Weight: diet structure >>> cardio
A1c/insulin: adiposity + food quality + activity, currently obscured by iron deficiency
Triglycerides: very responsive to activity/diet
LDL/ApoB: persistent baseline tendency + meaningful diet/activity modulation
Iron: vulnerable when intake falls / endurance rises
Liver: surprisingly responsive even without major weight loss
Number 1 – the body does move. The markers will move if given the right impulses. My body is not broken in any deep way. It definitely responds under the hood to the right pressures.
I think the biggest question has been to craft the RIGHT pressure for MY body.
1. Your weight seems much more diet-responsive than exercise-responsive
food structure → large weight effect
cardio → surprisingly modest weight effect
In your own data, fasting did not compensate for diet quality.
2. Your triglycerides are probably your fastest lifestyle-response biomarker
Look at this sequence:
Your TG appear very responsive to the overall combination of activity, carbohydrate quality, alcohol/food intake and metabolic fitness.
The 2024 marathon period gave you a TG/HDL ratio as low as 1.0. That’s a huge contrast with 3.8 in the bad-diet/IF period.
3. LDL behaves differently—and this is important
Your LDL history is remarkably persistent:
You spent years changing weight, keto, fasting, exercise and diet, and LDL frequently lived around
That suggests there is probably a fairly strong baseline component to your LDL phenotype that lifestyle modifies rather than completely determines. I wouldn’t call that proven genetic hypercholesterolemia from these numbers alone, but it’s unlikely that LDL is simply a reflection of whether you exercised last month.
So I would treat LDL/ApoB as its own project, rather than assuming weight loss or A1c improvement automatically fixes it.
4. Your glucose story is subtler than “you’re getting more diabetic”
fasting glucose has generally been pretty unimpressive
But there’s now a giant confounder: iron deficiency.
5. The iron timeline is probably the most clinically important experiment
6. Your liver may actually be the most encouraging result
Your current AST ALT are excellent liver-enzyme values.
| Thing to do | Why / what your history suggests | Subsystems likely affected |
|---|---|---|
| Maintain a consistent calorie deficit | Diet has moved your weight much more than large increases in cardio. Weight loss should also improve several downstream markers. | Weight, A1c/insulin, BP, liver |
| Moderately low-carb diet | You seem to do well metabolically with carbohydrate restriction, but there’s no obvious need for extreme keto. Helps appetite control and triglycerides. | Weight, A1c/insulin, triglycerides |
| High protein (~170–200 g/day) | Improves satiety and helps preserve muscle during substantial weight loss. | Weight, muscle/body composition, glucose |
| Strength train 2–3×/week | Preserves/increases lean mass while dieting and improves glucose disposal without requiring huge exercise volume. | Weight/body composition, A1c/insulin, longevity |
| Moderate cardio 2–3×/week | Your 2024 high-cardio period produced your best TG/HDL phenotype. Cardio seems metabolically valuable even when it doesn’t reduce your weight. | Triglycerides, HDL, A1c/insulin, cardiovascular fitness |
| Walk frequently / stay active daily | Gives much of the insulin-sensitivity benefit without the recovery cost of marathon training. | A1c/insulin, triglycerides, BP, weight |
| Don’t use marathon training as a weight-loss tool | You trained heavily . Huge exercise volume didn’t overcome your food/energy balance. | Weight, recovery, iron |
| Keep red meat, but favor lean cuts | Completely eliminating it removes an efficient heme-iron source; fatty red meat can work against LDL goals. | Iron, hemoglobin, LDL/ApoB |
| Favor olive oil, fish, nuts, avocado over butter/fatty meat | Your LDL has repeatedly been high, including during dirty-keto periods. Fat quality matters. | LDL, ApoB, cardiovascular risk |
| Avoid “dirty keto” | Your 2013 keto phenotype had good TG/HDL but high LDL. Keto solved one lipid problem while leaving another. | LDL/ApoB, triglycerides, weight |
| Use IF only if it makes eating less easier | IF + poor diet in 2016 still produced TG Timing isn’t enough. | Weight mainly |
| Replete iron | Your iron stores went low | Iron, hemoglobin, energy/exercise capacity |
| Don’t optimize around A1c alone until iron improves | Iron deficiency can distort A1c. | Glucose assessment |
| Consider CGM / post-meal glucose temporarily | Would tell you whether the issue is post-meal excursions rather than fasting glucose and avoids some of the current A1c ambiguity. | A1c/insulin strategy |
| Prioritize ~25–30 lb of initial weight loss | Probably your biggest single multi-system intervention. First milestone around 30 less | Weight, A1c, insulin, BP, liver, triglycerides |
| Keep alcohol low | Your ALT has improved from as high as despite remaining heavy. Protect that improvement. | Liver, triglycerides, weight, BP |
| Improve sleep toward 7+ hours | Poor sleep makes appetite, insulin sensitivity, BP, recovery and weight control harder simultaneously. | Weight, A1c/insulin, BP, recovery |
| Address possible sleep apnea | If present, improving sleep quality could be a surprisingly large metabolic and cardiovascular lever. | BP, glucose, weight regulation, energy |
| Repeat LDL + ApoB after ~3 months of the optimized plan | Your LDL seems partly lifestyle-responsive but also persistently elevated across very different lifestyles. | Cardiovascular risk |
| Get Lp(a) once if not already measured | Helps determine how aggressive you should be about lifetime LDL/ApoB exposure. | Cardiovascular risk |
The Rolex Life 
Leave a comment