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Sawyer RP, Worrall BB, Howard VJ, Crowe MG, Howard G, Hyacinth HI. Methods of a Study to Assess the Contribution of Cerebral Small Vessel Disease and Dementia Risk Alleles to Racial Disparities in Vascular Cognitive Impairment and Dementia. J Am Heart Assoc 2023; 12:e030925. [PMID: 37642037 PMCID: PMC10547311 DOI: 10.1161/jaha.123.030925] [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: 05/09/2023] [Accepted: 08/01/2023] [Indexed: 08/31/2023]
Abstract
Background Non-Hispanic Black adults have a higher proportion of vascular cognitive impairment and Alzheimer's disease and related dementias compared with non-Hispanic White adults that may be due to differences in the burden of cerebral small vessel disease and risk alleles for Alzheimer's disease and related dementias. We describe here the methods of an ancillary study to the REGARDS (Reason for Geographic and and Racial Difference in Stroke) study, which will examine the role of magnetic resonance imaging markers of cerebral small vessel disease and vascular as well as genetic risk factors for Alzheimer's disease and related dementias in racial disparity in the prevalence and trajectory of vascular cognitive impairment and dementia in non-Hispanic White and non-Hispanic Black participants. Methods In participants with no prior history of stroke who had an incident stroke or transient ischemic attack after enrollment in the study, magnetic resonance imaging scans will be evaluated using the Standards for Reporting Vascular Changes on Neuroimaging international consensus criteria and automated analysis pipelines for quantification of cerebral small vessel disease. Participants will be genotyped for APOE ε4 and TREM2 risk alleles for Alzheimer's disease and related dementias. The 6-item screener will define global cognitive function and be the primary cognitive outcome. Conclusions With at least 426 non-Hispanic Black and 463 non-Hispanic White participants who have at least 2 prior and 2 poststroke or transient ischemic attack cognitive assessments, we will have at least 80% power to detect a minimum effect size of 0.09 SD change in Z score, with correction for as many as 20 tests (ie, at P<0.0025, after adjusting for up to 20 covariates) for cognitive decline.
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Affiliation(s)
- Russell P. Sawyer
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiOHUSA
| | - Bradford B. Worrall
- Department of Neurology and Public Health SciencesUniversity of VirginiaCharlottesvilleVAUSA
| | - Virginia J. Howard
- Department of Epidemiology, School of Public HealthUniversity of Alabama at BirminghamBirminghamALUSA
| | - Michael G. Crowe
- Department of Psychology, College of Arts and SciencesUniversity of Alabama at BirminghamBirminghamALUSA
| | - George Howard
- Department of Biostatistics, School of Public HealthUniversity of Alabama at BirminghamBirminghamALUSA
| | - Hyacinth I. Hyacinth
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiOHUSA
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Correlation of Global and Regional Amyloid Burden by 18F-Florbetaben PET/CT With Cognitive Impairment Profile and Severity. Clin Nucl Med 2022; 47:923-930. [DOI: 10.1097/rlu.0000000000004370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Liu M, Li Q, Chen G, Su N, Zhou M, Liu X, Sun K. The value of mobile magnetic resonance imaging in early warning for stroke: A prospective case-control study. Front Neurosci 2022; 16:975217. [PMID: 36033625 PMCID: PMC9411978 DOI: 10.3389/fnins.2022.975217] [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: 06/22/2022] [Accepted: 07/27/2022] [Indexed: 11/23/2022] Open
Abstract
Aims To evaluate the predictive value of mobile magnetic resonance imaging (MRI) in screening stroke. Methods This was a prospective case-control study performed on healthy residents over 40 years old in remote rural areas of northern China between May 2019 and May 2020. Multivariate logistic regression and receiver operator characteristic curve (ROC) analysis were used to evaluate the screening model. Results A total of 1,224 patients (500 [40.8%] men) enrolled, including 56 patients who suffered from stroke (aged 64.05 ± 7.27). The individuals who developed stroke were significantly older (P < 0.001), had a significantly higher occurrence of heart disease (P = 0.015), diabetes (P = 0.005), dyslipidemia (P = 0.009), and significantly increased waist circumference (P = 0.02), systolic blood pressure (SBP) (P = 0.003), glycosylated hemoglobin (HbA1c) level (P = 0.007), triglyceride (TG) level (P = 0.025), low density lipoprotein cholesterol (LDL-c) level (P = 0.04), and homocysteine (HCY) level (P < 0.001). Multivariate logistic regression analysis showed that age (OR = 1.055, 95% CI: 1.017–1.094, P = 0.004), HCY (OR = 1.029, 95% CI: 1.012–1.047, P = 0.001) and mobile MRI (OR = 4.539, 95% CI: 1.726–11.939, P = 0.002) were independently associated with stroke. The area under the curve (AUC) of the combined model including national screening criteria, mobile MRI results, and stroke risk factors was 0.786 (95% CI: 0.721–0.851), with a sensitivity of 69.6% and specificity of 80.4%. Conclusion Mobile MRI can be used as a simple and easy means to screen stroke.
