Evidence map›Paper›PMID 40598150›Full record

ArticleBMC biology2025

Brain miR-137 governs growth and development via GH/IGF-1 signaling.

Keng-Mao Liao, Wei-Lun Hsu, Wan-Yi Huang, Wei-Jia Luo, Jung-Hsuan Chang, Sung-Liang Yu, Pan-Chyr Yang, Kang-Yi Su

Abstract read
In one paragraph

Article in BMC biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Keng-Mao LiaoDepartment of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 100233, Taiwan.
Wei-Lun HsuDepartment of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 100233, Taiwan.
Wan-Yi HuangDepartment of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 100233, Taiwan.
Wei-Jia LuoDepartment of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 100233, Taiwan.
Jung-Hsuan ChangDepartment of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 100233, Taiwan.
Sung-Liang YuDepartment of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 100233, Taiwan.
Pan-Chyr YangDepartment of Internal Medicine, College of Medicine, National Taiwan University, Taipei, 100233, Taiwan.
Kang-Yi SuDepartment of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 100233, Taiwan. suky@ntu.edu.tw.ORCID http://orcid.org/0000-0002-6538-9526

Funding

National Science and Technology Council MOST111-2628-B-002-029-MY3
6 · The paper itself

Abstract

backgroundBrain-enriched miR-137 is highly associated with neuropsychiatric disorders and neural development. Although complete loss of miR-137 that leads to postnatal lethality had been addressed in mice, the underlying mechanism particularly related to growth and development remains unknown.

resultsMiR-137-deficient mice (Mir137

conclusionsThis study underscores the critical role of miR-137 in failure to thrive through regulation of the GH/IGF-1 axis and supports the use of MiR137

Indexed as

BrainGrowth HormoneInsulin-Like Growth Factor IMicroRNAsSignal TransductionAnimalsLiverMaleMiceMice, Inbred C57BLMice, KnockoutGrowth Hormoneinsulin-like growth factor-1, mouseInsulin-Like Growth Factor IMicroRNAsMIRN137 microRNA, mouseGH resistanceGrowth retardationIGF-1Knockout miceMiR-137

Identifiers

PMID40598150
PMCPMC12219031

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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.