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Stickel AM, Tarraf W, Gonzalez KA, Paredes AM, Zeng D, Cai J, Isasi CR, Kaplan R, Lipton RB, Daviglus ML, Testai FD, Lamar M, Gallo LC, Talavera GA, Gellman MD, Ramos AR, Ivanovic V, Seiler S, González HM, DeCarli C. Cardiovascular disease risk exacerbates brain aging among Hispanic/Latino adults in the SOL-INCA-MRI Study. Front Aging Neurosci 2024; 16:1390200. [PMID: 38778863 PMCID: PMC11110680 DOI: 10.3389/fnagi.2024.1390200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 04/09/2024] [Indexed: 05/25/2024] Open
Abstract
Background Cardiovascular disease (CVD) risk factors are highly prevalent among Hispanic/Latino adults, while the prevalence of MRI infarcts is not well-documented. We, therefore, sought to examine the relationships between CVD risk factors and infarcts with brain structure among Hispanic/Latino individuals. Methods Participants included 1,886 Hispanic/Latino adults (50-85 years) who underwent magnetic resonance imaging (MRI) as part of the Study of Latinos-Investigation of Neurocognitive Aging-MRI (SOL-INCA-MRI) study. CVD risk was measured approximately 10.5 years before MRI using the Framingham cardiovascular risk score, a measure of 10-year CVD risk (low (<10%), medium (10- < 20%), and high (≥20%)). MR infarcts were determined as present or absent. Outcomes included total brain, cerebral and lobar cortical gray matter, hippocampal, lateral ventricle, and total white matter hyperintensity (WMH) volumes. Linear regression models tested associations between CVD risk and infarct with MRI outcomes and for modifications by age and sex. Results Sixty percent of participants were at medium or high CVD risk. Medium and high CVD risk were associated with lower total brain and frontal gray matter and higher WMH volumes compared to those with low CVD risk. High CVD risk was additionally associated with lower total cortical gray matter and parietal volumes and larger lateral ventricle volumes. Men tended to have greater CVDRF-related differences in total brain volumes than women. The association of CVD risk factors on total brain volumes increased with age, equal to an approximate 7-year increase in total brain aging among the high-CVD-risk group compared to the low-risk group. The presence of infarct(s) was associated with lower total brain volumes, which was equal to an approximate 5-year increase in brain aging compared to individuals without infarcts. Infarcts were also associated with smaller total cortical gray matter, frontal and parietal volumes, and larger lateral ventricle and WMH volumes. Conclusion The high prevalence of CVD risk among Hispanic/Latino adults may be associated with accelerated brain aging.
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Affiliation(s)
- Ariana M. Stickel
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - Wassim Tarraf
- Department of Healthcare Sciences, Institute of Gerontology, Wayne State University, Detroit, MI, United States
| | - Kevin A. Gonzalez
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
| | | | - Donglin Zeng
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Carmen R. Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Robert Kaplan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Richard B. Lipton
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Martha L. Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, College of Medicine, Chicago, IL, United States
| | - Fernando D. Testai
- Department of Neurology & Neurorehabilitation, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States
| | - Melissa Lamar
- Institute for Minority Health Research, University of Illinois at Chicago, College of Medicine, Chicago, IL, United States
- Rush Alzheimer’s Disease Research Center, Rush University Medical Center, Chicago, IL, United States
| | - Linda C. Gallo
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - Gregory A. Talavera
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - Marc D. Gellman
- Department of Psychology, University of Miami, Miami, FL, United States
| | - Alberto R. Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Vladimir Ivanovic
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Stephan Seiler
- Department of Neurology, Klinikum Klagenfurt, Klagenfurt, Austria
| | - Hector M. González
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
| | - Charles DeCarli
- Department of Neurology, University of California at Davis, Davis, CA, United States
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Nguyen H, Vasconcellos HD, Keck K, Carr J, Launer LJ, Guallar E, Lima JAC, Ambale-Venkatesh B. Utility of multimodal longitudinal imaging data for dynamic prediction of cardiovascular and renal disease: the CARDIA study. FRONTIERS IN RADIOLOGY 2024; 4:1269023. [PMID: 38476649 PMCID: PMC10927728 DOI: 10.3389/fradi.2024.1269023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 02/06/2024] [Indexed: 03/14/2024]
Abstract
Background Medical examinations contain repeatedly measured data from multiple visits, including imaging variables collected from different modalities. However, the utility of such data for the prediction of time-to-event is unknown, and only a fraction of the data is typically used for risk prediction. We hypothesized that multimodal longitudinal imaging data could improve dynamic disease prognosis of cardiovascular and renal disease (CVRD). Methods In a multi-centered cohort of 5,114 CARDIA participants, we included 166 longitudinal imaging variables from five imaging modalities: Echocardiography (Echo), Cardiac and Abdominal Computed Tomography (CT), Dual-Energy x-ray Absorptiometry (DEXA), Brain Magnetic Resonance Imaging (MRI) collected from young adulthood to mid-life over 30 years (1985-2016) to perform dynamic survival analysis of CVRD events using machine learning dynamic survival analysis (Dynamic-DeepHit, LTRCforest, and Extended Cox for Time-varying Covariates). Risk probabilities were continuously updated as new data were collected. Model performance was assessed using integrated AUC and C-index and compared to traditional risk factors. Results Longitudinal imaging data, even when being irregularly collected with high missing rates, improved CVRD dynamic prediction (0.03 in integrated AUC, up to 0.05 in C-index compared to traditional risk factors; best model's C-index = 0.80-0.83 up to 20 years from baseline) from young adulthood followed up to midlife. Among imaging variables, Echo and CT variables contributed significantly to improved risk estimation. Echo measured in early adulthood predicted midlife CVRD risks almost as well as Echo measured 10-15 years later (0.01 C-index difference). The most recent CT exam provided the most accurate prediction for short-term risk estimation. Brain MRI markers provided additional information from cardiac Echo and CT variables that led to a slightly improved prediction. Conclusions Longitudinal multimodal imaging data readily collected from follow-up exams can improve CVRD dynamic prediction. Echocardiography measured early can provide a good long-term risk estimation, while CT/calcium scoring variables carry atherosclerotic signatures that benefit more immediate risk assessment starting in middle-age.
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Affiliation(s)
- Hieu Nguyen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
| | | | - Kimberley Keck
- Department of Cardiology, Johns Hopkins University, Baltimore, MD, United States
| | - Jeffrey Carr
- Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, MD, United States
| | - Eliseo Guallar
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - João A. C. Lima
- Department of Cardiology, Johns Hopkins University, Baltimore, MD, United States
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Chen X, Bao Y, Zhao J, Wang Z, Gao Q, Ma M, Xie Z, He M, Deng X, Ran J. Associations of Triglycerides and Atherogenic Index of Plasma with Brain Structure in the Middle-Aged and Elderly Adults. Nutrients 2024; 16:672. [PMID: 38474800 DOI: 10.3390/nu16050672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 02/22/2024] [Accepted: 02/26/2024] [Indexed: 03/14/2024] Open
Abstract
Triglyceride (TG) and atherogenic index of plasma (AIP) have been acknowledged to be risk factors for vascular insults, but their impacts on the brain system remain elusive. To fill in some gaps, we investigated associations of TG and AIP with brain structure, leveraging the UK Biobank database. TG and high-density lipoprotein cholesterol (HDL-C) were examined at baseline and AIP was calculated as log (TG/HDL-C). We build several linear regression models to estimate associations of TG and AIP with volumes of brain grey matter phenotypes. Significant inverse associations of TG and AIP with volumes of specific subcortical traits were observed, among which TG and AIP were most significantly associated with caudate nucleus (TG: β [95% confidence interval CI] = -0.036 [-0.051, -0.022], AIP: -0.038 [-0.053, -0.023]), thalamus (-0.029 [-0.042, -0.017], -0.032 [-0.045, -0.019]). Higher TG and AIP were also considerably related with reduced cortical structure volumes, where two most significant associations of TG and AIP were with insula (TG: -0.035 [-0.048, -0.022], AIP: -0.038 [-0.052, -0.025]), superior temporal gyrus (-0.030 [-0.043, -0.017], -0.033 [-0.047, -0.020]). Modification effects of sex and regular physical activity on the associations were discovered as well. Our findings show adverse associations of TG and AIP with grey matter volumes, which has essential public health implications for early prevention in neurodegenerative diseases.
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Affiliation(s)
- Xixi Chen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yujia Bao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jiahao Zhao
- Department of Foundational Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou 215000, China
| | - Ziyue Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Qijing Gao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Mingyang Ma
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Ziwen Xie
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Mu He
- Department of Foundational Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou 215000, China
| | - Xiaobei Deng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jinjun Ran
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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Kaplan H, Hooper PL, Gatz M, Mack WJ, Law EM, Chui HC, Sutherland ML, Sutherland JD, Rowan CJ, Wann LS, Allam AH, Thompson RC, Michalik DE, Lombardi G, Miyamoto MI, Eid Rodriguez D, Copajira Adrian J, Quispe Gutierrez R, Beheim BA, Cummings DK, Seabright E, Alami S, R. Garcia A, Buetow K, Thomas GS, Finch CE, Stieglitz J, Trumble BC, Gurven MD, Irimia A. Brain volume, energy balance, and cardiovascular health in two nonindustrial South American populations. Proc Natl Acad Sci U S A 2023; 120:e2205448120. [PMID: 36940322 PMCID: PMC10068758 DOI: 10.1073/pnas.2205448120] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 01/24/2023] [Indexed: 03/22/2023] Open
Abstract
Little is known about brain aging or dementia in nonindustrialized environments that are similar to how humans lived throughout evolutionary history. This paper examines brain volume (BV) in middle and old age among two indigenous South American populations, the Tsimane and Moseten, whose lifestyles and environments diverge from those in high-income nations. With a sample of 1,165 individuals aged 40 to 94, we analyze population differences in cross-sectional rates of decline in BV with age. We also assess the relationships of BV with energy biomarkers and arterial disease and compare them against findings in industrialized contexts. The analyses test three hypotheses derived from an evolutionary model of brain health, which we call the embarrassment of riches (EOR). The model hypothesizes that food energy was positively associated with late life BV in the physically active, food-limited past, but excess body mass and adiposity are now associated with reduced BV in industrialized societies in middle and older ages. We find that the relationship of BV with both non-HDL cholesterol and body mass index is curvilinear, positive from the lowest values to 1.4 to 1.6 SDs above the mean, and negative from that value to the highest values. The more acculturated Moseten exhibit a steeper decrease in BV with age than Tsimane, but still shallower than US and European populations. Lastly, aortic arteriosclerosis is associated with lower BV. Complemented by findings from the United States and Europe, our results are consistent with the EOR model, with implications for interventions to improve brain health.
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Affiliation(s)
- Hillard Kaplan
- Economic Science Institute, Chapman University, Orange, CA82866
| | - Paul L. Hooper
- Economic Science Institute, Chapman University, Orange, CA82866
- Department of Anthropology, University of New Mexico, Albuquerque, NM87131
| | - Margaret Gatz
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA90089
| | - Wendy J. Mack
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA90089
| | - E. Meng Law
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA90089
- Department of Radiology, The Alfred Health Hospital, Melbourne, VIC3004, Australia
- iBRAIN Research Laboratory, Departments of Neuroscience, Computer Systems and Electrical Engineering, Monash University, Melbourne, VIC3800, Australia
| | - Helena C. Chui
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA90089
- Alzheimer’s Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, CA90089
| | | | | | - Christopher J. Rowan
- Renown Institute for Heart and Vascular Health, Reno, NV89502
- School of Medicine, University of Nevada, Reno, NV89557
| | - L. Samuel Wann
- Division of Cardiology, University of New Mexico, Albuquerque, NM87131
| | - Adel H. Allam
- Department of Cardiology, School of Medicine, Al-Azhar University, Al Mikhaym Al Daem, Cairo4334003, Egypt
| | - Randall C. Thompson
- Saint Luke’s Mid America Heart Institute, University of Missouri - Kansas City, Kansas City, MO64111
| | - David E. Michalik
- Department of Pediatrics, School of Medicine, University of California at Irvine, Orange, CA92617
- MemorialCare Miller Children’s and Women’s Hospital, Long Beach, CA90806
| | - Guido Lombardi
- Laboratorio de Paleopatologia, Catedra Pedro Weiss, Universidad Peruana Cayetano Heredia, Lima15102, Peru
| | | | | | | | | | - Bret A. Beheim
- Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig04103, Germany
| | | | - Edmond Seabright
- Department of Anthropology, University of New Mexico, Albuquerque, NM87131
- School of Collective Intelligence, Universite Mohammed 6 Polytechnic, Ben Guerir43150, Morocco
| | - Sarah Alami
- School of Collective Intelligence, Universite Mohammed 6 Polytechnic, Ben Guerir43150, Morocco
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA93106
| | - Angela R. Garcia
- Scientific Research Core, Phoenix Children’s Hospital, Phoenix, AZ85016
- Department of Child Health, University of Arizona, Tucson, AZ85724
| | - Kenneth Buetow
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ85287
| | - Gregory S. Thomas
- MemorialCare Health Systems, Fountain Valley, CA92708
- Division of Cardiology, University of California, Irvine, Orange, CA92868
| | - Caleb E. Finch
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA90089
- Department of Biological Sciences, Anthropology and Psychology, University of Southern California, Los Angeles, CA90089
| | - Jonathan Stieglitz
- Institute for Advanced Study in Toulouse, Toulouse 1 Capitole University, Toulouse31000, France
| | - Benjamin C. Trumble
- Center for Evolution and Medicine, School of Human Evolution and Social Change, Arizona State University, Tempe, AZ85287
| | - Michael D. Gurven
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA93106
| | - Andrei Irimia
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA90089
- Corwin D. Denney Research Center, Department of Biomedical Engineering, University of Southern California, Los Angeles, CA90089
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Bermejo PE, Dorado R, Zea-Sevilla MA. Role of Citicoline in Patients With Mild Cognitive Impairment. Neurosci Insights 2023; 18:26331055231152496. [PMID: 36818199 PMCID: PMC9936398 DOI: 10.1177/26331055231152496] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 01/06/2023] [Indexed: 02/18/2023] Open
Abstract
The term mild cognitive impairment (MCI) defines an intermediate state between normal aging and dementia. Vascular cognitive impairment refers to a decline in cognitive function that is caused by or associated with vascular disease and comprises all the spectrum of cognitive impairments, from MCI of vascular origin to vascular dementia. One of the available treatments for cognitive impairment is cytidine diphosphate-choline (CDP-Choline), or citicoline. The objective of the present manuscript is to provide complete evidence about the efficacy of citicoline for MCI, especially of vascular origin, but also due to other neurodegenerative disorders. Citicoline is a pharmaceutical product constituted by the combination of 2 natural molecules (cytidine and choline) and is marketed as a food supplement. It has been proposed to provide neuroprotective effects through diverse mechanisms of action. Taking into account the available literature, citicoline has shown a consistent improvement in cognitive function in patients with MCI, especially of vascular origin. Moreover, it provides beneficial effects on vascular, Alzheimer, and mixed dementias, stroke sequelae, intracerebral hemorrhages, traumatic brain injuries, and neurodegenerative diseases. Long-term treatment with citicoline has also been demonstrated to be well-tolerated and has not been associated with severe adverse events. Citicoline is a safe, well-tolerated, and promising agent with evidenced neuroprotective properties.
