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Bioinformation Informs the Allostasiome: Translational Environmental Restoration (TER) for the Climate Crisis Medical Emergency.
Bioinformation 2018
Health care is optimized when the best evidence base (BEB) is translated into policies whose effectiveness can be verified. Bioinformation disseminates BEB and is critical to translational health care. The survival of all prokaryotes and eukaryotes, including mammals, and ultimately our species, depends upon their ability to adapt to changes in their micro-environmental milieu and to the challenges of their surrounding macro-environment. Disturbances in the organism's macro-environment, such as the stressful stimuli derived from environmental changes akin to the current climate crisis, alter its physiological, cytological, biological, epigenetic and molecular microenvironment, and trigger concerted allostatic responses to regain homeostasis. Individual patient data analysis advocates the allostasiome as the specific pattern of biological events and pathways each individual organism undergoes to regain a balanced state of homeostasis following macro-environmental insults. Translational Environmental Restoration (TER) is the translation of BEB in climate change research into effective and efficacious policies for restorative renewal of our macro-environment. Patient-centered translational health care in the current climate crisis depends upon defining and characterizing the allostasiome as a complex systemic process intertwined with TER. Bioinformation is timely and critical to climate crisis research in general and to TER specifically, because it informs and disseminates the best available evidence for each subject's allostasiome. Concerted research must define and characterize BEB of the multi-dimensional medical emergency produced by the current climate crisis. Novel lines of investigation, including allostasione research, increasingly depend on bioinformation for dissemination, and are foundational for TER, one plausible solution to this complex health care crisis.
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