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path(MESH:"Memory Disorders")

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Entity

Name
Memory Disorders
Namespace
mesh
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/mesh-names.belns

Appears in Networks 1

A role for b2* nicotinic receptors in a model of local amyloid pathology induced in dentate gyrus v1.0.0

In-Edges 13

bp(GO:"inflammatory response") causesNoChange path(MESH:"Memory Disorders") View Subject | View Object

We did not detect any glia or microglia activation in WT-APP (Fig. 3C and F) compared with WT-GFP (Fig. 3B and E), meaning that the neuroinflammation does not play a role in the memory deficit we observed PubMed:27522251

Appears in Networks:
Annotations
MeSH
Dentate Gyrus

complex(a(CHEBI:"amyloid-beta"), p(FPLX:CHRN)) increases path(MESH:"Memory Disorders") View Subject | View Object

The hAPP-SLA transduction in DG did not induce a memory deficit in beta2 KO, meaning that the Abeta/beta2-nAChR interaction is required to drive the memory deficit in this model PubMed:27522251

Appears in Networks:
Annotations
MeSH
Dentate Gyrus

complex(a(CHEBI:"amyloid-beta"), p(MGI:Chrnb2)) increases path(MESH:"Memory Disorders") View Subject | View Object

The hAPP-SLA transduction in DG did not induce a memory deficit in beta2 KO, meaning that the Abeta/beta2-nAChR interaction is required to drive the memory deficit in this model PubMed:27522251

Appears in Networks:
Annotations
MeSH
Dentate Gyrus

p(MGI:Chrnb2) decreases path(MESH:"Memory Disorders") View Subject | View Object

In the NPR task (7 months p.i.), the GFP-beta2 spent significantly more time exploring the novel compartment (p = 0.003; Fig. 4A), as well as APP-beta2 (p = 0.017; Fig. 4B). PubMed:27522251

Appears in Networks:
Annotations
MeSH
Dentate Gyrus

composite(p(MGI:App, var("p.Lys670Asn"), var("p.Met671Leu"), var("p.Thr714Ile"), var("p.Val717Ile")), p(MGI:Chrna7)) decreases path(MESH:"Memory Disorders") View Subject | View Object

At 7 months p.i., both GFP-alpha7 (p = 0.9; Fig. 5A) and APP-alpha7 groups (p = 0.3; Fig. 5B) displayed a memory deficit in the NPR task. PubMed:27522251

Appears in Networks:
Annotations
MeSH
Dentate Gyrus

composite(p(MGI:App, var("p.Lys670Asn"), var("p.Met671Leu"), var("p.Thr714Ile"), var("p.Val717Ile")), p(MGI:Chrna7)) decreases path(MESH:"Memory Disorders") View Subject | View Object

The analysis of the total exploration time during the NOR task showed that GFP-alpha7 spent similar time exploring the familiar and the novel objects (p = 0.76; Fig. 5D), whereas APP-alpha7 spent significantly more time exploring the novel object compared with the familiar one (p = 0.01; Fig. 5E) PubMed:27522251

Appears in Networks:
Annotations
MeSH
Dentate Gyrus

p(MGI:App, var("p.Lys670Asn"), var("p.Met671Leu"), var("p.Thr714Ile"), var("p.Val717Ile")) increases path(MESH:"Memory Disorders") View Subject | View Object

However, the analysis of the recognition percentage for the same set of data showed that GFP-WT spent significantly more time exploring the novel object compared with APP-WT (p = 0.0032; Fig. 2E), suggesting the presence of a memory deficit in the APP-WT group. PubMed:27522251

Appears in Networks:
Annotations
MeSH
Dentate Gyrus

p(MGI:App, var("p.Lys670Asn"), var("p.Met671Leu"), var("p.Thr714Ile"), var("p.Val717Ile")) increases path(MESH:"Memory Disorders") View Subject | View Object

Hence, the transduction of hAPP-SLA in DG induces recognition memory deficits as supported by NPR and NOR tasks PubMed:27522251

Appears in Networks:
Annotations
MeSH
Dentate Gyrus

p(MGI:App, var("p.Lys670Asn"), var("p.Met671Leu"), var("p.Thr714Ile"), var("p.Val717Ile")) increases path(MESH:"Memory Disorders") View Subject | View Object

Similarly, in the NOR task (15 months p.i.), both the GFP-beta2 and the APP-beta2 displayed higher exploration of the novel object (p < 0.0001 and p = 0.0001, respectively; Fig. 4C and D), with no differences between the 2 groups in the recognition index (p = 0.7; Fig. 4E), meaning that beta2 mice injected with hAPP-SLA did not exhibit the recognition memory deficit observed in APP-WT PubMed:27522251

Appears in Networks:
Annotations
MeSH
Dentate Gyrus

p(MGI:Chrna7) decreases path(MESH:"Memory Disorders") View Subject | View Object

Noninjected mice spent the same amount of time exploring novel and familiar compartments during the test session (p = 0.6; Fig. 5C), confirming the presence of a constitutive recognition memory deficit in age-matched alpha7 KO mice PubMed:27522251

Appears in Networks:
Annotations
MeSH
Dentate Gyrus

p(MGI:Chrna7) decreases path(MESH:"Memory Disorders") View Subject | View Object

Because the alpha7 KO had a memory deficit independent of hAPP-SLA expression, we could not draw any conclusion on the role of alpha7 in the memory deficit observed PubMed:27522251

Appears in Networks:
Annotations
MeSH
Dentate Gyrus

composite(p(MGI:App, var("p.Lys670Asn"), var("p.Met671Leu"), var("p.Thr714Ile"), var("p.Val717Ile")), p(MGI:Chrnb2)) decreases path(MESH:"Memory Disorders") View Subject | View Object

In the NPR task (7 months p.i.), the GFP-beta2 spent significantly more time exploring the novel compartment (p = 0.003; Fig. 4A), as well as APP-beta2 (p = 0.017; Fig. 4B). PubMed:27522251

Appears in Networks:
Annotations
MeSH
Dentate Gyrus

composite(p(MGI:App, var("p.Lys670Asn"), var("p.Met671Leu"), var("p.Thr714Ile"), var("p.Val717Ile")), p(MGI:Chrnb2)) decreases path(MESH:"Memory Disorders") View Subject | View Object

Similarly, in the NOR task (15 months p.i.), both the GFP-beta2 and the APP-beta2 displayed higher exploration of the novel object (p < 0.0001 and p = 0.0001, respectively; Fig. 4C and D), with no differences between the 2 groups in the recognition index (p = 0.7; Fig. 4E), meaning that beta2 mice injected with hAPP-SLA did not exhibit the recognition memory deficit observed in APP-WT PubMed:27522251

Appears in Networks:
Annotations
MeSH
Dentate Gyrus

Out-Edges 0

About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.