1
|
Melgarejo JD, Gurel K, Compton CR, Liu M, Guzman V, Assuras S, Levin BE, Elkind MSV, Ikram MK, Kavousi M, Ikram MA, Wright C, Crivello F, Laurent A, Tzourio C, Vernooij MW, Rundek T, Zhang Z, Bos D, Gutierrez J. Brain artery diameters and risk of dementia and stroke. Alzheimers Dement 2024; 20:2497-2507. [PMID: 38332543 PMCID: PMC11032539 DOI: 10.1002/alz.13712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 02/10/2024]
Abstract
INTRODUCTION We tested the association of brain artery diameters with dementia and stroke risk in three distinct population-based studies using conventional T2-weighted brain magnetic resonance imaging (MRI) images. METHODS We included 8420 adults > 40 years old from three longitudinal population-based studies with brain MRI scans. We estimated and meta-analyzed the hazard ratios (HRs) of the brain and carotids and basilar diameters associated with dementia and stroke. RESULT Overall and carotid artery diameters > 95th percentile increased the risk for dementia by 1.74 (95% confidence interval [CI], 1.13-2.68) and 1.48 (95% CI, 1.12-1.96) fold, respectively. For stroke, meta-analyses yielded HRs of 1.59 (95% CI, 1.04-2.42) for overall arteries and 2.11 (95% CI, 1.45-3.08) for basilar artery diameters > 95th percentile. DISCUSSION Individuals with dilated brain arteries are at higher risk for dementia and stroke, across distinct populations. Our findings underline the potential value of T2-weighted brain MRI-based brain diameter assessment in estimating the risk of dementia and stroke.
Collapse
Affiliation(s)
- Jesus D. Melgarejo
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Studies Coordinating CentreResearch Unit Hypertension and Cardiovascular EpidemiologyKU Leuven Department of Cardiovascular SciencesUniversity of LeuvenLeuvenBelgium
- Institute of NeuroscienceUniversity of Texas Rio Grande ValleyHarlingenTexasUSA
| | - Kursat Gurel
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Cassidy Rose Compton
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Minghua Liu
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Vanessa Guzman
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Stephanie Assuras
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Bonnie E. Levin
- Department of NeurologyMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Mitchell S. V. Elkind
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public Health Columbia UniversityNew YorkNew YorkUSA
| | - M. Kamran Ikram
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Department of NeurologyErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Maryam Kavousi
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
| | - M. Arfan Ikram
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Clinton Wright
- National Institute of Neurological Disorders and StrokeNational Institutes of HealthBethesdaMarylandUSA
| | - Fabrice Crivello
- Institute of Neurodegenerative DiseasesUMR5293, Neurofunctional Imaging GroupBordeauxFrance
| | - Alexandre Laurent
- Institute of Neurodegenerative DiseasesUMR5293, Neurofunctional Imaging GroupBordeauxFrance
| | - Christophe Tzourio
- Bordeaux Population Health Research CenterInserm, University BordeauxBordeauxFrance
| | - Meike W. Vernooij
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Department of Radiology and Nuclear MedicineErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Tatjana Rundek
- Department of Public Health Sciences and Evelyn F. McKnight Brain InstituteMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Zhen‐Yu Zhang
- Studies Coordinating CentreResearch Unit Hypertension and Cardiovascular EpidemiologyKU Leuven Department of Cardiovascular SciencesUniversity of LeuvenLeuvenBelgium
| | - Daniel Bos
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Studies Coordinating CentreResearch Unit Hypertension and Cardiovascular EpidemiologyKU Leuven Department of Cardiovascular SciencesUniversity of LeuvenLeuvenBelgium
- Department of Radiology and Nuclear MedicineErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Jose Gutierrez
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| |
Collapse
|
2
|
Akhtar N, Singh R, Kamran S, Joseph S, Morgan D, Uy RT, Treit S, Shuaib A. Association between serum triglycerides and stroke type, severity, and prognosis. Analysis in 6558 patients. BMC Neurol 2024; 24:88. [PMID: 38443844 PMCID: PMC10913234 DOI: 10.1186/s12883-024-03572-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 02/15/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Hypertriglyceridemia (HT) may increase the risk of stroke. Limited studies have shown that stroke severity and infarction size are smaller in patients with HT. We explored the relationship between triglyceride levels and stroke risk factors, severity and outcome in a large prospective database. DESIGN Prospective Cross-sectional study. SETTING We retrospectively interrogated the Qatar Stroke Database in all patients admitted between 2014-2022 with acute ischemic stroke and evaluated the relationship between triglyceride, diabetes, stroke severity (measured on NIHSS), stroke type (TOAST classification) and the short- (mRS at 90 days) and long-term outcomes (MACE at 1 year) in patients with HT. PARTICIPANTS Six thousand five hundred fifty-eight patients ≥20 years were included in this study RESULTS: Six thousand five hundred fifty-eight patients with ischemic stroke [mean age 54.6 ± 12. 9; male 82.1%) were included. Triglyceride levels upon admission were low-normal (≤1.1 mmol/L) in 2019 patients, high-normal (1.2-1.7 mmol/L) in 2142 patients, borderline-high (1.8-2.2 mmol/L) in 1072 patients and high (≥2.3 mmol/L) in 1325 patients. Higher triglyceride levels were associated with stroke and increased likelihood of having diabetes, obesity, active smoking, and small vessel/lacunar stroke type. An inverse relationship was noted whereby higher triglyceride levels were associated with lower stroke severity and reduced likelihood of poorer outcome (mRS 3-6) at discharge and 90 days. Long-term MACE events were less frequent in patients with higher triglyceride levels. After adjusting age, gender, diabetes, prior stroke, CAD, and obesity, multivariate analysis showed that hypertension and triglyceride levels were higher in mild ischemic strokes patients. CONCLUSIONS Increasing triglycerides are associated with higher risk of small vessel disease and requires further prospective cohort studies for confirmation.
Collapse
Affiliation(s)
- Naveed Akhtar
- Hamad Medical Corporation, Neurology, North Tower, Doha, Qatar
| | - Rajvir Singh
- Hamad Medical Corporation, Neurology, North Tower, Doha, Qatar
| | - Saadat Kamran
- Hamad Medical Corporation, Neurology, North Tower, Doha, Qatar
| | - Sujatha Joseph
- Hamad Medical Corporation, Neurology, North Tower, Doha, Qatar
| | - Deborah Morgan
- Hamad Medical Corporation, Neurology, North Tower, Doha, Qatar
| | - Ryan Ty Uy
- Hamad Medical Corporation, Neurology, North Tower, Doha, Qatar
| | - Sarah Treit
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Ashfaq Shuaib
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
| |
Collapse
|
3
|
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. Alzheimers Dement (Amst) 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] [What about the content of this article? (0)] [Affiliation(s)] [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.
Collapse
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
| | | |
Collapse
|
4
|
Chen N, Jiang F, Chen X, Zhu L, Qiao N, Zhou J, Zhang Y. Associations of Lipoprotein(a) Level with Cerebral Small Vessel Disease in Patients with Alzheimer's Disease. Brain Sci 2023; 14:34. [PMID: 38248249 PMCID: PMC10813431 DOI: 10.3390/brainsci14010034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/25/2023] [Accepted: 12/27/2023] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND This study aimed to examine the association of lipoprotein(a) [Lp(a)] level with the burden of cerebral small vessel disease (CSVD) in patients with Alzheimer's disease (AD). METHODS Data from 111 consecutive patients with AD admitted to Nanjing First Hospital from 2015 to 2022 were retrospectively analyzed in this study. Serum Lp(a) concentrations were grouped into tertiles (T1-T3). Brain magnetic resonance imaging (MRI) was rated for the presence of CSVD, including enlarged perivascular spaces (EPVS), lacunes, white-matter lesions, and cerebral microbleeds (CMBs). The CSVD burden was calculated by summing the scores of each MRI marker at baseline. A binary or ordinal logistic regression model was used to estimate the relationship of serum Lp(a) levels with CSVD burden and each MRI marker. RESULTS Patients with higher tertiles of Lp(a) levels were less likely to have any CSVD (T1, 94.6%; T2, 78.4%; T3, 66.2%; p = 0.013). Multivariable analysis found that Lp(a) levels were inversely associated with the presence of CSVD (T2 vs. T1: adjusted odds ratio [aOR] 0.132, 95% confidence interval [CI] 0.018-0.946, p = 0.044; T3 vs. T1: aOR 0.109, 95% CI 0.016-0.737, p = 0.023) and CSVD burden (T3 vs. T1: aOR 0.576, 95% CI 0.362-0.915, p = 0.019). The independent relationship between Lp(a) levels and individual CSVD features was significant for moderate-to-severe EPVS in the centrum semiovale (T2 vs. T1: aOR 0.059, 95% CI 0.006-0.542, p = 0.012; T3 vs. T1: aOR 0.029, 95% CI 0.003-0.273, p = 0.002) and CMBs (T3 vs. T1: aOR 0.144, 95% CI 0.029-0.716, p = 0.018). CONCLUSIONS In this study, serum Lp(a) level was inversely associated with CSVD in AD patients.
Collapse
Affiliation(s)
- Nihong Chen
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China; (N.C.); (X.C.); (L.Z.); (J.Z.)
- Department of Neurology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing 210039, China;
| | - Fuping Jiang
- Department of Geriatrics, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China;
| | - Xiangliang Chen
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China; (N.C.); (X.C.); (L.Z.); (J.Z.)
| | - Lin Zhu
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China; (N.C.); (X.C.); (L.Z.); (J.Z.)
| | - Na Qiao
- Department of Neurology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing 210039, China;
| | - Junshan Zhou
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China; (N.C.); (X.C.); (L.Z.); (J.Z.)
| | - Yingdong Zhang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China; (N.C.); (X.C.); (L.Z.); (J.Z.)
| |
Collapse
|
5
|
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] [What about the content of this article? (0)] [Affiliation(s)] [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.
Collapse
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.
| |
Collapse
|
6
|
Liu Y, Yuan C, Chen X, Fang X, Hao J, Zhou M, Sun X, Wu M, Wang Z. Association of Plasma Lipids with White Matter Hyperintensities in Patients with Acute Ischemic Stroke. Int J Gen Med 2023; 16:5405-5415. [PMID: 38021054 PMCID: PMC10676100 DOI: 10.2147/ijgm.s440655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 11/13/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose White matter hyperintensities (WMH) are the common marker of cerebral small vessel disease (CSVD). Dyslipidemia plays a notable role in the pathogenesis of CSVD. However, the relationship between dyslipidemia and WMH is poorly elucidated. This study aims to investigate the association between serum lipid fractions and WMH in patients with acute ischemic stroke (AIS). Patients and Methods A total of 901 patients with AIS were included in this study. The burden of WMH, including deep white matter hyperintensities (DWMH), periventricular white matter hyperintensities (PVWMH), and total WMH load, were evaluated on magnetic resonance imaging (MRI) by the Fazekas scale. All the WMH burden were set as dichotomous variables. Serum levels of triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c), and high-density lipoprotein cholesterol (HDL-c) were collected. The association of serum lipid fractions with WMH burden was analyzed using univariate and multivariate logistic regression models. Results The average age of the participants was 67.6±11.6 years, and 584 cases (64.8%) were male. About 33.5% (n = 302) patients were smoker, and 23.5% (n = 212) patients had a history of alcohol consumption. The proportion of previous diabetes, ischemic cardiomyopathy and hypertension was 39.0% (n = 351), 21.2% (n = 191) and 75.9% (n = 684), respectively. The average of serum HDL-c, TC, TG, LDL-c levels for all participants were 1.26 ± 0.28 mmol/l, 4.54 ± 1.06 mmol/l, 1.67 ± 1.09 mmol/l, 3.08 ± 0.94 mmol/l. There were no statistical associations between HDL-c, TG, TC, LDL-c and each type of WMH burden (P > 0.05) in multivariate logistic regression analysis. Similar findings were found in subgroup analysis based on gender classification. Conclusion Serum lipid levels were not associated with the presence of any type of WMH in patients with AIS.
Collapse
Affiliation(s)
- Yongkang Liu
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Cuiping Yuan
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Xiao Chen
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Xiaokun Fang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Jingru Hao
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Maodong Zhou
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Xin Sun
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Minghua Wu
- Department of Encephalopathy Center, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Zhongqiu Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| |
Collapse
|
7
|
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 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] [What about the content of this article? (0)] [Affiliation(s)] [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.
Collapse
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
| | | |
Collapse
|
8
|
Inoue Y, Shue F, Bu G, Kanekiyo T. Pathophysiology and probable etiology of cerebral small vessel disease in vascular dementia and Alzheimer's disease. Mol Neurodegener 2023; 18:46. [PMID: 37434208 PMCID: PMC10334598 DOI: 10.1186/s13024-023-00640-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 06/28/2023] [Indexed: 07/13/2023] Open
Abstract
Vascular cognitive impairment and dementia (VCID) is commonly caused by vascular injuries in cerebral large and small vessels and is a key driver of age-related cognitive decline. Severe VCID includes post-stroke dementia, subcortical ischemic vascular dementia, multi-infarct dementia, and mixed dementia. While VCID is acknowledged as the second most common form of dementia after Alzheimer's disease (AD) accounting for 20% of dementia cases, VCID and AD frequently coexist. In VCID, cerebral small vessel disease (cSVD) often affects arterioles, capillaries, and venules, where arteriolosclerosis and cerebral amyloid angiopathy (CAA) are major pathologies. White matter hyperintensities, recent small subcortical infarcts, lacunes of presumed vascular origin, enlarged perivascular space, microbleeds, and brain atrophy are neuroimaging hallmarks of cSVD. The current primary approach to cSVD treatment is to control vascular risk factors such as hypertension, dyslipidemia, diabetes, and smoking. However, causal therapeutic strategies have not been established partly due to the heterogeneous pathogenesis of cSVD. In this review, we summarize the pathophysiology of cSVD and discuss the probable etiological pathways by focusing on hypoperfusion/hypoxia, blood-brain barriers (BBB) dysregulation, brain fluid drainage disturbances, and vascular inflammation to define potential diagnostic and therapeutic targets for cSVD.
Collapse
Affiliation(s)
- Yasuteru Inoue
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Francis Shue
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Guojun Bu
- SciNeuro Pharmaceuticals, Rockville, MD 20850 USA
| | - Takahisa Kanekiyo
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| |
Collapse
|
9
|
Hwang DDJ, Lee KE, Kim Y, Kim MS, Rim TH, Kim M, Kim H, Kyoung DS, Park JI. Incidence of Retinal Artery Occlusion and Related Mortality in Korea, 2005 to 2018. JAMA Netw Open 2023; 6:e233068. [PMID: 36897587 DOI: 10.1001/jamanetworkopen.2023.3068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/11/2023] Open
Abstract
IMPORTANCE It remains unclear whether comorbidities in patients with retinal artery occlusion (RAO), a rare retinal vascular disorder, differ by subtype and whether mortality is higher. OBJECTIVE To examine the nationwide incidence of clinically diagnosed, nonarteritic RAO, causes of death, and mortality rate in patients with RAO compared with that in the general population in Korea. DESIGN, SETTING, AND PARTICIPANTS This retrospective, population-based cohort study examined National Health Insurance Service claims data from 2002 to 2018. The population of South Korea was 49 705 663, according to the 2015 census. Data were analyzed from February 9, 2021, to July 30, 2022. MAIN OUTCOMES AND MEASURES The nationwide incidence of any RAO, including central RAO (CRAO; International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] code, H34.1) and noncentral RAO (other RAO; ICD-10 code, H34.2) was estimated using National Health Insurance Service claims data from 2002 to 2018, with 2002 to 2004 as the washout period. Furthermore, the causes of death were evaluated and the standardized mortality ratio was estimated. The primary outcomes were the incidence of RAO per 100 000 person-years and the standardized mortality ratio (SMR). RESULTS A total of 51 326 patients with RAO were identified (28 857 [56.2%] men; mean [SD] age at index date: 63.6 [14.1] years). The nationwide incidence of any RAO was 7.38 (95% CI, 7.32-7.44) per 100 000 person-years. The incidence rate of noncentral RAO was 5.12 (95% CI, 5.07-5.18), more than twice that of CRAO (2.25 [95% CI, 2.22-2.29]). Mortality was higher in patients with any RAO than in the general population (SMR, 7.33 [95% CI, 7.15-7.50]). The SMR for CRAO (9.95 [95% CI, 9.61-10.29]) and for noncentral RAO (5.97 [95% CI, 5.78-6.16]) showed a tendency toward a gradual decrease with increasing age. The top 3 causes of death in patients with RAO were diseases of the circulatory system (28.8%), neoplasms (25.1%), and diseases of the respiratory system (10.2%). CONCLUSIONS AND RELEVANCE This cohort study found that the incidence rate of noncentral RAO was higher than that of CRAO, whereas SMR was higher for CRAO than noncentral RAO. Patients with RAO show higher mortality than the general population, with circulatory system disease as the leading cause of death. These findings suggest that it is necessary to investigate the risk of cardiovascular or cerebrovascular disease in patients newly diagnosed with RAO.
