system age contribution model v2

thesis -> mechanism -> lever -> one step

• thesis: for high-stress achievers, the age model must stop underweighting endocrine / recovery strain and vascular mechanics.
• mechanism: keep the v1 system scaffold, but rebalance weights and explicitly separate blood age, vascular mechanics, and visible-aging companion signals.
• lever: this makes the top-100 rerun answer the real question: what loop is aging fastest, and what do we re-measure next?
• one step: use these weights as the default evaluation target during the v2 rerun and confirm them on the next board.

1) recommended model stack v2

1. global anchor:
   - blood-based global age delta
2. system decomposition:
   - cardio-vascular age
   - glyco-metabolic age
   - inflammation / immune age
   - endocrine / recovery age
   - renal age
   - liver-metabolic age
   - body-composition / fitness age
3. companion surfaces:
   - vascular mechanics companion
   - visible-aging companion (skin, hair)

2) default weights v2

overall_age_delta_years = sum(w_system * age_delta_system)

default weights:
- cardio-vascular: 0.22
- glyco-metabolic: 0.18
- inflammation / immune: 0.12
- endocrine / recovery: 0.18
- renal: 0.10
- liver-metabolic: 0.08
- body-composition / fitness: 0.12

sum: 1.00

main shift vs v1:
- endocrine / recovery moves from 0.08 to 0.18.

3) mapping by system

cardio-vascular age

• core blood:
• apoB, Lp(a), LDL-C, HDL-C, TG, apoA1, NMR-LDL-P, small_dense_LDL
• core physiology:
• blood pressure
• companion mechanics:
• PWV
• gated adjuncts:
• plaque-first carotid ultrasound
• CAC

glyco-metabolic age

• fasting_glucose
• fasting_insulin
• hba1c
• fasting_c_peptide
• gated:
• OGTT + insulin curve

inflammation / immune age

• hs_crp
• glyca
• fibrinogen
• CBC differential context

endocrine / recovery age

• thyroid:
• TSH, free_T4, free_T3
• androgen / gonadal:
• total_testosterone, SHBG, free_testosterone_calc, estradiol, LH, FSH
• cohort overlays:
• male: DHT
• female: progesterone, AMH
• adrenal / HPA / SNS:
• cortisol_am
• cortisol_pm
• spot_urinary_cortisol_creatinine as default integrated cortisol read
• urinary metanephrines
• DHEA-S
• prolactin
• IGF-1

renal age

• creatinine
• cystatin_c
• urine_albumin
• urine_creatinine
• uacr
• urine damage flags

liver-metabolic age

• ALT, AST, ALP, GGT, bilirubin
• gated:
• FIB-4

body-composition / fitness age

• body composition
• waist
• BMI
• resting heart rate
• VO2max

4) companion layers

vascular mechanics companion

• PWV is the default vascular-elasticity signal.
• FMD remains gated until local reproducibility is proven.

visible-aging companion

• skin mapping
• dermoscopy
• face skin imaging
• hair/scalp diagnostics

rule:
- visible-aging companion signals can influence protocol prioritization and engagement, but they do not enter overall_age_delta until calibration rules are explicit.

5) critical uncertainty rules

• no single-marker hard conclusions.
• high-noise markers cannot dominate a system score before confirmation.
• pre-analytic flags down-weight contribution.
• dynamic endocrine / HPA reads outrank single snapshot hormone reads when they disagree.
• 24h_urinary_free_cortisol can be used as a fallback / confirmatory study, but not as the routine default longitudinal HPA measure.
• vascular age cannot be called "closed" without either mechanics (PWV) or structural adjunct (carotid/CAC) context.

6) what this model is / is not

• is:
• a longitudinal prioritization engine for high-stress users.
• a target architecture for the next top-100 rerun.
• is not:
• a diagnostic classifier.
• a justification to blur biomarkers, derivations, and phenotyping modules into one count.

7) open lock points

1. whether visible-aging companion gets its own score or stays outside overall age.
2. whether glyca supplements or partly replaces hs_crp.
3. whether OGTT + insulin curve should move closer to default in this cohort.
4. whether CAR belongs in the main endocrine / recovery model or in a parallel regulation layer.