2021
DOI: 10.1007/s12035-021-02297-x
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Impact of Genetic Risk Factors for Alzheimer’s Disease on Brain Glucose Metabolism

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Cited by 17 publications
(12 citation statements)
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“…In fact, insulin is an enhancer of memory performance and this effect is likely to be associated with its positive influence on brain synaptic plasticity, neuronal glucose uptake and neuropathological consequences of AD [ 51 ]. After all, the beneficial activity of intranasal insulin may be closely related to the normalization of dysfunctional glucose metabolism, which probably results from genetic risk factors in AD patients [ 180 ]. In addition, some antidepressant drugs (citalopram, escitalopram) were shown to be clinically beneficial in at least some aspects of AD patients.…”
Section: Discussionmentioning
confidence: 99%
“…In fact, insulin is an enhancer of memory performance and this effect is likely to be associated with its positive influence on brain synaptic plasticity, neuronal glucose uptake and neuropathological consequences of AD [ 51 ]. After all, the beneficial activity of intranasal insulin may be closely related to the normalization of dysfunctional glucose metabolism, which probably results from genetic risk factors in AD patients [ 180 ]. In addition, some antidepressant drugs (citalopram, escitalopram) were shown to be clinically beneficial in at least some aspects of AD patients.…”
Section: Discussionmentioning
confidence: 99%
“…(2010) have shown that the CH25H gene plays a key role in AD susceptibility. Recent large genome‐wide association studies (GWASs) have found that genetic variations in genes NEDD9, SORCS1, DAPK1, PICALM, and PRNP are related to AD risk (Bagyinszky et al., 2019; Cho et al., 2021; Hermey et al., 2019; Xu et al., 2015, 2019), evaluating SNPs on the above genes helps to determine AD progression.…”
Section: Real Data Analysismentioning
confidence: 99%
“…Recent large genome-wide association studies (GWASs) have found that genetic variations in genes NEDD9, SORCS1, DAPK1, PICALM, and PRNP TA B L E 5 Frequency of scalar predictors selected at 0.1, 0.5, and 0.9 quantiles across 1000 bootstrap. are related to AD risk (Bagyinszky et al, 2019;Cho et al, 2021;Hermey et al, 2019;Xu et al, 2015Xu et al, , 2019, evaluating SNPs on the above genes helps to determine AD progression.…”
mentioning
confidence: 99%
“…Emerging evidence from both human and animal studies underscores a significant association between obesity and cognitive decline, including brain atrophy, diminished white matter volume, compromised blood–brain barrier integrity, and heightened susceptibility to late-onset Alzheimer's disease [ [1] , [2] , [3] , [4] , [5] , [6] ]. Furthermore, chronic disruptions in glucose homeostasis, impaired insulin signaling, and metabolic dysfunctions are closely linked to cognitive impairments and the pathology of Alzheimer's disease [ [7] , [8] , [9] , [10] , [11] , [12] , [13] ]. These observations suggest the importance of maintaining normal body weight and proper fuel metabolism, which is crucial to reducing the risk of developing cognitive decline and neurodegenerative diseases.…”
Section: Introductionmentioning
confidence: 99%