1
|
Otsuka S, Kikuchi K, Takeshita Y, Takada S, Tani A, Sakakima H, Maruyama I, Makizako H. Relationship between physical activity and cerebral white matter hyperintensity volumes in older adults with depressive symptoms and mild memory impairment: a cross-sectional study. Front Aging Neurosci 2024; 16:1337397. [PMID: 38414630 PMCID: PMC10896982 DOI: 10.3389/fnagi.2024.1337397] [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: 11/13/2023] [Accepted: 01/24/2024] [Indexed: 02/29/2024] Open
Abstract
Introduction Cerebral white matter hyperintensities (WMHs) are commonly found in the aging brain and have been implicated in the initiation and severity of many central nervous system diseases. Furthermore, an increased WMH volume indicates reduced brain health in older adults. This study investigated the association between WMH volume and physical activity in older adults with depressive symptoms (DS) and mild memory impairment (MMI). Factors associated with the WMH volume were also investigated. Methods A total of 57 individuals aged over 65 years with DS and MMI were included in this study. The participants underwent magnetic resonance imaging to quantify WMH volumes. After WMH volume was accumulated, normalized to the total intracranial volume (TIV), the percentage of WMH volume was calculated. In addition, all participants wore a triaxial accelerometer for 2 weeks, and the average daily physical activity and number of steps were measured. The levels of blood biomarkers including cortisol, interleukin-6 (IL-6), brain-derived insulin-like growth factor-1, and brain-derived neurotrophic factor were measured. Motor and cognitive functions were also assessed. Results Faster maximum walking speed and longer time spent engaged in moderate physical activity were associated with a smaller percent of WMH volume, whereas higher serum IL-6 levels were associated with a larger percent of WMH volume. The number of steps per day, time spent engaged in low levels of physical activity, cognitive function, and all other measured biomarkers were not significantly associated with percent of WMH volume. Discussion Higher blood inflammatory cytokine levels, shorter duration of moderate physical activity, and lower maximum walking speed were associated with a higher percent of WMH volume. Our results provide useful information for maintaining brain health in older adults at a high risk of developing dementia and may contribute to the development of preventive medicine for brain health.
Collapse
Affiliation(s)
- Shotaro Otsuka
- Department of Laboratory and Vascular Medicine, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Kiyoshi Kikuchi
- Division of Brain Science, Department of Physiology, Kurume University School of Medicine, Kurume, Japan
- Department of Neurosurgery, Kurume University School of Medicine, Kurume, Japan
| | - Yasufumi Takeshita
- Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
| | - Seiya Takada
- Department of Laboratory and Vascular Medicine, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Akira Tani
- Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
| | - Harutoshi Sakakima
- Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
| | - Ikuro Maruyama
- Department of Laboratory and Vascular Medicine, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Hyuma Makizako
- Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
| |
Collapse
|
2
|
Rashid B, Glasser MF, Nichols T, Van Essen D, Juttukonda MR, Schwab NA, Greve DN, Yacoub E, Lovely A, Terpstra M, Harms MP, Bookheimer SY, Ances BM, Salat DH, Arnold SE. Cardiovascular and metabolic health is associated with functional brain connectivity in middle-aged and older adults: Results from the Human Connectome Project-Aging study. Neuroimage 2023; 276:120192. [PMID: 37247763 PMCID: PMC10330931 DOI: 10.1016/j.neuroimage.2023.120192] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/15/2023] [Accepted: 05/24/2023] [Indexed: 05/31/2023] Open
Abstract
Several cardiovascular and metabolic indicators, such as cholesterol and blood pressure have been associated with altered neural and cognitive health as well as increased risk of dementia and Alzheimer's disease in later life. In this cross-sectional study, we examined how an aggregate index of cardiovascular and metabolic risk factor measures was associated with correlation-based estimates of resting-state functional connectivity (FC) across a broad adult age-span (36-90+ years) from 930 volunteers in the Human Connectome Project Aging (HCP-A). Increased (i.e., worse) aggregate cardiometabolic scores were associated with reduced FC globally, with especially strong effects in insular, medial frontal, medial parietal, and superior temporal regions. Additionally, at the network-level, FC between core brain networks, such as default-mode and cingulo-opercular, as well as dorsal attention networks, showed strong effects of cardiometabolic risk. These findings highlight the lifespan impact of cardiovascular and metabolic health on whole-brain functional integrity and how these conditions may disrupt higher-order network integrity.
Collapse
Affiliation(s)
- Barnaly Rashid
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States.
| | - Matthew F Glasser
- Washington University School of Medicine, St. Louis, MO, United States
| | | | - David Van Essen
- Washington University School of Medicine, St. Louis, MO, United States
| | - Meher R Juttukonda
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States
| | - Nadine A Schwab
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States
| | - Douglas N Greve
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States
| | - Essa Yacoub
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States
| | - Allison Lovely
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States
| | | | - Michael P Harms
- Washington University in St. Louis, St. Louis, MO, United States
| | | | - Beau M Ances
- Washington University School of Medicine, St. Louis, MO, United States; Washington University in St. Louis, St. Louis, MO, United States
| | - David H Salat
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States.
| | - Steven E Arnold
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States.
| |
Collapse
|
3
|
Cui Y, Huang H, Gao J, Jiang T, Zhang C, Yu S. Mapping blood traits to structural organization of the brain in rhesus monkeys. Cereb Cortex 2022; 33:247-257. [PMID: 35253862 DOI: 10.1093/cercor/bhac065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 01/29/2022] [Accepted: 01/31/2022] [Indexed: 01/17/2023] Open
Abstract
Hematological and biochemical blood traits have been linked to brain structural characteristics in humans. However, the relationship between these two domains has not been systematically explored in nonhuman primates, which are crucial animal models for understanding the mechanisms of brain function and developing therapeutics for various disorders. Here we investigated the associations between hematological/biochemical parameters and the brain's gray matter volume and white matter integrity derived from T1-weighted and diffusion magnetic resonance imaging in 36 healthy macaques. We found that intersubject variations in basophil count and hemoglobin levels correlated with gray matter volumes in the anterior cingulum, prefrontal cortex, and putamen. Through interactions between these key elements, the blood parameters' covariation network was linked with that of the brain structures, forming overarching networks connecting blood traits with structural brain features. These networks exhibited hierarchical small-world architecture, indicating highly effective interactions between their constituent elements. In addition, different subnetworks of the brain areas or fiber tracts tended to correlate with unique groups of blood indices, revealing previously unknown brain structural organization. These results provide a quantitative characterization of the interactions between blood parameters and brain structures in macaques and may increase the understanding of the body-brain relationship and the pathogenesis of relevant disorders.
Collapse
Affiliation(s)
- Yue Cui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haibin Huang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinquan Gao
- Model R&D Center, Life Biosciences Company Limited, Beijing 100176, China.,Technology Management Center, SAFE Pharmaceutical Technology Company Limited, Beijing 100176, China
| | - Tianzi Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.,Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Chen Zhang
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Shan Yu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
4
|
García-García I, Michaud A, Jurado MÁ, Dagher A, Morys F. Mechanisms linking obesity and its metabolic comorbidities with cerebral grey and white matter changes. Rev Endocr Metab Disord 2022; 23:833-843. [PMID: 35059979 DOI: 10.1007/s11154-021-09706-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/14/2021] [Indexed: 02/07/2023]
Abstract
Obesity is a preventable risk factor for cerebrovascular disorders and it is associated with cerebral grey and white matter changes. Specifically, individuals with obesity show diminished grey matter volume and thickness, which seems to be more prominent among fronto-temporal regions in the brain. At the same time, obesity is associated with lower microstructural white matter integrity, and it has been found to precede increases in white matter hyperintensity load. To date, however, it is unclear whether these findings can be attributed solely to obesity or whether they are a consequence of cardiometabolic complications that often co-exist with obesity, such as low-grade systemic inflammation, hypertension, insulin resistance, or dyslipidemia. In this narrative review we aim to provide a comprehensive overview of the potential impact of obesity and a number of its cardiometabolic consequences on brain integrity, both separately and in synergy with each other. We also identify current gaps in knowledge and outline recommendations for future research.
Collapse
Affiliation(s)
- Isabel García-García
- Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, Barcelona, Spain.
- Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.
| | | | - María Ángeles Jurado
- Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, Barcelona, Spain
- Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Alain Dagher
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Filip Morys
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| |
Collapse
|
5
|
Andica C, Kamagata K, Uchida W, Takabayashi K, Shimoji K, Kaga H, Someya Y, Tamura Y, Kawamori R, Watada H, Hori M, Aoki S. White matter fiber-specific degeneration in older adults with metabolic syndrome. Mol Metab 2022; 62:101527. [PMID: 35691528 PMCID: PMC9234232 DOI: 10.1016/j.molmet.2022.101527] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/05/2022] [Accepted: 06/06/2022] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE Metabolic syndrome (MetS) is defined as a complex of interrelated risk factors for type 2 diabetes and cardiovascular disease, including glucose intolerance, abdominal obesity, hypertension, and dyslipidemia. Studies using diffusion tensor imaging (DTI) have reported white matter (WM) microstructural abnormalities in MetS. However, interpretation of DTI metrics is limited primarily due to the challenges of modeling complex WM structures. The present study used fixel-based analysis (FBA) to assess the effect of MetS on the fiber tract-specific WM microstructure in older adults and its relationship with MetS-related measurements and cognitive and locomotor functions to better understand the pathophysiology of MetS. METHODS Fixel-based metrics, including microstructural fiber density (FD), macrostructural fiber-bundle cross-section (FC), and a combination of FD and FC (FDC), were evaluated in 16 healthy controls (no components of MetS; four men; mean age, 71.31 ± 5.06 years), 57 individuals with premetabolic syndrome (preMetS; one or two components of MetS; 29 men; mean age, 72.44 ± 5.82 years), and 46 individuals with MetS (three to five components of MetS; 27 men; mean age, 72.15 ± 4.97 years) using whole-brain exploratory FBA. Tract of interest (TOI) analysis was then performed using TractSeg across 14 selected WM tracts previously associated with MetS. The associations between fixel-based metrics and MetS-related measurements, neuropsychological, and locomotor function tests were also analyzed in individuals with preMetS and MetS combined. In addition, tensor-based metrics (i.e., fractional anisotropy [FA] and mean diffusivity [MD]) were compared among the groups using tract-based spatial statistics (TBSS) analysis. RESULTS In whole-brain FBA, individuals with MetS showed significantly lower FD, FC, and FDC compared with healthy controls in WM areas, such as the splenium of the corpus callosum (CC), corticospinal tract (CST), middle cerebellar peduncle (MCP), and superior cerebellar peduncle (SCP). Meanwhile, in fixel-based TOI, significantly reduced FD was observed in individuals with preMetS and MetS in the anterior thalamic radiation, CST, SCP, and splenium of the CC compared with healthy controls, with relatively greater effect sizes observed in individuals with MetS. Compared with healthy controls, significantly reduced FC and FDC were only demonstrated in individuals with MetS, including regions with loss of FD, inferior cerebellar peduncle, inferior fronto-occipital fasciculus, MCP, and superior longitudinal fasciculus part I. Furthermore, negative correlations were observed between FD and Brinkman index of cigarette consumption cumulative amount and between FC or FDC and the Trail Making Test (parts B-A), which is a measure of executive function, waist circumference, or low-density lipoprotein cholesterol. Finally, TBSS analysis revealed that FA and MD were not significantly different among all groups. CONCLUSIONS The FBA results demonstrate that substantial axonal loss and atrophy in individuals with MetS and early axonal loss without fiber-bundle morphological changes in those with preMetS within the WM tracts are crucial to cognitive and motor function. FBA also clarified the association between executive dysfunction, abdominal obesity, hyper-low-density lipoprotein cholesterolemia, smoking habit, and compromised WM neural tissue microstructure in MetS.
Collapse
Affiliation(s)
- Christina Andica
- Faculty of Health Data Science, Juntendo University, Urayasu, Chiba, 279-0013, Japan; Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan.
| | - Koji Kamagata
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Wataru Uchida
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Kaito Takabayashi
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Keigo Shimoji
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Hideyoshi Kaga
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan; Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Yuki Someya
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan
| | - Yoshifumi Tamura
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan; Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Ryuzo Kawamori
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan; Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Hirotaka Watada
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan; Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Masaaki Hori
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan; Department of Radiology, Toho University Omori Medical Center, Ota, Tokyo, 143-8541, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| |
Collapse
|
6
|
Beck D, de Lange AG, Pedersen ML, Alnæs D, Maximov II, Voldsbekk I, Richard G, Sanders A, Ulrichsen KM, Dørum ES, Kolskår KK, Høgestøl EA, Steen NE, Djurovic S, Andreassen OA, Nordvik JE, Kaufmann T, Westlye LT. Cardiometabolic risk factors associated with brain age and accelerate brain ageing. Hum Brain Mapp 2022; 43:700-720. [PMID: 34626047 PMCID: PMC8720200 DOI: 10.1002/hbm.25680] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 09/02/2021] [Accepted: 09/25/2021] [Indexed: 11/17/2022] Open
Abstract
The structure and integrity of the ageing brain is interchangeably linked to physical health, and cardiometabolic risk factors (CMRs) are associated with dementia and other brain disorders. In this mixed cross-sectional and longitudinal study (interval mean = 19.7 months), including 790 healthy individuals (mean age = 46.7 years, 53% women), we investigated CMRs and health indicators including anthropometric measures, lifestyle factors, and blood biomarkers in relation to brain structure using MRI-based morphometry and diffusion tensor imaging (DTI). We performed tissue specific brain age prediction using machine learning and performed Bayesian multilevel modeling to assess changes in each CMR over time, their respective association with brain age gap (BAG), and their interaction effects with time and age on the tissue-specific BAGs. The results showed credible associations between DTI-based BAG and blood levels of phosphate and mean cell volume (MCV), and between T1-based BAG and systolic blood pressure, smoking, pulse, and C-reactive protein (CRP), indicating older-appearing brains in people with higher cardiometabolic risk (smoking, higher blood pressure and pulse, low-grade inflammation). Longitudinal evidence supported interactions between both BAGs and waist-to-hip ratio (WHR), and between DTI-based BAG and systolic blood pressure and smoking, indicating accelerated ageing in people with higher cardiometabolic risk (smoking, higher blood pressure, and WHR). The results demonstrate that cardiometabolic risk factors are associated with brain ageing. While randomized controlled trials are needed to establish causality, our results indicate that public health initiatives and treatment strategies targeting modifiable cardiometabolic risk factors may also improve risk trajectories and delay brain ageing.