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Affiliation(s)
- Miaomiao Liu
- The Third People’s Hospital of Longgang District, Shenzhen, China
- Graduate School of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China
| | - Qingyang Li
- Department of Radiology, The First Clinical Medical College of Inner Mongolia Medical University, Huhhot, China
| | - Guoqiang Chen
- Department of Radiology, Baotou Central Hospital, Baotou, China
| | - Ning Su
- Department of Radiology, Baotou Central Hospital, Baotou, China
| | - Maorong Zhou
- Department of Radiology, Baotou Central Hospital, Baotou, China
| | - Xiaolin Liu
- Department of Radiology, Baotou Central Hospital, Baotou, China
| | - Kai Sun
- The Third People’s Hospital of Longgang District, Shenzhen, China
- *Correspondence: Kai Sun,
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Study on the Interaction between the Characteristics of Retinal Microangiopathy and Risk Factors for Cerebral Small Vessel Disease. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:9505945. [PMID: 35800241 PMCID: PMC9203197 DOI: 10.1155/2022/9505945] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/18/2022] [Accepted: 05/03/2022] [Indexed: 11/24/2022]
Abstract
Objective This study was designed to explore the characteristics of retinal microangiopathy in patients with cerebral small vessel disease (CSVD) and clarify its interaction with the risk factors for CSVD. Methods Sixty patients with CSVD and 15 healthy individuals were enrolled. Demographic data, risk factors, and medical history were recorded, and magnetic resonance imaging was performed to detect and analyze the characteristics of retinal microangiopathy in the two groups. The interaction among retinal microangiopathy, vascular risk factors, and total imaging load of CSVD was compared. Results (1) Hypertension, standard deviation of systolic blood pressure (SBPSD), standard deviation of blood glucose (SDBG), and atherogenic index of plasma (AIP) were independent vascular risk factors for CSVD. (2) Statistically significant differences in hypertension, SBPSD, SDBG, and AIP were observed between the two groups in terms of the total imaging burden of CSVD (p < 0.05). (3) Multivariate logistic linear regression showed that CSVD was associated with a wider central retinal vein equivalent (CRVE) (p = 0.015), a smaller arteriole-to-venule ratio (AVR) (p = 0.001), and a higher incidence of vessel tortuosity (p = 0.027). (4) When the total imaging burden of CSVD ranges from 0 to 4 points, the CRVE is larger, the AVR is smaller, and the incidence of vascular tortuosity is higher, with a statistically significant difference (p < 0.05). (5) The characteristics of retinal microangiopathy were correlated with hypertension, SBPSD, SDBG, and AIP (p < 0.05). (6) An association was observed between the characteristics of retinal microangiopathy and vascular risk factors and the total imaging burden of CSVD (p < 0.05). Conclusions (1) Hypertension, SBP variability, BG fluctuation, and AIP are independent vascular risk factors for CSVD. (2) Retinal microvessels are changed in patients with CSVD, and venous dilatation, decreased arteriovenous ratio, and vascular tortuosity are the main characteristics of the disease. (3) The characteristics of retinal microangiopathy are interactively correlated with the total imaging load and risk factors for CSVD and can be used as indicators of the severity of CSVD.
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Del Brutto OH, Mera RM, Costa AF, Rumbea DA, Recalde BY, Del Brutto VJ. Patterns of progression of cerebral small vessel disease markers in older adults of Amerindian ancestry: a population-based, longitudinal prospective cohort study. Aging Clin Exp Res 2022; 34:2751-2759. [PMID: 35999426 PMCID: PMC9398047 DOI: 10.1007/s40520-022-02223-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 08/07/2022] [Indexed: 01/04/2023]
Abstract
BACKGROUND Progression of cerebral small vessel disease (cSVD) markers has been studied in different races/ethnic groups. However, information from individuals of Amerindian ancestry is lacking. We sought to evaluate progression patterns of cSVD markers in community-dwelling older adults of Amerindian ancestry. METHODS Following a longitudinal prospective study design, participants of the Atahualpa Project Cohort aged ≥ 60 years received a baseline brain MRI and clinical interviews. Those who also received a brain MRI at the end of the study were included. Poisson regression models were fitted to assess cSVD markers progression according to their baseline load after a median follow-up of 6.5 ± 1.4 years. Logistic regression models were fitted to assess interrelations in the progression of the different cSVD markers at the end of the study. RESULTS The study included 263 individuals (mean age: 65.7 ± 6.2 years). Progression of white matter hyperintensities (WMH) was noticed in 103 (39%) subjects, cerebral microbleeds in 25 (12%), lacunes in 12 (5%), and enlarged basal ganglia-perivascular spaces (BG-PVS) in 56 (21%). Bivariate Poisson regression models showed significant associations between WMH severity at baseline and progression of WMH and enlarged BG-PVS. These associations became non-significant in multivariate models adjusted for clinical covariates. Logistic regression models showed interrelated progressions of WMH, cerebral microbleeds and enlarged BG-PVS. The progression of lacunes was independent. CONCLUSIONS Patterns of cSVD marker progression in this population of Amerindians are different than those reported in other races/ethnic groups. The independent progression of lacunes suggests different pathogenic mechanisms with other cSVD markers.
