ArticleClinical & experimental ophthalmology2016
Distinct iris gene expression profiles of primary angle closure glaucoma and primary open angle glaucoma and their interaction with ocular biometric parameters.
Article in Clinical & experimental ophthalmology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Comparative Evaluation of Functional Aqueous Humor Outflow in Primary Open Angle Glaucoma Versus Primary Angle Closure Glaucoma Using Aqueous Angiography.Journal of glaucoma · 2026Article
- Differences in the amplitude of dynamic low-frequency fluctuations in primary angle-closure glaucoma are associated with gene-molecular multi-omics.Frontiers in medicine · 2025Article
- Associations of static and dynamic iris parameters in healthy Chinese individuals: the Handan Eye Study.Eye (London, England) · 2024Article
- Interplay Between Ocular Ischemia and Glaucoma: An Update.International journal of molecular sciences · 2024Review
- The Mirror Theory: Parallels between Open Angle and Angle Closure Glaucoma.Life (Basel, Switzerland) · 2024Review
- Assessment of iris volume in glaucoma patients with type 2 diabetes mellitus by AS-OCT.International journal of ophthalmology · 2023Article
- Effect of valproic acid on functional bleb morphology in a rabbit model of minimally invasive surgery.The British journal of ophthalmology · 2022Article
- Application of advanced magnetic resonance imaging in glaucoma: a narrative review.Quantitative imaging in medicine and surgery · 2022Review
- Changes in Iris Stiffness and Permeability in Primary Angle Closure Glaucoma.Investigative ophthalmology & visual science · 2021Article
- Altered Iris Aquaporin Expression and Aqueous Humor Osmolality in Glaucoma.Investigative ophthalmology & visual science · 2021Article
- Updates on Genes and Genetic Mechanisms Implicated in Primary Angle-Closure Glaucoma.The application of clinical genetics · 2021Review
- Correlation of iris collagen andIndian journal of ophthalmology · 2019Article
- Cholinergic nervous system and glaucoma: From basic science to clinical applications.Progress in retinal and eye research · 2019Review
- Distinct iris gene expression profiles of primary angle closure glaucoma and primary open angle glaucoma and their interaction with ocular biometric parameters.Clinical & experimental ophthalmology · 2016Article
- Microsurgical scleral drainage and trabeculectomy-scleral flap adjustable suture combination technique in the treatment of primary glaucoma.Pakistan journal of medical sciencesArticle
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to evaluate differences in iris gene expression profiles between primary angle closure glaucoma (PACG) and primary open angle glaucoma (POAG) and their interaction with biometric characteristics.
designProspective study.
participantsThirty-five subjects with PACG and thirty-three subjects with POAG who required trabeculectomy were enrolled at the Singapore National Eye Centre, Singapore.
methodsIris specimens, obtained by iridectomy, were analysed by real-time polymerase chain reaction for expression of type I collagen, vascular endothelial growth factor (VEGF)-A, -B and -C, as well as VEGF receptors (VEGFRs) 1 and 2. Anterior segment optical coherence tomography (ASOCT) imaging for biometric parameters, including anterior chamber depth (ACD), anterior chamber volume (ACV) and lens vault (LV), was also performed pre-operatively.
main outcome measuresRelative mRNA levels between PACG and POAG irises, biometric measurements, discriminant analyses using genes and biometric parameters.
resultsCOL1A1, VEGFB, VEGFC and VEGFR2 mRNA expression was higher in PACG compared to POAG irises. LV, ACD and ACV were significantly different between the two subgroups. Discriminant analyses based on gene expression, biometric parameters or a combination of both gene expression and biometrics (LV and ACV), correctly classified 94.1%, 85.3% and 94.1% of the original PACG and POAG cases, respectively. The discriminant function combining genes and biometrics demonstrated the highest accuracy in cross-validated classification of the two glaucoma subtypes.
conclusionsDistinct iris gene expression supports the pathophysiological differences that exist between PACG and POAG. Biometric parameters can combine with iris gene expression to more accurately define PACG from POAG.
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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.