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Affiliation(s)
- Pedro E Bermejo
- University Hospital Puerta de Hierro-Majadahonda, Madrid, Spain,Instituto Neurológico Beremia, Madrid, Spain,Pedro E Bermejo, Department of Neurology, University Hospital Puerta de Hierro-Majadahonda, C/Joaquín Rodrigo, 1, Majadahonda 28222, Madrid, Spain.
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Zhang C, Li M, Xie W, Li M, You C, Wang T, Fu F. Administration of Huperzine A microspheres ameliorates myocardial ischemic injury via α7nAChR-dependent JAK2/STAT3 signaling pathway. Eur J Pharmacol 2023; 940:175478. [PMID: 36563953 DOI: 10.1016/j.ejphar.2022.175478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 12/17/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
Acetylcholinesterase (AChE) inhibitor (AChEI) is well established as first-line agents for relieving the symptoms of Alzheimer's disease (AD). Injectable sustained-release formulation of AChEI may be suitable for treating AD patients. However, it needs to know whether continuous inhibition of AChE could deteriorate or attenuate myocardial damage if myocardial ischemia (MI) occurs. Huperzine A microspheres (HAM) are a sustained-release formulation releasing sustainably huperzine A (an AChEI) for more than 7 days after a single dose of HAM. This study aimed to investigate the myocardial damage in an isoprenaline (ISO)-induced MI mice model during HAM treatment. The heart injury was evaluated by assaying serum CK-MB, Tn-I and observing histopathological changes. The levels of proinflammatory cytokines in serum were detected. The level of p-P65 and the expression of proteins in the JAK2/STAT3 signaling pathway were assayed with Western blot. Administration with a single dose of HAM resulted in inhibiting the MI-induced increases of CK-MB and Tn-I, alleviating the damage of heart tissue, and decreasing the levels of TNF-α and IL-6. In addition, HAM decreased the levels of p-P65, p-JAK2, and p-STAT3 in heart tissue. The effects of HAM could be weakened or abolished by the specific α7nAChR antagonist. These findings suggest that continuous AChE inhibition could protect the heart from ischemic damage during administration of sustained-release formulation of AChEI, which is associated with the anti-inflammatory effect of HAM by regulating α7nAChR-dependent JAK2/STAT3 signaling pathway.
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Affiliation(s)
- Ce Zhang
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, 264005, PR China
| | - Mingan Li
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, 264005, PR China
| | - Wei Xie
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, 264005, PR China
| | - Min Li
- School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, PR China
| | - Chunna You
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, 264005, PR China
| | - Tian Wang
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, 264005, PR China.
| | - Fenghua Fu
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, 264005, PR China.
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Wei HL, Ao MQ, Wang MY, Zhou GP, Yu YS, Tao Q, Zhang H. Disrupted resting-state functional connectivity of the thalamus in patients with coronary heart disease. Heliyon 2023; 9:e13423. [PMID: 36814614 PMCID: PMC9939614 DOI: 10.1016/j.heliyon.2023.e13423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 12/17/2022] [Accepted: 01/30/2023] [Indexed: 02/04/2023] Open
Abstract
Background Although homeostasis of the cardiovascular system is regulated by the cerebral cortex via the autonomic nervous system, the role of abnormal brain functional connectivity (FC) networks in patients with cardiac dysfunction remains unclear. Here, we report thalamus-based FC alterations and their relationship with clinical characteristics in patients with coronary heart disease (CHD). Methods We employed resting-state functional magnetic resonance imaging (rs-fMRI) to acquire imaging data in twenty-six patients with CHD alongside sixteen healthy controls (HCs). Next, we performed a thalamus-based FC analysis to profile abnormal FC patterns in the whole brain. Subsequently, the mean time series of the brain regions that survived in the FC analysis were used to determine correlations with clinical parameters in patients with CHD. Results We found no statistically significant differences in demographic and clinical data between patients with CHD and HCs. Patients with CHD showed decreased FC patterns between bilateral thalami and left hemisphere, encompassing supplementary motor area, superior frontal gyrus, superior parietal gyrus, inferior parietal gyrus, middle cingulate cortex, lingual gyrus and calcarine sulcus. Conclusions These findings not only have implications in clarifying the relationship between cerebral functional imbalance and cardiovascular system, but also provide valuable insights to guide future evaluation and management of cardiac autonomic regulation via the brain-heart axis.
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Key Words
- ANS, autonomic nervous system
- CHD, coronary heart disease
- CNS, central nervous system
- CVD, cardiovascular disease
- Coronary heart disease
- DMN, default mode network
- ECN, executive control network
- FC, functional connectivity
- Functional connectivity analysis
- Functional magnetic resonance imaging
- IPG, inferior parietal gyrus
- MCC, middle cingulate cortex
- MCI, myocardial ischemia
- MoCA, Montreal Cognitive Assessment
- Resting-state
- Rs-fMRI, resting-state functional magnetic resonance imaging
- SFG, superior frontal gyrus
- SMA, supplementary motor area
- SMN, sensorimotor network
- SN, salient network
- SNS, sympathetic nervous system
- SPG, superior parietal gyrus
- Thalamus
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Affiliation(s)
- Heng-Le Wei
- Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Ming-Qiang Ao
- Department of Cardiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Meng-Yao Wang
- Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Gang-Ping Zhou
- Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Yu-Sheng Yu
- Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu 211100, China
| | - Qin Tao
- Department of Cardiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu 211100, China,Corresponding author.
| | - Hong Zhang
- Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu 211100, China,Corresponding author. Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, No. 169, Hushan Road, Nanjing, Jiangsu Province, 211100, China.
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8
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Szeszko PR, Bierer LM, Bader HN, Chu KW, Tang CY, Murphy KM, Hazlett EA, Flory JD, Yehuda R. Cingulate and hippocampal subregion abnormalities in combat-exposed veterans with PTSD. J Affect Disord 2022; 311:432-439. [PMID: 35598747 DOI: 10.1016/j.jad.2022.05.081] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 05/02/2022] [Accepted: 05/15/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND The hippocampus and cingulate gyrus are strongly interconnected brain regions that have been implicated in the neurobiology of post-traumatic stress disorder (PTSD). These brain structures are comprised of functionally distinct subregions that may contribute to the expression of PTSD symptoms or associated cardio-metabolic markers, but have not been well investigated in prior studies. METHODS Two divisions of the cingulate cortex (i.e., rostral and caudal) and 11 hippocampal subregions were investigated in 22 male combat-exposed veterans with PTSD and 22 male trauma-exposed veteran controls (TC). Cardio-metabolic measures included cholesterol, body mass index, and mean arterial pressure. RESULTS Individuals with PTSD had less caudal cingulate area compared to TC even after controlling for caudal cingulate thickness. Total hippocampus volume was lower in PTSD compared to TC, accounted for by differences in CA1-CA4, granule cell layer of the dentate gyrus, molecular layer, and subiculum. Individuals with PTSD had higher mean arterial pressure compared to TC, which correlated with hippocampus volume only in the PTSD group. LIMITATIONS Sample size, cross-sectional analysis, no control for medications and findings limited to males. CONCLUSIONS These data demonstrate preferential involvement of caudal cingulate area (vs. thickness) and hippocampus subregions in PTSD. The inverse association between hippocampus volume and mean arterial pressure may contribute to accelerated aging known to be associated with PTSD.
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Affiliation(s)
- Philip R Szeszko
- Mental Health Patient Care Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Linda M Bierer
- Mental Health Patient Care Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Heather N Bader
- Mental Health Patient Care Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - King-Wai Chu
- Mental Illness Research, Education, and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY, USA
| | - Cheuk Y Tang
- Mental Illness Research, Education, and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY, USA; Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katharine M Murphy
- Mental Health Patient Care Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Erin A Hazlett
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Mental Illness Research, Education, and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY, USA
| | - Janine D Flory
- Mental Health Patient Care Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rachel Yehuda
- Mental Health Patient Care Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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9
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Yang F, Hu T, He K, Ying J, Cui H. Multiple Sclerosis and the Risk of Cardiovascular Diseases: A Mendelian Randomization Study. Front Immunol 2022; 13:861885. [PMID: 35371017 PMCID: PMC8964627 DOI: 10.3389/fimmu.2022.861885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 02/21/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Observational studies suggested that multiple sclerosis (MS) is associated with cardiovascular diseases (CVDs). However, the causal association has not been fully elucidated. Thus, we aim to assess the causality of the associations of MS with risk of CVDs. METHODS A two-sample Mendelian randomization (MR) study was performed to explore the causality. Genetic instruments were identified for MS from a genome-wide association study (GWAS) involving 115,803 individuals. Summary-level data for CVDs were obtained from different GWAS meta-analysis studies. MR analysis was conducted mainly using the inverse-variance weighted (IVW) method. Sensitivity analyses were further performed to ensure the robustness of the results. RESULTS This MR study found suggestive evidence that genetic liability to MS was associated with an increased risk of coronary artery disease (CAD) [odds ratio (OR), 1.02; 95% confidence interval (CI), 1.00-1.04; p = 0.03], myocardial infarction (MI) (OR, 1.03; 95% CI, 1.00-1.06; p = 0.01), heart failure (HF) (OR, 1.02; 95% CI, 1.00-1.04; p = 0.02), all-cause stroke (AS) (OR, 1.02; 95% CI, 1.00-1.05; p = 0.02), and any ischemic stroke (AIS) (OR, 1.02; 95% CI, 1.00-1.05; p = 0.04). The null-association was observed between MS and the other CVDs. Further analyses found little evidence of pleiotropy. CONCLUSIONS We provided suggestive genetic evidence for the causal associations of MS with increased risk of CAD, MI, HF, AS, and AIS, which highlighted the significance of active monitoring and prevention of cardiovascular risk to combat cardiovascular comorbidities in MS patients.
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Affiliation(s)
- Fangkun Yang
- Department of Cardiology, Ningbo Hospital of Zhejiang University (Ningbo First Hospital), School of Medicine, Zhejiang University, Ningbo, China,Department of Cardiology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Zhejiang University, Hangzhou, China,Cardiology Center, Ningbo First Hospital, Ningbo University, Ningbo, China
| | - Teng Hu
- School of Medicine, Ningbo University, Ningbo First Hospital, Ningbo, China
| | - Kewan He
- School of Medicine, Ningbo University, Ningbo First Hospital, Ningbo, China
| | - Jiajun Ying
- Department of Cardiology, Ningbo Hospital of Zhejiang University (Ningbo First Hospital), School of Medicine, Zhejiang University, Ningbo, China
| | - Hanbin Cui
- Cardiology Center, Ningbo First Hospital, Ningbo University, Ningbo, China,*Correspondence: Hanbin Cui,
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10
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Sentis AI, Rasero J, Gianaros PJ, Verstynen TD. Integrating multiple brain imaging modalities does not boost prediction of subclinical atherosclerosis in midlife adults. NEUROIMAGE: CLINICAL 2022; 35:103134. [PMID: 36002967 PMCID: PMC9421527 DOI: 10.1016/j.nicl.2022.103134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 06/16/2022] [Accepted: 07/27/2022] [Indexed: 11/21/2022] Open
Abstract
Brain measures from MRI do not improve Framingham Risk Score prediction of CA-IMT. Prediction stacking is a flexible approach to determine added predictive utility. Multimodal stacking can be applied to individual difference factors.
Background Human neuroimaging evidence suggests that cardiovascular disease (CVD) risk may relate to functional and structural features of the brain. The present study tested whether combining functional and structural (multimodal) brain measures, derived from magnetic resonance imaging (MRI), would yield a multivariate brain biomarker that reliably predicts a subclinical marker of CVD risk, carotid-artery intima-media thickness (CA-IMT). Methods Neuroimaging, cardiovascular, and demographic data were assessed in 324 midlife and otherwise healthy adults who were free of (a) clinical CVD and (b) use of medications for chronic illnesses (aged 30–51 years, 49% female). We implemented a prediction stacking algorithm that combined multimodal brain imaging measures and Framingham Risk Scores (FRS) to predict CA-IMT. We included imaging measures that could be easily obtained in clinical settings: resting state functional connectivity and structural morphology measures from T1-weighted images. Results Our models reliably predicted CA-IMT using FRS, as well as for several individual MRI measures; however, none of the individual MRI measures outperformed FRS. Moreover, stacking functional and structural brain measures with FRS did not boost prediction accuracy above that of FRS alone. Conclusions Combining multimodal functional and structural brain measures through a stacking algorithm does not appear to yield a reliable brain biomarker of subclinical CVD, as reflected by CA-IMT.