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Affiliation(s)
- Oscar H. Del Brutto
- School of Medicine and Research Center, Universidad Espíritu Santo–Ecuador, Urbanización Toscana, Apt 3H, Km 4.5 vía Puntilla-Samborondón, 092301 Samborondón, Ecuador
| | - Robertino M. Mera
- Biostatistics/Epidemiology, Freenome, Inc., South San Francisco, CA USA
| | - Aldo F. Costa
- Department of Neurology, Hospital Universitario Reina Sofía, Córdoba, Spain
| | - Denisse A. Rumbea
- School of Medicine and Research Center, Universidad Espíritu Santo–Ecuador, Urbanización Toscana, Apt 3H, Km 4.5 vía Puntilla-Samborondón, 092301 Samborondón, Ecuador
| | - Bettsy Y. Recalde
- School of Medicine and Research Center, Universidad Espíritu Santo–Ecuador, Urbanización Toscana, Apt 3H, Km 4.5 vía Puntilla-Samborondón, 092301 Samborondón, Ecuador
| | - Victor J. Del Brutto
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL USA
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Iribarren C, Chandra M, Molloi S, Sanchez G, Azamian-Bidgoli F, Cho HM, Ding H, Yaffe K. Breast Arterial Calcification Is Not Associated with Mild Cognitive Impairment or Incident All-Cause Dementia Among Postmenopausal Women: The MINERVA Study. J Womens Health (Larchmt) 2020; 30:848-856. [PMID: 33290145 DOI: 10.1089/jwh.2020.8372] [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: 11/12/2022] Open
Abstract
Background: Since vascular risk factors are implicated in cognitive decline, and breast arterial calcification (BAC) is related to vascular risk, we postulated that BAC may be associated with cognitive impairment and dementia. Methods: We used a multiethnic cohort of 3,913 asymptomatic women 60-79 years of age recruited after mammography screening at a large health plan in 2012-2015. A BAC mass score (mg) was derived from digital mammograms. Cognitive function was measured at baseline using the Montreal Cognitive Assessment (MoCA) and incident all-cause dementia (n = 49 events; median follow-up = 5.6 years) were ascertained with validated ICD-9 and ICD-10 codes. We used cross-sectional linear regression of MoCA scores on BAC, then multinomial logistic regression predicting mild cognitive impairment not progressing to dementia and incident all-cause dementia and, finally, Cox regression of incident all-cause dementia. Results: No association by linear regression was found between MoCA scores and BAC presence in unadjusted or adjusted analysis. Women with severe (upper tertile) BAC had a MoCA score lower by 0.58 points (standard error [SE] = 0.18) relative to women with no BAC. However, this difference disappeared after multivariate adjustment. No significant associations were found in multinomial logistic regression for either BAC presence or gradation in unadjusted or adjusted analysis. No significant associations were found between BAC presence with incident all-cause dementia (fully adjusted hazard ratio = 0.74; 95% confidence interval: 0.39-1.39). Likewise, no significant association with incident all-cause dementia was noted for BAC gradation. Conclusions: Our results do not support the hypothesis that BAC presence or gradation may contribute to cognitive impairment or development of all-cause dementia.
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Affiliation(s)
- Carlos Iribarren
- Kaiser Permanente Division of Research, Oakland, California, USA
| | - Malini Chandra
- Kaiser Permanente Division of Research, Oakland, California, USA
| | - Sabee Molloi
- Department of Radiological Sciences, University of California Irvine School of Medicine, Irvine, California, USA
| | - Gabriela Sanchez
- Kaiser Permanente Division of Research, Oakland, California, USA
| | - Fatemeh Azamian-Bidgoli
- Department of Radiological Sciences, University of California Irvine School of Medicine, Irvine, California, USA
| | - Hyo-Min Cho
- Safety Measurement Institute, Korea Research Institute of Standards and Science (KRISS), Daejeon, Republic of Korea
| | - Huanjun Ding
- Department of Radiological Sciences, University of California Irvine School of Medicine, Irvine, California, USA
| | - Kristine Yaffe
- Departments of Psychiatry and Neurology and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
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Cognitive Reserve Over the Lifespan: Neurocognitive Implications for Aging With HIV. J Assoc Nurses AIDS Care 2020; 30:e109-e121. [PMID: 30865059 DOI: 10.1097/jnc.0000000000000071] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Approximately 59% of adults living with HIV experience HIV-associated neurocognitive disorder, a collection of symptoms and cognitive deficits in various cognitive domains. As the HIV population ages, the prevalence and severity of such cognitive deficits are expected to grow. Understanding how these cognitive deficits manifest is important for nurses and health care providers. This article provides an overview of cognitive reserve and evidence of how it is compromised by HIV, aging, and individual characteristics. Within this context of cognitive reserve, the role of neuroinflammation, neurotoxicity, substance use, comorbidities, depression and anxiety, social isolation, and sedentary lifestyle is reviewed. From this, strategies used to address cognitive deficits are provided, including topics such as psychostimulants, cognitive training, multimodal lifestyle interventions, and compensation strategies. Scenarios of successful and unsuccessful cognitive aging are presented to provide a lifespan perspective of cognitive reserve. Implications for clinical practice and research are provided, as it relates to aging.
