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NeuroImage. Clinical 2021Brain arteriolosclerosis, one of the main pathologies of cerebral small vessel disease, is common in older adults and has been linked to lower cognitive and motor...
Brain arteriolosclerosis, one of the main pathologies of cerebral small vessel disease, is common in older adults and has been linked to lower cognitive and motor function and higher odds of dementia. In spite of its frequency and associated morbidity, arteriolosclerosis can only be diagnosed at autopsy. Therefore, the purpose of this work was to develop an in-vivo classifier of arteriolosclerosis based on brain MRI. First, an ex-vivo classifier of arteriolosclerosis was developed based on features related to white matter hyperintensities, diffusion anisotropy and demographics by applying machine learning to ex-vivo MRI and pathology data from 119 participants of the Rush Memory and Aging Project (MAP) and Religious Orders Study (ROS), two longitudinal cohort studies of aging that recruit non-demented older adults. The ex-vivo classifier showed good performance in predicting the presence of arteriolosclerosis, with an average area under the receiver operating characteristic curve AUC = 0.78. The ex-vivo classifier was then translated to in-vivo based on available in-vivo and ex-vivo MRI data on the same participants. The in-vivo classifier was named ARTS (short for ARTerioloSclerosis), is fully automated, and provides a score linked to the likelihood a person suffers from arteriolosclerosis. The performance of ARTS in predicting the presence of arteriolosclerosis in-vivo was tested in a separate, 91% dementia-free group of 79 MAP/ROS participants and exhibited an AUC = 0.79 in persons with antemortem intervals shorter than 2.4 years. This level of performance in mostly non-demented older adults is notable considering that arteriolosclerosis can only be diagnosed at autopsy. The scan-rescan reproducibility of the ARTS score was excellent, with an intraclass correlation of 0.99, suggesting that application of ARTS in longitudinal studies may show high sensitivity in detecting small changes. Finally, higher ARTS scores in non-demented older adults were associated with greater decline in cognition two years after baseline MRI, especially in perceptual speed which has been linked to arteriolosclerosis and small vessel disease. This finding was shown in a separate group of 369 non-demented MAP/ROS participants and was validated in 72 non-demented Black participants of the Minority Aging Research Study (MARS) and also in 244 non-demented participants of the Alzheimer's Disease Neuroimaging Initiative 2 and 3. The results of this work suggest that ARTS may have broad implications in the advancement of diagnosis, prevention and treatment of arteriolosclerosis. ARTS is publicly available at https://www.nitrc.org/projects/arts/.
Topics: Aged; Alzheimer Disease; Arteriolosclerosis; Brain; Humans; Longitudinal Studies; Magnetic Resonance Imaging; Reproducibility of Results
PubMed: 34330087
DOI: 10.1016/j.nicl.2021.102768 -
Stroke Jan 2020
Review
Topics: Arteriolosclerosis; Cerebral Small Vessel Diseases; Humans; Ischemia; Magnetic Resonance Imaging; Mutation; Stroke
PubMed: 31752611
DOI: 10.1161/STROKEAHA.119.024151 -
Journal of Stroke and Cerebrovascular... Sep 2021Studying the neuropathologic autopsy findings in subjects with chronic kidney disease (CKD) or chronic renal failure (CRF) is difficult for several reasons: etiology of... (Review)
Review
Studying the neuropathologic autopsy findings in subjects with chronic kidney disease (CKD) or chronic renal failure (CRF) is difficult for several reasons: etiology of the CKD may be heterogeneous, affected patients may have one or more major co-morbidities that themselves can cause significant neurologic disease, and agonal events may result in significant findings that were of minimal significance earlier in a patient's life. We studied the constellation of neuropathologic abnormalities in 40 autopsy brains originating from subjects of ages 34-95 years (no children in the study). The most common pathologic change was that of ischemic infarcts (cystic, lacunar and/or microinfarcts), which were seen in over half of subjects. These were associated with both large artery atherosclerosis and arteriolosclerosis (A/S), the latter finding being present in 29/40 subjects. Charcot-Bouchard microaneurysms were present in the brains of three subjects, in one case associated with severe amyloid angiopathy. Microvascular calcinosis (medial sclerosis in the case of arterioles) was seen in the basal ganglia (n=8) and/or endplate region of the hippocampus (n=7) and occasional ischemic infarcts in one brain showed severe calcification. Sequelae of cerebrovascular disease (especially A/S or microvascular disease) are a common neuropathologic substrate for neurologic disability and brain lesions in this complex group of patients. Regulation of calcium metabolism within brain microvessel walls may be worthy of further research in both human brain specimens and animal models.
