基于下一代crispr的即时诊断的最新发展和未来方向。

IF 3.2 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Youssef M Hassan, Ahmed S Mohamed, Yaser M Hassan, Wael M El-Sayed
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引用次数: 0

摘要

对敏感、快速和负担得起的诊断技术的需求激增,特别是在COVID-19大流行之后,推动了基于crispr的诊断工具的开发,这些诊断工具利用Cas效应蛋白(如Cas9、Cas12和Cas13)作为传统核酸检测方法的可行替代方案。这些CRISPR系统通常与生物传感和扩增技术相结合,提供精确、快速和便携的诊断,使现场检测不需要广泛的基础设施,特别是在服务不足或农村地区。相比之下,传统的诊断方法虽然仍然必不可少,但往往受到昂贵设备和熟练操作人员的限制,限制了其可及性。因此,为家庭、现场和实验室诊断开发方便、用户友好的解决方案已成为CRISPR诊断创新的关键焦点。本文综述了基于crispr的诊断方法的现状及其在广泛疾病中的潜在应用,包括癌症(如结直肠癌和乳腺癌)、遗传疾病(如镰状细胞病)和传染病(如结核病、疟疾、寨卡病毒和人乳头瘤病毒)。此外,还讨论了机器学习(ML)和人工智能(AI)的集成,以提高CRISPR诊断的准确性、可扩展性和效率,以及将CRISPR技术纳入护理点设置的挑战。这篇综述还探讨了这些尖端工具在未来彻底改变疾病诊断和个性化治疗方面的潜力,同时确定了解决基于crispr的诊断研究中现有差距所必需的挑战和未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent developments and future directions in point-of-care next-generation CRISPR-based rapid diagnosis.

The demand for sensitive, rapid, and affordable diagnostic techniques has surged, particularly following the COVID-19 pandemic, driving the development of CRISPR-based diagnostic tools that utilize Cas effector proteins (such as Cas9, Cas12, and Cas13) as viable alternatives to traditional nucleic acid-based detection methods. These CRISPR systems, often integrated with biosensing and amplification technologies, provide precise, rapid, and portable diagnostics, making on-site testing without the need for extensive infrastructure feasible, especially in underserved or rural areas. In contrast, traditional diagnostic methods, while still essential, are often limited by the need for costly equipment and skilled operators, restricting their accessibility. As a result, developing accessible, user-friendly solutions for at-home, field, and laboratory diagnostics has become a key focus in CRISPR diagnostic innovations. This review examines the current state of CRISPR-based diagnostics and their potential applications across a wide range of diseases, including cancers (e.g., colorectal and breast cancer), genetic disorders (e.g., sickle cell disease), and infectious diseases (e.g., tuberculosis, malaria, Zika virus, and human papillomavirus). Additionally, the integration of machine learning (ML) and artificial intelligence (AI) to enhance the accuracy, scalability, and efficiency of CRISPR diagnostics is discussed, alongside the challenges of incorporating CRISPR technologies into point-of-care settings. The review also explores the potential for these cutting-edge tools to revolutionize disease diagnosis and personalized treatment in the future, while identifying the challenges and future directions necessary to address existing gaps in CRISPR-based diagnostic research.

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来源期刊
Clinical and Experimental Medicine
Clinical and Experimental Medicine 医学-医学:研究与实验
CiteScore
4.80
自引率
2.20%
发文量
159
审稿时长
2.5 months
期刊介绍: Clinical and Experimental Medicine (CEM) is a multidisciplinary journal that aims to be a forum of scientific excellence and information exchange in relation to the basic and clinical features of the following fields: hematology, onco-hematology, oncology, virology, immunology, and rheumatology. The journal publishes reviews and editorials, experimental and preclinical studies, translational research, prospectively designed clinical trials, and epidemiological studies. Papers containing new clinical or experimental data that are likely to contribute to changes in clinical practice or the way in which a disease is thought about will be given priority due to their immediate importance. Case reports will be accepted on an exceptional basis only, and their submission is discouraged. The major criteria for publication are clarity, scientific soundness, and advances in knowledge. In compliance with the overwhelmingly prevailing request by the international scientific community, and with respect for eco-compatibility issues, CEM is now published exclusively online.
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