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Zsoldos E, Mahmood A, Filippini N, Suri S, Heise V, Griffanti L, Mackay CE, Singh-Manoux A, Kivimäki M, Ebmeier KP. Association of midlife stroke risk with structural brain integrity and memory performance at older ages: a longitudinal cohort study. Brain Commun 2020; 2:fcaa026. [PMID: 32954286 PMCID: PMC7491431 DOI: 10.1093/braincomms/fcaa026] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 01/23/2020] [Accepted: 03/03/2020] [Indexed: 01/13/2023] Open
Abstract
Cardiovascular health in midlife is an established risk factor for cognitive function later in life. Knowing mechanisms of this association may allow preventative steps to be taken to preserve brain health and cognitive performance in older age. In this study, we investigated the association of the Framingham stroke-risk score, a validated multifactorial predictor of 10-year risk of stroke, with brain measures and cognitive performance in stroke-free individuals. We used a large (N = 800) longitudinal cohort of community-dwelling adults of the Whitehall II imaging sub-study with no obvious structural brain abnormalities, who had Framingham stroke risk measured five times between 1991 and 2013 and MRI measures of structural integrity, and cognitive function performed between 2012 and 2016 [baseline mean age 47.9 (5.2) years, range 39.7-62.7 years; MRI mean age 69.81 (5.2) years, range 60.3-84.6 years; 80.6% men]. Unadjusted linear associations were assessed between the Framingham stroke-risk score in each wave and voxelwise grey matter density, fractional anisotropy and mean diffusivity at follow-up. These analyses were repeated including socio-demographic confounders as well as stroke risk in previous waves to examine the effect of residual risk acquired between waves. Finally, we used structural equation modelling to assess whether stroke risk negatively affects cognitive performance via specific brain measures. Higher unadjusted stroke risk measured at each of the five waves over 20 years prior to the MRI scan was associated with lower voxelwise grey and white matter measures. After adjusting for socio-demographic variables, higher stroke risk from 1991 to 2009 was associated with lower grey matter volume in the medial temporal lobe. Higher stroke risk from 1997 to 2013 was associated with lower fractional anisotropy along the corpus callosum. In addition, higher stroke risk from 2012 to 2013, sequentially adjusted for risk measured in 1991-94, 1997-98 and 2002-04 (i.e. 'residual risks' acquired from the time of these examinations onwards), was associated with widespread lower fractional anisotropy, and lower grey matter volume in sub-neocortical structures. Structural equation modelling suggested that such reductions in brain integrity were associated with cognitive impairment. These findings highlight the importance of considering cerebrovascular health in midlife as important for brain integrity and cognitive function later in life (ClinicalTrials.gov Identifier: NCT03335696).
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Affiliation(s)
- Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
| | - Abda Mahmood
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
| | - Nicola Filippini
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
| | - Sana Suri
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
| | - Verena Heise
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
- Nuffield Department of Population Health, University of Oxford, Big Data Institute, Oxford OX3 7LF, UK
| | - Ludovica Griffanti
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
| | - Clare E Mackay
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
| | - Archana Singh-Manoux
- Department of Epidemiology and Public Health, University College London, London WC1E 7HB, UK
- INSERM, U1153, Epidemiology of Ageing and Neurodegenerative diseases, Université de Paris, Paris, France
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London WC1E 7HB, UK
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
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Pelcher I, Puzo C, Tripodis Y, Aparicio HJ, Steinberg EG, Phelps A, Martin B, Palmisano JN, Vassey E, Lindbergh C, McKee AC, Stein TD, Killiany RJ, Au R, Kowall NW, Stern RA, Mez J, Alosco ML. Revised Framingham Stroke Risk Profile: Association with Cognitive Status and MRI-Derived Volumetric Measures. J Alzheimers Dis 2020; 78:1393-1408. [PMID: 33164933 PMCID: PMC7887636 DOI: 10.3233/jad-200803] [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] [Indexed: 12/16/2022]
Abstract
BACKGROUND The Framingham Stroke Risk Profile (FSRP) was created in 1991 to estimate 10-year risk of stroke. It was revised in 2017 (rFSRP) to reflect the modern data on vascular risk factors and stroke risk. OBJECTIVE This study examined the association between the rFSRP and cognitive and brain aging outcomes among participants from the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS). METHODS Cross-sectional rFSRP was computed at baseline for 19,309 participants (mean age = 72.84, SD = 8.48) from the NACC-UDS [9,697 (50.2%) normal cognition, 4,705 (24.4%) MCI, 4,907 (25.4%) dementia]. Multivariable linear, logistic, or ordinal regressions examined the association between the rFSRP and diagnostic status, neuropsychological test performance, CDR® Sum of Boxes, as well as total brain volume (TBV), hippocampal volume (HCV), and log-transformed white matter hyperintensities (WMH) for an MRI subset (n = 1,196). Models controlled for age, sex, education, racial identity, APOEɛ4 status, and estimated intracranial volume for MRI models. RESULTS The mean rFSRP probability was 10.42% (min = 0.50%, max = 95.71%). Higher rFSRP scores corresponded to greater CDR Sum of Boxes (β= 0.02, p = 0.028) and worse performance on: Trail Making Test A (β= 0.05, p < 0.001) and B (β= 0.057, p < 0.001), and Digit Symbol (β= -0.058, p < 0.001). Higher rFSRP scores were associated with increased odds for a greater volume of log-transformed WMH (OR = 1.02 per quartile, p = 0.015). No associations were observed for diagnosis, episodic memory or language test scores, HCV, or TBV. CONCLUSION These results support the rFSRP as a useful metric to facilitate clinical research on the associations between cerebrovascular disease and cognitive and brain aging.
