MétaCan
Menu
Back to cohort
Record W4390989137 · doi:10.1111/aos.15838

The effect of zinc on the stiffness of chicken lenses

2024· article· en· W4390989137 on OpenAlexaff
Shilpa Gorla, Vivian Choh

Bibliographic record

VenueActa Ophthalmologica · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnexins and lens biology
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsLens (geology)ZincChemistryStiffnessExponential functionBiomedical engineeringAnatomyMaterials scienceOpticsMathematicsBiologyComposite materialPhysicsMathematical analysisMedicine

Abstract

fetched live from OpenAlex

Aims/Purpose: Aquaporins are specialized water channels. A volume change through permeable aquaporins may be necessary for the lens' ability to change shape during accommodation1. This study aimed to determine the effects of zinc2, an agonist that increases aquaporin 0 (AQP0) permeability in oocytes, on the biomechanics of chicken lenses. Methods: White Leghorn chickens (Gallus gallus domesticus, N = 6) were sacrificed at 14 days of age. Both eyes were enucleated and lenses were dissected in Tyrode's solution (TS). One lens from each bird was treated with zinc chloride (80 μg/mL in TS for 15 min, at room temperature; RT), while the other lens (control lens) was incubated in TS (15 min, RT). Lenses were compressed (CellScale Micro Tester G2) to test their biomechanical integrity. For each lens, force‐compression data were generated by the MicroTester G2 software (ver. 1.0.0.1) and fit to a three‐parameter exponential curve with the equation y = y0 + aebx; the unitless b‐coefficient of the exponential equation was used to assess stiffness as it describes how rapidly the force increases as the compression distance increases. B‐coefficients from each curve were extracted and the effects of zinc treated versus control lenses were analysed using a paired t‐test. Results: The b‐coefficient value for zinc‐treated lenses averaged to 4.2 ± 0.8 while the mean value for control lenses was significantly (p = 0.01) lower at 3.2 ± 0.5, indicating that zinc‐treated lenses were stiffer. Conclusions: The compression data show a zinc‐associated increase in lens stiffness. AQP0 typically plays a role in allowing water to enter, but not exit, the lens, therefore zinc may have led to an increase in water content, resulting in stiffer lenses. However, water permeability was not measured in this study, therefore the AQP0‐associated mechanism of lens stiffening cannot be confirmed. Further study is needed to determine zinc's action on the biomechanics of the lens. References 1. Gerometta R, Candia OA. A decrease in the permeability of aquaporin zero as a possible cause for presbyopia. Medical Hypotheses. 2016 Jan 1;86:132–4. 2. Németh‐Cahalan KL, Kalman K, Froger A, Hall JE. Zinc modulation of water permeability reveals that aquaporin 0 functions as a cooperative tetramer. The Journal of general physiology. 2007 Nov;130(5):457–64.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.275
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueActa OphthalmologicaSame topicConnexins and lens biologyFrench-language works237,207