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Record W4412437077 · doi:10.1016/j.ajoc.2025.102386

Successful treatment of bilateral familial iris flocculi associated with aortic valve abnormalities

2025· article· en· W4412437077 on OpenAlexaff
Liam Redden, Hesham Lakosha, Kamran M. Riaz

Bibliographic record

VenueAmerican Journal of Ophthalmology Case Reports · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsGreenfield Research (Canada)
Fundersnot available
KeywordsMedicineAortic valveIRIS (biosensor)Internal medicineCardiologyOphthalmology

Abstract

fetched live from OpenAlex

Purpose To report a case of familial iris flocculi in siblings associated with a possibly life-threatening aortic valve manifestation due to a smooth muscle alpha-actin 2 ( ACTA2 ) gene variant and demonstrate successful treatment of iris flocculi with laser. Observations Two biological siblings, a 21-year-old male and a 24-year-old female, both presented with bilateral iris flocculi. The flocculi were causing visual disturbances for both patients. Treatment was provided in the form of yttrium aluminum garnet (YAG) laser to the cysts and remained stable at 2 year follow up. Cardiac investigations were launched and the female patient demonstrated a bicuspid aortic valve with a mildly dilated ascending aorta. Cardiac investigations for the male patient were normal. Gene sequencing revealed a pathogenic variant in the ACTA2 gene. Conclusions and Importance Bilateral iris flocculi is a rare ocular condition that can demonstrate a familial component. Treatment of the cysts is required only when there are visual symptoms. We demonstrate successful long term treatment using Nd: YAG laser. There is a link between iris flocculi and a variant of ACTA2 and/or the smooth muscle ( MYH11 ) genes. Patients with iris flocculi should have careful cardiac assessment looking for aortic anomalies as well as gene sequencing. Family members should be made aware and investigated.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.316
Teacher spread0.303 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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