Thermodynamic Biomarkers of Neuroinflammation: Nanothermometry, Energy–Stress Dynamics, and Predictive Entropy in Glial–Vascular Networks

作者：Valentin Titus Grigorean, Adrian Dumitru, Cătălina-Ioana Tătaru, Matei Șerban, Alexandru Vlad Ciurea, Octavian Munteanu, Mugurel Petrinel Rădoi, Răzvan-Adrian Covache-Busuioc, Ariana-Stefana Cosac, George Pariza · 发表于：International Journal of Molecular Sciences · 年份：2025 · DOI：10.3390/ijms262211022 · 被引用次数：5 · 研究领域：Advanced Thermodynamics and Statistical Mechanics、Thermal Regulation in Medicine、Photoreceptor and optogenetics research

Homeostasis, which supports and maintains brain function, results from the continuous regulation of thermodynamics within tissue: the balance of heat production, redox oscillations, and vascular convection regulates coherent energy flow within the organ. Neuroinflammation disturbs this balance, creating measurable entropy gradients that precede structural damage to its tissue components. This paper proposes that a thermodynamic unity can be devised that incorporates nanoscale physics, energetic neurophysiology, and systems neuroscience, and can be used to understand and treat neuroinflammatory processes. Using multifactorial modalities such as quantum thermometry, nanoscale calorimetry, and redox oscillometry we define how local entropy production (st), relaxation time (τR), and coherence lengths (λc) allow quantification of the progressive loss of energetic symmetry within neural tissues. It is these variables that provide the basis for the etiology of thermodynamic biomarkers which on a molecular-redox-to-network scale characterize the transitions governing the onset of the neuroinflammatory process as well as the recovery potential of the organism. The entropic probing of systems (PEP) further allows the translation of these parameters into dynamic patient-specific trajectories that model the behavior of individuals by predicting recurrent bouts of instability through the application of machine learning algorithms to the vectors of entropy flux. The parallel development of...