Nanoparticles-based technologies for cholera detection and therapy

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS SLAS Technology Pub Date : 2023-12-01 DOI:10.1016/j.slast.2023.10.006
Nathan Ho , Kaitlyn Tang , Vy Ngo , Isabella Livits , Alayne Morrel , Bari Noor , Kaylee Tseng , Eun Ji Chung
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引用次数: 0

Abstract

Cholera is a waterborne disease caused by Vibrio cholerae bacteria generally transmitted through contaminated food or water sources. Although it has been eradicated in most Western countries, cholera continues to be a highly transmitted and lethal disease in several African and Southeast Asian countries. Unfortunately, current diagnostic methods for cholera have challenges including high cost or delayed diagnoses that can lead to increased disease transmission during pandemics, while current treatments such as therapeutic drugs and vaccines have limited efficacy against drug-resistant serogroups of Vibrio cholerae. As such, new solutions that can treat cholera in an efficient manner that avoids Vibrio cholerae’s adaptive immunity are needed. Nanoparticles (NPs) are a suitable platform for enhancing current theranostic tools because of their biocompatibility and ability to improve drug circulation and targeting. Nanoparticle surfaces can also be modified with various protein receptors targeting cholera toxins produced by Vibrio cholerae. This review will address recent developments in diagnostics, therapeutics, and prevention against cholera particularly focusing on the use of metal-based nanoparticles and organic nanoparticles. We will then discuss future directions regarding nanoparticle research for cholera.

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基于纳米粒子的霍乱检测和治疗技术。
霍乱是一种由霍乱弧菌引起的水传播疾病,通常通过受污染的食物或水源传播。尽管霍乱在大多数西方国家已经被根除,但在一些非洲和东南亚国家,霍乱仍然是一种高度传播和致命的疾病。不幸的是,目前的霍乱诊断方法面临挑战,包括高成本或延迟诊断,这可能导致流行病期间疾病传播增加,而目前的治疗方法,如治疗药物和疫苗,对霍乱弧菌的耐药血清群的疗效有限。因此,需要新的解决方案,以有效的方式治疗霍乱,避免霍乱弧菌的适应性免疫。纳米颗粒(NP)由于其生物相容性和改善药物循环和靶向性的能力,是增强当前治疗工具的合适平台。纳米粒子表面还可以用靶向霍乱弧菌产生的霍乱毒素的各种蛋白质受体修饰。这篇综述将介绍霍乱诊断、治疗和预防方面的最新进展,特别是金属基纳米颗粒和有机纳米颗粒的使用。然后,我们将讨论霍乱纳米颗粒研究的未来方向。
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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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