Collapse
Affiliation(s)
- Dani Beck
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Ann‐Marie G. de Lange
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- LREN, Centre for Research in Neurosciences‐Department of Clinical NeurosciencesCHUV and University of LausanneLausanneSwitzerland
- Department of PsychiatryUniversity of OxfordOxfordUK
| | - Mads L. Pedersen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Bjørknes CollegeOsloNorway
| | - Ivan I. Maximov
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Department of Health and FunctioningWestern Norway University of Applied SciencesBergenNorway
| | - Irene Voldsbekk
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
| | - Geneviève Richard
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
| | - Anne‐Marthe Sanders
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Kristine M. Ulrichsen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Erlend S. Dørum
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Knut K. Kolskår
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Einar A. Høgestøl
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
| | - Nils Eiel Steen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
| | - Srdjan Djurovic
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
| | - Ole A. Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
| | | | - Tobias Kaufmann
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of Psychiatry and PsychotherapyUniversity of TübingenTubingenGermany
| | - Lars T. Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
| |
Collapse
|
7
|
Mefford MT, Chen L, Lewis CE, Muntner P, Sidney S, Launer LJ, Monda KL, Ruzza A, Kassahun H, Rosenson RS, Carson AP. Long-Term Levels of LDL-C and Cognitive Function: The CARDIA Study. J Int Neuropsychol Soc 2021; 27:1048-1057. [PMID: 33563358 PMCID: PMC8353005 DOI: 10.1017/s1355617721000059] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVES It is uncertain if long-term levels of low-density lipoprotein-cholesterol (LDL-C) affect cognition in middle age. We examined the association of LDL-C levels over 25 years with cognitive function in a prospective cohort of black and white US adults. METHODS Lipids were measured at baseline (1985-1986; age: 18-30 years) and at serial examinations conducted over 25 years. Time-averaged cumulative LDL-C was calculated using the area under the curve for 3,328 participants with ≥3 LDL-C measurements and a cognitive function assessment. Cognitive function was assessed at the Year 25 examination with the Digit Symbol Substitution Test [DSST], Rey Auditory Visual Learning Test [RAVLT], and Stroop Test. A brain magnetic resonance imaging (MRI) sub-study (N = 707) was also completed at Year 25 to assess abnormal white matter tissue volume (AWMV) and gray matter cerebral blood flow volume (GM-CBFV) as secondary outcomes. RESULTS There were 15.6%, 32.9%, 28.9%, and 22.6% participants with time-averaged cumulative LDL-C <100 mg/dL, 101-129 mg/dL, 130-159 mg/dL, and ≥160 mg/dL, respectively. Standardized differences in all cognitive function test scores ranged from 0.16 SD lower to 0.09 SD higher across time-averaged LDL-C categories in comparison to those with LDL-C < 100 mg/dL. After covariate adjustment, participants with higher versus lower time-averaged LDL-C had a lower RAVLT score (p-trend = 0.02) but no differences were present for DSST, Stroop Test, AWMV, or GM-CBFV. CONCLUSION Cumulative LDL-C was associated with small differences in memory, as assessed by RAVLT scores, but not other cognitive or brain MRI measures over 25 years of follow-up.
Collapse
Affiliation(s)
| | - Ligong Chen
- University of Alabama at Birmingham, Birmingham, AL
| | | | - Paul Muntner
- University of Alabama at Birmingham, Birmingham, AL
| | | | - Lenore J. Launer
- Intramural Research Program, National Institute on Aging, Bethesda, MD
| | - Keri L. Monda
- Center for Observational Research, Amgen Inc., Thousand Oaks, CA
| | - Andrea Ruzza
- Global Clinical Development, Cardiovascular and Metabolic Therapeutic Area, Amgen Inc., Thousand Oaks, CA
| | - Helina Kassahun
- Global Clinical Development, Cardiovascular and Metabolic Therapeutic Area, Amgen Inc., Thousand Oaks, CA
| | | | | |
Collapse
|
8
|
Jensen DEA, Leoni V, Klein-Flügge MC, Ebmeier KP, Suri S. Associations of dietary markers with brain volume and connectivity: A systematic review of MRI studies. Ageing Res Rev 2021; 70:101360. [PMID: 33991658 DOI: 10.1016/j.arr.2021.101360] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 04/22/2021] [Accepted: 05/08/2021] [Indexed: 11/20/2022]
Abstract
The high prevalence of unhealthy dietary patterns and related brain disorders, such as dementia, emphasizes the importance of research that examines the effect of dietary factors on brain health. Identifying markers of brain health, such as volume and connectivity, that relate to diet is an important first step towards understanding the lifestyle determinants of healthy brain ageing. We conducted a systematic review of 52 studies (total n = 21,221 healthy participants aged 26-80 years, 55 % female) that assessed with a range of MRI measurements, which brain areas, connections, and cerebrovascular factors were associated with dietary markers. We report associations between regional brain measures and dietary health. Collectively, lower diet quality was related to reduced brain volume and connectivity, especially in white and grey matter of the frontal, temporal and parietal lobe, cingulate, entorhinal cortex and the hippocampus. Associations were also observed in connecting fibre pathways and in particular the default-mode, sensorimotor and attention networks. However, there were also some inconsistencies in research methods and findings. We recommend that future research use more comprehensive and consistent dietary measures, more representative samples, and examine the role of key subcortical regions previously highlighted in relevant animal work.
Collapse
Affiliation(s)
- Daria E A Jensen
- Department of Psychiatry, University of Oxford, OX3 7JX, UK; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, OX37JX, UK.
| | - Virginia Leoni
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Italy
| | - Miriam C Klein-Flügge
- Department of Experimental Psychology, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Tinsley building, OX1 3SR, UK
| | | | - Sana Suri
- Department of Psychiatry, University of Oxford, OX3 7JX, UK; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, OX37JX, UK
| |
Collapse
|
9
|
Vogt NM, Hunt JFV, Ma Y, Van Hulle CA, Adluru N, Chappell RJ, Lazar KK, Jacobson LE, Austin BP, Asthana S, Johnson SC, Bendlin BB, Carlsson CM. Effects of simvastatin on white matter integrity in healthy middle-aged adults. Ann Clin Transl Neurol 2021; 8:1656-1667. [PMID: 34275209 PMCID: PMC8351379 DOI: 10.1002/acn3.51421] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 06/22/2021] [Accepted: 06/23/2021] [Indexed: 11/29/2022] Open
Abstract
Background The brain is the most cholesterol‐rich organ and myelin contains 70% of total brain cholesterol. Statins are potent cholesterol‐lowing medications used by millions of adults for prevention of vascular disease, yet the effect of statins on cholesterol‐rich brain white matter (WM) is largely unknown. Methods We used longitudinal neuroimaging data acquired from 73 healthy, cognitively unimpaired, statin‐naïve, middle‐aged adults during an 18‐month randomized controlled trial of simvastatin 40 mg daily (n = 35) or matching placebo (n = 38). ANCOVA models (covariates: age, sex, APOE‐ɛ4) tested the effect of treatment group on percent change in WM, gray matter (GM), and WM hyperintensity (WMH) neuroimaging measures at each study visit. Mediation analysis tested the indirect effects of simvastatin on WM microstructure through change in serum total cholesterol levels. Results At 18 months, the simvastatin group showed a significant preservation in global WM fractional anisotropy (β = 0.88%, 95% CI 0.27 to 1.50, P = 0.005), radial diffusivity (β = −1.10%, 95% CI −2.13 to −0.06, P = 0.039), and WM volume (β = 0.72%, 95% CI 0.13 to 1.32, P = 0.018) relative to the placebo group. There was no significant effect of simvastatin on GM or WMH volume. Change in serum total cholesterol mediated approximately 30% of the effect of simvastatin on WM microstructure. Conclusions Simvastatin treatment in healthy, middle‐aged adults resulted in preserved WM microstructure and volume at 18 months. The partial mediation by serum cholesterol reduction suggests both peripheral and central mechanisms. Future studies are needed to determine whether these effects persist and translate to cognitive outcomes. Trial Registration NCT00939822 (ClinicalTrials.gov).
Collapse
Affiliation(s)
- Nicholas M Vogt
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Jack F V Hunt
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Yue Ma
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Carol A Van Hulle
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Nagesh Adluru
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin
| | - Richard J Chappell
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Department of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Karen K Lazar
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Laura E Jacobson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Benjamin P Austin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Geriatrics Division, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Geriatrics Division, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Geriatrics Division, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Cynthia M Carlsson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Geriatrics Division, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| |
Collapse
|
10
|
Abstract
OBJECTIVE To examine the association between sleep duration in different stages of life and amnestic mild cognitive impairment (aMCI). DESIGN, SETTING, AND PARTICIPANTS A total of 2472 healthy elderly and 505 patients with aMCI in China were included in this study. The study analyzed the association between aMCI and sleep duration in different stages of life. MEASUREMENTS We compared sleep duration in different stages of life and analyzed the association between Montreal Cognitive Assessment scores and sleep duration by curve estimation. Logistic regression was used to evaluate the association between aMCI and sleep duration. RESULTS In the analysis, there were no results proving that sleep duration in youth (P = 0.719, sleep duration < 10 hours; P = 0.999, sleep duration ≥ 10 hours) or midlife (P = 0.898, sleep duration < 9 hours; P = 0.504, sleep duration ≥ 9 hours) had a significant association with aMCI. In the group sleeping less than 7 hours in late life, each hour more of sleep duration was associated with approximately 0.80 of the original risk of aMCI (P = 0.011, odds ratio = 0.80, 95% confidence interval = 0.68-0.95). CONCLUSIONS Among the elderly sleeping less than 7 hours, there is a decreased risk of aMCI for every additional hour of sleep.
Collapse
|
11
|
Iriondo A, García-Sebastian M, Arrospide A, Arriba M, Aurtenetxe S, Barandiaran M, Clerigue M, Ecay-Torres M, Estanga A, Gabilondo A, Izagirre A, Saldias J, Tainta M, Villanua J, Blennow K, Zetterberg H, Mar J, Abad-García B, Dias IHK, Goñi FM, Martínez-Lage P. Cerebrospinal Fluid 7-Ketocholesterol Level is Associated with Amyloid-β42 and White Matter Microstructure in Cognitively Healthy Adults. J Alzheimers Dis 2021; 76:643-656. [PMID: 32538843 DOI: 10.3233/jad-200105] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
BACKGROUND Abnormal cholesterol metabolism changes the neuronal membrane and may promote amyloidogenesis. Oxysterols in cerebrospinal fluid (CSF) are related to Alzheimer's disease (AD) biomarkers in mild cognitive impairment and dementia. Cholesterol turnover is important for axonal and white matter (WM) microstructure maintenance. OBJECTIVE We aim to demonstrate that the association of oxysterols, AD biomarkers, and WM microstructure occurs early in asymptomatic individuals. METHODS We studied the association of inter-individual variability of CSF 24-hydroxycholesterol (24-OHC), 27-hydroxycholesterol (27-OHC), 7-ketocholesterol (7-KC), 7β-hydroxycholesterol (7β-OHC), amyloid-β42 (Aβ42), total-tau (t-tau), phosphorylated-tau (p-tau), neurofilament (NfL), and WM microstructure using diffusion tensor imaging, generalized linear models and moderation/mediation analyses in 153 healthy adults. RESULTS Higher 7-KC levels were related to lower Aβ42, indicative of greater AD pathology (p = 0.041) . Higher 7-KC levels were related to lower fractional anisotropy (FA) and higher mean (MD), axial (AxD), and radial (RD) diffusivity. 7-KC modulated the association between AxD and NfL in the corpus callosum splenium (B = 39.39, p = 0.017), genu (B = 68.64, p = 0.000), and fornix (B = 10.97, p = 0.000). Lower Aβ42 levels were associated to lower FA and higher MD, AxD, and RD in the fornix, corpus callosum, inferior longitudinal fasciculus, and hippocampus. The association between AxD and Aβ42 was moderated by 7K-C (p = 0.048). CONCLUSION This study adds clinical evidence to support the role of 7K-C on axonal integrity and the involvement of cholesterol metabolism in the Aβ42 generation process.
Collapse
Affiliation(s)
- Ane Iriondo
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain
| | - Maite García-Sebastian
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain
| | - Arantzazu Arrospide
- Gipuzkoa Primary Care - Integrated Health Care Organizations Research Unit, Alto Deba Integrated Health Care Organisation, Nafarroa Hiribidea, Arrasate, Gipuzkoa, Spain.,Biodonostia Health Research Institute, Paseo Doctor Begiristain, Donostia, San Sebastian, Spain
| | - Maria Arriba
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain
| | - Sara Aurtenetxe
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain
| | - Myriam Barandiaran
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain
| | - Montserrat Clerigue
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain
| | - Mirian Ecay-Torres
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain
| | - Ainara Estanga
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain
| | - Alazne Gabilondo
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain
| | - Andrea Izagirre
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain.,Department of Nursing II, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Spain
| | - Jon Saldias
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain
| | - Mikel Tainta
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain
| | - Jorge Villanua
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom.,UK Dementia Research Institute at UCL, London, United Kingdom
| | - Javier Mar
- Gipuzkoa Primary Care - Integrated Health Care Organizations Research Unit, Alto Deba Integrated Health Care Organisation, Nafarroa Hiribidea, Arrasate, Gipuzkoa, Spain.,Biodonostia Health Research Institute, Paseo Doctor Begiristain, Donostia, San Sebastian, Spain
| | - Beatriz Abad-García
- Central Analysis Service, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
| | - Irundika H K Dias
- Aston Medical Research Institute, Aston Medical School, Aston University, Birmingham, UK
| | - Felix M Goñi
- Departamento de Bioquímica, University of the Basque Country (UPV/EHU) and Instituto Biofisika (CSIC, UPV/EHU), Leioa, Bizkaia, Spain
| | - Pablo Martínez-Lage
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Gipuzkoa, Spain
| |
Collapse
|
12
|
Iriondo A, García-Sebastian M, Arrospide A, Arriba M, Aurtenetxe S, Barandiaran M, Clerigue M, Ecay-Torres M, Estanga A, Gabilondo A, Izagirre A, Saldias J, Tainta M, Villanua J, Mar J, Goñi FM, Martínez-Lage P. Plasma lipids are associated with white matter microstructural changes and axonal degeneration. Brain Imaging Behav 2021; 15:1043-1057. [PMID: 32748320 DOI: 10.1007/s11682-020-00311-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Dislipidemia is a risk factor for cognitive impairment. We studied the association between interindividual variability of plasma lipids and white matter (WM) microstructure, using diffusion tensor imaging (DTI) in 273 healthy adults. Special focus was placed on 7 regions of interest (ROI) which are structural components of cognitive neurocircuitry. We also investigated the effect of plasma lipids on cerebrospinal fluid (CSF) neurofilament light chain (NfL), an axonal degeneration marker. Low density lipoprotein (LDL) and triglyceride (TG) levels showed a negative association with axial diffusivity (AxD) in multiple regions. High density lipoproteins (HDL) showed a positive correlation. The association was independent of Apolipoprotein E (APOE) genotype, blood pressure or use of statins. LDL moderated the relation between NfL and AxD in the body of the corpus callosum (p = 0.041), right cingulum gyrus (p = 0.041), right fornix/stria terminalis (p = 0.025) and right superior longitudinal fasciculus (p = 0.020) and TG in the right inferior longitudinal fasciculus (p = 0.004) and left fornix/stria terminalis (p = 0.001). We conclude that plasma lipids are associated to WM microstructural changes and axonal degeneration and might represent a risk factor in the transition from healthy aging to disease.
