609 results match your criteria: "Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases[Affiliation]"

Convolutional Neural Networks for the segmentation of hippocampal structures in postmortem MRI scans.

J Neurosci Methods

January 2025

Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA. Electronic address:

Background: The hippocampus plays a crucial role in memory and is one of the first structures affected by Alzheimer's disease. Postmortem MRI offers a way to quantify the alterations by measuring the atrophy of the inner structures of the hippocampus. Unfortunately, the manual segmentation of hippocampal subregions required to carry out these measures is very time-consuming.

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Unlabelled: Neurodegenerative disorders, including Alzheimer's disease and AD-related dementias (AD/ADRD), pose significant challenges to health care systems globally, particularly in Africa. With the advances in medical technology and research capabilities, especially in next-generation sequencing and imaging, vast amounts of data have been generated from AD/ADRD research. Given that the greatest increase in AD/ADRD prevalence is expected to occur in Africa, it is critical to establish comprehensive bioinformatics training programs to help African scientists leverage existing data and collect additional information to untangle AD/ADRD heterogeneity in African populations.

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Introduction: Diffusion tensor image analysis along the perivascular space (DTI-ALPS) index was proposed for assessing glymphatic clearance function. This study evaluated DTI-ALPS as a biomarker for cerebral small vessel disease (cSVD) related vascular cognitive impairment and dementia (VCID).

Methods: Four independent cohorts were examined.

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Introduction: Alzheimer's disease (AD), primary age-related tauopathy (PART), and chronic traumatic encephalopathy (CTE) all feature hyperphosphorylated tau (p-tau)-immunoreactive neurofibrillary degeneration, but differ in neuroanatomical distribution and progression of neurofibrillary degeneration and amyloid beta (Aβ) deposition.

Methods: We used Nanostring GeoMx Digital Spatial Profiling to compare the expression of 70 proteins in neurofibrillary tangle (NFT)-bearing and non-NFT-bearing neurons in hippocampal CA1, CA2, and CA4 subregions and entorhinal cortex of cases with autopsy-confirmed AD (n = 8), PART (n = 7), and CTE (n = 5).

Results: There were numerous subregion-specific differences related to Aβ processing, autophagy/proteostasis, inflammation, gliosis, oxidative stress, neuronal/synaptic integrity, and p-tau epitopes among these different disorders.

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Although Alzheimer disease neuropathologic change (ADNC) is the most common pathology underlying clinical dementia, the presence of multiple comorbid neuropathologies is increasingly being recognized as a major contributor to the worldwide dementia burden. We analyzed 1051 subjects with specific combinations of isolated and mixed pathologies and conducted multivariate logistic regression analysis on a cohort of 4624 cases with mixed pathologies to systematically explore the independent cognitive contributions of each pathology. Alzheimer disease neuropathologic change and limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) were both associated with a primary clinical diagnosis of Alzheimer disease (AD) and were characterized by an amnestic dementia phenotype, while only ADNC associated with logopenic variant primary progressive aphasia (PPA).

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Introduction: Peripheral risk factors (PRFs) may correlate with dementia plasma biomarkers, potentially reflecting peripheral rather than brain health. This study explores the associations between PRFs and plasma biomarkers glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), and total-tau, and their role in predicting future dementia.

Methods: Data from the Age, Gene/Environment Susceptibility-Reykjavik Study (2002-2015) included 4353 participants mean age of 76.

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Introduction: Alzheimer's disease (AD) and other tauopathies are characterized by intracellular aggregates of microtubule-associated protein tau that are actively released and promote proteopathic spread. Microglia engulf pathological proteins, but how they endocytose tau is unknown.

Methods: We measured endocytosis of different tau species by microglia after pharmacological modulation of macropinocytosis or clathrin-mediated endocytosis (CME) or antagonism/genetic depletion of known tau receptors heparan-sulfate proteoglycans (HSPGs) and low-density lipoprotein receptor-related protein 1 (LRP1).

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Introduction: The effects of sex and apolipoprotein E (APOE)-Alzheimer's disease (AD) risk factors-on white matter microstructure are not well characterized.

Methods: Diffusion magnetic resonance imaging data from nine well-established longitudinal cohorts of aging were free water (FW)-corrected and harmonized. This dataset included 4741 participants (age = 73.

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Introduction: Placental growth factor (PlGF) may regulate cerebrovascular permeability. We hypothesized that white matter interstitial fluid accumulation, estimated via magnetic resonance imaging (MRI) free water (FW), would explain the associations between elevated PlGF, white matter hyperintensities (WMH), and cognitive impairment.

