Abstract

This work provides a conceptually rich framework bridging biophysics, molecular biology, medicine, and chronobiology. We propose that hydrogen-bond (H-bond) dynamics and water-mediated vibrational processes constitute a unifying thermodynamic basis for biological coherence. H-bonds act as transient energy buffers that preserve signal fidelity under physiological stress, while hydration dynamics regulate biochemical timing across scales from femtosecond molecular vibrations to macroscale circadian rhythms. This mechanism is particularly evident in signaltransducing biomolecular assemblies, where H-bonds function as entropy-driven thermal buffers. Under supra-threshold electrical surges or monotonic mechanical strain, these bonds undergo sacrificial dissociation to dissipate excess kinetic energy, with subsequent re-hybridization restoring circuit continuity on a millisecond timescale. Furthermore, H-bond-driven anisotropic realignment of conductive elements facilitates molecular recognition and supports coherence across biological scales. At the intracellular level, structured aqueous networks function as highly organized transducers of environmental stimuli. Synchronized vibrational states within these networks allow for the reception of exogenous electromagnetic fields, translating them into the energetic instructions that drive biological function. From this perspective, life is reframed as coherent information in motion, whereas disease is characterized by the distortion of energetic and informational flow. Within this framework, NF- κB functions as a time-integrating decoder of energetic and calcium-dependent signals, translating vibrational and metabolic states into adaptive gene-regulatory programs as the NF-κb oscillations synchronize to external perturbations and transcription. Dysregulation of these temporally coordinated processes is implicated in the pathogenesis of neurodegenerative and autoimmune disorders, where the loss of signaling fidelity impairs energy homeostasis and drives progressive tissue damage. Understanding cellular systems as products of temporal fidelity and energy-coupled information flow establishes a novel paradigm for regeneration, pathology, and bioengineering. By leveraging these thermodynamic principles, future therapeutics and computational strategies may pivot toward restoring coherent dynamic organization, rather than exclusively targeting static molecular components. This approach extends beyond the scope of contemporary personalized medicine by facilitating the development of innovative interventions that surpass current strategies, which primarily rely on genomic insights and CRISPR-based gene editing to target specific mutations. Consequently, this model provides a transdisciplinary framework for researchers and clinicians seeking to integrate biophysical principles into clinical practice. Furthermore, it incorporates recent scientific advances aimed at overcoming the burden of disease and alleviating human suffering. Comprehensive Summary: The Core Argument: This work proposes temporal coherence — the cross-scale synchronization of molecular and vibrational dynamics — as a defining hallmark of living systems. At sub-picosecond timescales, structured aqueous networks and hydrogen-bonded architectures function as quantum thermal buffers and proton-transfer pathways. By regulating transient energy fluctuations and preserving signaling fidelity, these molecular processes establish the effective ‘clock speed’ that coordinates cellular information processing, metabolism, and adaptive biological responses A New Definition of Disease: We propose that health is maintained by the phase-alignment between ultra-fast molecular vibrations and macroscale rhythms, such as calcium oscillations and circadian clocks. Disease is redefined as informational desynchronization or “noise,” where these scales lose their phase relationship. This disruption of signaling fidelity erodes the temporal precision required for coupling intracellular signaling to mitochondrial bioenergetics, ultimately driving systemic energy homeostasis failure in chronic inflammation and neurodegeneration. The Future of Precision Medicine: Modern medicine largely targets the repair or replacement of damaged molecular components, treating disease as a static failure of individual parts. In contrast, our framework views pathology as a breakdown in the dynamic rhythmic coordination that governs biological systems. By employing advanced diagnostic tools—such as terahertz spectroscopy—to probe collective water–protein dynamics, it becomes possible to monitor the temporal organization of intracellular signaling. Such insights could enable the development of ‘vibrational therapeutics’ designed to restore coherent information and energy flow across molecular networks. Beyond disease treatment, this paradigm may inform new strategies in regenerative medicine and inspire the design of synthetic bio-computational hardware that emulates the rhythmic signaling architecture of living systems.