Collapse
Affiliation(s)
- Ane Iriondo
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Maite García-Sebastian
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Arantzazu Arrospide
- Gipuzkoa Primary Care - Integrated Health Care Organizations Research Unit. Alto Deba Integrated Health Care Organisation, Arrasate, Spain.,Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
| | - Maria Arriba
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Sara Aurtenetxe
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Myriam Barandiaran
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Montserrat Clerigue
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Mirian Ecay-Torres
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Ainara Estanga
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Alazne Gabilondo
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Andrea Izagirre
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain.,Department of Nursing II, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Jon Saldias
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Mikel Tainta
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Jorge Villanua
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Javier Mar
- Gipuzkoa Primary Care - Integrated Health Care Organizations Research Unit. Alto Deba Integrated Health Care Organisation, Arrasate, Spain.,Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
| | - Felix M Goñi
- Departamento de Bioquímica, University of the Basque Country (UPV/EHU) and Instituto Biofisika (CSIC, UPV/EHU), Leioa, Spain
| | - Pablo Martínez-Lage
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain.
| |
Collapse
|
13
|
Che Mohd Nassir CMN, Mohamad Ghazali M, Ahmad Safri A, Jaffer U, Abdullah WZ, Idris NS, Muzaimi M. Elevated Circulating Microparticle Subpopulations in Incidental Cerebral White Matter Hyperintensities: A Multimodal Study. Brain Sci 2021; 11:133. [PMID: 33498429 PMCID: PMC7909442 DOI: 10.3390/brainsci11020133] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 01/13/2021] [Accepted: 01/19/2021] [Indexed: 01/02/2023] Open
Abstract
Asymptomatic (or "silent") manifestations of cerebral small vessel disease (CSVD) are widely recognized through incidental findings of white matter hyperintensities (WMHs) as a result of magnetic resonance imaging (MRI). This study aims to examine the potential associations of surrogate markers for the evaluation of white matter integrity in CSVD among asymptomatic individuals through a battery of profiling involving QRISK2 cardiocerebrovascular risk prediction, neuroimaging, neurocognitive evaluation, and microparticles (MPs) titers. Sixty asymptomatic subjects (mean age: 39.83 ± 11.50 years) with low to moderate QRISK2 scores were recruited and underwent neurocognitive evaluation for memory and cognitive performance, peripheral venous blood collection for enumeration of selected MPs subpopulations, and 3T MRI brain scan with specific diffusion MRI (dMRI) sequences inclusive of diffusion tensor imaging (DTI). WMHs were detected in 20 subjects (33%). Older subjects (mean age: 46.00 ± 12.00 years) had higher WMHs prevalence, associated with higher QRISK2 score and reduced processing speed. They also had significantly higher mean percentage of platelet (CD62P)- and leukocyte (CD62L)-derived MPs. No association was found between reduced white matter integrity-especially at the left superior longitudinal fasciculus (LSLF)-with age and neurocognitive function; however, LSLF was associated with higher QRISK2 score, total MPs, and CD62L- and endothelial cell-derived MPs (CD146). Therefore, this study establishes these multimodal associations as potential surrogate markers for "silent" CSVD manifestations in the well-characterized cardiocerebrovascular demographic of relatively young, neurologically asymptomatic adults. Furthermore, to the best of our knowledge, this study is the first to exhibit elevated MP counts in asymptomatic CSVD (i.e., CD62P and CD62L), which warrants further delineation.
Collapse
Affiliation(s)
- Che Mohd Nasril Che Mohd Nassir
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia; (C.M.N.C.M.N.); (M.M.G.); (A.A.S.); (U.J.)
| | - Mazira Mohamad Ghazali
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia; (C.M.N.C.M.N.); (M.M.G.); (A.A.S.); (U.J.)
| | - Amanina Ahmad Safri
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia; (C.M.N.C.M.N.); (M.M.G.); (A.A.S.); (U.J.)
| | - Usman Jaffer
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia; (C.M.N.C.M.N.); (M.M.G.); (A.A.S.); (U.J.)
| | - Wan Zaidah Abdullah
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia;
- Hospital Universiti Sains Malaysia, Jalan Raja Perempuan Zainab II, Kubang Kerian 16150, Kelantan, Malaysia;
| | - Nur Suhaila Idris
- Hospital Universiti Sains Malaysia, Jalan Raja Perempuan Zainab II, Kubang Kerian 16150, Kelantan, Malaysia;
- Department of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Mustapha Muzaimi
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia; (C.M.N.C.M.N.); (M.M.G.); (A.A.S.); (U.J.)
- Hospital Universiti Sains Malaysia, Jalan Raja Perempuan Zainab II, Kubang Kerian 16150, Kelantan, Malaysia;
| |
Collapse
|
14
|
Tóth ME, Dukay B, Hoyk Z, Sántha M. Cerebrovascular Changes and Neurodegeneration Related to Hyperlipidemia: Characteristics of the Human ApoB-100 Transgenic Mice. Curr Pharm Des 2020; 26:1486-1494. [PMID: 32067608 PMCID: PMC7403644 DOI: 10.2174/1381612826666200218101818] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 11/27/2019] [Indexed: 01/07/2023]
Abstract
Serum lipid levels are closely related to the structure and function of blood vessels. Chronic hyperlipidemia may lead to damage in both the cardio- and the cerebrovascular systems. Vascular dysfunctions, including impairments of the blood-brain barrier, are known to be associated with neurodegenerative diseases. A growing number of evidence suggests that cardiovascular risk factors, such as hyperlipidemia, may increase the likelihood of developing dementia. Due to differences in lipoprotein metabolism, wild-type mice are protected against diet-induced hypercholesterolemia, and their serum lipid profile is different from that observed in humans. Therefore, several transgenic mouse models have been established to study the role of different apolipoproteins and their receptors in lipid metabolism, as well as the complications related to pathological lipoprotein levels. This mini-review focused on a transgenic mouse model overexpressing an apolipoprotein, the human ApoB-100. We discussed literature data and current advancements on the understanding of ApoB-100 induced cardio- and cerebrovascular lesions in order to demonstrate the involvement of this type of apolipoprotein in a wide range of pathologies, and a link between hyperlipidemia and neurodegeneration.
Collapse
Affiliation(s)
- Melinda E Tóth
- Institute of Biochemistry, Biological Research Centre, Sezeged, Hungary
| | - Brigitta Dukay
- Institute of Biochemistry, Biological Research Centre, Sezeged, Hungary.,Doctoral School in Biology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary
| | - Zsófia Hoyk
- Institute of Biophysics, Biological Research Centre, H-6726 Szeged, Temesvári krt. 62., Hungary
| | - Miklós Sántha
- Institute of Biochemistry, Biological Research Centre, Sezeged, Hungary
| |
Collapse
|
15
|
Zhang C, Yang Y, Zhu DM, Zhao W, Zhang Y, Zhang B, Wang Y, Zhu J, Yu Y. Neural correlates of the association between depression and high density lipoprotein cholesterol change. J Psychiatr Res 2020; 130:9-18. [PMID: 32768711 DOI: 10.1016/j.jpsychires.2020.07.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 06/29/2020] [Accepted: 07/10/2020] [Indexed: 12/21/2022]
Abstract
There is evidence that major depressive disorder (MDD) is related to serum lipid level alterations. However, the neural correlates underlying this association remain poorly understood. Forty-nine patients with MDD and fifty healthy controls (HCs) underwent structural, resting-state functional and diffusion magnetic resonance imaging scans. Voxel-based morphometry, functional connectivity (FC) and tract-based spatial statistics analyses were performed to assess brain structure and function, respectively. Blood samples were collected to measure serum levels of lipid variables including total cholesterol, triglyceride and high density lipoprotein cholesterol (HDL-C). Correlation and mediation analyses were conducted to investigate the associations of serum lipid levels with brain imaging measures in MDD patients and HCs, respectively. We found that the serum HDL-C level in MDD patients was lower than that in HCs. The lower serum HDL-C level was associated with lower gray matter volume (GMV) in ventromedial prefrontal cortex (VMPFC), higher within-network FC of the default mode network, and lower micro-structural integrity in multiple white matter regions in MDD patients. Moreover, the within-default mode network FC mediated the relationship between GMV in VMPFC and serum HDL-C level; white matter integrity in genu of corpus callosum mediated the relationship between serum HDL-C level and depressive symptom severity. However, we did not observe any correlations between serum lipids and brain imaging parameters in HCs. These findings help to identify neural correlates underlying the association between depression and serum HDL-C change, which may provide new insight into intervention, treatment and prevention of depression from the perspective of regulating serum lipids.
Collapse
Affiliation(s)
- Cun Zhang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Ying Yang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Dao-Min Zhu
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China; Hefei Fourth People's Hospital, Hefei, 230022, China; Anhui Mental Health Center, Hefei, 230022, China
| | - Wenming Zhao
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Yu Zhang
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China; Hefei Fourth People's Hospital, Hefei, 230022, China; Anhui Mental Health Center, Hefei, 230022, China
| | - Biao Zhang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Yajun Wang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
| |
Collapse
|
16
|
Altendahl M, Cotter DL, Staffaroni AM, Wolf A, Mumford P, Cobigo Y, Casaletto K, Elahi F, Ruoff L, Javed S, Bettcher BM, Fox E, You M, Saloner R, Neylan TC, Kramer JH, Walsh CM. REM sleep is associated with white matter integrity in cognitively healthy, older adults. PLoS One 2020; 15:e0235395. [PMID: 32645032 PMCID: PMC7347149 DOI: 10.1371/journal.pone.0235395] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 06/16/2020] [Indexed: 11/19/2022] Open
Abstract
There is increasing awareness that self-reported sleep abnormalities are negatively associated with brain structure and function in older adults. Less is known, however, about how objectively measured sleep associates with brain structure. We objectively measured at-home sleep to investigate how sleep architecture and sleep quality related to white matter microstructure in older adults. 43 cognitively normal, older adults underwent diffusion tensor imaging (DTI) and a sleep assessment within a six-month period. Participants completed the PSQI, a subjective measure of sleep quality, and used an at-home sleep recorder (Zeo, Inc.) to measure total sleep time (TST), sleep efficiency (SE), and percent time in light sleep (LS), deep sleep (DS), and REM sleep (RS). Multiple regressions predicted fractional anisotropy (FA) and mean diffusivity (MD) of the corpus callosum as a function of total PSQI score, TST, SE, and percent of time spent in each sleep stage, controlling for age and sex. Greater percent time spent in RS was significantly associated with higher FA (β = 0.41, p = 0.007) and lower MD (β = -0.30, p = 0.03). Total PSQI score, TST, SE, and time spent in LS or DS were not significantly associated with FA or MD (p>0.13). Percent time spent in REM sleep, but not quantity of light and deep sleep or subjective/objective measures of sleep quality, positively predicted white matter microstructure integrity. Our results highlight an important link between REM sleep and brain health that has the potential to improve sleep interventions in the elderly.
Collapse
Affiliation(s)
- Marie Altendahl
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Devyn L. Cotter
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Adam M. Staffaroni
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Amy Wolf
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Paige Mumford
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Yann Cobigo
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Kaitlin Casaletto
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Fanny Elahi
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Leslie Ruoff
- San Francisco VA Medical Center, Stress & Health Research Program, Department of Mental Health, San Francisco, California, United States of America
| | - Samirah Javed
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
- Department of Psychiatry, University of California, San Francisco, California, United States of America
| | - Brianne M. Bettcher
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
- Rocky Mountain Alzheimer’s Disease Center, Departments of Neurosurgery and Neurology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Emily Fox
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Michelle You
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Rowan Saloner
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Thomas C. Neylan
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
- San Francisco VA Medical Center, Stress & Health Research Program, Department of Mental Health, San Francisco, California, United States of America
- Department of Psychiatry, University of California, San Francisco, California, United States of America
| | - Joel H. Kramer
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
- Department of Psychiatry, University of California, San Francisco, California, United States of America
| | - Christine M. Walsh
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| |
Collapse
|
17
|
Yang FN, Stanford M, Jiang X. Low Cholesterol Level Linked to Reduced Semantic Fluency Performance and Reduced Gray Matter Volume in the Medial Temporal Lobe. Front Aging Neurosci 2020; 12:57. [PMID: 32300296 PMCID: PMC7142997 DOI: 10.3389/fnagi.2020.00057] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 02/19/2020] [Indexed: 11/29/2022] Open
Abstract
Hyperlipidemia has been proposed as a risk factor of dementia and cognitive decline. However, the findings of the relationship between cholesterol level and cognitive/brain function have been inconsistent. Here, using a well-controlled sample from the Parkinson's Progression Markers Initiative (PPMI), we investigated the probable non-linear relationship between plasma total cholesterol (TC) level, gray matter volume (GMv), and cognitive performance in 117 non-demented subjects (mean age, 61.5 ± 8.9 years), including 67 Parkinson's disease (PD) patients and 50 demographically matched controls. A quadratic relationship between semantic fluency (SF) performance and TC levels was identified. Within the subjects with a desirable TC level (TC < 200 mg/dl), low TC (lTC) levels were associated with reduced SF performance, as well as reduced GMv in three medial temporal regions [including bilateral anterior hippocampus (HIP)]. In contrast, no significant relationship between TC and cognition performance/GMv was found in individuals with a high cholesterol level (i.e., TC ≥ 200 mg/dl). Further region of interest (ROI)-based analysis showed that individuals with TC levels ranging from 100 to 160 mg/dl had the lowest GMv in the medial temporal regions. These findings suggest that low-normal TC level may be associated with reduced cognitive function and brain atrophy in regions implicated in neurodegenerative diseases, adding to a growing body of literature supporting a probable non-linear relationship between cholesterol level and brain health. However, this finding needs to be verified with other large public cohort data that do not include PD patients.