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Affiliation(s)
- Amy Isabella Sentis
- Program in Neural Computation, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, PA, USA; Carnegie Mellon Neuroscience Institute, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, PA, USA
| | - Javier Rasero
- Carnegie Mellon Neuroscience Institute, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, PA, USA; Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Peter J Gianaros
- Carnegie Mellon Neuroscience Institute, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, PA, USA; Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Timothy D Verstynen
- Carnegie Mellon Neuroscience Institute, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, PA, USA; Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, USA; Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
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11
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Libowitz MR, Wei K, Tran T, Chu K, Moncrieffe K, Harrington MG, King K. Regional brain volumes relate to Alzheimer's disease cerebrospinal fluid biomarkers and neuropsychometry: A cross-sectional, observational study. PLoS One 2021; 16:e0254332. [PMID: 34292973 PMCID: PMC8297871 DOI: 10.1371/journal.pone.0254332] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Accepted: 06/27/2021] [Indexed: 11/18/2022] Open
Abstract
We hypothesized that automated assessment of brain volumes on MRI can predict presence of cerebrospinal fluid abnormal ß-amyloid42 and Tau protein levels and thus serve as a useful screening test for possible Alzheimer's disease. 113 participants ranging from cognitively healthy to Alzheimer's disease underwent MRI exams to obtain measurements of hippocampus, prefrontal cortex, precuneus, parietal cortex, and occipital lobe volumes. A non-exclusive subset (n = 107) consented to lumbar punctures to obtain cerebrospinal fluid for ß-amyloid42 and Tau protein assessment including cognitively health (n = 75), mild cognitively impaired (n = 22), and Alzheimer's disease (n = 10). After adjustment for false discovery rate, ß-amyloid42 was significantly associated with volumes in the hippocampus (p = 0.043), prefrontal cortex (p = 0.010), precuneus (p = 0.024), and the posterior cingulate (p = 0.002). No association between Tau levels and regional brain volume survived multiple test correction. Secondary analysis was performed to determine associations between MRI brain volumes and CSF protein levels to neuropsychological impairment. A non-exclusive subset (n = 96) including cognitively healthy (n = 72), mild cognitively impaired (n = 21), and Alzheimer's disease (n = 3) participants underwent Stroop Interference and Boston Naming neuropsychological testing. A higher score on the Boston Naming Test was optimally predicted in a selective regression model by greater hippocampus volume (p = 0.002), a higher ratio of ß-amyloid42 to Tau protein levels (p < 0.001), greater posterior cingulate volume (p = 0.0193), age (p = 0.0271), and a higher education level (p = 0.002). A better performance on the Stroop Interference Test was optimally predicted by greater hippocampus volume (p = 0.0003) and a higher education level (p < 0.001). Lastly, impaired cognitive status (mild cognitive impairment and Alzheimer's Disease) was optimally predicted in a selective regression model by a worse performance on the Stroop Interference Test (p < 0.001), a worse performance on the Boston Naming Test (p < 0.001), along with lower prefrontal cortex volume (p = 0.002) and lower hippocampus volume (p = 0.007).
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Affiliation(s)
- Mark R. Libowitz
- Magnetic Resonance Program, Huntington Medical Research Institutes, Pasadena, California, United States of America
- * E-mail:
| | - Ke Wei
- Magnetic Resonance Program, Huntington Medical Research Institutes, Pasadena, California, United States of America
| | - Thao Tran
- Magnetic Resonance Program, Huntington Medical Research Institutes, Pasadena, California, United States of America
| | - Karen Chu
- Magnetic Resonance Program, Huntington Medical Research Institutes, Pasadena, California, United States of America
| | - Kristina Moncrieffe
- Fuller Graduate School of Psychology, Pasadena, California, United States of America
| | - Michael G. Harrington
- Molecular Neurology Program, Huntington Medical Research Institutes, Pasadena, California, United States of America
| | - Kevin King
- Barrow Neurological Institute, Phoenix, Arizona, United States of America
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12
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Tsvetanov KA, Henson RNA, Jones PS, Mutsaerts H, Fuhrmann D, Tyler LK, Rowe JB. The effects of age on resting-state BOLD signal variability is explained by cardiovascular and cerebrovascular factors. Psychophysiology 2021; 58:e13714. [PMID: 33210312 PMCID: PMC8244027 DOI: 10.1111/psyp.13714] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 07/27/2020] [Accepted: 09/28/2020] [Indexed: 12/18/2022]
Abstract
Accurate identification of brain function is necessary to understand neurocognitive aging, and thereby promote health and well-being. Many studies of neurocognitive aging have investigated brain function with the blood-oxygen level-dependent (BOLD) signal measured by functional magnetic resonance imaging. However, the BOLD signal is a composite of neural and vascular signals, which are differentially affected by aging. It is, therefore, essential to distinguish the age effects on vascular versus neural function. The BOLD signal variability at rest (known as resting state fluctuation amplitude, RSFA), is a safe, scalable, and robust means to calibrate vascular responsivity, as an alternative to breath-holding and hypercapnia. However, the use of RSFA for normalization of BOLD imaging assumes that age differences in RSFA reflecting only vascular factors, rather than age-related differences in neural function (activity) or neuronal loss (atrophy). Previous studies indicate that two vascular factors, cardiovascular health (CVH) and cerebrovascular function, are insufficient when used alone to fully explain age-related differences in RSFA. It remains possible that their joint consideration is required to fully capture age differences in RSFA. We tested the hypothesis that RSFA no longer varies with age after adjusting for a combination of cardiovascular and cerebrovascular measures. We also tested the hypothesis that RSFA variation with age is not associated with atrophy. We used data from the population-based, lifespan Cam-CAN cohort. After controlling for cardiovascular and cerebrovascular estimates alone, the residual variance in RSFA across individuals was significantly associated with age. However, when controlling for both cardiovascular and cerebrovascular estimates, the variance in RSFA was no longer associated with age. Grey matter volumes did not explain age differences in RSFA, after controlling for CVH. The results were consistent between voxel-level analysis and independent component analysis. Our findings indicate that cardiovascular and cerebrovascular signals are together sufficient predictors of age differences in RSFA. We suggest that RSFA can be used to separate vascular from neuronal factors, to characterize neurocognitive aging. We discuss the implications and make recommendations for the use of RSFA in the research of aging.
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Affiliation(s)
- Kamen A. Tsvetanov
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Department of PsychologyCentre for Speech, Language and the BrainUniversity of CambridgeCambridgeUK
| | - Richard N. A. Henson
- Medical Research Council Cognition and Brain Sciences UnitCambridgeUK
- Department of PsychiatryUniversity of CambridgeCambridgeUK
| | - P. Simon Jones
- Department of PsychologyCentre for Speech, Language and the BrainUniversity of CambridgeCambridgeUK
| | - Henk Mutsaerts
- Department of Radiology and Nuclear MedicineAmsterdam University Medical CenterAmsterdamthe Netherlands
| | - Delia Fuhrmann
- Medical Research Council Cognition and Brain Sciences UnitCambridgeUK
| | - Lorraine K. Tyler
- Department of PsychologyCentre for Speech, Language and the BrainUniversity of CambridgeCambridgeUK
| | - Cam‐CAN
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Department of PsychologyCentre for Speech, Language and the BrainUniversity of CambridgeCambridgeUK
| | - James B. Rowe
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Medical Research Council Cognition and Brain Sciences UnitCambridgeUK
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13
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Kennedy KG, Islam AH, Grigorian A, Fiksenbaum L, Mitchell RHB, McCrindle BW, MacIntosh BJ, Goldstein BI. Elevated lipids are associated with reduced regional brain structure in youth with bipolar disorder. Acta Psychiatr Scand 2021; 143:513-525. [PMID: 33492669 DOI: 10.1111/acps.13278] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 01/14/2021] [Accepted: 01/17/2021] [Indexed: 01/12/2023]
Abstract
OBJECTIVE Abnormal blood lipid levels are common in bipolar disorder (BD) and correlate with mood symptoms and neurocognition. However, studies have not examined the lipid-brain structure association in BD or youth. METHODS This study examined low-density lipoprotein (LDL-C), high-density lipoprotein (HDL-C), triglycerides, and total cholesterol (TC) levels in relation to brain structure utilizing T1-weighted images, among participants ages 13-20 with BD (n = 55) and healthy controls (HC; n = 47). General linear models investigated group differences in the association of lipids with anterior cingulate cortex (ACC), hippocampus, and inferior parietal lobe structure, controlling for age, sex, body mass index, and intracranial volume. For significant associations, post hoc within-group analyses were undertaken. Exploratory vertex-wise analyses further investigated group differences in the lipid-brain structure association. RESULTS There were significant group differences in the association of LDL-C (β = -0.29 p = 0.001), and TC (β = -0.21 p = 0.016), with hippocampal volume, and triglycerides with ACC volume (β = -0.25 p = 0.01) and area (β = -0.26 p = 0.004). Elevated lipids were associated with smaller brain structure to a significantly greater extent in BD vs HC. Post hoc analyses revealed that elevated LDL-C (β = -0.27 p = 0.007) and reduced HDL-C (β = 0.24 p = 0.01) were associated with smaller hippocampal volume in the BD group. Exclusion of BD second-generation antipsychotic users did not alter these results. Vertex-wise analyses further showed that elevated lipids were associated with smaller brain structure to a significantly greater extent in BD vs HC, across the cortex. CONCLUSION Elevated lipids are associated with smaller brain structure in BD. Research evaluating lipid-brain structure associations prospectively and whether lipid optimization has salutary effects on brain structure is necessary.
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Affiliation(s)
- Kody G Kennedy
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Pharmacology, University of Toronto, Toronto, ON, Canada
| | - Alvi H Islam
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Anahit Grigorian
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Lisa Fiksenbaum
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Rachel H B Mitchell
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Brian W McCrindle
- Division of Pediatric Cardiology, Hospital for Sick Children, Toronto, ON, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Bradley J MacIntosh
- Brain Sciences, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Pharmacology, University of Toronto, Toronto, ON, Canada
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14
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Moazzami K, Power MC, Gottesman R, Mosley T, Lutsey PL, Jack CR, Hoogeveen RC, West N, Knopman DS, Alonso A. Association of mid-life serum lipid levels with late-life brain volumes: The atherosclerosis risk in communities neurocognitive study (ARICNCS). Neuroimage 2020; 223:117324. [PMID: 32882383 PMCID: PMC9006082 DOI: 10.1016/j.neuroimage.2020.117324] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/20/2020] [Accepted: 08/26/2020] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Limited information exists regarding the association between midlife lipid levels and late-life total and regional brain volumes. METHODS We studied 1872 participants in the longitudinal community-based Atherosclerosis Risk in Communities Neurocognitive Study. Serum lipid levels were measured in 1987-1989 (mean age, 53 ± 5 years). Participants underwent 3T brain MRI scans in 2011-2013. Brain volumes were measured using FreeSurfer image analysis software. Linear regression models were used to assess the associations between serum lipids and brain volumes modeled in standard deviation (SD) units, adjusting for potential confounders. RESULTS In adjusted analyses, one SD higher low-density lipoprotein cholesterol (LDL) levels were associated with larger total brain volumes (β 0.033, 95% CI 0.006-0.060) as well as larger volumes of the temporal (β 0.038, 95% CI 0.003-0.074) and parietal lobes (β 0.044, 95% CI 0.009-0.07) and Alzheimer disease-related region (β 0.048, 95% CI 0.048-0.085). Higher triglyceride levels were associated with smaller total brain volumes (β -0.033, 95% CI -0.060, -0.007). The associations between LDL levels and brain volumes were modified by age (P for interaction <0.001), with higher LDL levels associated with larger total and regional brain volumes only among adults >53 years at baseline, and were attenuated after application of weights to account for informative attrition, although associations with the parietal and Alzheimer's disease-related region remained significant. High-density lipoprotein cholesterol was not associated with brain volumes. CONCLUSION Higher LDL levels in late midlife were associated with larger brain volumes later in life, while higher triglyceride levels were associated with smaller brain volumes. These associations were driven by adults >53 years at baseline.
