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  1. 481

    In the absence of Sonic hedgehog, p53 induces apoptosis and inhibits retinal cell proliferation, cell-cycle exit and differentiation in zebrafish. by Sergey V Prykhozhij

    Published 2010-10-01
    “…<h4>Methodology/principal findings</h4>Analysis of the zebrafish shh(-/-) mutant revealed that in this context p53 mediates elevated apoptosis during nervous system and retina development and interferes with retinal proliferation and differentiation. …”
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  2. 482

    The Determination of Type 2 Diabetes Mellitus’s Impact on the Density of Retinal Blood Vessels and the Choriocapillaris: Optical Coherence Tomography Angiography Study by Marko Zlatanović, Jasmina Đorđević Jocić, Vesna Jakšić, Nevena Zlatanović, Mlađan Golubović, Maja Živković

    Published 2021-01-01
    “…Optical coherence tomography angiography (OCTA) was used to analyze the alterations in the density of retinal blood vessels and the choriocapillaris (VD) in patients suffering from type 2 diabetes mellitus (T2DM). …”
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  3. 483

    Molecular Mechanisms of Epithelial–Mesenchymal Transition in Retinal Pigment Epithelial Cells: Implications for Age-Related Macular Degeneration (AMD) Progression by Na Wang, Yaqi Wang, Lei Zhang, Wenjing Yang, Songbo Fu

    Published 2025-05-01
    “…At the core of AMD pathophysiology lies the retinal pigment epithelium (RPE), whose epithelial–mesenchymal transition (EMT) has emerged as a critical pathological mechanism driving disease progression. …”
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  4. 484

    Vogt-Koyanagi-Harada disease in a patient with retinitis pigmentosa in one eye and pigmented paravenous retinochoroidal atrophy in the other eye by Junya Sato, Kouhei Hashizume, Yasuhiro Nishida, Shigenori Miyoshi, Mana Nagasawa, Daijiro Kurosaka

    Published 2025-06-01
    “…Purpose: To report a case of Vogt-Koyanagi-Harada (VKH) disease in a patient with retinitis pigmentosa (RP) in the right eye and pigmented paravenous retinochoroidal atrophy (PPRCA) in the left eye. …”
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  5. 485

    Evaluating the impact of anti-CGRP monoclonal antibodies on retinal features in migraine patients: a retrospective optical coherence tomography study by Massimo Cesareo, Alessio Martucci, Roberta Bovenzi, Marco Lombardo, Francesca Pistoia, Vittoria Carla D’Agostino, Alessandro Stefani, Carlo Nucci, Nicola Biagio Mercuri, Maria Albanese

    Published 2025-06-01
    “…Results: All migraineurs exhibited a significant reduction in disease disability at T1, as assessed by clinical parameters. OCT data analysis revealed that individuals with migraine showed a significant increase in temporal retinal nerve fiber layer (RNFL) thickness and a reduction in nasal RNFL thickness compared to HCs. …”
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  6. 486

    Retinal structure and related factors in 8-year-old Japanese children: The Yamanashi adjunct study of the Japan Environment and Children's Study. by Ryo Harada, Mingxue Bao, Natsuki Okabe, Yuka Kasai, Airi Takahashi, Chio Kuleshov, Yumi Shigemoto, Tadao Ooka, Hiroshi Yokomichi, Kunio Miyake, Reiji Kojima, Ryoji Shinohara, Hideki Yui, Sanae Otawa, Anna Kobayashi, Megumi Kushima, Zentaro Yamagata, Kenji Kashiwagi, Yamanashi Adjunct Study of the Japan Environment and Children’s Study Group

    Published 2025-01-01
    “…The mean choroidal thickness was 301.5 ± 34.0µm. Multivariable analysis revealed that the thickness of ARLs had a significant negative correlation with AL (β=-0.20, p < 0.001) and a significant positive correlation with body height (β=0.11, p = 0.04), with males having a greater retinal thickness than females (β=-0.22, p < 0.001). …”
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  7. 487

    Retinal vessel density from optical coherence tomography angiography to differentiate early glaucoma, pre-perimetric glaucoma and normal eyes. by Handan Akil, Alex S Huang, Brian A Francis, Sirinivas R Sadda, Vikas Chopra

    Published 2017-01-01
    “…Multiple linear regression analysis of POAG group showed that optic nerve head vessel density in POAG group was more strongly linked to RNFL thickness than to any other variables.…”
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  8. 488

    B-Scan and “En-Face” Spectral-Domain Optical Coherence Tomography Imaging for the Diagnosis and Followup of Acute Retinal Pigment Epitheliitis by Flore De Bats, Benjamin Wolff, Martine Mauget-Faÿsse, Claire Scemama, Laurent Kodjikian

    Published 2013-01-01
    “…To report B-scan and “En-face” spectral-domain optical coherence tomography (SD-OCT) findings in acute retinal pigment epitheliitis (ARPE). Methods. Two patients (3 eyes) with ARPE were examined. …”
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  9. 489
  10. 490

    Integration of multi-omics data reveals dysregulated RNA methylation in retinal pigment epithelium drives age-related macular degeneration by Ya-Jun Gong, Zhi-Lin Zou, Kai-Rui Qiu, Qiang Wang, Xiao-Lai Zhou

    Published 2025-09-01
    “…AIM: To investigate the role of RNA methylation in retinal pigment epithelial (RPE) cells in age-related macular degeneration (AMD). …”
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  11. 491

    Influence of Aflibercept on Choroidal Blood Flow and Thickness in Branch Retinal Vein Occlusion: A Six-Month Follow-Up Study by Ryuya Hashimoto, Kenichiro Aso, Keisuke Yata, Kazufumi Tanaka, Naoki Fujioka, Ryo Yamazaki, Serika Moriyama, Juri Kawamura, Asato Hirota, Takatoshi Maeno

