CLINICAL CASE STUDIES
Interpreting Epigenetic Biomarkers in Patients
Real-world examples of how TruAge™ and TruHealth™ results translate patients’ epigenetic patterns into clinical action.

CLINICAL CASE 01
When Standard Labs Miss Disease
A fit, symptom-free 46-year-old man wanted to optimize his health. His routine labs looked reassuring. But the epigenetic biomarkers in his TruAge and TruHealth results revealed a hidden atherogenic pattern.
Follow-up testing that he'd never have done otherwise confirmed dyslipidemia, and a CT angiogram showed coronary plaque.
Standard screening missed these subtle shifts in the patient’s biology. Epigenetics detected cardiovascular disease years before symptoms would have been felt.
Follow-up testing that he'd never have done otherwise confirmed dyslipidemia, and a CT angiogram showed coronary plaque.
Standard screening missed these subtle shifts in the patient’s biology. Epigenetics detected cardiovascular disease years before symptoms would have been felt.
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CLINICAL CASE 02
When Habits Quietly Add Up
A 39-year-old woman identifies as "busy but healthy" – two kids, jogging 2–3x/week, and a low-calorie, high-protein diet.
Her TruAge and TruHealth results detected elevated biomarkers: alcohol exposure, triglycerides, and phenylacetylglutamine (PAG), pointing to early cardiometabolic and gut-health risk.
Standard intake would have missed these nuances. Epigenetics caught the modifiable risk before it became a diagnosis – prompting repeat labs, a renal function check, and targeted diet and alcohol changes she started before her next visit.
Her TruAge and TruHealth results detected elevated biomarkers: alcohol exposure, triglycerides, and phenylacetylglutamine (PAG), pointing to early cardiometabolic and gut-health risk.
Standard intake would have missed these nuances. Epigenetics caught the modifiable risk before it became a diagnosis – prompting repeat labs, a renal function check, and targeted diet and alcohol changes she started before her next visit.
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INTERPRETIVE FRAMEWORK
4-Step Approach to Interpreting Epigenetic Reports
Applicable across TruAge and TruHealth reports for any patient profile