Biomarker Database

Understand the signals before you chase the numbers.

A growing reference for labs and wearable metrics: what they mean, where they are useful, and why trends matter more than isolated readings.

Cardiometabolic risk

ApoB

ApoB approximates the number of atherogenic lipoprotein particles that can enter artery walls.
  • LDL particle burden
  • ASCVD risk context
  • Nutrition and medication response

Glucose regulation

HbA1c

HbA1c reflects average blood glucose exposure over roughly two to three months.
  • Insulin resistance context
  • Diabetes risk
  • Lifestyle response

Cardiometabolic risk

LDL-C

LDL-C estimates the cholesterol carried by low-density lipoprotein particles, a central marker in cardiovascular risk assessment.
  • Atherosclerotic risk
  • Lipid response
  • Medication context

Cardiometabolic risk

HDL-C

HDL-C estimates cholesterol carried by high-density lipoproteins, but higher is not automatically protective in every context.
  • Lipid pattern
  • Metabolic health context
  • Exercise and lifestyle response

Metabolic health

Triglycerides

Triglycerides reflect circulating blood fats and can signal insulin resistance, dietary patterns, alcohol exposure, and cardiovascular risk context.
  • Insulin resistance context
  • Lipid pattern
  • Nutrition response

Glucose regulation

Fasting glucose

Fasting glucose shows blood sugar after an overnight fast and is a core screening signal for prediabetes, diabetes, and metabolic drift.
  • Glucose baseline
  • Prediabetes screening
  • Lifestyle response

Glucose regulation

Fasting insulin

Fasting insulin can add early context about insulin resistance before glucose markers become clearly abnormal.
  • Insulin resistance context
  • Metabolic compensation
  • Nutrition response

Inflammation

hs-CRP

High-sensitivity CRP can indicate systemic inflammation when interpreted with clinical context.
  • Inflammatory burden
  • Recovery strain
  • Cardiometabolic context

Cardiorespiratory fitness

VO2 max

VO2 max estimates the body's capacity to use oxygen during intense exercise.
  • Aerobic capacity
  • Training adaptation
  • Functional reserve

Autonomic balance

HRV

Heart-rate variability can help track recovery and autonomic strain, especially as a personal trend.
  • Sleep recovery
  • Stress response
  • Training readiness

Biomarkers in context

The flagship guide explains how biomarkers fit alongside exercise, sleep, nutrition, and disease prevention.

Read the guide