Collapse
Affiliation(s)
- Daniel Duck-Jin Hwang
- Department of Ophthalmology, Hangil Eye Hospital, Incheon, Korea
- Department of Ophthalmology, Catholic Kwandong University College of Medicine, Incheon, Korea
| | | | - Yuwon Kim
- Data Science Team, Evidnet Co Ltd, Seoul, Korea
| | | | | | - Mina Kim
- Data Science Team, Hanmi Pharm Co Ltd, Seoul, Korea
| | - Hasung Kim
- Data Science Team, Hanmi Pharm Co Ltd, Seoul, Korea
| | | | - Ji In Park
- Department of Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Gangwon-do, Korea
| |
Collapse
|
10
|
Li Y, Laukka EJ, Dekhtyar S, Papenberg G, Speh A, Fratiglioni L, Kalpouzos G, Qiu C. Association Between Behavioral, Biological, and Genetic Markers of Cardiovascular Health and MRI Markers of Brain Aging: A Cohort Study. Neurology 2023; 100:e38-e48. [PMID: 36319110 PMCID: PMC9827130 DOI: 10.1212/wnl.0000000000201346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 08/19/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND AND OBJECTIVE The life's simple 7 approach was proposed to define cardiovascular health (CVH) metrics. We sought to investigate the associations between behavioral, biological, and genetic markers for CVH and vascular brain aging in older adults. METHODS This population-based cohort study included participants who had repeated brain MRI measures from 2001 to 2003 to 2007-2010 (i.e., count of perivascular spaces, volumes of white matter hyperintensity [WMH] and gray matter, and lacunes). At baseline, global, behavioral, and biological CVH metrics were defined and scored following the life's simple 7 approach and categorized into unfavorable, intermediate, and favorable profiles according to tertiles. The metabolic genetic risk score was calculated by counting 15 risk alleles associated with hypertension, diabetes, or dyslipidemia. Data were analyzed using linear mixed-effects and Cox proportional hazards models, adjusting for age, sex, and education. RESULTS The study sample consisted of 317 participants (age 60 years or older; 61.8% women). Favorable and intermediate (vs unfavorable) global CVH profiles were related to slower WMH progression, with β-coefficients (95% CI) being -0.019(-0.035-0.002) and -0.018(-0.034-0.001), respectively. Favorable and intermediate (vs unfavorable) biological CVH profiles were significantly related to slower WMH increase only in people aged 60-72 years. CVH profiles were not related to progression of other brain measures. Furthermore, a higher metabolic genetic risk score (range: 6-21) was associated with faster WMH increase (β-coefficient = 0.005; 95% CI: 0.003-0.008). There were statistical interactions of metabolic genetic risk score with global and behavioral CVH profiles on WMH accumulation. A higher metabolic genetic risk score was related to faster WMH accumulation, with β-coefficients being 0.015(0.007-0.023), 0.005(0.001-0.009), and 0.003(-0.001 to 0.006) among people with unfavorable, intermediate, and favorable global CVH profiles, respectively; the corresponding β-coefficients were 0.013(0.006-0.020), 0.006(0.003-0.009), and 0.002(-0.002 to 0.006) among people with unfavorable, intermediate, and favorable behavioral CVH profiles. DISCUSSION Intermediate to favorable global CVH profiles in older adults are associated with slower vascular brain aging. The association of metabolic genetic risk load with accelerated vascular brain aging was evident among people with unfavorable to intermediate, but not favorable, CVH profiles. These findings highlight the importance of adhering to favorable CVH profiles, especially healthy behaviors, in vascular brain health.
Collapse
Affiliation(s)
- Yuanjing Li
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Erika J Laukka
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Serhiy Dekhtyar
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Goran Papenberg
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Andreja Speh
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Laura Fratiglioni
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Grégoria Kalpouzos
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia
| | - Chengxuan Qiu
- From the Aging Research Center (Y.L., E.J.L., S.D., G.P., A.S., L.F., G.K., C.Q.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center (E.J.L., L.F.), Stockholm, Sweden; Department of Neurology (A.S.), University Medical Center Ljubljana, Ljubljana, Slovenia; and Medical Faculty (A.S.), University of Ljubljana, Ljubljana, Slovenia.
| |
Collapse
|
11
|
Cui Y, Huang H, Gao J, Jiang T, Zhang C, Yu S. Mapping blood traits to structural organization of the brain in rhesus monkeys. Cereb Cortex 2022; 33:247-257. [PMID: 35253862 DOI: 10.1093/cercor/bhac065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 01/29/2022] [Accepted: 01/31/2022] [Indexed: 01/17/2023] Open
Abstract
Hematological and biochemical blood traits have been linked to brain structural characteristics in humans. However, the relationship between these two domains has not been systematically explored in nonhuman primates, which are crucial animal models for understanding the mechanisms of brain function and developing therapeutics for various disorders. Here we investigated the associations between hematological/biochemical parameters and the brain's gray matter volume and white matter integrity derived from T1-weighted and diffusion magnetic resonance imaging in 36 healthy macaques. We found that intersubject variations in basophil count and hemoglobin levels correlated with gray matter volumes in the anterior cingulum, prefrontal cortex, and putamen. Through interactions between these key elements, the blood parameters' covariation network was linked with that of the brain structures, forming overarching networks connecting blood traits with structural brain features. These networks exhibited hierarchical small-world architecture, indicating highly effective interactions between their constituent elements. In addition, different subnetworks of the brain areas or fiber tracts tended to correlate with unique groups of blood indices, revealing previously unknown brain structural organization. These results provide a quantitative characterization of the interactions between blood parameters and brain structures in macaques and may increase the understanding of the body-brain relationship and the pathogenesis of relevant disorders.
Collapse
Affiliation(s)
- Yue Cui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haibin Huang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinquan Gao
- Model R&D Center, Life Biosciences Company Limited, Beijing 100176, China.,Technology Management Center, SAFE Pharmaceutical Technology Company Limited, Beijing 100176, China
| | - Tianzi Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.,Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Chen Zhang
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Shan Yu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
12
|
Wu J, Gao Y, Malik V, Gao X, Shan R, Lv J, Ning Y, Wang B, Li L. Prevalence and risk factors of MRI-defined brain infarcts among Chinese adults. Front Neurol 2022; 13:967077. [PMID: 36313518 PMCID: PMC9597681 DOI: 10.3389/fneur.2022.967077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 09/20/2022] [Indexed: 11/24/2022] Open
Abstract
Background Few studies have explored the prevalence and risk factors of brain infarcts (BI) detected by magnetic resonance imaging (MRI) in China. The purpose was to evaluate the prevalence and risk factors of brain infarcts (BI) detected by magnetic resonance imaging (MRI) in 1.4 million Chinese adults. Methods This was a multicenter cross-sectional study conducted on 1,431,527 participants aged ≥18 years (mean age: 46.4 years) who underwent MRI scans in health examinations from 28 provinces of China in 2018. MRI-defined BI was defined as focal parenchymal lesions ≥3 mm. Multivariable logistic regression analyses were performed to evaluate risk factors associated with MRI-defined BI. Results The age- and sex-standardized prevalence of MRI-defined BI, lacunar and non-lacunar infarcts were 5.79% (5.75–5.83%), 4.56% (4.52–4.60%), and 1.23% (1.21–1.25%), respectively. The sex-standardized prevalence of MRI-defined BI ranged from 0.46% among those aged 18–29 years to 37.33% among those aged ≥80 years. Men (6.30%) had a higher age-standardized prevalence of MRI-defined BI than women (5.28%). The highest age- and sex-standardized prevalence of MRI-defined BI was observed in the Northwest (8.34%) and Northeast (8.02%) regions, while the lowest prevalence was observed in the Southwest (4.02%). A higher risk of MRI-defined BI was associated with being male [odd ratio (OR) 1.17, 95% CI 1.15–1.19], older age (OR per 10-year increments 2.33, 2.31–2.35), overweight (1.12, 1.10–1.14) or obesity (1.18, 1.16–1.21), hypertension (1.80, 1.77–1.83), diabetes (1.24, 1.21–1.26), and dyslipidemia (1.07, 1.05–1.08). Conclusion MRI-defined BI is highly prevalent in China, even among young adults. MRI-defined BI was associated with being male, older age, living in the northern region, and metabolic conditions.
Collapse
Affiliation(s)
- Jing Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | | | - Vasanti Malik
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Xiang Gao
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, State College, PA, United States
| | - Ruiqi Shan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Meinian Public Health Institute, Peking University Health Science Center, Beijing, China
| | - Yi Ning
- Meinian Institute of Health, Beijing, China
- School of Public Health, Hainan Medical University, Haikou, China
- Yi Ning
| | - Bo Wang
- Meinian Institute of Health, Beijing, China
- Meinian Public Health Institute, Peking University Health Science Center, Beijing, China
- Bo Wang
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Meinian Public Health Institute, Peking University Health Science Center, Beijing, China
- *Correspondence: Liming Li
| |
Collapse
|
13
|
Liu X, Sun P, Yang J, Fan Y. Biomarkers involved in the pathogenesis of cerebral small-vessel disease. Front Neurol 2022; 13:969185. [PMID: 36119691 PMCID: PMC9475115 DOI: 10.3389/fneur.2022.969185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
Cerebral small-vessel disease (CSVD) has been found to have a strong association with vascular cognitive impairment (VCI) and functional loss in elderly patients. At present, the diagnosis of CSVD mainly relies on brain neuroimaging markers, but they cannot fully reflect the overall picture of the disease. Currently, some biomarkers were found to be related to CSVD, but the underlying mechanisms remain unclear. We aimed to systematically review and summarize studies on the progress of biomarkers related to the pathogenesis of CSVD, which is mainly the relationship between these indicators and neuroimaging markers of CSVD. Concerning the pathophysiological mechanism of CSVD, the biomarkers of CSVD have been described as several categories related to sporadic and genetic factors. Monitoring of biomarkers might contribute to the early diagnosis and progression prediction of CSVD, thus providing ideas for better diagnosis and treatment of CSVD.
Collapse
|
14
|
Liu D, Cai X, Yang Y, Wang S, Yao D, Mei L, Jing J, Li S, Yan H, Meng X, Li H, Wei T, Wang Y, Pan Y, Wang Y. Associations of Life's Simple 7 With Cerebral Small Vessel Disease. Stroke 2022; 53:2859-2867. [PMID: 35975667 DOI: 10.1161/strokeaha.122.038838] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The purpose of this study is to examine the associations of Life's Simple 7 (LS7) with risks of cerebral small vessel disease (CSVD) and its magnetic resonance imaging markers. METHODS Community-dwelling residents in Lishui city in China from the cross-sectional survey of the PRECISE study (Polyvascular Evaluation for Cognitive Impairment and Vascular Events) were included in this study from 2017 to 2019. LS7 was analyzed as the total score, medical score (derived from the 3 metrics based on medical history and testing), and behavioral score (based on 4 metrics based on behaviors), and categorized as poor, intermediate, or ideal. A CSVD score or a modified CSVD score was derived from 4 magnetic resonance imaging markers (lacunes, microbleeds, perivascular spaces, and white matter hyperintensity) at baseline. Binary logistic regression or ordinal logistic regression model was used to estimate the relationship of LS7 scores with CSVD and magnetic resonance imaging markers. RESULTS A total of 3061 participants were included in this study. Compared with poor total LS7 score, ideal LS7 total score was associated with reduced adjusted odds of higher CSVD score (common odds ratio [cOR], 0.73 [95% CI, 0.58-0.90]) and higher modified CSVD score (cOR, 0.78 [95% CI, 0.64-0.95]). Compared with poor LS7 medical score, ideal LS7 medical score was associated with reduced adjusted odds of higher CSVD score (cOR, 0.65 [95% CI, 0.53-0.80]) and higher modified CSVD score (cOR, 0.67 [95% CI, 0.56-0.81]). Higher total LS7 score and LS7 medical score were associated with a lower risk of white matter hyperintensities and lacunes. Higher LS7 behavioral score was associated with lower risk of lacunes. CONCLUSIONS Ideal LS7 score, indicating excellent cardiovascular health, was associated with lower total CSVD burden. Optimizing the risk factors captured by LS7 may reduce the progression of CSVD.
Collapse
Affiliation(s)
- Dandan Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, China (X.C., S.W.)
| | - Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Suying Wang
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, China (X.C., S.W.)
- Cerebrovascular Research Laboratory, Lishui Hospital, Zhejiang University School of Medicine, China (S.W., L.M.)
| | - Dongxiao Yao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Lerong Mei
- Cerebrovascular Research Laboratory, Lishui Hospital, Zhejiang University School of Medicine, China (S.W., L.M.)
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | | | - Hongyi Yan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, China (T.W.)
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China (Yongjun Wang)
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- China National Clinical Research Center for Neurological Diseases, Beijing (D.L., Y.Y., D.Y., J.J., H.Y., X.M., H.L., Yongjun Wang, Y.P., Yilong Wang)
- Chinese Institute for Brain Research, Beijing (Yilong Wang)
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, China (Yilong Wang)
| |
Collapse
|
15
|
Pan Y, Cai X, Jing J, Wang S, Meng X, Mei L, Yang Y, Jin A, DongXiao Y, Li S, Li H, Wei T, Wang Y, Wang Y. Differential associations of lipoprotein(a) level with cerebral large artery and small vessel diseases. Stroke Vasc Neurol 2022; 7:svn-2022-001625. [PMID: 35851316 PMCID: PMC9811597 DOI: 10.1136/svn-2022-001625] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 07/05/2022] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND AND PURPOSE Cerebral large artery and small vessel diseases are related to different pathogenetic mechanisms and have different risk factor profile. Lipoprotein(a) (Lp(a)) was shown to promote atherosclerosis but data was limited on its association with cerebral small vessel diseases (cSVD). The objective of this study was to assess the associations of Lp(a) level with the two types of cerebrovascular diseases. METHODS Community-dwelling subjects aged 50-75 years from the baseline survey of The PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events study were included. Lp(a) concentrations was measured and categorised into three groups according to the tertiles. Eligible participants were scanned by a 3.0T MRI scanner and assessed for intracranial atherosclerosis and cSVD burden based on four imaging markers. RESULTS This study included 3059 subjects. The average age of the participants was 61.2±6.7 years, and 53.5% (1636) were female. Compared with the first tertile, subjects with the second and third tertiles of Lp(a) concentrations were associated with an increased odds of presence of intracranial plaque (18.7% vs 15.4%, adj.OR 1.37, 95% CI 1.08 to 1.75; 18.9% vs 15.4%, adj.OR 1.34, 95% CI 1.05 to 1.72). Similar associations were observed for intracranial atherosclerotic burden. Whereas, subjects with the third tertile of Lp(a) level had a decreased odds of presence of cSVD (25.9% vs 31.7%, adj.OR 0.74, 95% CI 0.60 to 0.92) and lower cSVD burden (adj.cOR 0.76, 95% CI 0.62 to 0.94). CONCLUSIONS In this study, Lp(a) concentrations were positively associated with presence and burden of intracranial atherosclerosis, but was inversely associated with cSVD. TRIAL REGISTRATION NUMBER NCT03178448.
