Evidence map›Paper›PMID 42125154›Full record

ReviewRSC medicinal chemistry2026

Small-molecule therapeutics for diabetic retinopathy: from VEGFR inhibitors to emerging non-VEGF targets.

Yan Li, Wenfang Zhang, Yinliang Bai, Honghua Zhang

Abstract readReview
In one paragraph

Review in RSC medicinal chemistry, 2026. 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.

Yan LiThe Second Hospital & Clinical Medical School, Lanzhou University Lanzhou 730000 China 18809310837@139.com.
Wenfang ZhangThe Second Hospital & Clinical Medical School, Lanzhou University Lanzhou 730000 China 18809310837@139.com.
Yinliang BaiDepartment of Pharmacy, Lanzhou University Second Hospital Lanzhou 730030 China.
Honghua ZhangDepartment of Pharmacy, National University of Singapore Singapore 117544 Singapore honghuaft2022@163.com.ORCID https://orcid.org/0000-0003-1228-5616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic retinopathy (DR) remains a leading cause of vision loss worldwide and is driven largely by chronic microvascular dysfunction dominated by vascular endothelial growth factor (VEGF) signaling. Although biologics have transformed anti-VEGF therapy, small molecules continue to attract interest because of their structural tunability, multitarget potential, and compatibility with diverse delivery platforms. In this review, we summarize the medicinal-chemistry progress of small-molecule therapeutics for DR, with emphasis not only on target classes and scaffold design, but also on the developmental advancement of representative agents. VEGF/VEGFR-directed programs now span early proof-of-concept inhibitors, ocularly optimized topical candidates, and clinically advanced depot-enabled tyrosine kinase inhibitors, whereas non-VEGF approaches include validated lead series targeting soluble epoxide hydrolase, STAT3, adiponectin receptors, integrins, and other mechanistically complementary pathways. Importantly, the field remains highly uneven: a limited number of compounds have achieved meaningful translational or clinical progress, while many others remain exploratory despite compelling biology. Taken together, current evidence suggests that the most promising future direction lies not in potency optimization alone, but in integrating scaffold design with ocular pharmacokinetics, formulation, and route-specific delivery to define realistic therapeutic niches in diabetic retinal diseases.

Identifiers

PMID42125154
PMCPMC13159018

What OpenQuestion holds

Textmetadata
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.