Topics: Adult; Aged; Aged, 80 and over; Animals; Arteriolosclerosis; Autopsy; Brain; Cerebral Arteries; Cerebral Small Vessel Diseases; Cerebrovascular Disorders; Female; Humans; Male; Middle Aged; Renal Insufficiency, Chronic; Vascular Calcification
PubMed: 33579545
DOI: 10.1016/j.jstrokecerebrovasdis.2021.105657 -
Handbook of Clinical Neurology 2023Parkinson's disease is a progressive neurodegenerative disorder that is associated with motor and nonmotor symptoms. Accumulation of misfolded α-synuclein is considered... (Review)
Review
Parkinson's disease is a progressive neurodegenerative disorder that is associated with motor and nonmotor symptoms. Accumulation of misfolded α-synuclein is considered a key pathological feature during disease initiation and progression. While clearly deemed a synucleinopathy, the development of amyloid-β plaques, tau-containing neurofibrillary tangles, and even TDP-43 protein inclusions occur within the nigrostriatal system and in other brain regions. In addition, inflammatory responses, manifested by glial reactivity, T-cell infiltration, and increased expression of inflammatory cytokines, plus other toxic mediators derived from activated glial cells, are currently recognized as prominent drivers of Parkinson's disease pathology. However, copathologies have increasingly been recognized as the rule (>90%) and not the exception, with Parkinson's disease cases on average exhibiting three different copathologies. While microinfarcts, atherosclerosis, arteriolosclerosis, and cerebral amyloid angiopathy may have an impact on disease progression, α-synuclein, amyloid-β, and TDP-43 pathology do not seem to contribute to progression.
Topics: Humans; alpha-Synuclein; Parkinson Disease; tau Proteins; Neurofibrillary Tangles; Amyloid beta-Peptides; DNA-Binding Proteins; Alzheimer Disease
PubMed: 36796948
DOI: 10.1016/B978-0-323-85538-9.00012-2 -
Seminars in Neurology Aug 2020Chronic traumatic encephalopathy (CTE) is a tauopathy associated with repetitive mild head trauma, including concussion and asymptomatic subconcussive impacts. CTE was... (Review)
Review
Chronic traumatic encephalopathy (CTE) is a tauopathy associated with repetitive mild head trauma, including concussion and asymptomatic subconcussive impacts. CTE was first recognized in boxers almost a century ago and has been identified more recently in contact sports athletes, military veterans exposed to blast, and victims of domestic violence. Like most neurodegenerative diseases, CTE is diagnosed conclusively by a neuropathological examination of brain tissue. CTE is characterized by the buildup of hyperphosphorylated tau (p-tau) in neurofibrillary tangles (NFTs), neurites, and, sometimes, astrocytes, surrounding small blood vessels in a patchy distribution at the sulcal depths of the cerebral cortex. In 2015, using the McKee proposed criteria for the neuropathological diagnosis of CTE, a consensus panel of expert neuropathologists confirmed CTE as a unique neurodegenerative disease with a pathognomonic lesion and published the preliminary NINDS (National Institute of Neurological Disorders and Stroke) criteria for CTE. Since that time, the NINDS criteria for CTE have been implemented and validated in multiple international publications. Using the NINDS criteria, the largest clinicopathological series of CTE to date was reported that included 177 former American football players, including 110 (99%) of 111 former National Football League players, 48 (91%) of 53 former college football players, and 3 (21%) of 14 former high school players. Studies have also shown a significant association between cumulative exposure to repetitive head trauma, as judged by the length of American football playing career, and risk for and severity of CTE. There is also a significant relationship of the length of football playing career with p-tau pathology, inflammation, white matter rarefaction, and age at death in CTE. While p-tau pathology, inflammation, white matter rarefaction, and arteriolosclerosis contribute to dementia in CTE, whether they also influence the behavioral and mood symptoms in CTE has yet to be determined. There have been several instances of aging-related tau astrogliopathy (ARTAG), a common astrocytic pathology in the elderly, misdiagnosed as CTE in the recent literature, provoking claims that CTE pathology is present in people not known to have experienced repetitive head trauma. Although ARTAG is often found in CTE, the pathognomonic lesion of CTE is a lesion consisting of NFTs and neurites, with or without p-tau immunoreactive astrocytes. Some authors consider β-amyloid (Aβ) to be a primary feature of CTE, yet the data indicate that CTE is a primary tauopathy, with Aβ deposition a function of age and inheritance of the ApoEe4 allele. Some authors also question the progressive nature of CTE pathology, although there is clear evidence in most individuals that p-tau pathology increases in density and affects more brain regions with survival. This review is intended to outline the status of the evidence-based literature regarding CTE neuropathology and to address the misrepresentations and confusions that have arisen in recent reviews and a letter of correspondence.
