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Retinopathy of prematurity: contribution of inflammatory and genetic factors

Title
Retinopathy of prematurity: contribution of inflammatory and genetic factors
Type
Article in International Scientific Journal
Year
2022
Authors
Fevereiro Martins, M
(Author)
Other
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Guimarães H
(Author)
FMUP
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Marques Neves, C
(Author)
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Bicho, M
(Author)
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Journal
ISSN: 0300-8177
Publisher: Springer Nature
Other information
Authenticus ID: P-00W-9FE
Resumo (PT):
Abstract (EN): Retinopathy of prematurity (ROP) is a retinal vasoproliferative disorder that represents an important cause of childhood visual impairment and blindness. Although oxidative stress has long been implicated in ROP etiology, other prenatal and perinatal factors are also involved. This review focuses on current research involving inflammation and genetic factors in the pathogenesis of ROP. Increasing evidence suggests that perinatal inflammation or infection contributes to ROP pathogenesis. Cytokines and chemokines with a fundamental role in inflammatory responses and that significantly contributing to angiogenesis are analyzed. Microglia cells, the retinal-resident macrophages, are crucial for retinal homeostasis, however, under sustained pathological stimuli release exaggerated amounts of inflammatory mediators and can promote pathological neovascularization. Current modulation of angiogenic cytokines, such as treatment with antibodies to vascular endothelial growth factor (anti-VEGF), has shown efficacy in the treatment of ocular neovascularization; however, some patients are refractory to anti-VEGF agents, suggesting that other angiogenic or anti-angiogenic cytokines need to be identified. Much evidence suggests that genetic factors contribute to the phenotypic variability of ROP. Several studies have implicated the involvement of candidate genes from different signaling pathways in the development of ROP. However, a genetic component with a major impact on ROP has not yet been discovered. Most studies have limitations and did not replicate results. Future research involving bioinformatics, genomics, and proteomics may contribute to finding more genes associated with ROP and may allow discovering better solutions in the management and treatment of ROP.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 25
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