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Kolasa M, Arponen O, Kaartinen I, Saarinen E, Solje E, Hirvonen J, Vuorlaakso M. Correlation of cerebral small vessel disease burden with outcome after lower extremity amputation. J Diabetes Complications 2024; 38:108829. [PMID: 39059188 DOI: 10.1016/j.jdiacomp.2024.108829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 07/21/2024] [Accepted: 07/23/2024] [Indexed: 07/28/2024]
Abstract
AIMS This study assessed whether changes associated with cerebral small vessel disease (CSVD) evaluated from head computed tomography (CT) images captured for non-related clinical purposes predict overall survival (OS), leg salvage (LS), and amputation-free survival (AFS) after lower extremity amputation (LEA). METHODS We retrospectively included a cohort of 240 patients who had undergone a lower extremity amputation in Tampere University Hospital between the years 2007 and 2020 and had a head CT scan (within one year before amputation). A neuroradiologist graded the white matter lesions (WMLs) and reported infarcts, and the latter's effects on OS, LS, and AFS were evaluated. RESULTS Altogether, 162 (67.5 %) and 91 (38.1 %) patients had WMLs and infarcts, respectively. Mild/moderate (HR 1.985, CI 95 % 1.317-2.992) and severe (HR 2.259, CI 95 % 1.501-3.399) WMLs and infarcts (HR 1.413, CI 95 % 1.029-1.940) were associated with inferior OS. After a minor amputation, mild/moderate (HR 2.012, CI 95 % 1.054-3.843) and severe (HR 3.879, CI 95 % 2.096-7.180) WMLs were similarly associated with inferior AFS. CONCLUSIONS Overall, WML and infarcts detected on head CT scans were associated with impaired OS after LEA and AFS after minor LEA. Evaluation of CSVD could provide useful prognostic information for clinicians.
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Affiliation(s)
- Marcin Kolasa
- Department of Radiology, Tampere University Hospital, Tampere, Finland; Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland
| | - Otso Arponen
- Department of Radiology, Tampere University Hospital, Tampere, Finland; Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland; Institute of Clinical Medicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ilkka Kaartinen
- Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland; Department of Musculoskeletal Surgery and Diseases, Tampere University Hospital, Tampere, Finland
| | - Eva Saarinen
- Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland; Centre for Vascular Surgery and Interventional Radiology, Tampere University Hospital, Tampere, Finland
| | - Eino Solje
- Neuro Center - Neurology, Kuopio University Hospital, Kuopio, Finland; Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Jussi Hirvonen
- Department of Radiology, Tampere University Hospital, Tampere, Finland; Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland
| | - Miska Vuorlaakso
- Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland; Department of Musculoskeletal Surgery and Diseases, Tampere University Hospital, Tampere, Finland.
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Martirosian RA, Wiedner CD, Sanchez J, Mun KT, Marla K, Teran C, Thirion M, Liebeskind DS, McGrath ER, Zucker JM, Bernal R, Beiser AS, DeCarli C, Himali JJ, Seshadri S, Hinman JD. Association of Incident Stroke Risk With an IL-18-Centered Inflammatory Network Biomarker Composite. Stroke 2024; 55:1601-1608. [PMID: 38690658 DOI: 10.1161/strokeaha.123.044719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 03/20/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND A coordinated network of circulating inflammatory molecules centered on the pleotropic pro-atherogenic cytokine interleukin-18 (IL-18) is linked to cerebral small vessel disease. We sought to validate the association of this inflammatory biomarker network with incident stroke risk, cognitive impairment, and imaging metrics in a sample of the Framingham Offspring Cohort. METHODS Using available baseline measurements of serum levels of IL-18, GDF (growth and differentiation factor)-15, soluble form of receptor for advanced glycation end products, myeloperoxidase, and MCP-1 (monocyte chemoattractant protein-1) from Exam 7 of the Framingham Offspring Cohort (1998-2001), we constructed a population-normalized, equally weighted log-transformed mean Z-score value representing the average level of each serum analyte to create an inflammatory composite score (ICS5). Multivariable regression models were used to determine the association of ICS5 with incident stroke, brain magnetic resonance imaging features, and cognitive testing performance. RESULTS We found a significant association between ICS5 score and increased risk for incident all-cause stroke (hazard ratio, 1.48 [95% CI, 1.05-2.08]; P=0.024) and ischemic stroke (hazard ratio, 1.51 [95% CI, 1.03-2.21]; P=0.033) in the Exam 7 cohort of 2201 subjects (mean age 62±9 years; 54% female) aged 45+ years with an all-cause incident stroke rate of 6.1% (135/2201) and ischemic stroke rate of 4.9% (108/2201). ICS5 and its component serum markers are all associated with the Framingham Stroke Risk Profile score (β±SE, 0.19±0.02; P<0.0001). In addition, we found a significant inverse association of ICS5 with a global cognitive score, derived from a principal components analysis of the neuropsychological battery used in the Framingham cohort (-0.08±0.03; P=0.019). No association of ICS5 with magnetic resonance imaging metrics of cerebral small vessel disease was observed. CONCLUSIONS Circulating serum levels of inflammatory biomarkers centered on IL-18 are associated with an increased risk of stroke and cognitive impairment in the Framingham Offspring Cohort. Linking specific inflammatory pathways to cerebral small vessel disease may enhance individualized quantitative risk assessment for future stroke and vascular cognitive impairment.
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Affiliation(s)
- Richard A Martirosian
- David Geffen School of Medicine, University of California Los Angeles (R.A.M., J.S., K.T.M., K.M., C.T., M.T., D.S.L., J.D.H.)
| | - Crystal D Wiedner
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.D.W., R.B., J.J.H., S.S.), University of Texas Health Science Center at San Antonio
| | - Jasmin Sanchez
- David Geffen School of Medicine, University of California Los Angeles (R.A.M., J.S., K.T.M., K.M., C.T., M.T., D.S.L., J.D.H.)
| | - Katherine T Mun
- David Geffen School of Medicine, University of California Los Angeles (R.A.M., J.S., K.T.M., K.M., C.T., M.T., D.S.L., J.D.H.)
| | - Kiran Marla
- David Geffen School of Medicine, University of California Los Angeles (R.A.M., J.S., K.T.M., K.M., C.T., M.T., D.S.L., J.D.H.)
| | - Cristina Teran
- David Geffen School of Medicine, University of California Los Angeles (R.A.M., J.S., K.T.M., K.M., C.T., M.T., D.S.L., J.D.H.)
| | - Marissa Thirion
- David Geffen School of Medicine, University of California Los Angeles (R.A.M., J.S., K.T.M., K.M., C.T., M.T., D.S.L., J.D.H.)
| | - David S Liebeskind
- David Geffen School of Medicine, University of California Los Angeles (R.A.M., J.S., K.T.M., K.M., C.T., M.T., D.S.L., J.D.H.)
| | - Emer R McGrath
- Framingham Heart Study, MA (E.R.M.G., J.M.Z., A.S.B., C.D.C., J.J.H., S.S.)
- HRB Clinical Research Facility, School of Medicine, University of Galway, Ireland (E.R.M.G.)
| | - Jared M Zucker
- Framingham Heart Study, MA (E.R.M.G., J.M.Z., A.S.B., C.D.C., J.J.H., S.S.)
| | - Rebecca Bernal
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.D.W., R.B., J.J.H., S.S.), University of Texas Health Science Center at San Antonio
| | - Alexa S Beiser
- Framingham Heart Study, MA (E.R.M.G., J.M.Z., A.S.B., C.D.C., J.J.H., S.S.)
- Department of Neurology, Boston University School of Medicine, MA (A.S.B., J.J.H., S.S.)
- Department of Biostatistics, Boston University School of Public Health, MA (A.S.B., J.J.H.)
| | - Charles DeCarli
- Framingham Heart Study, MA (E.R.M.G., J.M.Z., A.S.B., C.D.C., J.J.H., S.S.)
- Department of Neurology, University of California Davis, Sacramento (C.D.C.)
| | - Jayandra J Himali
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.D.W., R.B., J.J.H., S.S.), University of Texas Health Science Center at San Antonio
- Department of Population Health Sciences (J.J.H.), University of Texas Health Science Center at San Antonio
- Framingham Heart Study, MA (E.R.M.G., J.M.Z., A.S.B., C.D.C., J.J.H., S.S.)
- Department of Neurology, Boston University School of Medicine, MA (A.S.B., J.J.H., S.S.)
- Department of Biostatistics, Boston University School of Public Health, MA (A.S.B., J.J.H.)
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (C.D.W., R.B., J.J.H., S.S.), University of Texas Health Science Center at San Antonio
- Framingham Heart Study, MA (E.R.M.G., J.M.Z., A.S.B., C.D.C., J.J.H., S.S.)
- Department of Neurology, Boston University School of Medicine, MA (A.S.B., J.J.H., S.S.)
| | - Jason D Hinman
- David Geffen School of Medicine, University of California Los Angeles (R.A.M., J.S., K.T.M., K.M., C.T., M.T., D.S.L., J.D.H.)
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Stickel AM, Tarraf W, Gonzalez KA, Paredes AM, Zeng D, Cai J, Isasi CR, Kaplan R, Lipton RB, Daviglus ML, Testai FD, Lamar M, Gallo LC, Talavera GA, Gellman MD, Ramos AR, Ivanovic V, Seiler S, González HM, DeCarli C. Cardiovascular disease risk exacerbates brain aging among Hispanic/Latino adults in the SOL-INCA-MRI Study. Front Aging Neurosci 2024; 16:1390200. [PMID: 38778863 PMCID: PMC11110680 DOI: 10.3389/fnagi.2024.1390200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 04/09/2024] [Indexed: 05/25/2024] Open
Abstract
Background Cardiovascular disease (CVD) risk factors are highly prevalent among Hispanic/Latino adults, while the prevalence of MRI infarcts is not well-documented. We, therefore, sought to examine the relationships between CVD risk factors and infarcts with brain structure among Hispanic/Latino individuals. Methods Participants included 1,886 Hispanic/Latino adults (50-85 years) who underwent magnetic resonance imaging (MRI) as part of the Study of Latinos-Investigation of Neurocognitive Aging-MRI (SOL-INCA-MRI) study. CVD risk was measured approximately 10.5 years before MRI using the Framingham cardiovascular risk score, a measure of 10-year CVD risk (low (<10%), medium (10- < 20%), and high (≥20%)). MR infarcts were determined as present or absent. Outcomes included total brain, cerebral and lobar cortical gray matter, hippocampal, lateral ventricle, and total white matter hyperintensity (WMH) volumes. Linear regression models tested associations between CVD risk and infarct with MRI outcomes and for modifications by age and sex. Results Sixty percent of participants were at medium or high CVD risk. Medium and high CVD risk were associated with lower total brain and frontal gray matter and higher WMH volumes compared to those with low CVD risk. High CVD risk was additionally associated with lower total cortical gray matter and parietal volumes and larger lateral ventricle volumes. Men tended to have greater CVDRF-related differences in total brain volumes than women. The association of CVD risk factors on total brain volumes increased with age, equal to an approximate 7-year increase in total brain aging among the high-CVD-risk group compared to the low-risk group. The presence of infarct(s) was associated with lower total brain volumes, which was equal to an approximate 5-year increase in brain aging compared to individuals without infarcts. Infarcts were also associated with smaller total cortical gray matter, frontal and parietal volumes, and larger lateral ventricle and WMH volumes. Conclusion The high prevalence of CVD risk among Hispanic/Latino adults may be associated with accelerated brain aging.
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Affiliation(s)
- Ariana M. Stickel
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - Wassim Tarraf
- Department of Healthcare Sciences, Institute of Gerontology, Wayne State University, Detroit, MI, United States
| | - Kevin A. Gonzalez
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
| | | | - Donglin Zeng
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Carmen R. Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Robert Kaplan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Richard B. Lipton
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Martha L. Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, College of Medicine, Chicago, IL, United States
| | - Fernando D. Testai
- Department of Neurology & Neurorehabilitation, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States
| | - Melissa Lamar
- Institute for Minority Health Research, University of Illinois at Chicago, College of Medicine, Chicago, IL, United States
- Rush Alzheimer’s Disease Research Center, Rush University Medical Center, Chicago, IL, United States
| | - Linda C. Gallo
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - Gregory A. Talavera
- Department of Psychology, San Diego State University, San Diego, CA, United States
| | - Marc D. Gellman
- Department of Psychology, University of Miami, Miami, FL, United States
| | - Alberto R. Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Vladimir Ivanovic
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Stephan Seiler
- Department of Neurology, Klinikum Klagenfurt, Klagenfurt, Austria
| | - Hector M. González
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
| | - Charles DeCarli
- Department of Neurology, University of California at Davis, Davis, CA, United States
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Iandolo R, Avci E, Bommarito G, Sandvig I, Rohweder G, Sandvig A. Characterizing upper extremity fine motor function in the presence of white matter hyperintensities: A 7 T MRI cross-sectional study in older adults. Neuroimage Clin 2024; 41:103569. [PMID: 38281363 PMCID: PMC10839532 DOI: 10.1016/j.nicl.2024.103569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 01/19/2024] [Accepted: 01/21/2024] [Indexed: 01/30/2024]
Abstract
BACKGROUND White matter hyperintensities (WMH) are a prevalent radiographic finding in the aging brain studies. Research on WMH association with motor impairment is mostly focused on the lower-extremity function and further investigation on the upper-extremity is needed. How different degrees of WMH burden impact the network of activation recruited during upper limb motor performance could provide further insight on the complex mechanisms of WMH pathophysiology and its interaction with aging and neurological disease processes. METHODS 40 healthy elderly subjects without a neurological/psychiatric diagnosis were included in the study (16F, mean age 69.3 years). All subjects underwent ultra-high field 7 T MRI including structural and finger tapping task-fMRI. First, we quantified the WMH lesion load and its spatial distribution. Secondly, we performed a data-driven stratification of the subjects according to their periventricular and deep WMH burdens. Thirdly, we investigated the distribution of neural recruitment and the corresponding activity assessed through BOLD signal changes among different brain regions for groups of subjects. We clustered the degree of WMH based on location, numbers, and volume into three categories; ranging from mild, moderate, and severe. Finally, we explored how the spatial distribution of WMH, and activity elicited during task-fMRI relate to motor function, measured with the 9-Hole Peg Test. RESULTS Within our population, we found three subgroups of subjects, partitioned according to their periventricular and deep WMH lesion load. We found decreased activity in several frontal and cingulate cortex areas in subjects with a severe WMH burden. No statistically significant associations were found when performing the brain-behavior statistical analysis for structural or functional data. CONCLUSION WMH burden has an effect on brain activity during fine motor control and the activity changes are associated with varying degrees of the total burden and distributions of WMH lesions. Collectively, our results shed new light on the potential impact of WMH on motor function in the context of aging and neurodegeneration.
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Affiliation(s)
- Riccardo Iandolo
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
| | - Esin Avci
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
| | - Giulia Bommarito
- Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Ioanna Sandvig
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Gitta Rohweder
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Stroke Unit, Department of Medicine, St Olav's University Hospital, Trondheim, Norway
| | - Axel Sandvig
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Department of Neurology and Clinical Neurophysiology, St. Olav's University Hospital, Trondheim, Norway; Department of Clinical Neurosciences, Division of Neuro, Head and Neck, Umeå University Hospital, Umeå, Sweden; Department of Community Medicine and Rehabilitation, Umeå University Hospital, Umeå, Sweden.
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Caruana GF, Carruthers SP, Berk M, Rossell SL, Van Rheenen TE. To what extent does white matter map to cognition in bipolar disorder? A systematic review of the evidence. Prog Neuropsychopharmacol Biol Psychiatry 2024; 128:110868. [PMID: 37797735 DOI: 10.1016/j.pnpbp.2023.110868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/19/2023] [Accepted: 10/01/2023] [Indexed: 10/07/2023]
Abstract
Cognitive impairment is a prominent feature of bipolar disorder (BD), however the neural substrates underpinning it remain unclear. Several studies have explored white matter as a correlate of cognitive functioning in BD cohorts, but mixed results and varied methodologies from one to another make inferences about this relationship difficult to draw. Here we sought to systematically synthesise the findings of these studies to more clearly explicate the nature and extent of relationships between white matter and cognition in BD and determine best practice methodologies and areas for future research in this area. Using PRISMA guidelines, we identified and systematically reviewed 37 relevant studies, all of which were cross-sectional by design. There was substantial methodological heterogeneity and variability in the clinical presentations of BD cohorts encapsulated within the studies we reviewed, which complicated our synthesis of the findings. Nonetheless, there was some evidence that cognition is related to both white matter macrostructure and microstructure in people with BD. In particular, multiple microstructural studies consistently reported that higher fractional anisotropy, both globally and in the corpus callosum, associated with better complex attention skills and executive functioning. However, several reports did not identify any associations at all, and in general, associations between WM and cognition tended to only be evident in studies utilising larger samples and post-hoc selection of WM regions of interest. Further research with increased statistical power and standardised methods are required moving forward.