Collapse
Affiliation(s)
- Fan Nils Yang
- Department of Neuroscience, Georgetown University Medical Center, Washington, DC, United States
| | - Macdonell Stanford
- Department of Neuroscience, Georgetown University Medical Center, Washington, DC, United States
- School of Medicine, Georgetown University Medical Center, Washington, DC, United States
| | - Xiong Jiang
- Department of Neuroscience, Georgetown University Medical Center, Washington, DC, United States
| |
Collapse
|
18
|
Rashid B, Dev SI, Esterman M, Schwarz NF, Ferland T, Fortenbaugh FC, Milberg WP, McGlinchey RE, Salat DH, Leritz EC. Aberrant patterns of default-mode network functional connectivity associated with metabolic syndrome: A resting-state study. Brain Behav 2019; 9:e01333. [PMID: 31568716 PMCID: PMC6908882 DOI: 10.1002/brb3.1333] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 03/13/2019] [Accepted: 03/29/2019] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION Metabolic syndrome (MetS) is a clustering of three or more cardiovascular risk factors (RF), including hypertension, obesity, high cholesterol, or hyperglycemia. MetS and its component RFs are more prevalent in older age, and can be accompanied by alterations in brain structure. Studies have shown altered functional connectivity (FC) in samples with individual RFs as well as in clinical populations that are at higher risk to develop MetS. These studies have indicated that the default mode network (DMN) may be particularly vulnerable, yet little is known about the overall impact of MetS on FC in this network. METHODS In this study, we evaluated the integrity of FC to the DMN in participants with MetS relative to non-MetS individuals. Using a seed-based connectivity analysis approach, resting-state functional MRI (fMRI) data were analyzed, and the FC measures among the DMN seed (isthmus of the cingulate) and rest of the brain voxels were estimated. RESULTS Participants with MetS demonstrated reduced positive connectivity between the DMN seed and left superior frontal regions, and reduced negative connectivity between the DMN seed and left superior parietal, left postcentral, right precentral, right superior temporal and right superior parietal regions, after accounting for age- and sex-effects. CONCLUSIONS Our results suggest that MetS is associated with alterations in FC between the DMN and other regions of the brain. Furthermore, these results indicate that the overall burden of vascular RFs associated with MetS may, in part, contribute to the pathophysiology underlying aberrant FC in the DMN.
Collapse
Affiliation(s)
- Barnaly Rashid
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Sheena I Dev
- Harvard Medical School, Boston, Massachusetts.,SDSU/UCSD Joint Doctoral Program in Clinical Psychology, San Diego, California
| | - Michael Esterman
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts
| | - Nicolette F Schwarz
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,McLean Imaging Center, McLean Hospital, Belmont, Massachusetts
| | - Tori Ferland
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Francesca C Fortenbaugh
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - William P Milberg
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Regina E McGlinchey
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - David H Salat
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,The Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts
| | - Elizabeth C Leritz
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
19
|
Johnson NF, Gold BT, Ross D, Bailey AL, Clasey JL, Gupta V, Leung SW, Powell DK. Non-fasting High-Density Lipoprotein Is Associated With White Matter Microstructure in Healthy Older Adults. Front Aging Neurosci 2019; 11:100. [PMID: 31133843 PMCID: PMC6513892 DOI: 10.3389/fnagi.2019.00100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Accepted: 04/11/2019] [Indexed: 11/13/2022] Open
Abstract
A growing body of evidence indicates that biomarkers of cardiovascular risk may be related to cerebral health. However, little is known about the role that non-fasting lipoproteins play in assessing age-related declines in a cerebral biomarker sensitive to vascular compromise, white matter (WM) microstructure. High-density lipoprotein cholesterol (HDL-C) is atheroprotective and low-density lipoprotein cholesterol (LDL-C) is a major atherogenic lipoprotein. This study explored the relationships between non-fasting levels of cholesterol and WM microstructure in healthy older adults. A voxelwise and region of interest approach was used to determine the relationship between cholesterol and fractional anisotropy (FA). Participants included 87 older adults between the ages of 59 and 77 (mean age = 65.5 years, SD = 3.9). Results indicated that higher HDL-C was associated with higher FA in diffuse regions of the brain when controlling for age, sex, and body mass index (BMI). HDL-C was also positively associated with FA in the corpus callosum and fornix. No relationship was observed between LDL-C and FA. Findings suggest that a modifiable lifestyle variable associated with cardiovascular health may help to preserve cerebral WM.
Collapse
Affiliation(s)
- Nathan F Johnson
- Department of Rehabilitation Sciences, Division of Physical Therapy, University of Kentucky, Lexington, KY, United States
| | - Brian T Gold
- Neuroscience Department, University of Kentucky, Lexington, KY, United States.,Magnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, KY, United States.,Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, United States
| | - Dorothy Ross
- Clinical Services Core, University of Kentucky, Lexington, KY, United States
| | - Alison L Bailey
- Erlanger Heart and Lung Institute, University of Tennessee College of Medicine Chattanooga, Chattanooga, TN, United States
| | - Jody L Clasey
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, KY, United States
| | - Vedant Gupta
- Gill Heart and Vascular Institute, University of Kentucky, Lexington, KY, United States
| | - Steve W Leung
- Gill Heart and Vascular Institute, University of Kentucky, Lexington, KY, United States
| | - David K Powell
- Neuroscience Department, University of Kentucky, Lexington, KY, United States.,Magnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, KY, United States
| |
Collapse
|
20
|
Sidaraite A, Liutkeviciene R, Glebauskiene B, Vilkeviciute A, Kriauciuniene L. Associations of cholesteryl ester transfer protein (CETP) gene variants with pituitary adenoma. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub 2019; 164:189-195. [PMID: 31012439 DOI: 10.5507/bp.2019.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Accepted: 04/04/2019] [Indexed: 01/06/2023] Open
Abstract
AIM The aim was to evaluate the association of CETP (rs5882 and rs708272) single nucleotide polymorphisms with the presence, invasiveness, hormonal activity and recurrence of pituitary adenoma (PA). METHODS The study group included 142 patients with PA and the control group, 753 healthy subjects. The genotyping of CETP (rs5882 and rs708272) was performed using a real-time PCR method. RESULTS After statistical analysis we found that CETP rs708272 genotype G/A under the over-dominant model was associated with the decreased odds of PA (OR=0.637; 95%CI: 0.443-0.917; P=0.015), active PA (OR=0.538; 95%CI: 0.335-0.865; P =0.01) and non-recurrent PA (OR=0.602; 95% CI: 0.402 - 0.902; P =0.014). When compared to controls, the rs708272 genotype G/A was less frequent in the active PA subgroup (37.5% vs 52.7%, P =0.009) and the non-recurrent PA subgroup (40.2% vs 52.7%, P=0.013), while the rs5882 genotype A/A was less frequent in the non-recurrent PA subgroup (37.5% vs 46.2%, P=0.015). CONCLUSION Our study showed that CETP rs708272 genotype G/A may be associated with a decreased risk of PA.
Collapse
Affiliation(s)
- Agne Sidaraite
- Lithuanian University of Health Sciences, Medical Academy, Eiveniu 2, Kaunas, Lithuania
| | - Rasa Liutkeviciene
- Neuroscience Institute, Lithuanian University of Health Sciences, Medical Academy, Eiveniu 2, Kaunas, Lithuania.,Department of Ophthalmology, Lithuanian University of Health Sciences, Medical Academy, Eiveniu 2, Kaunas, Lithuania
| | - Brigita Glebauskiene
- Department of Ophthalmology, Lithuanian University of Health Sciences, Medical Academy, Eiveniu 2, Kaunas, Lithuania
| | - Alvita Vilkeviciute
- Neuroscience Institute, Lithuanian University of Health Sciences, Medical Academy, Eiveniu 2, Kaunas, Lithuania
| | - Loresa Kriauciuniene
- Neuroscience Institute, Lithuanian University of Health Sciences, Medical Academy, Eiveniu 2, Kaunas, Lithuania.,Department of Ophthalmology, Lithuanian University of Health Sciences, Medical Academy, Eiveniu 2, Kaunas, Lithuania
| |
Collapse
|
21
|
Williams OA, An Y, Beason-Held L, Huo Y, Ferrucci L, Landman BA, Resnick SM. Vascular burden and APOE ε4 are associated with white matter microstructural decline in cognitively normal older adults. Neuroimage 2019; 188:572-583. [PMID: 30557663 PMCID: PMC6601608 DOI: 10.1016/j.neuroimage.2018.12.009] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 11/20/2018] [Accepted: 12/04/2018] [Indexed: 11/27/2022] Open
Abstract
White matter microstructure can be measured with diffusion tensor imaging (DTI). While increasing age is a predictor of white matter (WM) microstructure changes, roles of other possible modifiers, such as cardiovascular risk factors, APOE ε4 allele status and biological sex have not been clarified. We investigated 665 cognitively normal participants from the Baltimore Longitudinal Study of Aging (age 50-95, 56.7% female) with a total of 1384 DTI scans. WM microstructure was assessed by fractional anisotropy (FA) and mean diffusivity (MD). A vascular burden score was defined as the sum of five risk factors (hypertension, obesity, elevated cholesterol, diabetes and smoking status). Linear mixed effects models assessed the association of baseline vascular burden on baseline and on rates of change of FA and MD over a mean follow-up of 3.6 years, while controlling for age, race, and scanner type. We also compared DTI trajectories in APOE ε4 carriers vs. non-carriers and men vs. women. At baseline, higher vascular burden was associated with lower FA and higher MD in many WM structures including association, commissural, and projection fibers. Higher baseline vascular burden was also associated with greater longitudinal decline in FA in the hippocampal part of the cingulum and the fornix (crus)/stria terminalis and splenium of the corpus callosum, and with greater increases in MD in the splenium of the corpus callosum. APOE ε4 carriers did not differ from non-carriers in baseline DTI metrics but had greater decline in FA in the genu and splenium of the corpus callosum. Men had higher FA and lower MD in multiple WM regions at baseline but showed greater increase in MD in the genu of the corpus callosum. Women showed greater decreases over time in FA in the gyrus part of the cingulum, compared to men. Our findings show that modifiable vascular risk factors (1) have a negative impact on white matter microstructure and (2) are associated with faster microstructural deterioration of temporal WM regions and the splenium of the corpus callosum in cognitively normal adults. Reducing vascular burden in aging could modify the rate of WM deterioration and could decrease age-related cognitive decline and impairment.
Collapse
Affiliation(s)
- Owen A Williams
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD 21224, USA.
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD 21224, USA
| | - Lori Beason-Held
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD 21224, USA
| | - Yuankai Huo
- School of Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Bennett A Landman
- School of Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD 21224, USA.
| |
Collapse
|
22
|
Widespread white-matter microstructure integrity reduction in first-episode schizophrenia patients after acute antipsychotic treatment. Schizophr Res 2019; 204:238-244. [PMID: 30177343 DOI: 10.1016/j.schres.2018.08.021] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 07/21/2018] [Accepted: 08/13/2018] [Indexed: 02/05/2023]
Abstract
Potential effects of initiating acute antipsychotic treatment on white matter (WM) microstructure in schizophrenia patients remain poorly characterized. Thirty-five drug-naïve first-episode schizophrenia patients were scanned before and after six weeks of treatment with second-generation antipsychotic medications. Nineteen demographically matched healthy subjects were scanned twice over the same time interval. Tract-based spatial statistics was used to test for changes in WM microstructural integrity after treatment. Widespread fractional anisotropy (FA) decrease was found in patients after antipsychotic treatment in bilateral posterior corona radiata, anterior corona radiata, superior corona radiata and posterior thalamic radiation, left posterior limb of the internal capsule, and mid-body of the corpus callosum. These effects appeared to result primarily from decreased axial diffusivity. These findings suggest an effect on brain white matter from acute antipsychotic therapy in schizophrenia.
Collapse
|
23
|
Hannawi Y, Yanek L, Kral B, Vaidya D, Becker L, Becker D, Nyquist P. Hypertension Is Associated with White Matter Disruption in Apparently Healthy Middle-Aged Individuals. AJNR Am J Neuroradiol 2018; 39:2243-2248. [PMID: 30442693 PMCID: PMC6368444 DOI: 10.3174/ajnr.a5871] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 09/21/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND PURPOSE Traditional cardiovascular risk factors have been associated with white matter disease. Because hypertension results in vascular stiffness and impaired cerebral perfusion, we hypothesized that it would be the most relevant risk factor for microstructural white matter disruption in apparently healthy middle-aged individuals with a family history of early-onset coronary artery disease. MATERIALS AND METHODS This was a cross-sectional analysis of participants in the Genetic Study of Atherosclerosis Risk with DTI. Regional fractional anisotropy of 181 segmented brain regions was measured using Eve WM Atlas. Risk factors were examined using univariate analysis for 48 regions representing deep WM structures. Minimal multivariable linear regression models adjusting for age, sex, and race and maximal linear regression models adjusting for cardiovascular risk factors were performed for regions meeting the Bonferroni threshold in the initial analysis. RESULTS Included were 116 subjects (mean age, 49 ± 11 years; 57% men) with a moderate load of cardiovascular risk factors. Subjects with hypertension had significantly lower regional fractional anisotropy in the right cingulum and left stria terminalis in the minimal and maximal regression models. Additionally, there was lower regional fractional anisotropy in the left fornix in the maximal model and right sagittal stratum in the minimal model. Systolic blood pressure values were significantly associated with regional fractional anisotropy in the left superior longitudinal fasciculus in the maximal model. There were no significant differences among regional fractional anisotropy values for other cardiovascular risk factors. CONCLUSIONS In middle-aged apparently healthy individuals with susceptibility to vascular disease, among all known cardiovascular risk factors, hypertension was associated with microstructural WM disruption.
