2015
DOI: 10.1016/j.nbd.2015.02.012
|View full text |Cite
|
Sign up to set email alerts
|

Manipulations of amyloid precursor protein cleavage disrupt the circadian clock in aging Drosophila

Abstract: Alzheimer’s disease (AD) is a neurodegenerative disease characterized by severe cognitive deterioration. While causes of AD pathology are debated, a large body of evidence suggests that increased cleavage of Amyloid Precursor Protein (APP) producing the neurotoxic Amyloid-β (Aβ) peptide plays a fundamental role in AD pathogenesis. One of the detrimental behavioral symptoms commonly associated with AD is the fragmentation of sleep-activity cycles with increased nighttime activity and daytime naps in humans. Sle… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

4
27
0

Year Published

2016
2016
2018
2018

Publication Types

Select...
5
3
1

Relationship

0
9

Authors

Journals

citations
Cited by 25 publications
(31 citation statements)
references
References 56 publications
4
27
0
Order By: Relevance
“…However, ANLS uncoupling may also allow glutamate spillover, which would facilitate and increase surrounding synaptic excitability, excitotoxicity, and neurodegeneration. This final step is supported by findings that A␤ can induce glutamate release from astrocytes, leading to synapse loss (Talantova et al, 2013), and that A␤ alters metabolic functions of astrocytes (Allaman et al, 2010). These events promote further wakefulnessinduced A␤ release, aggregation, and ANLS uncoupling, establishing a vicious cycle underlying AD pathology.…”
Section: Introductionmentioning
confidence: 82%
See 1 more Smart Citation
“…However, ANLS uncoupling may also allow glutamate spillover, which would facilitate and increase surrounding synaptic excitability, excitotoxicity, and neurodegeneration. This final step is supported by findings that A␤ can induce glutamate release from astrocytes, leading to synapse loss (Talantova et al, 2013), and that A␤ alters metabolic functions of astrocytes (Allaman et al, 2010). These events promote further wakefulnessinduced A␤ release, aggregation, and ANLS uncoupling, establishing a vicious cycle underlying AD pathology.…”
Section: Introductionmentioning
confidence: 82%
“…How might astrocytes and sleep-related ANLS mechanisms be tied to A␤ clearance in AD pathophysiology? In mice, astrocytic expression of the proteins low-density lipoprotein receptor (Basak et al, 2012) and ApoE (Verghese et al, 2013) regulate the uptake and degradation of A␤ species, whereas astrocyte dysfunction promotes A␤ aggregation. For example, disrupting normal astrocyte activation via deletion of glial fibrillary acidic protein and Vimetin enhances A␤ aggregation, whereas enhancing astrocytic autophagic processing via transcriptional factor EB overexpression mitigates amyloid plaque pathology in mice (Kraft et al, 2013;Xiao et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Some insight may be gained from studies on circadian rhythm in AD models that demonstrate disruption of circadian rhythmicity with increased Aβ deposition, but do not provide further insight into the metabolic outcomes (Sterniczuk et al 2010). Data obtained from Drosophila melanogaster suggest that fragmentation of behavioural rhythmicity is attributable to both α-and β-processing of APP (Blake et al 2015), which may further highlight the differences observed in energy balance and activity between the previously published BACE1-deficient mice vs APP KO mice from this study. These studies highlight the complexity in APP-mediated regulation of whole body energy homeostasis and as we have recently hypothesised, could indicate that peptides derived from the amyloidogenic and non-amyloidogenic processing of APP could have different effects on aspects of systemic metabolism (Czeczor & McGee 2017).…”
Section: Discussionmentioning
confidence: 77%
“…The cost‐effectiveness, genetic tractability, high throughput assays and availability of tools to manipulate neuronal properties with spatiotemporal accuracy of Drosophila have propelled it to the forefront as a competitive model for rapid identification of the cellular and molecular mechanisms underlying aging‐related diseases including neurodegenerative diseases (Blake et al., ; Gerstner et al., ; Krishnan, Kretzschmar, Rakshit, Chow & Giebultowicz, ); cardiovascular diseases (Piazza & Wessells, ; Yu, Daniels, Glaser & Wolf, ; Zarndt et al., ), cancer (Christofi & Apidianakis, ; Rudrapatna, Cagan & Das, ); diabetes and obesity (Alfa & Kim, ; Park et al., ; Trinh & Boulianne, ). As a model, Drosophila has also been used for evaluating the efficacy of potential therapeutic drugs to treat aging‐related diseases and disorders (Das & Cagan, ; Palandri et al., ).…”
Section: Versatility Of the Drosophila Model Systemmentioning
confidence: 99%