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Affiliation(s)
- Kasra Moazzami
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States; Emory Clinical Cardiovascular Research Institute, Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States.
| | - Melinda C Power
- Department of Epidemiology, George Washington University Milken Institute School of Public Health, Washington, DC, United States
| | - Rebecca Gottesman
- Department of Neurology, Johns Hopkins University, Baltimore, MD, United States
| | - Thomas Mosley
- Department of Neurology, University of Mississippi Medical Center, Jackson, MS, United States
| | - Pamela L Lutsey
- Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN, United States
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - Ron C Hoogeveen
- Department of Medicine, Baylor College of Medicine, Houston, TX, United States
| | - Nancy West
- Department of Preventive Medicine, University of Mississippi Medical Center, Jackson, United States
| | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
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15
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Song R, Xu H, Dintica CS, Pan KY, Qi X, Buchman AS, Bennett DA, Xu W. Associations Between Cardiovascular Risk, Structural Brain Changes, and Cognitive Decline. J Am Coll Cardiol 2020; 75:2525-2534. [PMID: 32439001 PMCID: PMC10061875 DOI: 10.1016/j.jacc.2020.03.053] [Citation(s) in RCA: 107] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 03/11/2020] [Accepted: 03/17/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND The impact of cardiovascular risk burden on cognitive trajectories and brain structure changes remains unclear. OBJECTIVES This study aimed to examine whether cardiovascular risk burden assessed by the Framingham General Cardiovascular Risk Score (FGCRS) is associated with cognitive decline and structural brain differences. METHODS Within the Rush Memory and Aging Project, 1,588 dementia-free participants (mean age: 79.5 years) were followed for up to 21 years. FGCRS was assessed at baseline and categorized into tertiles (lowest, middle, and highest). Episodic memory, semantic memory, working memory, visuospatial ability, and perceptual speed were assessed annually with a battery of 19 tests, from which composite scores were derived. A subsample (n = 378) of participants underwent magnetic resonance imaging. Structural total and regional brain volumes were estimated. Data were analyzed using linear mixed-effects models and linear regression models. RESULTS In all participants, FGCRS ranged from 4 to 28 (mean score: 15.6 ± 3.7). Compared with the lowest tertile of FGCRS, the highest tertile was associated with faster decline in global cognition (β = -0.019; 95% confidence interval [CI]: -0.035 to -0.003), episodic memory (β = -0.023; 95% CI: -0.041 to -0.004), working memory (β = -0.021; 95% CI: -0.035 to -0.007), and perceptual speed (β = -0.027; 95% CI: -0.042 to -0.011) over the follow-up. In magnetic resonance imaging data analyses, higher FGCRS was related to smaller volumes of the hippocampus (β = -0.021; 95% CI: -0.042 to -0.000), gray matter (β = -1.569; 95% CI: -2.757 to -0.382), and total brain (β = -1.588; 95% CI: -2.832 to -0.344), and greater volume of white matter hyperintensities (β = 0.035; 95% CI: 0.001 to 0.069). CONCLUSIONS Higher cardiovascular risk burden may predict decline in episodic memory, working memory, and perceptual speed and is associated with neurodegeneration and vascular lesions in the brain.
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Affiliation(s)
- Ruixue Song
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Hui Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Christina S Dintica
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Kuan-Yu Pan
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Xiuying Qi
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
| | - Aron S Buchman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois
| | - Weili Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
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16
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Vaughn CB, Jakimovski D, Kavak KS, Ramanathan M, Benedict RHB, Zivadinov R, Weinstock-Guttman B. Epidemiology and treatment of multiple sclerosis in elderly populations. Nat Rev Neurol 2020; 15:329-342. [PMID: 31000816 DOI: 10.1038/s41582-019-0183-3] [Citation(s) in RCA: 180] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The prevalence of multiple sclerosis (MS) and the age of affected patients are increasing owing to increased longevity of the general population and the availability of effective disease-modifying therapies. However, ageing presents unique challenges in patients with MS largely as a result of their increased frequency of age-related and MS-related comorbidities as well as transition of the disease course from an inflammatory to a neurodegenerative phenotype. Immunosenescence (the weakening of the immune system associated with natural ageing) might be at least partly responsible for this transition, which further complicates disease management. Currently approved therapies for MS are effective in preventing relapse but are not as effective in preventing the accumulation of disability associated with ageing and disease progression. Thus, ageing patients with MS represent a uniquely challenging population that is currently underserved by existing therapeutic regimens. This Review focuses on the epidemiology of MS in ageing patients. Unique considerations relevant to this population are discussed, including the immunology and pathobiology of the complex relationship between ageing and MS, the safety and efficacy of disease-modifying therapies, when discontinuation of treatment might be appropriate and the important role of approaches to support wellness and cognition.
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Affiliation(s)
- Caila B Vaughn
- Jacobs Multiple Sclerosis Center for Treatment and Research, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA
| | - Katelyn S Kavak
- Jacobs Multiple Sclerosis Center for Treatment and Research, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA
| | - Ralph H B Benedict
- Jacobs Multiple Sclerosis Center for Treatment and Research, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA.,Center for Biomedical Imaging at the Clinical Translational Science Institute, State University of New York (SUNY), Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center for Treatment and Research, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA.
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17
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Thomas BP, Tarumi T, Sheng M, Tseng B, Womack KB, Cullum CM, Rypma B, Zhang R, Lu H. Brain Perfusion Change in Patients with Mild Cognitive Impairment After 12 Months of Aerobic Exercise Training. J Alzheimers Dis 2020; 75:617-631. [PMID: 32310162 PMCID: PMC8062932 DOI: 10.3233/jad-190977] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Aerobic exercise (AE) has recently received increasing attention in the prevention of Alzheimer's disease (AD). There is some evidence that it can improve neurocognitive function in elderly individuals. However, the mechanism of these improvements is not completely understood. In this prospective clinical trial, thirty amnestic mild cognitive impairment participants were enrolled into two groups and underwent 12 months of intervention. One group (n = 15) performed AE training (8M/7F, age = 66.4 years), whereas the other (n = 15) performed stretch training (8M/7F, age = 66.1 years) as a control intervention. Both groups performed 25-30 minutes training, 3 times per week. Frequency and duration were gradually increased over time. Twelve-month AE training improved cardiorespiratory fitness (p = 0.04) and memory function (p = 0.004). Cerebral blood flow (CBF) was measured at pre- and post-training using pseudo-continuous-arterial-spin-labeling MRI. Relative to the stretch group, the AE group displayed a training-related increase in CBF in the anterior cingulate cortex (p = 0.016). Furthermore, across individuals, the extent of memory improvement was associated with CBF increases in anterior cingulate cortex and adjacent prefrontal cortex (voxel-wise p < 0.05). In contrast, AE resulted in a decrease in CBF of the posterior cingulate cortex, when compared to the stretch group (p = 0.01). These results suggest that salutary effects of AE in AD may be mediated by redistribution of blood flow and neural activity in AD-sensitive regions of brain.
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Affiliation(s)
- Binu P. Thomas
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Bioengineering, University of Texas at Arlington, Arlington, TX, USA
| | - Takashi Tarumi
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, Dallas, TX, USA
| | - Min Sheng
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Benjamin Tseng
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, Dallas, TX, USA
| | - Kyle B. Womack
- Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - C. Munro Cullum
- Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Bart Rypma
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Rong Zhang
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, Dallas, TX, USA
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Hanzhang Lu
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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18
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Suzuki H, Venkataraman AV, Bai W, Guitton F, Guo Y, Dehghan A, Matthews PM. Associations of Regional Brain Structural Differences With Aging, Modifiable Risk Factors for Dementia, and Cognitive Performance. JAMA Netw Open 2019; 2:e1917257. [PMID: 31825506 PMCID: PMC6991214 DOI: 10.1001/jamanetworkopen.2019.17257] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
IMPORTANCE Identifying brain regions associated with risk factors for dementia could guide mechanistic understanding of risk factors associated with Alzheimer disease (AD). OBJECTIVES To characterize volume changes in brain regions associated with aging and modifiable risk factors for dementia (MRFD) and to test whether volume differences in these regions are associated with cognitive performance. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study used data from UK Biobank participants who underwent T1-weighted structural brain imaging from August 5, 2014, to October 14, 2016. A voxelwise linear model was applied to test for regional gray matter volume differences associated with aging and MRFD (ie, hypertension, diabetes, obesity, and frequent alcohol use). The potential clinical relevance of these associations was explored by comparing their neuroanatomical distributions with the regional brain atrophy found with AD. Mediation models for risk factors, brain volume differences, and cognitive measures were tested. The primary hypothesis was that common, overlapping regions would be found. Primary analysis was conducted on April 1, 2018. MAIN OUTCOMES AND MEASURES Gray matter regions that showed relative atrophy associated with AD, aging, and greater numbers of MRFD. RESULTS Among 8312 participants (mean [SD] age, 62.4 [7.4] years; 3959 [47.1%] men), aging and 4 major MRFD (ie, hypertension, diabetes, obesity, and frequent alcohol use) had independent negative associations with specific gray matter volumes. These regions overlapped neuroanatomically with those showing lower volumes in participants with AD, including the posterior cingulate cortex, the thalamus, the hippocampus, and the orbitofrontal cortex. Associations between these MRFD and spatial memory were mediated by differences in posterior cingulate cortex volume (β = 0.0014; SE = 0.0006; P = .02). CONCLUSIONS AND RELEVANCE This cross-sectional study identified differences in localized brain gray matter volume associated with aging and MRFD, suggesting regional vulnerabilities. These differences appeared relevant to cognitive performance even among people considered cognitively healthy.
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Affiliation(s)
- Hideaki Suzuki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
- Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
| | - Ashwin V. Venkataraman
- Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
- United Kingdom Dementia Research Institute, London, United Kingdom
| | - Wenjia Bai
- Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
- Data Science Institute, Imperial College London, London, United Kingdom
| | - Florian Guitton
- Data Science Institute, Imperial College London, London, United Kingdom
| | - Yike Guo
- Data Science Institute, Imperial College London, London, United Kingdom
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Paul M. Matthews
- Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
- United Kingdom Dementia Research Institute, London, United Kingdom
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19
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van der Lee SJ, Knol MJ, Chauhan G, Satizabal CL, Smith AV, Hofer E, Bis JC, Hibar DP, Hilal S, van den Akker EB, Arfanakis K, Bernard M, Yanek LR, Amin N, Crivello F, Cheung JW, Harris TB, Saba Y, Lopez OL, Li S, van der Grond J, Yu L, Paus T, Roshchupkin GV, Amouyel P, Jahanshad N, Taylor KD, Yang Q, Mathias RA, Boehringer S, Mazoyer B, Rice K, Cheng CY, Maillard P, van Heemst D, Wong TY, Niessen WJ, Beiser AS, Beekman M, Zhao W, Nyquist PA, Chen C, Launer LJ, Psaty BM, Ikram MK, Vernooij MW, Schmidt H, Pausova Z, Becker DM, De Jager PL, Thompson PM, van Duijn CM, Bennett DA, Slagboom PE, Schmidt R, Longstreth WT, Ikram MA, Seshadri S, Debette S, Gudnason V, Adams HHH, DeCarli C. A genome-wide association study identifies genetic loci associated with specific lobar brain volumes. Commun Biol 2019; 2:285. [PMID: 31396565 PMCID: PMC6677735 DOI: 10.1038/s42003-019-0537-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 05/14/2019] [Indexed: 12/26/2022] Open
Abstract
Brain lobar volumes are heritable but genetic studies are limited. We performed genome-wide association studies of frontal, occipital, parietal and temporal lobe volumes in 16,016 individuals, and replicated our findings in 8,789 individuals. We identified six genetic loci associated with specific lobar volumes independent of intracranial volume. Two loci, associated with occipital (6q22.32) and temporal lobe volume (12q14.3), were previously reported to associate with intracranial and hippocampal volume, respectively. We identified four loci previously unknown to affect brain volumes: 3q24 for parietal lobe volume, and 1q22, 4p16.3 and 14q23.1 for occipital lobe volume. The associated variants were located in regions enriched for histone modifications (DAAM1 and THBS3), or close to genes causing Mendelian brain-related diseases (ZIC4 and FGFRL1). No genetic overlap between lobar volumes and neurological or psychiatric diseases was observed. Our findings reveal part of the complex genetics underlying brain development and suggest a role for regulatory regions in determining brain volumes.