Topics: Athletic Injuries; Chronic Traumatic Encephalopathy; Humans; Tauopathies
PubMed: 32712946
DOI: 10.1055/s-0040-1713632 -
Annals of Neurology Jan 2023Determining the underlying causes of intracerebral hemorrhage (ICH) is of major importance, because risk factors, prognosis, and management differ by ICH subtype. We...
OBJECTIVE
Determining the underlying causes of intracerebral hemorrhage (ICH) is of major importance, because risk factors, prognosis, and management differ by ICH subtype. We developed a new causal CLASsification system for ICH Subtypes, termed CLAS-ICH, based on recent advances in neuroimaging.
METHODS
CLAS-ICH defines 5 ICH subtypes: arteriolosclerosis, cerebral amyloid angiopathy, mixed small vessel disease (SVD), other rare forms of SVD (genetic SVD and others), and secondary causes (macrovascular causes, tumor, and other rare causes). Every patient is scored in each category according to the level of diagnostic evidence: (1) well-defined ICH subtype; (2) possible underlying disease; and (0) no evidence of the disease. We evaluated CLAS-ICH in a derivation cohort of 113 patients with ICH from Massachusetts General Hospital, Boston, USA, and in a derivation cohort of 203 patients from Inselspital, Bern, Switzerland.
RESULTS
In the derivation cohort, a well-defined ICH subtype could be identified in 74 (65.5%) patients, including 24 (21.2%) with arteriolosclerosis, 23 (20.4%) with cerebral amyloid angiopathy, 18 (15.9%) with mixed SVD, and 9 (8.0%) with a secondary cause. One or more possible causes were identified in 42 (37.2%) patients. Interobserver agreement was excellent for each category (kappa value ranging from 0.86 to 1.00). Despite substantial differences in imaging modalities, we obtained similar results in the validation cohort.
INTERPRETATION
CLAS-ICH is a simple and reliable classification system for ICH subtyping, that captures overlap between causes and the level of diagnostic evidence. CLAS-ICH may guide clinicians to identify ICH causes, and improve ICH classification in multicenter studies. ANN NEUROL 2023;93:16-28.
Topics: Humans; Arteriolosclerosis; Cerebral Hemorrhage; Cerebral Amyloid Angiopathy; Risk Factors; Neuroimaging; Magnetic Resonance Imaging
PubMed: 36197294
DOI: 10.1002/ana.26519 -
Journal of Neuropathology and... Dec 2022The literature regarding the neuropathological findings in cases of SARS-CoV-2 infection, which causes coronavirus disease 2019 (COVID-19), is expanding. We identified...
The literature regarding the neuropathological findings in cases of SARS-CoV-2 infection, which causes coronavirus disease 2019 (COVID-19), is expanding. We identified 72 patients who died of COVID-19 (n = 48) or had recovered shortly before death (n = 24) and had autopsies performed at our institution (49 males, 23 females; median age at death 76.4 years, range: 0.0-95.0 years). Droplet digital polymerase chain reaction (ddPCR) for the detection of SARS-CoV-2 was performed (n = 58) in multiple brain regions. In cases the assay was successfully completed (n = 50), 98.0% were negative (n = 49) and 2% were indeterminate (n = 1). Most histologic findings were typical of the patient age demographic, such as neurodegenerative disease and arteriolosclerosis. A subset of cases demonstrated findings which may be associated with sequelae of critical illness. We identified 3 cases with destructive perivascular lesions with axonal injury, one of which also harbored perivascular demyelinating lesions. These rare cases may represent a parainfectious process versus sequelae of vascular injury. The lack of detectable SARS-CoV-2 by ddPCR or significant histologic evidence of direct infection suggests that active encephalitis is not a feature of COVID-19.
Topics: Male; Female; Humans; Infant, Newborn; Infant; Child, Preschool; Child; Adolescent; Young Adult; Adult; Middle Aged; Aged; Aged, 80 and over; COVID-19; SARS-CoV-2; Autopsy; Neurodegenerative Diseases; Neuropathology
PubMed: 36355625
DOI: 10.1093/jnen/nlac101 -
Experimental Neurobiology Feb 2024Autoimmune encephalitis (AIE) is a type of immunoreactive encephalitic disorder and is recognized as the most prevalent noninfectious encephalitis. Nevertheless, the... (Review)
Review
Autoimmune encephalitis (AIE) is a type of immunoreactive encephalitic disorder and is recognized as the most prevalent noninfectious encephalitis. Nevertheless, the rarity of definitive AIE diagnosis through biopsy or autopsy represents a significant hurdle to understanding and managing the disease. In this article, we present the pathological findings of AIE and review the literature based on a distinct case of AIE presenting as CD8+ T-lymphocyte predominant encephalitis. We describe the clinical progression, diagnostic imaging, laboratory data, and autopsy findings of an 80-year-old deceased male patient. The patient was diagnosed with pulmonary tuberculosis 6 months before death and received appropriate medications. A week before admission to the hospital, the patient manifested symptoms such as a tendency to sleep, decreased appetite, and confusion. Although the patient temporally improved with medication including correction of hyponatremia, the patient progressed rapidly and died in 6 weeks. The brain tissue revealed lymphocytic infiltration in the gray and white matter, leptomeninges, and perivascular infiltration with a predominance of CD8+ T lymphocytes, suggesting a case of AIE. There was no detectable evidence of viral infection or underlying neoplasm. The autopsy revealed that this patient also had Alzheimer's disease, atherosclerosis, arteriolosclerosis, and aging-related tau astrogliopathy. This report emphasizes the pivotal role of pathological examination in the diagnosis of AIE, especially when serological autoantibody testing is not available or when a patient is suspected of having multiple diseases.
