University of Arizona, Tucson, AZ, United States
| | - Lisa Mosconi
- Department of Neurology, Weill Cornell Medicine, New York, NY, United States
- Department of Experimental and Clinical Biomedical Sciences, Nuclear Medicine Unit, University of Florence, Florence, Italy
- Department of Radiology, Weill Cornell Medicine, New York, NY, United States
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Wrigglesworth J, Harding IH, Islam RM, Ward PGD, Woods RL, Bell RJ, McNeil JJ, Storey E, Egan G, Murray AM, Trevaks RE, Ward SA, Davis SR, Ryan J. The association between sex hormones and the change in brain-predicted age difference in older women. Clin Endocrinol (Oxf) 2023; 98:692-699. [PMID: 36807922 PMCID: PMC10073334 DOI: 10.1111/cen.14898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 01/17/2023] [Accepted: 02/19/2023] [Indexed: 02/22/2023]
Abstract
OBJECTIVE The role of circulating sex hormones on structural brain ageing is yet to be established. This study explored whether concentrations of circulating sex hormones in older women are associated with the baseline and longitudinal changes in structural brain ageing, defined by the brain-predicted age difference (brain-PAD). DESIGN Prospective cohort study using data from NEURO and Sex Hormones in Older Women; substudies of the ASPirin in Reducing Events in the Elderly clinical trial. PATIENTS Community-dwelling older women (aged 70+ years). MEASUREMENTS Oestrone, testosterone, dehydroepiandrosterone (DHEA), and sex-hormone binding globulin (SHBG) were quantified from plasma samples collected at baseline. T1-weighted magnetic resonance imaging was performed at baseline, 1 and 3 years. Brain age was derived from whole brain volume using a validated algorithm. RESULTS The sample comprised of 207 women not taking medications known to influence sex hormone concentrations. A statistically higher baseline brain-PAD (older brain age relative to chronological age) was seen for women in the highest DHEA tertile compared with the lowest in the unadjusted analysis (p = .04). This was not significant when adjusted for chronological age, and potential confounding health and behavioural factors. Oestrone, testosterone and SHBG were not associated with brain-PAD cross-sectionally, nor were any of the examined sex hormones or SHBG associated with brain-PAD longitudinally. CONCLUSION No strong evidence of an association between circulating sex hormones and brain-PAD. Given there is prior evidence to suggests sex hormones may be important for brain ageing, further studies of circulating sex hormones and brain health in postmenopausal women are warranted.
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Affiliation(s)
- Jo Wrigglesworth
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Victoria, Australia
| | - Ian H. Harding
- Monash Biomedical Imaging, Monash University, Melbourne, 3800, Victoria, Australia
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne Victoria, Australia
| | - Rakibul M. Islam
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Victoria, Australia
| | - Phillip G. D. Ward
- Monash Biomedical Imaging, Monash University, Melbourne, 3800, Victoria, Australia
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, 3800, Victoria Australia
- Australian Research Council Centre of Excellence for Integrative Brain Function, Australia
| | - Robyn L. Woods
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Victoria, Australia
| | - Robin J. Bell
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Victoria, Australia
| | - John J. McNeil
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Victoria, Australia
| | - Elsdon Storey
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Victoria, Australia
| | - Gary Egan
- Monash Biomedical Imaging, Monash University, Melbourne, 3800, Victoria, Australia
- Australian Research Council Centre of Excellence for Integrative Brain Function, Australia
| | - Anne M. Murray
- Berman Centre for Outcomes & Clinical Research, Hennepin Healthcare Research Institute, Hennepin, Minneapolis, MN, 55404, USA
- Department of Medicine, Division of Geriatrics, Hennepin Healthcare, University of Minnesota, Minneapolis, MN, 55404, USA
| | - Ruth E. Trevaks
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Victoria, Australia
| | - Stephanie A. Ward
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Victoria, Australia
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, New South Wales, Australia
- Department of Geriatric Medicine, Prince of Wales Hospital, Randwick, 2031, New South Wales, Australia
| | - Susan R. Davis
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Victoria, Australia
- Department of Endocrinology and Diabetes, Alfred Health, Melbourne, 3004, Victoria, Australia
| | - Joanne Ryan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Victoria, Australia
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Jett S, Schelbaum E, Jang G, Boneu Yepez C, Dyke JP, Pahlajani S, Diaz Brinton R, Mosconi L. Ovarian steroid hormones: A long overlooked but critical contributor to brain aging and Alzheimer's disease. Front Aging Neurosci 2022; 14:948219. [PMID: 35928995 PMCID: PMC9344010 DOI: 10.3389/fnagi.2022.948219] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 06/28/2022] [Indexed: 01/19/2023] Open
Abstract
Ovarian hormones, particularly 17β-estradiol, are involved in numerous neurophysiological and neurochemical processes, including those subserving cognitive function. Estradiol plays a key role in the neurobiology of aging, in part due to extensive interconnectivity of the neural and endocrine system. This aspect of aging is fundamental for women's brains as all women experience a drop in circulating estradiol levels in midlife, after menopause. Given the importance of estradiol for brain function, it is not surprising that up to 80% of peri-menopausal and post-menopausal women report neurological symptoms including changes in thermoregulation (vasomotor symptoms), mood, sleep, and cognitive performance. Preclinical evidence for neuroprotective effects of 17β-estradiol also indicate associations between menopause, cognitive aging, and Alzheimer's disease (AD), the most common cause of dementia affecting nearly twice more women than men. Brain imaging studies demonstrated that middle-aged women exhibit increased indicators of AD endophenotype as compared to men of the same age, with onset in perimenopause. Herein, we take a translational approach to illustrate the contribution of ovarian hormones in maintaining cognition in women, with evidence implicating menopause-related declines in 17β-estradiol in cognitive aging and AD risk. We will review research focused on the role of endogenous and exogenous estrogen exposure as a key underlying mechanism to neuropathological aging in women, with a focus on whether brain structure, function and neurochemistry respond to hormone treatment. While still in development, this research area offers a new sex-based perspective on brain aging and risk of AD, while also highlighting an urgent need for better integration between neurology, psychiatry, and women's health practices.
