Dosagiomics (Concentratiomics)
Definition
Dosagiomics is the systematic, omics-scale study of how dosage — the concentration, timing, and duration of exposure to biological molecules, compounds, or signals — governs the full spectrum of biochemical, cellular, and physiological outcomes in living systems. It holds as its central axiom that concentration is the primary determinant of biological effect: the same molecule, pathway, or regulatory signal can produce diametrically opposite outcomes depending solely on its quantitative level within a biological context. Dosagiomics integrates genomics, transcriptomics, proteomics, metabolomics, and epigenomics to construct comprehensive, dose-resolved maps of molecular response landscapes across cells, tissues, organisms, and life stages — including aging.
Core Principle
The foundational postulate of Dosagiomics is: dosage is the universal regulatory variable of life. No biological molecule — whether a hormone, metabolite, transcription factor, reactive oxygen species, nutrient, drug, or signaling ligand — has an intrinsic effect independent of its concentration. Biological systems are therefore best understood not as binary on/off networks, but as continuously dose-modulated regulatory surfaces whose outputs are exquisitely sensitive to quantitative thresholds. This extends the classical Paracelsian principle ("the dose makes the poison") into a full systems-biological framework applicable across all omics layers and all temporal scales of life, from embryogenesis to senescence.
Scope
Dosagiomics encompasses:
- Dose-response omics profiling: genome-wide, proteome-wide, and metabolome-wide characterization of molecular responses across a continuous range of concentrations of endogenous or exogenous agents.
- Threshold and switch-point mapping: identification of critical concentration boundaries at which biological systems transition between qualitatively distinct regulatory states, including hormetic, homeostatic, saturating, and toxic regimes.
- Temporal dosagiomics: analysis of how the timing, pulsatility, and chronological patterning of dose — not merely its magnitude — determines downstream regulatory outcomes.
- Aging dosagiomics: systematic investigation of how age-related alterations in molecular concentrations — of hormones, NAD⁺, sirtuins, mTOR activity, ROS, senescence-associated secretory factors (SASP), and epigenetic regulators — drive the progressive dysregulation characteristic of biological aging and age-related disease.
- Pharmacological and nutraceutical dosagiomics: omics-resolution mapping of dose-dependent efficacy, toxicity, and off-target effects of therapeutic and longevity-oriented compounds, providing a quantitative foundation for precision dosing strategies.
Dosagiomics addresses a fundamental gap in molecular biology and medicine: the tendency to treat biological regulators as qualitatively active or inactive, rather than as quantitatively graded inputs whose concentration determines the identity and magnitude of the biological response. Many failures in drug development, contradictory findings in nutritional science, and paradoxes in aging biology — such as why the same molecule (e.g., mTOR, IGF-1, ROS, DHEA, NMN) can promote health at one concentration and accelerate pathology at another — are resolvable within a dosagiomics framework. By placing dosage at the center of omics analysis, Dosagiomics provides a unifying quantitative theory of life regulation applicable to pharmacology, toxicology, geroscience, systems biology, and precision medicine.
Relationship to Hormesiomics
Dosagiomics subsumes and generalizes Hormesiomics. While Hormesiomics focuses specifically on biphasic dose-response phenomena and adaptive hormetic effects, Dosagiomics addresses the complete dose-response landscape across all possible concentration regimes and all classes of biological regulators — encompassing linear, threshold, biphasic, multiphasic, saturating, and toxic response profiles.
Coined by
Jong Bhak, KOGIC / AgingLab, UNIST, Republic of Korea (2025)
See also
Hormesiomics · Hormesis · Pharmacodynamics · Dose-Response Relationship · GeroIndex · Omics · Toxicogenomics · Aging Hallmarks · Precision Medicine · Systems Biology
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