Evidence map›Paper›PMID 42698447›Full record

ArticleFrontiers in medicine2026

Faricimab in neovascular age-related macular degeneration: aqueous humor cytokine profiling and biomarker correlations.

Zhongqi Wan, Xinxia Chen, Fei Gao, Fei Shi, Rushun Dai, Qing Peng, Qingquan Wei

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zhongqi Wan *Department of Ophthalmology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Xinxia Chen *Department of Ophthalmology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Fei Gao *Department of Ophthalmology, Shanghai Heping Eye Hospital, Shanghai, China.
Fei ShiMIPAV Lab, School of Electronic and Information Engineering, Soochow University, Suzhou, China.
Rushun DaiDepartment of Clinical Laboratory, Shanghai Tenth Hospital, Tongji University School of Medicine, Shanghai, China.
Qing PengDepartment of Ophthalmology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Qingquan WeiDepartment of Ophthalmology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate aqueous humor cytokine profile changes in neovascular age-related macular degeneration (nAMD) patients before and after intravitreal faricimab injection, and their correlation with biomarkers. Methods: Twenty-three nAMD patients and 10 cataract controls were enrolled. Aqueous humor was collected from nAMD patients at baseline and 12 weeks post-faricimab injection, and from controls during phacoemulsification. Twelve cytokines were quantified via multiplex bead-based immunoassay. OCTA measured central macular thickness (CMT) and retinal vessel density in nAMD eyes. Results: Baseline vascular endothelial growth factor (VEGF), Angiopoietin-2 (Ang-2) and HGF levels were higher in nAMD patients than controls. Post-treatment, VEGF and Ang-2 decreased below control levels, while hepatocyte growth factor (HGF) and interferon gamma protein 10 (IP-10) increased significantly. Reductions in Ang-2/VEGF correlated positively with decreased CMT and whole retinal thickness, with concurrent improvements in best-corrected visual acuity. Elevated IP-10 showed a correlative association with reduced superficial foveal vessel density. Conclusion: Faricimab dual-blockades VEGF/Ang-2, reducing their aqueous levels, improving CMT/whole retinal thickness and visual acuity. However, post-treatment HGF/IP-10 upregulation indicates compensatory inflammatory-angiogenic remodeling. IP-10 may serve as a potential correlative biomarker linked to subclinical capillary rarefaction. Future studies should explore combined anti-IP-10 therapy or extended dosing intervals to preserve foveal vasculature while maintaining anti-leakage efficacy.

Indexed as

Angiopoietin-2biomarkersinflammatory factorsneovascular age-related macular degenerationvascular endothelial growth factor

Identifiers

PMID42698447
PMCPMC13541480

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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.