Collapse
Affiliation(s)
- Y. Hannawi
- From the Department of Neurology (Y.H.), Division of Cerebrovascular Diseases and Neurocritical Care, Ohio State University, Columbus, Ohio
| | - L.R. Yanek
- GeneSTAR Research Program (L.R.Y., B.G.K., D.V., L.C.B., D.M.B.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - B.G. Kral
- GeneSTAR Research Program (L.R.Y., B.G.K., D.V., L.C.B., D.M.B.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - D. Vaidya
- GeneSTAR Research Program (L.R.Y., B.G.K., D.V., L.C.B., D.M.B.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - L.C. Becker
- GeneSTAR Research Program (L.R.Y., B.G.K., D.V., L.C.B., D.M.B.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - D.M. Becker
- GeneSTAR Research Program (L.R.Y., B.G.K., D.V., L.C.B., D.M.B.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - P.A. Nyquist
- Department of Anesthesiology and Critical Care Medicine (P.A.N.), Neurosciences Critical Care,Department of Neurology (P.A.N.), Johns Hopkins University, Baltimore, Maryland
| |
Collapse
|
24
|
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
|
25
|
Pasha EP, Birdsill AC, Oleson S, Tanaka H, Haley AP. Associations of carotid arterial compliance and white matter diffusion metrics during midlife: modulation by sex. Neurobiol Aging 2018. [PMID: 29533790 DOI: 10.1016/j.neurobiolaging.2018.02.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Sex differences in cerebral white matter (WM) aging have been debated extensively over the past 2 decades without unequivocal resolution. We aimed to determine if the effects of age and arterial stiffness on WM microstructure differ between sexes. Artery elasticity via carotid artery compliance (CAC) and WM diffusion metrics via diffusion tensor image-derived fractional anisotropy (FA) and mean diffusivity (MD) were measured in 155 (87 females) middle-aged (40-62 years) adults. Males demonstrated poorer water diffusion metrics in WM than women in the corpus callosum body, cingulum, and cingulum (hippocampal). Age and CAC had greater effects on WM water diffusion in males than females in midlife independent of education and cardiovascular risk factors. Sex-moderated age (cingulum FA, cingulum [hippocampal] MD, and uncinate MD, all p < 0.05) and CAC (cingulum FA, p < 0.05) related reductions in regional WM diffusion metrics. CAC mediated age-related associations in regional WM diffusion metrics (cingulum FA, cingulum MD, superior corona radiata MD, and uncinate MD, all p < 0.05) in males but not in females. Age and CAC were associated with WM diffusion metrics independent of cardiovascular risk factors. These associations appear to be stronger in males than in females.
Collapse
Affiliation(s)
- Evan P Pasha
- Cardiovascular Aging Research Laboratory, Department of Kinesiology and Health Education.
| | - Alex C Birdsill
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Stephanie Oleson
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Hirofumi Tanaka
- Cardiovascular Aging Research Laboratory, Department of Kinesiology and Health Education
| | - Andreana P Haley
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA; Imaging Research Center, The University of Texas at Austin, Austin, TX, USA
| |
Collapse
|
26
|
Alfaro FJ, Gavrieli A, Saade-Lemus P, Lioutas VA, Upadhyay J, Novak V. White matter microstructure and cognitive decline in metabolic syndrome: a review of diffusion tensor imaging. Metabolism 2018; 78:52-68. [PMID: 28920863 PMCID: PMC5732847 DOI: 10.1016/j.metabol.2017.08.009] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 08/18/2017] [Accepted: 08/22/2017] [Indexed: 12/13/2022]
Abstract
Metabolic syndrome is a cluster of cardiovascular risk factors defined by the presence of abdominal obesity, glucose intolerance, hypertension and/or dyslipidemia. It is a major public health epidemic worldwide, and a known risk factor for the development of cognitive dysfunction and dementia. Several studies have demonstrated a positive association between the presence of metabolic syndrome and worse cognitive outcomes, however, evidence of brain structure pathology is limited. Diffusion tensor imaging has offered new opportunities to detect microstructural white matter changes in metabolic syndrome, and a possibility to detect associations between functional and structural abnormalities. This review analyzes the impact of metabolic syndrome on white matter microstructural integrity, brain structure abnormalities and their relationship to cognitive function. Each of the metabolic syndrome components exerts a specific signature of white matter microstructural abnormalities. Metabolic syndrome and its components exert both additive/synergistic, as well as, independent effects on brain microstructure thus accelerating brain aging and cognitive decline.
Collapse
Affiliation(s)
- Freddy J Alfaro
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Anna Gavrieli
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Patricia Saade-Lemus
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Vasileios-Arsenios Lioutas
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Jagriti Upadhyay
- Department of Endocrinology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA 02215,USA.
| | - Vera Novak
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| |
Collapse
|
27
|
Early life characteristics and late life burden of cerebral small vessel disease in the Lothian Birth Cohort 1936. Aging (Albany NY) 2017; 8:2039-2061. [PMID: 27652981 PMCID: PMC5076451 DOI: 10.18632/aging.101043] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 09/04/2016] [Indexed: 11/25/2022]
Abstract
It is unknown whether relations between early-life factors and overall health in later life apply to burden of cerebral small vessel disease (cSVD), a major cause of stroke and dementia. We explored relations between early-life factors and cSVD in the Lothian Birth Cohort, a healthy aging cohort. Participants were recruited at age 70 (N = 1091); most had completed a test of cognitive ability at age 11 as part of the Scottish Mental Survey of 1947. Of those, 700 participants had brain MRI that could be rated for cSVD conducted at age 73. Presence of lacunes, white matter hyperintensities, microbleeds, and perivascular spaces were summed in a score of 0-4 representing all MRI cSVD features. We tested associations with early-life factors using multivariate logistic regression. Greater SVD score was significantly associated with lower age-11 IQ (OR higher SVD score per SD age-11 IQ = .78, 95%CI 0.65-.95, p=.01). The associations between SVD score and own job class (OR higher job class, .64 95%CI .43-.95, p=.03), age-11 deprivation index (OR per point deprivation score, 1.08, 95%CI 1.00-1.17, p=.04), and education (OR some qualifying education, .60 95%CI .37-.98, p=.04) trended towards significance (p<.05 for all) but did not meet thresholds for multiple testing. No early-life factor was significantly associated with any one individual score component. Early-life factors may contribute to age-73 burden of cSVD. These relations, and the potential for early social interventions to improve brain health, deserve further study.
Collapse
|
28
|
Ryan M, Kochunov P, Rowland LM, Mitchell BD, Wijtenburg SA, Fieremans E, Veraart J, Novikov DS, Du X, Adhikari B, Fisseha F, Bruce H, Chiappelli J, Sampath H, Ament S, O’Connell J, Shuldiner AR, Hong LE. Lipid Metabolism, Abdominal Adiposity, and Cerebral Health in the Amish. Obesity (Silver Spring) 2017; 25:1876-1880. [PMID: 28834322 PMCID: PMC5667552 DOI: 10.1002/oby.21946] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Revised: 06/21/2017] [Accepted: 07/05/2017] [Indexed: 01/02/2023]
Abstract
OBJECTIVE To assess the association between peripheral lipid/fat profiles and cerebral gray matter (GM) and white matter (WM) in healthy Old Order Amish (OOA). METHODS Blood lipids, abdominal adiposity, liver lipid contents, and cerebral microstructure were assessed in OOA (N = 64, 31 males/33 females, ages 18-77). Orthogonal factors were extracted from lipid and imaging adiposity measures. GM assessment used the Human Connectome Project protocol to measure whole-brain average cortical thickness. Diffusion-weighted imaging was used to derive WM fractional anisotropy and kurtosis anisotropy measurements. RESULTS Lipid/fat measures were captured by three orthogonal factors explaining 80% of the variance. Factor one loaded on cholesterol and/or low-density lipoprotein cholesterol measurements; factor two loaded on triglyceride/liver measurements; and factor three loaded on abdominal fat measurements. A two-stage regression including age/sex (first stage) and the three factors (second stage) examined the peripheral lipid/fat effects. Factors two and three significantly contributed to WM measures after Bonferroni corrections (P < 0.007). No factor significantly contributed to GM. Blood pressure (BP) inclusion did not meaningfully alter the lipid/fat-WM relationship. CONCLUSIONS Peripheral lipid/fat indicators were significantly and negatively associated with cerebral WM rather than with GM, independent of age and BP level. Dissecting the fat/lipid components contributing to different brain imaging parameters may open a new understanding of the body-brain connection through lipid metabolism.
Collapse
Affiliation(s)
- Meghann Ryan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
- CONTACT INFO: Please address correspondence to: Dr. Peter Kochunov, Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, School of Medicine, Baltimore, MD, USA, Phone: (410) 402-6110, Fax: (410)-402-7198,
| | - Laura M. Rowland
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - S. Andrea Wijtenburg
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Els Fieremans
- Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA
| | - Jelle Veraart
- Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA
| | - Dmitry S. Novikov
- Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA
| | - Xiaoming Du
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Bhim Adhikari
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Feven Fisseha
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Heather Bruce
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joshua Chiappelli
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Hemalatha Sampath
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Seth Ament
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jeffrey O’Connell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alan R. Shuldiner
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - L. Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| |
Collapse
|
29
|
Ryu CW, Coutu JP, Greka A, Rosas HD, Jahng GH, Rosen BR, Salat DH. Differential associations between systemic markers of disease and white matter tissue health in middle-aged and older adults. J Cereb Blood Flow Metab 2017; 37:3568-3579. [PMID: 27298238 PMCID: PMC5669337 DOI: 10.1177/0271678x16653613] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Age-associated cerebrovascular disease impacts brain tissue integrity, but other factors, including normal variation in blood markers of systemic health, may also influence the structural integrity of the brain. This cross-sectional study included 139 individuals between 40 to 86 years old who were physically healthy and cognitively intact. Eleven markers (total-cholesterol, high-density lipoprotein, low-density lipoprotein, triglyceride, insulin, fasting glucose, glycated hemoglobin, creatinine, blood urea nitrogen, albumin, total protein) and five derived indicators (estimated glomerular filtration rate, creatinine clearance rate, insulin-resistance, average glucose, and cholesterol/high-density lipoprotein ratio) were obtained from blood sampling. Diffusion tensor imaging was used to evaluate white matter tissue health. Blood markers were clustered into five factors. The first factor (defined as insulin/high-density lipoprotein factor) was associated with markers of integrity in the deep white matter and projection fiber systems, while the third factor (defined as kidney function factor) was associated with different markers of integrity in the periventricular and watershed white matter regions. Differential segregated associations for insulin and high-density lipoprotein levels and serum markers of kidney function may provide information about distinct mechanisms of brain changes across the lifespan. These results emphasize the need to determine whether therapeutic modulation of systemic health and organ function may prevent decline in brain structural integrity.
Collapse
Affiliation(s)
- Chang-Woo Ryu
- 1 MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,2 Department of Radiology, School of Medicine, Kyung Hee University, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
| | - Jean-Philippe Coutu
- 1 MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,3 Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Anna Greka
- 4 Renal Division, Department of Medicine, Glom-NExT Center, Brigham and Women's Hospital, Boston MA, USA.,5 Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - H Diana Rosas
- 1 MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,6 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Geon-Ho Jahng
- 2 Department of Radiology, School of Medicine, Kyung Hee University, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
| | - Bruce R Rosen
- 1 MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,7 Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David H Salat
- 1 MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,7 Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,8 Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, MA, USA
| |
Collapse
|
30
|
Khan A, Akhtar N, Kamran S, Ponirakis G, Petropoulos IN, Tunio NA, Dargham SR, Imam Y, Sartaj F, Parray A, Bourke P, Khan R, Santos M, Joseph S, Shuaib A, Malik RA. Corneal Confocal Microscopy Detects Corneal Nerve Damage in Patients Admitted With Acute Ischemic Stroke. Stroke 2017; 48:3012-3018. [PMID: 29018135 DOI: 10.1161/strokeaha.117.018289] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 09/06/2017] [Accepted: 09/13/2017] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND PURPOSE Corneal confocal microscopy can identify corneal nerve damage in patients with peripheral and central neurodegeneration. However, the use of corneal confocal microscopy in patients presenting with acute ischemic stroke is unknown. METHODS One hundred thirty patients (57 without diabetes mellitus [normal glucose tolerance], 32 with impaired glucose tolerance, and 41 with type 2 diabetes mellitus) admitted with acute ischemic stroke, and 28 age-matched healthy control participants underwent corneal confocal microscopy to quantify corneal nerve fiber density, corneal nerve branch density, and corneal nerve fiber length. RESULTS There was a significant reduction in corneal nerve fiber density, corneal nerve branch density, and corneal nerve fiber length in stroke patients with normal glucose tolerance (P<0.001, P<0.001, P<0.001), impaired glucose tolerance (P=0.004, P<0.001, P=0.002), and type 2 diabetes mellitus (P<0.001, P<0.001, P<0.001) compared with controls. HbA1c and triglycerides correlated with corneal nerve fiber density (r=-0.187, P=0.03; r=-0.229 P=0.01), corneal nerve fiber length (r=-0.228, P=0.009; r=-0.285; P=0.001), and corneal nerve branch density (r=-0.187, P=0.033; r=-0.229, P=0.01). Multiple linear regression showed no independent associations between corneal nerve fiber density, corneal nerve branch density, and corneal nerve fiber length and relevant risk factors for stroke. CONCLUSIONS Corneal confocal microscopy is a rapid noninvasive ophthalmic imaging technique that identifies corneal nerve fiber loss in patients with acute ischemic stroke.