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Affiliation(s)
- Steven Jett
- Department of Neurology, Weill Cornell Medical College, New York, NY, United States
| | - Eva Schelbaum
- Department of Neurology, Weill Cornell Medical College, New York, NY, United States
| | - Grace Jang
- Department of Neurology, Weill Cornell Medical College, New York, NY, United States
| | - Camila Boneu Yepez
- Department of Neurology, Weill Cornell Medical College, New York, NY, United States
| | - Jonathan P. Dyke
- Department of Radiology, Weill Cornell Medical College, New York, NY, United States
| | - Silky Pahlajani
- Department of Neurology, Weill Cornell Medical College, New York, NY, United States
- Department of Radiology, Weill Cornell Medical College, New York, NY, United States
| | - Roberta Diaz Brinton
- Department of Pharmacology, University of Arizona, Tucson, AZ, United States
- Department of Neurology, University of Arizona, Tucson, AZ, United States
| | - Lisa Mosconi
- Department of Neurology, Weill Cornell Medical College, New York, NY, United States
- Department of Radiology, Weill Cornell Medical College, New York, NY, United States
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Wrigglesworth J, Harding IH, Ward P, Woods RL, Storey E, Fitzgibbon B, Egan G, Murray A, Shah RC, Trevaks RE, Ward S, McNeil JJ, Ryan J. Factors Influencing Change in Brain-Predicted Age Difference in a Cohort of Healthy Older Individuals. J Alzheimers Dis Rep 2022; 6:163-176. [PMID: 35591948 PMCID: PMC9108625 DOI: 10.3233/adr-220011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 03/09/2022] [Indexed: 12/11/2022] Open
Abstract
Background There is considerable variability in the rate at which we age biologically, and the brain is particularly susceptible to the effects of aging. Objective We examined the test-retest reliability of brain age at one- and three-year intervals and identified characteristics that predict the longitudinal change in brain-predicted age difference (brain-PAD, defined by deviations of brain age from chronological age). Methods T1-weighted magnetic resonance images were acquired at three timepoints from 497 community-dwelling adults (73.8±3.5 years at baseline, 48% were female). Brain age was estimated from whole brain volume, using a publicly available algorithm trained on an independent dataset. Linear mixed models were used, adjusting for sex, age, and age2. Results Excellent retest reliability of brain age was observed over one and three years. We identified a significant sex difference in brain-PAD, where a faster rate of brain aging (worsening in brain age relative to chronological age) was observed in men, and this finding replicated in secondary analyses. The effect size, however, was relatively weak, equivalent to 0.16 years difference per year. A higher score in physical health related quality of life and verbal fluency were associated with a faster rate of brain aging, while depression was linked to a slower rate of brain aging, but these findings were not robust. Conclusion Our study provides consistent evidence that older men have slightly faster brain atrophy than women. Given the sparsity of longitudinal research on brain age in older populations, future prospective studies are needed to confirm our findings.
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Affiliation(s)
- Jo Wrigglesworth
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Ian H. Harding
- Monash Biomedical Imaging, Monash University, Clayton, VIC, Australia
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Phillip Ward
- Monash Biomedical Imaging, Monash University, Clayton, VIC, Australia
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
- Australian Research Council Centre of Excellence for Integrative Brain Function, Clayton, VIC, Australia
| | - Robyn L. Woods
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Elsdon Storey
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Bernadette Fitzgibbon
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Gary Egan
- Monash Biomedical Imaging, Monash University, Clayton, VIC, Australia
- Australian Research Council Centre of Excellence for Integrative Brain Function, Clayton, VIC, Australia
| | - Anne Murray
- Berman Center for Outcomes & Clinical Research, Hennepin Healthcare Research Institute, Minneapolis, MN, USA
- Department of Medicine, Division of Geriatrics, Hennepin Healthcare, University of Minnesota, Minneapolis, MN, USA
| | - Raj C. Shah
- Department of Family Medicine and the Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Ruth E. Trevaks
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Stephanie Ward
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, NSW, Australia
- Department of Geriatric Medicine, Prince of Wales Hospital, Randwick, NSW, Australia
| | - John J. McNeil
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Joanne Ryan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - on behalf of the ASPREE investigator group
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Monash Biomedical Imaging, Monash University, Clayton, VIC, Australia
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
- Australian Research Council Centre of Excellence for Integrative Brain Function, Clayton, VIC, Australia
- Berman Center for Outcomes & Clinical Research, Hennepin Healthcare Research Institute, Minneapolis, MN, USA
- Department of Medicine, Division of Geriatrics, Hennepin Healthcare, University of Minnesota, Minneapolis, MN, USA
- Department of Family Medicine and the Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, NSW, Australia
- Department of Geriatric Medicine, Prince of Wales Hospital, Randwick, NSW, Australia
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Frye BM, Craft S, Register TC, Kim J, Whitlow CT, Barcus RA, Lockhart SN, Sai KKS, Shively CA. Early Alzheimer's disease-like reductions in gray matter and cognitive function with aging in nonhuman primates. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2022; 8:e12284. [PMID: 35310523 PMCID: PMC8918111 DOI: 10.1002/trc2.12284] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 12/24/2021] [Accepted: 02/15/2022] [Indexed: 01/13/2023]
Abstract
Introduction Age-related neuropathology associated with sporadic Alzheimer's disease (AD) often develops well before the onset of symptoms. Given AD's long preclinical period, translational models are needed to identify early signatures of pathological decline. Methods Using structural magnetic resonance imaging and cognitive assessments, we examined the relationships among age, cognitive performance, and neuroanatomy in 48 vervet monkeys (Chlorocebus aethiops sabaeus) ranging from young adults to very old. Results We found negative associations of age with cortical gray matter volume (P = .003) and the temporal-parietal cortical thickness meta-region of interest (P = .001). Additionally, cortical gray matter volumes predicted working memory at approximately 1-year follow-up (correct trials at the 20s delay [P = .008]; correct responses after longer delays [P = .004]). Discussion Cortical gray matter diminishes with age in vervets in regions relevant to AD, which may increase risk of cognitive impairment. This study lays the groundwork for future investigations to test therapeutics to delay or slow pathological decline.
