Evidence map›Paper›PMID 42514859›Full record

ReviewPharmaceutics2026

Nanomaterial-Enhanced Corneal Cross-Linking: Engineering Strategies for Transforming Keratoconus Management.

Liqin Huang, Yao Fu, Fang Li

Abstract readReview
In one paragraph

Review in Pharmaceutics, 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

3 authors.

Liqin HuangDepartment of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China.ORCID 0009-0000-4554-5483
Yao FuDepartment of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China.
Fang LiDepartment of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China.

Funding

National Natural Science Foundation of China 82203260National Natural Science Foundation of China 82471039
6 · The paper itself

Abstract

Keratoconus, a progressive corneal ectasia, remains a major cause of irreversible visual impairment worldwide. Conventional corneal cross-linking (CXL) with riboflavin/ultraviolet A (UVA) has revolutionized clinical management, yet its efficacy is still constrained by epithelial barriers, oxygen dependence, and safety concerns in thin corneas. Emerging nanotechnology provides a transformative opportunity to overcome these bottlenecks. This review highlights the enhancement of riboflavin delivery efficiency by nanocarriers, the photodynamic optimization of nano-enhanced cross-linking agents, and the synergistic strengthening effect of nanocomposites on corneal mechanical strength. We emphasize not only their potential to enhance drug penetration, improve cross-linking efficiency, and extend clinical indications, but also their role in advancing toward a new generation of personalized, intelligent, and minimally invasive corneal therapy. Finally, we discuss translational challenges, including manufacturing, long-term biosafety, and regulatory frameworks, and present a theoretical roadmap that integrates nanotechnology, real-time imaging, and artificial intelligence (AI)-assisted decision-making to achieve a closed-loop "sense-decide-act" therapeutic system. By situating nanomaterial-enhanced CXL within precision ophthalmology, this review highlights its capacity to redefine the standard of care for keratoconus and related ectatic disorders.

Indexed as

artificial intelligencecorneal cross-linkingkeratoconusnanomaterialtheranosticstransepithelial

Identifiers

PMID42514859
PMCPMC13416406

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.