Spinocerebellar ataxia type 1 is an autosomal dominant disorder caused by a CAG repeat expansion in ATXN1, characterized by progressive cerebellar and extracerebellar symptoms. MRI-based studies in SCA1 focused in the cerebellum and connections, but there are few data about supratentorial/spinal damage and its clinical relevance. We have thus designed this multimodal MRI study to uncover the structural signature of SCA1. To accomplish that, a group of 33 patients and 33 age-and gender-matched healthy controls underwent MRI on a 3T scanner. All patients underwent a comprehensive neurological and neuropsychological evaluation. We correlated the structural findings with the clinical features of the disease. In addition, we evaluated the disease progression looking at differences in SCA1 subgroups defined by disease duration. Ataxia and pyramidal signs were the main symptoms. Neuropsychological evaluation disclosed cognitive impairment in 53% with predominant frontotemporal dysfunction. Gray matter analysis unfolded cortical thinning of primary and associative motor areas with more restricted impairment of deep structures. Deep gray matter atrophy was associated with motor handicap and poor cognition skills. White matter integrity loss was diffuse in the brainstem but restricted in supratentorial structures. Cerebellar cortical thinning was found in multiple areas and correlated not only with motor disability but also with verbal fluency. Spinal cord atrophy correlated with motor handicap. Comparison of MRI findings in disease duration-defined subgroups identified a peculiar pattern of progressive degeneration.
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http://dx.doi.org/10.1007/s00415-018-9087-1 | DOI Listing |
Funct Integr Genomics
January 2025
The Energy and Resources Institute, Lodi Road, New Delhi, 110003, India.
The major limiting factor of photosynthesis in C3 plants is the enzyme, rubisco which inadequately distinguishes between carbon dioxide and oxygen. To overcome catalytic deficiencies of Rubisco, cyanobacteria utilize advanced protein microcompartments, called the carboxysomes which envelopes the enzymes, Rubisco and Carbonic Anhydrase (CA). These microcompartments facilitate the diffusion of bicarbonate ions which are converted to CO by CA, following in an increase in carbon flux near Rubisco boosting CO fixation process.
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December 2024
Columbia University Irving Medical Center, New York, NY, USA.
Background: Glial cells exhibit distinct transcriptional responses to β-amyloid pathology in Alzheimer's disease (AD). While sophisticated single-cell based methods have revealed heterogeneous glial subpopulations in the human AD brain, the histological localization of these multicellular responses to AD pathology has not been fully characterized due to the loss of spatial information. Here, we combined spatial transcriptomics (ST) with immunohistochemistry to explore the molecular mechanisms in the neuritic plaque niche.
View Article and Find Full Text PDFBackground: Peripheral metabolic health status can reflect and/or contribute to the risk of Alzheimer's disease (AD). Peripheral metabolic health status can be indicated by metabolic health markers, such as inflammatory biomarker glycoprotein acetyls (GlycA) and specific components of lipoproteins (e.g.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria, Germany, Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Background: Despite recent breakthroughs, Alzheimer's disease (AD) remains untreatable. In addition, we are still lacking robust biomarkers for early diagnosis and promising novel targets for therapeutic intervention. To enable utilizing the entirety of molecular evidence in the discovery and prioritization of potential novel biomarkers and targets, we have developed the AD Atlas, a network-based multi-omics data integration platform.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
New York University, New York, NY, USA.
Background: Alzheimer's disease (AD) exhibits considerable phenotypic heterogeneity, suggesting the potential existence of subtypes. AD is under substantial genetic influence, thus identifying systematic variation in genetic risk may provide insights into disease origins. We previously identified a genetic heterogeneity across two levels.
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