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Affiliation(s)
- Georgia F Caruana
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria 3053, Australia
| | - Sean P Carruthers
- Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Victoria 3122, Australia
| | - Michael Berk
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong 3220, Australia; Centre for Youth Mental Health and Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Victoria 3052, Australia; Barwon Health, University Hospital Geelong, Victoria 3220, Australia; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Victoria 3052, Australia
| | - Susan L Rossell
- Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Victoria 3122, Australia; St Vincent's Mental Health, St Vincent's Hospital, VIC, Australia
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria 3053, Australia; Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Victoria 3122, Australia; Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong 3220, Australia.
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Yeung SHS, Lee RHS, Cheng GWY, Ma IWT, Kofler J, Kent C, Ma F, Herrup K, Fornage M, Arai K, Tse KH. White matter hyperintensity genetic risk factor TRIM47 regulates autophagy in brain endothelial cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.18.566359. [PMID: 38187529 PMCID: PMC10769267 DOI: 10.1101/2023.12.18.566359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
White matter hyperintensity (WMH) is strongly correlated with age-related dementia and hypertension, but its pathogenesis remains obscure. GWAS identified TRIM47 at 17q25 locus as a top genetic risk factor for WMH formation. TRIM family is a class of E3 ubiquitin ligase with pivotal functions in autophagy, which is critical for brain endothelial cell (ECs) remodeling during hypertension. We hypothesize that TRIM47 regulates autophagy and its loss-of-function disturbs cerebrovasculature. Based on transcriptomics and immunohistochemistry, TRIM47 is found selectively expressed by brain ECs in human and mouse, and its transcription is upregulated by artificially-induced autophagy while downregulated in hypertension-like conditions. Using in silico simulation, immunocytochemistry and super-resolution microscopy, we identified the highly conserved binding site between TRIM47 and the LIR (LC3-interacting region) motif of LC3B. Importantly, pharmacological autophagy induction increased Trim47 expression on mouse ECs (b.End3) culture, while silencing Trim47 significantly increased autophagy with ULK1 phosphorylation induction, transcription and vacuole formation. Together, we confirm that TRIM47 is an endogenous inhibitor of autophagy in brain ECs, and such TRIM47-mediated regulation connects genetic and physiological risk factors for WMH formation but warrants further investigation. SUMMARY STATEMENT TRIM47, top genetic risk factor for white matter hyperintensity formation, is a negative regulator of autophagy in brain endothelial cells and implicates a novel cellular mechanism for age-related cerebrovascular changes.
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Petrea RE, Pinheiro A, Demissie S, Ekenze O, Aparicio HJ, Satizabal C, Maillard P, DeCarli C, Beiser AS, Seshadri S, Lioutas VA, Romero JR. Hypertension Trends and White Matter Brain Injury in the Offspring Framingham Heart Study Cohort. Hypertension 2024; 81:87-95. [PMID: 37855140 PMCID: PMC10896002 DOI: 10.1161/hypertensionaha.123.21264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 10/03/2023] [Indexed: 10/20/2023]
Abstract
BACKGROUND Hypertension is the most potent stroke risk factor and is also related to cerebral small vessel disease. We studied the relation between mid-to-late-life hypertension trends and cerebral white matter injury in community-dwelling individuals from the FHS (Framingham Heart Study). METHODS FHS Offspring cohort participants with available mid-life and late-life blood pressure measurements and brain magnetic resonance imaging were included. Multiple regression analyses were used to relate hypertension trends (normotension-normotension [reference], normotension-hypertension, and hypertension-hypertension) to white matter injury metrics on diffusion tensor imaging (free water, fractional anisotropy, and peak skeletonized mean diffusivity) and Fluid Attenuated Inversion Recovery (white matter hyperintensity volume) by different blood pressure cutoffs (130/80, 140/90, and 150/90 mm Hg). RESULTS We included 1018 participants (mean age 47.3±7.4 years at mid-life and 73.2±7.3 at late-life). At the 140/90 mm Hg cutoff, the hypertension-hypertension trend was associated with higher free water (β, 0.16 [95% CI, 0.03-0.30]; P=0.021) and peak skeletonized mean diffusivity (β, 0.15 [95% CI, 0.01-0.29]; P=0.033). At a 130/80 mm Hg cutoff, the hypertension-hypertension trend had significantly higher free water (β, 0.16 [95% CI, 0.01-0.30]; P=0.035); and the normotension-hypertension (β, 0.24 [95% CI, 0.03-0.44]; P=0.027) and hypertension-hypertension (β, 0.22 [95% CI, 0.04-0.41]; P=0.022) trends had significantly increased white matter hyperintensity volume. Exploratory stratified analysis showed effect modifications by APOE ɛ4 allele and age. CONCLUSIONS Mid-to-late-life hypertension exposure is significantly associated with microstructural and to a lesser extent, visible white matter injury; the effects are observed at both conventional and lower blood pressure cutoffs and are associated with longer duration of hypertension.
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Affiliation(s)
- Rodica Elena Petrea
- Department of Medicine, Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, USA
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
| | - Adlin Pinheiro
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Serkalem Demissie
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Oluchi Ekenze
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Graduate medical sciences, Boston University School of Medicine
| | - Hugo J. Aparicio
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Claudia Satizabal
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Pauline Maillard
- Alzheimer’s Disease Center and Imaging of Dementia and Aging (IDeA) Laboratory, Department of Neurology and Center for Neuroscience, University of California at Davis School of Medicine, Sacramento, CA, USA
| | - Charles DeCarli
- Alzheimer’s Disease Center and Imaging of Dementia and Aging (IDeA) Laboratory, Department of Neurology and Center for Neuroscience, University of California at Davis School of Medicine, Sacramento, CA, USA
| | - Alexa S Beiser
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Sudha Seshadri
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Vasileios-Arsenios Lioutas
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, MA, USA
| | - Jose Rafael Romero
- NHLBI’s Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
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Lin K, Wen W, Lipnicki DM, Mewton L, Chen R, Du J, Wang D, Skoog I, Sterner TR, Najar J, Kim KW, Han JW, Kim JS, Ng TP, Ho R, Chua DQL, Anstey KJ, Cherbuin N, Mortby ME, Brodaty H, Kochan N, Sachdev PS, Jiang J. Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: The COSMIC consortium. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12567. [PMID: 38487075 PMCID: PMC10937819 DOI: 10.1002/dad2.12567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 01/18/2024] [Accepted: 02/06/2024] [Indexed: 03/17/2024]
Abstract
INTRODUCTION White matter hyperintensities (WMHs) are an important imaging marker for cerebral small vessel diseases, but their risk factors and cognitive associations have not been well documented in populations of different ethnicities and/or from different geographical regions. METHODS We investigated how WMHs were associated with vascular risk factors and cognition in both Whites and Asians, using data from five population-based cohorts of non-demented older individuals from Australia, Singapore, South Korea, and Sweden (N = 1946). WMH volumes (whole brain, periventricular, and deep) were quantified with UBO Detector and harmonized using the ComBat model. We also harmonized various vascular risk factors and scores for global cognition and individual cognitive domains. RESULTS Factors associated with larger whole brain WMH volumes included diabetes, hypertension, stroke, current smoking, body mass index, higher alcohol intake, and insufficient physical activity. Hypertension and stroke had stronger associations with WMH volumes in Whites than in Asians. No associations between WMH volumes and cognitive performance were found after correction for multiple testing. CONCLUSION The current study highlights ethnic differences in the contributions of vascular risk factors to WMHs.
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Affiliation(s)
- Keshuo Lin
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Wei Wen
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Darren M. Lipnicki
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Louise Mewton
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Rory Chen
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Jing Du
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Dadong Wang
- Quantitative Imaging Research TeamCSIRO Informatics and StatisticsNorth RydeNew South WalesAustralia
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology UnitDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Centre for Ageing and Health (AGECAP)University of GothenburgGothenburgSweden
- Psychiatry, Cognition and Old Age Psychiatry ClinicSahlgrenska University HospitalGothenburgSweden
| | - Therese Rydberg Sterner
- Neuropsychiatric Epidemiology UnitDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Centre for Ageing and Health (AGECAP)University of GothenburgGothenburgSweden
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
| | - Jenna Najar
- Neuropsychiatric Epidemiology UnitDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Centre for Ageing and Health (AGECAP)University of GothenburgGothenburgSweden
- Section Genomics of Neurodegenerative Diseases and AgingDepartment of Human GeneticsAmsterdam Universitair Medische CentraAmsterdamthe Netherlands
| | - Ki Woong Kim
- Department of NeuropsychiatrySeoul National University Bundang HospitalSeongnamSouth Korea
- Department of PsychiatrySeoul National University College of MedicineSeoulSouth Korea
- Department of Brain and Cognitive SciencesSeoul National University College of Natural SciencesSeoulSouth Korea
| | - Ji Won Han
- Department of NeuropsychiatrySeoul National University Bundang HospitalSeongnamSouth Korea
- Department of PsychiatrySeoul National University College of MedicineSeoulSouth Korea
| | - Jun Sung Kim
- Department of NeuropsychiatrySeoul National University Bundang HospitalSeongnamSouth Korea
| | - Tze Pin Ng
- Department of Psychological MedicineKhoo Teck Puat HospitalYishunSingapore
- Geriatric Education and Research InstituteMinistry of HealthSingaporeSingapore
| | - Roger Ho
- Institute for Health Innovation and Technology (iHealthtech)National University of SingaporeSingaporeSingapore
| | - Denise Qian Ling Chua
- Department of Psychological MedicineNational University of SingaporeSingaporeSingapore
| | - Kaarin J. Anstey
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
- Department of NeurodegenerationNeuroscience Research AustraliaSydneyNew South WalesAustralia
- Ageing Futures InstituteUniversity of New South WalesSydneyNew South WalesAustralia
| | - Nicolas Cherbuin
- National Centre for Epidemiology and Population HealthCollege of Health and MedicineAustralian National UniversityCanberraAustralian Capital TerritoryAustralia
| | - Moyra E. Mortby
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
- Department of NeurodegenerationNeuroscience Research AustraliaSydneyNew South WalesAustralia
- Ageing Futures InstituteUniversity of New South WalesSydneyNew South WalesAustralia
| | - Henry Brodaty
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Nicole Kochan
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Perminder S. Sachdev
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Neuropsychiatric InstituteThe Prince of Wales HospitalSydneyNew South WalesAustralia
| | - Jiyang Jiang
- Centre for Healthy Brain AgeingSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
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9
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Hosoki S, Hansra GK, Jayasena T, Poljak A, Mather KA, Catts VS, Rust R, Sagare A, Kovacic JC, Brodtmann A, Wallin A, Zlokovic BV, Ihara M, Sachdev PS. Molecular biomarkers for vascular cognitive impairment and dementia. Nat Rev Neurol 2023; 19:737-753. [PMID: 37957261 DOI: 10.1038/s41582-023-00884-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2023] [Indexed: 11/15/2023]
Abstract
As disease-specific interventions for dementia are being developed, the ability to identify the underlying pathology and dementia subtypes is increasingly important. Vascular cognitive impairment and dementia (VCID) is the second most common cause of dementia after Alzheimer disease, but progress in identifying molecular biomarkers for accurate diagnosis of VCID has been relatively limited. In this Review, we examine the roles of large and small vessel disease in VCID, considering the underlying pathophysiological processes that lead to vascular brain injury, including atherosclerosis, arteriolosclerosis, ischaemic injury, haemorrhage, hypoperfusion, endothelial dysfunction, blood-brain barrier breakdown, inflammation, oxidative stress, hypoxia, and neuronal and glial degeneration. We consider the key molecules in these processes, including proteins and peptides, metabolites, lipids and circulating RNA, and consider their potential as molecular biomarkers alone and in combination. We also discuss the challenges in translating the promise of these biomarkers into clinical application.
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Affiliation(s)
- Satoshi Hosoki
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Gurpreet K Hansra
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Tharusha Jayasena
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Anne Poljak
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Bioanalytical Mass Spectrometry Facility, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW, Australia
| | - Karen A Mather
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Vibeke S Catts
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Ruslan Rust
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Abhay Sagare
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jason C Kovacic
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA
- Victor Chang Cardiac Research Institute, Darlinghurst, NSW, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - Amy Brodtmann
- Department of Neurology, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Anders Wallin
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Berislav V Zlokovic
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia.
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10
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Brito AC, Levy DF, Schneck SM, Entrup JL, Onuscheck CF, Casilio M, de Riesthal M, Davis LT, Wilson SM. Leukoaraiosis Is Not Associated With Recovery From Aphasia in the First Year After Stroke. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2023; 4:536-549. [PMID: 37946731 PMCID: PMC10631799 DOI: 10.1162/nol_a_00115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 06/28/2023] [Indexed: 11/12/2023]
Abstract
After a stroke, individuals with aphasia often recover to a certain extent over time. This recovery process may be dependent on the health of surviving brain regions. Leukoaraiosis (white matter hyperintensities on MRI reflecting cerebral small vessel disease) is one indication of compromised brain health and is associated with cognitive and motor impairment. Previous studies have suggested that leukoaraiosis may be a clinically relevant predictor of aphasia outcomes and recovery, although findings have been inconsistent. We investigated the relationship between leukoaraiosis and aphasia in the first year after stroke. We recruited 267 patients with acute left hemispheric stroke and coincident fluid attenuated inversion recovery MRI. Patients were evaluated for aphasia within 5 days of stroke, and 174 patients presented with aphasia acutely. Of these, 84 patients were evaluated at ∼3 months post-stroke or later to assess longer-term speech and language outcomes. Multivariable regression models were fit to the data to identify any relationships between leukoaraiosis and initial aphasia severity, extent of recovery, or longer-term aphasia severity. We found that leukoaraiosis was present to varying degrees in 90% of patients. However, leukoaraiosis did not predict initial aphasia severity, aphasia recovery, or longer-term aphasia severity. The lack of any relationship between leukoaraiosis severity and aphasia recovery may reflect the anatomical distribution of cerebral small vessel disease, which is largely medial to the white matter pathways that are critical for speech and language function.
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Affiliation(s)
| | - Deborah F. Levy
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sarah M. Schneck
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jillian L. Entrup
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Caitlin F. Onuscheck
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Marianne Casilio
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michael de Riesthal
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L. Taylor Davis
- Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Stephen M. Wilson
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, USA
- School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Australia
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11
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Rodriguez Lara F, Toro AR, Pinheiro A, Demissie S, Ekenze O, Martinez O, Parva P, Charidimou A, Ghosh S, DeCarli C, Seshadri S, Habes M, Maillard P, Romero JR. Relation of MRI-Visible Perivascular Spaces and Other MRI Markers of Cerebral Small Vessel Disease. Brain Sci 2023; 13:1323. [PMID: 37759924 PMCID: PMC10527297 DOI: 10.3390/brainsci13091323] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 09/10/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
Perivascular spaces (PVS) visible on brain MRI signal cerebral small vessel disease (CSVD). The coexistence of PVS with other CSVD manifestations likely increases the risk of adverse neurological outcomes. We related PVS to other CSVD manifestations and brain volumes that are markers of vascular brain injury and neurodegeneration. Framingham Heart Study (FHS) participants with CSVD ratings on brain MRI were included. PVS were rated in the basal ganglia (BG) and centrum semiovale (CSO) into grades I-IV and a category reflecting high burden in single or mixed CSO-BG regions. We related PVS to covert brain infarcts (CBI), white matter hyperintensities (WMH), cerebral microbleeds (CMB), total brain, hippocampal, and cortical gray matter volumes using adjusted multivariable regression analyses. In 2454 participants (mean age 54 ± 12 years), we observed that higher PVS burden in both BG and CSO was related to CMB in lobar and deep brain regions and increased WMH. Greater CSO PVS burden was associated with decreased total cortical gray volumes. PVS are associated with ischemic markers of CSVD and neurodegeneration markers. Further studies should elucidate the causality between PVS and other CSVD manifestations.
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Affiliation(s)
- Frances Rodriguez Lara
- Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, USA; (F.R.L.); (A.R.T.)
| | - Arturo Ruben Toro
- Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, USA; (F.R.L.); (A.R.T.)
| | - Adlin Pinheiro
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA; (A.P.); (S.D.)
- Framingham Heart Study, National Heart Lung and Blood Institute, Framingham, MA 01702, USA; (O.E.); (S.G.); (S.S.)
| | - Serkalem Demissie
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA; (A.P.); (S.D.)
- Framingham Heart Study, National Heart Lung and Blood Institute, Framingham, MA 01702, USA; (O.E.); (S.G.); (S.S.)
| | - Oluchi Ekenze
- Framingham Heart Study, National Heart Lung and Blood Institute, Framingham, MA 01702, USA; (O.E.); (S.G.); (S.S.)
