Development of a Probability-Based In Vitro Eye Irritation Screening Platform.

Seep Arora, Anna Goralczyk, Sujana Andra, Soon Yew John Lim, Yi-Chin Toh

Abstract read

In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. 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

5 authors.

Seep AroraDepartment of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore.

Anna GoralczykDepartment of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore.

Sujana AndraDepartment of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore.

Soon Yew John LimA*STAR Microscopy Platform, 61 Biopolis Drive, #06-20 Proteos, Singapore 138673, Singapore.ORCID 0000-0001-9837-6644

Yi-Chin TohDepartment of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore.

Funding

A*STAR BMRC Strategic Positioning Fund APG2013/084Australian Research Council Future Fellowship FT180100157

6 · The paper itself

Abstract

Traditional eye irritation assessments, which rely on animal models or ex vivo tissues, face limitations due to ethical concerns, costs, and low throughput. Although numerous in vitro tests have been developed, none have successfully reconciled the need for high experimental throughput with the accurate prediction of irritation potential, attributable to the complexity of irritation mechanisms. Simple cell models, while suitable for high-throughput screening, offer limited mechanistic insights, contrasting with more physiologically relevant but less scalable complex organotypic corneal tissue constructs. This study presents a novel strategy to enhance the predictive accuracy of screening-compatible simple cell models in eye irritation testing. Our method combines the results of two in vitro assays-cell apoptosis and nociceptor (

Indexed as

3Rs toolcell micropatterningeye irritation testnociceptionTRPV1 receptor

Identifiers

PMID38671735

DOI10.3390/bioengineering11040315

PMCPMC11047661

What OpenQuestion 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 OpenQuestion graph.