Collapse
Affiliation(s)
- Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Suying Wang
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Lerong Mei
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Yao DongXiao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
| | - Tiemin Wei
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| |
Collapse
|
16
|
Huang CC, Chou KH, Lee WJ, Yang AC, Tsai SJ, Chen LK, Chung CP, Lin CP. Brain white matter hyperintensities-predicted age reflects neurovascular health in middle-to-old aged subjects. Age Ageing 2022; 51:6583203. [PMID: 35536881 DOI: 10.1093/ageing/afac106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 02/26/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND age-related neurovascular structural and functional impairment is a major aetiology of dementia and stroke in older people. There is no single marker representative of neurovascular biological age yet. OBJECTIVE this study aims to develop and validate a white matter hyperintensities (WMH)-based model for characterising individuals' neurovascular biological age. METHODS in this prospective single-site study, the WMH-based age-prediction model was constructed based on WMH volumes of 491 healthy participants (21-89 years). In the training dataset, the constructed linear-regression model with log-transformed WMH volumes showed well-balanced complexity and accuracy (root mean squared error, RMSE = 10.20 and mean absolute error, MAE = 7.76 years). This model of neurovascular age estimation was then applied to a middle-to-old aged testing dataset (n = 726, 50-92 years) as the testing dataset for external validation. RESULTS the established age estimator also had comparable generalizability with the testing dataset (RMSE = 7.76 and MAE = 6.38 years). In the testing dataset, the WMH-predicted age difference was negatively associated with visual executive function. Individuals with older predicted-age for their chronological age had greater cardiovascular burden and cardiovascular disease risks than individuals with normal or delayed predicted age. These associations were independent of chronological age. CONCLUSIONS our model is easy to use in clinical practice that helps to evaluate WMH severity objective to chronological age. Current findings support our WMH-based age measurement to reflect neurovascular health and have potential diagnostic and prognostic value for clinical or research purposes in age-related neurovascular disorders.
Collapse
Affiliation(s)
- Chu-Chung Huang
- Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
- Shanghai Changning Mental Health Center, Shanghai, China
| | - Kun-Hsien Chou
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Wei-Ju Lee
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Family Medicine, Yuanshan Branch, Taipei Veterans General Hospital, Yi-Lan, Taiwan
| | - Albert C Yang
- Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, USA
- Institute of Brain Science, National Yang-Ming Chiao Tung University, Taipei, Taiwan
| | - Shih-Jen Tsai
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
- Division of Psychiatry, School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
| | - Liang-Kung Chen
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
- Taipei Municipal Gan-Dau Hospital (Managed by Taipei Veterans General Hospital), Taipei, Taiwan
| | - Chih-Ping Chung
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
| |
Collapse
|
17
|
Liu Y, Han Y, Guan M, Cai Y, Wang W, Chen H, Zhao X. Added value of femoral artery atherosclerosis for determining severity of white matter lesion by carotid atherosclerosis: a magnetic resonance imaging study. Acta Radiol 2021; 62:1112-1121. [PMID: 32811157 DOI: 10.1177/0284185120950106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Previous studies reported that single vascular atherosclerosis was an effective indicator for white matter lesions (WMLs). PURPOSE To investigate the added value of femoral atherosclerosis for determining severity of WMLs by carotid atherosclerosis using three-dimensional vessel wall magnetic resonance imaging (MRI). MATERIAL AND METHODS Elderly individuals without cardiovascular symptoms within the previous six months were recruited. The plaque features of carotid and femoral arteries were evaluated and compared between individuals with WML score ≤ 3 and those with WML score > 3. Logistic regression and receiver operating characteristic (ROC) analyses were used to determine the value of plaque features in discriminating WMLs with score > 3. RESULTS In total, 112 individuals (49 men, mean age 72.0±5.6 years) were included. Participants with a WML score > 3 showed a significantly greater carotid wall area and femoral artery stenosis and higher incidence of carotid calcification and femoral artery calcification and lipid-rich necrotic cores (LRNC) compared to those with a WML score ≤ 3 (all P < 0.05). Carotid artery calcification and femoral artery calcification, LRNC, and stenosis were found to be significantly associated with severe WMLs before and after adjustment for clinical factors (odds ratio 1.51-3.79, all P < 0.05). ROC analysis showed, in discriminating severe WMLs, the area under the curve increased from 0.615 to 0.754 after combining femoral artery LRNC and stenosis with carotid calcification compared to the carotid calcification alone. CONCLUSION Characteristics of femoral artery atherosclerosis determined by vessel wall MRI have added value for carotid atherosclerosis in determining the severity of WMLs.
Collapse
Affiliation(s)
- Yang Liu
- Department of Radiology, The Affiliated Hospital of Yangzhou University, Yangzhou, PR China
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, PR China
| | - Yongjun Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, PR China
- Center for Brain Disorders Research, Capital Medical University and Beijing Institute for Brain Disorders, Beijing, PR China
| | - Maobin Guan
- Department of Radiology, The Affiliated Hospital of Yangzhou University, Yangzhou, PR China
| | - Ying Cai
- Department of Radiology, Taizhou People’s Hospital, Taizhou, PR China
| | - Wei Wang
- Department of Radiology, The Affiliated Hospital of Yangzhou University, Yangzhou, PR China
| | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, PR China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, PR China
| |
Collapse
|
18
|
Roskal-Wałek J, Wałek P, Biskup M, Odrobina D, Mackiewicz J, Głuszek S, Wożakowska-Kapłon B. Central and Branch Retinal Artery Occlusion-Do They Harbor the Same Risk of Further Ischemic Events? J Clin Med 2021; 10:jcm10143093. [PMID: 34300257 PMCID: PMC8307136 DOI: 10.3390/jcm10143093] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/05/2021] [Accepted: 07/08/2021] [Indexed: 12/22/2022] Open
Abstract
Purpose: Retinal artery occlusion (RAO) is associated with an increased risk of cardiovascular events such as ischemic stroke and myocardial infarction, but whether different RAO subtypes such as central retinal artery occlusion (CRAO) or branch retinal artery occlusion (BRAO) carry similar risk of these events is unclear. Our aim was to determine whether the risk of cardiovascular events differs between CRAO and BRAO. Methods: This single-center, retrospective study included 131 patients hospitalized in our clinic in 2010–2020 with CRAO or BRAO confirmed by ophthalmic examination. Data on demographics, previous ischemic stroke and myocardial infarction, comorbidities, the results of echocardiographic and ultrasound carotid artery examinations and laboratory tests were assessed. Data on ischemic stroke, myocardial infarction, and all-cause mortality occurring after RAO were obtained from the Polish National Health Service, which collects data on all publicly funded hospitalizations. Using these data, Kaplan-Meier analyses and Cox proportional hazard regression were performed. Results: Ischemic stroke occurred in 9.9% of patients after RAO: 10.6% in the CRAO group and 8.1% in the BRAO group (p = 0.662). Myocardial infarction occurred in 2.3% of patients after RAO: 2.1% in the CRAO group and 2.7% in the BRAO group (p = 0.843). All-cause mortality occurred in 22.9% of patients after RAO: 25.5% in the CRAO group and 16.2% in the BRAO group (p = 0.253). The composite endpoint of ischemic stroke, myocardial infarction, and all-cause mortality after RAO occurred in 28.2% of patients: 30.9% in the CRAO group and 21.6% in the BRAO group (p = 0.338). There was no difference between CRAO and BRAO in median time to ischemic stroke (32 vs. 76.4 months; p = 0.352), all-cause mortality (35.9 vs. 36.3 months; p = 0.876) or composite endpoint (37.5 vs. 41.5 months; p = 0.912) after RAO. The Kaplan-Meier analysis showed no differences between CRAO and BRAO in ischemic stroke, myocardial infarction, all-cause mortality, or the composite endpoint; similar results were obtained in analyses of patients with and without cardiovascular events before RAO. Conclusions: The prognosis for ischemic stroke, myocardial infarction, and all-cause mortality is similar in patients with CRAO and BRAO. Ischemic strokes occur with a similar frequency before and after RAO. Myocardial infarctions are observed significantly more frequently before an episode of RAO than after. The results of our study indicate that both CRAO and BRAO require expanded diagnostics to assess the risk of recurrent cardiovascular events, especially ischemic strokes, to implement appropriate prophylaxis and reduce mortality.
Collapse
Affiliation(s)
- Joanna Roskal-Wałek
- Collegium Medicum, The Jan Kochanowski University, 25-317 Kielce, Poland; (P.W.); (D.O.); (S.G.); (B.W.-K.)
- Ophthalmology Clinic, Voivodeship Regional Hospital, 25-736 Kielce, Poland;
- Correspondence: ; Tel.: +48-413-671-440; Fax: +48-413-671-510
| | - Paweł Wałek
- Collegium Medicum, The Jan Kochanowski University, 25-317 Kielce, Poland; (P.W.); (D.O.); (S.G.); (B.W.-K.)
- 1st Clinic of Cardiology and Electrotherapy, Swietokrzyskie Cardiology Centre, 25-736 Kielce, Poland
| | - Michał Biskup
- Ophthalmology Clinic, Voivodeship Regional Hospital, 25-736 Kielce, Poland;
| | - Dominik Odrobina
- Collegium Medicum, The Jan Kochanowski University, 25-317 Kielce, Poland; (P.W.); (D.O.); (S.G.); (B.W.-K.)
- Ophthalmology Clinic Boni Fratres Lodziensis, 93-357 Łódź, Poland
| | - Jerzy Mackiewicz
- Department of Vitreoretinal Surgery, Medical University of Lublin, 20-079 Lublin, Poland;
| | - Stanisław Głuszek
- Collegium Medicum, The Jan Kochanowski University, 25-317 Kielce, Poland; (P.W.); (D.O.); (S.G.); (B.W.-K.)
- Oncological, Endocrinological and General Surgery Clinic, Voivodeship Regional Hospital, 25-736 Kielce, Poland
| | - Beata Wożakowska-Kapłon
- Collegium Medicum, The Jan Kochanowski University, 25-317 Kielce, Poland; (P.W.); (D.O.); (S.G.); (B.W.-K.)
- 1st Clinic of Cardiology and Electrotherapy, Swietokrzyskie Cardiology Centre, 25-736 Kielce, Poland
| |
Collapse
|
19
|
Jiménez-Balado J, Pizarro J, Riba-Llena I, Penalba A, Faura J, Palà E, Montaner J, Hernández-Guillamon M, Delgado P. New candidate blood biomarkers potentially associated with white matter hyperintensities progression. Sci Rep 2021; 11:14324. [PMID: 34253757 PMCID: PMC8275657 DOI: 10.1038/s41598-021-93498-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 06/18/2021] [Indexed: 11/09/2022] Open
Abstract
We aimed to discover blood biomarkers associated with longitudinal changes in white matter hyperintensities (WMH). This study was divided into a discovery phase and a replication phase. Subjects in both studies were patients with hypertension, aged 50-70, who underwent two magnetic resonance imaging (MRI) sessions and blood extractions over a 4-year follow-up period. In the discovery phase, we screened 1305 proteins in 12 subjects with WMH progression and in 12 matched control subjects. We found that 41 proteins were differentially expressed: 13 were upregulated and 28 were downregulated. We subsequently selected three biomarkers for replication in baseline and follow-up samples in 80 subjects with WMH progression and in 80 control subjects. The selected protein candidates for the replication were MMP9 (matrix metalloproteinase-9), which was higher in cases, MET (hepatocyte growth factor receptor) and ASAH2 (neutral ceramidase), which were both lower in cases of WMH progression. Baseline biomarker concentrations did not predict WMH progression. In contrast, patients with WMH progression presented a steeper decline in MET over time. Furthermore, cases showed higher MMP9 and lower ASAH2 levels than controls at the follow-up. These results indicate that MMP9, MET, and ASAH2 are potentially associated with the progression of WMH, and could therefore be interesting candidates to validate in future studies.
Collapse
Affiliation(s)
- Joan Jiménez-Balado
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Jesús Pizarro
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Iolanda Riba-Llena
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Anna Penalba
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Júlia Faura
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Elena Palà
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Joan Montaner
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain.,Institute de Biomedicine of Seville, IBiS/Hospital Universitario Virgen del Rocío/CSIC/University of Seville & Department of Neurology, Hospital Universitario Virgen Macarena, Seville, Spain
| | - Mar Hernández-Guillamon
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Pilar Delgado
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain. .,Vall D'Hebron University Hospital, Universitat Autònoma de Barcelona, Dementia Unit, Neurology Service, Barcelona, Spain.
| |
Collapse
|
20
|
Wang M, Li Y, Cong L, Hou T, Luo Y, Shi L, Chang L, Zhang C, Wang Y, Wang X, Du Y, Qiu C. High-density lipoprotein cholesterol and brain aging amongst rural-dwelling older adults: a population-based magnetic resonance imaging study. Eur J Neurol 2021; 28:2882-2892. [PMID: 34031948 DOI: 10.1111/ene.14939] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 05/07/2021] [Accepted: 05/10/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND PURPOSE Current evidence supports the involvement of lipids in brain aging. A range of serum lipids is explored in association with brain structure and cognitive function amongst rural-dwelling older adults. METHODS This population-based cross-sectional study included 184 rural-dwelling adults (age ≥ 65 years, 39.1% women) in Shandong, China. In 2014-2016, data on demographics, lifestyle, health conditions and serum lipids were collected. Volumes of gray matter, white matter, ventricles, hippocampus and white matter hyperintensity were automatically estimated on brain magnetic resonance imaging. Global cognitive function was assessed with the Mini-Mental State Examination (MMSE), and mild cognitive impairment (MCI) was defined according to Petersen's criteria. Data were analyzed using the general linear regression, logistic regression and mediation models. RESULTS Of the 184 participants, 47 were defined with MCI. Low high-density lipoprotein cholesterol (HDL-C; <1.55 vs. ≥1.55 mmol/l) was significantly associated with reduced volumes of total white matter (multi-adjusted β = -9.77, 95% confidence interval -19.48-0.06) and hippocampus (-0.23, -0.46-0.01), a lower MMSE score (-1.49, -2.67-0.31) and a higher likelihood of MCI (multi-adjusted odds ratio 3.21, 95% confidence interval 1.42-7.29). The mediation effects of structural brain measures on the associations between a low level of HDL-C and MMSE score or MCI were not statistically significant (p > 0.05). CONCLUSIONS This study suggests that low HDL-C may be involved in structural brain aging and cognitive dysfunction amongst rural-dwelling older adults in China, but the association of low HDL-C with cognitive aging phenotypes appears not to be mediated by brain structure.