    Published 2024-11-01
    “…Background/Objectives: We intended to investigate choroidal blood flow (CBF) and choroidal thickness (CT) alternations in treatment-naive eyes with non-ischemic branch retinal vein occlusion (BRVO) following intravitreal aflibercept injection (IVA). …”
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  12. 492

    Towards Automated Eye Diagnosis: An Improved Retinal Vessel Segmentation Framework Using Ensemble Block Matching 3D Filter by Khuram Naveed, Faizan Daud, Hussain Ahmad Madni, Mohammad A.U. Khan, Tariq M. Khan, Syed Saud Naqvi

    Published 2021-01-01
    “…Testing was carried out on three publicly available databases namely Structured Analysis of the Retina (STARE), Digital Retinal Images for Vessel Extraction (DRIVE) and CHASE_DB1. …”
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  13. 493

    The potential of artificial intelligence reading label system on the training of ophthalmologists in retinal diseases, a multicenter bimodal multi-disease study by Meng Wang, Xiao Zhang, Donghui Li, Qijie Wei, Jianchun Zhao, Xiang Gao, Tianhui Shan, Hao Feng, Guolong Ding, Chan Li, Binghui Wu, Xirong Li, Chan Wu, Weihong Yu

    Published 2025-04-01
    “…Results The study involved 7777 pairs of OCT and CFP images, cases labeled with nine prevalent retinal diseases including diabetic retinopathy (DR, 2118 cases), retinal detachment (RD, 121 cases), retinal vein occlusion (RVO, 886 cases), dry age-related macular degeneration (dAMD, 549 cases), wet age-related macular degeneration (wAMD, 1023 cases), epiretinal membrane (ERM, 1061 cases), central serous retinopathy (CSC, 150 cases), macular schisis (MS, 128 cases), macular hole (MH, 86 cases) and normal fundus (1036 cases) were selected for further analysis. …”
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  14. 494

    Application of optical coherence tomography angiography to study retinal and choroidal vascular changes in patients with first-time coronary artery stenosis by Rongrong Guan, Shuyan Qin, Yezhu Chi, Zhen Tang, Haiyang Liu

    Published 2025-02-01
    “…Objective: To study the changes in retinal and choroidal vessels in patients with coronary artery stenosis via optical coherence tomography angiography (OCTA). …”
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  15. 495

    Dysregulation of Retinal Melatonin Biosynthetic Pathway and Differential Expression of Retina-Specific Genes Following Blast-Induced Ocular Injury in Ferrets by Chetan Pundkar, Rex Jeya Rajkumar Samdavid Thanapaul, Manoj Govindarajulu, Gaurav Phuyal, Joseph B. Long, Peethambaran Arun

    Published 2025-03-01
    “…Ferrets were exposed to tightly coupled blast overpressure waves using an advanced blast simulator, and retinal tissues were collected for quantitative polymerase chain reaction (qPCR) analysis. …”
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  16. 496

    cGAMP promotes inner blood-retinal barrier breakdown through P2RX7-mediated transportation into microglia by Xiangyu Ge, Xingfei Zhu, Wei Liu, Mingsen Li, Zhaotian Zhang, Ming Zou, Mi Deng, Haifeng Cui, Ziqing Chen, Li Wang, Xuebin Hu, Rong Ju, Xiangcheng Tang, Xiaoyan Ding, Lili Gong

    Published 2025-03-01
    “…Histological, molecular, bioinformatic and behavioral analysis accessed effects of cGAMP on iBRB. Single-cell RNA sequencing identified the primary retinal cell type responsive to cGAMP. …”
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  17. 497

    Comparing the Doppler flow parameters of orbital vessels among healthy nonsmokers, diabetic nonsmokers, and diabetic smokers visiting a tertiary health-care center by Babu Mahesh, Nidhi Manjegowda

    Published 2024-12-01
    “…RESULTS: Significant differences were observed in the mean RI values of the ophthalmic artery, central retinal artery (CRA), and central retinal vein (CRV) in all three groups bilaterally (P < 0.001). …”
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  18. 498

    Standardized conversion model for retinal thickness measurements between spectral-domain and swept-source optical coherence tomography based on machine learning by Zhongping Tian, Yinning Guo, Xi Chen, Qifeng Zhou, Yuan Liu, Zhizhu Yi, Li Zhang, Li Zhang

    Published 2025-07-01
    “…PurposeTo conduct a systematic comparative analysis of macular retinal thickness, retinal nerve fiber layer (RNFL) thickness, and ganglion cell-inner plexiform layer (GCIPL) thickness measurements between spectral-domain optical coherence tomography (SD-OCT) and swept-source OCT (SS-OCT) in healthy individuals, while establishing standardized cross-platform conversion algorithms through machine learning methodologies.MethodsIn this cross-sectional investigation, 48 healthy adults (96 eyes) underwent macular retinal thickness assessment (ETDRS grid sectors), RNFL analysis (quadrant sectors), and GCIPL evaluation (six-sector annular divisions) using both SD-OCT (Cirrus HD-OCT 5000) and SS-OCT (Triton DRI-OCT). …”
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  19. 499
  20. 500

    Subretinal microglia support donor photoreceptor survival in rd1 mice by Qinjia Ren, Fang Lu, Ruwa Hao, Yingying Chen, Chen Liang

    Published 2024-11-01
    “…While donor cells failed to survive in rd1 mice after microglia depletion, they could survive following microglia repopulation. The RNA-seq analysis showed a pro-neurodevelopmental effect of sub-retinal microglia/RPE tissue in rd1 mice. …”
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