Advancements in diagnostic approaches for Wilson's disease.

IF 2.7 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Jitender Kumar, Indrajit Roy
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引用次数: 0

Abstract

Wilson's disease (WD) is a genetic disorder that results in excessive copper build-up in tissues, causing significant liver and neurological damage. Early and accurate diagnosis is crucial for effective management and treatment. Traditional diagnostic methods, including serum ceruloplasmin and urinary copper level monitoring, liver biopsy and genetic testing, are limited by sensitivity, specificity, invasiveness, and accessibility. Recent advances in diagnostic technologies offer new hope for more accurate, rapid, and non-invasive detection of WD. In this regard, nanotechnology-driven formulations hold significant promise for both the early diagnosis and treatment of WD. Through the innovative use of advanced nanomaterials, researchers are developing more effective therapeutic options and highly sensitive diagnostic tools, potentially transforming the management and prognosis of this genetic disorder. This review provides a comprehensive analysis of recent advancements in WD diagnostics, focusing on research published since 2016. It explores the development and application of novel biomarkers, advanced imaging modalities, innovative biosensors, and emerging nanotechnology-based approaches. By integrating these cutting-edge methodologies, the review highlights their potential to enhance early and accurate detection of WD, addressing current diagnostic challenges and improving clinical outcomes.

威尔森氏病诊断方法的进展。
威尔逊氏病(WD)是一种遗传性疾病,导致组织中铜过量积聚,导致严重的肝脏和神经损伤。早期和准确的诊断对于有效的管理和治疗至关重要。传统的诊断方法,包括血清铜蓝蛋白和尿铜水平监测、肝活检和基因检测,受敏感性、特异性、侵入性和可及性的限制。诊断技术的最新进展为更准确、快速和无创地检测WD提供了新的希望。在这方面,纳米技术驱动的配方对WD的早期诊断和治疗都有很大的希望。通过创新地使用先进的纳米材料,研究人员正在开发更有效的治疗方案和高度敏感的诊断工具,有可能改变这种遗传疾病的管理和预后。本文对WD诊断的最新进展进行了全面分析,重点介绍了自2016年以来发表的研究成果。它探讨了新的生物标志物,先进的成像模式,创新的生物传感器和新兴的基于纳米技术的方法的发展和应用。通过整合这些前沿方法,该综述强调了它们在增强WD早期和准确检测、解决当前诊断挑战和改善临床结果方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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