Collapse
Affiliation(s)
- Mingqi Wang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Yuanjing Li
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet Stockholm University, Stockholm, Sweden
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yishan Luo
- BrainNow Research Institute, Shenzhen, Guangdong, China
| | - Lin Shi
- BrainNow Research Institute, Shenzhen, Guangdong, China.,Department of Imaging and Interventional Radiology, Chinese University of Hong Kong, Hong Kong SAR, China
| | - Liguo Chang
- Liaocheng Third People's Hospital, Liaocheng, Shandong, China
| | - Chuanchen Zhang
- Department of Radiology, Liaocheng People's Hospital and Liaocheng Brain Hospital, Shandong First Medical University and Shandong Academy of Medical Sciences, Liaocheng, Shandong, China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xiang Wang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.,Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet Stockholm University, Stockholm, Sweden
| |
Collapse
|
21
|
Huo Y, Hong W, Huang J, Wang C, Ma J, Liu D, Chen L, Peng Z, Dong S, Tao Y, Li L, Liu L, Yang H, Zhou H. White matter hyperintensities and the progression from mild parkinsonian signs to parkinsonism and Parkinson's disease. Neurobiol Aging 2020; 96:267-76. [PMID: 33130544 DOI: 10.1016/j.neurobiolaging.2020.08.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Revised: 08/01/2020] [Accepted: 08/03/2020] [Indexed: 12/11/2022]
Abstract
This study investigated the impact of white matter hyperintensities (WMHs) on the progression from mild parkinsonian signs (MPS) to parkinsonism and Parkinson's disease (PD). Participants with MPS completed 5 years of follow-up. WMHs were divided into periventricular WMHs and deep WMHs according to magnetic resonance imaging scans. The diagnosis of MPS, parkinsonism, and PD was based on the motor portion of the Unified Parkinson's Disease Rating Scale. Cox proportional hazard models were used to identify the association between WMHs and MPS progression. Of the 636 participants, 166 (26.1%) with MPS developed parkinsonism and PD after follow-up. After adjusting for potential factors, severe WMHs were associated with an increased risk of MPS progression, moderate and severe periventricular WMHs and severe deep WMHs were associated with the risk of MPS progression, and severe WMHs were associated with the progression of gait/balance impairment, bradykinesia, and rigidity. Additionally, participants treated for vascular risk factors such as hypertension, diabetes mellitus, and hypercholesterolemia had a lower risk of MPS progression.
Collapse
|
22
|
Guisset F, Lolli V, Bugli C, Perrotta G, Absil J, Dachy B, Pot C, Théaudin M, Pasi M, van Pesch V, Maggi P. The central vein sign in multiple sclerosis patients with vascular comorbidities. Mult Scler 2020; 27:1057-1065. [DOI: 10.1177/1352458520943785] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: The central vein sign (CVS) is an imaging biomarker able to differentiate multiple sclerosis (MS) from other conditions causing similar appearance lesions on magnetic resonance imaging (MRI), including cerebral small vessel disease (CSVD). However, the impact of vascular risk factors (VRFs) for CSVD on the percentage of CVS positive (CVS+) lesions in MS has never been evaluated. Objective: To investigate the association between different VRFs and the percentage of CVS+ lesions in MS. Methods: In 50 MS patients, 3T brain MRIs (including high-resolution 3-dimensional T2*-weighted images) were analyzed for the presence of the CVS and MRI markers of CSVD. A backward stepwise regression model was used to predict the combined predictive effect of VRF (i.e. age, hypertension, diabetes, obesity, ever-smoking, and hypercholesterolemia) and MRI markers of CSVD on the CVS. Results: The median frequency of CVS+ lesions was 71% (range: 35%–100%). In univariate analysis, age ( p < 0.0001), hypertension ( p < 0.001), diabetes ( p < 0.01), obesity ( p < 0.01), smoking ( p < 0.05), and the presence of enlarged-perivascular-spaces on MRI ( p < 0.005) were all associated with a lower percentage of CVS+ lesions. The stepwise regression model showed that age and arterial hypertension were both associated with the percentage of CVS+ lesions in MS (adjusted R2 = 0.46; p < 0.0001 and p = 0.01, respectively). Conclusion: The proportion of CVS+ lesions significantly decreases in older and hypertensive MS patients. Although this study was conducted in patients with an already established MS diagnosis, the diagnostic yield of the previously proposed 35% CVS proportion-based diagnostic threshold appears to be not affected. Overall these results suggest that the presence of VRF for CSVD should be taken into account during the CVS assessment.
Collapse
Affiliation(s)
- François Guisset
- Department of Neurology, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium/Department of Neurology, Hôpital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - Valentina Lolli
- Department of Radiology, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - Céline Bugli
- Plateforme technologique de Support en Méthodologie et Calcul Statistique, Université Catholique de Louvain, Brussels, Belgium
| | - Gaetano Perrotta
- Department of Neurology, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - Julie Absil
- Department of Radiology, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - Bernard Dachy
- Department of Neurology, Hôpital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - Caroline Pot
- Department of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Marie Théaudin
- Department of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Marco Pasi
- University of Lille, Inserm, CHU Lille, U1172—LilNCog—Lille Neuroscience & Cognition, Lille, France
| | - Vincent van Pesch
- Department of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Pietro Maggi
- Department of Neurology, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium/Department of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland/Department of Neurology, Cliniques universitaires Saint Luc, Université Catholique de Louvain, Brussels, Belgium
| |
Collapse
|
23
|
Liu Y, Chan DK, Thalamuthu A, Wen W, Jiang J, Paradise M, Lee T, Crawford J, Wai Kin Wong M, Hua Xu Y, Poljak A, Pickford R, Sachdev PS, Braidy N. Plasma lipidomic biomarker analysis reveals distinct lipid changes in vascular dementia. Comput Struct Biotechnol J 2020; 18:1613-1624. [PMID: 32670502 PMCID: PMC7334482 DOI: 10.1016/j.csbj.2020.06.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 05/31/2020] [Accepted: 06/01/2020] [Indexed: 11/17/2022] Open
Abstract
Vascular dementia (VaD) is a complex neurocognitive disorder secondary to a variety of cerebrovascular lesions. Numerous studies have shown that lipid metabolism is involved in the pathobiology of the disease. We examined the plasma lipid profiles in VaD, with the expectation of identifying reliable lipid biomarkers for VaD. 49 VaD patients and 48 healthy controls were recruited from Bankstown-Lidcombe Hospital in Sydney, Australia. Lipids were extracted by single phase 1-butanol/methanol, and untargeted analysis was performed by liquid chromatography coupled-mass spectrometry (LC–MS/MS). Univariate analysis of variance was used to examine the differences in lipid classes and individual lipids between VaD and control groups. In an independent sample of 161 subjects from the Older Australian Twins Study (OATS), elastic net penalization for the generalized linear model (Glmnet) and Random Forest were applied to the lipid levels to subcategorise the sample into vascular cognitive impairment and controls. Most lipids belonging to the classes of ceramides (Cer), cholesterol esters (ChE) and phospholipids were significantly lower in VaD plasma, while glycerides were elevated compared to controls. Levels of ChE, Cer and the two lipid classes together achieved the best accuracy in discriminating VaD from controls, with more than 80% accuracy. The probable VaD group in the OATS sample predicted by the lipid levels showed greater impairment in most cognitive domains, especially attention and processing speed and executive function from controls but did not differ in white matter hyperintensities and DTI measures. As a conclusion, plasma lipids levels, in particular Cer and ChE, are abnormal in VaD and may help discriminate them from healthy controls. Understanding the basis of these differences may provide insights into the pathobiology of VaD.
Collapse
Affiliation(s)
- Yue Liu
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Daniel K.Y. Chan
- Department of Aged Care and Rehabilitation, Bankstown Hospital, Bankstown, NSW, Australia
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Randwick, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Matthew Paradise
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Teresa Lee
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - John Crawford
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Matthew Wai Kin Wong
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Ying Hua Xu
- Department of Aged Care and Rehabilitation, Bankstown Hospital, Bankstown, NSW, Australia
| | - Anne Poljak
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, Australia
- School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Russell Pickford
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, Australia
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, Euroa Centre, Prince of Wales Hospital, Sydney, Australia
| | - Nady Braidy
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
- Corresponding author: School of Medicine, Huzhou University, Wuxing district, Zhejiang, China
| |
Collapse
|
24
|
Akan S, Urkmez A. Association between atherogenic dyslipidemia and fournier’s gangrene. Rev Assoc Med Bras (1992) 2020; 66:479-484. [DOI: 10.1590/1806-9282.66.4.479] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 11/12/2019] [Indexed: 11/22/2022] Open
Abstract
SUMMARY OBJECTIVE We aimed to determine whether atherogenic dyslipidemia is associated with the disease and morbidity in our patients treated for Fournier’s gangrene (FG). METHODS Sixty-two patients who were treated with the diagnosis of FG at our center between 2012 and 2017 were retrospectively screened. RESULTS The triglyceride values of the patients who required reconstructive surgery were statistically significantly higher than those of the patients for whom wound debridement and primary suturing was sufficient (p:0.001). A total of 65.7% of the patients had normal triglyceride values in the group in which wound debridement and primary suturing was sufficient, while this rate was 22.2% in the group of patients who needed reconstructive surgery; the difference was statistically significant (p: 0.002). The UFGSI score of those with triglyceride values higher than the normal range was statistically significantly higher (p:0.006). The cut-off point for the triglyceride value for which Fournier’s gangrene was more morbid and the probability of reconstructive surgery need was significantly higher, i.e., >233mg. CONCLUSION Our study has demonstrated that atherogenic dyslipidemia, especially hypertriglyceridemia, is an important factor affecting morbidity and associated with high patient care costs after hospitalization and discharge in FG.
Collapse
|
25
|
Rist PM, Cook NR, Buring JE, Rexrode KM, Rost NS. Prospectively Collected Cardiovascular Biomarkers and White Matter Hyperintensity Volume in Ischemic Stroke Patients. J Stroke Cerebrovasc Dis 2020; 29:104704. [PMID: 32093989 DOI: 10.1016/j.jstrokecerebrovasdis.2020.104704] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 01/23/2020] [Accepted: 01/24/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Few prospective cohort studies collect detailed information on stroke characteristics among individuals who experience ischemic stroke, including white matter hyperintensity volume, and thus cannot explore how prospectively collected biomarkers prior to the stroke influence white matter hyperintensity volume. We explored the association between a large panel of prospectively collected lipid and inflammatory biomarkers and white matter hyperintensity volume among participants in the Women's Health Study with incident ischemic stroke. METHODS Among Women's Health Study participants with first ischemic stroke who had baseline serum biomarkers and available magnetic resonance imaging, we measured white matter hyperintensity volume using a validated semi-automated method. Linear regression was used to explore the associations between biomarkers and log-transformed white matter hyperintensity volume. RESULTS After multivariate adjustment, a 1% increment in HbA1c% was associated with an increase in white matter hyperintensity volume (P value = .05). Evidence of a nonlinear association between high density lipoprotein cholesterol levels and ApoA1 levels with white matter hyperintensity volume was noted (P values for nonlinearity = .01 and .001, respectively). No other biomarkers were significantly associated with white matter hyperintensity volume. CONCLUSIONS Chronic hyperglycemia as evidenced by HbA1c levels measured years prior to stroke is associated with white matter hyperintensity volume at the time of stroke. Additional research is needed to explain why low levels of high density lipoprotein cholesterol levels and ApoA1 may be associated with similar white matter hyperintensity volume as high levels.
Collapse
Affiliation(s)
- Pamela M Rist
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
| | - Nancy R Cook
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Julie E Buring
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Kathryn M Rexrode
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Natalia S Rost
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
26
|
Nam KW, Kwon HM, Jeong HY, Park JH, Kwon H, Jeong SM. Pooled cohort risk equation and subclinical cerebrovascular diseases. Eur J Neurol 2020; 27:793-799. [PMID: 31994781 DOI: 10.1111/ene.14155] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 01/09/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND PURPOSE In 2013, the American College of Cardiology/American Heart Association (ACC/AHA) introduced a novel pooled cohort risk (PCR) model for atherosclerotic cardiovascular disease. In this study, we evaluated the relationship between the PCR score and cerebral large- and small-vessel diseases (cLVD and cSVD) in a healthy population, METHODS: We assessed consecutive health check-up volunteers from 2006 to 2013. We calculated the estimated 10-year atherosclerotic cardiovascular disease risk as the PCR score based on the 2013 ACC/AHA guidelines. We evaluated both cSVD/cLVD, including the prevalence of cLVD, lacunes and cerebral microbleed (CMB), and the volume of white matter hyperintensity (WMH). In addition to PCR score, the risk factors that were associated with outcome variables at P < 0.10 in univariate analysis were included for further multivariable linear or regression analyses. RESULTS A total of 2720 participants were evaluated (mean age, 57 years, male sex, 54%). In multivariable analysis, PCR score was associated with WMH volume [β = 0.361; 95% confidence interval (CI), 0.320-0.402, P < 0.001], cLVD [adjusted odds ratio (aOR), 1.66; 95% CI, 1.29-2.16, P < 0.001], lacunes (aOR, 1.80; 95% CI, 1.52-2.14, P < 0.001) and CMBs (aOR, 1.75; 95% CI, 1.40-2.19, P < 0.001). Furthermore, PCR score also showed dose-response tendencies according to the burden of cLVD, WMH, lacunes and CMB. CONCLUSIONS A higher PCR score based on the ACC/AHA guidelines is closely associated with a higher prevalence and burden of cLVD and cSVD.
Collapse
Affiliation(s)
- K-W Nam
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea
| | - H-M Kwon
- Department of Neurology, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea
| | - H-Y Jeong
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea
| | - J-H Park
- Department of Family Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea
| | - H Kwon
- Department of Family Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea
| | - S-M Jeong
- Department of Family Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea
| |
Collapse
|
27
|
Axelsson E, Wallin A, Svensson J. Patients with the Subcortical Small Vessel Type of Dementia Have Disturbed Cardiometabolic Risk Profile. J Alzheimers Dis 2020; 73:1373-1383. [PMID: 31929169 DOI: 10.3233/jad-191077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Population-based studies have shown that cardiometabolic status is associated with the amount of white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI). However, little is known of cardiometabolic risk factors in the subcortical small vessel type of dementia (SSVD), in which WMHs are one of the most prominent manifestations. OBJECTIVE To determine whether the profile of cardiometabolic risk factors differed between SSVD, Alzheimer's disease (AD), mixed dementia (combined AD and SSVD), and healthy controls. METHODS This was a mono-center, cross-sectional study of SSVD (n = 40), AD (n = 113), mixed dementia (n = 62), and healthy controls (n = 94). In the statistical analyses, we adjusted for covariates using ANCOVA and binary logistic regression. RESULTS The prevalence of hypertension was increased in SSVD and mixed dementia (p < 0.001 and p < 0.05 versus controls, respectively). Diabetes was more prevalent in SSVD patients, and body mass index was lower in AD and mixed dementia, compared to the controls (all p < 0.05). Serum total cholesterol (TC) and low-density lipoprotein-cholesterol (LDL-C) were reduced in the SSVD group (both p < 0.05 versus control). These differences remained after adjustment for covariates. In the SSVD group, Trail Making Test A score correlated positively with systolic blood pressure, mean arterial pressure, and pulse pressure. CONCLUSION All dementia groups had an altered cardiometabolic risk profile compared to the controls. The SSVD patients showed increased prevalence of hypertension and diabetes, and in line with previous population-based data, TC and LDL-C in serum were reduced.
Collapse
Affiliation(s)
- Elin Axelsson
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anders Wallin
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Johan Svensson
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| |
Collapse
|
28
|
Abstract
Small-vessel diseases (SVDs) of the brain are involved in about one-fourth of ischemic strokes and a vast majority of intracerebral hemorrhages and are responsible for nearly half of dementia cases in the elderly. SVDs are a heavy burden for society, a burden that is expected to increase further in the absence of significant therapeutic advances, given the aging population. Here, we provide a critical appraisal of currently available therapeutic approaches for nonamyloid sporadic SVDs that are largely based on targeting modifiable risk factors. We review what is known about the pathogenic mechanisms of vascular risk factor-related SVDs and cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), the most frequent hereditary SVD, and elaborate on two mechanism-based therapeutic approaches worth exploring in sporadic SVD and CADASIL. We conclude by discussing opportunities and challenges that need to be tackled if efforts to achieve significant therapeutic advances for these diseases are to be successful.