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Affiliation(s)
- Brett M. Frye
- Department of Pathology/Comparative MedicineWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Suzanne Craft
- Department of Internal Medicine/GerontologyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
- Wake Forest Alzheimer's Disease Research CenterWinston‐SalemNorth CarolinaUSA
| | - Thomas C. Register
- Department of Pathology/Comparative MedicineWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
- Wake Forest Alzheimer's Disease Research CenterWinston‐SalemNorth CarolinaUSA
| | - Jeongchul Kim
- Wake Forest Alzheimer's Disease Research CenterWinston‐SalemNorth CarolinaUSA
- Department of RadiologyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Christopher T. Whitlow
- Wake Forest Alzheimer's Disease Research CenterWinston‐SalemNorth CarolinaUSA
- Department of RadiologyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Richard A. Barcus
- Wake Forest Alzheimer's Disease Research CenterWinston‐SalemNorth CarolinaUSA
- Department of RadiologyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Samuel N. Lockhart
- Department of Internal Medicine/GerontologyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
- Wake Forest Alzheimer's Disease Research CenterWinston‐SalemNorth CarolinaUSA
| | - Kiran Kumar Solingapuram Sai
- Wake Forest Alzheimer's Disease Research CenterWinston‐SalemNorth CarolinaUSA
- Department of RadiologyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Carol A. Shively
- Department of Pathology/Comparative MedicineWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
- Wake Forest Alzheimer's Disease Research CenterWinston‐SalemNorth CarolinaUSA
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7
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Beltz AM, Moser JS. Ovarian hormones: a long overlooked but critical contributor to cognitive brain structures and function. Ann N Y Acad Sci 2020; 1464:156-180. [DOI: 10.1111/nyas.14255] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 08/13/2019] [Accepted: 09/18/2019] [Indexed: 12/23/2022]
Affiliation(s)
- Adriene M. Beltz
- Department of PsychologyUniversity of Michigan Ann Arbor Michigan
| | - Jason S. Moser
- Department of PsychologyMichigan State University East Lansing Michigan
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8
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Buchpiguel M, Rosa P, Squarzoni P, Duran FL, Tamashiro-Duran JH, Leite CC, Lotufo P, Scazufca M, Alves TC, Busatto GF. Differences in Total Brain Volume between Sexes in a Cognitively Unimpaired Elderly Population. Clinics (Sao Paulo) 2020; 75:e2245. [PMID: 33331399 PMCID: PMC7690962 DOI: 10.6061/clinics/2020/e2245] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 10/20/2020] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVES Although a large number of studies have shown brain volumetric differences between men and women, only a few investigations have analyzed brain tissue volumes in representative samples of the general elderly population. We investigated differences in gray matter (GM) volumes, white matter (WM) volumes, and intracranial volumes (ICVs) between the sexes in individuals older than 66 years using structural magnetic resonance imaging (MRI). METHODS Using FreeSurfer version 5.3, we obtained the ICVs and GM and WM volumes from the MRI datasets of 84 men and 92 women. To correct for interindividual variations in ICV, GM and WM volumes were adjusted with a method using the residuals of a least-square-derived linear regression between raw volumes and ICVs. We then performed an analysis of covariance comparing men and women, including age and years of schooling as confounding factors. RESULTS Women had a lower socioeconomic status overall and fewer years of schooling than men. The comparison of unadjusted brain volumes showed larger GM and WM volumes in men. After the ICV correction, the adjusted volumes of GM and WM were larger in women. CONCLUSION After the ICV correction and taking into account differences in socioeconomic status and years of schooling, our results confirm previous findings of proportionally larger GM in women, as well as larger WM volumes. These results in an elderly population indicate that brain volumetric differences between sexes persist throughout the aging process. Additional studies combining MRI and other biomarkers to identify the hormonal and molecular bases influencing such differences are warranted.
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Affiliation(s)
- Marina Buchpiguel
- Departamento e Instituto de Psiquiatria, Faculdade de Medicina (FMUSP), Universidade de Sao Paulo, Sao Paulo, SP, BR
- Laboratorio Neuro-Imagem em Psiquiatria (LIM/21), Departamento e Instituto de Psiquiatria, Faculdade de Medicina (FMUSP), Universidade de Sao Paulo, Sao Paulo, SP, BR
- Escola de Ciencias Medicas, Santa Casa de Sao Paulo, Sao Paulo SP, BR
- *Corresponding Author. E-mail:
| | - Pedro Rosa
- Departamento e Instituto de Psiquiatria, Faculdade de Medicina (FMUSP), Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Paula Squarzoni
- Laboratorio Neuro-Imagem em Psiquiatria (LIM/21), Departamento e Instituto de Psiquiatria, Faculdade de Medicina (FMUSP), Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Fabio L.S. Duran
- Laboratorio Neuro-Imagem em Psiquiatria (LIM/21), Departamento e Instituto de Psiquiatria, Faculdade de Medicina (FMUSP), Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Jaqueline H. Tamashiro-Duran
- Laboratorio Neuro-Imagem em Psiquiatria (LIM/21), Departamento e Instituto de Psiquiatria, Faculdade de Medicina (FMUSP), Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Claudia C. Leite
- Departamento de Radiologia, Faculdade de Medicina (FMUSP), Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Paulo Lotufo
- Unidade de Pesquisa Clinica e Epidemiologia, Faculdade de Medicina (FMUSP), Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Marcia Scazufca
- Departamento e Instituto de Psiquiatria, Faculdade de Medicina (FMUSP), Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Tania C.T.F. Alves
- Departamento e Instituto de Psiquiatria, Faculdade de Medicina (FMUSP), Universidade de Sao Paulo, Sao Paulo, SP, BR
| | - Geraldo F. Busatto
- Laboratorio Neuro-Imagem em Psiquiatria (LIM/21), Departamento e Instituto de Psiquiatria, Faculdade de Medicina (FMUSP), Universidade de Sao Paulo, Sao Paulo, SP, BR
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9
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Gujski M, Pinkas J, Wierzbińska-Stępniak A, Owoc A, Bojar I. Does genetic testing for ERα gene polymorphisms provide new possibilities of treatment for cognitive function disorders in postmenopausal women? Arch Med Sci 2017; 13:1224-1232. [PMID: 28883865 PMCID: PMC5575213 DOI: 10.5114/aoms.2016.62451] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Accepted: 07/31/2016] [Indexed: 01/17/2023] Open
Abstract
It is commonly considered that cognitive abilities decrease with age, especially with respect to processing and psychomotor speed. It is an interesting issue whether, apart from the ageing process, the undergoing of menopause itself deteriorates cognitive functions, compared to women at reproductive age. Hopes for improvement of cognitive functions were pinned on the use of menopausal hormone therapy. However, the results of studies concerning the effect of hormone replacement therapy on cognition proved to be contradictory. It seems that the essence of the problem is more complicated than only estrogen deficiency. It is suggested that estrogen receptor α (ERα) polymorphism may be responsible for the differences in the effect of estrogens on cognitive processes. The article presents current knowledge concerning the effect of estrogens on the central nervous system, especially the role of ERα polymorphism, with respect to foreseeing benefits from the use of exogenous estrogens for cognitive functions. At the present stage of research, ERα appears to be poorly specific; nevertheless, it may be an important instrument for the classification of peri- and post-menopausal patients in the group where therapy with the use of estrogens may bring about benefits in terms of prevention and treatment of cognitive disorders. It also seems necessary to conduct prophylactic, screening examination of cognitive functions in post-menopausal women, in order to identify those at risk of the development of dementia.