Methods: MarkVCID consortium participants ≥55 years old with plasma PlGF and brain MRI were included.

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Caffeine intake during gestation and lactation causes long-term behavioral impairments in heterogenic mice offspring in a sex-dependent manner.

Pharmacol Biochem Behav

December 2024

Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil. Electronic address:

Growing evidence has indicated a potential association between maternal consumption of caffeine and impaired cognition and behavior in rodent offspring. However, potential sex differences, as well as caffeine-related effects in subsequent generations are still poorly investigated. We aimed to investigate the impact of pre-and/or neonatal exposition to caffeine on the neurodevelopment of male and female mice offspring.

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Introduction: We investigated whether depression modified the associations between sleep duration and cognitive performance.

Methods: Multivariable linear regression models examined the associations between sleep duration and cognition in 1,853 dementia- and stroke-free participants from the Framingham Heart Study. Participants were categorized in four groups: no depressive symptoms, no antidepressants; depressive symptoms without antidepressants use; antidepressant use without depressive symptoms; both depressive symptoms and antidepressant use.

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Background: Quantification of Amyloid beta (Aβ) oligomers in plasma enables early diagnosis of Alzheimer's Disease (AD) and improves our understanding of underlying pathologies. However, quantification necessitates an extremely sensitive and selective technology because of very low Aβ oligomer concentrations and possible interference from matrix components.

Methods: In this report, we developed and validated a surface-based fluorescence distribution analysis (sFIDA) assay for quantification of Aβ oligomers in plasma.

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Deep learning reveals pathology-confirmed neuroimaging signatures in Alzheimer's, vascular and Lewy body dementias.

Brain

December 2024

Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229, USA.

Concurrent neurodegenerative and vascular pathologies pose a diagnostic challenge in the clinical setting, with histopathology remaining the definitive modality for dementia-type diagnosis. To address this clinical challenge, we introduce a neuropathology-based, data-driven, multi-label deep learning framework to identify and quantify in-vivo biomarkers for Alzheimer's disease (AD), vascular dementia (VD), and Lewy body dementia (LBD) using antemortem T1-weighted MRI scans of 423 demented and 361 control participants from NACC and ADNI datasets. Based on the best-performing deep learning model, explainable heatmaps are extracted to visualize disease patterns, and the novel Deep Signature of Pathology Atrophy REcognition (DeepSPARE) indices are developed, where a higher DeepSPARE score indicates more brain alterations associated with that specific pathology.

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Introduction: We evaluated whether higher Dietary Inflammatory Index (DII) scores were associated with increased incidence of all-cause dementia and Alzheimer's disease (AD) dementia over 22.3 years of follow-up in the community-based Framingham Heart Study Offspring cohort.

Methods: One thousand four hundred eighty-seven participants (mean ± standard deviation, age in years 69 ± 6) completed food frequency questionnaires (FFQs) and had incident all-cause dementia and AD surveillance data available.

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Despite the central role attributed to neuroinflammation in the etiology and pathobiology of Alzheimer's disease (AD), the direct link between levels of inflammatory mediators in blood and cerebrospinal fluid (CSF) compartments, as well as their potential implications for AD diagnosis and progression, remains inconclusive. Moreover, there is debate on whether inflammation has a protective or detrimental effect on disease onset and progression. Indeed, distinct immunological mechanisms may govern protective and damaging effects at early and late stages, respectively.

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Background: Caregivers of people living with dementia (PLWD) often experience burden based on their care recipients' symptoms of wandering, disorientation, and agitation.

Objective: To examine the utilization and perceived value of technology-based solutions for caregiving among caregivers of PLWD.

Methods: In collaboration with three Texas sites, PLWD and family caregiver dyads were recruited from clinical and community sites to assess the feasibility of a caregiving technology.

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X-chromosome-wide association study for Alzheimer's disease.

Mol Psychiatry

December 2024

Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, LabEx DISTALZ - U1167-RID-AGE Facteurs de Risque et Déterminants Moléculaires des Maladies Liées au Vieillissement, Lille, France.

