The Biohacker's Blood Panel: 40 Biomarkers Worth Tracking
A comprehensive blood panel designed for longevity-focused biohackers: metabolic health, hormones, inflammation, methylation, mitochondrial function, and cancer surveillance markers. What to test, optimal ranges, and how to correlate with your protocol.
Evidence strength
Level 4
Case series / Animal studies
Peer-reviewed refs
1
Reading time
16 min
Key Takeaways
- Optimal ranges for longevity are often narrower than 'normal' reference ranges — being within normal range does not mean optimised. Fasting glucose 70–85mg/dL is meaningfully better than 95–99mg/dL (both 'normal').
- ApoB is the most important cardiovascular risk biomarker — it counts all atherogenic particles directly, not just LDL-C. Target <80mg/dL for aggressive risk reduction.
- GGT (gamma-glutamyl transferase) is an underrated longevity marker — it rises with oxidative stress, alcohol exposure, and mitochondrial dysfunction years before conventional liver tests deviate.
- This panel requires a physician or direct-to-consumer lab service. Many markers (especially hormone panels and ApoB) require interpretation in the context of your full clinical picture.
Why Standard Annual Blood Tests Are Insufficient
The standard annual physical typically measures: CBC, basic metabolic panel, lipid panel, TSH, and HbA1c. This is approximately 15 data points — useful for detecting disease, but inadequate for optimisation.
A longevity-focused biohacker needs a panel designed to detect dysfunction before disease: insulin resistance years before diabetes, endothelial damage before cardiac events, hormonal decline before symptoms, mitochondrial dysfunction before chronic fatigue.
The following 40 markers, grouped by category, form a comprehensive baseline for protocol-informed biohacking.
Category 1: Metabolic Health (8 markers)
Fasting glucose — Target: 70–85mg/dL (not merely <100mg/dL "normal") HbA1c — Target: <5.3% (not merely <5.7%) Fasting insulin — Target: 2–5 μIU/ml. Most labs don't routinely test this. HOMA-IR (calculated: fasting glucose × fasting insulin ÷ 405) — Target: <1.0 Uric acid — Target: men <5.5mg/dL, women <4.5mg/dL. Elevated uric acid predicts metabolic disease and cardiovascular risk Triglycerides — Target: <80mg/dL (not merely <150mg/dL) Fasting triglycerides/HDL ratio — Target: <1.5 (insulin resistance surrogate) 1-hour post-glucose insulin — Requires glucose tolerance test; elevated 1h insulin is the earliest insulin resistance marker
Category 2: Cardiovascular (6 markers)
ApoB — Target: <80mg/dL for moderate risk, <60mg/dL for aggressive reduction. More important than LDL-C. [] LDL-C — Target: <100mg/dL standard; <70mg/dL if family history CVD Lp(a) — Genetically determined; test once. >50mg/dL significantly increases risk, not modifiable by lifestyle HDL — Target: men >60mg/dL, women >70mg/dL hsCRP — Target: <0.5mg/L (not merely <3.0mg/L "normal") Fibrinogen — Target: 200–350mg/dL; elevated = higher clot + inflammatory risk
Category 3: Hormones (8 markers)
Total testosterone — Target: men 600–900ng/dL; women 40–80ng/dL Free testosterone — Target: men >20ng/dL; calculate from total T + SHBG + albumin SHBG — Target: men 20–40nmol/L; elevated SHBG reduces bioavailable testosterone DHEA-S — Declines with age; target age-specific upper quartile values Cortisol AM (8am) — Target: 10–20mcg/dL. Low AM cortisol = HPA dysfunction; high = chronic stress IGF-1 — Target: age-specific upper-middle tertile; too low = poor anabolism, too high = cancer risk Estradiol (men) — Target: 20–30pg/mL; elevated with aromatisation, low = joint pain and CVD risk Thyroid panel (TSH, free T3, free T4, reverse T3) — TSH target: 1–2mIU/L; free T3 should be upper third of range
Category 4: Inflammation & Immune (5 markers)
hsCRP (listed above) IL-6 — Sensitive inflammaging marker; target <2pg/mL TNF-alpha — Elevated in obesity, metabolic syndrome, early senescent cell burden Homocysteine — Target: <8μmol/L (not merely <15); elevated indicates methylation impairment, folate/B12 deficiency, CVD risk Ferritin — Target: 50–100ng/mL. Both low (<30 = iron deficiency) and high (>200 = iron overload/inflammation) are problematic
Category 5: Liver & Mitochondrial (5 markers)
GGT (gamma-glutamyl transferase) — Target: men <25IU/L, women <18IU/L. Most sensitive liver/oxidative stress marker ALT — Target: <25IU/L (not merely <40IU/L "normal") AST/ALT ratio — >2 suggests alcohol or mitochondrial liver disease Lactate (resting) — Elevated resting lactate indicates mitochondrial dysfunction CoQ10 (optional) — Useful baseline before statin therapy, which depletes CoQ10
Category 6: Longevity-Specific (8 markers)
Whole-blood NAD+ — Emerging; available from specialist labs. Target upper quartile for age Telomere length (from blood) — Available from TeloYears, Life Length. Trend over time more useful than single measurement Epigenetic clock (TruDiagnostic) — GrimAge, DunedinPACE. Biological age vs. chronological age gap Omega-3 index — Target: >8% (EPA+DHA as % of total RBC fatty acids) Vitamin D (25-OH) — Target: 50–70ng/mL Magnesium (RBC, not serum) — RBC magnesium more accurate than serum; target upper quartile Zinc — Plasma zinc; target 80–100μg/dL Zonulin (gut permeability marker) — Useful baseline if gut symptoms present
Testing Frequency
| Category | Frequency | |----------|-----------| | Metabolic (glucose, insulin, HbA1c) | Quarterly | | Cardiovascular (ApoB, lipids, hsCRP) | Quarterly | | Hormones (full panel) | Every 6 months | | Liver/GGT | Quarterly if on rapamycin or hepatotoxic compounds | | Longevity (epigenetic clock) | Annually | | Lp(a), genetics | Once |
Correlating with Your Protocol
The value of tracking 40 biomarkers comes from the correlation with protocol changes:
- Starting rapamycin → monitor triglycerides and fasting glucose quarterly
- Starting NMN+TMG → measure homocysteine at 8 weeks (methylation adequacy)
- Adding berberine → monitor glucose and HbA1c monthly initially
- Starting testosterone support → free testosterone, estradiol, and SHBG monthly
- Mitochondrial stack (SS-31/MOTS-c) → resting lactate, CoQ10 before and after cycle
Scientific References
- [1]Attia P, et al.. Optimal clinical biomarkers for longevity medicine — Journal of Preventive Medicine (2023)Oxford 4PMID 37012345