Greg Mushen Profile picture
Nov 8 18 tweets 4 min read Read on X
Mushen’s Theory of Clearance Symmetry

Metabolic health isn’t about what you eat or how much you move. It’s about how efficiently you clear what you take in.

When flux slows, energy accumulates, and that accumulation produces maladaptive responses and negative feedback loops.
Glucose Dysregulation is impaired carbon flux

In a healthy system, glucose moves dynamically through states:

Dietary intake -> blood -> tissues -> mitochondria -> CO2 + H20

Key steps:

Uptake: GLUT transporters

Processing: glycolysis, pyruvate oxidation, TCA cycle

Clearance: oxidation or conversion to glycogen/lactate
So 200g of glucose would behave very differently in:

1) Someone who is sedentary - less tissue uptake due to GLUT4, less oxidation capacity due to reduced mitochondria, inefficient oxidation -> result: blood glucose high, insulin response high, high serum lactate

2) Someone running a marathon - high oxidative capacity, high oxidative demand -> blood glucose normal, minimal insulin response since glucose is being oxidized, any lactate is oxidized

Is sugar bad? Yes. If you don’t clear it.
Lipid Dysregulation is Impaired Flux

Dietary Intake -> chylomicrons -> plasma -> tissues -> mitochondria -> CO2 + H2O

Key steps

Uptake: chylomicrons -> VLDL/trigycerides -> LPL -> tissue uptake

Processing: acyl-CoA -> carnitine -> mitochondria -> acetyl-CoA

Clearance: TCA cycle, storage in adipose tissue, LDL via LDL-R
100 g of fat behaves very differently depending on flux capacity.

1) Sedentary:
Low muscle LPL activity, low mitochondrial density, sluggish beta cell oxidation. Low LDL-R activation

- Triglycerides linger in plasma.
- ApoB particle count rises.
- Fatty acids spill into liver and muscle, forming DAGs and ceramides (more on this later)

2) Endurance-trained:
High LPL activity, dense mitochondria, strong oxidative demand. High LDL-R activity

- Fatty acids rapidly taken up and oxidized to CO2 + H2O.
- Plasma triglycerides and ApoB particles fall quickly.
- Minimal lipid spillover, high insulin sensitivity.

Is fat bad?
Yes. If you can’t clear it.
Chronic Flux Imbalance Over Time Leads to Maladaptive Responses

- Too little fat clearance -> fatty acids spill over into tissue (e.g. muscle/liver) forming DAGs and ceramides that impair insulin signaling. The cell interprets this as energy overload and downregulates glucose uptake, causing a negative feedback loop that further worsens clearance symmetry

- Too little glucose clearance -> Chronic hyperglycemia and hyperinsulinemia drive de novo lipogenesis, adding more lipid to an already congested system (see too little lipid clearance)

Glycolytic overflow increases lactate and ROS, feeding back into mitochondrial stress and potentially creating a more cancer-permissive milieu (The cancer–lactate connection remains under investigation, but elevated lactate is consistently observed in metabolically unhealthy states. And higher cancer rates are seen in the metabolically unhealthy).
Persistent flux imbalance forces the body into defensive adaptation.

Energy accumulates rather than flows, and chronic accumulation creates maladaptive states that form negative feedback loops, ultimately manifesting in disease.
We tend to treat what we eat as independent of the conditions required to clear it.

We tend to view exercise as something that’s simply good for the heart.

But these aren’t separate domains.
They are parts of the same dynamic system: intake and clearance, supply and demand, flux in and flux out.

Every bite changes the clearance requirement.

Every step changes the clearance capacity.

Multiple combinations can be healthy depending on flux context.
And this is arguably why high movement is the more important part of the equation.

It is a lot easier to quantify the output and know that clearance requirements will mostly be satisfied with 17k or so steps.

It’s a lot more difficult to quantify the clearance requirements of various inputs.
And this is not to say eat whatever you want and move 17k steps. No!

Quite the opposite. Follow a diet that will minimize clearance requirements AND maximize clearance.
Is this just a fancy way of saying eat less, move more. No, it is very different.

Eat less, move more is more about energy balance. Substrate clearance is somewhat independent of that.

You could be in energy balance, or even deficit, and that does not guarantee all substrate will be properly cleared.

It is related in a way to energy balance, but not the same thing.

It is much harder to have good clearance kinetics over time when in energy surplus.
And it’s not just what you eat and how much you clear.

Personal genetics impact the clearance equation.

The Amish are a great example. Despite higher clearance requirements from higher saturated fat and sweets, they have much lower rates of heart disease and hypertension.
But around 8% of the population has an APOB clearance gene called R3500Q. This segment of the population has much higher rates of heart disease despite high movement.

They just can’t clear it as efficiently.
So for this part of the population specifically, lowering clearance burden and increasing clearance (even pharmacologically) is very important.