- Graduate Medical Sciences, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, USA
| | - Oliver Martinez
- Department of Neurology, University of California Davis, Davis, CA 95817, USA; (O.M.); (C.D.); (P.M.)
| | - Pedram Parva
- Department of Radiology, Veterans Affairs Boston Healthcare System, Boston, MA 02118, USA;
- Department of Radiology, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, USA
| | - Andreas Charidimou
- Department of Neurology, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, USA;
| | - Saptaparni Ghosh
- Framingham Heart Study, National Heart Lung and Blood Institute, Framingham, MA 01702, USA; (O.E.); (S.G.); (S.S.)
- Department of Neurology, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, USA;
| | - Charles DeCarli
- Department of Neurology, University of California Davis, Davis, CA 95817, USA; (O.M.); (C.D.); (P.M.)
| | - Sudha Seshadri
- Framingham Heart Study, National Heart Lung and Blood Institute, Framingham, MA 01702, USA; (O.E.); (S.G.); (S.S.)
- Department of Neurology, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, USA;
- The Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX 78229, USA;
| | - Mohamad Habes
- The Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX 78229, USA;
| | - Pauline Maillard
- Department of Neurology, University of California Davis, Davis, CA 95817, USA; (O.M.); (C.D.); (P.M.)
| | - Jose Rafael Romero
- Framingham Heart Study, National Heart Lung and Blood Institute, Framingham, MA 01702, USA; (O.E.); (S.G.); (S.S.)
- Department of Neurology, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, USA;
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12
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Kimberly WT, Sorby-Adams AJ, Webb AG, Wu EX, Beekman R, Bowry R, Schiff SJ, de Havenon A, Shen FX, Sze G, Schaefer P, Iglesias JE, Rosen MS, Sheth KN. Brain imaging with portable low-field MRI. NATURE REVIEWS BIOENGINEERING 2023; 1:617-630. [PMID: 37705717 PMCID: PMC10497072 DOI: 10.1038/s44222-023-00086-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/06/2023] [Indexed: 09/15/2023]
Abstract
The advent of portable, low-field MRI (LF-MRI) heralds new opportunities in neuroimaging. Low power requirements and transportability have enabled scanning outside the controlled environment of a conventional MRI suite, enhancing access to neuroimaging for indications that are not well suited to existing technologies. Maximizing the information extracted from the reduced signal-to-noise ratio of LF-MRI is crucial to developing clinically useful diagnostic images. Progress in electromagnetic noise cancellation and machine learning reconstruction algorithms from sparse k-space data as well as new approaches to image enhancement have now enabled these advancements. Coupling technological innovation with bedside imaging creates new prospects in visualizing the healthy brain and detecting acute and chronic pathological changes. Ongoing development of hardware, improvements in pulse sequences and image reconstruction, and validation of clinical utility will continue to accelerate this field. As further innovation occurs, portable LF-MRI will facilitate the democratization of MRI and create new applications not previously feasible with conventional systems.
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Affiliation(s)
- W Taylor Kimberly
- Department of Neurology and the Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Annabel J Sorby-Adams
- Department of Neurology and the Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew G Webb
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ed X Wu
- Laboratory of Biomedical Imaging and Signal Processing, Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Rachel Beekman
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale New Haven Hospital and Yale School of Medicine, Yale Center for Brain & Mind Health, New Haven, CT, USA
| | - Ritvij Bowry
- Departments of Neurosurgery and Neurology, McGovern Medical School, University of Texas Health Neurosciences, Houston, TX, USA
| | - Steven J Schiff
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
| | - Adam de Havenon
- Division of Vascular Neurology, Department of Neurology, Yale New Haven Hospital and Yale School of Medicine, New Haven, CT, USA
| | - Francis X Shen
- Harvard Medical School Center for Bioethics, Harvard law School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Gordon Sze
- Department of Radiology, Yale New Haven Hospital and Yale School of Medicine, New Haven, CT, USA
| | - Pamela Schaefer
- Division of Neuroradiology, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Juan Eugenio Iglesias
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Centre for Medical Image Computing, University College London, London, UK
- Computer Science and AI Laboratory, Massachusetts Institute of Technology, Boston, MA, USA
| | - Matthew S Rosen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Kevin N Sheth
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale New Haven Hospital and Yale School of Medicine, Yale Center for Brain & Mind Health, New Haven, CT, USA
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13
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Lin K, Wen W, Lipnicki DM, Mewton L, Chen R, Du J, Wang D, Skoog I, Sterner TR, Najar J, Kim KW, Han JW, Kim JS, Ng TP, Ho R, Chua DQL, Anstey KJ, Cherbuin N, Mortby ME, Brodaty H, Kochan N, Sachdev PS, Jiang J. Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: the COSMIC consortium. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.30.23294876. [PMID: 37693599 PMCID: PMC10491386 DOI: 10.1101/2023.08.30.23294876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
INTRODUCTION White matter hyperintensities (WMH) are an important imaging marker for cerebral small vessel diseases, but their risk factors and cognitive associations have not been well-documented in populations of different ethnicities and/or from different geographical regions. METHOD Magnetic resonance imaging data of five population-based cohorts of non-demented older individuals from Australia, Singapore, South Korea, and Sweden (N = 1,946) were examined for WMH and their associations with vascular risk factors and cognition. RESULT Factors associated with larger whole brain WMH volumes included diabetes, hypertension, stroke, current smoking, body mass index, higher alcohol intake and insufficient physical activity. Participants with moderate or higher physical activity had less WMH than those who never exercised, but the former two groups did not differ. Hypertension and stroke had stronger associations with WMH volumes in the White, compared to Asian subsample. DISCUSSION The current study highlighted the ethnic differences in the contributions of vascular risk factors to WMH.
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Affiliation(s)
- Keshuo Lin
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Darren M. Lipnicki
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Louise Mewton
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Rory Chen
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Jing Du
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Dadong Wang
- CSIRO Informatics and Statistics, Locked Bag 17, North Ryde, NSW 1670, Australia
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Box 100, 405 30, at the University of Gothenburg, Sweden
- Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Box 100, 405 30, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Box 100, Goeteborg, Vaestra Goetaland 405 30, Sweden
| | - Therese Rydberg Sterner
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Box 100, 405 30, at the University of Gothenburg, Sweden
- Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Box 100, 405 30, Sweden
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Nobels väg 6, 171 77 Stockholm, Sweden
| | - Jenna Najar
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Box 100, 405 30, at the University of Gothenburg, Sweden
- Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Box 100, 405 30, Sweden
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Human Genetics, Amsterdam Universitair Medische Centra, PO Box 7057, 1007 MB, Amsterdam, the Netherlands
| | - Ki Woong Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggi-do 13620, Seongnam, Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul 03080, Korea
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul 03080, Korea
| | - Ji Won Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggi-do 13620, Seongnam, Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Jun Sung Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggi-do 13620, Seongnam, Korea
| | - Tze Pin Ng
- Khoo Teck Puat Hospital, 768828, Singapore
- Geriatric Education and Research Institute, Ministry of Health, 768024, Singapore
| | - Roger Ho
- Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, 119077, Singapore
| | - Denise Qian Ling Chua
- Department of Psychological Medicine, National University of Singapore, 119077, Singapore
| | - Kaarin J. Anstey
- School of Psychology, University of New South Wales, NSW 2052,Australia
- Neuroscience Research Australia, NSW 2031, Australia
- Ageing Futures Institute, University of New South Wales, NSW 2052,Australia
| | - Nicolas Cherbuin
- National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, ACT 2600, Canberra, Australia
| | - Moyra E. Mortby
- School of Psychology, University of New South Wales, NSW 2052,Australia
- Neuroscience Research Australia, NSW 2031, Australia
- Ageing Futures Institute, University of New South Wales, NSW 2052,Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, NSW 2031, Australia
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, NSW 2052, Australia
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14
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Reyes JL, Norby FL, Ji Y, Wang W, Parikh R, Zhang MJ, Oldenburg NC, Lutsey PL, Jack CR, Johansen M, Gottesman RF, Coresh J, Mosley T, Soliman EZ, Alonso A, Chen LY. Association of abnormal p-wave parameters with brain MRI morphology: The atherosclerosis risk in communities neurocognitive study (ARIC-NCS). Pacing Clin Electrophysiol 2023; 46:951-959. [PMID: 36924350 PMCID: PMC10440299 DOI: 10.1111/pace.14687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 01/23/2023] [Accepted: 02/18/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND Recent evidence indicates that abnormal P-wave parameters (PWPs)-ECG markers of atrial myopathy-are associated with incident dementia, independent of atrial fibrillation (AF) and clinical ischemic stroke. However, the mechanisms remain unclear and may include subclinical vascular brain injury. Hence, we evaluated the association of abnormal PWPs with brain MRI correlates of vascular brain injury in the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS). METHODS ARIC-NCS participants who underwent 3T brain MRI scans in 2011-2013 were included. PWPs were measured from standard 12-lead ECGs. Brain MRI outcomes included cortical infarcts, lacunar infarcts, cerebral microhemorrhages, brain volumes, and white matter disease (WMD) volume. We used weighted multivariable logistic and linear regression to evaluate the associations of abnormal PWPs with brain MRI outcomes. RESULTS Among 1715 participants (mean age, 76.1 years; 61% women; 29% Black), 797 (46%) had ≥1 abnormal PWP. After multivariable adjustment, including adjusting for prevalent AF, abnormal P-wave terminal force in lead V1 (aPTFV1) and prolonged P-wave duration (PPWD) were associated with increased odds of both cortical (OR 1.41; 95% CI, 1.14 to 1.74 and OR 1.30; 95% CI, 1.04 to 1.63, respectively) and lacunar infarcts (OR 1.36; 95% CI, 1.15 to 1.63 and OR 1.37; 95% CI, 1.15 to 1.65, respectively). Advanced interatrial block (aIAB) was associated with higher odds of subcortical microhemorrhage (OR 2.04; 95% CI, 1.36 to 3.06). Other than a significant association between aPTFV1 with lower parietal lobe volume, there were no other significant associations with brain or WMD volume. CONCLUSION In this exploratory analysis of a US community-based cohort, ECG surrogates of atrial myopathy are associated with a higher prevalence of brain infarcts and microhemorrhage, suggesting subclinical vascular brain injury as a possible mechanism underlying the association of atrial myopathy with dementia.
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Affiliation(s)
- Jorge L. Reyes
- Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Faye L. Norby
- Center for Cardiac Arrest Prevention, Department of Cardiology, Cedars-Sinai Smidt Heart Institute, Los Angeles, California
| | - Yuekai Ji
- Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Wendy Wang
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Romil Parikh
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Michael J. Zhang
- Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Niki C. Oldenburg
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Pamela L. Lutsey
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | | | - Michelle Johansen
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Rebecca F. Gottesman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Thomas Mosley
- The Memory Impairment and Neurodegenerative Dementia Center, University of Mississippi Medical Center, Jackson, Mississippi
| | - Elsayed Z. Soliman
- Department of Epidemiology, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Lin Yee Chen
- Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota
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15
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Bilski AE, Aparicio HJ, Gutierrez J, de Leeuw FE, Hilkens N. Antiplatelet Therapy or Not for Asymptomatic/Incidental Lacunar Infarction. Stroke 2023; 54:1954-1959. [PMID: 37191009 PMCID: PMC10421561 DOI: 10.1161/strokeaha.122.040444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 04/11/2023] [Indexed: 05/17/2023]
Affiliation(s)
- Amanda E Bilski
- Department of Neurology, New York Presbyterian Hospital/ Columbia University Irving Medical Center
| | - Hugo J. Aparicio
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine
- Boston Medical Center
| | - Jose Gutierrez
- Department of Neurology, New York Presbyterian Hospital/ Columbia University Irving Medical Center
| | - Frank-Erik de Leeuw
- Department of Neurology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Nina Hilkens
- Department of Neurology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
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16
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Liao H, Cheng J, Pan D, Deng Z, Liu Y, Jiang J, Cai J, He B, Lei M, Li H, Li Y, Xu Y, Tang Y. Association of earlier age at menopause with risk of incident dementia, brain structural indices and the potential mediators: a prospective community-based cohort study. EClinicalMedicine 2023; 60:102033. [PMID: 37396803 PMCID: PMC10314163 DOI: 10.1016/j.eclinm.2023.102033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 04/26/2023] [Accepted: 05/17/2023] [Indexed: 07/04/2023] Open
Abstract
Background To date, there is no homogeneous evidence of whether earlier age at menopause is associated with incident dementia. In addition, the underlying mechanism and driven mediators are largely unknown. We aimed to fill these knowledge gaps. Methods This community-based cohort study included 154,549 postmenopausal women without dementia at enrolment (between 2006 and 2010) from the UK Biobank who were followed up until June 2021. We followed up until June 2021. Age at menopause was entered as a categorical variable (<40, 40-49, and ≥50 years) with ≥50 years taken as a reference. The primary outcome was all-cause dementia in a time-to-event analysis and the secondary outcomes included Alzheimer's disease, vascular dementia, and other types of dementia. In addition, we investigated the association between magnetic resonance (MR) brain structure indices with earlier menopause, and explored the potential underlying driven mediators on the relationship between earlier menopause and dementia. Findings 2266 (1.47%) dementia cases were observed over a median follow-up period of 12.3 years. After adjusting for confounders, women with earlier menopause showed a higher risk of all-cause dementia compared with those ≥50 years (adjusted-HRs [95% CIs]: 1.21 [1.09-1.34] and 1.71 [1.38-2.11] in the 40-49 years and <40 years groups, respectively; P for trend <0.001). No significant interactions between earlier menopause and polygenic risk score, cardiometabolic factors, type of menopause, or hormone-replacement therapy strata were found. Earlier menopause was negatively associated with brain MR global and regional grey matter indices, and positively associated with white matter hyperintensity. The relationship between earlier menopause and dementia was partially mediated by menopause-related comorbidities including sleep disturbance, mental health disorder, frailty, chronic pain, and metabolic syndrome, with the proportion (95% CI) of mediation effect being 3.35% (2.18-5.40), 1.38% (1.05-3.20), 5.23% (3.12-7.83), 3.64% (2.88-5.62) and 3.01% (2.29-4.40), respectively. Multiple mediator analysis showed a combined effect being 13.21% (11.11-18.20). Interpretation Earlier age at menopause was associated with risk of incident dementia and deteriorating brain health. Further studies are warranted to clarify the underlying mechanisms by which earlier age at menopause is linked to an increased risk of dementia, and to determine public health strategies to attenuate this association. Funding National Natural Science Foundation of China, the Science and Technology Program of Guangzhou, the Key Area Research and Development Program of Guangdong Province, the China Postdoctoral Science Foundation, and the Guangdong Basic and Applied Basic Research Foundation.
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Affiliation(s)
- Huanquan Liao
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Neurology, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Jinping Cheng
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Dong Pan
- Department of Neurology, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Zhenhong Deng
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ying Liu
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jingru Jiang
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jinhua Cai
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Baixuan He
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ming Lei
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Honghong Li
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yi Li
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yongteng Xu
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yamei Tang
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
- Guangdong Province Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
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17
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Sochocka M, Karska J, Pszczołowska M, Ochnik M, Fułek M, Fułek K, Kurpas D, Chojdak-Łukasiewicz J, Rosner-Tenerowicz A, Leszek J. Cognitive Decline in Early and Premature Menopause. Int J Mol Sci 2023; 24:6566. [PMID: 37047549 PMCID: PMC10095144 DOI: 10.3390/ijms24076566] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/22/2023] [Accepted: 03/27/2023] [Indexed: 04/05/2023] Open
Abstract
Early and premature menopause, or premature ovarian insufficiency (POI), affects 1% of women under the age of 40 years. This paper reviews the main aspects of early and premature menopause and their impact on cognitive decline. Based on the literature, cognitive complaints are more common near menopause: a phase marked by a decrease in hormone levels, especially estrogen. A premature reduction in estrogen puts women at a higher risk for cardiovascular disease, parkinsonism, depression, osteoporosis, hypertension, weight gain, midlife diabetes, as well as cognitive disorders and dementia, such as Alzheimer's disease (AD). Experimental and epidemiological studies suggest that female sex hormones have long-lasting neuroprotective and anti-aging properties. Estrogens seem to prevent cognitive disorders arising from a cholinergic deficit in women and female animals in middle age premature menopause that affects the central nervous system (CNS) directly and indirectly, both transiently and in the long term, leads to cognitive impairment or even dementia, mainly due to the decrease in estrogen levels and comorbidity with cardiovascular risk factors, autoimmune diseases, and aging. Menopausal hormone therapy from menopause to the age of 60 years may provide a "window of opportunity" to reduce the risk of mild cognitive impairment (MCI) and AD in later life. Women with earlier menopause should be taken care of by various specialists such as gynecologists, endocrinologists, neurologists, and psychiatrists in order to maintain their mental health at the highest possible level.
