Personalized approaches for the management of glaucoma

S. Balendra, Piero Zollet, Gloria Cisa Asinari Di Gresy E Casasca, M. Cordeiro
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引用次数: 3

Abstract

ABSTRACT Introduction Personalized medicine is the future goal across all specialties. Accurate prediction of optimal treatment beneficial and adverse effects could transform patient management. This is of particular importance in chronic conditions, where a ‘trial and error’ approach over months and years can contribute to significant morbidity. Glaucoma is a chronic irreversible progressive optic neuropathy, a leading cause of blindness worldwide. An ideal personalized approach in glaucoma clinic would be to answer the inevitable question in a patient’s first visit: ‘Which treatment option will work best for me so that I won’t go blind?’ Areas covered This review will give an overview of the knowledge we have acquired to achieve this goal, particularly discussing using patient’s individual risk factors, their genetic profile, and different treatment modalities, including therapy compliance, to personalize care. Expert opinion Pharmacogenomics and genetic profiling are the most tangible ways in which glaucoma management can be personalized. Future challenges will include developing realistic animal models to reflect the underlying genetic patterns in glaucoma to investigate their interaction with different treatments.
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青光眼治疗的个体化方法
个性化医疗是所有专业未来的目标。准确预测最佳治疗的有益和不良反应可以改变患者的管理。这对慢性疾病尤其重要,在慢性疾病中,数月或数年的“试错”方法可能导致显著的发病率。青光眼是一种慢性不可逆进行性视神经病变,是世界范围内致盲的主要原因。青光眼诊所理想的个性化方法是在患者第一次就诊时回答这个不可避免的问题:“哪种治疗方案最适合我,使我不会失明?”本综述将概述我们为实现这一目标所获得的知识,特别是讨论使用患者的个体风险因素、他们的遗传特征和不同的治疗方式,包括治疗依从性,以实现个性化护理。专家意见药物基因组学和基因图谱是青光眼治疗个性化的最切实可行的方法。未来的挑战将包括开发真实的动物模型来反映青光眼的潜在遗传模式,以研究它们与不同治疗方法的相互作用。
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
9
期刊介绍: Expert Review of Precision Medicine and Drug Development publishes primarily review articles covering the development and clinical application of medicine to be used in a personalized therapy setting; in addition, the journal also publishes original research and commentary-style articles. In an era where medicine is recognizing that a one-size-fits-all approach is not always appropriate, it has become necessary to identify patients responsive to treatments and treat patient populations using a tailored approach. Areas covered include: Development and application of drugs targeted to specific genotypes and populations, as well as advanced diagnostic technologies and significant biomarkers that aid in this. Clinical trials and case studies within personalized therapy and drug development. Screening, prediction and prevention of disease, prediction of adverse events, treatment monitoring, effects of metabolomics and microbiomics on treatment. Secondary population research, genome-wide association studies, disease–gene association studies, personal genome technologies. Ethical and cost–benefit issues, the impact to healthcare and business infrastructure, and regulatory issues.
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