Age-related changes in gene expression are accelerated in Alzheimer's disease

Synapse ◽  
2011 ◽  
Vol 65 (9) ◽  
pp. 971-974 ◽  
Author(s):  
P. Saetre ◽  
E. Jazin ◽  
L. Emilsson
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Age Related ◽  
Age Related Changes

Neuroimaging Approaches for Elderly Studies

2017 ◽  
pp. 1576-1617
Author(s):  
Charis Styliadis ◽  
Panagiotis Kartsidis ◽  
Evangelos Paraskevopoulos
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Structure And Function ◽  
Cognitive Capacity ◽  
Aging Brain ◽  
Cerebral Structure ◽  
Age Related ◽  
Elderly Populations ◽  
And Function ◽  
Age Related Changes

Advances in the field of neuroimaging have allowed for the examination of the effects of age-related changes on cognitive capacity in elderly populations. Structural techniques are now routinely used to report cortical atrophic rates in aging and particularly within the context of the Alzheimer's disease, and may be integrated with functional techniques which examine the functional characteristics of the cortex at rest and during the performance of a task. Despite advancing age cognitive function remains highly plastic, allowing for interventions that aim to maintain or even remediate its capacity and the mechanisms by which structure and function are altered among seniors. Overall, information on the integrity of the cerebral structure and function aid in the early detection and treatment of the Alzheimer's disease as well as the evaluation and track of the disease's progression. In this chapter, neuroimaging methods are presented along with findings that are particularly relevant for the study of neuroplasticity in the aging brain.

The effect of preclinical Alzheimer's disease on age-related changes in intelligence in cognitively normal older adults

Intelligence ◽  
2018 ◽  
Vol 70 ◽  
pp. 22-29 ◽  
Author(s):  
Karra D. Harrington ◽  
Christa Dang ◽  
Yen Ying Lim ◽  
David Ames ◽  
Simon M. Laws ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Preclinical Alzheimer’S Disease ◽  
Cognitively Normal ◽  
Age Related ◽  
Age Related Changes

P1-176 Age-related changes of Alzheimer's disease-associated protein in cynomolgus monkey brains

2004 ◽  
Vol 25 ◽  
pp. S145-S146
Author(s):  
Nobuyuki Kimura ◽  
Kentaro Tanemura ◽  
Shin-Ichiro Nakamura ◽  
Akihiko Takashima ◽  
Katsuhiko Yanagisawa ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cynomolgus Monkey ◽  
Age Related ◽  
Age Related Changes

scholarly journals Integrated DNA methylation and gene expression profiling across multiple brain regions implicate novel genes in Alzheimer’s disease

2018 ◽  
Author(s):  
Stephen A. Semick ◽  
Rahul A. Bharadwaj ◽  
Leonardo Collado-Torres ◽  
Ran Tao ◽  
Joo Heon Shin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Dna Methylation ◽  
Neurodegenerative Disorder ◽  
Late Onset ◽  
Brain Regions ◽  
Epigenetic Mechanism ◽  
Novel Genes ◽  
Age Related

AbstractBackgroundLate-onset Alzheimer’s disease (AD) is a complex age-related neurodegenerative disorder that likely involves epigenetic factors. To better understand the epigenetic state associated with AD represented as variation in DNA methylation (DNAm), we surveyed 420,852 DNAm sites from neurotypical controls (N=49) and late-onset AD patients (N=24) across four brain regions (hippocampus, entorhinal cortex, dorsolateral prefrontal cortex and cerebellum).ResultsWe identified 858 sites with robust differential methylation, collectively annotated to 772 possible genes (FDR<5%, within 10kb). These sites were overrepresented in AD genetic risk loci (p=0.00655), and nearby genes were enriched for processes related to cell-adhesion, immunity, and calcium homeostasis (FDR<5%). We analyzed corresponding RNA-seq data to prioritize 130 genes within 10kb of the differentially methylated sites, which were differentially expressed and had expression levels associated with nearby DNAm levels (p<0.05). This validated gene set includes previously reported (e.g. ANK1, DUSP22) and novel genes involved in Alzheimer’s disease, such as ANKRD30B.ConclusionsThese results highlight DNAm changes in Alzheimer’s disease that have gene expression correlates, implicating DNAm as an epigenetic mechanism underlying pathological molecular changes associated with AD. Furthermore, our framework illustrates the value of integrating epigenetic and transcriptomic data for understanding complex disease.