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Affiliation(s)
- Marta Sochocka
- Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland
| | - Julia Karska
- Department of Psychiatry, Wroclaw Medical University, 50-367 Wroclaw, Poland
| | | | - Michał Ochnik
- Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland
| | - Michał Fułek
- Department of Internal Medicine, Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, 50-556 Wroclaw, Poland
| | - Katarzyna Fułek
- Department and Clinic of Otolaryngology, Head and Neck Surgery, Wroclaw Medical University, 50-556 Wroclaw, Poland
| | - Donata Kurpas
- Department of Family Medicine, Wroclaw Medical University, 51-141 Wroclaw, Poland
| | | | - Anna Rosner-Tenerowicz
- 2nd Department of Gynecology and Obstetrics, Wroclaw Medical University, 50-556 Wroclaw, Poland
| | - Jerzy Leszek
- Department of Psychiatry, Wroclaw Medical University, 50-367 Wroclaw, Poland
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18
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Alban SL, Lynch KM, Ringman JM, Toga AW, Chui HC, Sepehrband F, Choupan J. The association between white matter hyperintensities and amyloid and tau deposition. Neuroimage Clin 2023; 38:103383. [PMID: 36965457 PMCID: PMC10060905 DOI: 10.1016/j.nicl.2023.103383] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 02/09/2023] [Accepted: 03/16/2023] [Indexed: 03/22/2023]
Abstract
White matter hyperintensities (WMHs) frequently occur in Alzheimer's Disease (AD) and have a contribution from ischemia, though their relationship with β-amyloid and cardiovascular risk factors (CVRFs) is not completely understood. We used AT classification to categorize individuals based on their β-amyloid and tau pathologies, then assessed the effects of β-amyloid and tau on WMH volume and number. We then determined regions in which β-amyloid and WMH accumulation were related. Last, we analyzed the effects of various CVRFs on WMHs. As secondary analyses, we observed effects of age and sex differences, atrophy, cognitive scores, and APOE genotype. PET, MRI, FLAIR, demographic, and cardiovascular health data was collected from the Alzheimer's Disease Neuroimaging Initiative (ADNI-3) (N = 287, 48 % male). Participants were categorized as A + and T + if their Florbetapir SUVR and Flortaucipir SUVR were above 0.79 and 1.25, respectively. WMHs were mapped on MRI using a deep convolutional neural network (Sepehrband et al., 2020). CVRF scores were based on history of hypertension, systolic and diastolic blood pressure, pulse rate, respiration rate, BMI, and a cumulative score with 6 being the maximum score. Regression models and Pearson correlations were used to test associations and correlations between variables, respectively, with age, sex, years of education, and scanner manufacturer as covariates of no interest. WMH volume percent was significantly associated with global β-amyloid (r = 0.28, p < 0.001), but not tau (r = 0.05, p = 0.25). WMH volume percent was higher in individuals with either A + or T + pathology compared to controls, particularly within in the A+/T + group (p = 0.007, Cohen's d = 0.4, t = -2.5). Individual CVRFs nor cumulative CVRF scores were associated with increased WMH volume. Finally, the regions where β-amyloid and WMH count were most positively associated were the middle temporal region in the right hemisphere (r = 0.18, p = 0.002) and the fusiform region in the left hemisphere (r = 0.017, p = 0.005). β-amyloid and WMH have a clear association, though the mechanism facilitating this association is still not fully understood. The associations found between β-amyloid and WMH burden emphasizes the relationship between β-amyloid and vascular lesion formation while factors like CVRFs, age, and sex affect AD development through various mechanisms. These findings highlight potential causes and mechanisms of AD as targets for future preventions and treatments. Going forward, a larger emphasis may be placed on β-amyloid's vascular effects and the implications of impaired brain clearance in AD.
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Affiliation(s)
- Sierra L Alban
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kirsten M Lynch
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - John M Ringman
- Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Arthur W Toga
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Helena C Chui
- Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Farshid Sepehrband
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jeiran Choupan
- Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; NeuroScope Inc., Scarsdale, NY, USA
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19
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Tziaka E, Christidi F, Tsiptsios D, Sousanidou A, Karatzetzou S, Tsiakiri A, Doskas TK, Tsamakis K, Retzepis N, Konstantinidis C, Kokkotis C, Serdari A, Aggelousis N, Vadikolias K. Leukoaraiosis as a Predictor of Depression and Cognitive Impairment among Stroke Survivors: A Systematic Review. Neurol Int 2023; 15:238-272. [PMID: 36810471 PMCID: PMC9944578 DOI: 10.3390/neurolint15010016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/02/2023] [Accepted: 02/06/2023] [Indexed: 02/15/2023] Open
Abstract
Stroke survivors are at increased risk of developing depression and cognitive decline. Thus, it is crucial for both clinicians and stroke survivors to be provided with timely and accurate prognostication of post-stroke depression (PSD) and post-stroke dementia (PSDem). Several biomarkers regarding stroke patients' propensity to develop PSD and PSDem have been implemented so far, leukoaraiosis (LA) being among them. The purpose of the present study was to review all available work published within the last decade dealing with pre-existing LA as a predictor of depression (PSD) and cognitive dysfunction (cognitive impairment or PSDem) in stroke patients. A literature search of two databases (MEDLINE and Scopus) was conducted to identify all relevant studies published between 1 January 2012 and 25 June 2022 that dealt with the clinical utility of preexisting LA as a prognostic indicator of PSD and PSDem/cognitive impairment. Only full-text articles published in the English language were included. Thirty-four articles were traced and are included in the present review. LA burden, serving as a surrogate marker of "brain frailty" among stroke patients, appears to be able to offer significant information about the possibility of developing PSD or cognitive dysfunction. Determining the extent of pre-existing white matter abnormalities can properly guide decision making in acute stroke settings, as a greater degree of such lesioning is usually coupled with neuropsychiatric aftermaths, such as PSD and PSDem.
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Affiliation(s)
- Eftychia Tziaka
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Foteini Christidi
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Dimitrios Tsiptsios
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
- Correspondence: ; Tel.: +30-6944320016
| | - Anastasia Sousanidou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Stella Karatzetzou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Anna Tsiakiri
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | | | - Konstantinos Tsamakis
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London SE5 8AB, UK
| | - Nikolaos Retzepis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | - Christos Konstantinidis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | - Christos Kokkotis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | - Aspasia Serdari
- Department of Child and Adolescent Psychiatry, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Nikolaos Aggelousis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
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20
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Weinstein G, Vered S, Ivancovsky-Wajcman D, Ravona-Springer R, Heymann A, Zelber-Sagi S, Shahar DR, Beeri MS. Consumption of Ultra-Processed Food and Cognitive Decline among Older Adults With Type-2 Diabetes. J Gerontol A Biol Sci Med Sci 2023; 78:134-142. [PMID: 35305016 PMCID: PMC9879751 DOI: 10.1093/gerona/glac070] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Ultra-processed food (UPF) consumption is related to increased morbidity and mortality. However, knowledge on its association with cognitive function is lacking. In this longitudinal study, we examined the associations between UPF intake and cognitive decline in older adults with type-2 diabetes (T2D). METHODS The sample included initially nondemented T2D older adults (≥65 years), from the Israel Diabetes and Cognitive Decline study, who had complete information on nutrition at baseline and at least 3 cognitive assessments (mean follow-up 5.3 ± 1.5 years). Nutritional intake was evaluated by a validated Food-Frequency Questionnaire, and foods were categorized as UPF based on NOVA classification. Percent of calories from UPF were calculated from total caloric consumption in total and specific food groups. Mixed effect models were used to examine the link between UPF intake (top vs bottom quartiles) and change in cognitive function overall and in specific domains, adjusting for potential confounders. RESULTS Of the total sample (N = 568; mean age 71.3 ± 4.5 years, 60% men), 141 consumed >31% kcal from UPF (top quartile). Greater intake of ultra-processed meat was associated with a faster decline in executive functions and global cognition (β = -0.041 ± 0.013; p = .002 and β = -0.026 ± 0.010; p = .011, respectively). Additionally, consumption of ultra-processed oils/spreads was associated with faster decline in executive functions and global cognition (β = -0.037 ± 0.014; p = .006 and β = -0.028 ± 0.010; p = .009, respectively). Total UPF consumption and UPF-derived from dairy products and bread/pastries/starch were not associated with cognitive change. CONCLUSION This study suggests that a high intake of ultra-processed meat and oils/spreads may be associated with accelerated cognitive decline in older individuals with T2D.
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Affiliation(s)
| | - Shiraz Vered
- School of Public Health, University of Haifa, Haifa, Israel
| | - Dana Ivancovsky-Wajcman
- Liver Unit, Department of Gastroenterology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | - Ramit Ravona-Springer
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat-Gan, Israel
- Sackler School of Medicine, Tel-Aviv University, Israel
| | - Anthony Heymann
- Sackler School of Medicine, Tel-Aviv University, Israel
- Maccabi Healthcare Services, Tel-Aviv, Israel
| | - Shira Zelber-Sagi
- School of Public Health, University of Haifa, Haifa, Israel
- Liver Unit, Department of Gastroenterology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | - Danit Rivka Shahar
- Department of Public Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Michal Schnaider Beeri
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat-Gan, Israel
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Rosenberg GA. Willis Lecture: Biomarkers for Inflammatory White Matter Injury in Binswanger Disease Provide Pathways to Precision Medicine. Stroke 2022; 53:3514-3523. [PMID: 36148658 PMCID: PMC9613611 DOI: 10.1161/strokeaha.122.039211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Binswanger disease is the small vessel form of vascular cognitive impairment and dementia. Deposition of Alzheimer disease proteins can begin in midlife and progress slowly, whereas aging of the vasculature also can begin in midlife, continuing to progress into old age, making mixed dementia the most common type of dementia. Biomarkers facilitate the early diagnosis of dementias. It is possible to diagnose mixed dementia before autopsy with biomarkers for vascular disease derived from diffusor tensor images on magnetic resonance imaging and Alzheimer disease proteins, Aβ (amyloid β), and phosphorylated tau, in cerebrospinal fluid or in brain with positron emission tomography. The presence of vascular disease accelerates cognitive decline. Both misfolded proteins and vascular disease promote inflammation, which can be detected in cerebrospinal fluid by the presence of MMPs (matrix metalloproteinases), angiogenic growth factors, and cytokines. MMPs disrupt the blood-brain barrier and break down myelin, producing Binswanger disease's 2 main pathological features. Advances in detecting biomarkers in plasma will provide early detection of dementia and aided by machine learning and artificial intelligence, will enhance diagnosis and form the basis for early treatments.
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Affiliation(s)
- Gary A Rosenberg
- Center for Memory and Aging, Departments of Neurology, Neurosciences, Cell Biology and Physiology, University of New Mexico Health Sciences Center, Albuquerque
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22
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Laukka D, Parkkola R, Hirvonen J, Ylikotila P, Vahlberg T, Salo E, Kivelev J, Rinne J, Rahi M. Brain white matter hyperintensities in Kawasaki disease: A case–control study. Front Neurosci 2022; 16:995480. [PMID: 36330348 PMCID: PMC9623056 DOI: 10.3389/fnins.2022.995480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 09/21/2022] [Indexed: 11/17/2022] Open
Abstract
Background Cerebrovascular involvement of Kawasaki disease (KD) is poorly studied. White matter hyperintensities (WMH) indicate cerebral small vessel disease and increase the risk for stroke. Purpose To investigate whether childhood KD is associated with WMHs and other cerebrovascular findings later in adulthood. Materials and methods In this case-control study, patients diagnosed with KD (cases) at our tertiary hospital between 1978 and 1995 were invited to brain magnetic resonance (MRI) between 2016 and 2017. Migraine patients (controls) with available brain MRI were matched with cases (ratio 4:1) by age (±2 years) and sex. Two blinded neuroradiologists evaluated independently cerebrovascular findings from the brain MRI scans. Modified Scheltens' visual rating scale was used to evaluate WMH burden and the total WMH volume was measured using manual segmentation. Results Mean age [years, (SD)] at the time of brain MRI was 33.3 (3.8) and 32.8 (4.0) for cases (n = 40) and controls (n = 160), respectively (P = 0.53). Mean follow-up time for cases was 29.5 years (4.3). Total volume of WMHs (median) was 0.26 cm3 (IQR 0.34) for cases and 0.065 cm3 (IQR 0.075) for controls, P = 0.039. Cases had higher total WMH burden (P = 0.003), deep WMH burden (P = 0.003), and more periventricular WMHs (prevalence 7.5 vs. 0%, P = 0.008) than controls. Cases had greater risk of having total Scheltens' score ≥2 vs. < 2 (odds ratio, 6.88; 95% CI: 1.84–25.72, P = 0.0041) and ≥3 vs. < 3 (odds ratio, 22.71; 95% CI: 2.57–200.53, P = 0.0049). Diabetes type 1/type 2, hypertension, smoking status or hypercholesterolemia were not risk factors for WMH burden, p > 0.1. Myocarditis at the acute phase of KD increased the risk for periventricular WMHs (P < 0.05). Three cases (7.5%) and three controls (1.9%) had lacune of presumed vascular origin (P = 0.0096). Conclusion History of KD could be associated with an increased WMH burden. More studies are needed to confirm our results.
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Affiliation(s)
- Dan Laukka
- Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
- *Correspondence: Dan Laukka
| | - Riitta Parkkola
- Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Jussi Hirvonen
- Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Pauli Ylikotila
- Clinical Neurosciences, University of Turku, Turku, Finland
- Neurocenter, Turku University Hospital, Turku, Finland
| | - Tero Vahlberg
- Department of Clinical Medicine, Biostatistics, University of Turku, Turku, Finland
| | - Eeva Salo
- Children's Hospital, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Juri Kivelev
- Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
| | - Jaakko Rinne
- Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
| | - Melissa Rahi
- Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
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23
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Caçoilo A, Rusinek H, Weickenmeier J. 3D finite-element brain modeling of lateral ventricular wall loading to rationalize periventricular white matter hyperintensity locations. ENGINEERING WITH COMPUTERS 2022; 38:3939-3955. [PMID: 37485473 PMCID: PMC10361695 DOI: 10.1007/s00366-022-01700-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 06/19/2022] [Indexed: 07/25/2023]
Abstract
Aging-related periventricular white matter hyperintensities (pvWMHs) are a common observation in medical images of the aging brain. The underlying tissue damage is part of the complex pathophysiology associated with age-related microstructural changes and cognitive decline. PvWMH formation is linked to blood-brain barrier dysfunction from cerebral small vessel disease as well as the accumulation of cerebrospinal fluid in periventricular tissue due to progressive denudation of the ventricular wall. In need of a unifying theory for pvWMH etiology, image-based finite-element modeling is used to demonstrate that ventricular expansion from age-related cerebral atrophy and hemodynamic loading leads to maximum mechanical loading of the ventricular wall in the same locations that show pvWMHs. Ventricular inflation, induced via pressurization of the ventricular wall, creates significant ventricular wall stretch and stress on the ependymal cells lining the wall, that are linked to cerebrospinal fluid leaking from the lateral ventricles into periventricular white matter tissue. Eight anatomically accurate 3D brain models of cognitively healthy subjects with a wide range of ventricular shapes are created. For all models, our simulations show that mechanomarkers of mechanical wall loading are consistently highest in pvWMHs locations (p < 0.05). Maximum principal strain, the ependymal cell thinning ratio, and wall curvature are on average 14%, 8%, and 24% higher in pvWMH regions compared to the remaining ventricular wall, respectively. Computational modeling provides a powerful framework to systematically study pvWMH formation and growth with the goal to develop pharmacological interventions in the future.
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Affiliation(s)
- Andreia Caçoilo
- Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA
| | - Henry Rusinek
- Department of Radiology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Johannes Weickenmeier
- Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA
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24
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Gerstenecker A, Norling AM, Jacob A, Lazar RM. Silent Brain Infarction, Delirium, and Cognition in Three Invasive Cardiovascular Procedures: a Systematic Review. Neuropsychol Rev 2022; 33:474-491. [PMID: 35804216 DOI: 10.1007/s11065-022-09548-1] [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: 09/28/2021] [Accepted: 05/09/2022] [Indexed: 12/19/2022]
Abstract
Silent brain infarctions (SBIs) are brain lesions noted on neuroimaging that are not associated with clinical symptoms. SBIs are associated with a number of vascular risk factors and are common following invasive cardiovascular procedures such as atrial fibrillation (AF) ablation, coronary artery bypass graft (CABG), and transcatheter aortic valve replacement (TAVR). Although not eliciting signs of clinical stroke, SBIs are associated with increased frailty, and motor and mood features. Less is known, however, about the relationship between SBI, cognition, and delirium following invasive cardiac procedures and most investigations into these relationships have been reported in large-scale epidemiological studies. In the current paper, we conducted a systematic review to evaluate evidence of a relationship between SBI, delirium, and cognitive decline following CABG, AF ablation, and TAVR. Twenty studies met inclusion criteria. In general, our review identified conflicting results for each cardiac procedure, with some studies suggesting a relationship between SBI, cognitive impairment, and delirium, whereas others showed no relationship between SBI, cognitive impairment, and delirium. Potential reasons for this discrepancy as well as suggestions for future research are discussed.