Collapse
Affiliation(s)
- Anne Joutel
- Institute of Psychiatry and Neurosciences of Paris, INSERM UMR1266, Paris Descartes University, 75014 Paris, France; .,DHU NeuroVasc, Sorbonne Paris Cité, 75010 Paris, France.,Department of Pharmacology, College of Medicine, University of Vermont, Burlington, Vermont 05405, USA
| |
Collapse
|
29
|
Pan Y, Li H, Wang Y, Meng X, Wang Y. Causal Effect of Lp(a) [Lipoprotein(a)] Level on Ischemic Stroke and Alzheimer Disease: A Mendelian Randomization Study. Stroke 2019; 50:3532-3539. [PMID: 31597550 DOI: 10.1161/strokeaha.119.026872] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Background and Purpose- Stroke and Alzheimer disease are 2 major causes of neurological disability in aged people and shared overlapping predictors. In recent prospective studies, high Lp(a) [lipoprotein(a)] level is associated with high risk of stroke but low risk of Alzheimer disease. Whether this reflects a causal association remains to be established. The aim of this study is to examine the causal associations of Lp(a) concentrations on ischemic stroke, ischemic stroke subtypes, and Alzheimer disease. Methods- We used 9 single-nucleotide polymorphisms associated with Lp(a) concentrations as instrumental variables. Summary-level data on ischemic stroke and its subtypes were obtained from the Multiancestry Genome-Wide Association Study of Stroke consortium with European individuals ≤446 696 individuals. Summary-level data on Alzheimer disease were obtained from the International Genomics of Alzheimer Project With European individuals ≤54 162 individuals. Two-sample Mendelian randomization (MR) estimates were calculated with inverse-variance weighted, penalized inverse-variance weighted, simple median, weighted median, and MR Pleiotropy Residual Sum and Outlier approaches, and MR-Egger regression was used to explore pleiotropy. Results- Genetically predicted 1-SD log-transformed increase in Lp(a) concentrations was associated with a substantial increase in risk of large artery stroke (odds ratio, 1.20; 95% CI, 1.11-1.30; P<0.001) and a reduce in risk of small vessel stroke (odds ratio, 0.92; 95% CI, 0.88-0.97; P=0.001) and Alzheimer disease (odds ratio, 0.94; 95% CI, 0.91-0.97; P<0.001) using inverse-variance weighted method. No significant association was observed for total ischemic stroke or cardioembolic stroke. MR-Egger indicated no evidence of pleiotropic bias. Results were broadly consistent in sensitivity analyses using penalized inverse-variance weighted, simple median, weighted median, and MR Pleiotropy Residual Sum and Outlier approaches accounting for potential genetic pleiotropy or outliers. Conclusions- This study provides evidence to support that high Lp(a) concentrations was causally associated with an increased risk of large artery stroke but a decreased risk of small vessel stroke and Alzheimer disease. The mechanism underlying the double-edged sword effect of Lp(a) concentrations on neurological system requires further investigation.
Collapse
Affiliation(s)
- Yuesong Pan
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China; and China National Clinical Research Center for Neurological Diseases, Beijing
| | - Hao Li
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China; and China National Clinical Research Center for Neurological Diseases, Beijing
| | - Yilong Wang
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China; and China National Clinical Research Center for Neurological Diseases, Beijing
| | - Xia Meng
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China; and China National Clinical Research Center for Neurological Diseases, Beijing
| | - Yongjun Wang
- From the Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China; and China National Clinical Research Center for Neurological Diseases, Beijing
| |
Collapse
|
30
|
Cai H, Cai B, Zhang H, Sun W, Wang Y, Zhou S, Ye Z, Zhang Z, Liang J. Major depression and small vessel stroke: a Mendelian randomization analysis. J Neurol 2019; 266:2859-2866. [PMID: 31435769 DOI: 10.1007/s00415-019-09511-w] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 08/08/2019] [Accepted: 08/13/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND PURPOSE Although observational studies have reported a positive association between depression and ischemic stroke, causality remains inconclusive. We aimed to assess the causal relationship of major depressive disorder (MDD) with ischemic stroke, especially with the small vessel stroke (SVS) subtype. METHODS We used 72 independent single-nucleotide polymorphisms associated with MDD in a genome-wide association study (GWAS) from the Psychiatric Genetics Consortium as instrumental variables. The corresponding data for ischemic stroke and its subtypes of European ancestry were available from the MEGASTROKE consortium of 34,217 ischemic stroke cases and 406,111 controls. Primary Mendelian randomization estimates were calculated with inverse-variance weighted method, and several alternate methods and multiple sensitivity analyses were also performed. RESULTS We found that genetic predisposition to higher risk of MDD was associated with higher risk of SVS, with an odds ratio of 1.33 (95% confidence interval, 1.08-1.65; p = 0.009) per log-odds increment in MDD risk, but not with large artery stroke (OR, 1.08; 95% CI 0.83-1.41; p = 0.559), cardioembolic stroke (OR, 0.98; 95% CI 0.80-1.20; p = 0.833), or all ischemic stroke (OR, 1.03; 95% CI 0.92-1.15; p = 0.633). The association of MDD with SVS was overall robust to sensitivity analyses. CONCLUSIONS We provided evidence for a possible causal effect of MDD on increased risk of SVS. Future researches are required to investigate whether rational intervention on depression may help to reduce societal burden of SVS.
Collapse
Affiliation(s)
- Huan Cai
- Department of Neurology, Zhongshan City People's Hospital, 2 East Sunwen Road, Zhongshan, 528403, Guangdong, China.
| | - Biyang Cai
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Hao Zhang
- Department of Neurology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, Zhejiang, China
| | - Wen Sun
- Division of Life Sciences and Medicine, Stroke Center and Department of Neurology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230026, Anhui, China
| | - Yingting Wang
- Department of Geriatric Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Shuyu Zhou
- Department of Neurology, Jiangning Hospital Affiliated of Nanjing Medical University, Nanjing, 210002, Jiangsu, China
| | - Zusen Ye
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Zhizhong Zhang
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Jialin Liang
- Department of Endocrinology and Metabolism, Zhongshan City People's Hospital, 2 East Sunwen Road, Zhongshan, 528403, Guangdong, China.
| |
Collapse
|
31
|
Li D, Misialek JR, Jack CR, Mielke MM, Knopman D, Gottesman R, Mosley T, Alonso A. Plasma Metabolites Associated with Brain MRI Measures of Neurodegeneration in Older Adults in the Atherosclerosis Risk in Communities⁻Neurocognitive Study (ARIC-NCS). Int J Mol Sci 2019; 20:ijms20071744. [PMID: 30970556 PMCID: PMC6479561 DOI: 10.3390/ijms20071744] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 03/28/2019] [Accepted: 04/01/2019] [Indexed: 12/30/2022] Open
Abstract
Background: Plasma metabolites are associated with cognitive and physical function in the elderly. Because cerebral small vessel disease (SVD) and neurodegeneration are common causes of cognitive and physical function decline, the primary objective of this study was to investigate the associations of six plasma metabolites (two plasma phosphatidylcholines [PCs]: PC aa C36:5 and PC aa 36:6 and four sphingomyelins [SMs]: SM C26:0, SM [OH] C22:1, SM [OH] C22:2, SM [OH] C24:1) with magnetic resonance imaging (MRI) features of cerebral SVD and neurodegeneration in older adults. Methods: This study included 238 older adults in the Atherosclerosis Risk in Communities study at the fifth exam. Multiple linear regression was used to assess the association of each metabolite (log-transformed) in separate models with MRI measures except lacunar infarcts, for which binary logistic regression was used. Results: Higher concentrations of plasma PC aa C36:5 had adverse associations with MRI features of cerebral SVD (odds ratio of 1.69 [95% confidence interval: 1.01, 2.83] with lacunar infarct, and beta of 0.16 log [cm3] [0.02, 0.30] with log [White Matter Hyperintensities (WMH) volume]) while higher concentrations of 3 plasma SM (OH)s were associated with higher total brain volume (beta of 12.0 cm3 [5.5, 18.6], 11.8 cm3 [5.0, 18.6], and 7.3 cm3 [1.2, 13.5] for SM [OH] C22:1, SM [OH] C22:2, and SM [OH] C24:1, respectively). Conclusions: This study identified associations between certain plasma metabolites and brain MRI measures of SVD and neurodegeneration in older adults, particularly higher SM (OH) concentrations with higher total brain volume.
Collapse
Affiliation(s)
- Danni Li
- Department of Lab Medicine and Pathology, University of Minnesota, 420 Delaware Street SE, MMC 609, Minneapolis, MN 55455, USA.
| | - Jeffrey R Misialek
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA.
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
| | - Michelle M Mielke
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN 55906, USA.
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
| | - David Knopman
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
| | - Rebecca Gottesman
- Department of Neurology, Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
| | - Tom Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA.
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
| |
Collapse
|
32
|
Chauhan G, Adams HHH, Satizabal CL, Bis JC, Teumer A, Sargurupremraj M, Hofer E, Trompet S, Hilal S, Smith AV, Jian X, Malik R, Traylor M, Pulit SL, Amouyel P, Mazoyer B, Zhu YC, Kaffashian S, Schilling S, Beecham GW, Montine TJ, Schellenberg GD, Kjartansson O, Guðnason V, Knopman DS, Griswold ME, Windham BG, Gottesman RF, Mosley TH, Schmidt R, Saba Y, Schmidt H, Takeuchi F, Yamaguchi S, Nabika T, Kato N, Rajan KB, Aggarwal NT, De Jager PL, Evans DA, Psaty BM, Rotter JI, Rice K, Lopez OL, Liao J, Chen C, Cheng CY, Wong TY, Ikram MK, van der Lee SJ, Amin N, Chouraki V, DeStefano AL, Aparicio HJ, Romero JR, Maillard P, DeCarli C, Wardlaw JM, Hernández MDCV, Luciano M, Liewald D, Deary IJ, Starr JM, Bastin ME, Muñoz Maniega S, Slagboom PE, Beekman M, Deelen J, Uh HW, Lemmens R, Brodaty H, Wright MJ, Ames D, Boncoraglio GB, Hopewell JC, Beecham AH, Blanton SH, Wright CB, Sacco RL, Wen W, Thalamuthu A, Armstrong NJ, Chong E, Schofield PR, Kwok JB, van der Grond J, Stott DJ, Ford I, Jukema JW, Vernooij MW, Hofman A, Uitterlinden AG, van der Lugt A, Wittfeld K, Grabe HJ, Hosten N, von Sarnowski B, Völker U, Levi C, Jimenez-Conde J, Sharma P, Sudlow CLM, Rosand J, Woo D, Cole JW, Meschia JF, Slowik A, Thijs V, Lindgren A, Melander O, Grewal RP, Rundek T, Rexrode K, Rothwell PM, Arnett DK, Jern C, Johnson JA, Benavente OR, Wasssertheil-Smoller S, Lee JM, Wong Q, Mitchell BD, Rich SS, McArdle PF, Geerlings MI, van der Graaf Y, de Bakker PIW, Asselbergs FW, Srikanth V, Thomson R, McWhirter R, Moran C, Callisaya M, Phan T, Rutten-Jacobs LCA, Bevan S, Tzourio C, Mather KA, Sachdev PS, van Duijn CM, Worrall BB, Dichgans M, Kittner SJ, Markus HS, Ikram MA, Fornage M, Launer LJ, Seshadri S, Longstreth WT, Debette S. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting. Neurology 2019; 92:e486-e503. [PMID: 30651383 PMCID: PMC6369905 DOI: 10.1212/wnl.0000000000006851] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Accepted: 10/01/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts. METHODS We performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n = 20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI. RESULTS The mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 × 10-8; and LINC00539/ZDHHC20, p = 5.82 × 10-9. Both have been associated with blood pressure (BP)-related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p [BI] = 9.38 × 10-25; p [SSBI] = 5.23 × 10-14 for hypertension), smoking (p [BI] = 4.4 × 10-10; p [SSBI] = 1.2 × 10-4), diabetes (p [BI] = 1.7 × 10-8; p [SSBI] = 2.8 × 10-3), previous cardiovascular disease (p [BI] = 1.0 × 10-18; p [SSBI] = 2.3 × 10-7), stroke (p [BI] = 3.9 × 10-69; p [SSBI] = 3.2 × 10-24), and MRI-defined white matter hyperintensity burden (p [BI] = 1.43 × 10-157; p [SSBI] = 3.16 × 10-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p ≤ 0.0022), without indication of directional pleiotropy. CONCLUSION In this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significant modifiable, causal risk factor for BI.
Collapse
|
33
|
Yu L, Yang L, Zhang X, Yuan J, Li Y, Yang S, Gu H, Hu W, Gao S. Age and recurrent stroke are related to the severity of white matter hyperintensities in lacunar infarction patients with diabetes. Clin Interv Aging 2018; 13:2487-2494. [PMID: 30584289 PMCID: PMC6290865 DOI: 10.2147/cia.s184463] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Background and purpose White matter hyperintensities (WMH) is identified as a marker of cerebral small vessel diseases and is a major contributor to cognitive impairment, depression, gait disturbance, and urinary incontinence. However, the risk factors for WMH in patients with type 2 diabetes mellitus (T2DM) has not been well explored. Thus, in this study, we aimed to investigate the relationship between the severity of WMH and vascular risk factors in lacunar infarction patients with T2DM. Methods Consecutive lacunar infarction patients with T2DM were recruited in this cross-sectional study. Paraventricular WMH (P-WMH) and deep WMH (D-WMH) were separately scored by the Fazekas scale, and classified into two categories by the severity. Vascular risk factors and clinical features were compared between the mild and severe WMH. Multiple logistic regression analysis was used to determine the relationship between severity of WMH and vascular risk factors. Results A total of 327 participants aged 34–91 years were enrolled in this study. Compared with the patients with mild P-WMH, the patients with severe P-WMH had higher age (P=0.031), higher proportion of hypertension (P=0.042) and stroke (P<0.001). Levels of TG, LDL, and HbA1c were significantly higher in patients with mild P-WMH. Compared with the patients with mild D-WMH the patients with severe D-WMH had higher age and hyperhomocysteinemia (HCY) level (P<0.001), higher proportion of hyperlipidemia (P=0.008), and stroke (P<0.001). Multivariable logistic regression analyses showed that higher age and recurrent stroke were independently related to severe P-WMH and D-WMH in lacunar infarction patients with T2DM. Conclusions Age and recurrent stroke are related to the severity of P-WMH and D-WMH in lacunar infarction patients with T2DM.
