Results 51 to 60 of about 157,234 (246)

Quantification of white matter cellularity and damage in preclinical and early symptomatic Alzheimer\u27s disease [PDF]

open access: yes, 2019
Interest in understanding the roles of white matter (WM) inflammation and damage in the pathophysiology of Alzheimer disease (AD) has been growing significantly in recent years.
Ances, Beau M   +14 more
core   +2 more sources

PICALM::MLLT10 translocated leukemia

open access: yesFEBS Letters, EarlyView.
This comprehensive review of PICALM::MLLT10 translocated acute leukemia provides an in‐depth review of the structure and function of CALM, AF10, and the fusion oncoprotein (1). The multifaceted molecular mechanisms of oncogenesis, including nucleocytoplasmic shuttling (2), epigenetic modifications (3), and disruption of endocytosis (4), are then ...
John M. Cullen   +7 more
wiley   +1 more source

Physiological genomics analysis for Alzheimer′s disease

open access: yesAnnals of Indian Academy of Neurology, 2013
Alzheimer′s disease is a common kind of dementia. This disorder can be detected in all countries around the world. This neurological disorder affects millions of population and becomes an important concern in modern neurology.
Viroj Wiwanitkit
doaj   +1 more source

Effect of Non-Coding RNA on Post-Transcriptional Gene Silencing of Alzheimer Disease [PDF]

open access: yes, 2010
A large amount of hidden biological information is contained in the human genome, which is not expressed or revealed in the form of proteins; the usual end product form of gene expression.
Arun Mohan   +7 more
core   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

open access: yesMolecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak   +4 more
wiley   +1 more source

Explainable Machine Learning Model for Alzheimer Detection Using Genetic Data: A Genome-Wide Association Study Approach

open access: yesIEEE Access
Recent research has revealed that using machine learning systems for the analysis of genetic data could reliably detect Alzheimer’s disease. The interpretability of these models, however, has been a challenge, as they frequently provided little ...
Tarek Khater   +8 more
doaj   +1 more source

Early Diagnosis of Alzheimer's disease by NIRF Spectroscopy and Nuclear Medicine-v.4.0 [PDF]

open access: yes, 2011
There is an urgent need for the early detection of diseases such as Alzheimer’s (AD) and Cancers in order to enable their successful treatment. Cancer is the second major cause of death after Heart Disease, and AD is the third major cause of death
I Baianu
core   +1 more source

Pathogenic Neurofibromatosis type 1 gene variants in tumors of non‐NF1 patients and role of R1276

open access: yesFEBS Open Bio, EarlyView.
Somatic variants of the neurofibromatosis type 1 (NF1) gene occur across neoplasms without clinical manifestation of the disease NF1. We identified emerging somatic pathogenic NF1 variants and hotspots, for example, at the arginine finger 1276. Those missense variants provide fundamental information about neurofibromin's role in cancer.
Mareike Selig   +7 more
wiley   +1 more source

On the social induction of Alzheimer's disease: An index theorem aging model for amyloid formation [PDF]

open access: yes, 2011
The central 'risk factor' for Alzheimer's disease (AD) is age. From first principles, we construct a mathematical model of protein folding and its in vivo regulation that gives this result in a natural manner.
Deborah Wallace, Rodrick Wallace
core   +1 more source

The value of hippocampal and temporal horn volumes and rates of change in predicting future conversion to AD. [PDF]

open access: yes, 2012
Hippocampal pathology occurs early in Alzheimer disease (AD), and atrophy, measured by volumes and volume changes, may predict which subjects will develop AD.
ADNI investigators   +5 more
core   +1 more source

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