Alzheimer's disease is a devastating neurological disorder and the leading cause of dementia among the elderly. Recent studies have localized the gene for familial Alzheimer's disease to chromosome 21 in a series of early onset AD families (mean age of onset less than 60). Familial late onset AD (mean age of onset greater than 60) is a more common clinical form of the disorder. Thirteen families with multiply affected Alzheimer's disease family members were identified and sampled. Ten of these families were of the late onset Alzheimer's disease type. Simulation studies were used to evaluate the usefulness of these pedigrees in linkage studies in familial Alzheimer's disease. Linkage studies undertaken to test the localization of both early onset and late onset Alzheimer's disease families to chromosome 21 failed to establish linkage and excluded linkage from a large portion of the region where the early onset Alzheimer's disease gene was localized. These findings suggest that more than one etiology may exist for familial Alzheimer's disease and indicate the need for continued screening of the genome in familial Alzheimer's disease families.
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http://dx.doi.org/10.1016/0014-4886(88)90220-8 | DOI Listing |
Expert Rev Proteomics
January 2025
Skolkovo Institute of Science and Technology, Moscow, Russian Federation.
Introduction: Identifying early risks of developing Alzheimer's disease (AD) is a major challenge as the number of patients with AD steadily increases and requires innovative solutions. Current molecular diagnostic modalities, such as cerebrospinal fluid (CSF) testing and positron emission tomography (PET) imaging, exhibit limitations in their applicability for large-scale screening. In recent years, there has been a marked shift toward the development of blood plasma-based diagnostic tests, which offer a more accessible and clinically viable alternative for widespread use.
View Article and Find Full Text PDFWorld J Clin Cases
January 2025
Department of Neurology, Guizhou Medical University, Guiyang 550004, Guizhou Province, China.
Dementia is a group of diseases, including Alzheimer's disease (AD), vascular dementia, Lewy body dementia, frontotemporal dementia, Parkinson's disease dementia, metabolic dementia and toxic dementia. The treatment of dementia mainly includes symptomatic treatment by controlling the primary disease and accompanying symptoms, nutritional support therapy for repairing nerve cells, psychological auxiliary treatment, and treatment that improves cognitive function through drugs. Among them, drug therapy to improve cognitive function is important.
View Article and Find Full Text PDFFront Pharmacol
December 2024
Department of Orthodontics, State Key Laboratory of Oral Diseases, West China School of Stomatology, Sichuan University, Chengdu, Sichuan, China.
Neprilysin (NEP), a zinc-dependent membrane-bound metallopeptidase, regulates various bioactive peptides, particularly in kidneys, vascular endothelium, and the central nervous system. NEP's involvement in metabolizing natriuretic peptides, insulin, and enkephalins makes it a promising target for treating cardiovascular and Alzheimer's diseases. Several NEP inhibitors, such as sacubitril and omapatrilat, have been approved for clinical use, which inhibit NEP activity to prolong the bioactivity of beneficial peptides, thereby exerting therapeutic effects.
View Article and Find Full Text PDFFront Neurosci
December 2024
Institute of Reconstructive Neurobiology, Medical Faculty and University Hospital of Bonn, University of Bonn, Bonn, Germany.
Brain aging is a chronic process linked to inflammation, microglial activation, and oxidative damage, which can ultimately lead to neuronal loss. Sialic acid-binding immunoglobulin-like lectin-11 (SIGLEC-11) is a human lineage-specific microglial cell surface receptor that recognizes -2-8-linked oligo-/polysialylated glycomolecules with inhibitory effects on the microglial inflammatory pathways. Recently, the gene locus was prioritized as a top tier microglial gene with potential causality to Alzheimer's disease, although its role in inflammation and neurodegeneration remains poorly understood.
View Article and Find Full Text PDFEClinicalMedicine
August 2024
Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, United Kingdom.
Background: Predicting dementia early has major implications for clinical management and patient outcomes. Yet, we still lack sensitive tools for stratifying patients early, resulting in patients being undiagnosed or wrongly diagnosed. Despite rapid expansion in machine learning models for dementia prediction, limited model interpretability and generalizability impede translation to the clinic.
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