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Affiliation(s)
- Adam Gerstenecker
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA. .,Alzheimer's Disease Center, University of Alabama at Birmingham, Birmingham, AL, USA. .,Evelyn F. McKnight Brain Institute, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - Amani M Norling
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.,Evelyn F. McKnight Brain Institute, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Alexandra Jacob
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ronald M Lazar
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.,Evelyn F. McKnight Brain Institute, University of Alabama at Birmingham, Birmingham, AL, USA
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25
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Barloese MCJ, Bauer C, Petersen ET, Hansen CS, Madsbad S, Siebner HR. Neurovascular Coupling in Type 2 Diabetes With Cognitive Decline. A Narrative Review of Neuroimaging Findings and Their Pathophysiological Implications. Front Endocrinol (Lausanne) 2022; 13:874007. [PMID: 35860697 PMCID: PMC9289474 DOI: 10.3389/fendo.2022.874007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 05/17/2022] [Indexed: 01/21/2023] Open
Abstract
Type 2 diabetes causes substantial long-term damage in several organs including the brain. Cognitive decline is receiving increased attention as diabetes has been established as an independent risk factor along with the identification of several other pathophysiological mechanisms. Early detection of detrimental changes in cerebral blood flow regulation may represent a useful clinical marker for development of cognitive decline for at-risk persons. Technically, reliable evaluation of neurovascular coupling is possible with several caveats but needs further development before it is clinically convenient. Different modalities including ultrasound, positron emission tomography and magnetic resonance are used preclinically to shed light on the many influences on vascular supply to the brain. In this narrative review, we focus on the complex link between type 2 diabetes, cognition, and neurovascular coupling and discuss how the disease-related pathology changes neurovascular coupling in the brain from the organ to the cellular level. Different modalities and their respective pitfalls are covered, and future directions suggested.
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Affiliation(s)
- Mads C. J. Barloese
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
- Department of Clinical Physiology and Nuclear Imaging, Center for Functional and Diagnostic Imaging, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Christian Bauer
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
- Radiography, Department of Technology, University College Copenhagen, Copenhagen, Denmark
| | - Esben Thade Petersen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
- Center for Magnetic Resonance, Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark
| | | | - Sten Madsbad
- Department of Endocrinology, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Neurology, Copenhagen University Hospital - Bispebjerg and Fredriksberg, Copenhagen, Denmark
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26
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Neural Processing of Health Information and Hypertension Self-Management in African Americans. Nurs Res 2022; 71:303-312. [PMID: 35302958 PMCID: PMC9246902 DOI: 10.1097/nnr.0000000000000592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Uncontrolled blood pressure (BP) rates are persistently high among African Americans with hypertension. Although self-management is critical to controlling BP, little is known about the brain-behavior connections underlying the processing of health information and the performance of self-management activities. OBJECTIVES In this pilot study, we explored the associations among neural processing of two types of health information and a set of self-management cognitive processes (self-efficacy, activation, decision-making, and hypertension knowledge) and behaviors (physical activity, dietary intake, and medication taking) and health status indicators (BP, health-related quality of life, anxiety, and depression). METHODS Using a descriptive cross-sectional design, 16 African Americans with uncontrolled hypertension (mean age = 57.5 years, 68.8% women) underwent functional magnetic resonance imaging to assess activation of two neural networks, the task-positive network and the default mode network, and a region in the ventromedial prefrontal cortex associated with emotion-focused and analytic-focused health information. Participants completed self-reports and clinical assessments of self-management processes, behaviors, and health status indicators. RESULTS Our hypothesis that neural processing associated with different types of health information would correlate with self-management cognitive processes and behaviors and health status indicators was only partially supported. Home diastolic BP was positively associated with ventromedial prefrontal cortex activation ( r = .536, p = .09); no other associations were found among the neural markers and self-management or health status variables. Expected relationships were found among the self-management processes and behaviors and health status indicators. DISCUSSION To advance our understanding of the neural processes underlying health information processing and chronic illness self-management, future studies are needed that use larger samples with more heterogeneous populations and additional neuroimaging techniques.
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27
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Kornej J, Friedrich K, Schroeter ML, Witte AV, Polyakova M, Villringer A, Löffler M, Zeynalova S. PR interval duration is associated with the presence of white matter hyperintensities: Insights from the epidemiologic LIFE-Adult Study. PLoS One 2022; 17:e0269815. [PMID: 35704643 PMCID: PMC9200346 DOI: 10.1371/journal.pone.0269815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 05/30/2022] [Indexed: 11/19/2022] Open
Abstract
Background PR interval prolongation is a preliminary stage of atrial cardiomyopathy which is considered as an intermediate phenotype for atrial fibrillation (AF). AF is a known risk factor for cerebrovascular adverse outcomes including stroke. Cerebral ischemia is one cause of white matter hyperintensities (WMHs), and cognitive dysfunction. Aim To analyze the relationship between PR interval and WMHs. Materials and methods We performed a cross-sectional analysis with individuals from the LIFE-Adult-Study (a population-based cohort study of randomly selected individuals from Leipzig, Germany) with available brain MRI and ECG. The Fazekas stages were used to quantify WMHs (0 = none; 1 = punctate foci; 2 = beginning confluence; 3 = large confluent areas). Stages 2–3 were defined as advanced WMHs. The PR interval was measured from resting 12-lead ECG. PR duration >200ms was defined as PR interval prolongation. We used a binary logistic regression for statistical analysis. We examined the relationship between MRI and ECG measures and adjusted them for clinical risk factors. Results We included 2464 individuals (age 59±15 years, 47% women) into analyses. The median PR interval was 160ms (interquartile range 143–179), and 319 (13%) individuals with advanced WMHs, were significantly older, had more cardiovascular comorbidities and risk factors compared to individuals without WMHs (all p<0.005). On univariable analysis, PR interval duration (OR 1.01, 95%CI 1.01–1.02, p≤0.001) and PR interval ≥160 ms (OR 2.1, 95%CI 1.6–2.7, p≤0.001) were associated with advanced WMHs. In multivariable analysis, while PR interval duration was not associated with WMHs in the whole cohort, individuals with PR ≥160ms had higher risk for WMHs. Conclusion PR interval duration is associated with advanced WMHs beside advanced age, hypertension, and history of stroke. Further research is needed to determine whether changes in PR interval indices are clinically relevant for changes in WMHs.
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Affiliation(s)
- Jelena Kornej
- School of Medicine – Cardiovascular Medicine, Boston University, Boston, Massachusetts, United States of America
- LIFE – Leipzig Research Center of Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Katrin Friedrich
- Institute for Medical Informatics, Statistics, and Epidemiology, University of Leipzig, Leipzig, Germany
- * E-mail:
| | - Matthias L. Schroeter
- Max Planck Institute for Human Cognitive and Brain Sciences & Clinic for Cognitive Neurology, Leipzig, Germany
| | - A. Veronica Witte
- Max Planck Institute for Human Cognitive and Brain Sciences & Clinic for Cognitive Neurology, Leipzig, Germany
| | - Maryna Polyakova
- Max Planck Institute for Human Cognitive and Brain Sciences & Clinic for Cognitive Neurology, Leipzig, Germany
| | - Arno Villringer
- Max Planck Institute for Human Cognitive and Brain Sciences & Clinic for Cognitive Neurology, Leipzig, Germany
| | - Markus Löffler
- LIFE – Leipzig Research Center of Civilization Diseases, University of Leipzig, Leipzig, Germany
- Institute for Medical Informatics, Statistics, and Epidemiology, University of Leipzig, Leipzig, Germany
| | - Samira Zeynalova
- LIFE – Leipzig Research Center of Civilization Diseases, University of Leipzig, Leipzig, Germany
- Institute for Medical Informatics, Statistics, and Epidemiology, University of Leipzig, Leipzig, Germany
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28
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Cooper LL, O'Donnell A, Beiser AS, Thibault EG, Sanchez JS, Benjamin EJ, Hamburg NM, Vasan RS, Larson MG, Johnson KA, Mitchell GF, Seshadri S. Association of Aortic Stiffness and Pressure Pulsatility With Global Amyloid-β and Regional Tau Burden Among Framingham Heart Study Participants Without Dementia. JAMA Neurol 2022; 79:710-719. [PMID: 35666520 DOI: 10.1001/jamaneurol.2022.1261] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance Aortic stiffness is associated with clinical hallmarks of Alzheimer disease and related dementias and could be a modifiable target for disease prevention. Objective To assess associations of aortic stiffness and pressure pulsatility with global amyloid-β plaques and regional tau burden in the brain of middle-aged and older adults without dementia. Design, Setting, and Participants The sample for this cross-sectional study was drawn from the Framingham Heart Study Third Generation Cohort at examination 3 (N = 3171; 2016-2019), of whom 3092 successfully underwent comprehensive hemodynamic evaluations. In a supplemental visit (2015-2021), a subset of 270 participants without dementia who represented the spectrum of vascular risk also underwent positron emission tomography. Thirteen participants were excluded for missing covariate data. The final sample size was 257 participants. Exposures Three measures of aortic stiffness and pressure pulsatility (carotid-femoral pulse wave velocity, central pulse pressure [CPP], and forward wave amplitude [FWA]) were evaluated using arterial tonometry. Main Outcomes and Measures Global amyloid-β plaques and regional tau were assessed using 11C-Pittsburgh compound B and 18F-flortaucipir positron emission tomography tracers, respectively. Results The mean (SD) age of the 257 participants was 54 (8) years, and 126 were women (49%). All participants were White Western European race. In multivariable models, higher CPP (β per SD = 0.17; 95% CI, 0.00-0.35; P = .045) and FWA (β per SD = 0.16; 95% CI, 0.00-0.31; P = .04) were associated with greater entorhinal tau burden. In similar models, higher CPP (β per SD = 0.19; 95% CI, 0.02-0.36; P = .03) and FWA (β per SD = 0.17; 95% CI, 0.01-0.32; P = .03) were associated with greater rhinal tau burden. Aortic stiffness and pressure pulsatility measures were not associated with amygdala, inferior temporal, precuneus tau burden, or global amyloid-β plaques. Associations for entorhinal and rhinal tau outcomes were more prominent in older participants (≥60 years). For example, higher levels of all aortic stiffness and pressure pulsatility measures (β per SD = 0.40-0.92; P = .001-.02) were associated with higher entorhinal tau burden among older but not younger participants in stratified analyses. Conclusions and Relevance In this cross-sectional study, abnormal central vascular hemodynamics were associated with higher tau burden in specific brain regions. Findings suggest that aortic stiffness, which is potentially modifiable, may be a probable independent target for prevention of tau-related pathologies.
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Affiliation(s)
- Leroy L Cooper
- Biology Department, Vassar College, Poughkeepsie, New York
| | - Adrienne O'Donnell
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.,Boston University and the National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts
| | - Alexa S Beiser
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.,Boston University and the National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Emma G Thibault
- Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Justin S Sanchez
- Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Emelia J Benjamin
- Boston University and the National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts.,Cardiology and Preventive Medicine Sections, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.,Evans Department of Medicine, Boston Medical Center, Boston, Massachusetts.,Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, Massachusetts.,Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Naomi M Hamburg
- Evans Department of Medicine, Boston Medical Center, Boston, Massachusetts.,Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, Massachusetts
| | - Ramachandran S Vasan
- Boston University and the National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts.,Cardiology and Preventive Medicine Sections, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.,Evans Department of Medicine, Boston Medical Center, Boston, Massachusetts.,Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, Massachusetts.,Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Martin G Larson
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.,Boston University and the National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts
| | - Keith A Johnson
- Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston.,Departments of Radiology and Neurology, Harvard Medical School, Boston, Massachusetts
| | | | - Sudha Seshadri
- Boston University and the National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts.,Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, Texas
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29
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de Havenon A, Sheth KN, Yeatts SD, Turan TN, Prabhakaran S. White matter hyperintensity progression is associated with incident probable dementia or mild cognitive impairment. Stroke Vasc Neurol 2022; 7:svn-2021-001357. [PMID: 35487617 PMCID: PMC9453836 DOI: 10.1136/svn-2021-001357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 04/04/2022] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND White matter hyperintensity (WMH) on brain MRI is associated with developing dementia or mild cognitive impairment (MCI), but WMH progression over time has not been fully investigated as an independent risk factor. METHODS We performed a post hoc analysis of the Systolic Blood Pressure Intervention Trial - Memory and Cognition in Decreased Hypertension (SPRINT MIND) trial. The primary outcome was incident probable dementia or MCI (dementia/MCI) before the follow-up MRI at 48 months from enrolment. The primary predictor was WMH progression, defined as the Z score difference between the follow-up and baseline WMH volumes. The secondary predictor was a binary WMH progression threshold (≥1.4 mL vs <1.4 mL). RESULTS Among the 433 included patients, 33 (7.6%) developed dementia/MCI. There were 156 (36.0%) patients who met the WMH progression threshold of ≥1.4 mL, in whom the rate of dementia/MCI was 12.8% (20/156) vs 4.7% (13/277) of patients with <1.4 mL WMH progression (p=0.002). In multivariable logistic regression, the Z score of WMH progression was associated with dementia/MCI (OR 1.51, 95% CI 1.12 to 2.04, p=0.007) as was the WMH progression threshold of ≥1.4 mL (OR 2.89, 95% CI 1.23 to 6.81, p=0.015). CONCLUSIONS In this post hoc analysis of SPRINT MIND, WMH progression over 48 months was associated with the development of probable dementia or MCI.
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Affiliation(s)
| | - Kevin N Sheth
- Neurology, Yale University, New Haven, Connecticut, USA
| | - Sharon D Yeatts
- Public Health Sciences, MUSC, Charleston, South Carolina, USA
| | | | - Shyam Prabhakaran
- Neurology, University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA
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30
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Di Chiara T, Del Cuore A, Daidone M, Scaglione S, Norrito RL, Puleo MG, Scaglione R, Pinto A, Tuttolomondo A. Pathogenetic Mechanisms of Hypertension-Brain-Induced Complications: Focus on Molecular Mediators. Int J Mol Sci 2022; 23:ijms23052445. [PMID: 35269587 PMCID: PMC8910319 DOI: 10.3390/ijms23052445] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Revised: 02/03/2022] [Accepted: 02/10/2022] [Indexed: 02/06/2023] Open
Abstract
There is growing evidence that hypertension is the most important vascular risk factor for the development and progression of cardiovascular and cerebrovascular diseases. The brain is an early target of hypertension-induced organ damage and may manifest as stroke, subclinical cerebrovascular abnormalities and cognitive decline. The pathophysiological mechanisms of these harmful effects remain to be completely clarified. Hypertension is well known to alter the structure and function of cerebral blood vessels not only through its haemodynamics effects but also for its relationships with endothelial dysfunction, oxidative stress and inflammation. In the last several years, new possible mechanisms have been suggested to recognize the molecular basis of these pathological events. Accordingly, this review summarizes the factors involved in hypertension-induced brain complications, such as haemodynamic factors, endothelial dysfunction and oxidative stress, inflammation and intervention of innate immune system, with particular regard to the role of Toll-like receptors that have to be considered dominant components of the innate immune system. The complete definition of their prognostic role in the development and progression of hypertensive brain damage will be of great help in the identification of new markers of vascular damage and the implementation of innovative targeted therapeutic strategies.
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31
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Vemuri P, Decarli CS, Duering M. Imaging Markers of Vascular Brain Health: Quantification, Clinical Implications, and Future Directions. Stroke 2022; 53:416-426. [PMID: 35000423 PMCID: PMC8830603 DOI: 10.1161/strokeaha.120.032611] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Cerebrovascular disease (CVD) manifests through a broad spectrum of mechanisms that negatively impact brain and cognitive health. Oftentimes, CVD changes (excluding acute stroke) are insufficiently considered in aging and dementia studies which can lead to an incomplete picture of the etiologies contributing to the burden of cognitive impairment. Our goal with this focused review is 3-fold. First, we provide a research update on the current magnetic resonance imaging methods that can measure CVD lesions as well as early CVD-related brain injury specifically related to small vessel disease. Second, we discuss the clinical implications and relevance of these CVD imaging markers for cognitive decline, incident dementia, and disease progression in Alzheimer disease, and Alzheimer-related dementias. Finally, we present our perspective on the outlook and challenges that remain in the field. With the increased research interest in this area, we believe that reliable CVD imaging biomarkers for aging and dementia studies are on the horizon.
