Evidence map›Paper›PMID 38903773›Full record

ArticleFrontiers in cellular neuroscience2024

TRPV4 affects visual signals in photoreceptors and rod bipolar cells.

Ye Long, Maxim Kozhemyakin, Samuel M Wu, Ji-Jie Pang

Abstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2024. 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. 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

4 authors.

Ye LongDepartment of Ophthalmology, Baylor College of Medicine, Houston, TX, United States.
Maxim KozhemyakinDepartment of Ophthalmology, Baylor College of Medicine, Houston, TX, United States.
Samuel M WuDepartment of Ophthalmology, Baylor College of Medicine, Houston, TX, United States.
Ji-Jie PangDepartment of Ophthalmology, Baylor College of Medicine, Houston, TX, United States.

Funding

VISION RESEARCH CENTERP30EY002520 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Samuel M Wu · 1985 to 2026
$14.8M
VISUAL SCIENCEST32EY007001 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Samuel M Wu · 1985 to 2026
$3.7M
Multi-Cellular Analysis of the Retinal NetworkR01EY033492 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Xiaolong Jiang, Samuel M Wu · 2022 to 2026
$2.0M
NEI NIH HHS P30 EY002520NEI NIH HHS R01 EY033492NEI NIH HHS T32 EY007001
6 · The paper itself

Abstract

Introduction: Mechanical sensitive channels expressed in mammalian retinas are effectors of elevated pressure stresses, but it is unclear how their activation affects visual function in pressure-related retinal disorders. Methods: This study investigated the role of the transient potential channel vanilloid TRPV4 in photoreceptors and rod bipolar cells (RBCs) with immunohistochemistry, confocal microscopy, electroretinography (ERG), and patch-clamp techniques. Results: TRPV4 immunoreactivity (IR) was found in the outer segments of photoreceptors, dendrites and somas of PKCα-positive RBCs and other BCs, plexiform layers, and retinal ganglion cells (RGCs) in wild-type mice. TRPV4-IR was largely diminished in the retinas of homozygous TRPV4 transgenic mice. Genetically suppressing TRPV4 expression moderately but significantly enhanced the amplitude of ERG a- and b-waves evoked by scotopic and mesopic lights (0.55 to 200 Rh*rod Conclusions: The data indicates that TRPV4 involves ocular development and is expressed and active in outer retinal neurons, and interventions of TRPV4 can variably affect visual signals in rods, cones, RBCs, and cone ON BCs.

Indexed as

confocal microscopyERGimmunocytochemistrylight responsepatch-clampphotoreceptorrod bipolar cellTRPV4

Identifiers

PMID38903773
PMCPMC11188360

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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.