Evidence map›Paper›PMID 41516158›Full record

ArticleInternational journal of molecular sciences2025

Multilevel Screening Platform Utilizing Cellular and Zebrafish Models to Identify Short Peptides with High Improvement of Motor Neuron Growth.

Bing-Chang Lee, Chun-Cheng Wang, Shan-Pin Chen, Huai-Jen Tsai

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Bing-Chang LeeDepartment of Life Science, Fu Jen Catholic University, New Taipei City 242, Taiwan.
Chun-Cheng WangInstitute of Molecular and Cellular Biology, National Taiwan University, Taipei 106, Taiwan.
Shan-Pin ChenInstitute of Molecular and Cellular Biology, National Taiwan University, Taipei 106, Taiwan.
Huai-Jen TsaiDepartment of Life Science, Fu Jen Catholic University, New Taipei City 242, Taiwan.ORCID 0000-0001-8242-4939

Funding

Collaborative Research Project between Fu Jen Catholic University Hospital and Fu Jen Catholic University, Taiwan CPL-202508003Fu Jen Catholic University, Taiwan 9991F02-1120232 and A0113210National Science and Technology Council, Taiwan NSTC-114-2313-B-030-001
6 · The paper itself

Abstract

Zebrafish is emerging as a model animal for phenotype-based drug screening. Drugs screened from the zebrafish platform have advanced into clinical trials, underscoring their translational potential. Amyotrophic lateral sclerosis is a progressive motor neurons (MN) degenerative disease with few approved drugs. Previously, supplementation with exogenous recombinant phosphoglycerate kinase 1 (Pgk1) was found to improve MN growth through its interaction with receptor Eno2. To bypass the high complexity and cost of full-length Pgk1 production, a short segment within Pgk1 (M08) was predicted as the key motif interacting with Eno2, and a zebrafish phenotypic screening platform was established to find the most neurotrophic compound(s) among M08 and its mutants. We first found that M08-injected zebrafish embryos significantly increased branched caudal primary MNs (CaPMNs). However, compared to M08 (59.20 ± 1.80%), M039, among 17 mutants further screened, showed even more improvement of branched CaPMNs, up to 74.54 ± 3.73%. Next, when we administered the M039 peptide to

Indexed as

Motor NeuronsPeptidesAmyotrophic Lateral SclerosisAnimalsDisease Models, AnimalHumansNeuronal OutgrowthZebrafishPeptidesmotor neuronsneuroprotectionphenotypesshort peptideszebrafish

Identifiers

PMID41516158
PMCPMC12785738

What OpenQuestion holds

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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 OpenQuestion graph.