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Affiliation(s)
| | - Charles S. Decarli
- Departments of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, California, USA
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
- Medical Image Analysis Center (MIAC AG) and qbig, Department of Biomedical Engineering, University of Basel, Switzerland
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32
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Homans C, Yalcin EB, Tong M, Gallucci G, Bautista D, Moriel N, de la Monte S. Therapeutic Effects of Myriocin in Experimental Alcohol-Related Neurobehavioral Dysfunction and Frontal Lobe White Matter Biochemical Pathology. JOURNAL OF BEHAVIORAL AND BRAIN SCIENCE 2022; 12:23-42. [PMID: 36815096 PMCID: PMC9942847 DOI: 10.4236/jbbs.2022.122003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background & Objective Chronic excessive alcohol consumption causes white matter degeneration with myelin loss and impaired neuronal conductivity. Subsequent rarefaction of myelin accounts for the sustained deficits in cognition, learning, and memory. Correspondingly, chronic heavy or repeated binge alcohol exposures in humans and experimental models alter myelin lipid composition leading to build-up of ceramides which can be neurotoxic and broadly inhibitory to brain functions. Methods This study examined the effects of chronic + binge alcohol exposures (8 weeks) and intervention with myriocin, a ceramide inhibitor, on neurobehavioral functions (Open Field, Novel Object Recognition, and Morris Water Maze tests) and frontal lobe white matter myelin lipid biochemical pathology in an adult Long-Evans rat model. Results The ethanol-exposed group had significant deficits in executive functions with increased indices of anxiety and impairments in spatial learning acquisition. Myriocin partially remediated these effects of ethanol while not impacting behavior in the control group. Ethanol-fed rats had significantly smaller brains with broadly reduced expression of sulfatides and reduced expression of two of the three sphingomyelins detected in frontal white matter. Myriocin partially resolved these effects corresponding with improvements in neurobehavioral function. Conclusion Therapeutic strategies that support cerebral white matter myelin expression of sulfatide and sphingomyelin may help remediate cognitive-behavioral dysfunction following chronic heavy alcohol consumption in humans.
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Affiliation(s)
- Camilla Homans
- Biotechnology Graduate Program, Brown University, Providence, RI, USA
| | - Emine B. Yalcin
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA,Liver Research Center, Department of Medicine, Rhode Island Hospital, Providence, RI, USA
| | - Ming Tong
- Liver Research Center, Department of Medicine, Rhode Island Hospital, Providence, RI, USA
| | - Gina Gallucci
- Liver Research Center, Department of Medicine, Rhode Island Hospital, Providence, RI, USA
| | - David Bautista
- Warren Alpert Medical School of Brown University, Providence, RI, USA,Brown University, Providence, RI, USA
| | - Natalia Moriel
- Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Suzanne de la Monte
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA,Warren Alpert Medical School of Brown University, Providence, RI, USA,Department of Pathology and Laboratory Medicine, Rhode Island Hospital, Women and Infants Hospital of Rhode Island, Providence VA Medical Center, Providence, RI, USA,
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Seshadri S, Caunca MR, Rundek T. Vascular Dementia and Cognitive Impairment. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00018-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Rundek T, Tolea M, Ariko T, Fagerli EA, Camargo CJ. Vascular Cognitive Impairment (VCI). Neurotherapeutics 2022; 19:68-88. [PMID: 34939171 PMCID: PMC9130444 DOI: 10.1007/s13311-021-01170-y] [Citation(s) in RCA: 73] [Impact Index Per Article: 36.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/06/2021] [Indexed: 01/03/2023] Open
Abstract
Vascular cognitive impairment (VCI) is predominately caused by vascular risk factors and cerebrovascular disease. VCI includes a broad spectrum of cognitive disorders, from mild cognitive impairment to vascular dementia caused by ischemic or hemorrhagic stroke, and vascular factors alone or in a combination with neurodegeneration including Alzheimer's disease (AD) and AD-related dementia. VCI accounts for at least 20-40% of all dementia diagnosis. Growing evidence indicates that cerebrovascular pathology is the most important contributor to dementia, with additive or synergistic interactions with neurodegenerative pathology. The most common underlying mechanism of VCI is chronic age-related dysregulation of CBF, although other factors such as inflammation and cardiovascular dysfunction play a role. Vascular risk factors are prevalent in VCI and if measured in midlife they predict cognitive impairment and dementia in later life. Particularly, hypertension, high cholesterol, diabetes, and smoking at midlife are each associated with a 20 to 40% increased risk of dementia. Control of these risk factors including multimodality strategies with an inclusion of lifestyle modification is the most promising strategy for treatment and prevention of VCI. In this review, we present recent developments in age-related VCI, its mechanisms, diagnostic criteria, neuroimaging correlates, vascular risk determinants, and current intervention strategies for prevention and treatment of VCI. We have also summarized the most recent and relevant literature in the field of VCI.
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Affiliation(s)
- Tatjana Rundek
- Department of Neurology and Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA.
| | - Magdalena Tolea
- Department of Neurology and Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Taylor Ariko
- Department of Neurology and Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Eric A Fagerli
- Department of Neurology and Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Christian J Camargo
- Department of Neurology and Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA
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Dadar M, Manera AL, Ducharme S, Collins DL. White matter hyperintensities are associated with grey matter atrophy and cognitive decline in Alzheimer's disease and frontotemporal dementia. Neurobiol Aging 2021; 111:54-63. [PMID: 34968832 DOI: 10.1016/j.neurobiolaging.2021.11.007] [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: 07/12/2021] [Revised: 10/21/2021] [Accepted: 11/26/2021] [Indexed: 01/18/2023]
Abstract
White matter hyperintensities (WMHs) are commonly assumed to represent non-specific cerebrovascular disease comorbid to neurodegenerative processes, rather than playing a synergistic role. We compared the impact of WMHs on grey matter (GM) atrophy and cognition in normal aging (n = 571), mild cognitive impairment (MCI, n = 551), Alzheimer's dementia (AD, n = 212), fronto-temporal dementia (FTD, n = 125), and Parkinson's disease (PD, n = 271). Longitudinal data were obtained from ADNI, FTLDNI, and PPMI datasets. Mixed-effects models were used to compare WMHs and GM atrophy between patients and controls and assess the impact of WMHs on GM atrophy and cognition. MCI, AD, and FTD patients had significantly higher WMH loads than controls. WMHs were related to GM atrophy in insular and parieto-occipital regions in MCI/AD, and frontal regions and basal ganglia in FTD. In addition, WMHs contributed to more severe cognitive deficits in AD and FTD compared to controls, whereas their impact in MCI and PD was not significantly different from controls. These results suggest potential synergistic effects between WMHs and proteinopathies in the neurodegenerative process in MCI, AD and FTD.
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Affiliation(s)
- Mahsa Dadar
- NeuroImaging and Surgical Tools Laboratory, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
| | - Ana Laura Manera
- NeuroImaging and Surgical Tools Laboratory, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Simon Ducharme
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; Department of Psychiatry, Douglas Mental Health University Institute and Douglas Research Centre, McGill University, Montreal, QC, Canada
| | - D Louis Collins
- NeuroImaging and Surgical Tools Laboratory, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
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Jiménez-Sánchez L, Hamilton OKL, Clancy U, Backhouse EV, Stewart CR, Stringer MS, Doubal FN, Wardlaw JM. Sex Differences in Cerebral Small Vessel Disease: A Systematic Review and Meta-Analysis. Front Neurol 2021; 12:756887. [PMID: 34777227 PMCID: PMC8581736 DOI: 10.3389/fneur.2021.756887] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 10/04/2021] [Indexed: 01/12/2023] Open
Abstract
Background: Cerebral small vessel disease (SVD) is a common cause of stroke, mild cognitive impairment, dementia and physical impairments. Differences in SVD incidence or severity between males and females are unknown. We assessed sex differences in SVD by assessing the male-to-female ratio (M:F) of recruited participants and incidence of SVD, risk factor presence, distribution, and severity of SVD features. Methods: We assessed four recent systematic reviews on SVD and performed a supplementary search of MEDLINE to identify studies reporting M:F ratio in covert, stroke, or cognitive SVD presentations (registered protocol: CRD42020193995). We meta-analyzed differences in sex ratios across time, countries, SVD severity and presentations, age and risk factors for SVD. Results: Amongst 123 relevant studies (n = 36,910 participants) including 53 community-based, 67 hospital-based and three mixed studies published between 1989 and 2020, more males were recruited in hospital-based than in community-based studies [M:F = 1.16 (0.70) vs. M:F = 0.79 (0.35), respectively; p < 0.001]. More males had moderate to severe SVD [M:F = 1.08 (0.81) vs. M:F = 0.82 (0.47) in healthy to mild SVD; p < 0.001], and stroke presentations where M:F was 1.67 (0.53). M:F did not differ for recent (2015-2020) vs. pre-2015 publications, by geographical region, or age. There were insufficient sex-stratified data to explore M:F and risk factors for SVD. Conclusions: Our results highlight differences in male-to-female ratios in SVD severity and amongst those presenting with stroke that have important clinical and translational implications. Future SVD research should report participant demographics, risk factors and outcomes separately for males and females. Systematic Review Registration: [PROSPERO], identifier [CRD42020193995].
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Affiliation(s)
- Lorena Jiménez-Sánchez
- Translational Neuroscience PhD Programme, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Olivia K. L. Hamilton
- Translational Neuroscience PhD Programme, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
| | - Una Clancy
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Ellen V. Backhouse
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Catriona R. Stewart
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Michael S. Stringer
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Fergus N. Doubal
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Joanna M. Wardlaw
- Edinburgh Dementia Research Centre in the UK Dementia Research Institute, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom
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Yuan J, Au R, Karjadi C, Ang TF, Devine S, Auerbach S, DeCarli C, Libon DJ, Mez J, Lin H. Associations Between the Digital Clock Drawing Test and Brain Volume: Large Community-Based Prospective Cohort (Framingham Heart Study) (Preprint). J Med Internet Res 2021; 24:e34513. [PMID: 35436225 PMCID: PMC9055470 DOI: 10.2196/34513] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 02/08/2022] [Accepted: 03/13/2022] [Indexed: 11/22/2022] Open
Abstract
Background The digital Clock Drawing Test (dCDT) has been recently used as a more objective tool to assess cognition. However, the association between digitally obtained clock drawing features and structural neuroimaging measures has not been assessed in large population-based studies. Objective We aimed to investigate the association between dCDT features and brain volume. Methods This study included participants from the Framingham Heart Study who had both a dCDT and magnetic resonance imaging (MRI) scan, and were free of dementia or stroke. Linear regression models were used to assess the association between 18 dCDT composite scores (derived from 105 dCDT raw features) and brain MRI measures, including total cerebral brain volume (TCBV), cerebral white matter volume, cerebral gray matter volume, hippocampal volume, and white matter hyperintensity (WMH) volume. Classification models were also built from clinical risk factors, dCDT composite scores, and MRI measures to distinguish people with mild cognitive impairment (MCI) from those whose cognition was intact. Results A total of 1656 participants were included in this study (mean age 61 years, SD 13 years; 50.9% women), with 23 participants diagnosed with MCI. All dCDT composite scores were associated with TCBV after adjusting for multiple testing (P value <.05/18). Eleven dCDT composite scores were associated with cerebral white matter volume, but only 1 dCDT composite score was associated with cerebral gray matter volume. None of the dCDT composite scores was associated with hippocampal volume or WMH volume. The classification model for differentiating MCI and normal cognition participants, which incorporated age, sex, education, MRI measures, and dCDT composite scores, showed an area under the curve of 0.897. Conclusions dCDT composite scores were significantly associated with multiple brain MRI measures in a large community-based cohort. The dCDT has the potential to be used as a cognitive assessment tool in the clinical diagnosis of MCI.
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Affiliation(s)
- Jing Yuan
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston University, Boston, MA, United States
| | - Rhoda Au
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston University, Boston, MA, United States
- Framingham Heart Study, Boston University School of Medicine, Boston University, Boston, MA, United States
- Department of Neurology, Boston University School of Medicine, Boston University, Boston, MA, United States
- Department of Epidemiology, Boston University School of Public Health, Boston University, Boston, MA, United States
- Slone Epidemiology Center, Boston University School of Medicine, Boston University, Boston, MA, United States
- Alzheimer's Disease Research Center, Boston University, Boston, MA, United States
| | - Cody Karjadi
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston University, Boston, MA, United States
- Framingham Heart Study, Boston University School of Medicine, Boston University, Boston, MA, United States
| | - Ting Fang Ang
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston University, Boston, MA, United States
- Framingham Heart Study, Boston University School of Medicine, Boston University, Boston, MA, United States
- Slone Epidemiology Center, Boston University School of Medicine, Boston University, Boston, MA, United States
| | - Sherral Devine
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston University, Boston, MA, United States
- Framingham Heart Study, Boston University School of Medicine, Boston University, Boston, MA, United States
| | - Sanford Auerbach
- Framingham Heart Study, Boston University School of Medicine, Boston University, Boston, MA, United States
- Department of Neurology, Boston University School of Medicine, Boston University, Boston, MA, United States
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California, Davis, Sacramento, CA, United States
| | - David J Libon
- Department of Geriatrics and Gerontology and Department of Psychology, New Jersey Institute for Successful Aging, Rowan University, School of Osteopathic Medicine, Stratford, NJ, United States
| | - Jesse Mez
- Framingham Heart Study, Boston University School of Medicine, Boston University, Boston, MA, United States
- Department of Neurology, Boston University School of Medicine, Boston University, Boston, MA, United States
- Alzheimer's Disease Research Center, Boston University, Boston, MA, United States
| | - Honghuang Lin
- Division of Clinical Informatics, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
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Werhane ML, Thomas KR, Bangen KJ, Weigand AJ, Edmonds EC, Nation DA, Sundermann EE, Bondi MW, Delano-Wood L. Arterial Stiffening Moderates the Relationship Between Type-2 Diabetes Mellitus and White Matter Hyperintensity Burden in Older Adults With Mild Cognitive Impairment. Front Aging Neurosci 2021; 13:716638. [PMID: 34759811 PMCID: PMC8574966 DOI: 10.3389/fnagi.2021.716638] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 09/06/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Cerebrovascular dysfunction has been proposed as a possible mechanism underlying cognitive impairment in the context of type 2 diabetes mellitus (DM). Although magnetic resonance imaging (MRI) evidence of cerebrovascular disease, such as white matter hyperintensities (WMH), is often observed in DM, the vascular dynamics underlying this pathology remain unclear. Thus, we assessed the independent and combined effects of DM status and different vascular hemodynamic measures (i.e., systolic, diastolic, and mean arterial blood pressure and pulse pressure index [PPi]) on WMH burden in cognitively unimpaired (CU) older adults and those with mild cognitive impairment (MCI). Methods: 559 older adults (mean age: 72.4 years) from the Alzheimer's Disease Neuroimaging Initiative were categorized into those with diabetes (DM+; CU = 43, MCI = 34) or without diabetes (DM-; CU = 279; MCI = 203). Participants underwent BP assessment, from which all vascular hemodynamic measures were derived. T2-FLAIR MRI was used to quantify WMH burden. Hierarchical linear regression, adjusting for age, sex, BMI, intracranial volume, CSF amyloid, and APOE ε4 status, examined the independent and interactive effects of DM status and each vascular hemodynamic measure on total WMH burden. Results: The presence of DM (p = 0.046), but not PPi values (p = 0.299), was independently associated with greater WMH burden overall after adjusting for covariates. Analyses stratified by cognitive status revealed a significant DM status x PPi interaction within the MCI group (p = 0.001) such that higher PPi values predicted greater WMH burden in the DM + but not DM- group. No significant interactions were observed in the CU group (all ps > 0.05). Discussion: Results indicate that higher PPi values are positively associated with WMH burden in diabetic older adults with MCI, but not their non-diabetic or CU counterparts. Our findings suggest that arterial stiffening and reduced vascular compliance may have a role in development of cerebrovascular pathology within the context of DM in individuals at risk for future cognitive decline. Given the specificity of these findings to MCI, future exploration of the sensitivity of earlier brain markers of vascular insufficiency (i.e., prior to macrostructural white matter changes) to the effects of DM and arterial stiffness/reduced vascular compliance in CU individuals is warranted.
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Affiliation(s)
- Madeleine L. Werhane
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Kelsey R. Thomas
- VA San Diego Healthcare System, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Katherine J. Bangen
- VA San Diego Healthcare System, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Alexandra J. Weigand
- VA San Diego Healthcare System, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
- SDSU/UC San Diego Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, San Diego, CA, United States
| | - Emily C. Edmonds
- VA San Diego Healthcare System, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Daniel A. Nation
- Department of Psychological Sciences, University of California, Irvine, Irvine, CA, United States
| | - Erin E. Sundermann
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Mark W. Bondi
- VA San Diego Healthcare System, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Lisa Delano-Wood
- VA San Diego Healthcare System, San Diego, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
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Vintimilla R, Hall J, King K, Braskie MN, Johnson L, Yaffe K, Toga AW, O'Bryant S. MRI biomarkers of small vessel disease and cognition: A cross-sectional study of a cognitively normal Mexican American cohort. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12236. [PMID: 34692977 PMCID: PMC8515357 DOI: 10.1002/dad2.12236] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 07/22/2021] [Accepted: 08/03/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND The current project sought to evaluate the impact that white matter hyperintensities (WMH) have on executive function in cognitively normal Mexican Americans, an underserved population with onset and more rapid progression of dementia. METHODS Data from 515 participants (360 female) enrolled in the Health and Aging Brain Study: Health Disparities project were analyzed. Participants underwent clinical evaluation, cognitive testing, and a brain MRI. Linear regression was used to predict the effect of total WMH volume on cognitive test scores. Age, sex, and education were entered as covariates. RESULTS Regression analysis showed that WMH volume significantly predicted executive function. WMH also predicted global cognition and attention scores, although not significantly after adjusting for age. CONCLUSION In this sample of cognitively normal Mexican Americans, we found that WMH volume was associated with lower scores in a measure of executive function, after accounting for age, sex, and education.