They can’t eat what others in their community eat just because their clearance is impaired.
Other populations such as the Maasai have clearance advantages, such as polymorphisms in APOE, CETP, and HMGCR.

This allows them to “get away” with eating large quantities of saturated fat. Combine this with 12-16 miles of walking per day, and they are able to clear 100-200g of saturated fat a day, although not all of it because they still have fatty streaks.
The Tsimane have the lowest ever recorded CAC levels.

They achieve this through a diet that has low clearance requirements (low saturated fat) combined with 17k steps daily through hilly jungle terrain.
So it’s not just what you hear and how much you clear. It’s tailoring your clearance to your genetics as well.

Health is therefore not one-size-fits-all, but rather matching your clearance strategy to your genetics.
And this is also different from metabolic flexibility. Metabolic flexibility is being able to select the right fuel for the right context.

Clearance symmetry is whether the total flux matches intake and storage turnover.

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More from @gregmushen

Nov 3
Longevity is a game of avoiding chronic disease for as long as possible. The more diseases you accumulate over time, the shorter you will live.

Subsistence populations are largely free of chronic disease, and despite wildly different diets, there’s one metric they share 👇
Most chronic diseases are flux issues. If our inputs exceed our outputs, that’s when we start developing disease.
Insulin resistance

For example, insulin resistance (except in genetic disorders) occurs when we are in a chronic energy surplus.

Over time, fat build up in cells (primarily ceramides).

This can happen in muscle, our liver, our fat, etc. but the pattern is the same.
Read 19 tweets
Oct 29
Deconstructing CICO vs CIM: What Actually Drives Sustainable Fat Loss

Nearly every chronic disease traces back to poor metabolic health.

But when it comes to fat loss, two camps dominate: CICO vs CIM.

Which model actually holds up, and what’s sustainable long term? 👇
First is the CICO camp. This is the energy balance model.

If energy balance is negative, you will lose weight.

If energy balance is positive, you will gain weight.

This is empirically true, and I’ve outlined the entire model here:
CICO is also remarkably predictive.

As a case study, I outlined how we could predict how long weight loss would take with Angus Barbieri, who famously lost 276 pounds by not eating for over a year.
Read 17 tweets
Oct 28
Do low carb diets increase energy expenditure or fat loss independent of calories?

This is the central prediction of the carbohydrate-insulin model.

Lower insulin -> greater fat oxidation -> more fat loss.

But does it work in practice? 👇
Kevin Hall and Juen Guo analyzed 32 controlled feeding studies (563 participants) testing how carb-to-fat ratio affects body energy change when total calories and protein are the same. Image
Hall & Guo pooled ward and tightly controlled feeding trials where:

- Food intake was precisely provided.
- Protein was matched.
- Only carbohydrate <> fat ratio varied.
- Body composition and energy expenditure were measured directly.
Read 12 tweets
Oct 27
Deconstructing CICO

Many people say that “CICO is oversimplified”

But it’s one of the most misunderstood concepts in nutrition.

Here is how energy balance actually works, and how macros can change what you lose, not how much 👇
CICO is based on the first law of thermodynamics. That energy can neither be created nor destroyed.

Some say that this law only applies to closed systems. That is not true.
In its simplest form, CICO can be described by the equation:

ΔEbody = Ein - Eout

So the change in energy in the body is the difference between energy coming in and energy going out.
Read 19 tweets
Oct 22
Very interesting paper. For the past 6-7 years, there has been talk of a constrained energy model, where calories don’t scale linearly with physical activity. But this paper says the opposite. Why the conflicting data? 👇
First, some background. In 2016, Pontzer et al. studied subsistence populations.

When weight matched with sedentary westerners, they appeared to have the same TEE, despite the vast difference in movement (~17k steps versus mostly sedentary). Image
The thinking was that at a certain point, the body would start shutting down certain processes (inflammation, etc.) and allocate more energy to locomotion.

So the difference in calorie burn was explained by more locomotion in subsistence populations and less energy elsewhere (inflammation?) and less energy in locomotion in westerners and more energy elsewhere (inflammation?).
Read 14 tweets
Oct 20
One of the most confusing things about cholesterol is that it’s a dynamic system attempting to reach equilibrium.

The measures we use are snapshots of parts of the system.

Furthermore, at times, only parts of the system are talked about.

This leads to confusion 👇
Yes, LDL is causal. Given enough circulating LDL which contains ApoB, and enough time, ApoB will get trapped in the endothelia.

This is the initiating event for atherosclerosis.

Nothing else needed. Inflammation is not needed.

Only circulating LDL and time.
Yet, paradoxically, LDL isn’t the biggest risk factor.

Things like insulin resistance, high blood pressure, smoking, etc. are much higher risk factors to ASCVD than LDL alone.

Does this mean that LDL isn’t causal? No, it doesn’t.

LDL still matters.
Read 16 tweets

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