Evidence map›Paper›PMID 39637754›Full record

ArticleBiomedicine & pharmacotherapy = Biomedecine & pharmacotherapie2024

Combining supervised and unsupervised analyses to quantify behavioral phenotypes and validate therapeutic efficacy in a triple transgenic mouse model of Alzheimer's disease.

Thais Del Rosario Hernandez, Narendra R Joshi, Sayali V Gore, Jill A Kreiling, Robbert Creton

Abstract read
In one paragraph

Article in Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Thais Del Rosario HernandezDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI United States. Electronic address: Thais_Del_Rosario_Hernandez@Brown.edu.
Narendra R JoshiDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI United States.
Sayali V GoreDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI United States.
Jill A KreilingDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI United States.
Robbert CretonDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI United States.

Funding

Emerging imaging technologies for automated analyses of calcineurin-dependent brain functionR01GM136906 · NIGMS · BROWN UNIVERSITY · PI CRETON, ROBBERT J · 2020 to 2023
$1.6M
NIGMS NIH HHS R01 GM136906
6 · The paper itself

Abstract

Behavioral testing is an essential tool for evaluating cognitive function and dysfunction in preclinical research models. This is of special importance in the study of neurological disorders such as Alzheimer's disease. However, the reproducibility of classic behavioral assays is frequently compromised by interstudy variation, leading to ambiguous conclusions about the behavioral markers characterizing the disease. Here, we identify age- and genotype-driven differences between 3xTg-AD and non-transgenic control mice using a low-cost, highly customizable behavioral assay that requires little human intervention. Through behavioral phenotyping combining both supervised and unsupervised behavioral classification methods, we are able to validate the preventative effects of the immunosuppressant cyclosporine A in a rodent model of Alzheimer's disease, as well as the partially ameliorating effects of candidate drugs nebivolol and cabozantinib.

Indexed as

Alzheimer DiseaseBehavior, AnimalDisease Models, AnimalMice, TransgenicPhenotypeAnimalsFemaleMaleMiceMice, Inbred C57BLReproducibility of ResultsSupervised Machine LearningUnsupervised Machine Learning3xTg-ADAlzheimer's diseaseBehavior classificationCyclosporineGait analysis

Identifiers

PMID39637754
PMCPMC11755788

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.