Collapse
Affiliation(s)
- Ling Yu
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Lei Yang
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Xiaoyu Zhang
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Junliang Yuan
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Yue Li
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Shuna Yang
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Hua Gu
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Wenli Hu
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| | - Shan Gao
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China,
| |
Collapse
|
34
|
Chung CP, Chou KH, Peng LN, Liu LK, Lee WJ, Chen LK, Lin CP, Wang PN. Associations between low circulatory low-density lipoprotein cholesterol level and brain health in non-stroke non-demented subjects. Neuroimage 2018; 181:627-634. [DOI: 10.1016/j.neuroimage.2018.07.049] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 06/27/2018] [Accepted: 07/20/2018] [Indexed: 01/24/2023] Open
|
35
|
Harris S, Kurniawan M, Rasyid A, Mesiano T, Hidayat R. Cerebral small vessel disease in Indonesia: Lacunar infarction study from Indonesian Stroke Registry 2012-2014. SAGE Open Med 2018; 6:2050312118784312. [PMID: 29977554 PMCID: PMC6024285 DOI: 10.1177/2050312118784312] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 05/24/2018] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND AND PURPOSE Stroke is the number one cause of morbidity and mortality in Indonesia. Lacunar infarction is one of cerebral small vessel disease spectrum. This study aimed to present stroke epidemiology in Indonesia and risk factors associated with cerebral small vessel disease. METHODS A multicenter prospective cross-sectional study of 18 hospitals in Indonesia was conducted using Stroke Case Report Form from 2012 to 2014. Stroke was diagnosed based on clinical findings confirmed with non-contrast computed tomography of the brain. Subjects were classified into two large groups: ischemic (lacunar and non-lacunar) and hemorrhagic (intracranial and subarachnoid hemorrhage). Other risk factors were assessed on admission. RESULTS We enrolled 5411 patients, of whom 3627 (67.03%) had ischemic stroke and 1784 (32.97%) had hemorrhagic stroke. Male patients were prevalent in both large groups, although found less in subarachnoid hemorrhage group. Among patients with hemorrhagic stroke, 1603 (89.54%) of them had intracerebral hemorrhage and 181 (10.46%) had subarachnoid hemorrhage. From 3627 ischemic stroke patients, 1635 (45.07%) of them had lacunar infarction. We found that age above 55 years old, male gender, hypertension, dyslipidemia, and diabetes were important risk factors associated with lacunar stroke (p < 0.05). CONCLUSION Ischemic stroke was the leading cause of stroke in Indonesia. In total, 45% of the total ischemic stroke patients had lacunar infarction. Important risk factors associated with lacunar infarction were hypertension, dyslipidemia, diabetes, age over 55, and male population.
Collapse
Affiliation(s)
- Salim Harris
- Department of Neurology, Faculty of Medicine, Universitas Indonesia and Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
| | - Mohammad Kurniawan
- Department of Neurology, Faculty of Medicine, Universitas Indonesia and Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
| | - Al Rasyid
- Department of Neurology, Faculty of Medicine, Universitas Indonesia and Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
| | - Taufik Mesiano
- Department of Neurology, Faculty of Medicine, Universitas Indonesia and Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
| | - Rakhmad Hidayat
- Department of Neurology, Faculty of Medicine, Universitas Indonesia and Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
| |
Collapse
|
36
|
Kim BJ, Lee EJ, Kwon SU, Park JH, Kim YJ, Hong KS, Wong LKS, Yu S, Hwang YH, Lee JS, Lee J, Rha JH, Heo SH, Ahn SH, Seo WK, Park JM, Lee JH, Kwon JH, Sohn SI, Jung JM, Navarro JC, Kang DW, Kwon SU, Lee J, Kang DW, Rha JH, Park JM, Lee YS, Lee JH, Kim YJ, Hong KS, Yu KH, Sohn SI, Ahn SH, Cha JK, Park MS, Kim JS, Yoon BW, Lee BC, Nam CM, Koo JS, Nam HS, Park KY, Park JM, Lee JH, Kim DH, Rha JH, Nah HW, Lee YS, Cho YJ, Kim DE, Han MK, Lee KB, Heo SH, Heo JH, Kim BJ, Cho KH, Kim HY, Kim YD, Cho AH, Lee KY, Lee JS, Park JH, Seo WK, Kim EG, Koh IS, Choi NC, Kwon JH, Lee J, Hwang YH, Song HJ, Shin BS, Kim JT, Lee SJ, Chung PW, Kim SH, Lee JH, Shin DI, Do JK, Lee SB, Lee YB, Yoo BG, Sung SM, Jung JM, Park JW, Lee TK, Navarro JC, San Jos MCZ, Roxas A, Mallarl-Alvarez RJ, Collantes MEV, WONG LK, Fong WC, Tsoi TH, Ng PW, Lee EJ, Lee JS. Prevention of cardiovascular events in Asian patients with ischaemic stroke at high risk of cerebral haemorrhage (PICASSO): a multicentre, randomised controlled trial. Lancet Neurol 2018; 17:509-518. [DOI: 10.1016/s1474-4422(18)30128-5] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Revised: 03/22/2018] [Accepted: 03/22/2018] [Indexed: 12/18/2022]
|
37
|
Wallin A, Román GC, Esiri M, Kettunen P, Svensson J, Paraskevas GP, Kapaki E. Update on Vascular Cognitive Impairment Associated with Subcortical Small-Vessel Disease. J Alzheimers Dis 2018; 62:1417-1441. [PMID: 29562536 PMCID: PMC5870030 DOI: 10.3233/jad-170803] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/15/2017] [Indexed: 02/06/2023]
Abstract
Subcortical small-vessel disease (SSVD) is a disorder well characterized from the clinical, imaging, and neuropathological viewpoints. SSVD is considered the most prevalent ischemic brain disorder, increasing in frequency with age. Vascular risk factors include hypertension, diabetes, hyperlipidemia, elevated homocysteine, and obstructive sleep apnea. Ischemic white matter lesions are the hallmark of SSVD; other pathological lesions include arteriolosclerosis, dilatation of perivascular spaces, venous collagenosis, cerebral amyloid angiopathy, microbleeds, microinfarcts, lacunes, and large infarcts. The pathogenesis of SSVD is incompletely understood but includes endothelial changes and blood-brain barrier alterations involving metalloproteinases, vascular endothelial growth factors, angiotensin II, mindin/spondin, and the mammalian target of rapamycin pathway. Metabolic and genetic conditions may also play a role but hitherto there are few conclusive studies. Clinical diagnosis of SSVD includes early executive dysfunction manifested by impaired capacity to use complex information, to formulate strategies, and to exercise self-control. In comparison with Alzheimer's disease (AD), patients with SSVD show less pronounced episodic memory deficits. Brain imaging has advanced substantially the diagnostic tools for SSVD. With the exception of cortical microinfarcts, all other lesions are well visualized with MRI. Diagnostic biomarkers that separate AD from SSVD include reduction of cerebrospinal fluid amyloid-β (Aβ)42 and of the ratio Aβ42/Aβ40 often with increased total tau levels. However, better markers of small-vessel function of intracerebral blood vessels are needed. The treatment of SSVD remains unsatisfactory other than control of vascular risk factors. There is an urgent need of finding targets to slow down and potentially halt the progression of this prevalent, but often unrecognized, disorder.
Collapse
Affiliation(s)
- Anders Wallin
- Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Gothenburg Sweden and Memory Clinic at Department of Neuropsychiatry, Sahlgrenska University, Hospital, Gothenburg, Sweden
| | - Gustavo C. Román
- Department of Neurology, Methodist Neurological Institute, Houston, TX, USA
- Weill Cornell Medical College, Cornell University, New York, NY, USA
| | - Margaret Esiri
- Neuropathology Department, West Wing, John Radcliffe Hospital, Oxford, UK
| | - Petronella Kettunen
- Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Gothenburg Sweden and Memory Clinic at Department of Neuropsychiatry, Sahlgrenska University, Hospital, Gothenburg, Sweden
- Nuffield Department of Clinical Neurosciences, University of Oxford, West Wing, John Radcliffe Hospital, Oxford, UK
| | - Johan Svensson
- Institute of Medicine at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - George P. Paraskevas
- 1st Department of Neurology, Neurochemistry Unit, National and Kapodistrian University of Athens, Athens, Greece
| | - Elisabeth Kapaki
- 1st Department of Neurology, Neurochemistry Unit, National and Kapodistrian University of Athens, Athens, Greece
| |
Collapse
|
38
|
Yin ZG, Wang QS, Yu K, Wang WW, Lin H, Yang ZH. Sex differences in associations between blood lipids and cerebral small vessel disease. Nutr Metab Cardiovasc Dis 2018; 28:28-34. [PMID: 29162363 DOI: 10.1016/j.numecd.2017.10.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Revised: 07/31/2017] [Accepted: 10/01/2017] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND AIMS Dyslipidemia predicts higher risk of coronary events and stroke and might be associated with cerebral small vessel disease (SVD). Previous studies linking blood lipids and SVD have yielded inconsistent results, which may be attributable to sex differences in lipids metabolism. The aim of this study was to investigate the relationships between blood lipids and SVD in neurologically healthy men and women. METHODS AND RESULTS Consecutive 817 people aged 50 years or more were enrolled and underwent magnetic resonance imaging scans to evaluate the periventricular white matter lesions (PVWMLs), deep white matter lesions (DWMLs) and silent brain infarction (SBI). Fasting total cholesterol, triglyceride, high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol, apolipoprotein A-1 (apoA-1) and apolipoprotein B were assessed. Multivariable logistic regression analyses were performed to determine the associations of blood lipids with PVWMLs, DWMLs and SBI. HDL-C (for PVWMLs: OR 0.36, 95% CI 0.19-0.71; for DWMLs: OR 0.35, 95% CI 0.20-0.63) and apoA-1 (for PVWMLs: OR 0.27, 95% CI 0.11-0.66; for DWMLs: OR 0.22, 95% CI 0.10-0.48) were inversely associated with the severity of PVWMLs and DWMLs in women but not in men after adjustment for age, hypertension, diabetes, current smoking, daily drinking, body mass index and uric acid. Additionally, no blood lipids were significantly associated with SBI. CONCLUSIONS Our findings demonstrate that sex differences may exist in the associations between lipids and SVD. HDL-C and apoA-1 levels were inversely associated with the severity of PVWMLs and DWMLs in women.
Collapse
Affiliation(s)
- Z-G Yin
- Department of Neurology, Chengdu Military General Hospital, 270 Rongdu Road, Jinniu District, Chengdu, Sichuan Province, 610083, China
| | - Q-S Wang
- Department of Neurology, Chengdu Military General Hospital, 270 Rongdu Road, Jinniu District, Chengdu, Sichuan Province, 610083, China.
| | - K Yu
- Department of Neurology, Chengdu Military General Hospital, 270 Rongdu Road, Jinniu District, Chengdu, Sichuan Province, 610083, China
| | - W-W Wang
- Department of Neurology, Chengdu Military General Hospital, 270 Rongdu Road, Jinniu District, Chengdu, Sichuan Province, 610083, China
| | - H Lin
- Department of Neurology, Chengdu Military General Hospital, 270 Rongdu Road, Jinniu District, Chengdu, Sichuan Province, 610083, China
| | - Z-H Yang
- Department of Neurology, Chengdu Military General Hospital, 270 Rongdu Road, Jinniu District, Chengdu, Sichuan Province, 610083, China
| |
Collapse
|
39
|
Tully PJ, Qchiqach S, Pereira E, Debette S, Mazoyer B, Tzourio C. Development and validation of a priori risk model for extensive white matter lesions in people age 65 years or older: the Dijon MRI study. BMJ Open 2017; 7:e018328. [PMID: 29289936 PMCID: PMC5778304 DOI: 10.1136/bmjopen-2017-018328] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVES The objective was to develop and validate a risk model for the likelihood of extensive white matter lesions (extWML) to inform clinicians on whether to proceed with or forgo diagnostic MRI. DESIGN Population-based cohort study and multivariable prediction model. SETTING Two representative samples from France. PARTICIPANTS Persons aged 60-80 years without dementia or stroke. Derivation sample n=1714; validation sample n=789. PRIMARY AND SECONDARY OUTCOME MEASURES Volume of extWML (log cm3) was obtained from T2-weighted images in a 1.5 T scanner. 20 candidate risk factors for extWML were evaluated with the C-statistic. Secondary outcomes in validation included incident stroke over 12 years follow-up. RESULTS The multivariable prediction model included six clinical risk factors (C-statistic=0.61). A cut-off of 7 points on the multivariable prediction model yielded the optimum balance in sensitivity 63.7% and specificity 54.0% and the negative predictive value was high (81.8%), but the positive predictive value was low (31.5%). In further validation, incident stroke risk was associated with continuous scores on the multivariable prediction model (HR 1.02; 95% CI 1.01 to 1.04, P=0.02) and dichotomised scores from the multivariable prediction model (HR 1.28; 95% CI 1.02 to 1.60, P=0.03). CONCLUSIONS A simple clinical risk equation for WML constituted by six variables can inform decisions whether to proceed with or forgo brain MRI. The high-negative predictive value demonstrates potential to reduce unnecessary MRI in the population aged 60-80 years.
Collapse
Affiliation(s)
- Phillip J Tully
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, CHU Bordeaux, F-33000 Bordeaux, France
| | - Sarah Qchiqach
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, CHU Bordeaux, F-33000 Bordeaux, France
| | - Edwige Pereira
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, CHU Bordeaux, F-33000 Bordeaux, France
| | - Stephanie Debette
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, CHU Bordeaux, F-33000 Bordeaux, France
| | - Bernard Mazoyer
- UMR5293, Groupe d’Imagerie Neurofonctionnelle, University Bordeaux, Institut des Maladies Neurodégénératives, Bordeaux, France
| | - Christophe Tzourio
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, CHU Bordeaux, F-33000 Bordeaux, France
| |
Collapse
|
40
|
Staszewski J, Piusińska-Macoch R, Brodacki B, Skrobowska E, Stępień A. Association between hemostatic markers, serum lipid fractions and progression of cerebral small vessel disease: A 2-year follow-up study. Neurol Neurochir Pol 2017; 52:54-63. [PMID: 29173807 DOI: 10.1016/j.pjnns.2017.11.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 10/31/2017] [Accepted: 11/02/2017] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Little is known if hemostatic markers and serum lipid fractions can predict further radiological progression beyond vascular risk factors in cerebral small vessel disease (SVD). We investigated whether they are associated with SVD radiological progression and if they are related to different SVD clinical manifestations. METHODS A single-center, prospective, cohort study with 2 years of radiological follow-up was performed in consecutive patients with different SVD manifestations. The study group consisted of 123 patients: 49 with lacunar stroke (LS), 48 with vascular dementia (VaD) and 26 with vascular parkinsonism (VaP). We assessed SVD progression by a visual SVD scale. We determined the relationship between serum or plasma concentrations of tissue factor (TF), thrombomodulin, beta-thromboglobulin (BTG), fibrinogen, D-dimer and total cholesterol, HDL-C, LDL-C, triglycerides and SVD progression by logistic regression analysis. RESULTS 34.9% patients had SVD radiological progression: 43% had isolated WMLs progression, 23.2% had new lacunes, 34.8% had both WMLs progression and new lacunes. Fibrinogen [OR 1.02 (95% CI 1.006-1.011] was significantly associated with risk of new lacunes or WMLs progression regardless of the clinical SVD manifestation. While low HDL [OR 0.96 (0.93-1)] and TF [OR 1.07 (0.99-1.1)] were marginally associated with new lacunes, BTG [OR 1.005 (0.99-1.01)] was associated with WMLs progression. CONCLUSION We found a relationship between fibrinogen and risk of radiological progression of SVD regardless of the clinical SVD manifestation. In addition, lower HDL and increased TF predicted development of new lacunes, and higher BTG was associated with risk of WMLs progression.
