用于微创诊断的体液:见解、挑战、新兴技术和临床潜力。

IF 9.6 2区 医学 Q1 ENGINEERING, BIOMEDICAL
Lanka Tata Rao, Chandan Kumar Mandal, Fernando Patolsky
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引用次数: 0

摘要

诊断学的最新进展加速了用于持续监测疾病的小型化可穿戴技术的发展。这种模式正在将医疗保健从侵入性的、集中的血液检测转向使用替代体液的分散监测。在这种情况下,汗液、唾液、尿液和间质液(ISF)等生物体液由于其可及性和反映生理状态的潜在能力而成为有希望的候选者。本文综述了非侵入性和微创诊断的最新进展,重点关注汗液和ISF作为潜在的合适生物体液。为了使生物液体获得临床应用,它们必须包含可量化的和疾病特异性的生物标志物水平,并由标准化的收集和分析协议支持。然而,汗液在诊断方面存在固有的局限性,例如内部和人际变异性,生物标志物浓度波动等,因此仅适用于非临床应用。相比之下,ISF是一种强大的类似等离子体的生物流体,可以很容易地通过微创微针平台获得,可能满足临床应用的所有要求。这些正在开发的平台可能通过消除对生物流体提取的需要来推进这一领域,使临床诊断中的连续传感成为可能。这些平台与AI/ ml驱动算法的未来集成可能会带来强大的实时、预测性个性化诊断技术。这些技术创新为下一代诊断和变革性医疗保健解决方案奠定了坚实的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Body Biofluids for Minimally-Invasive Diagnostics: Insights, Challenges, Emerging Technologies, and Clinical Potential.

Recent advances in diagnostics have accelerated the development of miniaturized wearable technologies for the continuous monitoring of diseases. This paradigm is shifting healthcare away from invasive, centralized blood tests toward decentralized monitoring, using alternative body biofluids. Biofluids such as sweat, saliva, urine, and interstitial fluid (ISF) emerged as promising candidates in this context, due to their accessibility and potential ability to reflect physiological states. This review examines recent progress in non- and minimally-invasive diagnostics, with focus on sweat and ISF as potentially suitable biofluids. For biofluids to achieve clinical utility, they must contain quantifiable and disease-specific biomarker levels, supported by standardized collection and analysis protocols. However, sweat presents inherent limitations for diagnostics, such as intra- and interpersonal variability, biomarker concentration fluctuations, etc., and thus only suitable for non-clinical applications. In contrast, ISF, a robust plasma-like biofluid potentially fulfills all requirements posed by clinical applications, being readily accessed by minimally-invasive microneedle-based platforms. These developing platforms may advance this field by eliminating the need for biofluid extraction, enabling continuous sensing in clinical diagnostics. Future integration of these platforms with AI/ML-driven algorithms may lead to powerful technologies for real-time, predictive personalized diagnostics. These technological innovations establish a strong foundation for next-generation diagnostics and transformative healthcare solutions.

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来源期刊
Advanced Healthcare Materials
Advanced Healthcare Materials 工程技术-生物材料
CiteScore
14.40
自引率
3.00%
发文量
600
审稿时长
1.8 months
期刊介绍: Advanced Healthcare Materials, a distinguished member of the esteemed Advanced portfolio, has been dedicated to disseminating cutting-edge research on materials, devices, and technologies for enhancing human well-being for over ten years. As a comprehensive journal, it encompasses a wide range of disciplines such as biomaterials, biointerfaces, nanomedicine and nanotechnology, tissue engineering, and regenerative medicine.
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