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Affiliation(s)
- Mariusz Gujski
- Department of Prevention of Environmental Hazards and Allergology, Medical University of Warsaw, Warsaw, Poland
| | - Jarosław Pinkas
- School of Public Health, Center of Postgraduate Medical Education, Warsaw, Poland
| | | | - Alfred Owoc
- Center for Public Health and Health Promotion, Institute of Rural Health, Lublin, Poland
| | - Iwona Bojar
- Department for Woman Health, Institute of Rural Health, Lublin, Poland
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10
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Wu JZ, Pan CS, Wimer BM, Rosen CL. An improved finite element modeling of the cerebrospinal fluid layer in the head impact analysis. Biomed Mater Eng 2017; 28:187-199. [PMID: 28372270 DOI: 10.3233/bme-171666] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The finite element (FE) method has been widely used to investigate the mechanism of traumatic brain injuries (TBIs), because it is technically difficult to quantify the responses of the brain tissues to the impact in experiments. One of technical challenges to build a FE model of a human head is the modeling of the cerebrospinal fluid (CSF) of the brain. In the current study, we propose to use membrane elements to construct the CSF layer. Using the proposed approach, we demonstrate that a head model can be built by using existing meshes available in commercial databases, without using any advanced meshing software tool, and with the sole use of native functions of the FE package Abaqus. The calculated time histories of the intracranial pressures at frontal, posterior fossa, parietal, and occipital positions agree well with the experimental data and the simulations in the literature, indicating that the physical effects of the CSF layer have been accounted for in the proposed modeling approach. The proposed modeling approach would be useful for bioengineers to solve practical problems.
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Affiliation(s)
- John Z Wu
- National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA
| | - Christopher S Pan
- National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA
| | - Bryan M Wimer
- National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA
| | - Charles L Rosen
- Department of Neurosurgery, West Virginia University, Morgantown, West Virginia, USA
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11
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Aging of cerebral white matter. Ageing Res Rev 2017; 34:64-76. [PMID: 27865980 DOI: 10.1016/j.arr.2016.11.006] [Citation(s) in RCA: 161] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 10/21/2016] [Accepted: 11/04/2016] [Indexed: 12/12/2022]
Abstract
White matter (WM) occupies a large volume of the human cerebrum and is mainly composed of myelinated axons and myelin-producing glial cells. The myelinated axons within WM are the structural foundation for efficient neurotransmission between cortical and subcortical areas. Similar to neuron-enriched gray matter areas, WM undergoes a series of changes during the process of aging. WM malfunction can induce serious neurobehavioral and cognitive impairments. Thus, age-related changes in WM may contribute to the functional decline observed in the elderly. In addition, aged WM becomes more susceptible to neurological disorders, such as stroke, traumatic brain injury (TBI), and neurodegeneration. In this review, we summarize the structural and functional alterations of WM in natural aging and speculate on the underlying mechanisms. We also discuss how age-related WM changes influence the progression of various brain disorders, including ischemic and hemorrhagic stroke, TBI, Alzheimer's disease, and Parkinson's disease. Although the physiology of WM is still poorly understood relative to gray matter, WM is a rational therapeutic target for a number of neurological and psychiatric conditions.
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12
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Luo Y, Xiao Q, Chao F, He Q, Lv F, Zhang L, Gao Y, Qiu X, Huang C, Li Y, Wang S, Jiang R, Gu H, Tang Y. 17β-estradiol replacement therapy protects myelin sheaths in the white matter of middle-aged female ovariectomized rats: a stereological study. Neurobiol Aging 2016; 47:139-148. [PMID: 27592282 DOI: 10.1016/j.neurobiolaging.2016.07.023] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Revised: 07/29/2016] [Accepted: 07/31/2016] [Indexed: 12/28/2022]
Abstract
Many studies have shown that estrogen replacement therapy (ERT) can improve cognitive function and affect the structure of the brain, including the white matter, in postmenopausal women. However, it is unclear whether ERT plays an important role in white matter remodeling in postmenopausal women. In the present study, middle-aged (9-12-month-old) female Sprague-Dawley rats were bilaterally ovariectomized (OVX) and randomly allocated to the vehicle treatment (OVX+Veh) group or the 17β-estradiol replacement (OVX+E) group. After 1 month of treatment, spatial learning and memory capacities were assessed using the Morris water maze task. Then, stereological methods were used to quantitatively evaluate white matter volume and myelinated fiber parameters of the white matter in the 2 groups of rats. The results revealed that the mean escape latency of the OVX+E rats in the Morris water maze task was significantly shorter than that of the OVX+Veh rats. The volume density of the myelinated fibers and the volume density and total volume of the myelin sheaths were significantly greater in the OVX+E rats than in the OVX+Veh rats. However, there were no significant differences in white matter volume or in the total length or volume of myelinated fibers in white matter between the 2 groups of rats. Our results showed that 1 month of ERT had significant beneficial effects on spatial learning capacity and on the myelin sheaths and myelinated fibers in the white matter of middle-aged OVX rats.