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Affiliation(s)
- Sven J. van der Lee
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
| | - Maria J. Knol
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
| | - Ganesh Chauhan
- University of Bordeaux, Bordeaux Population Health Research Center, INSERM UMR 1219, 33000 Bordeaux, France
- Centre for Brain Research, Indian Institute of Science, Bangalore, 560012 India
| | - Claudia L. Satizabal
- The Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX 78229 USA
- Boston University School of Medicine and the Framingham Heart Study, Boston, MA 02118 USA
| | - Albert Vernon Smith
- Icelandic Heart Association, 201 Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, 8036 Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, 8036 Austria
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101 USA
| | - Derrek P. Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90292 USA
| | - Saima Hilal
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
- Department of Pharmacology, National University of Singapore, Singapore, 117600 Singapore
- Memory, Aging and Cognition Center, National University Health System, Singapore, 119228 Singapore
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
| | - Erik B. van den Akker
- Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, 2333ZA the Netherlands
- Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, 2628XE the Netherlands
- Department of Biomedical Data Sciences, Statistical Genetics, Leiden University Medical Center, Leiden, 2333ZA the Netherlands
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616 USA
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612 USA
| | - Manon Bernard
- The Hospital for Sick Children, University of Toronto, Toronto, M5G 1X8 ON Canada
| | - Lisa R. Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205 USA
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
| | - Fabrice Crivello
- Neurofunctional Imaging Group - Neurodegenerative Diseases Institute, UMR 5293, Team 5 - CEA - CNRS - Bordeaux University, Bordeaux, 33076 France
| | - Josh W. Cheung
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90292 USA
| | - Tamara B. Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD 20892 USA
| | - Yasaman Saba
- Research Unit-Genetic Epidemiology, Gottfried Schatz Research Centre for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria
| | - Oscar L. Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - Shuo Li
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118 USA
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, 2333ZA the Netherlands
| | - Lei Yu
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612 USA
| | - Tomas Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, M4G 1R8 Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, M5S 1A1 Canada
| | - Gennady V. Roshchupkin
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
- Department of Medical Informatics, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
| | - Philippe Amouyel
- Univ. Lille, Inserm, Centre Hosp. Univ Lille, Institut Pasteur de Lille, LabEx DISTALZ-UMR1167 - RID-AGE - Risk factors and molecular determinants of aging-related, 59000 Lille, France
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90292 USA
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics at LABioMed-Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Qiong Yang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118 USA
| | - Rasika A. Mathias
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205 USA
| | - Stefan Boehringer
- Department of Biomedical Data Sciences, Statistical Genetics, Leiden University Medical Center, Leiden, 2333ZA the Netherlands
| | - Bernard Mazoyer
- Neurofunctional Imaging Group - Neurodegenerative Diseases Institute, UMR 5293, Team 5 - CEA - CNRS - Bordeaux University, Bordeaux, 33076 France
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, WA 98195 USA
| | - Ching Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, 169857 Singapore
| | - Pauline Maillard
- Imaging of Dementia and Aging (IDeA) Laboratory, University of California-Davis, Davis, CA 95817 USA
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, 2333ZA the Netherlands
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, 169857 Singapore
| | - Wiro J. Niessen
- Department of Medical Informatics, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
- Faculty of Applied Sciences, Delft University of Technology, Delft, 2629HZ the Netherlands
| | - Alexa S. Beiser
- Boston University School of Medicine and the Framingham Heart Study, Boston, MA 02118 USA
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118 USA
| | - Marian Beekman
- Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, 2333ZA the Netherlands
| | - Wanting Zhao
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, 169857 Singapore
| | - Paul A. Nyquist
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21205 USA
| | - Christopher Chen
- Department of Pharmacology, National University of Singapore, Singapore, 117600 Singapore
- Memory, Aging and Cognition Center, National University Health System, Singapore, 119228 Singapore
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD 20892 USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101 USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195 USA
- Department of Health Services, University of Washington, Seattle, WA 98195 USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101 USA
| | - M. Kamran Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
| | - Meike W. Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
| | - Helena Schmidt
- Research Unit-Genetic Epidemiology, Gottfried Schatz Research Centre for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, M5G 1X8 ON Canada
- Departments of Physiology and Nutritional Sciences, The Hospital for Sick Children, University of Toronto, Toronto, M5G 1X8 Canada
| | - Diane M. Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205 USA
| | - Philip L. De Jager
- Center for Translational and Computational Neuroimmunology, Columbia University Medical Center, New York, NY 10032 USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90292 USA
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612 USA
| | - P. Eline Slagboom
- Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, 2333ZA the Netherlands
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, 8036 Austria
| | - W. T. Longstreth
- Department of Epidemiology, University of Washington, Seattle, WA 98195 USA
- Department of Neurology, University of Washington, Seattle, WA 98195 USA
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
| | - Sudha Seshadri
- The Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX 78229 USA
- Boston University School of Medicine and the Framingham Heart Study, Boston, MA 02118 USA
| | - Stéphanie Debette
- University of Bordeaux, Bordeaux Population Health Research Center, INSERM UMR 1219, 33000 Bordeaux, France
- Department of Neurology, University Hospital of Bordeaux, Bordeaux, 33000 France
| | - Vilmundur Gudnason
- Icelandic Heart Association, 201 Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Hieab H. H. Adams
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, 3015CN the Netherlands
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Davis, CA 95817 USA
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Szymkowicz SM, Woods AJ, Dotson VM, Porges EC, Nissim NR, O’Shea A, Cohen RA, Ebner NC. Associations between subclinical depressive symptoms and reduced brain volume in middle-aged to older adults. Aging Ment Health 2019; 23:819-830. [PMID: 29381390 PMCID: PMC6066456 DOI: 10.1080/13607863.2018.1432030] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVES The associations between subclinical depressive symptoms, as well specific symptom subscales, on brain structure in aging are not completely elucidated. This study investigated the extent to which depressive symptoms were related to brain volumes in fronto-limbic structures in a sample of middle-aged to older adults. METHOD Eighty participants underwent structural neuroimaging and completed the Beck Depression Inventory, 2nd Edition (BDI-II), which comprises separate affective, cognitive, and somatic subscales. Gray matter volumes were extracted from the caudal and rostral anterior cingulate, posterior cingulate, hippocampus, and amygdala. Hierarchical regression models examined the relationship between brain volumes and (i) total depressive symptoms and (ii) BDI-II subscales were conducted. RESULTS After adjusting for total intracranial volume, race, and age, higher total depressive symptoms were associated with smaller hippocampal volume (p = 0.005). For the symptom subscales, after controlling for the abovementioned covariates and the influence of the other symptom subscales, more somatic symptoms were related to smaller posterior cingulate (p = 0.025) and hippocampal (p < 0.001) volumes. In contrast, the affective and cognitive subscales were not associated with brain volumes in any regions of interest. CONCLUSION Our data showed that greater symptomatology was associated with smaller volume in limbic brain regions. These findings provide evidence for preclinical biological markers of major depression and specifically advance knowledge of the relationship between subclinical depressive symptoms and brain volume. Importantly, we observed variations by specific depressive symptom subscales, suggesting a symptom-differential relationship between subclinical depression and brain volume alterations in middle-aged and older individuals.
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Affiliation(s)
- Sarah M. Szymkowicz
- Sarah M. Szymkowicz, M.S., 1Department of Clinical & Health Psychology, University of Florida, P.O. Box 100165, Gainesville, FL, 32610-0165. Phone: +1 (352) 273-6058.
| | - Adam J. Woods
- Adam J. Woods, Ph.D., 1Department of Clinical & Health Psychology, University of Florida, 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida, P.O. Box 100015, Gainesville, FL, 32610-0015, 3Department of Neuroscience, University of Florida, P.O. Box 100244, Gainesville, FL, 32610-0244. Phone: +1 (352) 294-5842.
| | - Vonetta M. Dotson
- Vonetta M. Dotson, Ph.D., 4Department of Psychology, Georgia State University, P.O. Box 5010, Atlanta, GA, 30302-5010. Phone: +1 (404) 413-6207.
| | - Eric C. Porges
- Eric C. Porges, Ph.D., 1Department of Clinical & Health Psychology, University of Florida, 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida. Phone: +1 (352) 294-5838.
| | - Nicole R. Nissim
- Nicole R. Nissim, M.S., 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida, 3Department of Neuroscience, University of Florida. Phone: +1 (352) 294-5742.
| | - Andrew O’Shea
- Andrew O’Shea, M.S., 1Department of Clinical & Health Psychology, University of Florida, 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida. Phone: +1 (352) 294-5827.
| | - Ronald A. Cohen
- Ronald A. Cohen, Ph.D., 1Department of Clinical & Health Psychology, University of Florida, 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida. Phone: +1 (352) 294-5840.
| | - Natalie C. Ebner
- Natalie C. Ebner, Ph.D., 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida, 5Department of Psychology, University of Florida, P.O. Box 112250, Gainesville, FL, 32611, 6Department of Aging & Geriatric Research, University of Florida, 2004 Mowry Road, Gainesville, FL, 32611. Phone: +1 (203) 691-0371.
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21
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Jakimovski D, Topolski M, Genovese AV, Weinstock-Guttman B, Zivadinov R. Vascular aspects of multiple sclerosis: emphasis on perfusion and cardiovascular comorbidities. Expert Rev Neurother 2019; 19:445-458. [PMID: 31003583 DOI: 10.1080/14737175.2019.1610394] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
INTRODUCTION Multiple sclerosis (MS) is a chronic inflammatory, demyelinating, and neurodegenerative disease of the central nervous system. Over the last two decades, more favorable MS long-term outcomes have contributed toward increase in prevalence of the aged MS population. Emergence of age-associated pathology, such as cardiovascular diseases, may interact with the MS pathophysiology and further contribute to disease progression. Areas covered: This review summarizes the cardiovascular involvement in MS pathology, its disease activity, and progression. The cardiovascular health, the presence of various cardiovascular diseases, and their effect on MS cognitive performance are further explored. In similar fashion, the emerging evidence of a higher incidence of extracranial arterial pathology and its association with brain MS pathology are discussed. Finally, the authors outline the methodologies behind specific perfusion magnetic resonance imaging (MRI) and ultrasound Doppler techniques, which allow measurement of disease-specific and age-specific vascular changes in the aging population and MS patients. Expert opinion: Cardiovascular pathology significantly contributes to worse clinical and MRI-derived disease outcomes in MS. Global and regional cerebral hypoperfusion may be associated with poorer physical and cognitive performance. Prevention, improved detection, and treatment of the cardiovascular-based pathology may improve the overall long-term health of MS patients.
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Affiliation(s)
- Dejan Jakimovski
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA.,b Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, The State University of New York , Buffalo , NY , USA
| | - Matthew Topolski
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Antonia Valentina Genovese
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA.,c Institute of Radiology, Department of Clinical Surgical Diagnostic and Pediatric Sciences , University of Pavia , Pavia , Italy
| | - Bianca Weinstock-Guttman
- b Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, The State University of New York , Buffalo , NY , USA
| | - Robert Zivadinov
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA.,b Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, The State University of New York , Buffalo , NY , USA.,d Center for Biomedical Imaging at Clinical Translational Science Institute , University at Buffalo, State University of New York , Buffalo , NY , USA
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Jakimovski D, Weinstock-Guttman B, Gandhi S, Guan Y, Hagemeier J, Ramasamy DP, Fuchs TA, Browne RW, Bergsland N, Dwyer MG, Ramanathan M, Zivadinov R. Dietary and lifestyle factors in multiple sclerosis progression: results from a 5-year longitudinal MRI study. J Neurol 2019; 266:866-875. [PMID: 30758665 DOI: 10.1007/s00415-019-09208-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 01/14/2019] [Accepted: 01/19/2019] [Indexed: 01/08/2023]
Abstract
BACKGROUND Evidence regarding the role, if any, of dietary and lifestyle factors in the pathogenesis of multiple sclerosis (MS) is poorly understood. OBJECTIVE To assess the effect of lifestyle-based risk factors linked to cardiovascular disease (CVD) on clinical and MRI-derived MS outcomes. METHODS The study enrolled 175 MS or clinically isolated syndrome (CIS) patients and 42 age- and sex-matched healthy controls (HCs) who were longitudinally followed for 5.5 years. The 20-year CVD risk was calculated by Healthy Heart Score (HHS) prediction model which includes age, smoking, body mass index, dietary intake, exercise, and alcohol consumption. Baseline and follow-up MRI scans were obtained and cross-sectional and longitudinal changes of T2-lesion volume (LV), whole brain volume (WBV), white matter volume (WMV), gray matter volume (GMV), and lateral ventricular volume (LVV) were calculated. RESULTS After correcting for disease duration, the baseline HHS values of the MS group were associated with baseline GMV (rs = - 0.20, p = 0.01), and longitudinal LVV change (rs = 0.19, p = 0.01). The association with LVV remained significant after adjusting for baseline LVV volumes (rs = 0.2, p = 0.008) in MS patients. The diet component of the HHS was associated with the 5-year T2-LV accrual (rs = - 0.191, p = 0.04) in MS. In the HC group, the HHS was associated with LVV (rs = 0.58, p < 0.001), GMV (rs = - 0.57, p < 0.001), WBV (rs = - 0.55, p = 0.001), T2-LV (rs = 0.41, p = 0.027), and WMV (rs = - 0.38, p = 0.042). Additionally, the HC HHS was associated with the 5-year change in LVV (rs = 0.54, p = 0.001) and in WBV (rs = - 0.45, p = 0.011). CONCLUSION Lifestyle risk factors contribute to accelerated central brain atrophy in MS patients, whereas unhealthier diet is associated with MS lesion accrual. Despite the lower overall effect when compared to HCs, lifestyle-based modifications may still provide a beneficial effect on reducing brain atrophy in MS patients.
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Affiliation(s)
- Dejan Jakimovski
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Sirin Gandhi
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Yi Guan
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Jesper Hagemeier
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Deepa P Ramasamy
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Tom A Fuchs
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Richard W Browne
- Department of Biotechnical and Clinical Laboratory Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Michael G Dwyer
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
- Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA.
- Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA.
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23
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Shinohara M, Sato N. The Roles of Apolipoprotein E, Lipids, and Glucose in the Pathogenesis of Alzheimer’s Disease. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1128:85-101. [DOI: 10.1007/978-981-13-3540-2_5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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24
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Chung CP, Chou KH, Peng LN, Liu LK, Lee WJ, Chen LK, Lin CP, Wang PN. Associations between low circulatory low-density lipoprotein cholesterol level and brain health in non-stroke non-demented subjects. Neuroimage 2018; 181:627-634. [DOI: 10.1016/j.neuroimage.2018.07.049] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 06/27/2018] [Accepted: 07/20/2018] [Indexed: 01/24/2023] Open
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25
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Chu K, Tran T, Wei K, Lammering JC, Sondergaard A, Mogadam E, Shriner K, King KS. Distinguishing Brain Impact of Aging and HIV Severity in Chronic HIV Using Multiparametric MR Imaging and MR Spectroscopy. Open Forum Infect Dis 2018; 5:ofy243. [PMID: 30364402 PMCID: PMC6195308 DOI: 10.1093/ofid/ofy243] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Accepted: 09/18/2018] [Indexed: 02/01/2023] Open
Abstract
Background Combination antiretroviral therapy (cART) has transformed HIV into a manageable but complex chronic disease, in which it is uncertain which brain insults may relate to age vs initial disease severity. We evaluate N-acetyl-aspartate/creatine (NAA/Cr), white matter hyperintensities (WMH), and mean cortical thickness to identify which subclinical markers of brain insult best relate to CD4 nadir and aging. This is a prospective study of the association between brain markers with age and initial infection severity, based on CD4 nadir, in chronic HIV patients. Methods Thirty-seven chronic HIV patients (age 25–77 years) with successful viral suppression were scanned on a GE 3T magnetic resonance imaging scanner to obtain NAA/Cr (standardized and averaged over 5 brain regions), log-transformed WMH volume, and mean cortical thickness. The brain measures were fitted with both CD4 nadir and age to evaluate the significance of their relationship. Results NAA/Cr, WMH, and cortical thickness were all correlated with age and CD4 nadir in unadjusted associations. Stepwise regression models showed that NAA/Cr alone best predicted CD4 nadir (β = 40.1 ± 13.3; P = .005), whereas WMH (β = 2.3 ± .9; P = .02) and mean cortical thickness (β = –2.7 ± 6.6; P < .0001) together produced the best model fit with age. NAA/Cr was higher for HIV stage 1 (CD4 nadir ≥ 500 cells/ µL; n = 15) compared with stage 2 (200 ≥ CD4 nadir < 500; n = 13) and stage 3 (CD4 nadir < 200; n = 9; P < .01 for both). Conclusions In patients with effectively suppressed HIV, NAA reflects the subclinical brain impact of initial disease severity related to development of even mild immune compromise, whereas cortical thickness and WMH volume are useful to evaluate age-related changes.
