Dynamic Real-Time Biosensing Enabled Biorhythm Tracking for Psychiatric Disorders.

Karin Huizer, Ivneet Kaur Banga, Ruchita Mahesh Kumar, Sriram Muthukumar, Shalini Prasad
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Abstract

This review article explores the transformative potential of dynamic, real-time biosensing in biorhythm tracking for psychiatric disorders. Psychiatric diseases, characterized by a complex, heterogeneous, and multifactorial pathophysiology, pose challenges in both diagnosis and treatment. Common denominators in the pathophysiology of psychiatric diseases include disruptions in the stress response, sleep-wake cycle, energy metabolism, and immune response: all of these are characterized by a strong biorhythmic regulation (e.g., circadian), leading to dynamic changes in the levels of biomarkers involved. Technological and practical limitations have hindered the analysis of such dynamic processes to date. The integration of biosensors marks a paradigm shift in psychiatric research. These advanced technologies enable multiplex, non-invasive, and near-continuous analysis of biorhythmic biomarkers in real time, overcoming the constraints of conventional approaches. Focusing on the regulation of the stress response, sleep/wake cycle, energy metabolism, and immune response, biosensing allows for a deeper understanding of the heterogeneous and multifactorial pathophysiology of psychiatric diseases. The potential applications of nanobiosensing in biorhythm tracking, however, extend beyond observation. Continuous monitoring of biomarkers can provide a foundation for personalized medicine in Psychiatry, and allow for the transition from syndromal diagnostic entities to pathophysiology-based psychiatric diagnoses. This evolution promises enhanced disease tracking, early relapse prediction, and tailored disease management and treatment strategies. As non-invasive biosensing continues to advance, its integration into biorhythm tracking holds promise not only to unravel the intricate etiology of psychiatric disorders but also for ushering in a new era of precision medicine, ultimately improving the outcomes and quality of life for individuals grappling with these challenging conditions.

精神疾病的动态实时生物传感生物节律跟踪。
这篇综述文章探讨了动态、实时生物传感在精神疾病生物节律跟踪中的变革潜力。精神疾病具有复杂、异质性和多因素的病理生理特点,在诊断和治疗方面都具有挑战性。精神疾病病理生理学的共同特征包括应激反应、睡眠-觉醒周期、能量代谢和免疫反应的中断:所有这些都以强烈的生物节律调节(例如昼夜节律)为特征,导致相关生物标志物水平的动态变化。迄今为止,技术和实际的限制阻碍了对这种动态过程的分析。生物传感器的集成标志着精神病学研究范式的转变。这些先进的技术克服了传统方法的局限性,实现了对生物节律生物标志物的多重、无创和近连续的实时分析。生物传感关注应激反应、睡眠/觉醒周期、能量代谢和免疫反应的调节,使我们能够更深入地了解精神疾病的异质性和多因素病理生理学。然而,纳米生物传感在生物节律跟踪方面的潜在应用已经超出了观测范围。生物标志物的持续监测可以为精神病学的个性化医疗提供基础,并允许从综合征诊断实体到基于病理生理学的精神病学诊断的转变。这种进化有望增强疾病追踪、早期复发预测以及量身定制的疾病管理和治疗策略。随着非侵入性生物传感技术的不断发展,它与生物节律追踪的结合不仅有望解开精神疾病复杂的病因,而且有望开创精准医疗的新时代,最终改善与这些具有挑战性的疾病作斗争的个人的结果和生活质量。
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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CiteScore
17.60
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