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Affiliation(s)
- Isabelle Pelcher
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
| | - Christian Puzo
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Hugo J. Aparicio
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs
- Framingham Heart Study, National Heart, Lung, and Blood
| | - Eric G. Steinberg
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
| | - Alyssa Phelps
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
| | - Brett Martin
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA
| | - Joseph N. Palmisano
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA
| | - Elizabeth Vassey
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
| | - Cutter Lindbergh
- Department of Neurology, University of California, San Francisco
| | - Ann C. McKee
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs
- Departments of Pathology and Laboratory Medicine, Boston University School of Medicine
- Department of Veterans Affairs Medical Center, Bedford, MA
| | - Thor D. Stein
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs
- Framingham Heart Study, National Heart, Lung, and Blood
- Departments of Pathology and Laboratory Medicine, Boston University School of Medicine
- Department of Veterans Affairs Medical Center, Bedford, MA
| | - Ronald J. Killiany
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
- Department of Anatomy & Neurobiology, Boston University School of Medicine
| | - Rhoda Au
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
- Framingham Heart Study, National Heart, Lung, and Blood
- Department of Anatomy & Neurobiology, Boston University School of Medicine
- Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Neil W. Kowall
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs
| | - Robert A. Stern
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
- Department of Anatomy & Neurobiology, Boston University School of Medicine
- Department of Neurosurgery, Boston University School of Medicine, Boston, MA
| | - Jesse Mez
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
| | - Michael L. Alosco
- Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA
- Department of Neurology, Boston University School of Medicine, Boston, MA
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Liu R, Chen H, Qin R, Gu Y, Chen X, Zou J, Jiang Y, Li W, Bai F, Zhang B, Wang X, Xu Y. The Altered Reconfiguration Pattern of Brain Modular Architecture Regulates Cognitive Function in Cerebral Small Vessel Disease. Front Neurol 2019; 10:324. [PMID: 31024423 PMCID: PMC6461194 DOI: 10.3389/fneur.2019.00324] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Accepted: 03/15/2019] [Indexed: 12/03/2022] Open
Abstract
Background: Cerebral small vessel disease (SVD) is a common cause of cognitive dysfunction. However, little is known whether the altered reconfiguration pattern of brain modular architecture regulates cognitive dysfunction in SVD. Methods: We recruited 25 cases of SVD without cognitive impairment (SVD-NCI) and 24 cases of SVD with mild cognitive impairment (SVD-MCI). According to the Framingham Stroke Risk Profile, healthy controls (HC) were divided into 17 subjects (HC-low risk) and 19 subjects (HC-high risk). All individuals underwent resting-state functional magnetic resonance imaging and cognitive assessments. Graph-theoretical analysis was used to explore alterations in the modular organization of functional brain networks. Multiple regression and mediation analyses were performed to investigate the relationship between MRI markers, network metrics and cognitive performance. Results: We identified four modules corresponding to the default mode network (DMN), executive control network (ECN), sensorimotor network and visual network. With increasing vascular risk factors, the inter- and intranetwork compensation of the ECN and a relatively reserved DMN itself were observed in individuals at high risk for SVD. With declining cognitive ability, SVD-MCI showed a disrupted ECN intranetwork and increased DMN connection. Furthermore, the intermodule connectivity of the right inferior frontal gyrus of the ECN mediated the relationship between periventricular white matter hyperintensities and visuospatial processing in SVD-MCI. Conclusions: The reconfiguration pattern of the modular architecture within/between the DMN and ECN advances our understanding of the neural underpinning in response to vascular risk and SVD burden. These observations may provide novel insight into the underlying neural mechanism of SVD-related cognitive impairment and may serve as a potential non-invasive biomarker to predict and monitor disease progression.