Keywords: Information, signaling, dynamics, temporal, biological, hydrogen

References

1. Zhang, R., et al. (2025) “Decoding frequency‑modulated signals increases information entropy in bacterial second messenger networks”. Phys. 21, 1728–1740.
2. Chen Q, Xu Y, et al; (2025). “Decoding Molecular Network Dynamics in Cells: Advances in Multiplexed Live Imaging of Fluorescent Biosensors”. Biosensors, 15(9), pp614.
3. Son M, Wang A.G, Keisham B. et al.(2023) “Processing stimulus dynamics by the NF-κB network in single cells”. Exp Mol Med 55, 2531–2540.
4. Makadia HK, Schwaber JS, Vadigepalli R. et al; (2015) “Intracellular Information Processing through Encoding and Decoding of Dynamic Signaling Features”. PLoS Comput Biol. Oct 22;11(10): pp1004563.
5. Navarro Quiroz R, Villarreal Camacho J, et al. (2025) “Multiscale information processing in the immune system”. Front Immunol. Jul 21; 16:1563992.
6. Kato, Takuya and Kobayashi, Tetsuya J. et al; (2021) “Understanding adaptive immune system as reinforcement learning”. In Phys. Rev. Res.J. 3, issue 1, pages 013222.
7. Zhu Z, Chen K, Lin W. et al. (2025) “Recent advances in spike-based neural coding for tactile perception”. Microsyst Nanoeng11, pp212.
8. Wikipedia Publisher, (2026) “The Free Encyclopedia”. Date of last revision: 1 November 2025.
9. Zheng Y, Huang R, & Pan J. et al; (2025). “Dynamic Intercellular Networks in the CNS: Mechanisms of Crosstalk from Homeostasis to Neurodegeneration”. International Journal of Molecular Sciences, 26(17), pp8155.
10. Nentwich, et al; (2025) “Intrinsic dynamic shapes responses to external stimulation in the human brain”. vol. 14, eLife14:RP104996.

11. Rohan N.R, Vigneswaran C, Ghosh S. et al.(2025) “Deep oscillatory neural network”. Sci Rep 15, pp40968.
12. He S, Xiao J, Peng Y. et al.(2026) “Discrete memristive spiking neural networks: investigating information flow, synchronization, and emergent intelligence”. Cogn Neurodyn 20, 12.
13. Pfeuty B. et al: (2024) “Free-energy transduction mechanisms shape the flux space of metabolic networks”. Biophys J. Oct 15;123(20): pp3600-3611.
14. Leyma P. De Haro.et al: (2025) “Using Embodied Artificial Intelligence Agents to Automate Biorisk Management Tasks in High-Containment Laboratories”. In Applied Biosafety 30, No. 4.
15. Ilan Y. et al: (2025) “The Constrained Disorder Principle: A Paradigm Shift for Accurate Interactome Mapping and Information Analysis in Complex Biological Systems”. Bioengineering (Basel). Nov 16;12(11): pp1255.
16. Baiesi M, Nishiyama T. & Falasco G. et al; (2024) “Effective estimation of entropy production with lacking data”. Commun Phys7, pp264.
17. Cossetto T, Rodenfels J, Sartori P. et al: (2025) “Thermodynamic dissipation constrains metabolic versatility of unicellular growth”. Nat Commun. Sep 29;16(1): pp8543.
18. Estela Suarez , et al; (2025). “High-Energy and Astro particle Physics”. Vol. 13.
19. Massimo Bilancioni, (2025) “Massimiliano Esposito”. J. Chem. Phys. 163, pp044106
20. Mahdavi SD, Salmon GL, et al. (2024) “Flexibility and sensitivity in gene regulation out of equilibrium”. Proc Natl Acad. Sci U S A. Nov 12;121(46): e2411395121.
