Evidence map›Paper›PMID 35323931›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022

Nontransgenic Guinea Pig Strains Exhibit Hallmarks of Human Brain Aging and Alzheimer's Disease.

Devin Wahl, Julie A Moreno, Kelly S Santangelo, Qian Zhang, Maryam F Afzali, Maureen A Walsh, Robert V Musci, Alyssa N Cavalier, Karyn L Hamilton, Thomas J LaRocca

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Alzheimer's Disease Neuropathological Change in Aged Non-Primate Mammals.International journal of molecular sciences · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
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

10 authors at 1 institution in 1 country.

Devin WahlDepartment of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0003-2794-0185
Julie A MorenoDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
Kelly S SantangeloDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Qian ZhangDepartment of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, USA.
Maryam F AfzaliDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Maureen A WalshDepartment of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0003-0600-9455
Robert V MusciDepartment of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, USA.
Alyssa N CavalierDepartment of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, USA.
Karyn L HamiltonDepartment of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, USA.
Thomas J LaRoccaDepartment of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, USA.
Colorado State University · US

Funding

Inclusive Transcriptomics to Uncover Molecular Mechanisms Underlying HealthspanR21AG060302 · NIA · COLORADO STATE UNIVERSITY · PI LAROCCA, THOMAS · 2019 to 2020
$765k
Role of repetitive element transcripts in brain aging and Alzheimer's diseaseF32AG069361 · NIA · COLORADO STATE UNIVERSITY · PI WAHL, DEVIN · 2021 to 2023
$210k
NIA NIH HHS AG060302NIA NIH HHS F32 AG069361NIH HHS
6 · The paper itself

Abstract

Older age is the primary risk factor for most chronic diseases, including Alzheimer's disease (AD). Current preclinical models to study brain aging and AD are mainly transgenic and harbor mutations intended to mirror brain pathologies associated with human brain aging/AD (eg, by increasing production of the amyloid precursor protein, amyloid beta [Aβ], and/or phosphorylated tau, all of which are key pathological mediators of AD). Although these models may provide insight on pathophysiological processes in AD, none completely recapitulate the disease and its strong age-dependence, and there has been limited success in translating preclinical results and treatments to humans. Here, we describe 2 nontransgenic guinea pig (GP) models, a standard PigmEnTed (PET) strain, and lesser-studied Dunkin-Hartley (DH) strain, that may naturally mimic key features of brain aging and AD in humans. We show that brain aging in PET GP is transcriptomically similar to human brain aging, whereas older DH brains are transcriptomically more similar to human AD. Both strains/models also exhibit increased neurofilament light chain (NFL, a marker of neuronal damage) with aging, and DH animals display greater S100 calcium-binding protein B (S100β), ionized calcium-binding adapter molecule 1 (Iba1), and Aβ and phosphorylated tau-which are all important markers of neuroinflammation-associated AD. Collectively, our results suggest that both the PET and DH GP may be useful, nontransgenic models to study brain aging and AD, respectively.

Indexed as

Alzheimer DiseaseAgingAmyloid beta-PeptidesAmyloid beta-Protein PrecursorAnimalsBiomarkersBrainDisease Models, AnimalGuinea PigsHumanstau ProteinsAmyloid beta-PeptidesAmyloid beta-Protein PrecursorBiomarkerstau ProteinsAlzheimer’s diseaseBrain agingInflammationTranscriptomics

Identifiers

PMID35323931
PMCPMC9434446
OpenAlexW4220825119

What OpenQuestion holds

Textmetadata
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.