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Affiliation(s)
- Yanmin Luo
- Department of Laboratory Medicine, Key Laboratory of Diagnostic Medicine, Ministry of Education, Chongqing Medical University, Chongqing, PR China; Department of Histology and Embryology, Chongqing Medical University, Chongqing, PR China; Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China
| | - Qian Xiao
- Department of Laboratory Medicine, Key Laboratory of Diagnostic Medicine, Ministry of Education, Chongqing Medical University, Chongqing, PR China; Department of Histology and Embryology, Chongqing Medical University, Chongqing, PR China; Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China
| | - Fenglei Chao
- Department of Histology and Embryology, Chongqing Medical University, Chongqing, PR China; Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China
| | - Qi He
- Department of Histology and Embryology, Chongqing Medical University, Chongqing, PR China; Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China
| | - Fulin Lv
- Department of Histology and Embryology, Chongqing Medical University, Chongqing, PR China; Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China
| | - Lei Zhang
- Department of Histology and Embryology, Chongqing Medical University, Chongqing, PR China; Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China
| | - Yuan Gao
- Department of Histology and Embryology, Chongqing Medical University, Chongqing, PR China; Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China
| | - Xuan Qiu
- Department of Histology and Embryology, Chongqing Medical University, Chongqing, PR China; Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China
| | - Chunxia Huang
- Department of Physiology, Chongqing Medical University, Chongqing, PR China
| | - Yongde Li
- Department of Histology and Embryology, Chongqing Medical University, Chongqing, PR China; Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China
| | - Sanrong Wang
- Department of Histology and Embryology, Chongqing Medical University, Chongqing, PR China; Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China
| | - Rong Jiang
- Department of Histology and Embryology, Chongqing Medical University, Chongqing, PR China; Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China
| | - Hengwei Gu
- Department of Histology and Embryology, Chongqing Medical University, Chongqing, PR China; Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China
| | - Yong Tang
- Department of Histology and Embryology, Chongqing Medical University, Chongqing, PR China; Laboratory of Stem Cells and Tissue Engineering, Chongqing Medical University, Chongqing, PR China.
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13
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Braden BB, Dassel KB, Bimonte-Nelson HA, O'Rourke HP, Connor DJ, Moorhous S, Sabbagh MN, Caselli RJ, Baxter LC. Sex and post-menopause hormone therapy effects on hippocampal volume and verbal memory. AGING NEUROPSYCHOLOGY AND COGNITION 2016; 24:227-246. [PMID: 27263667 DOI: 10.1080/13825585.2016.1182962] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Many studies suggest sex differences in memory and hippocampal size, and that hormone therapy (HT) may positively affect these measures in women; however, the parameters of HT use that most likely confer benefits are debated. We evaluated the impact of sex and postmenopausal HT use on verbal learning and memory and hippocampal size in 94 cognitively intact women and 49 men. Using analysis of covariance that controlled for age and education, women had better total word learning and delayed verbal memory performance than men. HT analyses showed that non-HT users performed similarly to men, while HT users performed better than men in Delayed Memory regardless of whether use was current or in the past. Women had larger hippocampal volumes than men regardless of whether they were HT users. Using univariate linear models, we assessed group differences in the predictive value of hippocampal volumes for verbal learning and memory. Hippocampal size significantly predicted memory performance for men and non-HT users, but not for HT users. This lack of relationship between hippocampal size and verbal learning and memory performance in HT users suggests HT use may impact memory through extra-hippocampal neural systems.
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Affiliation(s)
- B Blair Braden
- a Department of Neuropsychology , Barrow Neurological Institute , Phoenix , AZ , USA
| | - Kara B Dassel
- a Department of Neuropsychology , Barrow Neurological Institute , Phoenix , AZ , USA
| | | | - Holly P O'Rourke
- b Department of Psychology , Arizona State University , Tempe , AZ , USA
| | - Donald J Connor
- c The Cleo Roberts Center for Clinical Research, Banner Sun Health Research Institute , Sun City , AZ , USA
| | - Sallie Moorhous
- a Department of Neuropsychology , Barrow Neurological Institute , Phoenix , AZ , USA
| | - Marwan N Sabbagh
- c The Cleo Roberts Center for Clinical Research, Banner Sun Health Research Institute , Sun City , AZ , USA
| | - Richard J Caselli
- d Department of Neurology , Mayo Clinic Arizona , Scottsdale , AZ , USA
| | - Leslie C Baxter
- a Department of Neuropsychology , Barrow Neurological Institute , Phoenix , AZ , USA
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Ryan J, Artero S, Carrière I, Maller JJ, Meslin C, Ritchie K, Ancelin ML. GWAS-identified risk variants for major depressive disorder: Preliminary support for an association with late-life depressive symptoms and brain structural alterations. Eur Neuropsychopharmacol 2016; 26:113-125. [PMID: 26391493 DOI: 10.1016/j.euroneuro.2015.08.022] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Revised: 08/28/2015] [Accepted: 08/29/2015] [Indexed: 11/30/2022]
Abstract
A number of genome-wide association studies (GWAS) have investigated risk factors for major depressive disorder (MDD), however there has been little attempt to replicate these findings in population-based studies of depressive symptoms. Variants within three genes, BICC1, PCLO and GRM7 were selected for replication in our study based on the following criteria: they were identified in a prior MDD GWAS study; a subsequent study found evidence that they influenced depression risk; and there is a solid biological basis for a role in depression. We firstly investigated whether these variants were associated with depressive symptoms in our population-based cohort of 929 elderly (238 with clinical depressive symptoms and 691 controls), and secondly to investigate associations with structural brain alterations. A number of nominally significant associations were identified, but none reached Bonferroni-corrected significance levels. Common SNPs in BICC1 and PCLO were associated with a 50% and 30% decreased risk of depression, respectively. PCLO rs2522833 was also associated with the volume of grey matter (p=1.6×10(-3)), and to a lesser extent with hippocampal volume and white matter lesions. Among depressed individuals rs9870680 (GRM7) was associated with the volume of grey and white matter (p=10(-4) and 8.3×10(-3), respectively). Our results provide some support for the involvement of BICC1 and PCLO in late-life depressive disorders and preliminary evidence that these genetic variants may also influence brain structural volumes. However effect sizes remain modest and associations did not reach corrected significance levels. Further large imaging studies are needed to confirm our findings.