21. Wang X, Xie C, et al; (2025) “Quantification and potential functional relevance of binding cooperativity of adjacent transcription factors on DNA”. Proc Natl Acad Sci U S A. May 6;122(18): e2422555122.
22. Shivang Hina-Nilesh Joshi, et al. (2024) “Accelerating Genetic Sensor Development, Scale-up, and Deployment Using Synthetic Biology”, Bio Design Research, Vol. 6, 0037
23. Tsujimura M, Saito K, Ishikita H. et al: (2023) “Stretching vibrational frequencies and PK_adifferences in H-bond networks of protein environments”. Biophys J. Nov 21;122(22): pp4336-4347.
24. Sauer MA, Mondal S et al; (2025) “High-Throughput Computation of Anharmonic Low-Frequency Protein Vibrations”. J Phys Chem B. Oct 16;129(41): pp10739-10751.
25. Taskiran, H, et al. (2025) “Mitochondrial calcium shapes B cell signaling and mitochondrial function. Immunol. 16, pp1710128.
26. Mannella, C. A., Swietach, P. & Boyman, L. et al: (2025) “Calcium regulation of mitochondrial metabolism. Comprehensive review of intramitochondrial Ca²⁺ regulation of ATP production, its transport mechanisms (e.g., MCU), and metabolic consequences. Calcium Regulation of Mitochondrial Metabolism”. Rev. Physiol. 86, pp1–24)
27. Reddan, B. & Cummins, E. P et al: (2025) “Regulation of cell metabolism by hypoxia and hypercapnia”. Biol. Chem. 300, pp108252.
28. Wang X, He J, et al; (2025) “Overcoming resistance to PD-1 and CTLA-4 blockade mechanisms and therapeutic strategies”. Front Immunol. Oct 3; 16:1688699.
29. Weindel, C. G., Coleman, et al. (2025) “LRRK2 kinase activity restricts NRF2‑dependent mitochondrial protection in microglia”. Immunol. 210, vkaf215.
30. Anand S, Balgote PJ, Sivaraman J. et al: (2025) “Exploring the connection between the Mitochondrial DNA and the Circadian Rhythm: Insights into Mitochondrial Biogenesis and its Dynamics”. Mol Biol Rep. Sep 30;52(1): pp971.
31. Qiu YR, Peng W, et al; (2025) “Frontier interfacial water characterization and applications”. Natl Sci Rev. Jul 23;12(11).
32. Prasoon A, Ghouse S, Nguyen N.N et al. (2024) “Mimicking on-water surface synthesis through micellar interfaces”. Nat Commun 15, pp10495.
33. Tatiana Feofilaktova et al. (2025) “Calcium signaling in postsynaptic mitochondria: mechanisms, dynamics, and role in ATP production”. In Front. Mol. Neurosci. 20 July. Sec.
34. Voorsluijs V, Avanzini F, et al; (2024) “Calcium oscillations optimize the energetic efficiency of mitochondrial metabolism”. iScience. Feb 1;27(3): pp109078.
35. Ferreira J, Belliveau H, et al; (2025) “Updating the Mechanism of Bicarbonate (HCO₃^-) Activation of Soluble Adenylyl Cyclase (sAC)”. Int J Mol Sci. Jul 3;26(13): pp6401.
36. Manlio De Domenico. Et al: (2026) “Decoding the architecture of living systems”.  Prog. Phys.89 014601
37. Wibisana JN, Okada M. et al: (2022) “Encoding and decoding NF-κB nuclear dynamics. Curr Opin Cell Biol”. Aug; 77: pp102103.
38. Niazi, S. K. et al: (2025). “Protein Catalysis Through Structural Dynamics: A Comprehensive Analysis of Energy Conversion in Enzymatic Systems and Its Computational Limitations”. Pharmaceuticals, 18(7), pp951.
39. Chalopin Y, Buckle M. (2026) “Thermal Fluctuations Expose Hidden Mechanical Couplings in Proteins”. Biophys J. Jan 13: S0006-3495(26)00006-8.