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Affiliation(s)
- Raul Vintimilla
- University of North Texas Health Science CenterFort WorthTexasUSA
| | - James Hall
- University of North Texas Health Science CenterFort WorthTexasUSA
| | - Kevin King
- Barrow Neurological InstitutePhoenixArizonaUSA
| | | | - Leigh Johnson
- University of North Texas Health Science CenterFort WorthTexasUSA
| | - Kristine Yaffe
- University of California San FranciscoSan FranciscoCaliforniaUSA
| | - Arthur W. Toga
- University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Sid O'Bryant
- University of North Texas Health Science CenterFort WorthTexasUSA
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Zaki HM, Sliem HA, Ibrahim HR, Yassine IA. Silent neurological lesions detected by magnetic resonance imaging: Relationship to hyperparathyroidism among end-stage renal disease young patients on haemodialysis. Int J Clin Pract 2021; 75:e14569. [PMID: 34165847 DOI: 10.1111/ijcp.14569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 06/23/2021] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND End-stage renal disease (ESRD) patients on haemodialysis (HD) suffer from several peripheral and central neurological complications. They are at high risk for developing silent neurological lesions (SNL) that may be detected accidentally by magnetic resonance imaging (MRI). Many factors are implicated in the development of neurological deficits in ESRD patients on HD. AIM OF THE WORK Evaluation of SNL in young ESRD patients by using MRI and assessing its correlation with hyperparathyroidism. METHODS The study involved 48 young ESRD patients (mean age of 19.6 ± 6 years) with HD and do not have any apparent abnormalities in the neurological examination. Laboratory investigations and conventional brain MRI were done on all. RESULTS 79.2% have SBI and 45.8% have white matter lesions. Regression analysis revealed that calcium level and duration of dialysis were independent predictor factors for the presence of silent brain MRI lesions (P = .034 & 0.045 respectively). ROC curve showed that parathyroid hormone (PTH) level >585 pg/mL, duration of dialysis >2 years, and calcium level >7.5 mg/dL predicted the presence of SNL. CONCLUSION The duration of HD and hyperparathyroidism (HPT) were independent predictors for the presence of SNL. MRI brain is considered as a mandatory affordable tool for HD patients >2 years and has HPT for early detection of SNL to help early intervention and avoid neurological complications and disabilities.
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Affiliation(s)
- Heba M Zaki
- Department of Internal Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Hamdy A Sliem
- Department of Internal Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Heba R Ibrahim
- Department of Diagnostic Radiology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Imane A Yassine
- Department of Neurology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
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Wang Q, Su N, Huang J, Liang X, Yuan J, Yao M, Zhou LX, Jin ZY, Zhang SY, Cui LY, Gong G, Tian F, Zhu YC, Ni J. White Matter but not Gray Matter Volumes Are Associated with Cognition in Community-Dwelling Chinese Populations. J Alzheimers Dis 2021; 84:367-375. [PMID: 34542069 DOI: 10.3233/jad-210367] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Few studies have investigated the association between cognition and brain volume associated with cerebral small vessel disease (CSVD). OBJECTIVE We investigated the association between cognition and brain volume and neuroimaging markers of CSVD in a community-dwelling population. METHODS Participants (n = 993, age≥35 years) from the community-based Shunyi Study were included to investigate the association between neuroimaging markers and cognition cross-sectionally. Magnetic resonance imaging markers included brain volume measurements of the total cerebrum, white matter, gray matter, and CSVD imaging markers. Cognitive performance was assessed using neuropsychological tests of the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Fuld Object Memory, digit span, Trail Making Test (TMT)-A, and TMT-B. RESULTS For brain volume measurement, subcortical white matter fraction was positively associated with MMSE score (β= 0.034, p = 0.0062) and MoCA score (β= 0.034, p = 0.0174), and negatively associated with TMT-A and TMT-B completion time (β= -2.319, p = 0.0002; β= -2.827, p = 0.0073, respectively). For evaluation of CSVD imaging markers, the presence of lacunes was positively associated with TMT-B completion time (β= 17.241, p = 0.0028). CONCLUSION In community-dwelling populations, reduced white matter volumes, as a consequence of aging and vascular damage, are associated with worse global cognition and executive function. Our findings provide potential insights into the correlation between cognition and CSVD-associated subcortical white matter injury.
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Affiliation(s)
- Quan Wang
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ning Su
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jin Huang
- State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
| | - Xinyu Liang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Jing Yuan
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ming Yao
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li-Xin Zhou
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zheng-Yu Jin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shu-Yang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li-Ying Cui
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Feng Tian
- State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
| | - Yi-Cheng Zhu
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Ni
- Department of Neurology , State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Suchy-Dicey A, Muller C, Shibata D, Howard BV, Cole SA, Longstreth WT, Devereux RB, Buchwald D. Comparing Vascular Brain Injury and Stroke by Cranial Magnetic Resonance Imaging, Physician-Adjudication, and Self-Report: Data from the Strong Heart Study. Neuroepidemiology 2021; 55:398-406. [PMID: 34428763 PMCID: PMC8448943 DOI: 10.1159/000517804] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/10/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Epidemiologic studies often use self-report as proxy for clinical history. However, whether self-report correctly identifies prevalence in minority populations with health disparities and poor health-care access is unknown. Furthermore, overlap of clinical vascular events with covert vascular brain injury (VBI), detected by imaging, is largely unexamined. METHODS The Strong Heart Study recruited American Indians from 3 regions, with surveillance and adjudication of stroke events from 1989 to 2013. In 2010-2013, all 817 survivors, aged 65-95 years, underwent brain imaging, neurological history interview, and cognitive testing. VBI was defined as imaged infarct or hemorrhage. RESULTS Adjudicated stroke was prevalent in 4% of participants and separately collected, self-reported stroke in 8%. Imaging-defined VBI was detected in 51% and not associated with any stroke event in 47%. Compared with adjudication, self-report had 76% sensitivity and 95% specificity. Participants with adjudicated or self-reported stroke had the poorest performance on cognitive testing; those with imaging-only (covert) VBI had intermediate performance. CONCLUSION In this community-based cohort, self-report for prior stroke had good performance metrics. A majority of participants with VBI did not have overt, clinically recognized events but did have neurological or cognitive symptoms. Data collection methodology for studies in a resource-limited setting must balance practical limitations in costs, accuracy, feasibility, and research goals.
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Affiliation(s)
- Astrid Suchy-Dicey
- Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, Washington, USA
| | - Clemma Muller
- Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, Washington, USA
| | - Dean Shibata
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | | | - Shelley A Cole
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - W T Longstreth
- Department of Neurology, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | | | - Dedra Buchwald
- Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, Washington, USA
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Wheater E, Shenkin SD, Muñoz Maniega S, Valdés Hernández M, Wardlaw JM, Deary IJ, Bastin ME, Boardman JP, Cox SR. Birth weight is associated with brain tissue volumes seven decades later but not with MRI markers of brain ageing. NEUROIMAGE-CLINICAL 2021; 31:102776. [PMID: 34371238 PMCID: PMC8358699 DOI: 10.1016/j.nicl.2021.102776] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 07/22/2021] [Accepted: 07/25/2021] [Indexed: 12/03/2022]
Abstract
Larger birth weight is associated with larger brain tissue volumes at age 73. Birth weight is not associated with age-associated brain features. Effect of birth weight on brain volumes is independent of overall body size. Early life growth is likely to confer brain tissue reserve in later life.
Birth weight, an indicator of fetal growth, is associated with cognitive outcomes in early life (which are predictive of cognitive ability in later life) and risk of metabolic and cardiovascular disease across the life course. Brain health in older age, indexed by MRI features, is associated with cognitive performance, but little is known about how variation in normal birth weight impacts on brain structure in later life. In a community dwelling cohort of participants in their early seventies we tested the hypothesis that birth weight is associated with the following MRI features: total brain (TB), grey matter (GM) and normal appearing white matter (NAWM) volumes; whiter matter hyperintensity (WMH) volume; a general factor of fractional anisotropy (gFA) and peak width skeletonised mean diffusivity (PSMD) across the white matter skeleton. We also investigated the associations of birth weight with cortical surface area, volume and thickness. Birth weight was positively associated with TB, GM and NAWM volumes in later life (β ≥ 0.194), and with regional cortical surface area but not gFA, PSMD, WMH volume, or cortical volume or thickness. These positive relationships appear to be explained by larger intracranial volume, rather than by age-related tissue atrophy, and are independent of body height and weight in adulthood. This suggests that larger birth weight is linked to more brain tissue reserve in older life, rather than age-related brain structural features, such as tissue atrophy or WMH volume.
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Affiliation(s)
- Emily Wheater
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Susan D Shenkin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom; Geriatric Medicine, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Susana Muñoz Maniega
- Geriatric Medicine, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom; Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom; Scottish Imaging Network, A Platform for Scientific Excellence Collaboration (SINAPSE), Edinburgh, United Kingdom
| | - Maria Valdés Hernández
- Geriatric Medicine, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom; Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom; Scottish Imaging Network, A Platform for Scientific Excellence Collaboration (SINAPSE), Edinburgh, United Kingdom
| | - Joanna M Wardlaw
- Geriatric Medicine, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom; Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom; Scottish Imaging Network, A Platform for Scientific Excellence Collaboration (SINAPSE), Edinburgh, United Kingdom; UK Dementia Research Institute Centre at the University of Edinburgh, United Kingdom
| | - Ian J Deary
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom; Department Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark E Bastin
- Geriatric Medicine, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom; Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom; Scottish Imaging Network, A Platform for Scientific Excellence Collaboration (SINAPSE), Edinburgh, United Kingdom
| | - James P Boardman
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Simon R Cox
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, United Kingdom; Scottish Imaging Network, A Platform for Scientific Excellence Collaboration (SINAPSE), Edinburgh, United Kingdom; Department Psychology, University of Edinburgh, Edinburgh, United Kingdom.
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Hoagey DA, Lazarus LTT, Rodrigue KM, Kennedy KM. The effect of vascular health factors on white matter microstructure mediates age-related differences in executive function performance. Cortex 2021; 141:403-420. [PMID: 34130048 PMCID: PMC8319097 DOI: 10.1016/j.cortex.2021.04.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 12/11/2020] [Accepted: 04/08/2021] [Indexed: 01/03/2023]
Abstract
Even within healthy aging, vascular risk factors can detrimentally influence cognition, with executive functions (EF) particularly vulnerable. Fronto-parietal white matter (WM) connectivity in part, supports EF and may be particularly sensitive to vascular risk. Here, we utilized structural equation modeling in 184 healthy adults (aged 20-94 years of age) to test the hypotheses that: 1) fronto-parietal WM microstructure mediates age effects on EF; 2) higher blood pressure (BP) and white matter hyperintensity (WMH) burden influences this association. All participants underwent comprehensive cognitive and neuropsychological testing including tests of processing speed, executive function (with a focus on tasks that require switching and inhibition) and completed an MRI scanning session that included FLAIR imaging for semi-automated quantification of white matter hyperintensity burden and diffusion-weighted imaging for tractography. Structural equation models were specified with age (as a continuous variable) and blood pressure predicting within-tract WMH burden and fractional anisotropy predicting executive function and processing speed. Results indicated that fronto-parietal white matter of the genu of the corpus collosum, superior longitudinal fasciculus, and the inferior frontal occipital fasciculus (but not cortico-spinal tract) mediated the association between age and EF. Additionally, increased systolic blood pressure and white matter hyperintensity burden within these white matter tracts contribute to worsening white matter health and are important factors underlying age-brain-behavior associations. These findings suggest that aging brings about increases in both BP and WMH burden, which may be involved in the degradation of white matter connectivity and in turn, negatively impact executive functions as we age.
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Affiliation(s)
- David A Hoagey
- The University of Texas at Dallas, School of Behavioral and Brain Sciences, Center for Vital Longevity, Dallas, TX, USA
| | - Linh T T Lazarus
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Karen M Rodrigue
- The University of Texas at Dallas, School of Behavioral and Brain Sciences, Center for Vital Longevity, Dallas, TX, USA
| | - Kristen M Kennedy
- The University of Texas at Dallas, School of Behavioral and Brain Sciences, Center for Vital Longevity, Dallas, TX, USA.
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Bretzner M, Bonkhoff AK, Schirmer MD, Hong S, Dalca AV, Donahue KL, Giese AK, Etherton MR, Rist PM, Nardin M, Marinescu R, Wang C, Regenhardt RW, Leclerc X, Lopes R, Benavente OR, Cole JW, Donatti A, Griessenauer CJ, Heitsch L, Holmegaard L, Jood K, Jimenez-Conde J, Kittner SJ, Lemmens R, Levi CR, McArdle PF, McDonough CW, Meschia JF, Phuah CL, Rolfs A, Ropele S, Rosand J, Roquer J, Rundek T, Sacco RL, Schmidt R, Sharma P, Slowik A, Sousa A, Stanne TM, Strbian D, Tatlisumak T, Thijs V, Vagal A, Wasselius J, Woo D, Wu O, Zand R, Worrall BB, Maguire JM, Lindgren A, Jern C, Golland P, Kuchcinski G, Rost NS. MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes. Front Neurosci 2021; 15:691244. [PMID: 34321995 PMCID: PMC8312571 DOI: 10.3389/fnins.2021.691244] [Citation(s) in RCA: 4] [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: 04/05/2021] [Accepted: 06/15/2021] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE Neuroimaging measurements of brain structural integrity are thought to be surrogates for brain health, but precise assessments require dedicated advanced image acquisitions. By means of quantitatively describing conventional images, radiomic analyses hold potential for evaluating brain health. We sought to: (1) evaluate radiomics to assess brain structural integrity by predicting white matter hyperintensities burdens (WMH) and (2) uncover associations between predictive radiomic features and clinical phenotypes. METHODS We analyzed a multi-site cohort of 4,163 acute ischemic strokes (AIS) patients with T2-FLAIR MR images with total brain and WMH segmentations. Radiomic features were extracted from normal-appearing brain tissue (brain mask-WMH mask). Radiomics-based prediction of personalized WMH burden was done using ElasticNet linear regression. We built a radiomic signature of WMH with stable selected features predictive of WMH burden and then related this signature to clinical variables using canonical correlation analysis (CCA). RESULTS Radiomic features were predictive of WMH burden (R 2 = 0.855 ± 0.011). Seven pairs of canonical variates (CV) significantly correlated the radiomics signature of WMH and clinical traits with respective canonical correlations of 0.81, 0.65, 0.42, 0.24, 0.20, 0.15, and 0.15 (FDR-corrected p-values CV 1 - 6 < 0.001, p-value CV 7 = 0.012). The clinical CV1 was mainly influenced by age, CV2 by sex, CV3 by history of smoking and diabetes, CV4 by hypertension, CV5 by atrial fibrillation (AF) and diabetes, CV6 by coronary artery disease (CAD), and CV7 by CAD and diabetes. CONCLUSION Radiomics extracted from T2-FLAIR images of AIS patients capture microstructural damage of the cerebral parenchyma and correlate with clinical phenotypes, suggesting different radiographical textural abnormalities per cardiovascular risk profile. Further research could evaluate radiomics to predict the progression of WMH and for the follow-up of stroke patients' brain health.
