Evidence map›Paper›PMID 39868193›Full record

ArticlebioRxiv : the preprint server for biology2025

Interleukin-34 and debris clearance by mononuclear phagocytes drive retinal pigment epithelium regeneration in zebrafish.

Lyndsay L Leach, Rebecca G Gonzalez, Sayuri U Jayawardena, Jeffrey M Gross

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lyndsay L LeachDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX, United States of America.ORCID 0000-0002-5138-1371
Rebecca G GonzalezDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX, United States of America.
Sayuri U JayawardenaDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX, United States of America.
Jeffrey M GrossDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX, United States of America.

Funding

Virus Production and Manipulation of Protein/Gene Expression ModuleP30EY008098 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Yuanyuan Chen · 1989 to 2026
$17.8M
Elucidating the Molecular Underpinnings of Endogenous RPE RegenerationR01EY029410 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI Jeffrey Gross · 2019 to 2026
$2.4M
NEI NIH HHS P30 EY008098NEI NIH HHS R01 EY029410
6 · The paper itself

Abstract

The retinal pigment epithelium (RPE) surrounds the posterior eye and maintains the health and function of the photoreceptors. Consequently, RPE dysfunction or damage has a devastating impact on vision. Due to complex etiologies, there are currently no cures for patients with RPE degenerative diseases, which remain some of the most prevalent causes of vision loss worldwide. Further, owing to a limited capacity for mammalian tissue repair, we know little about how the RPE regenerates. Here, we utilize zebrafish as a model to uncover novel mechanisms driving intrinsic RPE regeneration. We show that interleukin-34 signaling from damaged RPE is required for precisely timed recruitment of mononuclear phagocytes (MNPs) to the injury site. Additionally, we find that cellular debris clearance by MNPs is indispensable for regeneration, as microglia-deficient zebrafish fail to regenerate RPE and photoreceptor tissues. Together, our results establish specific pro-regenerative functions of MNPs after RPE damage.

Identifiers

PMID39868193
PMCPMC11761032

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.