40. Mostajabi Sarhangi, et al. (2023) “Electron Tunneling in Biology: When Does it Matter?” ACS Omega Journal. Vol.8, 30}, pages 27355-27365.

41. Cossetto T, Rodenfels J, Sartori P. (2025) “Thermodynamic dissipation constrains metabolic versatility of unicellular growth”. Nat Commun. Sep 29;16(1): pp8543.

42. Kevser Kübra Kırboğa, Ecir Uğur Küçüksille, et al: (2026) “Energy-driven innovations in computational de novo protein engineering”. Progress in Biophysics and Molecular Biology,
43. 199, pp176-196.

43. Mahdavi S. D, Salmon G. L, et al; (2024) “Flexibility and sensitivity in gene regulation out of equilibrium”. Natl Acad. Sci. USA 121, e2411395121.
44. Wang X, Xie C, et al; (2025) “Quantification and potential functional relevance of binding cooperative of adjacent transcription factors on DNA”. Proc Natl Acad Sci U S A. May 6;122(18): e2422555122.
45. Daniel Carlson, River Leversee et al. “New Perspectives on Vibrational Energy Transfer in Energetic Materials: Insights from Pressure-Tuned Ultrafast Spectroscopy”. The Journal of Physical Chemistry AnArticle ASAP.
46. Wu MS, Du XC, Zhou ZR et al. (2025) “Chemically gated artificial nanochannels for programmable subcellular signal modulated transport regulation”. Nat Commun. Dec 12;16(1):11423.
47. Yuika Ueda, Shinji Deguchi, (2025) “Adaptive flexibility of cells through nonequilibrium entropy production”, Bio Systems, Vol. 257, 105594.
48. Kuo-Yang Chiang et al. (2025) “Experimental quantification of nuclear quantum effects on the hydrogen bond of liquid water”. Adv.11, eadv7218.
49. Waluk J. et al; (2024) “Nuclear Quantum Effects on Proton or Hydrogen Transfer”. J Phys Chem Lett. Jan 18;15(2): pp598-607.
50. Grigorean V. T, Tataru C.-I. et al. (2026). “The Protonic Brain: Nanoscale pH Dynamics, Proton Wires, and Acid–Base Information Coding in Neural Tissue”. International Journal of Molecular Sciences, 27(2), 560.
51. Rahbari A, Chakrapani TH, et al. (2025) “Molecular Simulation of Hydrogen Systems: From Properties and Methods to Applications and Future Directions”. Chem Rev. Dec 24;125(24): pp11878-12029.
52. Gourisankar S, Krokhotin A, et al; (2024) “Context-specific functions of chromatin remodellers in development and disease”. Nat Rev Genet. May;25(5): pp340-361.
53. Corps Angel L. et al. (2023) “Relaxation time as a control parameter for exploring dynamical phase diagrams”. Rev. B. Vol.108},17. pages 174305.

54. Zilong Wang, Yuhao Wang, Francesco Ciucci. Et al: (2026) “Distribution of relaxation times: Foundations, methods, diagnostics, and prognosis for electrochemical systems”. Current Opinion in Electrochemistry, Vol. 55, pp101789.
55. Álvaro Darriba, et al; (2025) “ERP prediction error responses under temporal constraints” Brain Research, Vol. 1865, pp149867.
56. Azarias F. R, et al; (2025). “The Journey of the Default Mode Network: Development, Function, and Impact on Mental Health”. Biology, 14(4), pp395.
57. Joakim Vianney N T, Paul Didier K K, et al. (2026) “Experimental electronic modeling of focal and progressive brain lesion processes using a network of single-transistor chaotic oscillators”. In Phys. Rev. Research8, 013098.
58. Yanliang Guo et al. (2025) “Observation of many-body dynamical localization”. Science389,716-719.
59. Lai HY, Wang HQ, Lai JC, Li CH et al: (2019) “A Self-Healing and Shape Memory Polymer that Functions at Body Temperature”. Molecules. Sep 4;24(18): pp3224.
