AMCANN, LLLP, Research Division, Murrieta, California, United States.
GSC Biological and Pharmaceutical Sciences, 2026, 36(01), 073–086
Article DOI: 10.30574/gscbps.2026.36.1.0256
Received on 27 May 2026; revised on 01 July 2026; accepted on 03 July 2026
The endocannabinoid system (ECS) is a principal homeostatic regulatory network that coordinates numerous physiological processes, including immune regulation, metabolism, nociception, stress adaptation, gastrointestinal physiology, sleep, and neuroprotection. Although decades of research have established the molecular architecture of the ECS through characterization of cannabinoid receptors, endogenous ligands, and associated enzymatic pathways, comprehensive quantitative characterization of endogenous cannabinoid signaling has remained comparatively underdeveloped. Consequently, endocannabinoid research has focused predominantly on individual molecular components rather than on the integrated physiological behavior of the endogenous regulatory network.
This Perspective proposes quantitative endocannabinoid profiling as a systems-biology framework for investigating the integrated regulation of endogenous physiology. Rather than viewing endogenous cannabinoids solely as isolated biomarkers, the framework conceptualizes coordinated patterns of endocannabinoid signaling as measurable endogenous physiological signatures that reflect systems-level adaptation to biological, environmental, pathological, nutritional, and therapeutic interventions. Within this framework, quantitative profiling complements traditional molecular pharmacology by extending investigation from isolated molecular interactions toward coordinated endogenous physiological responses.
The framework is applied conceptually to natural medicine research, where complex biological interventions frequently influence multiple physiological systems simultaneously. Quantitative endocannabinoid profiling provides a common methodology for investigating how these diverse interventions elicit integrated endogenous physiological signatures within the endocannabinoid regulatory network. The manuscript further presents experimentally testable predictions regarding the explanatory value of multidimensional endocannabinoid profiles, the reproducibility of endogenous physiological signatures, the investigation of biological variability, and the integration of quantitative endocannabinoid profiling with emerging systems biology approaches.
By positioning quantitative endocannabinoid profiling as both an analytical methodology and a systems-biology framework, this Perspective argues that comprehensive characterization of endogenous cannabinoid signaling broadens the scope of physiological and pharmacological investigation beyond isolated molecular mechanisms. As quantitative methodologies continue to advance, systematic investigation of integrated endogenous physiological regulation may provide new opportunities to study biological adaptation and generate experimentally testable hypotheses across diverse domains of biomedical research.
Endocannabinoid system; Quantitative endocannabinoid profiling; Systems biology; Natural medicine; Endogenous physiological regulation; Biomarkers
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David A. Dawson. Quantitative endocannabinoid profiling: A systems biology framework for natural medicine research. GSC Biological and Pharmaceutical Sciences, 2026, 36(01), 073–086. Article DOI: https://doi.org/10.30574/gscbps.2026.36.1.0256.