Evidence map›Paper›PMID 31001136›Full record

ReviewFrontiers in physiology2019

Contributions of Animal Models to the Mechanisms and Therapies of Transthyretin Amyloidosis.

Ridwan Babatunde Ibrahim, Yo-Tsen Liu, Ssu-Yu Yeh, Jin-Wu Tsai

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

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  14. The neuropathy in hereditary transthyretin amyloidosis: A narrative review.Journal of the peripheral nervous system : JPNS · 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

4 authors at 2 institutions in 1 country.

Ridwan Babatunde IbrahimInstitute of Brain Science, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
Yo-Tsen LiuInstitute of Brain Science, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
Ssu-Yu YehInstitute of Brain Science, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
Jin-Wu TsaiInstitute of Brain Science, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
National Yang Ming Chiao Tung University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transthyretin amyloidosis (ATTR amyloidosis) is a fatal systemic disease caused by amyloid deposits of misfolded transthyretin, leading to familial amyloid polyneuropathy and/or cardiomyopathy, or a rare oculoleptomeningeal amyloidosis. A good model system that mimic the disease phenotype is crucial for the development of drugs and treatments for this devastating degenerative disorder. The present models using fruit flies, worms, rodents, non-human primates and induced pluripotent stem cells have helped researchers understand important disease-related mechanisms and test potential therapeutic options. However, the challenge of creating an ideal model still looms, for these models did not recapitulates all symptoms, particularly neurological presentation, of ATTR amyloidosis. Recently, knock-in techniques was used to generate two humanized ATTR mouse models, leading to amyloid deposition in the nerves and neuropathic manifestation in these models. This review gives a recent update on the milestone, progress, and challenges in developing different models for ATTR amyloidosis research.

Indexed as

animal modelC. elegansD. melanogasterfamilial amyloid polyneuropathyiPSCneurodegenerative disordertransgenic mousetransthyretin

Identifiers

PMID31001136
PMCPMC6454033
OpenAlexW2927158070

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.