Evidence map›Paper›PMID 42096431›Full record

ArticlePloS one2026

Computational modeling of intravitreal ranibizumab kinetics: Predicting macular drug concentration and half-life.

Jabia Mostofa Chowdhury

Abstract read
In one paragraph

Article in PloS one, 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

1 author.

Jabia Mostofa ChowdhuryDepartment of Electrical Engineering, Texas A&M University-Texarkana, Texarkana, Texas, United States of America.ORCID https://orcid.org/0009-0002-2901-1355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ranibizumab is a key anti-VEGF therapeutic used to improve treatment efficacy and reduce injection frequency in neovascular retinal diseases. Because experimental pharmacokinetic data in humans are limited, computational modeling provides an effective means to predict ocular drug behavior. In this study, a three-dimensional computational model of the human eye was developed in COMSOL Multiphysics 6.3 to analyze the pharmacokinetics of ranibizumab following intravitreal injection. The model also quantified drug concentration near the macula, the primary target site for neovascular disease, and evaluated it against the minimum threshold concentration required for VEGF suppression. Fluid flow in the vitreous was represented by Darcy's law, while drug convection and diffusion were modeled using the transport of diluted species equation. Four physiological scenarios combining vitreous state (normal vs. partially liquefied) and elimination pathways (anterior dominant vs. both routes) were simulated. Predicted intravitreal half-lives ranged from 2.7 to 4.4 days, consistent with reported human data (2.4 ~ 9 days). The model demonstrates a plausible representation of physiologically relevant ocular pharmacokinetics and provides a computational framework that may assist in exploring dosing strategies and informing the design of intravitreal drug delivery systems.

Indexed as

Angiogenesis InhibitorsAntibodies, Monoclonal, HumanizedComputer SimulationMacula LuteaModels, BiologicalRanibizumabHalf-LifeHumansIntravitreal InjectionsKineticsVascular Endothelial Growth Factor AVitreous BodyAngiogenesis InhibitorsAntibodies, Monoclonal, HumanizedRanibizumabVascular Endothelial Growth Factor A

Identifiers

PMID42096431
PMCPMC13152179

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Registered trials

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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.