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Affiliation(s)
- Joanne Ryan
- Inserm, U1061, Montpellier F-34093; Université Montpellier, Montpellier F-34000, France; Disease Epigenetics Group, Murdoch Childrens Research Institute & Department of Paediatrics, University of Melbourne, Parkville 3052, Victoria, Australia.
| | - Sylvaine Artero
- Inserm, U1061, Montpellier F-34093; Université Montpellier, Montpellier F-34000, France
| | - Isabelle Carrière
- Inserm, U1061, Montpellier F-34093; Université Montpellier, Montpellier F-34000, France
| | - Jerome J Maller
- Monash Alfred Psychiatry Research Centre, The Alfred & Monash University Central Clinical School, Melbourne 3004, Victoria, Australia
| | - Chantal Meslin
- Centre for Mental Health Research, Australian National University, ACT, Canberra 0200, Australia
| | - Karen Ritchie
- Inserm, U1061, Montpellier F-34093; Université Montpellier, Montpellier F-34000, France; Faculty of Medicine, Imperial College, London SW7 2AZ, United Kingdom
| | - Marie-Laure Ancelin
- Inserm, U1061, Montpellier F-34093; Université Montpellier, Montpellier F-34000, France
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15
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Espeland MA, Brinton RD, Manson JE, Yaffe K, Hugenschmidt C, Vaughan L, Craft S, Edwards BJ, Casanova R, Masaki K, Resnick SM. Postmenopausal hormone therapy, type 2 diabetes mellitus, and brain volumes. Neurology 2015; 85:1131-8. [PMID: 26163429 DOI: 10.1212/wnl.0000000000001816] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2015] [Accepted: 06/03/2015] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To examine whether the effect of postmenopausal hormone therapy (HT) on brain volumes in women aged 65-79 years differs depending on type 2 diabetes status during postintervention follow-up of a randomized controlled clinical trial. METHODS The Women's Health Initiative randomized clinical trials assigned women to HT (0.625 mg/day conjugated equine estrogens with or without 2.5 mg/day medroxyprogesterone acetate) or placebo for an average of 5.6 years. A total of 1,402 trial participants underwent brain MRI 2.4 years after the trials; these were repeated in 699 women 4.7 years later. General linear models were used to assess the interaction between diabetes status and HT assignment on brain volumes. RESULTS Women with diabetes at baseline or during follow-up who had been assigned to HT compared to placebo had mean decrement in total brain volume of -18.6 mL (95% confidence interval [CI] -29.6, -7.6). For women without diabetes, this mean decrement was -0.4 (95% CI -3.8, 3.0) (interaction p=0.002). This interaction was evident for total gray matter (p<0.001) and hippocampal (p=0.006) volumes. It was not evident for changes in brain volumes over follow-up or for ischemic lesion volumes and was not influenced by diabetes duration or oral medications. CONCLUSIONS For women aged 65 years or older who are at increased risk for brain atrophy due to type 2 diabetes, prescription of postmenopausal HT is associated with lower gray matter (total and hippocampal) volumes. Interactions with diabetes and insulin resistance may explain divergent findings on how estrogen influences brain volume among older women.
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Affiliation(s)
- Mark A Espeland
- From the Departments of Biostatistical Sciences (M.A.E., R.C.), Internal Medicine (C.H., S.C.), and Social Sciences and Health Policy (L.V.), Wake Forest School of Medicine, Winston-Salem, NC; Departments of Pharmacology and Pharmaceutical Sciences, Biomedical Engineering, and Neurology (R.D.B.), University of Southern California, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Departments of Epidemiology and Biostatistics, Psychiatry, and Neurology (K.Y.), University of California, San Francisco; Department of Internal Medicine (B.J.E.), The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Geriatric Medicine (K.M.), University of Hawaii at Manoa, Honolulu, HI; and Laboratory of Behavioral Neuroscience (S.M.R.), Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD.
