Evidence map›Paper›PMID 42818217›Full record

ArticlebioRxiv : the preprint server for biology2026

Experimental Assessment of Iris Water Content and Sex Differences in Mature Rabbits.

Nima Rafezi, Sunaya A Rahman, Babak N Safa

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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.

Nima RafeziDepartment of Medical Engineering, University of South Florida, Tampa, FL, USA.ORCID 0009-0007-5598-1714
Sunaya A RahmanDepartment of Medical Engineering, University of South Florida, Tampa, FL, USA.
Babak N SafaDepartment of Medical Engineering, University of South Florida, Tampa, FL, USA.ORCID 0000-0002-1849-2870

Funding

The role of iris biomechanics and sex differences in primary angle-closure glaucomaR00EY035360 · NEI · UNIVERSITY OF SOUTH FLORIDA · PI Babak Naghizadehsafa · 2024 to 2026
$747k
NEI NIH HHS R00 EY035360
6 · The paper itself

Abstract

Iris biomechanics plays a key role in primary angle-closure glaucoma (PACG). Soft tissue biomechanics is heavily influenced by tissue water content; therefore, accurately assessing water content is needed to describe iris biomechanics in a physiologically relevant manner. Yet, accurate experimental measurements of iris water content are rare in the literature. Therefore, our objective was to experimentally assess iris water content and potential sex differences in New Zealand White rabbit iris-a suitable model for studying iris biomechanics. We also examined the effect of exposure to phosphate-buffered saline (PBS) on iris water content, given its common use to maintain hydration during soft-tissue biomechanical testing. Our results showed slightly higher water content in males (89.2% ± 2.3%) than in females (87.7% ± 2.2%) (p = 0.022), while we found no significant differences in gross iris morphology between the sexes, indicating subtle compositional differences. Furthermore, PBS incubation had a minimal effect on water content only in female irides. Overall, our results indicated high iris water content in both sexes compared with anatomically adjacent ocular tissues and other soft connective tissues. These results improve our understanding of iris composition and physiology and can serve as a baseline for constructing biomechanical models to assess its role in PACG.

Indexed as

Angle closureBiomechanicsGlaucomaHydrationIrisPACGWater Content

Identifiers

PMID42818217
PMCPMC13622451

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.