60. Sharma S. K, Gajević S. et al. (2026). “Self-Healing Polymer Nanocomposites: Mechanisms, Structure–Property Relationships, and Emerging Applications”. Polymers, 18(2), pp276.
61. Zhang R, Gao Y, Choi S. et al: (2025) “Self-Healing Electrogenic Living Hydrogels for Durable Bioelectronics”. ACS Appl Mater Interfaces. Dec 24;17(51): pp70071-70083.
62. Hu W, Wang C, Fei F, et al; (2025). “Self-healing epoxidized natural rubber flexible sensors based on hydrogen bonding interactions”. Journal of Materials Chemistry C, 13, 1824.
63. Jiahui Zhong, Xinxin Tian, et al. (2024) “Bio-inspired self-healing polyurethane system: Mimicking connective tissue with hydrogen-bonding mechanism”. Chemical Engineering Journal, Vol. 498, pp155416.
64. Gang Zhang, et al. (2024) “Higher-order elastic topological insulators with reconfigurable route and tunable corner states”. International Journal of Mechanical Sciences, Vol. 264, pp08820.
65. Wong K.C, Peng R, Anderson E. et al.(2026) “Super-moiré spin textures in twisted two-dimensional antiferromagnets”.  Nanotechnology.
66. Eremchev M, Roesel D, et al; (2023) “Passive transport of Ca²⁺ions through lipid bilayers imaged by widefield second harmonic microscopy”. Biophys J. Feb 21;122(4): pp624-631.
67. Voorsluijs V, Avanzini F et al: (2024) “Calcium oscillations optimize the energetic efficiency of mitochondrial metabolism”. iScience. Feb 1;27(3):109078.
68. Acin-Perez R, Benincá C, et al. (2023) “Inhibition of ATP synthase reverse activity restores energy homeostasis in mitochondrial pathologies”. EMBO J. May 15;42(10): e111699.
69. Zhao Z, Geng Z. et al.(2025) “Advances in mitochondria–nucleus crosstalk in septic cardiomyopathy”. Cell Biol Toxicol 41, 136.
70. Russ L., Dhar D, Backer R. et al.(2025) “Direct detection of an NH-π hydrogen bond in an intrinsically disordered peptide”. Nat Commun 16, pp10231.
71. Astola T, Perkins GA, et al. (2024) “Administration of Bicarbonate Protects Mitochondria, Rescues Retinal Ganglion Cells, and Ameliorates Visual Dysfunction Caused by Oxidative Stress”. Antioxidants (Basel). Jun 19;13(6: pp743.

72. Smeal, S.W., Mokashi, C.S., Kim, A.H. et al.(2025) “Time-varying stimuli that prolong IKK activation promotes nuclear remodeling and mechanistic switching of NF-κB dynamics”. Nat Commun 16, 7329.
73. Hoffmann, A., Cheng, G. & Baltimore, D. et al; (2025) “NF-κB: master regulator of cellular responses in health and disease”0.  Inflamm.1, 2.
74. Pantu C, Breazu A, et al; (2026). “AI-Resolved Protein Energy Landscapes, Electrodynamics, and Fluidic Microcircuits as a Unified Framework for Predicting Neurodegeneration”. International Journal of Molecular Sciences, 27(2), pp676.
75. Zoller B, Tkačik G. & Bialek, W. et al: (2025) “Non-equilibrium models of transcriptional regulation maximize information transmission under energetic constraints”. Phys. 21, pp312–320.
76. Pourmajidian M, Hansen JY, et al; (2026) “Five energy metabolism pathways show distinct regional distributions and lifespan trajectories in the human brain”. PLoS Biol. Jan 30;24(1): ppe3003619.
77. Adams E. M, et al; (2025). “Nonlinear terahertz response of hydration water in crowded protein environments”. Journal of Physical Chemistry Letters, 16(4), pp1021–1029.
