Key result
Dynamic real-time biosensing enables continuous biorhythm tracking for personalized medicine in psychiatric disorders.
Why the study?
Psychiatric disorders involve dynamic biorhythmic biomarker disruptions, but technological and practical limitations have hindered the real-time analysis of such dynamic processes.
Real-time biosensing of biorhythmic biomarkers offers a promising approach to transition from syndromal to pathophysiology-based psychiatric diagnoses and personalized management.
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.
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Huizer et al. (2024) conducted a review in Psychiatric disorders. Dynamic real-time biosensing was evaluated. Dynamic real-time biosensing enables near-continuous analysis of biorhythmic biomarkers, offering a foundation for personalized medicine and pathophysiology-based diagnoses in psychiatric disorders.
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