Evidence map›Paper›PMID 41854210›Full record

ArticleInvestigative ophthalmology & visual science2026

Nintedanib Eye Drops Inhibit Alkali Burn-Induced Corneal Neovascularization Via RAP1/MEK/ERK Signaling Pathway.

Jingfan Li, Ge Zhang, Jiake Li, Ruixing Liu, Lei Zhu, Jingguo Li, Zhanrong Li

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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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

7 authors.

Jingfan LiHenan Eye Hospital, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Ge ZhangHenan Eye Hospital, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Jiake LiHenan Eye Hospital, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Ruixing LiuHenan Eye Hospital, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Lei ZhuHenan Eye Hospital, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Jingguo LiHenan Eye Hospital, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Zhanrong LiHenan Eye Hospital, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the effect of topical nintedanib (NTD) eye drops on alkali burn-induced corneal neovascularization (CNV) and the mechanisms involved. Methods: The effects of NTD on the proliferation, migration, and tube-like structure formation assays were evaluated in human umbilical vein endothelial cells (HUVECs). RNA sequencing was performed to identify differentially expressed genes following NTD treatment. The expression of the RAP1A/MEK/HIF-1α axis was assessed by immunofluorescence (IF) and western blotting in HUVECs after NTD treatment. A CNV mouse model was established, and topically administered NTD eye drops three times daily for 10 consecutive days. Hematoxylin and eosin staining and IF were performed on days 3 and 7 after modeling. CNV was quantitatively analyzed after cardiac perfusion on day 10. Results: In vitro, NTD inhibited the proliferation, migration, and tube-like structure formation of HUVECs. RAP1 and MAPK signaling pathways were enriched by RNA sequencing analysis. NTD downregulated the expressions of RAP1A, p-MEK, p-ERK1/2, HIF-1α, VEGFA, and VEGFR2 in VEGF-stimulated HUVECs. In vivo, NTD eye drops demonstrated appropriate osmolarity and pH values. Compared to the control and vehicle groups, NTD eye drops suppressed CNV, inflammation, and the expression of LYVE1, CD31, VEGFA, and RAP1 in the cornea. Conclusions: Topical NTD administration effectively reduced alkali burn-induced CNV, which was related to the RAP1/MEK/ERK pathway. NTD could be an effective treatment strategy for CNV post-alkali injury.

Indexed as

Burns, ChemicalCorneal NeovascularizationEye BurnsIndolesMAP Kinase Signaling Systemrap1 GTP-Binding ProteinsAnimalsBlotting, WesternCell MovementCell ProliferationCells, CulturedDisease Models, AnimalHumansHuman Umbilical Vein Endothelial CellsMaleMiceIndolesOphthalmic Solutionsrap1 GTP-Binding Proteins

Identifiers

PMID41854210
PMCPMC13012193

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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.