Collapse
Affiliation(s)
- Adnan Khan
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Naveed Akhtar
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Saadat Kamran
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Georgios Ponirakis
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Ioannis N Petropoulos
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Nahel A Tunio
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Soha R Dargham
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Yahia Imam
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Faheem Sartaj
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Aijaz Parray
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Paula Bourke
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Rabia Khan
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Mark Santos
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Sujatha Joseph
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Ashfaq Shuaib
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.)
| | - Rayaz A Malik
- From the Department of Medicine (A.K., G.P., I.N.P., N.A.T., R.A.M.) and Biostatistics, Epidemiology, and Biomathematics Research Core (S.R.D.), Weill Cornell Medicine-Qatar, Doha; Department of Neurology, Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar (N.A., S.K., Y.I., F.S., A.P., P.B., R.K., M.S., S.J., A.S.); and Stroke Program, Department of Neurology, University of Alberta, Edmonton, Canada (A.S.).
| |
Collapse
|
31
|
Schwarz NF, Nordstrom LK, Pagen LHG, Palombo DJ, Salat DH, Milberg WP, McGlinchey RE, Leritz EC. Differential associations of metabolic risk factors on cortical thickness in metabolic syndrome. NEUROIMAGE-CLINICAL 2017; 17:98-108. [PMID: 29062686 PMCID: PMC5641920 DOI: 10.1016/j.nicl.2017.09.022] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 08/31/2017] [Accepted: 09/26/2017] [Indexed: 12/31/2022]
Abstract
Objective Metabolic syndrome (MetS) refers to a cluster of risk factors for cardiovascular disease, including obesity, hypertension, dyslipidemia, and hyperglycemia. While sizable prior literature has examined associations between individual risk factors and quantitative measures of cortical thickness (CT), only very limited research has investigated such measures in MetS. Furthermore, the relative contributions of these risk factors to MetS-related effects on brain morphology have not yet been studied. The primary goal of this investigation was to examine how MetS may affect CT. A secondary goal was to explore the relative contributions of individual risk factors to regional alterations in CT, with the potential to identify risk factor combinations that may underlie structural changes. Methods Eighteen participants with MetS (mean age = 59.78 years) were age-matched with 18 healthy control participants (mean age = 60.50 years). CT measures were generated from T1-weighted images and groups were contrasted using whole-brain general linear modeling. A follow-up multivariate partial least squares correlation (PLS) analysis, including the full study sample with complete risk factor measurements (N = 53), was employed to examine which risk factors account for variance in group structural differences. Results Participants with MetS demonstrated significantly reduced CT in left hemisphere inferior parietal, rostral middle frontal, and lateral occipital clusters and in a right hemisphere precentral cluster. The PLS analysis revealed that waist circumference, high-density lipoprotein cholesterol (HDL-C), triglycerides, and glucose were significant contributors to reduced CT in these clusters. In contrast, diastolic blood pressure showed a significantly positive association with CT while systolic blood pressure did not emerge as a significant contributor. Age was not associated with CT. Conclusion These results indicate that MetS can be associated with regionally specific reductions in CT. Importantly, a novel link between a risk factor profile comprising indices of obesity, hyperglycemia, dyslipidemia and diastolic BP and localized alterations in CT emerged. While the pathophysiological mechanisms underlying these associations remain incompletely understood, these findings may be relevant for future investigations of MetS and might have implications for treatment approaches that focus on specific risk factor profiles with the aim to reduce negative consequences on the structural integrity of the brain. Cortical thickness is reduced bilaterally in metabolic syndrome. Five out of six risk factor components contribute to altered cortical thickness. Particular risk factor combination may be an important target for intervention.
Collapse
Affiliation(s)
- Nicolette F Schwarz
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Leslie K Nordstrom
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Linda H G Pagen
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Daniela J Palombo
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Boston University School of Medicine, Boston, MA, USA
| | - David H Salat
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; The Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA
| | - William P Milberg
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Regina E McGlinchey
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Elizabeth C Leritz
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
32
|
Divergent Influences of Cardiovascular Disease Risk Factor Domains on Cognition and Gray and White Matter Morphology. Psychosom Med 2017; 79:541-548. [PMID: 28498826 PMCID: PMC5453811 DOI: 10.1097/psy.0000000000000448] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
OBJECTIVE Hypertension, diabetes, dyslipidemia, and obesity are associated with preclinical alterations in cognition and brain structure; however, this often comes from studies of comprehensive risk scores or single isolated factors. We examined associations of empirically derived cardiovascular disease risk factor domains with cognition and brain structure. METHODS A total of 124 adults (age, 59.8 [13.1] years; 41% African American; 50% women) underwent neuropsychological and cardiovascular assessments and structural magnetic resonance imaging. Principal component analysis of nine cardiovascular disease risk factors resulted in a four-component solution representing 1, cholesterol; 2, glucose dysregulation; 3, metabolic dysregulation; and 4, blood pressure. Separate linear regression models for learning, memory, executive functioning, and attention/information processing were performed, with all components entered at once, adjusting for age, sex, and education. MRI analyses included whole-brain cortical thickness and tract-based fractional anisotropy adjusted for age and sex. RESULTS Higher blood pressure was associated with poorer learning (B = -0.19; p = .019), memory (B = -0.22; p = .005), and executive functioning performance (B = -0.14; p = .031), and lower cortical thickness within the right lateral occipital lobe. Elevated glucose dysregulation was associated with poorer attention/information processing performance (B = -0.21; p = .006) and lower fractional anisotropy in the right inferior and bilateral superior longitudinal fasciculi. Cholesterol was associated with higher cortical thickness within left caudal middle frontal cortex. Metabolic dysfunction was positively associated with right superior parietal lobe, left inferior parietal lobe, and left precuneus cortical thickness. CONCLUSIONS Cardiovascular domains were associated with distinct cognitive, gray, and white matter alterations and distinct age groups. Future longitudinal studies may assist in identifying vulnerability profiles that may be most important for individuals with multiple cardiovascular disease risk factors.
Collapse
|
33
|
Power MC, Tingle JV, Reid RI, Huang J, Sharrett AR, Coresh J, Griswold M, Kantarci K, Jack CR, Knopman D, Gottesman RF, Mosley TH. Midlife and Late-Life Vascular Risk Factors and White Matter Microstructural Integrity: The Atherosclerosis Risk in Communities Neurocognitive Study. J Am Heart Assoc 2017; 6:JAHA.117.005608. [PMID: 28522676 PMCID: PMC5524102 DOI: 10.1161/jaha.117.005608] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background Diffusion tensor imaging measures of white matter (WM) microstructural integrity appear to provide earlier indication of WM injury than WM hyperintensities; however, risk factors for poor WM microstructural integrity have not been established. Our study quantifies the association between vascular risk factors in midlife and late life with measures of late‐life WM microstructural integrity. Methods and Results We used data from 1851 participants in ARIC (Atherosclerosis Risk in Communities Study) who completed 3‐T magnetic resonance imaging, including diffusion tensor imaging, as part of the ARIC Neurocognitive Study (ARIC‐NCS). We quantified the association among lipids, glucose, and blood pressure from the baseline ARIC visit (1987–1989, ages 44–65, midlife) and visit 5 of ARIC (2011–2013, ages 67–90, late life, concurrent with ARIC‐NCS) with regional and overall WM mean diffusivity and fractional anisotropy obtained at ARIC visit 5 for ARIC participants. We also considered whether these associations were independent of or modified by WM hyperintensity volumes. We found that elevated blood pressure in midlife and late life and elevated glucose in midlife, but not late life, were associated with worse late‐life WM microstructural integrity. These associations were independent of the degree of WM hyperintensity, and the association between glucose and WM microstructural integrity appeared stronger for those with the least WM hyperintensity. There was little support for an adverse association between lipids and WM microstructural integrity. Conclusions Hypertension in both midlife and late life and elevated glucose in midlife are related to worse WM microstructural integrity in late life.
Collapse
Affiliation(s)
- Melinda C Power
- Department of Epidemiology and Biostatistics, George Washington University Milken Institute School of Public Health, Washington, DC
| | - Jonathan V Tingle
- Center of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, MS
| | | | - Juebin Huang
- Department of Neurology, University of Mississippi Medical Center, Jackson, MS
| | | | - Josef Coresh
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD
| | - Michael Griswold
- Center of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, MS
| | | | | | | | - Rebecca F Gottesman
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD.,Department of Neurology, Johns Hopkins University, Baltimore, MD
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS
| |
Collapse
|
34
|
Spielberg JM, Sadeh N, Leritz EC, McGlinchey RE, Milberg WP, Hayes JP, Salat DH. Higher serum cholesterol is associated with intensified age-related neural network decoupling and cognitive decline in early- to mid-life. Hum Brain Mapp 2017; 38:3249-3261. [PMID: 28370780 DOI: 10.1002/hbm.23587] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Revised: 03/13/2017] [Accepted: 03/14/2017] [Indexed: 12/12/2022] Open
Abstract
Mounting evidence indicates that serum cholesterol and other risk factors for cardiovascular disease intensify normative trajectories of age-related cognitive decline. However, the neural mechanisms by which this occurs remain largely unknown. To understand the impact of cholesterol on brain networks, we applied graph theory to resting-state fMRI in a large sample of early- to mid-life Veterans (N = 206, Meanage = 32). A network emerged (centered on the banks of the superior temporal sulcus) that evidenced age-related decoupling (i.e., decreased network connectivity with age), but only in participants with clinically-elevated total cholesterol (≥180 mg/dL). Crucially, decoupling in this network corresponded to greater day-to-day disability and mediated age-related declines in psychomotor speed. Finally, examination of network organization revealed a pattern of age-related dedifferentiation for the banks of the superior temporal sulcus, again present only with higher cholesterol. More specifically, age was related to decreasing within-module communication (indexed by Within-Module Degree Z-Score) and increasing between-module communication (indexed by Participation Coefficient), but only in participants with clinically-elevated cholesterol. Follow-up analyses indicated that all findings were driven by low-density lipoprotein (LDL) levels, rather than high-density lipoprotein (HDL) or triglycerides, which is interesting as LDL levels have been linked to increased risk for cardiovascular disease, whereas HDL levels appear inversely related to such disease. These findings provide novel insight into the deleterious effects of cholesterol on brain health and suggest that cholesterol accelerates the impact of age on neural trajectories by disrupting connectivity in circuits implicated in integrative processes and behavioral control. Hum Brain Mapp 38:3249-3261, 2017. © 2017 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Jeffrey M Spielberg
- Department of Psychological and Brain Sciences, University of Delaware, Newark, Delaware, 19716.,Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, Massachusetts, 02130.,Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts, 02130
| | - Naomi Sadeh
- Department of Psychological and Brain Sciences, University of Delaware, Newark, Delaware, 19716.,National Center for Posttraumatic Stress Disorder, Behavioral Sciences Division, VA Boston Healthcare System, Boston, Massachusetts, 02130
| | - Elizabeth C Leritz
- Geriatric Research, Education & Clinical Center & Translational Research Center for TBI and Stress Disorders, VA Boston Healthcare System, Boston, Massachusetts, 02130.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, 02215
| | - Regina E McGlinchey
- Geriatric Research, Education & Clinical Center & Translational Research Center for TBI and Stress Disorders, VA Boston Healthcare System, Boston, Massachusetts, 02130.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, 02215
| | - William P Milberg
- Geriatric Research, Education & Clinical Center & Translational Research Center for TBI and Stress Disorders, VA Boston Healthcare System, Boston, Massachusetts, 02130.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, 02215
| | - Jasmeet P Hayes
- Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts, 02130.,National Center for Posttraumatic Stress Disorder, Behavioral Sciences Division, VA Boston Healthcare System, Boston, Massachusetts, 02130
| | - David H Salat
- Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, Massachusetts, 02130.,Geriatric Research, Education & Clinical Center & Translational Research Center for TBI and Stress Disorders, VA Boston Healthcare System, Boston, Massachusetts, 02130.,Department of Radiology, Harvard Medical School, Boston, Massachusetts, 02129
| |
Collapse
|
35
|
Mazza E, Poletti S, Bollettini I, Locatelli C, Falini A, Colombo C, Benedetti F. Body mass index associates with white matter microstructure in bipolar depression. Bipolar Disord 2017; 19:116-127. [PMID: 28418197 DOI: 10.1111/bdi.12484] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Revised: 03/06/2017] [Accepted: 03/12/2017] [Indexed: 12/25/2022]
Abstract
OBJECTIVES Obesity has been reported in over 60% of bipolar disorder (BD) patients. It worsens the severity of illness, and influences cognition and functional outcomes. White matter (WM) abnormalities are one of the most consistently reported findings in neuroimaging studies of BD. We hypothesized that body mass index (BMI) could correlate with WM integrity in bipolar patients. METHODS We evaluated BMI in a sample of 164 depressed patients affected by BD. We performed whole-brain tract-based spatial statistics with threshold-free cluster enhancement for the diffusion tensor imaging (DTI) measures of WM integrity: fractional anisotropy; axial, radial, and mean diffusivity. RESULTS We observed that BMI was associated with DTI measures of WM integrity in several fiber tracts: anterior corona radiata, anterior thalamic radiation, inferior fronto-occipital fasciculus and corpus callosum. CONCLUSIONS The association of BMI in key WM tracts that are crucial to mood regulation and neurocognitive functioning suggests that BMI might contribute to the pathophysiology of BD through a detrimental action on structural connectivity in critical cortico-limbic networks.
Collapse
Affiliation(s)
- Elena Mazza
- Department of Clinical Neurosciences, Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Sara Poletti
- Department of Clinical Neurosciences, Scientific Institute Ospedale San Raffaele, Milan, Italy.,C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), University Vita-Salute San Raffaele, Milan, Italy
| | - Irene Bollettini
- Department of Clinical Neurosciences, Scientific Institute Ospedale San Raffaele, Milan, Italy.,C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), University Vita-Salute San Raffaele, Milan, Italy
| | - Clara Locatelli
- Department of Clinical Neurosciences, Scientific Institute Ospedale San Raffaele, Milan, Italy.,C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), University Vita-Salute San Raffaele, Milan, Italy
| | - Andrea Falini
- C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), University Vita-Salute San Raffaele, Milan, Italy.,Department of Neuroradiology, Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Cristina Colombo
- Department of Clinical Neurosciences, Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Francesco Benedetti
- Department of Clinical Neurosciences, Scientific Institute Ospedale San Raffaele, Milan, Italy.,C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), University Vita-Salute San Raffaele, Milan, Italy
| |
Collapse
|
36
|
Qian C, Tan F. Ratio of apoB/LDL: a potential clinical index for vascular cognitive impairment. BMC Neurol 2016; 16:243. [PMID: 27887584 PMCID: PMC5123286 DOI: 10.1186/s12883-016-0766-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Accepted: 11/17/2016] [Indexed: 12/04/2022] Open
Abstract
Background Vascular cognitive impairment (VCI), compared to vascular dementia (VD), has a broader definition and highlights the effect of vascular disease in dementia, and stroke seems play an important role in the development of VCI. However, not all patients with brain infarcts suffer from VCI; unique risk factors appear to cause such progression. This study aimed to find potential risk factors of vascular cognitive impairment among patients with brain infarcts. Methods Thirty-seven dementia patients and 74 brain infarction patients were included; all had infarcts in both basilar ganglia. The frequencies of risk factors, such as age, hypertension, and hyperlipidemia, were compared between the two groups. Results The incident rate of hyperlipidemia in the patients with dementia was 35.14%, which was significantly lower than that in the patients with infarction (59.46%, P = 0.015). In the dementia group, there was a positive correlation between the ratio of apoprotein B (apoB)/low density lipoprotein (LDL) and the Mini Mental State Examination (MMSE) score (R = 0.411, P = 0.011). Conclusion Our study indicated that the ratio of apoB/LDL may be a potential clinical index for vascular cognitive impairment. Electronic supplementary material The online version of this article (doi:10.1186/s12883-016-0766-1) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Cheng Qian
- Department of Neurology, Shengjing hospital of China Medical University, NO.53 Huangxiang Road, Shenyang, China
| | - Fei Tan
- Department of Neurology, Shengjing hospital of China Medical University, NO.53 Huangxiang Road, Shenyang, China.
| |
Collapse
|
37
|
Gonzalez CE, Venkatraman VK, An Y, Landman BA, Davatzikos C, Ratnam Bandaru VV, Haughey NJ, Ferrucci L, Mielke MM, Resnick SM. Peripheral sphingolipids are associated with variation in white matter microstructure in older adults. Neurobiol Aging 2016; 43:156-63. [PMID: 27255825 DOI: 10.1016/j.neurobiolaging.2016.04.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Revised: 04/01/2016] [Accepted: 04/12/2016] [Indexed: 12/29/2022]
Abstract
Sphingolipids serve important structural and functional roles in cellular membranes and myelin sheaths. Plasma sphingolipids have been shown to predict cognitive decline and Alzheimer's disease. However, the association between plasma sphingolipid levels and brain white matter (WM) microstructure has not been examined. We investigated whether plasma sphingolipids (ceramides and sphingomyelins) were associated with magnetic resonance imaging-based diffusion measures, fractional anisotropy (FA), and mean diffusivity, 10.5 years later in 17 WM regions of 150 cognitively normal adults (mean age 67.2). Elevated ceramide species (C20:0, C22:0, C22:1, and C24:1) were associated with lower FA in multiple WM regions, including total cerebral WM, anterior corona radiata, and the cingulum of the cingulate gyrus. Higher sphingomyelins (C18:1 and C20:1) were associated with lower FA in regions such as the anterior corona radiata and body of the corpus callosum. Furthermore, lower sphingomyelin to ceramide ratios (C22:0, C24:0, and C24:1) were associated with lower FA or higher mean diffusivity in regions including the superior and posterior corona radiata. However, although these associations were significant at the a priori p < 0.05, only associations with some regional diffusion measures for ceramide C22:0 and sphingomyelin C18:1 survived correction for multiple comparisons. These findings suggest plasma sphingolipids are associated with variation in WM microstructure in cognitively normal aging.