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Affiliation(s)
- Karen Chu
- Advanced Imaging and Spectroscopy Center, Huntington Medical Research Institutes, Pasadena, California
| | - Thao Tran
- Advanced Imaging and Spectroscopy Center, Huntington Medical Research Institutes, Pasadena, California
| | - Ke Wei
- Advanced Imaging and Spectroscopy Center, Huntington Medical Research Institutes, Pasadena, California
| | - Jeanne C Lammering
- Advanced Imaging and Spectroscopy Center, Huntington Medical Research Institutes, Pasadena, California
| | | | - Emad Mogadam
- Phil Simon Clinic, Huntington Hospital, Pasadena, California
| | | | - Kevin S King
- Advanced Imaging and Spectroscopy Center, Huntington Medical Research Institutes, Pasadena, California
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26
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Barroso M, Pérez-Fernández S, Vila MM, Zomeño MD, Martí-Lluch R, Cordon F, Ramos R, Elosua R, Degano IR, Fitó M, Cabezas C, Salvador G, Castell C, Grau M. Validity of a method for the self-screening of cardiovascular risk. Clin Epidemiol 2018; 10:549-560. [PMID: 29785141 PMCID: PMC5953309 DOI: 10.2147/clep.s158358] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background The validity of a cardiovascular risk self-screening method was assessed. The results obtained for self-measurement of blood pressure, a point-of-care system’s assessment of lipid profile and glycated hemoglobin, and a self-administered questionnaire (sex, age, diabetes, tobacco consumption) were compared with the standard screening (gold standard) conducted by a health professional. Methods Crossover clinical trial on a population-based sample from Girona (north-eastern Spain), aged 35–74, with no cardiovascular disease at recruitment. Participants were randomized to one of the two risk assessment sequences (standard screening followed by self-screening or vice versa). Cardiovascular risk was estimated with the Framingham-REGICOR function. Concordance between methods was estimated with the intraclass correlation coefficient (ICC). Sensitivity, specificity, and positive and negative predictive values were estimated, considering 5% cardiovascular risk as the cutoff point. ClinicalTrials.gov Registration #NCT02373319. Clinical Research Ethic Committee of the Parc de Salut Mar Registration #2014/5815/I. Results The median cardiovascular risk in men was 2.56 (interquartile range: 1.42–4.35) estimated by standard methods and 2.25 (1.28–4.07) by self-screening with ICC=0.92 (95% CI: 0.90–0.93). In women, the cardiovascular risk was 1.14 (0.61–2.10) by standard methods and 1.10 (0.56–2.00) by self-screening, with ICC=0.89 (0.87–0.90). The sensitivity, specificity, and positive and negative predictive values for the self-screening method were 0.74 (0.63–0.82), 0.97 (0.95–0.99), 0.86 (0.77–0.93), and 0.94 (0.91–0.96), respectively, in men. In women, these values were 0.50 (0.30–0.70), 0.99 (0.98–1), 0.81 (0.54–0.96), and 0.97 (0.95–0.99), respectively. Conclusion The self-screening method for assessing cardiovascular risk provided similar results to the standard method. Self-screening had high clinical performance to rule out intermediate or high cardiovascular risk.
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Affiliation(s)
- María Barroso
- Cardiovascular Epidemiology and Genetics Research Group, IMIM-Hospital del Mar Research Institute.,Centre d'Atenció Primària La Marina, Direcció d'Atenció Primària Barcelona, Institut Català de la Salut.,Department of Pediatrics, Obstetrics, Gynecology and Preventive Medicine, School of Medicine, Autonomous University of Barcelona
| | - Silvia Pérez-Fernández
- Cardiovascular Epidemiology and Genetics Research Group, IMIM-Hospital del Mar Research Institute.,Consortium for Biomedical Research in Cardiovascular Disease (CIBERCV)
| | - M Mar Vila
- Cardiovascular Epidemiology and Genetics Research Group, IMIM-Hospital del Mar Research Institute.,Consortium for Biomedical Research in Cardiovascular Disease (CIBERCV).,Department of Mathematics and Computer Science, University of Barcelona
| | - M Dolors Zomeño
- Cardiovascular Risk and Nutrition, IMIM-Hospital del Mar Research Institute.,School of Health Sciences, Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Ruth Martí-Lluch
- Unitat de Suport a la Recerca de Girona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol
| | - Ferran Cordon
- Centre d'Atenció Primària Montilivi, Direcció d'Atenció Primària Girona, Institut Català de la Salut
| | - Rafel Ramos
- Unitat de Suport a la Recerca de Girona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol.,Department of Medical Sciences, School of Medicine, University of Girona.,Girona Biomedical Research Institute, Girona, Spain
| | - Roberto Elosua
- Cardiovascular Epidemiology and Genetics Research Group, IMIM-Hospital del Mar Research Institute.,Consortium for Biomedical Research in Cardiovascular Disease (CIBERCV)
| | - Irene R Degano
- Cardiovascular Epidemiology and Genetics Research Group, IMIM-Hospital del Mar Research Institute.,Consortium for Biomedical Research in Cardiovascular Disease (CIBERCV)
| | - Montse Fitó
- Department of Mathematics and Computer Science, University of Barcelona.,Consortium for Biomedical Research in Obesity and Nutrition (CIBEROBN)
| | | | | | | | - María Grau
- Cardiovascular Epidemiology and Genetics Research Group, IMIM-Hospital del Mar Research Institute.,Consortium for Biomedical Research in Cardiovascular Disease (CIBERCV).,Department of Medicine, University of Barcelona, Barcelona, Spain
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27
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Desmidt T, Andersson F, Brizard B, Cottier JP, Patat F, Gissot V, Belzung C, El-Hage W, Camus V. Cerebral blood flow velocity positively correlates with brain volumes in long-term remitted depression. Prog Neuropsychopharmacol Biol Psychiatry 2018; 81:243-249. [PMID: 28939189 DOI: 10.1016/j.pnpbp.2017.09.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 09/10/2017] [Accepted: 09/18/2017] [Indexed: 02/03/2023]
Abstract
BACKGROUND Mechanisms involved in brain changes observed in major depression have been poorly investigated in clinical populations. Changes in cerebral blood flow (CBF) have been found in depressed patients and constitute a potential mechanism by which brain volume varies in depression. We have tested the association of cerebral blood flow velocity (CBFV) as assessed with Transcranial Doppler (TCD) and cerebral blood flow (CBF) as assessed with Arterial Spin Labeling Magnetic Resonance Imaging (ASL-MRI) with Total Brain Volume (TBV) and the volume of seven subcortical regions, in currently depressed and long-term remitted patients. In addition, we have evaluated other potential confounders for the association depression/brain volume, including dimensional symptoms of depression, cardiovascular risk factors (CVRF) and antidepressants. METHODS Seventy-five individuals were recruited, divided in 3 equal groups (currently depressed, remitted individuals and healthy controls) and were submitted to clinical assessment, MRI and Transcranial Doppler. RESULTS CBFV was positively correlated with TBV, Hippocampus and Thalamus volume, but only in remitted patients, who tend to have larger brains compared to both currently depressed and controls. CVRF were negatively associated with brain volumes in the 3 groups and antidepressant use was associated with larger Thalamus. We found no association between brain volumes and CBF as assessed with ASL-MRI, anhedonia, anxiety or psychomotor retardation. DISCUSSION Greater CBFV may be a physiological mechanism by which brain is enlarged in remitted patients. Future studies should consider CBFV, CVRF and antidepressants as possible confounders for the association depression/brain volumes, especially in remitted patients.
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Affiliation(s)
- Thomas Desmidt
- CHRU de Tours, Tours, France; INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France.
| | - Frédéric Andersson
- INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France
| | - Bruno Brizard
- INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France
| | - Jean-Philippe Cottier
- CHRU de Tours, Tours, France; INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France
| | - Frédéric Patat
- INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France; INSERM CIC 1415, Université François-Rabelais de Tours, Tours, France
| | - Valérie Gissot
- INSERM CIC 1415, Université François-Rabelais de Tours, Tours, France
| | - Catherine Belzung
- INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France
| | - Wissam El-Hage
- CHRU de Tours, Tours, France; INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France; INSERM CIC 1415, Université François-Rabelais de Tours, Tours, France
| | - Vincent Camus
- CHRU de Tours, Tours, France; INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France
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28
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Pedard M, Quirié A, Garnier P, Tessier A, Demougeot C, Marie C. The Cerebral Brain-Derived Neurotrophic Factor Pathway, Either Neuronal or Endothelial, Is Impaired in Rats with Adjuvant-Induced Arthritis. Connection with Endothelial Dysfunction. Front Physiol 2018; 8:1125. [PMID: 29375397 PMCID: PMC5767301 DOI: 10.3389/fphys.2017.01125] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 12/20/2017] [Indexed: 01/16/2023] Open
Abstract
Cognitive abilities are largely dependent on activation of cerebral tropomyosin-related kinase B receptors (TrkB) by brain-derived neurotrophic factor (BDNF) that is secreted under a bioactive form by both neurons and endothelial cells. In addition, there is mounting evidence for a link between endothelial function and cognition even though the underlying mechanisms are not well known. Therefore, we investigated the cerebral BDNF pathway, either neuronal or endothelial, in rheumatoid arthritis (RA) that combines both endothelial dysfunction (ED) and impaired cognition. Adjuvant-induced arthritis (AIA) in rats was used as a model of RA. Clinical inflammatory symptoms were evaluated from an arthritis score and brains were collected at day 31 ± 2 post-immunization. Neuronal expression of BDNF and TrkB phosphorylated at tyrosine 816 (p-TrkB) was examined in brain slices. Endothelial BDNF and p-TrkB expression was examined on both brain slices (hippocampal arterioles) and isolated cerebral microvessels-enriched fractions (vessels downstream to arterioles). The connection between endothelial nitric oxide (NO) and BDNF production was explored on the cerebrovascular fractions using endothelial NO synthase (eNOS) levels as a marker of NO production, Nω-Nitro-L-arginine methyl ester hydrochloride (L-NAME) as a NOS inhibitor and glyceryl-trinitrate as a slow releasing NO donor. Brain slices displayed lower BDNF and p-TrkB staining in both neurons and arteriolar endothelial cells in AIA than in control rats. For endothelial cells but not neurons, a strong correlation was observed between BDNF and p-TrkB staining. Of note, a strong correlation was also observed between neuronal p-TrkB and endothelial BDNF staining. In cerebral microvessels-enriched fractions, AIA led to decreased BDNF and eNOS levels with a positive association between the 2 parameters. These effects coincided with decreased BDNF and p-TrkB staining in endothelial cells. The exposure of AIA cerebrovascular fractions to GTN increased BDNF levels while the exposure of control fractions to L-NAME decreased BDNF levels. Changes in the cerebral BDNF pathway were not associated with arthritis score. The present study reveals that AIA impairs the endothelial and neuronal BDNF/TrkB pathway, irrespective of the severity of inflammatory symptoms but dependent on endothelial NO production. These results open new perspectives for the understanding of the link between ED and impaired cognition.
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Affiliation(s)
- Martin Pedard
- INSERM UMR1093-CAPS, Université Bourgogne Franche-Comté, UFR des Sciences de Santé, Dijon, France.,Service de Neurologie, CHRU Dijon, Dijon, France
| | - Aurore Quirié
- INSERM UMR1093-CAPS, Université Bourgogne Franche-Comté, UFR des Sciences de Santé, Dijon, France
| | - Philippe Garnier
- INSERM UMR1093-CAPS, Université Bourgogne Franche-Comté, UFR des Sciences de Santé, Dijon, France
| | - Anne Tessier
- INSERM UMR1093-CAPS, Université Bourgogne Franche-Comté, UFR des Sciences de Santé, Dijon, France
| | - Céline Demougeot
- EA4267 PEPITE, FHU INCREASE, University of Bourgogne Franche-Comté, Besançon, France
| | - Christine Marie
- INSERM UMR1093-CAPS, Université Bourgogne Franche-Comté, UFR des Sciences de Santé, Dijon, France
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Sindi S, Kåreholt I, Spulber G, Soininen H, Kivipelto M, Solomon A. Midlife Work-Related Stress is Associated with Late-Life Gray Matter Volume Atrophy. J Alzheimers Dis Rep 2017; 1:219-227. [PMID: 30480239 PMCID: PMC6159714 DOI: 10.3233/adr-170035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Background: Work-related stress has been associated with an increased dementia risk. However, less is known about the mechanisms that underlie these associations. Objective: The goal is to examine associations between midlife work-related stress and late-life structural brain alterations. Methods: The Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) study participants were randomly selected from independent population-based surveys (mean age 50) in Finland. MRI measurements included gray matter (GM) volume, white matter lesions (WML) and medial temporal atrophy (MTA) (1st re-examination, n = 102); and GM volume, hippocampal volume, WML volume, cortical thickness, and MTA (2nd re-examination, n = 64). Work-related stress comprised a score from two questions administered in midlife. Results: Higher levels of midlife work-related stress were associated with lower GM volume (β= –0.077, p = 0.033) at the first re-examination, even after adjusting for several confounders. No significant associations were found with MTA, WML, or MRI measurements at the second re-examination. Conclusion: Previously shown associations of midlife work-related stress with dementia risk may be at least partly explained by associations with lower GM volume in late-life. The lack of associations at the second re-examination may indicate a critical time window for the effects of midlife work-related stress, and/or selective survival/participation.
