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Background: There is limited information about gene-environment interaction on the occurrence and the progression of Alzheimer's disease.
Objective: To explore the effect of environmental low-dose cadmium (Cd) exposure on the progress of Alzheimer's disease and the underlining mechanism.
Methods: We administered 1 mg/L, 10 mg/L cadmium chloride (treated groups), and water (control group) to C57BL/6J and APP/PS1 mice through drinking water, from one week before mating, until the offspring were sacrificed at 6 months of age. The behaviors, Cd level, blood-brain barrier (BBB) leakage, Aβ1-42 deposition, and inflammation expression were evaluated in these mice.
Results: Mice of both genotypes had similar blood Cd levels after exposure to the same dose of Cd. The toxic effects of Cd on the two genotypes differed little in terms of neuronal histomorphology and BBB permeability. Cd caused a series of pathological morphological changes in the mouse brains and more fluorescent dye leakage at higher doses. Furthermore, the APP/PS1 mice had more severe damage than the C57BL/6J mice, based on the following five criteria. They were increasing anxiety-like behavior and chaos movement, spatial reference memory damage, Aβ plaque deposition in mouse brains, increasing microglia expression in the brain, and IL-6 higher expression in the cortex and in the serum.
Conclusion: Low-dose Cd exposure for 6 months increases Aβ plaque deposition and BBB permeability, exacerbates inflammatory responses, and activates microglia, in APP/PS1 mice. APP/PS1 gene-environmental Cd interaction aggravates the progression of Alzheimer's disease in mice.
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http://dx.doi.org/10.3233/JAD-221205 | DOI Listing |
Annu Rev Pathol
September 2025
3Department of Pathology, Stanford University, Stanford, California, USA;
Clonal hematopoiesis, originally identified as a precursor to hematologic malignancies, has emerged as a significant factor in various nonmalignant diseases. Recent research highlights how somatic mutations in hematopoietic stem cells lead to the expansion of circulating mutated immune cells that exert profound effects on organ function and disease progression. These mutated clones display altered inflammatory profiles and tissue-specific functional consequences, contributing to various diseases including atherosclerotic cardiovascular disease, osteoporosis, heart failure, and neurodegenerative conditions.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
September 2025
Vision Transformer (ViT) applied to structural magnetic resonance images has demonstrated success in the diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, three key challenges have yet to be well addressed: 1) ViT requires a large labeled dataset to mitigate overfitting while most of the current AD-related sMRI data fall short in the sample sizes. 2) ViT neglects the within-patch feature learning, e.
View Article and Find Full Text PDFJ Alzheimers Dis
September 2025
Department of Medicine and Surgery, Unit of Neurology, Neurophysiology, Neurobiology and Psychiatry, Università Campus Bio-Medico di Roma, Roma, Italy.
BackgroundAlzheimer's disease (AD) is the most common neurodegenerative disorder. While AD diagnosis traditionally relies on clinical criteria, recent trends favor a precise biological definition. Existing biomarkers efficiently detect AD pathology but inadequately reflect the extent of cognitive impairment or disease heterogeneity.
View Article and Find Full Text PDFInflammopharmacology
September 2025
Centre for Research Impact & Outcome, Chitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, 140401, India.
The NOD‑like receptor family pyrin domain containing 3 (NLRP3) inflammasome is a key molecular complex that amplifies inflammatory cascades by maturing interleukin‑1 beta (IL-1β) and interleukin‑18 (IL-18) and inducing pyroptosis. It serves as a major driver and co-driver of numerous diseases associated with chronic inflammation. Dysregulated NLRP3 activation contributes to the progression of disorders such as rheumatoid arthritis, inflammatory bowel disease, neurodegenerative diseases and atherosclerosis.
View Article and Find Full Text PDFDrugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
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