Importance of Predictive Biomarkers and Epigenetics in Health: Novel Solutions in Clinical Care

Abstract

Abstract Introduction/Objective Chronic health issues precipitate from a myriad of origins. We underline three common underlying causes: cumulative repair deficits, oxidative damage and metabolic acidosis. A unique set of predictive biomarkers (PBs) addressing these aspects is presented that has been developed on the premise that epigenetics influence 92% and genetics influence the remaining 8% of health. Together with an individualized and personalized treatment plan, this approach has shown to provide best health outcomes. Methods (1) To tailor therapeutic management of chronic conditions, predictive tests that have a variance of 5% or less are used and their “least risk, most gain” goal values are adhered to instead of usual or normal statistical ranges. This helps confirm specific individual need and facilitates effective monitoring of outcome results. Repair deficit is measured by hsCRP, oxidative damage measured by homocysteine, Omega 3 index, and 8OhdG; immune intolerance indicated by lymphocyte response assays and metabolic acidosis indicated by urine pH assessment. (2) Individualized nutrient protocols are formulated based on predictive biomarker results. (3) A metabolically alkalinizing diet is initiated with the goal to providing a buffering effect on cellular chemistry. For example, dietary sugars and refined flours are the single biggest triggers of inflammation driving hyperinsulinemia leading to a biochemical cascade that alters gene expression promoting inflammation. Results This proactive approach is evidence based and has been shown to lower costs while enhancing individual outcomes when compared to current best standards of care, reducing risks, and adding “years to life and life to years.” Conclusion There is a difference between known tests and functional predictive tests—identifies individual epigenetic risks better. Least risk-highest gain goal values are more relevant than normal lab values. Choosing the right kind of high-sensitivity biomarkers and adopting an associated lifestyle plan can improve quality of clinical care.