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Affiliation(s)
- Shireen Sindi
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Karolinska Institutet Center for Alzheimer Research, Stockholm, Sweden.,Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College London, London, UK
| | - Ingemar Kåreholt
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Institute of Gerontology, School of Health and Welfare, Jönköping University, Jönköping, Sweden
| | - Gabriela Spulber
- Karolinska Institutet Center for Alzheimer Research, Stockholm, Sweden
| | - Hilkka Soininen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Neurology, University of Eastern Finland, and Kuopio University Hospital, Kuopio, Finland
| | - Miia Kivipelto
- Karolinska Institutet Center for Alzheimer Research, Stockholm, Sweden.,Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College London, London, UK.,Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland.,Department of Geriatrics, Karolinska University Hospital, Stockholm, Sweden
| | - Alina Solomon
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Karolinska Institutet Center for Alzheimer Research, Stockholm, Sweden.,Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Geriatrics, Karolinska University Hospital, Stockholm, Sweden
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30
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Haring B, Omidpanah A, Suchy-Dicey AM, Best LG, Verney SP, Shibata DK, Cole SA, Ali T, Howard BV, Buchwald D, Devereux RB. Left Ventricular Mass, Brain Magnetic Resonance Imaging, and Cognitive Performance: Results From the Strong Heart Study. Hypertension 2017; 70:964-971. [PMID: 28893898 DOI: 10.1161/hypertensionaha.117.09807] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 06/15/2017] [Accepted: 08/18/2017] [Indexed: 01/14/2023]
Abstract
Left ventricular mass (LVM) has been shown to serve as a measure of target organ damage resulting from chronic exposure to several risk factors. Data on the association of midlife LVM with later cognitive performance are sparse. We studied 721 adults (mean age 56 years at baseline) enrolled in the Strong Heart Study (SHS, 1993-1995) and the ancillary CDCAI (Cerebrovascular Disease and Its Consequences in American Indians) Study (2010-2013), a study population with high prevalence of cardiovascular disease. LVM was assessed with transthoracic echocardiography at baseline in 1993 to 1995. Cranial magnetic resonance imaging and cognitive testing were undertaken between 2010 and 2013. Generalized estimating equations were used to model associations between LVM and later imaging and cognition outcomes. The mean follow-up period was 17 years. A difference of 25 g in higher LVM was associated with marginally lower hippocampal volume (0.01%; 95% confidence interval, 0.02-0.00; P=0.001) and higher white matter grade (0.10; 95% confidence interval, 0.02-0.18; P=0.014). Functionally, participants with higher LVM tended to have slightly lower scores on the modified mini-mental state examination (0.58; 95% confidence interval, 1.08-0.08; P=0.024). The main results persisted after adjusting for blood pressure levels or vascular disease. The small overall effect sizes are partly explained by survival bias because of the high prevalence of cardiovascular disease in our population. Our findings emphasize the role of cardiovascular health in midlife as a target for the prevention of deleterious cognitive and functional outcomes in later life.
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Affiliation(s)
- Bernhard Haring
- Department of Medicine I, Comprehensive Heart Failure Center, University of Würzburg, Bavaria, Germany (B.V.H.); Initiative for Research and Education to Advance Community Health, Washington State University, Seattle (A.O., A.M.S.-D.); Missouri Breaks Industries Research Inc, Eagle Butte, SD (L.G.B.); Department of Psychology and Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque (S.P.V.); Department of Radiology, School of Medicine, University of Washington, Seattle (D.K.S.); Department of Genetics, Texas Biomedical Research Institute, San Antonio (S.A.C.); Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma, Health Sciences Center (T.A.); MedStar Health Research Institute, Hyattsville, MD (B.V.H.); Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle (D.B.); and Greenberg Division of Cardiology, Weill Cornell Medicine, New York, NY (R.B.D.).
| | - Adam Omidpanah
- Department of Medicine I, Comprehensive Heart Failure Center, University of Würzburg, Bavaria, Germany (B.V.H.); Initiative for Research and Education to Advance Community Health, Washington State University, Seattle (A.O., A.M.S.-D.); Missouri Breaks Industries Research Inc, Eagle Butte, SD (L.G.B.); Department of Psychology and Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque (S.P.V.); Department of Radiology, School of Medicine, University of Washington, Seattle (D.K.S.); Department of Genetics, Texas Biomedical Research Institute, San Antonio (S.A.C.); Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma, Health Sciences Center (T.A.); MedStar Health Research Institute, Hyattsville, MD (B.V.H.); Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle (D.B.); and Greenberg Division of Cardiology, Weill Cornell Medicine, New York, NY (R.B.D.)
| | - Astrid M Suchy-Dicey
- Department of Medicine I, Comprehensive Heart Failure Center, University of Würzburg, Bavaria, Germany (B.V.H.); Initiative for Research and Education to Advance Community Health, Washington State University, Seattle (A.O., A.M.S.-D.); Missouri Breaks Industries Research Inc, Eagle Butte, SD (L.G.B.); Department of Psychology and Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque (S.P.V.); Department of Radiology, School of Medicine, University of Washington, Seattle (D.K.S.); Department of Genetics, Texas Biomedical Research Institute, San Antonio (S.A.C.); Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma, Health Sciences Center (T.A.); MedStar Health Research Institute, Hyattsville, MD (B.V.H.); Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle (D.B.); and Greenberg Division of Cardiology, Weill Cornell Medicine, New York, NY (R.B.D.)
| | - Lyle G Best
- Department of Medicine I, Comprehensive Heart Failure Center, University of Würzburg, Bavaria, Germany (B.V.H.); Initiative for Research and Education to Advance Community Health, Washington State University, Seattle (A.O., A.M.S.-D.); Missouri Breaks Industries Research Inc, Eagle Butte, SD (L.G.B.); Department of Psychology and Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque (S.P.V.); Department of Radiology, School of Medicine, University of Washington, Seattle (D.K.S.); Department of Genetics, Texas Biomedical Research Institute, San Antonio (S.A.C.); Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma, Health Sciences Center (T.A.); MedStar Health Research Institute, Hyattsville, MD (B.V.H.); Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle (D.B.); and Greenberg Division of Cardiology, Weill Cornell Medicine, New York, NY (R.B.D.)
| | - Steven P Verney
- Department of Medicine I, Comprehensive Heart Failure Center, University of Würzburg, Bavaria, Germany (B.V.H.); Initiative for Research and Education to Advance Community Health, Washington State University, Seattle (A.O., A.M.S.-D.); Missouri Breaks Industries Research Inc, Eagle Butte, SD (L.G.B.); Department of Psychology and Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque (S.P.V.); Department of Radiology, School of Medicine, University of Washington, Seattle (D.K.S.); Department of Genetics, Texas Biomedical Research Institute, San Antonio (S.A.C.); Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma, Health Sciences Center (T.A.); MedStar Health Research Institute, Hyattsville, MD (B.V.H.); Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle (D.B.); and Greenberg Division of Cardiology, Weill Cornell Medicine, New York, NY (R.B.D.)
| | - Dean K Shibata
- Department of Medicine I, Comprehensive Heart Failure Center, University of Würzburg, Bavaria, Germany (B.V.H.); Initiative for Research and Education to Advance Community Health, Washington State University, Seattle (A.O., A.M.S.-D.); Missouri Breaks Industries Research Inc, Eagle Butte, SD (L.G.B.); Department of Psychology and Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque (S.P.V.); Department of Radiology, School of Medicine, University of Washington, Seattle (D.K.S.); Department of Genetics, Texas Biomedical Research Institute, San Antonio (S.A.C.); Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma, Health Sciences Center (T.A.); MedStar Health Research Institute, Hyattsville, MD (B.V.H.); Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle (D.B.); and Greenberg Division of Cardiology, Weill Cornell Medicine, New York, NY (R.B.D.)
| | - Shelley A Cole
- Department of Medicine I, Comprehensive Heart Failure Center, University of Würzburg, Bavaria, Germany (B.V.H.); Initiative for Research and Education to Advance Community Health, Washington State University, Seattle (A.O., A.M.S.-D.); Missouri Breaks Industries Research Inc, Eagle Butte, SD (L.G.B.); Department of Psychology and Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque (S.P.V.); Department of Radiology, School of Medicine, University of Washington, Seattle (D.K.S.); Department of Genetics, Texas Biomedical Research Institute, San Antonio (S.A.C.); Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma, Health Sciences Center (T.A.); MedStar Health Research Institute, Hyattsville, MD (B.V.H.); Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle (D.B.); and Greenberg Division of Cardiology, Weill Cornell Medicine, New York, NY (R.B.D.)
| | - Tauqeer Ali
- Department of Medicine I, Comprehensive Heart Failure Center, University of Würzburg, Bavaria, Germany (B.V.H.); Initiative for Research and Education to Advance Community Health, Washington State University, Seattle (A.O., A.M.S.-D.); Missouri Breaks Industries Research Inc, Eagle Butte, SD (L.G.B.); Department of Psychology and Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque (S.P.V.); Department of Radiology, School of Medicine, University of Washington, Seattle (D.K.S.); Department of Genetics, Texas Biomedical Research Institute, San Antonio (S.A.C.); Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma, Health Sciences Center (T.A.); MedStar Health Research Institute, Hyattsville, MD (B.V.H.); Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle (D.B.); and Greenberg Division of Cardiology, Weill Cornell Medicine, New York, NY (R.B.D.)
| | - Barbara V Howard
- Department of Medicine I, Comprehensive Heart Failure Center, University of Würzburg, Bavaria, Germany (B.V.H.); Initiative for Research and Education to Advance Community Health, Washington State University, Seattle (A.O., A.M.S.-D.); Missouri Breaks Industries Research Inc, Eagle Butte, SD (L.G.B.); Department of Psychology and Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque (S.P.V.); Department of Radiology, School of Medicine, University of Washington, Seattle (D.K.S.); Department of Genetics, Texas Biomedical Research Institute, San Antonio (S.A.C.); Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma, Health Sciences Center (T.A.); MedStar Health Research Institute, Hyattsville, MD (B.V.H.); Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle (D.B.); and Greenberg Division of Cardiology, Weill Cornell Medicine, New York, NY (R.B.D.)
| | - Dedra Buchwald
- Department of Medicine I, Comprehensive Heart Failure Center, University of Würzburg, Bavaria, Germany (B.V.H.); Initiative for Research and Education to Advance Community Health, Washington State University, Seattle (A.O., A.M.S.-D.); Missouri Breaks Industries Research Inc, Eagle Butte, SD (L.G.B.); Department of Psychology and Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque (S.P.V.); Department of Radiology, School of Medicine, University of Washington, Seattle (D.K.S.); Department of Genetics, Texas Biomedical Research Institute, San Antonio (S.A.C.); Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma, Health Sciences Center (T.A.); MedStar Health Research Institute, Hyattsville, MD (B.V.H.); Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle (D.B.); and Greenberg Division of Cardiology, Weill Cornell Medicine, New York, NY (R.B.D.)
| | - Richard B Devereux
- Department of Medicine I, Comprehensive Heart Failure Center, University of Würzburg, Bavaria, Germany (B.V.H.); Initiative for Research and Education to Advance Community Health, Washington State University, Seattle (A.O., A.M.S.-D.); Missouri Breaks Industries Research Inc, Eagle Butte, SD (L.G.B.); Department of Psychology and Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque (S.P.V.); Department of Radiology, School of Medicine, University of Washington, Seattle (D.K.S.); Department of Genetics, Texas Biomedical Research Institute, San Antonio (S.A.C.); Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma, Health Sciences Center (T.A.); MedStar Health Research Institute, Hyattsville, MD (B.V.H.); Initiative for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle (D.B.); and Greenberg Division of Cardiology, Weill Cornell Medicine, New York, NY (R.B.D.)
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de Roos A, van der Grond J, Mitchell G, Westenberg J. Magnetic Resonance Imaging of Cardiovascular Function and the Brain: Is Dementia a Cardiovascular-Driven Disease? Circulation 2017; 135:2178-2195. [PMID: 28559496 DOI: 10.1161/circulationaha.116.021978] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The proximal aorta acts as a coupling device between heart and brain perfusion, modulating the amount of pressure and flow pulsatility transmitted into the cerebral microcirculation. Stiffening of the proximal aorta is strongly associated with age and hypertension. The detrimental effects of aortic stiffening may result in brain damage as well as heart failure. The resulting cerebral small vessel disease and heart failure may contribute to early cognitive decline and (vascular) dementia. This pathophysiological sequence of events underscores the role of cardiovascular disease as a contributory mechanism in causing cognitive decline and dementia and potentially may provide a starting point for prevention and treatment. Magnetic resonance imaging is well suited to assess the function of the proximal aorta and the left ventricle (eg, aortic arch pulse wave velocity and distensibility) as well as the various early and late manifestations of cerebral small vessel disease (eg, microbleeds and white matter hyperintensities in strategically important regions of the brain). Specialized magnetic resonance imaging techniques are explored for diagnosing preclinical changes in white matter integrity or brain microvascular pulsatility.
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Affiliation(s)
- Albert de Roos
- From Leiden University Medical Center, Department of Radiology, The Netherlands (A.d.R., J.v.d.G., J.W.); and Cardiovascular Engineering, Inc, Norwood, MA (G.M.).
| | - Jeroen van der Grond
- From Leiden University Medical Center, Department of Radiology, The Netherlands (A.d.R., J.v.d.G., J.W.); and Cardiovascular Engineering, Inc, Norwood, MA (G.M.)
| | - Gary Mitchell
- From Leiden University Medical Center, Department of Radiology, The Netherlands (A.d.R., J.v.d.G., J.W.); and Cardiovascular Engineering, Inc, Norwood, MA (G.M.)
| | - Jos Westenberg
- From Leiden University Medical Center, Department of Radiology, The Netherlands (A.d.R., J.v.d.G., J.W.); and Cardiovascular Engineering, Inc, Norwood, MA (G.M.)