Collapse
Affiliation(s)
- Jacek Staszewski
- Clinic of Neurology, Military Institute of Medicine, Szaserow 128, Warsaw 04-141, Poland.
| | | | - Bogdan Brodacki
- Clinic of Neurology, Military Institute of Medicine, Szaserow 128, Warsaw 04-141, Poland
| | - Ewa Skrobowska
- Department of Radiology, Military Institute of Medicine, Szaserow 128, Warsaw 04-141, Poland
| | - Adam Stępień
- Clinic of Neurology, Military Institute of Medicine, Szaserow 128, Warsaw 04-141, Poland
| |
Collapse
|
41
|
van Dalen JW, Moll van Charante EP, Caan MW, Scheltens P, Majoie CB, Nederveen AJ, van Gool WA, Richard E. Effect of Long-Term Vascular Care on Progression of Cerebrovascular Lesions. Stroke 2017; 48:1842-1848. [DOI: 10.1161/strokeaha.117.017207] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 05/02/2017] [Accepted: 05/05/2017] [Indexed: 12/23/2022]
Affiliation(s)
- Jan Willem van Dalen
- From the Department of Neurology (J.W.v.D., W.A.v.G., E.R.), Department of General Practice (E.P.M.v.C.), and Department of Radiology (M.W.A.C., C.B.L.M.M., A.J.N.), Academic Medical Center, Amsterdam, the Netherlands; Department of Neurology, VU Medical Center, Alzheimer Center, Amsterdam, the Netherlands (P.S.); Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands (E.R.)
| | - Eric P. Moll van Charante
- From the Department of Neurology (J.W.v.D., W.A.v.G., E.R.), Department of General Practice (E.P.M.v.C.), and Department of Radiology (M.W.A.C., C.B.L.M.M., A.J.N.), Academic Medical Center, Amsterdam, the Netherlands; Department of Neurology, VU Medical Center, Alzheimer Center, Amsterdam, the Netherlands (P.S.); Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands (E.R.)
| | - Matthan W.A. Caan
- From the Department of Neurology (J.W.v.D., W.A.v.G., E.R.), Department of General Practice (E.P.M.v.C.), and Department of Radiology (M.W.A.C., C.B.L.M.M., A.J.N.), Academic Medical Center, Amsterdam, the Netherlands; Department of Neurology, VU Medical Center, Alzheimer Center, Amsterdam, the Netherlands (P.S.); Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands (E.R.)
| | - Philip Scheltens
- From the Department of Neurology (J.W.v.D., W.A.v.G., E.R.), Department of General Practice (E.P.M.v.C.), and Department of Radiology (M.W.A.C., C.B.L.M.M., A.J.N.), Academic Medical Center, Amsterdam, the Netherlands; Department of Neurology, VU Medical Center, Alzheimer Center, Amsterdam, the Netherlands (P.S.); Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands (E.R.)
| | - Charles B.L.M. Majoie
- From the Department of Neurology (J.W.v.D., W.A.v.G., E.R.), Department of General Practice (E.P.M.v.C.), and Department of Radiology (M.W.A.C., C.B.L.M.M., A.J.N.), Academic Medical Center, Amsterdam, the Netherlands; Department of Neurology, VU Medical Center, Alzheimer Center, Amsterdam, the Netherlands (P.S.); Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands (E.R.)
| | - Aart J. Nederveen
- From the Department of Neurology (J.W.v.D., W.A.v.G., E.R.), Department of General Practice (E.P.M.v.C.), and Department of Radiology (M.W.A.C., C.B.L.M.M., A.J.N.), Academic Medical Center, Amsterdam, the Netherlands; Department of Neurology, VU Medical Center, Alzheimer Center, Amsterdam, the Netherlands (P.S.); Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands (E.R.)
| | - Willem A. van Gool
- From the Department of Neurology (J.W.v.D., W.A.v.G., E.R.), Department of General Practice (E.P.M.v.C.), and Department of Radiology (M.W.A.C., C.B.L.M.M., A.J.N.), Academic Medical Center, Amsterdam, the Netherlands; Department of Neurology, VU Medical Center, Alzheimer Center, Amsterdam, the Netherlands (P.S.); Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands (E.R.)
| | - Edo Richard
- From the Department of Neurology (J.W.v.D., W.A.v.G., E.R.), Department of General Practice (E.P.M.v.C.), and Department of Radiology (M.W.A.C., C.B.L.M.M., A.J.N.), Academic Medical Center, Amsterdam, the Netherlands; Department of Neurology, VU Medical Center, Alzheimer Center, Amsterdam, the Netherlands (P.S.); Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands (E.R.)
| |
Collapse
|
42
|
Appleton JP, Scutt P, Sprigg N, Bath PM. Hypercholesterolaemia and vascular dementia. Clin Sci (Lond) 2017; 131:1561-78. [PMID: 28667059 DOI: 10.1042/CS20160382] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2016] [Revised: 03/08/2017] [Accepted: 03/21/2017] [Indexed: 12/30/2022]
Abstract
Vascular dementia (VaD) is the second commonest cause of dementia. Stroke is the leading cause of disability in adults in developed countries, the second major cause of dementia and the third commonest cause of death. Traditional vascular risk factors-diabetes, hypercholesterolaemia, hypertension and smoking-are implicated as risk factors for VaD. The associations between cholesterol and small vessel disease (SVD), stroke, cognitive impairment and subsequent dementia are complex and as yet not fully understood. Similarly, the effects of lipids and lipid-lowering therapy on preventing or treating dementia remain unclear; the few trials that have assessed lipid-lowering therapy for preventing (two trials) or treating (four trials) dementia found no evidence to support the use of lipid-lowering therapy for these indications. It is appropriate to treat those patients with vascular risk factors that meet criteria for lipid-lowering therapy for the primary and secondary prevention of cardiovascular and cerebrovascular events, and in line with current guidelines. Managing the individual patient in a holistic manner according to his or her own vascular risk profile is recommended. Although the paucity of randomized controlled evidence makes for challenging clinical decision making, it provides multiple opportunities for on-going and future research, as discussed here.
Collapse
|
43
|
Schilling S, Tzourio C, Soumaré A, Kaffashian S, Dartigues JF, Ancelin ML, Samieri C, Dufouil C, Debette S. Differential associations of plasma lipids with incident dementia and dementia subtypes in the 3C Study: A longitudinal, population-based prospective cohort study. PLoS Med 2017; 14:e1002265. [PMID: 28350817 PMCID: PMC5369688 DOI: 10.1371/journal.pmed.1002265] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Accepted: 02/14/2017] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Vascular risk factors have been proposed as important targets for the prevention of dementia. As lipid fractions represent easily modifiable targets, we examined the longitudinal relationship of baseline lipid fractions with 13-y incident dementia and its subtypes (Alzheimer disease [AD] and mixed or vascular dementia) in older community-dwelling persons. METHODS AND FINDINGS Non-institutionalized persons aged 65+ y (n = 9,294) were recruited for the Three-City Study (3C Study), a population-based cohort study from the electoral rolls of the cities of Dijon, Bordeaux, and Montpellier, France, between March 1999 and March 2001. Follow-up examinations were performed every 2 y after the baseline assessment. The final study sample comprised 7,470 participants from the 3C Study (mean age ± standard deviation [SD] 73.8 ± 5.3 y, 61.0% women) who were prospectively followed up for up to 13 y. Fasting lipid fractions (triglycerides [TGs], high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol [LDL-C], total cholesterol [TC]) were studied as continuous variables, and results are reported per SD increase of each lipid fraction. Incident dementia and its subtypes were studied as censored variables using Cox models with age as time scale. Analyses were adjusted for sex, study center, and educational level, as well as vascular risk factors and apolipoprotein E (APOE) ε4 genotype. We corrected for multiple testing, yielding a significance threshold of 0.0169. p-Values above the significance threshold but less than 0.05 were considered nominally significant. During a mean (± SD) follow-up period of 7.9 ± 3.6 y, 779 participants developed incident dementia (n = 532 AD and n = 154 mixed or vascular dementia). Higher LDL-C and TC concentrations at baseline were associated with an increased risk of AD (hazard ratio [HR] per SD increase = 1.13 [95% CI 1.04-1.22], p = 0.0045, and HR = 1.12 [1.03-1.22], p = 0.0072, respectively). These associations were largely unchanged after adjustment for vascular risk factors and were attenuated after adjustment for APOEε4 (HR per SD increase = 1.12 [1.03-1.23], p = 0.0110, and HR = 1.12 [1.02-1.23], p = 0.0171, respectively). Higher TG concentrations at baseline were associated with an increased risk of all dementia (HR per SD increase = 1.11 [1.03-1.19], p = 0.0044) and mixed or vascular dementia (HR = 1.21 [1.04-1.41], p = 0.0163). However, these associations disappeared after adjusting for vascular risk factors (HR = 1.07 [0.98-1.17], p = 0.1374, and HR = 1.17 [0.96-1.42], p = 0.1206, respectively). Main limitations of the study include interval censoring of incident dementia cases, potential selective survival bias, and the fact that variation in lipid concentrations during follow-up could not be accounted for in the analyses. CONCLUSIONS In a large population-based sample of older community-dwelling persons with up to 13 y of follow-up, we observed that higher LDL-C and TC concentrations were associated with an increased risk of AD. This result was independent of vascular risk factors and was attenuated after adjustment for APOEε4 carrier status. TG and HDL-C concentrations were not associated with risk of incident dementia or its subtypes after accounting for vascular risk factors.
Collapse
Affiliation(s)
- Sabrina Schilling
- University of Bordeaux, Bordeaux, France
- Inserm U1219, Bordeaux, France
| | - Christophe Tzourio
- University of Bordeaux, Bordeaux, France
- Inserm U1219, Bordeaux, France
- Department of Public Health, Bordeaux University Hospital, Bordeaux, France
| | - Aïcha Soumaré
- University of Bordeaux, Bordeaux, France
- Inserm U1219, Bordeaux, France
| | - Sara Kaffashian
- University of Bordeaux, Bordeaux, France
- Inserm U1219, Bordeaux, France
| | - Jean-François Dartigues
- University of Bordeaux, Bordeaux, France
- Inserm U1219, Bordeaux, France
- ISPED, University of Bordeaux, Bordeaux, France
| | - Marie-Laure Ancelin
- Inserm U1061, Montpellier, France
- University of Montpellier, Montpellier, France
| | - Cécilia Samieri
- University of Bordeaux, Bordeaux, France
- Inserm U1219, Bordeaux, France
| | - Carole Dufouil
- University of Bordeaux, Bordeaux, France
- Inserm U1219, Bordeaux, France
| | - Stéphanie Debette
- University of Bordeaux, Bordeaux, France
- Inserm U1219, Bordeaux, France
- Memory Clinic, Department of Neurology, Bordeaux University Hospital, Bordeaux, France
- Framingham Heart Study, Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
- * E-mail:
| |
Collapse
|
44
|
Abstract
White matter hyperintensity (WMH) is a brain lesion detected as a high-intensity area in magnetic resonance imaging T2 and fluid-attenuated inversion recovery images, and it has been suggested that WMH reflects damage to small vessels in periventricular and subcortical areas. Although WMH has been linked to the incidence of stroke, more recently it has been clarified that WMH is also associated with progression of cognitive decline and functional disability, which are components of so-called geriatric syndrome. In addition to hypertension, which is the classical risk factor for WMH, evidence has been accumulating to suggest that diabetes mellitus could also be associated with WMH progression, and some studies have shown that WMH severity is correlated with cognitive decline in patients with diabetes. The factors that accelerate WMH formation in elderly patients with diabetes remain poorly defined. It is considered that insulin resistance is an exacerbating factor, but the effects of hypertension, dyslipidemia or other vascular risk factors have yet be clarified, and further studies are required.
Collapse
Affiliation(s)
- Yoshiaki Tamura
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
| | - Atsushi Araki
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
| |
Collapse
|
45
|
Kaffashian S, Tzourio C, Zhu YC, Mazoyer B, Debette S. Differential Effect of White-Matter Lesions and Covert Brain Infarcts on the Risk of Ischemic Stroke and Intracerebral Hemorrhage. Stroke 2016; 47:1923-5. [PMID: 27283199 DOI: 10.1161/strokeaha.116.012734] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 04/29/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE We examined the association of white-matter hyperintensity (WMH) volume and covert brain infarcts, which are the 2 major magnetic resonance imaging markers of covert cerebrovascular disease in older adults, with long-term risk of ischemic stroke and intracerebral hemorrhage (ICH) in the general population. METHODS Participants were 1731 individuals aged ≥65 years from the Three-City Dijon study. We studied the association of WMH volume and brain infarct, with incident ischemic stroke overall, and by subtype, and with incident ICH. RESULTS High total, periventricular, and deep WMHs were associated with incident ICH. Extensive periventricular WMH volume was associated with increased risk of ischemic stroke (hazard ratio, 1.94; 95% confidence interval, 1.12-3.35), particularly cardioembolic stroke. Covert brain infarcts were associated with incident ICH but not with incident ischemic stroke or its subtypes. CONCLUSIONS Although of ischemic nature, both WMH volume and covert brain infarcts portend a major risk of ICH. If confirmed in independent studies, these findings could have important implications for the clinical management of covert vascular brain lesions.
Collapse
Affiliation(s)
- Sara Kaffashian
- From INSERM U1219 (S.K., C.T., S.D.) and CNRS-CEA UMR 5296 (B.M.), University of Bordeaux, Bordeaux Cedex, France; Department of Neurology, Peking Union Medical College Hospital, Beijing, China (Y.-C.Z.); and Department of Neurology, Bordeaux University Hospital, Bordeaux Cedex, France (S.D.)
| | - Christophe Tzourio
- From INSERM U1219 (S.K., C.T., S.D.) and CNRS-CEA UMR 5296 (B.M.), University of Bordeaux, Bordeaux Cedex, France; Department of Neurology, Peking Union Medical College Hospital, Beijing, China (Y.-C.Z.); and Department of Neurology, Bordeaux University Hospital, Bordeaux Cedex, France (S.D.)
| | - Yi-Cheng Zhu
- From INSERM U1219 (S.K., C.T., S.D.) and CNRS-CEA UMR 5296 (B.M.), University of Bordeaux, Bordeaux Cedex, France; Department of Neurology, Peking Union Medical College Hospital, Beijing, China (Y.-C.Z.); and Department of Neurology, Bordeaux University Hospital, Bordeaux Cedex, France (S.D.)
| | - Bernard Mazoyer
- From INSERM U1219 (S.K., C.T., S.D.) and CNRS-CEA UMR 5296 (B.M.), University of Bordeaux, Bordeaux Cedex, France; Department of Neurology, Peking Union Medical College Hospital, Beijing, China (Y.-C.Z.); and Department of Neurology, Bordeaux University Hospital, Bordeaux Cedex, France (S.D.)
| | - Stéphanie Debette
- From INSERM U1219 (S.K., C.T., S.D.) and CNRS-CEA UMR 5296 (B.M.), University of Bordeaux, Bordeaux Cedex, France; Department of Neurology, Peking Union Medical College Hospital, Beijing, China (Y.-C.Z.); and Department of Neurology, Bordeaux University Hospital, Bordeaux Cedex, France (S.D.).
| |
Collapse
|
46
|
|
47
|
Wright CB, Shah NH, Mendez AJ, DeRosa JT, Yoshita M, Elkind MSV, Sacco RL, DeCarli C, Rundek T, Silverberg S, Dong C, Wolf M. Fibroblast Growth Factor 23 Is Associated With Subclinical Cerebrovascular Damage: The Northern Manhattan Study. Stroke 2016; 47:923-8. [PMID: 26956260 DOI: 10.1161/strokeaha.115.012379] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Accepted: 02/11/2016] [Indexed: 01/28/2023]
Abstract
BACKGROUND AND PURPOSE Elevated fibroblast growth factor 23 (FGF23) regulates phosphate homeostasis and is linked with mortality, cardiovascular events, and stroke. However, the role of FGF23 as a risk factor for subclinical cerebrovascular damage is unclear. METHODS We used multivariable linear and logistic regression to evaluate associations between FGF23, continuously and by quartiles, with white matter hyperintensity volume, expressed as percent intracranial volume (%ICV), and subclinical brain infarction (SBI) in a community-based stroke-free sample. RESULTS There were 1170 stroke-free Northern Manhattan Study (NOMAS) participants with FGF23 levels and quantitative magnetic resonance imaging data on white matter hyperintensity volume and SBI. Participants with FGF23 levels in the top quartile (range=85-1425 RU/mL) had greater white matter hyperintensity volume (β=0.19 %ICV; 95% CI, 0.04-0.33 %ICV; P=0.01) compared with those in the lowest quartile (range=15-49 RU/mL), adjusted for demographics, vascular risk factors, and estimated glomerular filtration rate. These findings remained significant in those without evidence of chronic kidney disease (estimated glomerular filtration rate <60 mL/min per 1.73 m(2)). Elevated FGF23 was not associated with SBI overall after adjusting for demographic factors and estimated glomerular filtration rate, but sex modified the effect of FGF23 on odds of SBI (P for interaction=0.03). FGF23 was associated with significantly greater odds of SBI only in men (odds ratio, 1.7; 95% CI, 1.1-2.7; P=0.03) after full adjustment. CONCLUSIONS These cross-sectional community-based data from a diverse urban sample show an association between elevated FGF23 and small vessel disease and magnetic resonance imaging-defined brain infarction in men, independent of chronic kidney disease. Data on elevated FGF23 and subclinical cerebrovascular damage progression are needed.
