CLINICAL CASE 02

The Patient Whose Habits Were Quietly Adding Up

A 39-year-old woman identifies as "busy but healthy" — two kids, jogging 2–3x/week, high-protein diet.

Her TruAge and TruHealth results revealed elevated alcohol exposure, triglycerides, and PAG — early cardiometabolic and gut-health risk hiding under a healthy routine.

Epigenetics caught the risk before it became a diagnosis, prompting repeat labs and targeted changes she started before her next visit.
Jogs 2–3x/week
Processed Protein Sources
1–2 Glasses Wine Nightly
Low Dietary Fiber
High Time Pressure
TRUAGE™ CLOCKS

She was aging slower than her peers.

Biologically younger than most peers and aging slowly. Any out-of-range signals likely reflect areas to optimize — not overhaul.
OMICmAge™ / Biological Age
SYMPHONYAge™ / Systems-level Age
DunedinPACE™ / Pace of Aging
BIOMARKERS

Mostly strong scores — with a few signals worth optimizing.

The standout epigenetic biomarkers clustered around diet quality, the gut microbiome, and alcohol. Phenylacetylglutamine, triglycerides, and an alcohol-exposure signal converged on a cardiometabolic and gut-health story — none alarming alone, but together they pointed to clear, modifiable opportunities.
CLINICAL & PATIENT-INITIATED ACTION

The signals pointed to specific, modifiable changes — several she started herself.

Her clinician recommended targeted follow-up, and she began several lifestyle changes before her next visit.
1

Labs updated

Repeat lipid panel, A1C, CMP and GGT ordered to reassess metabolic status and alcohol contribution.
2

Renal function assessed

Checked because mildly impaired kidneys can elevate PAG clearance.
3

Food sourcing changed

Washing produce thoroughly and prioritizing organic to cut glyphosate exposure.
4

Alcohol trial planned

Considering a 4-week abstinence trial to gauge its effect on triglycerides and PAG.
5

Switched to whole-food protein

Traded processed shakes and bars for whole-food sources, with more dietary fiber.
WHAT IT CHANGED

The Key Clinical Takeaway

Standard serum labs didn’t show the full biological picture. Here, the patient’s epigenetic biomarkers revealed disease risk — and motivated change: the patient self-initiated dietary and lifestyle improvements before her next clinical visit.
INTERPRETIVE FRAMEWORK

4-Step Approach to Interpreting Epigenetic Reports

Applicable across TruAge and TruHealth reports for any patient profile
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Consider Context at Collection
Was the patient's biology in a stable state? Recent infection, surgery, medication changes, or dramatic lifestyle shifts can move epigenetic signals.
Use Biological Ages for Orientation
Aging clocks are headlines — not conclusions. Younger biological age suggests optimization; older suggests more systemic concern. Don't act on clocks alone.
Read for Themes & Patterns
Two or more signals converging on the same pathway = treat as real until proven otherwise. One isolated marker = hypothesis only. Cross-reference TruAge and TruHealth together.
Convert Signals to a Treatment Plan
Verify epigenetic signals against conventional labs and clinical history, introduce targeted interventions, and retest at 3–6 months — watching trajectory over absolute values.