Collapse
Affiliation(s)
- Christopher E Gonzalez
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Vijay K Venkatraman
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Bennett A Landman
- Institute of Imaging Science and Department of Electrical Engineering, Vanderbilt University, Nashville, TN, USA
| | | | | | - Norman J Haughey
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Luigi Ferrucci
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Michelle M Mielke
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA; Department of Neurology, Mayo Clinic, Rochester, MN, USA.
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| |
Collapse
|
38
|
Konukoglu E, Coutu JP, Salat DH, Fischl B. Multivariate statistical analysis of diffusion imaging parameters using partial least squares: Application to white matter variations in Alzheimer's disease. Neuroimage 2016; 134:573-586. [PMID: 27103138 DOI: 10.1016/j.neuroimage.2016.04.038] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2015] [Revised: 03/26/2016] [Accepted: 04/15/2016] [Indexed: 11/25/2022] Open
Abstract
Diffusion magnetic resonance imaging (dMRI) is a unique technology that allows the noninvasive quantification of microstructural tissue properties of the human brain in healthy subjects as well as the probing of disease-induced variations. Population studies of dMRI data have been essential in identifying pathological structural changes in various conditions, such as Alzheimer's and Huntington's diseases (Salat et al., 2010; Rosas et al., 2006). The most common form of dMRI involves fitting a tensor to the underlying imaging data (known as diffusion tensor imaging, or DTI), then deriving parametric maps, each quantifying a different aspect of the underlying microstructure, e.g. fractional anisotropy and mean diffusivity. To date, the statistical methods utilized in most DTI population studies either analyzed only one such map or analyzed several of them, each in isolation. However, it is most likely that variations in the microstructure due to pathology or normal variability would affect several parameters simultaneously, with differing variations modulating the various parameters to differing degrees. Therefore, joint analysis of the available diffusion maps can be more powerful in characterizing histopathology and distinguishing between conditions than the widely used univariate analysis. In this article, we propose a multivariate approach for statistical analysis of diffusion parameters that uses partial least squares correlation (PLSC) analysis and permutation testing as building blocks in a voxel-wise fashion. Stemming from the common formulation, we present three different multivariate procedures for group analysis, regressing-out nuisance parameters and comparing effects of different conditions. We used the proposed procedures to study the effects of non-demented aging, Alzheimer's disease and mild cognitive impairment on the white matter. Here, we present results demonstrating that the proposed PLSC-based approach can differentiate between effects of different conditions in the same region as well as uncover spatial variations of effects across the white matter. The proposed procedures were able to answer questions on structural variations such as: "are there regions in the white matter where Alzheimer's disease has a different effect than aging or similar effect as aging?" and "are there regions in the white matter that are affected by both mild cognitive impairment and Alzheimer's disease but with differing multivariate effects?"
Collapse
Affiliation(s)
- Ender Konukoglu
- MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
| | - Jean-Philippe Coutu
- MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - David H Salat
- MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, MA, USA
| | - Bruce Fischl
- MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Computer Science and Artificial Intelligence Laboratory, MIT, USA
| | | |
Collapse
|
39
|
Leritz EC, McGlinchey RE, Salat DH, Milberg WP. Elevated levels of serum cholesterol are associated with better performance on tasks of episodic memory. Metab Brain Dis 2016; 31:465-73. [PMID: 26873100 PMCID: PMC4913474 DOI: 10.1007/s11011-016-9797-y] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Accepted: 01/18/2016] [Indexed: 01/14/2023]
Abstract
We examined how serum cholesterol, an established risk factor for cerebrovascular disease (CVD), relates to cognitive function in healthy middle-older aged individuals with no neurologic or CVD history. A complete lipid panel was obtained from a cohort of one hundred twenty individuals, ages 43-85, who also underwent a comprehensive neuropsychological examination. In order to reduce the number of variables and empirically identify broad cognitive domains, scores from neuropsychological tests were submitted into a factor analysis. This analysis revealed three explainable factors: Memory, Executive Function and Memory/Language. Three separate hierarchical multiple regression analyses were conducted using individual cholesterol metrics (total cholesterol, low density lipoprotein; LDL, high density lipoprotein; HDL, and triglycerides), as well as age, education, medication status (lipid lowering agents), ApoE status, and additional risk factors for CVD to predict neuropsychological function. The Memory Factor was predicted by a combination of age, LDL, and triglyceride levels; both age and triglycerides were negatively associated with factor score, while LDL levels revealed a positive relationship. Both the Executive and Memory/Language factor were only explained by education, whereby more years were associated with better performance. These results provide evidence that individual cholesterol lipoproteins and triglycerides may differentially impact cognitive function, over and above other common CVD risk factors and ApoE status. Our findings demonstrate the importance of consideration of vascular risk factors, such as cholesterol, in studies of cognitive aging.
Collapse
Affiliation(s)
- Elizabeth C Leritz
- Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA.
- Neuroimaging Research for Veterans Center (NERVE), VA Boston Healthcare System, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Regina E McGlinchey
- Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA
- Neuroimaging Research for Veterans Center (NERVE), VA Boston Healthcare System, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - David H Salat
- Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA
- Neuroimaging Research for Veterans Center (NERVE), VA Boston Healthcare System, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - William P Milberg
- Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA
- Neuroimaging Research for Veterans Center (NERVE), VA Boston Healthcare System, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| |
Collapse
|
40
|
Zhang T, Li H, Zhang J, Li X, Qi D, Wang N, Zhang Z. Impacts of High Serum Total Cholesterol Level on Brain Functional Connectivity in Non-Demented Elderly. J Alzheimers Dis 2015; 50:455-63. [DOI: 10.3233/jad-150810] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Ting Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - He Li
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, P.R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Junying Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Xin Li
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Di Qi
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Nuo Wang
- School of Economics and Resource Management, Beijing Normal University, Beijing, P. R. China
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| |
Collapse
|
41
|
Jolly TAD, Cooper PS, Wan Ahmadul Badwi SA, Phillips NA, Rennie JL, Levi CR, Drysdale KA, Parsons MW, Michie PT, Karayanidis F. Microstructural white matter changes mediate age-related cognitive decline on the Montreal Cognitive Assessment (MoCA). Psychophysiology 2015; 53:258-67. [DOI: 10.1111/psyp.12565] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2015] [Accepted: 09/10/2015] [Indexed: 12/12/2022]
Affiliation(s)
- Todd A. D. Jolly
- Functional Neuroimaging Laboratory, School of Psychology, Faculty of Science & IT; University of Newcastle; Newcastle Australia
- Centre for Brain and Mental Health Research; University of Newcastle; Newcastle Australia
- Hunter Medical Research Institute; Newcastle Australia
| | - Patrick S. Cooper
- Functional Neuroimaging Laboratory, School of Psychology, Faculty of Science & IT; University of Newcastle; Newcastle Australia
- Centre for Brain and Mental Health Research; University of Newcastle; Newcastle Australia
- Hunter Medical Research Institute; Newcastle Australia
| | - Syarifah Azizah Wan Ahmadul Badwi
- Functional Neuroimaging Laboratory, School of Psychology, Faculty of Science & IT; University of Newcastle; Newcastle Australia
- Department of Psychology, Kulliyyah of IRKHS; International Islamic University Malaysia; Kuala Lumpur Malaysia
| | - Natalie A. Phillips
- Centre for Research in Human Development, Department of Psychology; Concordia University; Montreal Quebec Canada
- Lady Davis Institute for Medical Research; Jewish General Hospital; Montreal Quebec Canada
| | - Jaime L. Rennie
- Functional Neuroimaging Laboratory, School of Psychology, Faculty of Science & IT; University of Newcastle; Newcastle Australia
- Centre for Brain and Mental Health Research; University of Newcastle; Newcastle Australia
- Hunter Medical Research Institute; Newcastle Australia
| | - Christopher R. Levi
- Centre for Brain and Mental Health Research; University of Newcastle; Newcastle Australia
- Hunter Medical Research Institute; Newcastle Australia
- School of Medicine and Public Health, Faculty of Health and Medicine; University of Newcastle; Newcastle Australia
| | - Karen A. Drysdale
- Functional Neuroimaging Laboratory, School of Psychology, Faculty of Science & IT; University of Newcastle; Newcastle Australia
- Centre for Brain and Mental Health Research; University of Newcastle; Newcastle Australia
- Hunter Medical Research Institute; Newcastle Australia
| | - Mark W. Parsons
- Centre for Brain and Mental Health Research; University of Newcastle; Newcastle Australia
- Hunter Medical Research Institute; Newcastle Australia
- School of Medicine and Public Health, Faculty of Health and Medicine; University of Newcastle; Newcastle Australia
| | - Patricia T. Michie
- Functional Neuroimaging Laboratory, School of Psychology, Faculty of Science & IT; University of Newcastle; Newcastle Australia
- Centre for Brain and Mental Health Research; University of Newcastle; Newcastle Australia
- Hunter Medical Research Institute; Newcastle Australia
| | - Frini Karayanidis
- Functional Neuroimaging Laboratory, School of Psychology, Faculty of Science & IT; University of Newcastle; Newcastle Australia
- Centre for Brain and Mental Health Research; University of Newcastle; Newcastle Australia
- Hunter Medical Research Institute; Newcastle Australia
| |
Collapse
|
42
|
Friedman JI, Tang CY, de Haas HJ, Changchien L, Goliasch G, Dabas P, Wang V, Fayad ZA, Fuster V, Narula J. Brain imaging changes associated with risk factors for cardiovascular and cerebrovascular disease in asymptomatic patients. JACC Cardiovasc Imaging 2015; 7:1039-53. [PMID: 25323165 DOI: 10.1016/j.jcmg.2014.06.014] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2014] [Revised: 06/09/2014] [Accepted: 06/10/2014] [Indexed: 11/27/2022]
Abstract
Reviews of imaging studies assessing the brain effects of vascular risk factors typically include a substantial number of studies with subjects with a history of symptomatic cardiovascular or cerebrovascular disease and/or events, limiting our ability to disentangle the primary brain effects of vascular risk factors from those of resulting brain and cardiac damage. The objective of this study was to perform a systematic review of brain changes from imaging studies in patients with vascular risk factors but without clinically manifest cardiovascular or cerebrovascular disease or events. The 77 studies included in this review demonstrate that in persons without symptomatic cardiovascular, cerebrovascular, or peripheral vascular disease, the vascular risk factors of hypertension, diabetes mellitus, obesity, hyperlipidemia, and smoking are all independently associated with brain imaging changes before the clinical manifestation of cardiovascular or cerebrovascular disease. We conclude that the identification of brain changes associated with vascular risk factors, before the manifestation of clinically significant cerebrovascular damage, presents a window of opportunity wherein adequate treatment of these modifiable vascular risk factors may prevent the development of irreversible deleterious brain changes and potentially alter patients' clinical course.
Collapse
Affiliation(s)
- Joseph I Friedman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; Clinical Neuroscience Center, Pilgrim Psychiatric Center, West Brentwood, New York.
| | - Cheuk Y Tang
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Hans J de Haas
- Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai School of Medicine, New York, New York
| | - Lisa Changchien
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Clinical Neuroscience Center, Pilgrim Psychiatric Center, West Brentwood, New York
| | - Georg Goliasch
- Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai School of Medicine, New York, New York
| | - Puneet Dabas
- Clinical Neuroscience Center, Pilgrim Psychiatric Center, West Brentwood, New York
| | - Victoria Wang
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Zahi A Fayad
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Cardiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Valentin Fuster
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Cardiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jagat Narula
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Cardiology, Icahn School of Medicine at Mount Sinai, New York, New York
| |
Collapse
|
43
|
Bender AR, Raz N. Normal-appearing cerebral white matter in healthy adults: mean change over 2 years and individual differences in change. Neurobiol Aging 2015; 36:1834-48. [PMID: 25771392 DOI: 10.1016/j.neurobiolaging.2015.02.001] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2014] [Revised: 02/02/2015] [Accepted: 02/04/2015] [Indexed: 12/20/2022]
Abstract
Diffusion tensor imaging studies show age-related differences in cerebral white matter (WM). However, few have studied WM changes over time, and none evaluated individual differences in change across a wide age range. Here, we examined 2-year WM change in 96 healthy adults (baseline age, 19-78 years), individual differences in change, and the influence of vascular and metabolic risk thereon. Fractional anisotropy (FA), axial diffusivity, and radial diffusivity (RD) represented microstructural properties of normal-appearing WM within 13 regions. Cross-sectional analyses revealed age-related differences in all WM indices across the regions. In contrast, latent change score analyses showed longitudinal declines in axial diffusivity in association and projection fibers and increases in anterior commissural fibers. FA and RD evidenced a less consistent pattern of change. Metabolic risk mediated the effects of age on FA and RD change in corpus callosum body and dorsal cingulum. These findings underscore the importance of longitudinal studies in evaluating individual differences in change and the role of metabolic factors in shaping trajectories of brain aging.
