Evidence map›Paper›PMID 35082657›Full record

ReviewFrontiers in aging neuroscience2021

Positron Emission Tomography in Animal Models of Tauopathies.

Lei Cao, Yanyan Kong, Bin Ji, Yutong Ren, Yihui Guan, Ruiqing Ni

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. [Molecules (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Magnetic Resonance Imaging in Tauopathy Animal Models.Frontiers in aging neuroscience · 2021
    Review
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

6 authors at 4 institutions in 2 countries.

Lei CaoInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Yanyan KongPET Center, Huashan Hospital, Fudan University, Shanghai, China.
Bin JiDepartment of Radiopharmacy and Molecular Imaging, School of Pharmacy, Fudan University, Shanghai, China.
Yutong RenGuangdong Robotics Association, Guangzhou, China.
Yihui GuanPET Center, Huashan Hospital, Fudan University, Shanghai, China.
Ruiqing NiInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Huashan Hospital · CNUniversity of Zurich · CHFudan University · CNShenzhen Academy of Robotics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microtubule-associated protein tau (MAPT) plays an important role in Alzheimer's disease and primary tauopathy diseases. The abnormal accumulation of tau contributes to the development of neurotoxicity, inflammation, neurodegeneration, and cognitive deficits in tauopathy diseases. Tau synergically interacts with amyloid-beta in Alzheimer's disease leading to detrimental consequence. Thus, tau has been an important target for therapeutics development for Alzheimer's disease and primary tauopathy diseases. Tauopathy animal models recapitulating the tauopathy such as transgenic, knock-in mouse and rat models have been developed and greatly facilitated the understanding of disease mechanisms. The advance in PET and imaging tracers have enabled non-invasive detection of the accumulation and spread of tau, the associated microglia activation, metabolic, and neurotransmitter receptor alterations in disease animal models.

Indexed as

Alzheimer’s diseaseanimal modelFTD (fronto-temporal dementia)neuroinflammationneurotransmitterpositron emission tomographytau

Identifiers

PMID35082657
PMCPMC8784812
OpenAlexW4205319131

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.