NAD precursor detection model
What this model does
This is a coaching and interpretation model for NMN/NR use, not a diagnostic model and not a wearable-only detector.
It helps Vitals decide whether NAD+ precursor use is plausible, whether a user is a reasonable candidate for monotherapy, and whether claimed benefits should be accepted or rejected.
Core boundary: wearables cannot detect NAD+ elevation directly. Blood NAD+ can support exposure, but even blood NAD+ does not prove tissue NAD+ delivery or clinical benefit.
Input requirements
High-value inputs:
- age and goal context
- baseline health status and medications
- supplement log: NMN vs NR, dose, route, timing, brand, third-party testing if available
- baseline and follow-up blood NAD+ if available
- safety labs when clinically appropriate: liver enzymes, triglycerides, homocysteine context
- training load, illness, alcohol, sleep debt, calorie deficit, and medication changes
Optional / weak inputs:
- HRV / RMSSD trend
- resting heart rate trend
- sleep duration and sleep regularity
- CGM context if metabolic goals are present
- subjective energy / fatigue reports
Core decision logic
def nad_precursor_interpretation(client):
"""
Conservative BATCH161-derived logic.
This model rejects stacking claims unless future human co-administration evidence exists.
"""
if client.requesting_nmn_nr_stack:
return {
"recommendation": "do_not_default_to_stack",
"reason": "No published human NMN+NR co-administration RCT exists",
"confidence": "high",
"claim_allowed": "NMN or NR monotherapy can raise blood NAD+; stacking superiority is unproven"
}
if client.goal in ["muscle_gain", "athletic_performance", "vo2max", "longevity_extension"]:
return {
"recommendation": "do_not_position_as_primary_intervention",
"reason": "Blood NAD+ elevation does not prove muscle NAD+ elevation or functional benefit",
"confidence": "moderate_to_high",
"better_anchor": "exercise / training / sleep / nutrition"
}
if client.age >= 50 and client.blood_nad_low:
return {
"recommendation": "consider_single_precursor_trial_with_monitoring",
"reason": "Older adult with low measured NAD+ is the most plausible candidate profile",
"confidence": "moderate",
"stacking": "not_supported"
}
return {
"recommendation": "insufficient_reason_to_recommend",
"reason": "No demonstrated functional benefit in healthy adults",
"confidence": "moderate"
}Features that matter
| Feature | Interpretation value | Notes |
|---|---|---|
| Blood NAD+ baseline and follow-up | Moderate | Best available exposure marker; not tissue or outcome proof. |
| Age / baseline NAD+ status | Moderate | Older, low-NAD+ users are more plausible candidates than young healthy users. |
| Goal context | High | Muscle, longevity, and broad energy claims are where marketing most often exceeds evidence. |
| Dose and route | Moderate | Oral NMN/NR evidence exists; sublingual/liposomal superiority is not established. |
| Product quality | High | Incorrect active ingredient amounts have been documented commercially. |
| HRV / RHR | Low | Useful only as non-specific context, not as NAD+ detection. |
| Sleep / readiness | Low | Confounded by behavior, illness, stress, and training load. |
| CGM metrics | Low-contextual | NAD+ precursors are not established glucose-lowering tools for the general population. |
Features that mislead
- Early subjective energy changes before a stable dosing window.
- Single-day HRV or readiness improvements.
- Blood NAD+ increases treated as proof of skeletal-muscle benefit.
- Claims that NMN+NR is automatically additive because the compounds are different precursors.
- Sublingual or liposomal marketing framed as proven human superiority.
- Improvements during simultaneous changes in exercise, alcohol, sleep, calorie intake, GLP-1 therapy, or stimulant use.
Timing caveats
- Blood NAD+ changes generally require consistent dosing over days to weeks.
- The source document uses roughly 1–2 weeks for NR steady-state and 2–4 weeks for NMN steady-state as practical expectations.
- Wearable changes, if any, should be evaluated only after controlling for training load, sleep, illness, alcohol, medication changes, and calorie balance.
- Long-term interpretation is limited because source-backed safety windows are short: about 12 weeks for NMN and 5 months for NR.
Route / formulation caveats
| Route / formulation | Evidence boundary |
|---|---|
| Oral capsule | Main human evidence base. |
| Sublingual NMN | No peer-reviewed human trial in the source corpus proves superior bioavailability vs oral. |
| Liposomal NAD+ precursors | Mechanistically plausible but not demonstrated in humans in the source corpus. |
| NMN + NR co-administration | No published human RCT; stacking benefit and safety are unknown. |
Confidence levels
| Question | Confidence | Answer |
|---|---|---|
| Can NMN or NR raise blood NAD+? | Moderate–high | Yes, as monotherapy. |
| Can wearables detect NAD+ elevation? | Low | No validated wearable signature. |
| Does blood NAD+ prove skeletal-muscle NAD+? | Low | No; source corpus says this does not reliably translate. |
| Is NMN+NR stacking superior to monotherapy? | Very low | No human co-administration trial. |
| Can Vitals coach against overclaims? | High | Yes: reject additive, muscle, longevity, and disease-modification claims without stronger evidence. |
What this model cannot detect
- Tissue NAD+ elevation in skeletal muscle, brain, or liver.
- Sirtuin activation in a clinically meaningful way.
- Longevity benefit.
- Disease modification.
- Whether NMN+NR is additive or synergistic.
- Whether a commercial product contains the labeled active dose.
Related notes
- NAD Precursor Stacking — evidence boundary and practical protocol
- NAD+ Salvage Pathway — mechanism
- NMN NAD+ — broader precursor monograph
- HRV — non-specific recovery marker
- Cardiovascular signatures — RHR/HRV/BP context
- Glucose Variability Detection Model — metabolic context and CGM limitations