Evidence map›Paper›PMID 35966019›Full record

ArticleFrontiers in molecular neuroscience2022

Age-Dependent Behavioral and Metabolic Assessment of

Shanshan Wang, Taiga Ichinomiya, Paul Savchenko, Swetha Devulapalli, Dongsheng Wang, Gianna Beltz, Takashi Saito, Takaomi C Saido, Steve L Wagner, Hemal H Patel and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  6. Multi-omics delineate growth factor network underlying exercise effects in an Alzheimer's mouse model.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Shanshan WangVeterans Affairs San Diego Healthcare System, San Diego, CA, United States.
Taiga IchinomiyaVeterans Affairs San Diego Healthcare System, San Diego, CA, United States.
Paul SavchenkoVeterans Affairs San Diego Healthcare System, San Diego, CA, United States.
Swetha DevulapalliVeterans Affairs San Diego Healthcare System, San Diego, CA, United States.
Dongsheng WangVeterans Affairs San Diego Healthcare System, San Diego, CA, United States.
Gianna BeltzVeterans Affairs San Diego Healthcare System, San Diego, CA, United States.
Takashi SaitoLaboratory for Proteolytic Neuroscience, RIKEN Brain Science Institute, Saitama, Japan.
Takaomi C SaidoLaboratory for Proteolytic Neuroscience, RIKEN Brain Science Institute, Saitama, Japan.
Steve L WagnerNeurosciences Department, University of California, San Diego, San Diego, CA, United States.
Hemal H PatelVeterans Affairs San Diego Healthcare System, San Diego, CA, United States.
Brian P HeadVeterans Affairs San Diego Healthcare System, San Diego, CA, United States.
University of California, San Diego · USVA San Diego Healthcare System · USRIKEN Center for Brain Science · JP

Funding

BLR&D Merit Review Research Career Scientist Award ApplicationIK6BX005229 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI PATEL, HEMAL H · 2020 to 2025
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BLRD VA IK6 BX005229
6 · The paper itself

Abstract

Mitochondria play a crucial role in Alzheimer's disease (AD) onset and progression. Traditional transgenic AD mouse models which were widely used in the past decades share a common limitation: The overexpression of APP and overproduction of amyloid-beta (Aβ) are accompanied by other APP peptide fragments, which could introduce artificial and non-clinically relevant phenotypes. Here, we performed an in-depth and time-resolved behavioral and metabolic characterization of a clinically relevant AD mouse model engineered to express normal physiological levels of APP harboring humanized Swedish (K670N/M671L), Beyreuther/Iberian (I716F), and Arctic (E693G) mutations (

Indexed as

APPcognition deficitfusion/fission dynamicknock-inmitochondria dysfunction

Identifiers

PMID35966019
PMCPMC9373872
OpenAlexW4288715198

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.