| | - Roberta Diaz Brinton
- From the Departments of Biostatistical Sciences (M.A.E., R.C.), Internal Medicine (C.H., S.C.), and Social Sciences and Health Policy (L.V.), Wake Forest School of Medicine, Winston-Salem, NC; Departments of Pharmacology and Pharmaceutical Sciences, Biomedical Engineering, and Neurology (R.D.B.), University of Southern California, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Departments of Epidemiology and Biostatistics, Psychiatry, and Neurology (K.Y.), University of California, San Francisco; Department of Internal Medicine (B.J.E.), The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Geriatric Medicine (K.M.), University of Hawaii at Manoa, Honolulu, HI; and Laboratory of Behavioral Neuroscience (S.M.R.), Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD
| | - JoAnn E Manson
- From the Departments of Biostatistical Sciences (M.A.E., R.C.), Internal Medicine (C.H., S.C.), and Social Sciences and Health Policy (L.V.), Wake Forest School of Medicine, Winston-Salem, NC; Departments of Pharmacology and Pharmaceutical Sciences, Biomedical Engineering, and Neurology (R.D.B.), University of Southern California, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Departments of Epidemiology and Biostatistics, Psychiatry, and Neurology (K.Y.), University of California, San Francisco; Department of Internal Medicine (B.J.E.), The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Geriatric Medicine (K.M.), University of Hawaii at Manoa, Honolulu, HI; and Laboratory of Behavioral Neuroscience (S.M.R.), Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD
| | - Kristine Yaffe
- From the Departments of Biostatistical Sciences (M.A.E., R.C.), Internal Medicine (C.H., S.C.), and Social Sciences and Health Policy (L.V.), Wake Forest School of Medicine, Winston-Salem, NC; Departments of Pharmacology and Pharmaceutical Sciences, Biomedical Engineering, and Neurology (R.D.B.), University of Southern California, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Departments of Epidemiology and Biostatistics, Psychiatry, and Neurology (K.Y.), University of California, San Francisco; Department of Internal Medicine (B.J.E.), The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Geriatric Medicine (K.M.), University of Hawaii at Manoa, Honolulu, HI; and Laboratory of Behavioral Neuroscience (S.M.R.), Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD
| | - Christina Hugenschmidt
- From the Departments of Biostatistical Sciences (M.A.E., R.C.), Internal Medicine (C.H., S.C.), and Social Sciences and Health Policy (L.V.), Wake Forest School of Medicine, Winston-Salem, NC; Departments of Pharmacology and Pharmaceutical Sciences, Biomedical Engineering, and Neurology (R.D.B.), University of Southern California, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Departments of Epidemiology and Biostatistics, Psychiatry, and Neurology (K.Y.), University of California, San Francisco; Department of Internal Medicine (B.J.E.), The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Geriatric Medicine (K.M.), University of Hawaii at Manoa, Honolulu, HI; and Laboratory of Behavioral Neuroscience (S.M.R.), Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD
| | - Leslie Vaughan
- From the Departments of Biostatistical Sciences (M.A.E., R.C.), Internal Medicine (C.H., S.C.), and Social Sciences and Health Policy (L.V.), Wake Forest School of Medicine, Winston-Salem, NC; Departments of Pharmacology and Pharmaceutical Sciences, Biomedical Engineering, and Neurology (R.D.B.), University of Southern California, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Departments of Epidemiology and Biostatistics, Psychiatry, and Neurology (K.Y.), University of California, San Francisco; Department of Internal Medicine (B.J.E.), The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Geriatric Medicine (K.M.), University of Hawaii at Manoa, Honolulu, HI; and Laboratory of Behavioral Neuroscience (S.M.R.), Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD
| | - Suzanne Craft
- From the Departments of Biostatistical Sciences (M.A.E., R.C.), Internal Medicine (C.H., S.C.), and Social Sciences and Health Policy (L.V.), Wake Forest School of Medicine, Winston-Salem, NC; Departments of Pharmacology and Pharmaceutical Sciences, Biomedical Engineering, and Neurology (R.D.B.), University of Southern California, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Departments of Epidemiology and Biostatistics, Psychiatry, and Neurology (K.Y.), University of California, San Francisco; Department of Internal Medicine (B.J.E.), The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Geriatric Medicine (K.M.), University of Hawaii at Manoa, Honolulu, HI; and Laboratory of Behavioral Neuroscience (S.M.R.), Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD
| | - Beatrice J Edwards
- From the Departments of Biostatistical Sciences (M.A.E., R.C.), Internal Medicine (C.H., S.C.), and Social Sciences and Health Policy (L.V.), Wake Forest School of Medicine, Winston-Salem, NC; Departments of Pharmacology and Pharmaceutical Sciences, Biomedical Engineering, and Neurology (R.D.B.), University of Southern California, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Departments of Epidemiology and Biostatistics, Psychiatry, and Neurology (K.Y.), University of California, San Francisco; Department of Internal Medicine (B.J.E.), The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Geriatric Medicine (K.M.), University of Hawaii at Manoa, Honolulu, HI; and Laboratory of Behavioral Neuroscience (S.M.R.), Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD
| | - Ramon Casanova
- From the Departments of Biostatistical Sciences (M.A.E., R.C.), Internal Medicine (C.H., S.C.), and Social Sciences and Health Policy (L.V.), Wake Forest School of Medicine, Winston-Salem, NC; Departments of Pharmacology and Pharmaceutical Sciences, Biomedical Engineering, and Neurology (R.D.B.), University of Southern California, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Departments of Epidemiology and Biostatistics, Psychiatry, and Neurology (K.Y.), University of California, San Francisco; Department of Internal Medicine (B.J.E.), The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Geriatric Medicine (K.M.), University of Hawaii at Manoa, Honolulu, HI; and Laboratory of Behavioral Neuroscience (S.M.R.), Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD
| | - Kamal Masaki
- From the Departments of Biostatistical Sciences (M.A.E., R.C.), Internal Medicine (C.H., S.C.), and Social Sciences and Health Policy (L.V.), Wake Forest School of Medicine, Winston-Salem, NC; Departments of Pharmacology and Pharmaceutical Sciences, Biomedical Engineering, and Neurology (R.D.B.), University of Southern California, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Departments of Epidemiology and Biostatistics, Psychiatry, and Neurology (K.Y.), University of California, San Francisco; Department of Internal Medicine (B.J.E.), The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Geriatric Medicine (K.M.), University of Hawaii at Manoa, Honolulu, HI; and Laboratory of Behavioral Neuroscience (S.M.R.), Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD
| | - Susan M Resnick
- From the Departments of Biostatistical Sciences (M.A.E., R.C.), Internal Medicine (C.H., S.C.), and Social Sciences and Health Policy (L.V.), Wake Forest School of Medicine, Winston-Salem, NC; Departments of Pharmacology and Pharmaceutical Sciences, Biomedical Engineering, and Neurology (R.D.B.), University of Southern California, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Departments of Epidemiology and Biostatistics, Psychiatry, and Neurology (K.Y.), University of California, San Francisco; Department of Internal Medicine (B.J.E.), The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Geriatric Medicine (K.M.), University of Hawaii at Manoa, Honolulu, HI; and Laboratory of Behavioral Neuroscience (S.M.R.), Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD
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Duriez Q, Crivello F, Mazoyer B. Sex-related and tissue-specific effects of tobacco smoking on brain atrophy: assessment in a large longitudinal cohort of healthy elderly. Front Aging Neurosci 2014; 6:299. [PMID: 25404916 PMCID: PMC4217345 DOI: 10.3389/fnagi.2014.00299] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Accepted: 10/15/2014] [Indexed: 01/07/2023] Open
Abstract
We investigated the cross-sectional and longitudinal effects of tobacco smoking on brain atrophy in a large cohort of healthy elderly participants (65–80 years). MRI was used for measuring whole brain (WB), gray matter (GM), white matter (WM), and hippocampus (HIP) volumes at study entry time (baseline, N = 1451), and the annualized rates of variation of these volumes using a 4-year follow-up MRI in a subpart of the cohort (N = 1111). Effects of smoking status (never, former, or current smoker) at study entry and of lifetime tobacco consumption on these brain phenotypes were studied using sex-stratified AN(C)OVAs, including other health parameters as covariates. At baseline, male current smokers had lower GM, while female current smokers had lower WM. In addition, female former smokers exhibited reduced baseline HIP, the reduction being correlated with lifetime tobacco consumption. Longitudinal analyses demonstrated that current smokers, whether men or women, had larger annualized rates of HIP atrophy, as compared to either non or former smokers, independent of their lifetime consumption of tobacco. There was no effect of smoking on the annualized rate of WM loss. In all cases, measured sizes of these tobacco-smoking effects were of the same order of magnitude than those of age, and larger than effect sizes of any other covariate. These results demonstrate that tobacco smoking is a major factor of brain aging, with sex- and tissue specific effects, notably on the HIP annualized rate of atrophy after the age of 65.