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Affiliation(s)
- Renyuan Liu
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Haifeng Chen
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Ruomeng Qin
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Yucheng Gu
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Xin Chen
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Junhui Zou
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - YongCheng Jiang
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Weikai Li
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Feng Bai
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Bing Zhang
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Xiaoying Wang
- Departments of Neurology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, United States
| | - Yun Xu
- Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China
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11
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Williams OA, An Y, Beason-Held L, Huo Y, Ferrucci L, Landman BA, Resnick SM. Vascular burden and APOE ε4 are associated with white matter microstructural decline in cognitively normal older adults. Neuroimage 2019; 188:572-583. [PMID: 30557663 PMCID: PMC6601608 DOI: 10.1016/j.neuroimage.2018.12.009] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 11/20/2018] [Accepted: 12/04/2018] [Indexed: 11/27/2022] Open
Abstract
White matter microstructure can be measured with diffusion tensor imaging (DTI). While increasing age is a predictor of white matter (WM) microstructure changes, roles of other possible modifiers, such as cardiovascular risk factors, APOE ε4 allele status and biological sex have not been clarified. We investigated 665 cognitively normal participants from the Baltimore Longitudinal Study of Aging (age 50-95, 56.7% female) with a total of 1384 DTI scans. WM microstructure was assessed by fractional anisotropy (FA) and mean diffusivity (MD). A vascular burden score was defined as the sum of five risk factors (hypertension, obesity, elevated cholesterol, diabetes and smoking status). Linear mixed effects models assessed the association of baseline vascular burden on baseline and on rates of change of FA and MD over a mean follow-up of 3.6 years, while controlling for age, race, and scanner type. We also compared DTI trajectories in APOE ε4 carriers vs. non-carriers and men vs. women. At baseline, higher vascular burden was associated with lower FA and higher MD in many WM structures including association, commissural, and projection fibers. Higher baseline vascular burden was also associated with greater longitudinal decline in FA in the hippocampal part of the cingulum and the fornix (crus)/stria terminalis and splenium of the corpus callosum, and with greater increases in MD in the splenium of the corpus callosum. APOE ε4 carriers did not differ from non-carriers in baseline DTI metrics but had greater decline in FA in the genu and splenium of the corpus callosum. Men had higher FA and lower MD in multiple WM regions at baseline but showed greater increase in MD in the genu of the corpus callosum. Women showed greater decreases over time in FA in the gyrus part of the cingulum, compared to men. Our findings show that modifiable vascular risk factors (1) have a negative impact on white matter microstructure and (2) are associated with faster microstructural deterioration of temporal WM regions and the splenium of the corpus callosum in cognitively normal adults. Reducing vascular burden in aging could modify the rate of WM deterioration and could decrease age-related cognitive decline and impairment.
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Affiliation(s)
- Owen A Williams
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD 21224, USA.
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD 21224, USA
| | - Lori Beason-Held
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD 21224, USA
| | - Yuankai Huo
- School of Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Bennett A Landman
- School of Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD 21224, USA.
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12
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Zhang Y, Wu R, Gu C, Gao F, Hu X, Zang P, Dong T. A study on role and mechanism of TLR4/NF-κB pathway in cognitive impairment induced by cerebral small vascular disease. Clin Hemorheol Microcirc 2019; 72:201-210. [PMID: 30689560 DOI: 10.3233/ch-180515] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To investigate the role and potential mechanism of Toll-like receptor 4 (TLR4)/nuclear factor-kappa B (NF-κB) signaling pathway in cognitive impairment induced by cerebral small vascular disease (CSVD), so as to provide a reference for the clinical treatment of CSVD-induced cognitive impairment. METHODS Mice with TLR4 gene knockout (n = 20) and those with wild-type TLR4 gene (n = 40) aged 8-10 weeks old were divided into blank control group (Control group, n = 20), wild-type + CSVD group (WT + CSVD group, n = 20) and TLR4 gene knockout + CSVD group (TLR4 KO + CSVD group, n = 20). Allogeneic thrombosis (particle diameter: 50-70 mm) was injected to the mouse's external carotid artery to create a model of learning and memory dysfunction. Step-down test and Y-type maze test were utilized to examine the learning and memory abilities of the mice. Reverse transcription-polymerase chain reaction (RT-PCR) and immunoblotting techniques were adopted to measure the levels of apoptosis-related genes [B-cell lymphoma/leukemia-2 (Bcl-2), Bcl-2-associated X protein (Bax), C-caspase-3 and T-caspase-3] in the brain tissues of mice. Terminal dexynucleotidyl transferase (TdT)-mediated dUTP nick end labeling (TUNEL) method was applied to detect the apoptosis of neuronal cells in the brain tissues. Meanwhile, the levels of oxidative stress markers, including superoxide dismutase (SOD), gp91 and malondialdehyde (MDA), were measured. Finally, the expression level of TLR4/NF-κB pathway was detected. RESULTS The latency in the step-down test in the WT + CSVD group was remarkably longer than that in the Control group, and the number of errors was evidently larger than that in the Control group (p < 0.05). At the same time, in the WT + CSVD group, the expression levels of pro-apoptotic genes Bax and C-caspase-3 were up-regulated markedly, while the expression level of anti-apoptotic gene Bcl-2 declined notably (p < 0.05). TUNEL results showed that the number of apoptotic cells in the brain tissues in the WT + CSVD group was about 12 times that in the Control group (p < 0.05). Meanwhile, the SOD expression level was lowered, and the MDA expression level was elevated in the brain tissues in the WT + CSVD group. In addition, the TLR4/NF-κB pathway was prominently activated in the mice in the WT + CSVD group (p < 0.05). After TLR4 gene knockout, the cognitive functions of the mice were improved markedly, and the apoptosis of neuronal cells and oxidative stress in the brain tissues were suppressed significantly in the meantime. Moreover, the activation of the TLR4/NF-κB signaling pathway was also inhibited. CONCLUSION The TLR4/NF-κB pathway is involved in the occurrence and development of CSVD-induced cognitive impairment through regulating oxidative stress and cell apoptosis.