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Rossetti HC, Lacritz LH, Hynan LS, Cullum CM, Van Wright A, Weiner MF. Montreal Cognitive Assessment Performance among Community-Dwelling African Americans. Arch Clin Neuropsychol 2017; 32:238-244. [PMID: 28365749 DOI: 10.1093/arclin/acw095] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/10/2016] [Indexed: 11/12/2022] Open
Abstract
Objective To report descriptive and normative data for the Montreal Cognitive Assessment (MoCA) in a population-based African American sample. Method The MoCA was administered to 1,419 African American participants (mean age 49.89 years, range 18-75, 64% female). After excluding those with subjective cognitive complaints (n = 301), normative data were generated by education and overlapping age ranges (n = 1,118). Pearson correlations and analysis of variance were used to examine the relationship to demographic variables, and frequency of missed items was reviewed. Results Total MoCA scores (mean 22.3, SD 3.9) were lower than previously published normative data derived from an elderly Caucasian Canadian population with 80% falling below the suggested cutoff (<26) for impairment. Several MoCA items were missed by a large portion of the sample, including cube drawing (72%), delayed free recall (66% <4/5 words), sentence repetition (63%), and abstraction items (45%). Conclusion This is the first study to examine normative performance on the MoCA specific to community-dwelling African Americans. Findings suggest that certain aspects of this measure and previously established cutoff scores may not be well-suited for some populations.
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Affiliation(s)
| | - Laura H Lacritz
- Department of Psychiatry.,Department of Neurology and Neurotherapeutics
| | - Linda S Hynan
- Department of Psychiatry.,Department of Clinical Sciences, University of Texas Southwestern Medical Center at Dallas, Dallas, TX, USA
| | - C Munro Cullum
- Department of Psychiatry.,Department of Neurology and Neurotherapeutics
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Alfaro FJ, Lioutas VA, Pimentel DA, Chung CC, Bedoya F, Yoo WK, Novak V. Cognitive decline in metabolic syndrome is linked to microstructural white matter abnormalities. J Neurol 2016; 263:2505-2514. [PMID: 27730376 DOI: 10.1007/s00415-016-8292-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Revised: 09/19/2016] [Accepted: 09/20/2016] [Indexed: 01/21/2023]
Abstract
Subjects with metabolic syndrome (MetS) often show worse cognitive performance compared with the healthy population. We investigated whether microstructural white matter abnormalities are associated with cognitive performance in adults with MetS using diffusion tensor MR imaging. A total of 32 subjects with MetS (age 64.8 ± 7.8, 56.25 % female) and 23 age-, gender-, and education-matched healthy controls completed a battery of neuropsychological tests and diffusion tensor imaging (DTI) at 3-T MRI. Brain global and regional volumes, white matter fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (LD) were calculated. The least-square models adjusted for age, sex, HbA1c, hypertension, body mass index, hyperlipidemia, and white matter hyperintensities were used to evaluate the relationship between cognitive function and DTI. The MetS group had worse performance in verbal fluency (VF) and learning and memory function (total VF: T score (p = 0.01), VF: animals T score (p = 0.0001), Hopkins Verbal Learning Test (HVLT): Total recall T score (p = 0.0001), and HVLT: delayed recall T score (p = 0.002), as compared with controls. In the MetS group, abnormalities in diffusivity measures were associated with worse cognitive performance [VF: animals T score and left post-central gyrus-LD (p = 0.0007, r adj 0.4), R angular gyrus-RD (p = 0.0008, r adj 0.3), L supra-marginal gyrus-RD (p = 0.009, r adj 0.2) after adjusting for age, sex, HbA1c, 24 h mean BP, presence of hyperlipidemia, and global white matter hyperintensities]. Microstructural white matter abnormalities in the MetS group might be the underlying mechanisms of worse verbal learning and memory performance.
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Affiliation(s)
- Freddy J Alfaro
- Department of Neurology, Beth Israel Deaconess Medical Center, 185 Pilgrim Road, Palmer 127, Boston, MA, 02215, USA
| | - Vasileios-Arsenios Lioutas
- Department of Neurology, Beth Israel Deaconess Medical Center, 185 Pilgrim Road, Palmer 127, Boston, MA, 02215, USA
| | - Daniela A Pimentel
- Department of Neurology, Beth Israel Deaconess Medical Center, 185 Pilgrim Road, Palmer 127, Boston, MA, 02215, USA
| | - Chen-Chih Chung
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
| | - Francisco Bedoya
- Department of Neurology, Beth Israel Deaconess Medical Center, 185 Pilgrim Road, Palmer 127, Boston, MA, 02215, USA
| | - Woo-Kyoung Yoo
- Department of Physical Medicine and Rehabilitation, Hallym University College of Medicine, Chooncheon, Korea
- Hallym Institute of Translational Genomics and Bioinformatics, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Vera Novak
- Department of Neurology, Beth Israel Deaconess Medical Center, 185 Pilgrim Road, Palmer 127, Boston, MA, 02215, USA.
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Suzuki H, Matsumoto Y, Ota H, Sugimura K, Takahashi J, Ito K, Miyata S, Furukawa K, Arai H, Fukumoto Y, Taki Y, Shimokawa H. Hippocampal Blood Flow Abnormality Associated With Depressive Symptoms and Cognitive Impairment in Patients With Chronic Heart Failure. Circ J 2016; 80:1773-80. [PMID: 27295999 DOI: 10.1253/circj.cj-16-0367] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Depressive symptoms and memory impairment are prevalent in patients with chronic heart failure (CHF). Although the mechanisms remain to be elucidated, the hippocampus (an important brain area for emotion and memory) may be a possible neural substrate for these symptoms. METHODS AND RESULTS We prospectively enrolled 40 Stage C patients, who had past or current CHF symptoms, and as controls 40 Stage B patients, who had structural heart disease but had never had CHF symptoms, in Brain Assessment and Investigation in Heart Failure Trial (B-HeFT) (UMIN000008584). As the primary index, we measured cerebral blood flow (CBF) in the 4 anterior-posterior segments of the hippocampus, using brain MRI analysis. Depressive symptoms, immediate memory (IM) and delayed memory (DM) were assessed using Geriatric Depression Scale (GDS), and Wechsler Memory Scale-revised (WMS-R), respectively. Hippocampus CBF in the most posterior segment was significantly lower in Stage C than in Stage B group (P=0.029 adjusted for Holm's method). Multiple regression analysis identified significant association between hippocampus CBF and GDS or DM score in Stage C group (all P<0.05). GDS score was significantly higher, and IM and DM scores were lower in Stage C patients with hippocampus CBF below the median than those with hippocampus CBF above the median (all P<0.05). CONCLUSIONS Hippocampus abnormalities are associated with depressive symptoms and cognitive impairment in CHF patients. (Circ J 2016; 80: 1773-1780).
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Affiliation(s)
- Hideaki Suzuki
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine
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van de Haar HJ, Burgmans S, Jansen JFA, van Osch MJP, van Buchem MA, Muller M, Hofman PAM, Verhey FRJ, Backes WH. Blood-Brain Barrier Leakage in Patients with Early Alzheimer Disease. Radiology 2016; 281:527-535. [PMID: 27243267 DOI: 10.1148/radiol.2016152244] [Citation(s) in RCA: 377] [Impact Index Per Article: 47.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Purpose To investigate whether the blood-brain barrier (BBB) leaks blood-circulating substances in patients with early forms of Alzheimer disease (AD), and if so, to examine the extent and pattern of leakage. Materials and Methods This study was approved by the local medical ethical committees of the Maastricht University Medical Center and Leiden University Medical Center, and written informed consent was obtained from all subjects. For this pilot study, 16 patients with early AD and 17 healthy age-matched control subjects underwent dynamic contrast material-enhanced magnetic resonance (MR) imaging sequence with dual time resolution for 25 minutes. The Patlak graphical approach was used to quantify the BBB leakage rate and local blood plasma volume. Subsequent histogram analysis was used to determine the volume fraction of the leaking brain tissue. Differences were assessed with linear regression analysis, adjusted for confounding variables. Results The BBB leakage rate was significantly higher in patients compared with that in control subjects in the total gray matter (P < .05) and cortex (P = .03). Patients had a significantly higher volume fraction of the leaking brain tissue in the gray matter (P = .004), normal-appearing white matter (P < .04), deep gray matter (P = .01), and cortex (P = .004). When all subjects were considered, scores on the Mini-Mental State Examination decreased significantly with increasing leakage in the deep gray matter (P = .007) and cortex (P < .05). Conclusion The results of this study showed global BBB leakage in patients with early AD that is associated with cognitive decline. A compromised BBB may be part of a cascade of pathologic events that eventually lead to cognitive decline and dementia. ©RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Harm J van de Haar
- From the Departments of Radiology and Nuclear Medicine (H.J.v.d.H., J.F.A.J., P.A.M.H., W.H.B.) and Department of Neuropsychology and Psychiatry/Alzheimer Center Limburg (H.J.v.d.H., S.B., F.R.J.V.), Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (H.J.v.d.H., S.B., J.F.A.J., P.A.M.H., F.R.J.V., W.H.B.); and Departments of Radiology (M.J.P.v.O., M.A.v.B.) and Gerontology and Geriatrics (M.M.), Leiden University Medical Center, Leiden, the Netherlands
| | - Saartje Burgmans
- From the Departments of Radiology and Nuclear Medicine (H.J.v.d.H., J.F.A.J., P.A.M.H., W.H.B.) and Department of Neuropsychology and Psychiatry/Alzheimer Center Limburg (H.J.v.d.H., S.B., F.R.J.V.), Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (H.J.v.d.H., S.B., J.F.A.J., P.A.M.H., F.R.J.V., W.H.B.); and Departments of Radiology (M.J.P.v.O., M.A.v.B.) and Gerontology and Geriatrics (M.M.), Leiden University Medical Center, Leiden, the Netherlands
| | - Jacobus F A Jansen
- From the Departments of Radiology and Nuclear Medicine (H.J.v.d.H., J.F.A.J., P.A.M.H., W.H.B.) and Department of Neuropsychology and Psychiatry/Alzheimer Center Limburg (H.J.v.d.H., S.B., F.R.J.V.), Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (H.J.v.d.H., S.B., J.F.A.J., P.A.M.H., F.R.J.V., W.H.B.); and Departments of Radiology (M.J.P.v.O., M.A.v.B.) and Gerontology and Geriatrics (M.M.), Leiden University Medical Center, Leiden, the Netherlands
| | - Matthias J P van Osch
- From the Departments of Radiology and Nuclear Medicine (H.J.v.d.H., J.F.A.J., P.A.M.H., W.H.B.) and Department of Neuropsychology and Psychiatry/Alzheimer Center Limburg (H.J.v.d.H., S.B., F.R.J.V.), Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (H.J.v.d.H., S.B., J.F.A.J., P.A.M.H., F.R.J.V., W.H.B.); and Departments of Radiology (M.J.P.v.O., M.A.v.B.) and Gerontology and Geriatrics (M.M.), Leiden University Medical Center, Leiden, the Netherlands
| | - Mark A van Buchem
- From the Departments of Radiology and Nuclear Medicine (H.J.v.d.H., J.F.A.J., P.A.M.H., W.H.B.) and Department of Neuropsychology and Psychiatry/Alzheimer Center Limburg (H.J.v.d.H., S.B., F.R.J.V.), Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (H.J.v.d.H., S.B., J.F.A.J., P.A.M.H., F.R.J.V., W.H.B.); and Departments of Radiology (M.J.P.v.O., M.A.v.B.) and Gerontology and Geriatrics (M.M.), Leiden University Medical Center, Leiden, the Netherlands
| | - Majon Muller
- From the Departments of Radiology and Nuclear Medicine (H.J.v.d.H., J.F.A.J., P.A.M.H., W.H.B.) and Department of Neuropsychology and Psychiatry/Alzheimer Center Limburg (H.J.v.d.H., S.B., F.R.J.V.), Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (H.J.v.d.H., S.B., J.F.A.J., P.A.M.H., F.R.J.V., W.H.B.); and Departments of Radiology (M.J.P.v.O., M.A.v.B.) and Gerontology and Geriatrics (M.M.), Leiden University Medical Center, Leiden, the Netherlands
| | - Paul A M Hofman
- From the Departments of Radiology and Nuclear Medicine (H.J.v.d.H., J.F.A.J., P.A.M.H., W.H.B.) and Department of Neuropsychology and Psychiatry/Alzheimer Center Limburg (H.J.v.d.H., S.B., F.R.J.V.), Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (H.J.v.d.H., S.B., J.F.A.J., P.A.M.H., F.R.J.V., W.H.B.); and Departments of Radiology (M.J.P.v.O., M.A.v.B.) and Gerontology and Geriatrics (M.M.), Leiden University Medical Center, Leiden, the Netherlands
| | - Frans R J Verhey
- From the Departments of Radiology and Nuclear Medicine (H.J.v.d.H., J.F.A.J., P.A.M.H., W.H.B.) and Department of Neuropsychology and Psychiatry/Alzheimer Center Limburg (H.J.v.d.H., S.B., F.R.J.V.), Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (H.J.v.d.H., S.B., J.F.A.J., P.A.M.H., F.R.J.V., W.H.B.); and Departments of Radiology (M.J.P.v.O., M.A.v.B.) and Gerontology and Geriatrics (M.M.), Leiden University Medical Center, Leiden, the Netherlands
| | - Walter H Backes
- From the Departments of Radiology and Nuclear Medicine (H.J.v.d.H., J.F.A.J., P.A.M.H., W.H.B.) and Department of Neuropsychology and Psychiatry/Alzheimer Center Limburg (H.J.v.d.H., S.B., F.R.J.V.), Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands (H.J.v.d.H., S.B., J.F.A.J., P.A.M.H., F.R.J.V., W.H.B.); and Departments of Radiology (M.J.P.v.O., M.A.v.B.) and Gerontology and Geriatrics (M.M.), Leiden University Medical Center, Leiden, the Netherlands
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