Collapse
Affiliation(s)
- Clinton B Wright
- From the Evelyn F. McKnight Brain Institute (C.B.W., N.H.S., R.L.S., T.R., C.D.) and the Departments of Neurology (C.B.W., R.L.S., T.R., C.D.), Public Health Sciences (C.B.W., R.L.S., T.R.), Human Genomics (R.L.S., T.R.), Medicine (A.J.M.), and the Neuroscience Program (C.B.W., R.L.S.), Leonard M. Miller School of Medicine, University of Miami, FL; Department of Neurology, University of California, San Francisco (N.H.S.); Department of Neurology, College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (J.T.D., M.S.V.E., S.S.); National Hospital Organization, Hokuriku National Hospital, Japan (M.Y.); Department of Neurology, University of California at Davis Health System, Sacramento (C.D.); Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (M.W.).
| | - Nirav H Shah
- From the Evelyn F. McKnight Brain Institute (C.B.W., N.H.S., R.L.S., T.R., C.D.) and the Departments of Neurology (C.B.W., R.L.S., T.R., C.D.), Public Health Sciences (C.B.W., R.L.S., T.R.), Human Genomics (R.L.S., T.R.), Medicine (A.J.M.), and the Neuroscience Program (C.B.W., R.L.S.), Leonard M. Miller School of Medicine, University of Miami, FL; Department of Neurology, University of California, San Francisco (N.H.S.); Department of Neurology, College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (J.T.D., M.S.V.E., S.S.); National Hospital Organization, Hokuriku National Hospital, Japan (M.Y.); Department of Neurology, University of California at Davis Health System, Sacramento (C.D.); Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (M.W.)
| | - Armando J Mendez
- From the Evelyn F. McKnight Brain Institute (C.B.W., N.H.S., R.L.S., T.R., C.D.) and the Departments of Neurology (C.B.W., R.L.S., T.R., C.D.), Public Health Sciences (C.B.W., R.L.S., T.R.), Human Genomics (R.L.S., T.R.), Medicine (A.J.M.), and the Neuroscience Program (C.B.W., R.L.S.), Leonard M. Miller School of Medicine, University of Miami, FL; Department of Neurology, University of California, San Francisco (N.H.S.); Department of Neurology, College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (J.T.D., M.S.V.E., S.S.); National Hospital Organization, Hokuriku National Hospital, Japan (M.Y.); Department of Neurology, University of California at Davis Health System, Sacramento (C.D.); Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (M.W.)
| | - Janet T DeRosa
- From the Evelyn F. McKnight Brain Institute (C.B.W., N.H.S., R.L.S., T.R., C.D.) and the Departments of Neurology (C.B.W., R.L.S., T.R., C.D.), Public Health Sciences (C.B.W., R.L.S., T.R.), Human Genomics (R.L.S., T.R.), Medicine (A.J.M.), and the Neuroscience Program (C.B.W., R.L.S.), Leonard M. Miller School of Medicine, University of Miami, FL; Department of Neurology, University of California, San Francisco (N.H.S.); Department of Neurology, College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (J.T.D., M.S.V.E., S.S.); National Hospital Organization, Hokuriku National Hospital, Japan (M.Y.); Department of Neurology, University of California at Davis Health System, Sacramento (C.D.); Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (M.W.)
| | - Mitsuhiro Yoshita
- From the Evelyn F. McKnight Brain Institute (C.B.W., N.H.S., R.L.S., T.R., C.D.) and the Departments of Neurology (C.B.W., R.L.S., T.R., C.D.), Public Health Sciences (C.B.W., R.L.S., T.R.), Human Genomics (R.L.S., T.R.), Medicine (A.J.M.), and the Neuroscience Program (C.B.W., R.L.S.), Leonard M. Miller School of Medicine, University of Miami, FL; Department of Neurology, University of California, San Francisco (N.H.S.); Department of Neurology, College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (J.T.D., M.S.V.E., S.S.); National Hospital Organization, Hokuriku National Hospital, Japan (M.Y.); Department of Neurology, University of California at Davis Health System, Sacramento (C.D.); Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (M.W.)
| | - Mitchell S V Elkind
- From the Evelyn F. McKnight Brain Institute (C.B.W., N.H.S., R.L.S., T.R., C.D.) and the Departments of Neurology (C.B.W., R.L.S., T.R., C.D.), Public Health Sciences (C.B.W., R.L.S., T.R.), Human Genomics (R.L.S., T.R.), Medicine (A.J.M.), and the Neuroscience Program (C.B.W., R.L.S.), Leonard M. Miller School of Medicine, University of Miami, FL; Department of Neurology, University of California, San Francisco (N.H.S.); Department of Neurology, College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (J.T.D., M.S.V.E., S.S.); National Hospital Organization, Hokuriku National Hospital, Japan (M.Y.); Department of Neurology, University of California at Davis Health System, Sacramento (C.D.); Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (M.W.)
| | - Ralph L Sacco
- From the Evelyn F. McKnight Brain Institute (C.B.W., N.H.S., R.L.S., T.R., C.D.) and the Departments of Neurology (C.B.W., R.L.S., T.R., C.D.), Public Health Sciences (C.B.W., R.L.S., T.R.), Human Genomics (R.L.S., T.R.), Medicine (A.J.M.), and the Neuroscience Program (C.B.W., R.L.S.), Leonard M. Miller School of Medicine, University of Miami, FL; Department of Neurology, University of California, San Francisco (N.H.S.); Department of Neurology, College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (J.T.D., M.S.V.E., S.S.); National Hospital Organization, Hokuriku National Hospital, Japan (M.Y.); Department of Neurology, University of California at Davis Health System, Sacramento (C.D.); Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (M.W.)
| | - Charles DeCarli
- From the Evelyn F. McKnight Brain Institute (C.B.W., N.H.S., R.L.S., T.R., C.D.) and the Departments of Neurology (C.B.W., R.L.S., T.R., C.D.), Public Health Sciences (C.B.W., R.L.S., T.R.), Human Genomics (R.L.S., T.R.), Medicine (A.J.M.), and the Neuroscience Program (C.B.W., R.L.S.), Leonard M. Miller School of Medicine, University of Miami, FL; Department of Neurology, University of California, San Francisco (N.H.S.); Department of Neurology, College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (J.T.D., M.S.V.E., S.S.); National Hospital Organization, Hokuriku National Hospital, Japan (M.Y.); Department of Neurology, University of California at Davis Health System, Sacramento (C.D.); Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (M.W.)
| | - Tatjana Rundek
- From the Evelyn F. McKnight Brain Institute (C.B.W., N.H.S., R.L.S., T.R., C.D.) and the Departments of Neurology (C.B.W., R.L.S., T.R., C.D.), Public Health Sciences (C.B.W., R.L.S., T.R.), Human Genomics (R.L.S., T.R.), Medicine (A.J.M.), and the Neuroscience Program (C.B.W., R.L.S.), Leonard M. Miller School of Medicine, University of Miami, FL; Department of Neurology, University of California, San Francisco (N.H.S.); Department of Neurology, College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (J.T.D., M.S.V.E., S.S.); National Hospital Organization, Hokuriku National Hospital, Japan (M.Y.); Department of Neurology, University of California at Davis Health System, Sacramento (C.D.); Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (M.W.)
| | - Shonni Silverberg
- From the Evelyn F. McKnight Brain Institute (C.B.W., N.H.S., R.L.S., T.R., C.D.) and the Departments of Neurology (C.B.W., R.L.S., T.R., C.D.), Public Health Sciences (C.B.W., R.L.S., T.R.), Human Genomics (R.L.S., T.R.), Medicine (A.J.M.), and the Neuroscience Program (C.B.W., R.L.S.), Leonard M. Miller School of Medicine, University of Miami, FL; Department of Neurology, University of California, San Francisco (N.H.S.); Department of Neurology, College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (J.T.D., M.S.V.E., S.S.); National Hospital Organization, Hokuriku National Hospital, Japan (M.Y.); Department of Neurology, University of California at Davis Health System, Sacramento (C.D.); Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (M.W.)
| | - Chuanhui Dong
- From the Evelyn F. McKnight Brain Institute (C.B.W., N.H.S., R.L.S., T.R., C.D.) and the Departments of Neurology (C.B.W., R.L.S., T.R., C.D.), Public Health Sciences (C.B.W., R.L.S., T.R.), Human Genomics (R.L.S., T.R.), Medicine (A.J.M.), and the Neuroscience Program (C.B.W., R.L.S.), Leonard M. Miller School of Medicine, University of Miami, FL; Department of Neurology, University of California, San Francisco (N.H.S.); Department of Neurology, College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (J.T.D., M.S.V.E., S.S.); National Hospital Organization, Hokuriku National Hospital, Japan (M.Y.); Department of Neurology, University of California at Davis Health System, Sacramento (C.D.); Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (M.W.)
| | - Myles Wolf
- From the Evelyn F. McKnight Brain Institute (C.B.W., N.H.S., R.L.S., T.R., C.D.) and the Departments of Neurology (C.B.W., R.L.S., T.R., C.D.), Public Health Sciences (C.B.W., R.L.S., T.R.), Human Genomics (R.L.S., T.R.), Medicine (A.J.M.), and the Neuroscience Program (C.B.W., R.L.S.), Leonard M. Miller School of Medicine, University of Miami, FL; Department of Neurology, University of California, San Francisco (N.H.S.); Department of Neurology, College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (J.T.D., M.S.V.E., S.S.); National Hospital Organization, Hokuriku National Hospital, Japan (M.Y.); Department of Neurology, University of California at Davis Health System, Sacramento (C.D.); Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (M.W.)
| |
Collapse
|
48
|
Vilar-Bergua A, Riba-Llena I, Nafría C, Bustamante A, Llombart V, Delgado P, Montaner J. Blood and CSF biomarkers in brain subcortical ischemic vascular disease: Involved pathways and clinical applicability. J Cereb Blood Flow Metab 2016; 36:55-71. [PMID: 25899297 DOI: 10.1038/jcbfm.2015.68] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2015] [Revised: 03/20/2015] [Accepted: 03/21/2015] [Indexed: 12/26/2022]
Abstract
Vascular dementia is the second most common type of dementia after Alzheimer’s disease (AD). Subcortical ischemic vascular disease refers to a form of vascular cognitive impairment characterized by the presence of diffuse white matter hyperintensities (WMHs) and multiple lacunar infarcts. These neuroimaging findings are mainly caused by cerebral small-vessel disease (cSVD) and relate to aging and cognitive impairment, but they can also be silent and highly prevalent in otherwise healthy individuals. We aimed to review studies on blood and cerebrospinal fluid (CSF) markers related to the presence of WMHs and lacunar infarcts that have been conducted in the past in large population-based studies and in high-risk selected patients (such as those with vascular risk factors, vascular cognitive impairment, or AD). Relevant associations with the presence and progression of cSVD have been described in the blood for markers related to inflammatory processes, endothelial damage and coagulation/fibrinolysis processes, etc. Also, different combinations of CSF markers might help to differentiate between etiologic types of dementia. In the future, to translate these findings into clinical practice and use biomarkers to early diagnosis and monitoring vascular cognitive impairment would require the replication of candidate markers in large-scale, multicenter, and prospectively designed studies.
Collapse
|
49
|
Abraham HMA, Wolfson L, Moscufo N, Guttmann CRG, Kaplan RF, White WB. Cardiovascular risk factors and small vessel disease of the brain: Blood pressure, white matter lesions, and functional decline in older persons. J Cereb Blood Flow Metab 2016; 36:132-42. [PMID: 26036933 PMCID: PMC4758547 DOI: 10.1038/jcbfm.2015.121] [Citation(s) in RCA: 97] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2014] [Revised: 04/30/2015] [Accepted: 05/11/2015] [Indexed: 01/05/2023]
Abstract
Several potential vascular risk factors exist for the development and accumulation of subcortical white matter disease in older people. We have reported that in older people followed for up to 4 years white matter hyperintensity (WMH) lesions on magnetic resonance imaging nearly doubled in volume and were associated with alterations in mobility and cognitive function. Herein we review the genetic, metabolic, and vascular risk factors that have been evaluated in association with the development and pathogenesis of WMH in older persons. Our research efforts have focused on systemic hypertension, particularly in the out-of-office setting as 24-hour ambulatory blood pressure (BP) has proven to be a stronger indicator of the progression of WMH in older people and the associated functional decline than doctor’s office BP. Based on relations between 24-hour systolic BP levels, the accrual of WMH, and functional decline, we have designed the INFINITY trial, the first interventional study to use ambulatory BP to guide antihypertensive therapy to address this problem in the geriatric population.
Collapse
Affiliation(s)
- Hazel Mae A Abraham
- Calhoun Cardiology Center and Department of Medicine, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Leslie Wolfson
- Department of Neurology, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Nicola Moscufo
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Charles R G Guttmann
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Richard F Kaplan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - William B White
- Calhoun Cardiology Center and Department of Medicine, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| |
Collapse
|
50
|
Pistollato F, Cano SS, Elio I, Vergara MM, Giampieri F, Battino M. The Use of Neuroimaging to Assess Associations Among Diet, Nutrients, Metabolic Syndrome, and Alzheimer’s Disease. J Alzheimers Dis 2015; 48:303-18. [DOI: 10.3233/jad-150301] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Francesca Pistollato
- Centre for Nutrition and Health, Universidad Europea del Atlántico (UEA), Santander, Spain
| | - Sandra Sumalla Cano
- Centre for Nutrition and Health, Universidad Europea del Atlántico (UEA), Santander, Spain
- Universidad Internacional Iberoamericana (UNINI), Campeche, Mexico
- Fundación Universitaria Iberoamericana, (FUNIBER), Barcelona, Spain
| | - Iñaki Elio
- Centre for Nutrition and Health, Universidad Europea del Atlántico (UEA), Santander, Spain
- Universidad Internacional Iberoamericana (UNINI), Campeche, Mexico
- Fundación Universitaria Iberoamericana, (FUNIBER), Barcelona, Spain
| | - Manuel Masias Vergara
- Centre for Nutrition and Health, Universidad Europea del Atlántico (UEA), Santander, Spain
- Universidad Internacional Iberoamericana (UNINI), Puerto Rico, USA
| | - Francesca Giampieri
- Centre for Nutrition and Health, Universidad Europea del Atlántico (UEA), Santander, Spain
- Dipartimento di Scienze Cliniche Specialistiche ed Odontostomatologiche, Sez. Biochimica, Università Politecnica delle Marche, Ancona, Italy
| | - Maurizio Battino
- Centre for Nutrition and Health, Universidad Europea del Atlántico (UEA), Santander, Spain
- Dipartimento di Scienze Cliniche Specialistiche ed Odontostomatologiche, Sez. Biochimica, Università Politecnica delle Marche, Ancona, Italy
| |
Collapse
|