Evidence map›Paper›PMID 39407407›Full record

ArticleCell proliferation2025

Gdf11 regulates left-right asymmetry development through TGF-β signal.

Wantao Yao, Zhaohui Wei, Xinning Tian, Jin Tan, Jingwen Liu

Abstract read
In one paragraph

Article in Cell proliferation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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. Article
  2. 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

5 authors.

Wantao YaoSchool of Basic Medicine, Anhui Medical University, Hefei, China.
Zhaohui WeiCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
Xinning TianSchool of Basic Medicine, Anhui Medical University, Hefei, China.
Jin TanSchool of Basic Medicine, Anhui Medical University, Hefei, China.ORCID https://orcid.org/0009-0004-8867-476X
Jingwen LiuSchool of Basic Medicine, Anhui Medical University, Hefei, China.ORCID https://orcid.org/0000-0002-2602-3118

Funding

Anhui Medical University 0101045201National Natural Science Foundation of China 32300681The Education Department of Anhui Province of China 2023AH050657
6 · The paper itself

Abstract

During the embryonic developmental stage in vertebrates, internal organs are arranged along the left-right axis. Disruptions in this process can result in congenital diseases or laterality disorders. The molecular mechanisms of left-right asymmetry in vertebrate development remain largely unclear. Due to its straightforward structure, zebrafish has become a favoured model for studying early laterality events. Here, we demonstrate that growth and development factor 11 (Gdf11) is essential for left-right development via TGF-β signalling. Morphological analysis showed that gdf11 morphants and mutants displayed clear heart and liver laterality disorders in a Nodal signal-dependent manner. Additionally, we found that Kupffer's vesicle formation and ciliogenesis were impaired following gdf11 deletion. We also observed that Gdf11 may form a heterodimer with Spaw, which promotes Smad2/3 phosphorylation and activates TGF-β signalling. Subsequently, Gdf11 promotes left-right laterality by stimulating Foxj1a and its target gene expression. In summary, we reveal a critical role of Gdf11 in left-right patterning, providing fundamental insights into the developmental process of left-right asymmetry.

Indexed as

Body PatterningBone Morphogenetic ProteinsGrowth Differentiation FactorsTransforming Growth Factor betaZebrafishZebrafish ProteinsAnimalsGene Expression Regulation, DevelopmentalSignal TransductionBone Morphogenetic ProteinsGrowth Differentiation FactorsTransforming Growth Factor betaZebrafish Proteins

Identifiers

PMID39407407
PMCPMC11882743

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Registered trials

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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.