Article Synopsis
  • A study was conducted to investigate the X-chromosome's role in Alzheimer's Disease (AD), which had been overlooked in previous genome-wide association studies.
  • The research included 115,841 AD cases and 613,671 controls, considering different X-chromosome inactivation (XCI) states in females.
  • While no strong genetic risk factors for AD were found on the X-chromosome, seven significant loci were identified, suggesting areas for future research.
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Article Synopsis
  • Midlife obesity may increase the risk of late-onset dementia, and studying adipokines (substances secreted by fat cells) could help understand this link in aging brains.
  • Researchers analyzed serum concentrations of specific adipokines and their relationships to brain MRI markers in 1,882 middle-aged adults from the Framingham Heart Study.
  • The study found that higher levels of certain adipokines, particularly RBP4, were associated with brain atrophy, including reduced brain volumes and increased ventricular sizes, suggesting that these factors could play a role in cognitive decline during midlife.
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Background: Informal caregivers of persons living with dementia are increasingly using mobile health (mHealth) apps to obtain care information. mHealth apps are seen as promising tools to better support caregivers' complex and evolving information needs. Yet, little is known about the types and quality of dementia care information that these apps provide.

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Importance: Metals are established neurotoxicants, but evidence of their association with cognitive performance at low chronic exposure levels is limited.

Objective: To investigate the association of urinary metal levels, individually and as a mixture, with cognitive tests and dementia diagnosis, including effect modification by apolipoprotein ε4 allele (APOE4).

Design, Setting, And Participants: The multicenter prospective cohort Multi-Ethnic Study of Atherosclerosis (MESA) was started from July 2000 to August 2002, with follow-up through 2018.

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Alzheimer's disease-specific transcriptomic and epigenomic changes in the tryptophan catabolic pathway.

Alzheimers Res Ther

November 2024

Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences (FHML), Mental Health and Neuroscience Research Institute (MHeNs) and European Graduate School of Neuroscience (EURON), Maastricht University, Maastricht, 6211 LK, the Netherlands.

Background: Neurodegenerative disorders, including Alzheimer's disease (AD), have been linked to alterations in tryptophan (TRP) metabolism. However, no studies to date have systematically explored changes in the TRP pathway at both transcriptional and epigenetic levels. This study aimed to investigate transcriptomic, DNA methylomic (5mC) and hydroxymethylomic (5hmC) changes within genes involved in the TRP and nicotinamide adenine dinucleotide (NAD) pathways in AD, using three independent cohorts.

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Cerebral white matter hyperintensity volumes: Normative age- and sex-specific values from 15 population-based cohorts comprising 14,876 individuals.

Neurobiol Aging

February 2025

Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht, the Netherlands; Department of Neurology, Diakonessenhuis Hospital, Utrecht, the Netherlands.

Article Synopsis
  • White matter hyperintensities (WMH) increase with age and vary significantly between individuals, prompting the need for age- and sex-specific data for better assessment.
  • This study pooled data from nearly 15,000 healthy individuals aged 18-97 to analyze WMH volumes using MRI and established centile curves based on age and sex.
  • Findings reveal that WMH volumes increase significantly with age, with females having larger volumes, and these changes follow different patterns based on specific white matter locations, providing valuable normative data for clinical interpretations.
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Diets to promote healthy brain ageing.

Nat Rev Neurol

January 2025

1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.

Diet is a modifiable lifestyle factor with a proven role in cardiovascular disease risk reduction that might also play an important part in cognitive health. Evidence from observational studies has linked certain healthy dietary patterns to cognitive benefits. However, clinical trials of diet interventions have demonstrated either null or, at best, small effects on cognitive outcomes.

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Background: Peak-width of skeletonized mean diffusivity (PSMD), a neuroimaging marker of cerebral small vessel disease (SVD), has shown excellent instrumental properties. Here, we extend our work to perform a biological validation of PSMD.

Methods: We included 396 participants from the Biomarkers for Vascular Contributions to Cognitive Impairment and Dementia (MarkVCID-1) Consortium and three replication samples (Cohorts for Heart and Aging Research in Genomic Epidemiology = 6172, Rush University Medical Center = 287, University of California Davis Alzheimer's Disease Research Center = 567).

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Metabolic signature of insulin resistance and risk of Alzheimer's disease.

J Gerontol A Biol Sci Med Sci

November 2024

Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain.

Article Synopsis
  • A study was conducted to explore the link between insulin resistance (IR) and the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) dementia in a group of 400 subjects.
  • Researchers identified a specific metabolic signature with 18 metabolites that are associated with IR and showed that this signature increases the risk of developing AD dementia.
  • The findings suggest that these metabolic pathways could help explain how IR contributes to the development of AD dementia, enhancing our understanding of this relationship.
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