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Affiliation(s)
- Martin Bretzner
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
- Inserm, CHU Lille, U1172 - LilNCog (JPARC) - Lille Neurosciences and Cognition, University of Lille, Lille, France
| | - Anna K. Bonkhoff
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Markus D. Schirmer
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Sungmin Hong
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Adrian V. Dalca
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
- A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Kathleen L. Donahue
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Anne-Katrin Giese
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Mark R. Etherton
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Pamela M. Rist
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
| | - Marco Nardin
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Razvan Marinescu
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Clinton Wang
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Robert W. Regenhardt
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
| | - Xavier Leclerc
- Inserm, CHU Lille, U1172 - LilNCog (JPARC) - Lille Neurosciences and Cognition, University of Lille, Lille, France
| | - Renaud Lopes
- Inserm, CHU Lille, U1172 - LilNCog (JPARC) - Lille Neurosciences and Cognition, University of Lille, Lille, France
- CNRS, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, Lille, France
| | - Oscar R. Benavente
- Department of Medicine, Division of Neurology, University of British Columbia, Vancouver, BC, Canada
| | - John W. Cole
- Department of Neurology, University of Maryland School of Medicine and Veterans Affairs Maryland Health Care System, Baltimore, MD, United States
| | - Amanda Donatti
- School of Medical Sciences, University of Campinas (UNICAMP) and the Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil
| | - Christoph J. Griessenauer
- Department of Neurosurgery, Geisinger, Danville, PA, United States
- Research Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria
| | - Laura Heitsch
- Division of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, United States
- Department of Neurology, Washington University School of Medicine and Barnes-Jewish Hospital, St. Louis, MO, United States
| | - Lukas Holmegaard
- Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Katarina Jood
- Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Jordi Jimenez-Conde
- Department of Neurology, Neurovascular Research Group (NEUVAS), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Steven J. Kittner
- Department of Neurology, University of Maryland School of Medicine and Veterans Affairs Maryland Health Care System, Baltimore, MD, United States
| | - Robin Lemmens
- Department of Neurosciences, Experimental Neurology and Leuven Research Institute for Neuroscience and Disease (LIND), KU Leuven – University of Leuven, Leuven, Belgium
- VIB, Vesalius Research Center, Laboratory of Neurobiology, Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Christopher R. Levi
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia
- Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia
| | - Patrick F. McArdle
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Caitrin W. McDonough
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL, United States
| | - James F. Meschia
- Department of Neurology, Mayo Clinic, Jacksonville, FL, United States
| | - Chia-Ling Phuah
- Department of Neurology, Washington University School of Medicine and Barnes-Jewish Hospital, St. Louis, MO, United States
| | | | - Stefan Ropele
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University of Graz, Graz, Austria
| | - Jonathan Rosand
- Henry and Allison McCance Center for Brain Health, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Jaume Roquer
- Department of Neurology and Evelyn F. McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Tatjana Rundek
- Department of Neurology and Evelyn F. McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Ralph L. Sacco
- Department of Neurology and Evelyn F. McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Reinhold Schmidt
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University of Graz, Graz, Austria
| | - Pankaj Sharma
- Institute of Cardiovascular Research, Royal Holloway University of London (ICR2UL), Egham, United Kingdom
- Ashford and St. Peter’s Hospitals, Chertsey and Ashford, United Kingdom
| | - Agnieszka Slowik
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Alessandro Sousa
- Department of Neurology, University of Maryland School of Medicine and Veterans Affairs Maryland Health Care System, Baltimore, MD, United States
| | - Tara M. Stanne
- Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Daniel Strbian
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Helsinki University Central Hospital, Helsinki, Finland
| | - Turgut Tatlisumak
- Department of Clinica Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Vincent Thijs
- Stroke Division, Florey Institute of Neuroscience and Mental Health, Department of Neurology Austin Health, Heidelberg, VIC, Australia
| | - Achala Vagal
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Johan Wasselius
- Department of Clinical Sciences Lund, Radiology, Lund University, Lund, Sweden
- Department of Radiology, Neuroradiology, Skåne University Hospital, Malmö, Sweden
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Ona Wu
- A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Ramin Zand
- Department of Neurology, Geisinger, Danville, PA, United States
| | - Bradford B. Worrall
- Department of Neurology and Public Health Sciences, University of Virginia, Charlottesville, VA, United States
| | - Jane M. Maguire
- Faculty of Health, University of Technology Sydney, Ultimo, NSW, Australia
| | - Arne Lindgren
- Department of Neurology and Rehabilitation Medicine, Skåne University Hospital, Lund, Sweden
- Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden
| | - Christina Jern
- Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Polina Golland
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Grégory Kuchcinski
- Inserm, CHU Lille, U1172 - LilNCog (JPARC) - Lille Neurosciences and Cognition, University of Lille, Lille, France
| | - Natalia S. Rost
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States
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Llorente IL, Hatanaka EA, Meadow ME, Xie Y, Lowry WE, Carmichael ST. Reliable generation of glial enriched progenitors from human fibroblast-derived iPSCs. Stem Cell Res 2021; 55:102458. [PMID: 34274773 PMCID: PMC8444576 DOI: 10.1016/j.scr.2021.102458] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 05/06/2021] [Accepted: 07/05/2021] [Indexed: 12/15/2022] Open
Abstract
White matter stroke (WMS) occurs as small infarcts in deep penetrating blood vessels in the brain and affects the regions of the brain that carry connections, termed the subcortical white matter. WMS progresses over years and has devastating clinical consequences. Unlike large grey matter strokes, WMS disrupts the axonal architecture of the brain and depletes astrocytes, oligodendrocyte lineage cells, axons and myelinating cells, resulting in abnormalities of gait and executive function. An astrocytic cell-based therapy is positioned as a strong therapeutic candidate after WMS. In this study we report, the reliable generation of a novel stem cell-based therapeutic product, glial enriched progenitors (GEPs) derived from human induced pluripotent stem cells (hiPSCs). By transient treatment of hiPSC derived neural progenitors (hiPSC-NPCs) with the small molecule deferoxamine, a prolyl hydroxylase inhibitor, for three days hiPSC-NPCs become permanently biased towards an astrocytic fate, producing hiPSC-GEPs. In preparation for clinical application, we have developed qualification assays to ensure identity, safety, purity, and viability of the cells prior to manufacture. Using tailored q-RT-PCR-based assays, we have demonstrated the lack of pluripotency in our final therapeutic candidate cells (hiPSC-GEPs) and we have identified the unique genetic profile of hiPSC-GEPs that is clearly distinct from the parent lines, hiPSCs and iPSC-NPCs. After completion of the viability assay, we have stablished the therapeutic window of use for hiPSC-GEPs in future clinical applications (7 h). Lastly, we were able to reliably and consistently produce a safe therapeutic final product negative for contamination by any human or murine viral pathogens, selected bacteria, common laboratory mycoplasmas, growth of any aerobes, anaerobes, yeast, or fungi and 100 times less endotoxin levels than the maximum acceptable value. This study demonstrates the reliable and safe generation of patient derived hiPSC-GEPs that are clinically ready as a cell-based therapeutic approach for WMS.
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Affiliation(s)
- Irene L Llorente
- Department of Neurology, David Geffen School of Medicine at UCLA, USA
| | - Emily A Hatanaka
- Department of Molecular, Cell and Developmental Biology, UCLA, USA
| | - Michael E Meadow
- Department of Molecular, Cell and Developmental Biology, UCLA, USA
| | - Yuan Xie
- Department of Biochemistry and Molecular Biology, University of Chicago, USA
| | - William E Lowry
- Department of Molecular, Cell and Developmental Biology, UCLA, USA
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Rieu Z, Kim J, Kim REY, Lee M, Lee MK, Oh SW, Wang SM, Kim NY, Kang DW, Lim HK, Kim D. Semi-Supervised Learning in Medical MRI Segmentation: Brain Tissue with White Matter Hyperintensity Segmentation Using FLAIR MRI. Brain Sci 2021; 11:720. [PMID: 34071634 PMCID: PMC8228966 DOI: 10.3390/brainsci11060720] [Citation(s) in RCA: 4] [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: 03/31/2021] [Revised: 05/19/2021] [Accepted: 05/26/2021] [Indexed: 11/16/2022] Open
Abstract
White-matter hyperintensity (WMH) is a primary biomarker for small-vessel cerebrovascular disease, Alzheimer's disease (AD), and others. The association of WMH with brain structural changes has also recently been reported. Although fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) provide valuable information about WMH, FLAIR does not provide other normal tissue information. The multi-modal analysis of FLAIR and T1-weighted (T1w) MRI is thus desirable for WMH-related brain aging studies. In clinical settings, however, FLAIR is often the only available modality. In this study, we thus propose a semi-supervised learning method for full brain segmentation using FLAIR. The results of our proposed method were compared with the reference labels, which were obtained by FreeSurfer segmentation on T1w MRI. The relative volume difference between the two sets of results shows that our proposed method has high reliability. We further evaluated our proposed WMH segmentation by comparing the Dice similarity coefficients of the reference and the results of our proposed method. We believe our semi-supervised learning method has a great potential for use for other MRI sequences and will encourage others to perform brain tissue segmentation using MRI modalities other than T1w.
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Affiliation(s)
- ZunHyan Rieu
- Research Institute, NEUROPHET Inc., Seoul 06247, Korea; (Z.R.); (R.E.K.); (M.L.)
| | - JeeYoung Kim
- Department of Radiology, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06247, Korea; (J.K.); (S.W.O.)
| | - Regina EY Kim
- Research Institute, NEUROPHET Inc., Seoul 06247, Korea; (Z.R.); (R.E.K.); (M.L.)
| | - Minho Lee
- Research Institute, NEUROPHET Inc., Seoul 06247, Korea; (Z.R.); (R.E.K.); (M.L.)
| | - Min Kyoung Lee
- Department of Radiology, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06247, Korea;
| | - Se Won Oh
- Department of Radiology, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06247, Korea; (J.K.); (S.W.O.)
| | - Sheng-Min Wang
- Department of Psychiatry, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06247, Korea; (S.-M.W.); (N.-Y.K.)
| | - Nak-Young Kim
- Department of Psychiatry, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06247, Korea; (S.-M.W.); (N.-Y.K.)
| | - Dong Woo Kang
- Department of Psychiatry, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea;
| | - Hyun Kook Lim
- Department of Psychiatry, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06247, Korea; (S.-M.W.); (N.-Y.K.)
| | - Donghyeon Kim
- Research Institute, NEUROPHET Inc., Seoul 06247, Korea; (Z.R.); (R.E.K.); (M.L.)
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Cogswell PM, Weigand SD, Wiste HJ, Gunter JL, Graff-Radford J, Jones DT, Schwarz CG, Senjem ML, Knopman DS, Petersen RC, Jack CR. CSF dynamics as a predictor of cognitive progression. Neuroimage 2021; 232:117899. [PMID: 33631332 PMCID: PMC8237937 DOI: 10.1016/j.neuroimage.2021.117899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 02/17/2021] [Indexed: 11/25/2022] Open
Abstract
Disproportionately enlarged subarachnoid-space hydrocephalus (DESH), characterized by tight high convexity CSF spaces, ventriculomegaly, and enlarged Sylvian fissures, is thought to be an indirect marker of a CSF dynamics disorder. The clinical significance of DESH with regard to cognitive decline in a community setting is not yet well defined. The goal of this work is to determine if DESH is associated with cognitive decline. Participants in the population-based Mayo Clinic Study of Aging (MCSA) who met the following criteria were included: age ≥ 65 years, 3T MRI, and diagnosis of cognitively unimpaired or mild cognitive impairment at enrollment as well as at least one follow-up visit with cognitive testing. A support vector machine based method to detect the DESH imaging features on T1-weighted MRI was used to calculate a "DESH score", with positive scores indicating a more DESH-like imaging pattern. For the participants who were cognitively unimpaired at enrollment, a Cox proportional hazards model was fit with time defined as years from enrollment to first diagnosis of mild cognitive impairment or dementia, or as years to last known cognitively unimpaired diagnosis for those who did not progress. Linear mixed effects models were fit among all participants to estimate annual change in cognitive z scores for each domain (memory, attention, language, and visuospatial) and a global z score. For all models, covariates included age, sex, education, APOE genotype, cortical thickness, white matter hyperintensity volume, and total intracranial volume. The hazard of progression to cognitive impairment was an estimated 12% greater for a DESH score of +1 versus -1 (HR 1.12, 95% CI 0.97-1.31, p = 0.11). Global and attention cognition declined 0.015 (95% CI 0.005-0.025) and 0.016 (95% CI 0.005-0.028) z/year more, respectively, for a DESH score of +1 vs -1 (p = 0.01 and p = 0.02), with similar, though not statistically significant DESH effects in the other cognitive domains. Imaging features of disordered CSF dynamics are an independent predictor of subsequent cognitive decline in the MCSA, among other well-known factors including age, cortical thickness, and APOE status. Therefore, since DESH contributes to cognitive decline and is present in the general population, identifying individuals with DESH features may be important clinically as well as for selection in clinical trials.
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Affiliation(s)
- Petrice M Cogswell
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
| | - Stephen D Weigand
- Department of Health Sciences Research, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA
| | - Heather J Wiste
- Department of Health Sciences Research, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA
| | - Jeffrey L Gunter
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA; Department of Information Technology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA
| | | | - David T Jones
- Department of Neurology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA
| | | | - Matthew L Senjem
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA; Department of Information Technology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA
| | - David S Knopman
- Department of Neurology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA
| | - Ronald C Petersen
- Department of Health Sciences Research, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA; Department of Neurology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA
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Kaskikallio A, Karrasch M, Koikkalainen J, Lötjönen J, Rinne JO, Tuokkola T, Parkkola R, Grönholm-Nyman P. Effects of White Matter Hyperintensities on Verbal Fluency in Healthy Older Adults and MCI/AD. Front Aging Neurosci 2021; 13:614809. [PMID: 34025385 PMCID: PMC8134546 DOI: 10.3389/fnagi.2021.614809] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 03/25/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND White matter hyperintensities (WMHs) are markers for cerebrovascular pathology, which are frequently seen in patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD). Verbal fluency is often impaired especially in AD, but little research has been conducted concerning the specific effects of WMH on verbal fluency in MCI and AD. OBJECTIVE Our aim was to examine the relationship between WMH and verbal fluency in healthy old age and pathological aging (MCI/AD) using quantified MRI data. METHODS Measures for semantic and phonemic fluency as well as quantified MRI imaging data from a sample of 42 cognitively healthy older adults and 44 patients with MCI/AD (total n = 86) were utilized. Analyses were performed both using the total sample that contained seven left-handed/ambidextrous participants, as well with a sample containing only right-handed participants (n = 79) in order to guard against possible confounding effects regarding language lateralization. RESULTS After controlling for age and education and adjusting for multiple correction, WMH in the bilateral frontal and parieto-occipital areas as well as the right temporal area were associated with semantic fluency in cognitively healthy and MCI/AD patients but only in the models containing solely right-handed participants. CONCLUSION The results indicate that white matter pathology in both frontal and parieto-occipital cerebral areas may have associations with impaired semantic fluency in right-handed older adults. However, elevated levels of WMH do not seem to be associated with cumulative effects on verbal fluency impairment in patients with MCI or AD. Further studies on the subject are needed.
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Affiliation(s)
- Alar Kaskikallio
- Department of Psychology, Åbo Akademi University, Turku, Finland
| | - Mira Karrasch
- Department of Psychology, Åbo Akademi University, Turku, Finland
| | | | | | - Juha O. Rinne
- Turku PET-Centre, University of Turku, Turku, Finland
- Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland
| | | | - Riitta Parkkola
- Department of Radiology, University Hospital of Turku, Turku, Finland
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50
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Liu H, Liu J, Zhao H, Wang H. Association of brain white matter lesions with arterial stiffness assessed by cardio-ankle vascular index. The Beijing Vascular Disease Evaluation STudy (BEST). Brain Imaging Behav 2021; 15:1025-1032. [PMID: 33068268 DOI: 10.1007/s11682-020-00309-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Background-The association of brain white matter lesions with arterial stiffness, as assessed by the cardio-ankle vascular index, is not well characterized in the population. OBJECTIVE The aim of this study was to quantify the cross-sectional association of brain white matter lesions with arterial stiffness assessed by the cardio-ankle vascular index among 1176 adults. METHODS We used logistic regression to evaluate the associations of the cardio-ankle vascular index with brain white matter lesions, detected by computed tomography or magnetic resonance imaging, versus normal brain white matter. RESULTS After adjustment for age, sex, systolic blood pressure, blood lipid level, C reactive protein level, homocysteine level, uric acid level, urea nitrogen level, creatinine level, hypertension, diabetes, coronary artery disease, peripheral artery disease, and stroke, the multivariable analysis showed that age, sex, systolic blood pressure, stroke and the cardio-ankle vascular index were independently associated with the presence of brain white matter lesions. Age range (odds ratio: from 2.48 to 33.64, all p < 0.05) showed the strongest association, followed by stroke (odds ratio: 7.16, 95% confidence interval: 4.59 to 11.16), male sex (odds ratio: 1.80, 95% confidence interval: 1.18 to 2.75), cardio-ankle vascular index (odds ratio: 1.26, 95% confidence interval: 1.06 to 1.50) and systolic blood pressure (odds ratio: 1.01, 95% confidence interval: 1.00 to 1.02). CONCLUSION Higher arterial stiffness assessed by the cardio-ankle vascular index was associated with the presence of brain white matter lesions. Longitudinal characterization of the observed associations is warranted to assess whether arterial stiffness predicts brain white matter lesions.
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Affiliation(s)
- Huan Liu
- Vascular Medicine Center, Peking University Shougang Hospital, NO.9, Jinyuanzhuang Road, Shijingshan District, Beijing, 100144, China
| | - Jinbo Liu
- Vascular Medicine Center, Peking University Shougang Hospital, NO.9, Jinyuanzhuang Road, Shijingshan District, Beijing, 100144, China
| | - Hongwei Zhao
- Vascular Medicine Center, Peking University Shougang Hospital, NO.9, Jinyuanzhuang Road, Shijingshan District, Beijing, 100144, China
| | - Hongyu Wang
- Vascular Medicine Center, Peking University Shougang Hospital, NO.9, Jinyuanzhuang Road, Shijingshan District, Beijing, 100144, China.
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