| Title |
Effects of Aluminium on β-Amyloid (1–42) and Secretases (APP-Cleaving Enzymes) in Rat Brain
|
|---|---|
| Published in |
Neurochemical Research, May 2014
|
| DOI | 10.1007/s11064-014-1317-z |
| Pubmed ID | |
| Authors |
Linping Wang, Jiali Hu, Yue Zhao, Xiaoting Lu, Qinli Zhang, Qiao Niu |
| Abstract |
Chronic administration of aluminium has been proposed as an environmental factor that may affect some pathological changes related to neurotoxicity and Alzheimer's disease (AD). The abnormal generation and deposition of β-amyloid (Aβ) in senile plaques are hallmark features in the brains of AD patients. Furthermore, Aβ is generated by the sequential cleavage of the amyloid precursor protein (APP) via the APP cleaving enzyme (α-secretase, or β-secretase) and γ-secretase. In the present study, we investigated the modulation of Aβ deposition and neurotoxicity in aluminium-maltolate-treated (0, 15, 30, 45 mmol/kg body weight via intraperitoneal injection) in experimental rats. We measured Aβ1-40 and Aβ1-42 in the cortex and hippocampus in rat brains using ELISA. Subtypes of α-secretase, β-secretase, and γ-secretase, including ADAM9, ADAM10, ADAM17 (TACE), BACE1, presenilin 1 (PS1) and nicastrin (NCT), were determined using western blotting analyses. These results indicated that aluminium-maltolate induced an AD-like behavioural deficit in rats at 30 and 45 mmol/kg body weight. Moreover, the Aβ1-42 content increased significantly, both in the cortex and hippocampus, although no changes were observed in Aβ1-40. Furthermore, ADAM9, ADAM10, and ADAM17 decreased significantly; in contrast, BACE1, PS1, and NCT showed significant increase. Taken together, these results suggest that the changes in secretases may correlate to the abnormal deposition of Aβ by aluminium in rat brains. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 17% |
| Researcher | 5 | 11% |
| Student > Postgraduate | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Professor | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 16 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 15% |
| Neuroscience | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Materials Science | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 22 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 March 2020.
All research outputs
#14,788,263
of 22,768,097 outputs
Outputs from Neurochemical Research
#1,222
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Outputs of similar age
#128,146
of 227,547 outputs
Outputs of similar age from Neurochemical Research
#8
of 22 outputs
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