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Although several genetic polymorphisms have been linked with the risk of Alzheimer's disease, less is known about their impact on cognitive performance among cognitively healthy individuals. Our aim was to investigate the association of the genetic variant, rs744373 in the bridging integrator 1 gene (BIN1), the strongest genetic risk factor for Alzheimer's disease after the APOE ε4 allele, with different cognitive domains among non-demented older men. Cognitive function was measured using the CogState Brief Battery, which assessed cognitive performance across four domains: psychomotor function, visual attention, recognition memory and working memory. Linear regression analysis revealed that individuals with the BIN1 risk allele performed poorly on the recognition memory task as compared to those without the risk allele. However, this was in contrast with the individuals who harboured the APOE ε4 risk allele as they displayed better performance on the recognition task in comparison to those without the ε4 risk allele. To the best of our knowledge, this is the first study that demonstrates genetic variation in BIN1 to be a better predictor of recognition memory than APOE, which remains the biggest genetic risk factor for Alzheimer's disease.
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http://dx.doi.org/10.1038/s41598-022-20587-9 | DOI Listing |
Adv Mater
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Catalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 2, Sant Adriá de Besós, Barcelona, 08930, Spain.
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View Article and Find Full Text PDFBMC Neurosci
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Department of Anatomy, Faculty of Basic Medical Sciences, University of Ibadan, Ibadan, Oyo State, Nigeria.
Diethylnitrosamine (DEN), a common dietary carcinogen, is associated with neurotoxicity in humans and animals. This study investigated the neuroprotective effects of diphenyl diselenide (DPDS) against DEN-induced neurotoxicity in male Albino Wistar rats (n = 40). Rats were randomly distributed into cohorts and treated as follows: vehicle control (corn oil 2 mL/kg; gavage), DPDS-only (5 mg/kg; gavage) and DEN-only (200 mg/kg; single dose i.
View Article and Find Full Text PDFVision Res
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University of Essex, Department of Psychology, Wivenhoe Park, Colchester, CO4 3SQ, Essex, UK; University of Suffolk, Institute of Health and Wellbeing, Ipswich, IP4 1QJ, Suffolk, UK.
Face recognition from 2D images is influenced by various factors, including lighting conditions, viewing direction, rotation, and polarity inversion. It has been proposed that these techniques affect face recognition by distorting shape from shading. This study investigates the perception of 3D face shape in 2D images using a gauge figure task.
View Article and Find Full Text PDFThis paper develops a method for cancer classification from microRNA data using a convolutional neural network (CNN)-based model optimized by genetic algorithm. The convolutional neural network has performed well in various recognition and perception tasks. This paper contributes to the cancer classification using a union of two CNNs.
View Article and Find Full Text PDFSleep
December 2024
Department of Biology, Stanford University, Stanford, CA 94305-5020, USA.
Down syndrome (DS) is a common genetic condition affecting people worldwide. It involves cognitive disabilities for which there are no drug therapies. The Ts65Dn mouse model of DS shows cognitive impairment due to a reduction in neuron number and connectivity as well as excessive neuronal activity, as GABA antagonist treatment restores memory in these mice.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!