PubMed: 38471800
DOI: 10.5607/en23036 -
Dermatology Online Journal Aug 2022Werner syndrome (WS) is an autosomal recessive syndrome characterized by genomic instability that affects multiple body systems. The characteristic features of the...
Werner syndrome (WS) is an autosomal recessive syndrome characterized by genomic instability that affects multiple body systems. The characteristic features of the disease include growth retardation, short stature, alopecia, scleroderma, atrophic skin with ulcerations, infertility, cataracts, premature arteriolosclerosis, diabetes, osteoporosis, and increased risk of malignancies. Werner syndrome protein (WRN) protein deficiency in this disease causes changes in gene expression, similar to those observed in normal aging. As the median age of death in WS is the fourth or fifth decade of life, early diagnosis leads to a better screening opportunity for malignancies. Herein, we present a 28-year-old woman who presented with growth arrest, dyspigmentation, and acroosteolysis and was later diagnosed with Werner syndrome.
Topics: Female; Humans; Adult; Werner Syndrome; Acro-Osteolysis; Osteoporosis; Diabetes Mellitus; Aging
PubMed: 36259858
DOI: 10.5070/D328458520 -
Neurology Dec 2022Topographical distribution of white matter hyperintensities (WMH) are hypothesized to vary by cerebrovascular risk factors. We used an unbiased pattern discovery...
BACKGROUND AND OBJECTIVES
Topographical distribution of white matter hyperintensities (WMH) are hypothesized to vary by cerebrovascular risk factors. We used an unbiased pattern discovery approach to identify distinct WMH spatial patterns and investigate their association with different WMH etiologies.
METHODS
We performed a cross-sectional study on participants of the Alzheimer's Disease Neuroimaging Initiative (ADNI) to identify spatially distinct WMH distribution patterns using voxel-based spectral clustering analysis of aligned WMH probability maps. We included all participants from the ADNI Grand Opportunity/ADNI 2 study with available baseline 2D-FLAIR MRI scans, without history of stroke or presence of infarction on imaging. We evaluated the associations of these WMH spatial patterns with vascular risk factors, amyloid-β PET, and imaging biomarkers of cerebral amyloid angiopathy (CAA), characterizing different forms of cerebral small vessel disease (CSVD) using multivariable regression. We also used linear regression models to investigate whether WMH spatial distribution influenced cognitive impairment.
RESULTS
We analyzed MRI scans of 1,046 ADNI participants with mixed vascular and amyloid-related risk factors (mean age 72.9, 47.7% female, 31.4% hypertensive, 48.3% with abnormal amyloid PET). We observed unbiased partitioning of WMH into 5 unique spatial patterns: deep frontal, periventricular, juxtacortical, parietal, and posterior. Juxtacortical WMH were independently associated with probable CAA, deep frontal WMH were associated with risk factors for arteriolosclerosis (hypertension and diabetes), and parietal WMH were associated with brain amyloid accumulation, consistent with an Alzheimer disease (AD) phenotype. Juxtacortical, deep frontal, and parietal WMH spatial patterns were associated with cognitive impairment. Periventricular and posterior WMH spatial patterns were unrelated to any disease phenotype or cognitive decline.
DISCUSSION
Data-driven WMH spatial patterns reflect discrete underlying etiologies including arteriolosclerosis, CAA, AD, and normal aging. Global measures of WMH volume may miss important spatial distinctions. WMH spatial signatures may serve as etiology-specific imaging markers, helping to resolve WMH heterogeneity, identify the dominant underlying pathologic process, and improve prediction of clinical-relevant trajectories that influence cognitive decline.
Topics: Humans; Female; Male; Alzheimer Disease; White Matter; Cross-Sectional Studies; Arteriolosclerosis; Cerebral Amyloid Angiopathy; Magnetic Resonance Imaging; Cognitive Dysfunction; Cerebral Small Vessel Diseases
PubMed: 36123127
DOI: 10.1212/WNL.0000000000201186