78. Simone Pezzotti, Wanlin Chen, et al: (2025) “Terahertz calorimetry spotlights the role of water in biological processes”, Nature Reviews Chemistry 9, pp481–494.
79. Zhou J, Wu L, et al. (2025) “State- and time-resolved observation of ultrafast intermolecular proton transfer in hydrated biomolecules”. Nat Commun. Jul 1;16(1): pp5838.
80. Grigorian V. T, Tataru et al. (2026). “The Protonic Brain: Nanoscale pH Dynamics, Proton Wires, and Acid–Base Information Coding in Neural Tissue”. International Journal of Molecular Sciences, 27(2), pp560.
81. Daniel Carlson, River Leversee, et al. “New Perspectives on Vibrational Energy Transfer in Energetic Materials: Insights from Pressure-Tuned Ultrafast Spectroscopy”. The Journal of Physical Chemistry A.Article ASAP.
82. Martel J, Rouleau N, et al. (2025) “Effects of light, electromagnetic fields and water on biological rhythms”. Biomed J. Jun;48(3): pp100824.
83. Zhao X, Ding W, et al; (2026) “Modulation of confined water dynamics in ion channels by terahertz electric fields”. Nanoscale Adv. Feb 2;8(5): pp1512-1521.
84. Pezzotti S, Chen W, et al. (2025) “Terahertz calorimetry spotlights the role of water in biological processes”. Nat Rev Chem. Jul;9(7):481-494.
85. Ametaj, B. N. et al: (2026). “The Keto–Inflammatory Network: From Systems Biology to Biological Code”. Dairy, 7(1), 19.
86. Bach DH, Nguyen TL. Et al: (2026) “Alzheimer's disease as a systems-level timing disorder: Circadian disruption of glial immunometabolism, brain clearance, and therapeutic responsiveness”. Neurobiol Sleep Circadian Rhythms. Jan 29; 20: pp100145.
87. Sung Hoon Lee, et al; (2026) “The hierarchical timescale hypothesis: Functional and structural convergence of biological networks and artificial neural nets” Cell Systems, Vol. 17, Issue 2 , 101507.
88. Lang X, Shi L, Zhao Z, et al. (2024) “Probing the structure of water in individual living cells”. Nat Commun; 15: pp5271.
89. Chen MW, Guo X, et al. “Condenzymes: Biomolecular condensates with inherent catalytic activities”. bioRxiv [Preprint].
90. Giovannetti G, Ryabchuk S, Bin Wahid A. et al.(2026) “Real-time tracking of the intramolecular vibrational dynamics of liquid water”. Commun Chem 9, 57.
91. Baltatu OC, Campos LA, Cipolla-Neto J. et al; (2025) “Circadian system coordination: new perspectives beyond classical models”. Front Physiol. Mar 12; 16:1553736.
92. Mannella CA, Swietach P, Boyman L. et al; (2025) “Calcium Regulation of Mitochondrial Metabolism”. Annu Rev Physiol. Nov 10.
93. Zhang Y, Ma P, Wang S, et al. (2025) “Restoring calcium crosstalk between ER and mitochondria promotes stem cell rejuvenation”. Nat Commun; 16: pp4909.
94. Liu C, Liu X, et al. (2025) “Circadian rhythm related genes identified through tumorigenesis and immune infiltration-guided strategies as predictors of prognosis, immunotherapy response, and candidate drugs in skin cutaneous malignant melanoma”. Front Immunol. Mar 21; 16: pp1513750.
95. Chikane, Vishal. Et al: (2026), “Chrono pharmacology: Integration of circadian biology in modern pharmacotherapy”. In International Journal of Biosciences (IJB). pages 56.
96. Murlidhar Madhukar, Sandip Das, et al. (2025) “Chrono-Pharmacology for Cancer: Harnessing Circadian Regulations of the Cell Cycle and Immune Response Dynamics for Precision Therapy”. ACS Pharmacology & Translational Science8 (11), pp3821-3834.