Collapse
Affiliation(s)
- Andrew R Bender
- Institute of Gerontology, Wayne State University, Detroit, MI, USA.
| | - Naftali Raz
- Institute of Gerontology, Wayne State University, Detroit, MI, USA; Department of Psychology, Wayne State University, Detroit, MI, USA
| |
Collapse
|
44
|
Kanchibhotla SC, Mather KA, Thalamuthu A, Zhuang L, Schofield PR, Kwok JBJ, Ames D, Wright MJ, Trollor JN, Wen W, Sachdev PS. Genetics of microstructure of the corpus callosum in older adults. PLoS One 2014; 9:e113181. [PMID: 25514436 PMCID: PMC4267776 DOI: 10.1371/journal.pone.0113181] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Accepted: 10/21/2014] [Indexed: 02/02/2023] Open
Abstract
The current study sought to examine the relative influence of genetic and environmental factors on corpus callosum (CC) microstructure in a community sample of older adult twins. Analyses were undertaken in 284 healthy older twins (66% female; 79 MZ and 63 DZ pairs) from the Older Australian Twins Study. The average age of the sample was 69.82 (SD = 4.76) years. Brain imaging scans were collected and DTI measures were estimated for the whole CC as well as its five subregions. Parcellation of the CC was performed using Analyze. In addition, white matter lesion (WMLs) burden was estimated. Heritability and genetic correlation analyses were undertaken using the SOLAR software package. Age, sex, scanner, handedness and blood pressure were considered as covariates. Heritability (h2) analysis for the DTI metrics of whole CC, indicated significant h2 for fractional anisotropy (FA) (h2 = 0.56; p = 2.89×10−10), mean diffusivity (MD) (h2 = 0.52; p = 0.30×10−6), radial diffusivity (RD) (h2 = 0.49; p = 0.2×10−6) and axial diffusivity (AD) (h2 = 0.37; p = 8.15×10−5). We also performed bivariate genetic correlation analyses between (i) whole CC DTI measures and (ii) whole CC DTI measures with total brain WML burden. Across the DTI measures for the whole CC, MD and RD shared 84% of the common genetic variance, followed by MD- AD (77%), FA - RD (52%), RD - AD (37%) and FA – MD (11%). For total WMLs, significant genetic correlations indicated that there was 19% shared common genetic variance with whole CC MD, followed by CC RD (17%), CC AD (16%) and CC FA (5%). Our findings suggest that the CC microstructure is under moderate genetic control. There was also evidence of shared genetic factors between the CC DTI measures. In contrast, there was less shared genetic variance between WMLs and the CC DTI metrics, suggesting fewer common genetic variants.
Collapse
Affiliation(s)
- Sri C. Kanchibhotla
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Karen A. Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Lin Zhuang
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Peter R. Schofield
- Neuroscience Research Australia, Sydney, Australia
- School of Medical Science, University of New South Wales, Sydney, Australia
| | - John B. J. Kwok
- Neuroscience Research Australia, Sydney, Australia
- School of Medical Science, University of New South Wales, Sydney, Australia
| | - David Ames
- National Ageing Research Institute, Royal Melbourne Hospital, Melbourne, Australia
- Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne, Australia
| | - Margaret J. Wright
- Queensland Institute Medical Research, Berghofer Medical Research Institute, Brisbane, Australia
| | - Julian N. Trollor
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Department Developmental Disability Neuropsychiatry, University of New South Wales, Sydney, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, Australia
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, Australia
- * E-mail:
| |
Collapse
|
45
|
Cerebral and blood correlates of reduced functional connectivity in mild cognitive impairment. Brain Struct Funct 2014; 221:631-45. [PMID: 25366971 DOI: 10.1007/s00429-014-0930-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2014] [Accepted: 10/23/2014] [Indexed: 12/15/2022]
Abstract
Growing evidence suggests that decreased functional connectivity in cortical networks precedes clinical stages of Alzheimer's disease (AD), although our knowledge about cerebral and biological correlates of this phenomenon is limited. To shed light on this issue, we have investigated whether resting-state oscillatory connectivity patterns in healthy older (HO) and amnestic mild cognitive impairment (aMCI) subjects are related to anatomical grey matter (GM) and functional (2-[18F]fluoro-2-deoxy-D-glucose (FDG)-PET) changes of neuroelectric sources of alpha rhythms, and/or to changes in plasma amyloid-beta (Aβ) and serum lipid levels, blood markers tied to AD pathogenesis and aging-related cognitive decline. We found that aMCI subjects showed decreased levels of cortical connectivity, reduced FDG-PET intake of the precuneus, and GM atrophy of the thalamus, together with higher levels of Aβ and apolipoprotein B (ApoB) compared to HO. Interestingly, levels of high-density lipoprotein (HDL) cholesterol were positively correlated with the strength of neural-phase coupling in aMCI subjects, and increased triglycerides accompanied bilateral GM loss in the precuneus of aMCI subjects. Together, these findings provide peripheral blood correlates of reduced resting-state cortical connectivity in aMCI, supported by anatomo-functional changes in cerebral sources of alpha rhythms. This framework constitutes an integrated approach to assess functional changes in cortical networks through neuroimaging and peripheral blood markers during early stages of neurodegeneration.
Collapse
|
46
|
Serum cholesterol and variant in cholesterol-related gene CETP predict white matter microstructure. Neurobiol Aging 2014; 35:2504-2513. [PMID: 24997672 DOI: 10.1016/j.neurobiolaging.2014.05.024] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2013] [Revised: 05/21/2014] [Accepted: 05/26/2014] [Indexed: 11/23/2022]
Abstract
Several common genetic variants influence cholesterol levels, which play a key role in overall health. Myelin synthesis and maintenance are highly sensitive to cholesterol concentrations, and abnormal cholesterol levels increase the risk for various brain diseases, including Alzheimer's disease. We report significant associations between higher serum cholesterol (CHOL) and high-density lipoprotein levels and higher fractional anisotropy in 403 young adults (23.8 ± 2.4 years) scanned with diffusion imaging and anatomic magnetic resonance imaging at 4 Tesla. By fitting a multi-locus genetic model within white matter areas associated with CHOL, we found that a set of 18 cholesterol-related, single-nucleotide polymorphisms implicated in Alzheimer's disease risk predicted fractional anisotropy. We focused on the single-nucleotide polymorphism with the largest individual effects, CETP (rs5882), and found that increased G-allele dosage was associated with higher fractional anisotropy and lower radial and mean diffusivities in voxel-wise analyses of the whole brain. A follow-up analysis detected white matter associations with rs5882 in the opposite direction in 78 older individuals (74.3 ± 7.3 years). Cholesterol levels may influence white matter integrity, and cholesterol-related genes may exert age-dependent effects on the brain.
Collapse
|
47
|
Foley JM, Salat DH, Stricker NH, Zink TA, Grande LJ, McGlinchey RE, Milberg WP, Leritz EC. Interactive effects of apolipoprotein E4 and diabetes risk on later myelinating white matter regions in neurologically healthy older aged adults. Am J Alzheimers Dis Other Demen 2014; 29:222-35. [PMID: 24381137 PMCID: PMC4356251 DOI: 10.1177/1533317513517045] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Possession of the apolipoprotein E4 (APOE4) allele and diabetes risk are independently related to reduced white matter (WM) integrity that may contribute to the development of Alzheimer's disease (AD). The purpose of this study is to examine the interactive effects of APOE4 and diabetes risk on later myelinating WM regions among healthy elderly individuals at risk of AD. A sample of 107 healthy elderly (80 APOE4-/27 APOE4+) individuals underwent structural magnetic resonance imaging/diffusion tensor imaging (DTI). Data were prepared using Tract-Based Spatial Statistics, and a priori regions of interest (ROIs) were extracted from T1-based WM parcellations. Regions of interest included later myelinating frontal/temporal/parietal WM regions and control regions measured by fractional anisotropy (FA). There were no APOE group differences in DTI for any ROI. Within the APOE4 group, we found negative relationships between hemoglobin A1c/fasting glucose and APOE4 on FA for all later myelinating WM regions but not for early/middle myelinating control regions. Results also showed APOE4/diabetes risk interactions for WM underlying supramarginal, superior temporal, precuneus, superior parietal, and superior frontal regions. Results suggest interactive effects of APOE4 and diabetes risk on later myelinating WM regions, which supports preclinical detection of AD among this particularly susceptible subgroup.
Collapse
Affiliation(s)
- Jessica M. Foley
- Psychology Service, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - David H. Salat
- Psychology Service, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
| | - Nikki H. Stricker
- Psychology Service, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Tyler A. Zink
- Psychology Service, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Laura J. Grande
- Psychology Service, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Regina E. McGlinchey
- Psychology Service, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - William P. Milberg
- Psychology Service, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Elizabeth C. Leritz
- Psychology Service, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
- Division of Aging, Brigham & Women’s Hospital, Boston, MA, USA
| |
Collapse
|
48
|
Szeszko PR, Robinson DG, Ikuta T, Peters BD, Gallego JA, Kane J, Malhotra AK. White matter changes associated with antipsychotic treatment in first-episode psychosis. Neuropsychopharmacology 2014; 39:1324-31. [PMID: 24549105 PMCID: PMC3988536 DOI: 10.1038/npp.2013.288] [Citation(s) in RCA: 93] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2013] [Revised: 08/27/2013] [Accepted: 09/13/2013] [Indexed: 11/09/2022]
Abstract
Second-generation antipsychotics are utilized extensively in the treatment of psychotic disorders and other psychiatric conditions, but the effects of these medications on human brain white matter are not well understood. We thus investigated the effects of second-generation antipsychotics on white matter integrity using tract-based spatial statistics in patients experiencing a first episode of psychosis with little or no prior antipsychotic exposure, and how potential changes were associated with metabolic side effects. Thirty-five (26 men/9 women) patients experiencing a first episode of psychosis received diffusion tensor imaging (DTI) exams, clinical assessments, and provided fasting blood samples at the onset of antipsychotic treatment, and then again after 12 weeks of treatment with either risperidone or aripiprazole in a double-blind randomized clinical trial. In addition, 35 (26 men/9 women) healthy volunteers received DTI exams at a baseline time point and then after 12 weeks. Patients demonstrated significant (p<0.05; family-wise error corrected) fractional anisotropy reductions within the parietal and occipital white matter following antipsychotic treatment. Greater overall fractional anisotropy reduction was significantly correlated with greater increases in low-density lipoprotein. There were no significant fractional anisotropy increases among patients following treatment. Moreover, healthy volunteers did not demonstrate either significant increases or decreases in fractional anisotropy across a comparable 12-week interval. The use of antipsychotics may be associated with a subtle loss of white matter integrity that is related to greater side effects, thus raising potentially important considerations regarding risk/benefit in their usage. Limitations of the current study, however, include a prior history of substance use among patients and our inability to exclude the possibility of disease progression.
Collapse
Affiliation(s)
- Philip R Szeszko
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, University, MS, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA. Tel: +1 718 470 8489; Fax: +1 718 343 1659; E-mail:
| | - Delbert G Robinson
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, University, MS, USA
| | - Toshikazu Ikuta
- Departments of Psychiatry and Molecular Medicine, Hofstra North Shore—LIJ School of Medicine, Hempstead, NY, USA
| | - Bart D Peters
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA
| | - Juan A Gallego
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, University, MS, USA
| | - John Kane
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, University, MS, USA
| | - Anil K Malhotra
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, University, MS, USA
| |
Collapse
|
49
|
Ugwu ID, Amico F, Carballedo A, Fagan AJ, Frodl T. Childhood adversity, depression, age and gender effects on white matter microstructure: a DTI study. Brain Struct Funct 2014; 220:1997-2009. [PMID: 24744150 DOI: 10.1007/s00429-014-0769-x] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2013] [Accepted: 04/01/2014] [Indexed: 11/26/2022]
Abstract
Previous diffusion tensor imaging (DTI) studies have shown that various factors can affect white matter (WM) tract diffusivity. The aim of the present study was to investigate the effects of childhood adversity (CA), age and gender on WM diffusivity in tracts that are thought to be involved in emotional regulation in individuals with major depressive disorder (MDD) and healthy controls (HC). DTI was obtained from 46 subjects with MDD and 46 HC subjects. Data were pre-processed and deterministic tractography was applied in the cingulum, uncinate fasciculus (UF), fornix, superior longitudinal fasciculus (SLF) and fronto-occipital fasciculus (FOF). In subjects with a history of CA, fractional anisotropy (FA) was greater in the rostral cingulum (RC) and dorsal cingulum, whereas radial diffusivity (RD) was smaller in the RC when compared with subjects with no history of CA. In the UF, FOF and parahippocampal cingulum, FA was greater in the left hemisphere in the subjects with CA when compared with those without CA. Age affected FA, longitudinal diffusivity and RD in the UF, fornix, FOF and SLF, reflecting axonal and myelin degeneration with increasing age. Depression or gender did not have any effects on the diffusivity measures. Due to the cross-sectional nature of the study, a recall bias for CA and possible effects of medical treatment on diffusivity measures could have played a role. CA and age could increase the likelihood to develop WM microstructural anomalies in the brain affective network. Moreover, subjects with CA could be more vulnerable to FA changes.
Collapse
Affiliation(s)
- Izuchukwu D Ugwu
- Adelaide and Meath Hospital Incorporating the National Children's Hospital, Tallaght, Dublin 24, Dublin, Ireland
| | | | | | | | | |
Collapse
|
50
|
White matter disease as a biomarker for long-term cerebrovascular disease and dementia. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2014; 16:292. [PMID: 24496967 DOI: 10.1007/s11936-013-0292-z] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
OPINION STATEMENT White matter disease is commonly detected on brain MRI of aging individuals as white matter hyperintensities (WMH), or 'leukoaraiosis." Over the years, it has become increasingly clear that the presence and extent of WMH is a radiographic marker of small cerebral vessel disease and an important predictor of the lifelong risk of stroke, cognitive impairment, and functional disability. A number of large population-based studies have outlined the significance of WMH as a biomarker for long-term cerebrovascular disease and dementia. In this review, we describe the conceptual framework and methodology that support this association and link the existing knowledge to future lines of investigation in the field.
Collapse
|