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Affiliation(s)
- Yi Zhang
- Department of Neurology, Gansu Provincial Hospital, Lanzhou, Gansu, China
| | - Ruipeng Wu
- Department of Neurology, Gansu Provincial Hospital, Lanzhou, Gansu, China
| | - Cheng Gu
- Department of Neurology, Gansu Provincial Hospital, Lanzhou, Gansu, China
| | - Fulin Gao
- Department of Neurology, Gansu Provincial Hospital, Lanzhou, Gansu, China
| | - Xiaojuan Hu
- Department of Neurology, Gansu Provincial Hospital, Lanzhou, Gansu, China
| | - Peixi Zang
- Department of Neurology, Gansu Provincial Hospital, Lanzhou, Gansu, China
| | - Tong Dong
- Department of Neurology, Gansu Provincial Hospital, Lanzhou, Gansu, China
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13
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Cipolla MJ, Liebeskind DS, Chan SL. The importance of comorbidities in ischemic stroke: Impact of hypertension on the cerebral circulation. J Cereb Blood Flow Metab 2018; 38:2129-2149. [PMID: 30198826 PMCID: PMC6282213 DOI: 10.1177/0271678x18800589] [Citation(s) in RCA: 187] [Impact Index Per Article: 31.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Comorbidities are a hallmark of stroke that both increase the incidence of stroke and worsen outcome. Hypertension is prevalent in the stroke population and the most important modifiable risk factor for stroke. Hypertensive disorders promote stroke through increased shear stress, endothelial dysfunction, and large artery stiffness that transmits pulsatile flow to the cerebral microcirculation. Hypertension also promotes cerebral small vessel disease through several mechanisms, including hypoperfusion, diminished autoregulatory capacity and localized increase in blood-brain barrier permeability. Preeclampsia, a hypertensive disorder of pregnancy, also increases the risk of stroke 4-5-fold compared to normal pregnancy that predisposes women to early-onset cognitive impairment. In this review, we highlight how comorbidities and concomitant disorders are not only risk factors for ischemic stroke, but alter the response to acute ischemia. We focus on hypertension as a comorbidity and its effects on the cerebral circulation that alters the pathophysiology of ischemic stroke and should be considered in guiding future therapeutic strategies.
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Affiliation(s)
- Marilyn J Cipolla
- 1 Department of Neurological Sciences, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - David S Liebeskind
- 2 Neurovascular Imaging Research Core and Stroke Center, Department of Neurology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Siu-Lung Chan
- 1 Department of Neurological Sciences, University of Vermont Larner College of Medicine, Burlington, VT, USA
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14
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Boyano I, Ramos A, López-Alvarez J, Mendoza-Rebolledo C, Osa-Ruiz E, Rodríguez I, Pérez A, Alfayate E, González B, Fernández L, Agüera-Ortiz L, Rábano A, Olazarán J. Cerebral Microbleeds in Advanced Dementia: Clinical and Pathological Correlates. Am J Alzheimers Dis Other Demen 2018; 33:362-372. [PMID: 29734821 PMCID: PMC10852440 DOI: 10.1177/1533317518770783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE We conducted a longitudinal study to explore the clinical and pathological correlates of cerebral microbleeds (CMBs) in institutionalized patients with dementia. METHODS Clinical and magnetic resonance imaging (MRI) data were extracted from 182 nursing home patients (mean age [standard deviation]: 81.3 [6.9], 78.0% female, and 83.4% moderate to severe dementia), which were divided according to the CMBs number and location. One-year follow-up data were obtained from 153 patients, and postmortem pathological diagnosis was available in 40 patients. RESULTS Cerebral microbleeds were observed in 42.9% of patients and were associated with MRI ischemic lesions ( P < .0005). In the adjusted analysis, lobar CMB predicted worsening of parkinsonism (standardized β: 0.43) and gait (standardized β: 0.24). A pathological diagnosis of Alzheimer's disease was less frequent in the brains of patients with lobar and deep CMB (33.3% vs 85.3%; P < .05). CONCLUSION Cerebral microbleeds were linked to cerebrovascular disease and predicted motor deterioration in institutionalized people with advanced dementia.