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Affiliation(s)
- Quentin Duriez
- Life Sciences, University of Bordeaux, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France ; Centre National de la Recherche Scientifique, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France ; Commisariat à l'Energie Atomique, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France
| | - Fabrice Crivello
- Life Sciences, University of Bordeaux, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France ; Centre National de la Recherche Scientifique, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France ; Commisariat à l'Energie Atomique, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France
| | - Bernard Mazoyer
- Life Sciences, University of Bordeaux, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France ; Centre National de la Recherche Scientifique, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France ; Commisariat à l'Energie Atomique, Neurofunctional Imaging Group (GIN) UMR5296 Bordeaux, France
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Cyprien F, Courtet P, Poulain V, Maller J, Meslin C, Bonafé A, Le Bars E, Ancelin ML, Ritchie K, Artero S. Corpus callosum size may predict late-life depression in women: a 10-year follow-up study. J Affect Disord 2014; 165:16-23. [PMID: 24882172 DOI: 10.1016/j.jad.2014.04.040] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2014] [Revised: 04/15/2014] [Accepted: 04/16/2014] [Indexed: 12/29/2022]
Abstract
BACKGROUND Recent research on late-life depression (LLD) pathophysiology suggests the implication of abnormalities in cerebral white matter and particularly in interhemispheric transfer. Corpus callosum (CC) is the main brain interhemispheric commissure. Hence, we investigated the association between baseline CC measures and risk of LDD. METHODS We studied 467 non-demented individuals without LLD at baseline from a cohort of elderly community-dwelling people (the ESPRIT study). LLD was assessed at year 2, 4, 7 and 10 of the study follow-up. At baseline, T1-weighted magnetic resonance images were manually traced to measure the mid-sagittal areas of the anterior, mid and posterior CC. Multivariate Cox proportional hazards models stratified by sex were used to predict LLD incidence over 10 years. RESULTS A significant interaction between gender and CC size was found (p=0.02). LLD incidence in elderly women, but not in men, was significantly associated with smaller anterior (HR 1.37 [1.05-1.79] p=0.017), mid (HR 1.43 [1.09-1.86] p=0.008), posterior (HR 1.39 [1.12-1.74] p=0.002) and total (HR 1.53 [1.16-2.00] p=0.002) CC areas at baseline in Cox models adjusted for age, education, global cognitive impairment, ischemic pathologies, left-handedness, white matter lesion, intracranial volume and past depression. LIMITATIONS The main limitation was the retrospective assessment of major depression. CONCLUSION Smaller CC size is a predictive factor of incident LLD over 10 years in elderly women independently of cognitive deterioration. Our finding suggests a possible role of CC and reduced interhemispheric connectivity in LLD pathophysiology. Extensive explorations are needed to clarify the mechanisms leading to CC morphometric changes in mood disorders.
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Affiliation(s)
- Fabienne Cyprien
- Inserm, U1061, La Colombière Hospital, Montpellier F-34093, France; University of Montpellier 1, Montpellier F-34000, France; CHRU Carémeau, Nîmes, France
| | - Philippe Courtet
- Inserm, U1061, La Colombière Hospital, Montpellier F-34093, France; University of Montpellier 1, Montpellier F-34000, France; CHRU Montpellier, Montpellier, France
| | - Vanessa Poulain
- Inserm, U1061, La Colombière Hospital, Montpellier F-34093, France
| | - Jerome Maller
- Monash Alfred Psychiatry Research Centre, The Alfred & Monash University School of Psychology and Psychiatry, Melbourne, Australia
| | - Chantal Meslin
- Centre for Mental Health Research, Australian National University, Canberra, Australia
| | - Alain Bonafé
- University of Montpellier 1, Montpellier F-34000, France; CHRU Montpellier, Montpellier, France
| | | | - Marie-Laure Ancelin
- Inserm, U1061, La Colombière Hospital, Montpellier F-34093, France; University of Montpellier 1, Montpellier F-34000, France
| | - Karen Ritchie
- Inserm, U1061, La Colombière Hospital, Montpellier F-34093, France; University of Montpellier 1, Montpellier F-34000, France; Faculty of Medicine, Imperial College, St Mary׳s Hospital, London, United Kingdom
| | - Sylvaine Artero
- Inserm, U1061, La Colombière Hospital, Montpellier F-34093, France; University of Montpellier 1, Montpellier F-34000, France.
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