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Makin RD, Argyle D, Hirahara S, Nagasaka Y, Zhang M, Yan Z, Kerur N, Ambati J, Gelfand BD. Voluntary Exercise Suppresses Choroidal Neovascularization in Mice. Invest Ophthalmol Vis Sci 2020; 61:52. [PMID: 32460310 PMCID: PMC7405794 DOI: 10.1167/iovs.61.5.52] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Accepted: 04/16/2020] [Indexed: 11/28/2022] Open
Abstract
Purpose To determine the effect of voluntary exercise on choroidal neovascularization (CNV) in mice. Methods Age-matched wild-type C57BL/6J mice were housed in cages equipped with or without running wheels. After four weeks of voluntary running or sedentariness, mice were subjected to laser injury to induce CNV. After surgical recovery, mice were placed back in cages with or without exercise wheels for seven days. CNV lesion volumes were measured by confocal microscopy. The effect of wheel running only in the seven days after injury was also evaluated. Macrophage abundance and cytokine expression were quantified. Results In the first study, exercise-trained mice exhibited a 45% reduction in CNV volume compared to sedentary mice. In the replication study, a 32% reduction in CNV volume in exercise-trained mice was observed (P = 0.029). Combining these two studies, voluntary exercise was found to reduce CNV by 41% (P = 0.0005). Exercise-trained male and female mice had similar CNV volumes (P = 0.99). The daily running distance did not correlate with CNV lesion size. Exercise only after the laser injury without a preconditioning period did not reduce CNV size (P = 0.41). CNV lesions of exercise-trained mice also exhibited significantly lower F4/80+ macrophage staining and Vegfa and Ccl2 mRNA expression. Conclusions These findings provide the first experimental evidence that voluntary exercise improves CNV outcomes. These studies indicate that exercise before laser treatment is required to improve CNV outcomes.
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Affiliation(s)
- Ryan D. Makin
- Center for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Department of Ophthalmology, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Molecular and Cellular Basis of Disease Graduate Program, University of Virginia School of Medicine, Charlottesville, Virginia, United States
| | - Dionne Argyle
- Center for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Department of Ophthalmology, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Molecular and Cellular Basis of Disease Graduate Program, University of Virginia School of Medicine, Charlottesville, Virginia, United States
| | - Shuichiro Hirahara
- Center for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Department of Ophthalmology, University of Virginia School of Medicine, Charlottesville, Virginia, United States
| | - Yosuke Nagasaka
- Center for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Department of Ophthalmology, University of Virginia School of Medicine, Charlottesville, Virginia, United States
| | - Mei Zhang
- Center for Skeletal Muscle Research at the Robert M. Berne Cardiovascular Research Center, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, United States
| | - Zhen Yan
- Center for Skeletal Muscle Research at the Robert M. Berne Cardiovascular Research Center, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Molecular Physiology and Biological Physics, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Department of Pharmacology, University of Virginia School of Medicine, Charlottesville, Virginia, United States
| | - Nagaraj Kerur
- Center for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Department of Ophthalmology, University of Virginia School of Medicine, Charlottesville, Virginia, United States
| | - Jayakrishna Ambati
- Center for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Department of Ophthalmology, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Department of Pathology, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia School of Medicine, Charlottesville, Virginia, United States
| | - Bradley D. Gelfand
- Center for Advanced Vision Science, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Department of Ophthalmology, University of Virginia School of Medicine, Charlottesville, Virginia, United States
- Department of Biomedical Engineering, University of Virginia, Charlottesville, United States
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Choi M, Kim SW, Yun C, Oh J. OCT Angiography Features of Neovascularization as Predictive Factors for Frequent Recurrence in Age-Related Macular Degeneration. Am J Ophthalmol 2020; 213:109-119. [PMID: 31954711 DOI: 10.1016/j.ajo.2020.01.012] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 01/07/2020] [Accepted: 01/08/2020] [Indexed: 12/28/2022]
Abstract
PURPOSE To investigate the features of neovascularization (NV) in eyes with neovascular age-related macular degeneration using optical coherence tomography angiography (OCTA) according to the treatment interval of intravitreal aflibercept injection (IVI). DESIGN Retrospective, interventional, comparative case series. METHODS Patients with type 1 NV treated with the "pro re nata" regimen after 3 loading IVI were classified into 2 groups based on the numbers of treatments during 12 months, specifically a stable group who required fewer than 2 injections and an unstable group who required more than 3 injections. Quantitative features of OCTA including NV area, NV length, NV density, endpoint density (open-ended vessels per unit length), junction density (vessel junction per unit length), lacunarity, and largest vessel caliber were compared between the 2 groups. RESULTS Among 71 eyes, 38 and 33 eyes were classified into the stable and unstable groups, respectively. The unstable group had higher endpoint densities (stable vs unstable: 2.72 vs 3.18; P = .03) and higher levels of lacunarity (0.177 vs 0.211; P = .028). The area, density, length of NV, junction density, and largest vessel caliber were not different between the 2 groups (P = .057, P = .184, P = .062, P = .160, and P = .473, respectively). Endpoint density was correlated with the unstable group in both univariate and multivariate analyses (P = .004, P = .002, respectively). A predictive model with an endpoint index demonstrated a sensitivity of 93.75% and a negative predictive value of 89.47% for the unstable group. CONCLUSIONS The characteristics of NV in eyes of exudative age-related macular degeneration with type 1 NV were different according to treatment requirements. Identifying the features of NV on OCTA might be helpful for predicting clinical outcomes and optimal treatment intervals.
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