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Affiliation(s)
| | - Ana Ramos
- Alzheimer’s Center Reina Sofía Foundation—CIEN Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain
- University Hospital 12 de Octubre, Madrid, Spain
| | - Jorge López-Alvarez
- Alzheimer’s Center Reina Sofía Foundation—CIEN Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain
- University Hospital 12 de Octubre, Madrid, Spain
| | - Carolina Mendoza-Rebolledo
- Alzheimer’s Center Reina Sofía Foundation—CIEN Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain
| | - Emma Osa-Ruiz
- Alzheimer’s Center Reina Sofía Foundation—CIEN Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain
| | - Irene Rodríguez
- Alzheimer’s Center Reina Sofía Foundation—CIEN Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain
| | - Almudena Pérez
- Alzheimer’s Center Reina Sofía Foundation—CIEN Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain
| | - Eva Alfayate
- Alzheimer’s Center Reina Sofía Foundation—CIEN Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain
| | - Belén González
- Alzheimer’s Center Reina Sofía Foundation—CIEN Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain
| | - Laura Fernández
- Alzheimer’s Center Reina Sofía Foundation—CIEN Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain
| | - Luis Agüera-Ortiz
- Alzheimer’s Center Reina Sofía Foundation—CIEN Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain
- University Hospital 12 de Octubre, Madrid, Spain
- CIBERSAM, Barcelona, Spain
| | - Alberto Rábano
- Alzheimer’s Center Reina Sofía Foundation—CIEN Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain
| | - Javier Olazarán
- Alzheimer’s Center Reina Sofía Foundation—CIEN Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain
- University Hospital Gregorio Marañón, Madrid, Spain
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15
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Wei W, Chen Y, Lei D, Zhang Y, Weng X, Zhou Y, Zhang L. Plasma brain natriuretic peptide is a biomarker for screening ischemic cerebral small vessel disease in patients with hypertension. Medicine (Baltimore) 2018; 97:e12088. [PMID: 30170428 PMCID: PMC6392776 DOI: 10.1097/md.0000000000012088] [Citation(s) in RCA: 6] [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: 06/16/2018] [Accepted: 08/02/2018] [Indexed: 11/26/2022] Open
Abstract
Plasma brain natriuretic peptide (BNP), a diagnostic marker of cardiovascular diseases, has been previously linked to cerebrovascular diseases. Our goal was to determine whether plasma BNP level is helpful for identifying high-risk individuals who are likely to present with the 3 main subtypes of cerebral small vessel diseases (CSVDs), namely, white matter lesions, lacunar infarcts, and cerebral microbleeds, on magnetic resonance imaging (MRI) in patients with hypertension.Three hundred forty-six consecutive hypertensive patients presenting at our cardiology or neurology clinic were investigated. Plasma BNP level was measured by chemiluminescent microparticle immunoassay. The presence of CSVD was assessed by 1.5-T brain MRI. Multivariate linear regression was used to determine whether individual or combined MRI-defined CSVD subtypes were associated with BNP level, after adjustment for several covariates.The mean age of patients was 69.1 ± 9.8 years, and 44.2% were female. The highest quartile BNP group was positively associated with advanced age, female sex, clinically manifesting cardiac diseases, and ischemic CSVD (white matter lesions and lacunar infarcts) and no association with cerebral microbleeds. According to multivariate linear regression, white matter lesions [β = 0.722; 95% confidence interval (95% CI), 0.624-0.819] and lacunar infarcts (β = 0.635; 95% CI, 0.508-0.762) were independently associated with BNP level, even after controlling for vascular risk factors and clinically manifesting cardiac diseases. Combined white matter lesions and lacunar infarcts were more strongly associated with BNP level than each subtype alone. With the cutoff value of 106.4 pg/mL, BNP level had a sensitivity, a specificity, and an area under the curve of 95.2%, 64.9%, and 0.799, respectively, for white matter lesions, whereas the values were 143.0 pg/mL, 81.6%, 73.5%, and 0.848, respectively, for lacunar infarcts.Plasma BNP level, which is independently correlated with individual or combined white matter lesions and lacunar infarcts, is a useful molecular marker for identifying ischemic CSVD in patients with hypertension.
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Affiliation(s)
- Weimin Wei
- Department of Cardiology, The First Affiliated Hospital of Guangdong Pharmaceutical University
- Department of Neurology, Zengcheng People's Hospital (Boji-Affiliated Hospital of Sun Yat-sen University)
| | - Yan Chen
- School of Clinical Medicine, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou
| | - Da Lei
- Department of Cardiology, The First Affiliated Hospital of Guangdong Pharmaceutical University
| | - Yanan Zhang
- Veterinary medicine, Northeast Agricultural University, Haerbin, China
| | - Xiuhong Weng
- Department of Cardiology, The First Affiliated Hospital of Guangdong Pharmaceutical University
| | - Yuliang Zhou
- Department of Cardiology, The First Affiliated Hospital of Guangdong Pharmaceutical University
| | - Li Zhang
- Department of Cardiology, The First Affiliated Hospital of Guangdong Pharmaceutical University
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16
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Semplicini A. Searching cerebrovascular risk indicators for hypertensive patients: Is Framingham Stroke Risk Profile “the magic bullet”? J Clin Hypertens (Greenwich) 2018; 20:246-247. [DOI: 10.1111/jch.13176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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