scholarly journals Effects of Swimming Training and Royal Jelly on BDNF and NGF Gene Expression in Hippocampus Tissue of Rats with Alzheimer’s Disease

2020 ◽  
Vol 22 (2) ◽  
Author(s):  
Amin Dehbozorgi ◽  
Laleh Behbudi Tabrizi ◽  
Seyed Ali Hosseini ◽  
Masod Haj Rasoli
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Royal Jelly ◽  
Neurodegenerative Disorder ◽  
Control Group ◽  
Swimming Training ◽  
Age Related ◽  
And Training ◽  
Ngf Gene

Background: Alzheimer’s disease (AD) is an age-related neurodegenerative disorder. Evidence from neuropathological studies indicates that the levels of neurotrophins brain-derived neurotrophic factor (BDNF) and nerve growth factor (NGF) are compromised in AD. Objectives: The present study aimed to review the effects of swimming training and royal jelly (RJ) on BDNF and NGF gene expression in the hippocampus tissue of rats with AD. Methods: In the present experimental study, 25 rats with AD were divided into five groups, including (1) control, (2) sham, (3) RJ, (4) training, and (5) training with RJ. Five healthy rats were selected as the healthy control group to examine the effect of AD induction by 8 mg/kg trimethyltin chloride (TMT) intra-peritoneally on BDNF and NGF. During eight weeks, groups 3 and 5 received 100 mg/kg RJ daily intra-peritoneally, and groups 4 and 5 swam in a rat swimming tank three sessions per week. One-way ANOVA with Tukey’s post hoc test was used for data analysis in SPSS 20 software (P < 0.05). Results: The induction of AD by TMT had a significant effect on the reduction of BDNF (P = 0.001) and NGF (P = 0.001). However, RJ had a significant effect on the increase of NGF (P = 0.03). Nevertheless, RJ (P = 0.99), training (P = 0.99), and training with RJ (P = 0.94) had no significant effect on BDNF and training (P = 0.99) and training with RJ (P = 0.97) had no significant effect on NGF. Conclusions: It appears that RJ has a significant effect on the increase of NGF gene expression in the hippocampus tissue of rats with AD. Nevertheless, RJ consumption simultaneously with swimming training has no significant effect on BDNF and NGF.

A Qualitative Analysis Based on Relative Expression Orderings Identifies Transcriptional Subgroups for Alzheimer’s Disease

2020 ◽  
Vol 16 (13) ◽  
pp. 1175-1182 ◽  
Author(s):  
Guini Hong ◽  
Pengming Zeng ◽  
Na Li ◽  
Hao Cai ◽  
You Guo ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Brain Region ◽  
Expression Patterns ◽  
Brain Regions ◽  
Gene Expression Patterns ◽  
Relative Expression ◽  
Age Related ◽  
Relative Expression Orderings

Background: Alzheimer's disease (AD) is a heterogeneous neurodegenerative disease. However, few studies have investigated the heterogeneous gene expression patterns in AD. Objective and Methods: We examined the gene expression patterns in four brain regions of AD based on the within-sample relative expression orderings (REOs). Gene pairs with significantly reversed REOs in AD samples compared to non-AD controls were identified for each brain region using Fisher’s exact test, and filtered according to their transcriptional differences between AD samples. Subgroups of AD were classified by cluster analysis. Results: REO-based gene expression profiling analyses revealed that transcriptional differences, as well as distinct disease subsets, existed within AD patients. For each brain region, two main subgroups were classified: one subgroup reported differentially expressed genes overlapped with the age-related genes, and the other might relate to neuroinflammation. Conclusion: AD transcriptional subgroups might help understand the underlying pathogenesis of AD, and lend support to a personalized approach to AD management.

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