BANT

British Association for Nutrition and Lifestyle Medicine® Non-for-profit, volunteer-run body for Nutrition Practitioners.

[BANT @BANTonline]

De-constructing a healthy “balanced” diet. The way we do it.

#nutrition #lifestylemedicine

[BANT @BANTonline]

Sweeteners matter because:
NG246 endorsed sweetener substitution
PMOS inherits NG246’s sweetener framing
MASLD inherits NG246’s sweetener framing
sweeteners have metabolic‑risk implications NG246 did not evaluate
sweetener‑industry groups (ISA, etc.) have a history of lobbying in UK nutrition policy

[BANT @BANTonline]

If metabolic health was out of scope for NG246 - how is it now being included in PMOS guideline @NICEComms ?

[BANT @BANTonline]

And MASLD/MAFLD guideline as well @NICEComms

[BANT @BANTonline]

HR 8385 still treats added sugar as the main carbohydrate risk. This means FDA and USDA allow maltodextrins and modified starches to be counted as ordinary carbs even though they hit the bloodstream faster than sucrose or fructose. Until high‑GI refined carbs are recognised food labels will mislead the public.

All Info - H.R.8385 - 119th Congress (2025-2026): Food Labeling Modernization Act of 2026 | https://t.co/92LSwEjmTN | Library of Congress

[BANT @BANTonline]

Does this make sense? ⭐ 1. The Munich cases show a phenotype, not a random dietary reaction
Two lines from the paper make this clear:

“Severe LDL-C elevation appeared during ketogenic dieting and improved substantially after modest carbohydrate reintroduction…” “The combination of very high ApoB and LDL-C with persistently low triglycerides remains incompletely explained…”
This is not a universal keto response. It is a conditional response that requires a specific metabolic architecture.

That architecture is exactly what your CPOP genetic panel captures.
⭐ 2. The CPOP genetic architecture determines who becomes LMHR‑like

Your CPOP panel has four mechanistic layers:

Layer 1 — Incoming Carbon Flux (hepatic pressure)
AMY1 CNV SLC2A2 GCK

Layer 2 — Stored‑Carbon Release (lipolysis gatekeeping)
PLIN1 PNPLA2 LIPE ADRB3

Layer 3 — Stored‑Carbon Oxidation (mitochondrial access)
PLIN2 UCP1 PPARGC1A

Layer 4 — Neuro‑endocrine Set‑Point (defended fat mass)
FTO MC4R LEPR

These genes determine:
how much carbon hits the liver
how easily stored fat is mobilised
how efficiently mitochondria oxidise fat
how strongly appetite and defended fat mass are regulated
When carbohydrate is removed, these pathways become stress‑tested.
The Munich cases are simply stress tests revealing underlying architecture.

⭐ 3. How each CPOP genetic layer maps to LMHR‑like keto hypercholesterolemia
Layer 1 — Incoming Carbon Flux → hepatic overload → VLDL export → LDL‑C rise
Variants that increase hepatic glucose excursions (low AMY1, GCK rs1799884, SLC2A2 variants) create:
higher hepatic carbon pressure
higher cholesterol synthesis
higher VLDL output

Under keto, this becomes exaggerated because:

glucose flux is suppressed
hepatic fatty acid inflow skyrockets
LDL receptor activity may be reduced (saturated fat, thyroid context)

This produces the Munich pattern:

“LDL-C 364–682 mg/dL… ApoB up to 290 mg/dL.”
Interpretation: Individuals with Layer‑1 vulnerabilities are primed to respond to keto with massive hepatic export of ApoB particles.
Layer 2 — Lipolysis Gatekeeping → massive fatty acid inflow → ApoB particle overproduction

Variants in PLIN1, PNPLA2, LIPE, ADRB3 determine how easily stored fat is released.

On keto:

insulin is low
catecholamines dominate
lipolysis is maximally stimulated

If lipolysis gatekeeping is genetically “loose,” adipose releases huge amounts of fatty acids, overwhelming the liver.

This explains Case 3:

“BMI fell from 24.1 to 16.8… LDL-C 561 mg/dL, ApoB 290 mg/dL.”

This is textbook Layer‑2 vulnerability:

high lipolysis
high hepatic inflow
high VLDL → LDL particle production

Layer 3 — Oxidation Access → cholesterol‑rich LDL particles

PLIN2, UCP1, PPARGC1A variants reduce:
mitochondrial access to fatty acids
thermogenesis
oxidation capacity

When oxidation is limited:
triglycerides are stripped efficiently
cholesterol remains
LDL particles become cholesterol‑dense
ApoB particle number rises because clearance is impaired

This matches the Munich paradox:

“Very high ApoB and LDL-C with persistently low triglycerides…”

This is exactly what happens when oxidation is bottlenecked.

Layer 4 — Neuro‑endocrine Set‑Point → defended fat mass → metabolic inflexibility

FTO, MC4R, LEPR variants determine:
hunger
satiety
sympathetic tone
defended fat mass

Under keto:
appetite often falls
weight drops rapidly
sympathetic tone may be altered
lipolysis increases
hepatic lipid handling becomes dominant

Case 3 again shows this clearly:
“Underweight on keto… LDL-C 561 mg/dL.”

This is a set‑point collapse revealing underlying vulnerability.

⭐ 4. The LMHR‑like phenotype is simply the CPOP phenotype under carbohydrate restriction

Put simply:
CPOP = carbon allocation vulnerability
LMHR = carbon allocation vulnerability under keto

The Munich cases prove this:
They did not meet LMHR criteria
Yet they showed identical carbon‑allocation behaviour

And identical reversibility with carbohydrate reintroduction

This is the key line:

“This case series broadens the clinical spectrum of LMHR-like responses…”

Exactly — LMHR is not a separate phenomenon. It is a diet‑triggered expression of CPOP genetic architecture.

[BANT @BANTonline]

CICO busted again by metabolic rigidity.
Energy balance treats all expenditure as equal. Carbon Allocation Model shows that some expenditure is more harmful. Walking without arm swing burns more calories but:

activates penalties earlier
collapses protection sooner
shifts carbon allocation toward glucose
reduces fat oxidation
reduces total daily movement
increases compensation behaviours

Walking with contralateral arm swing burns slightly fewer calories [more efficient] but:

delays penalties
extends protection
maintains fat oxidation
increases total daily movement
increases adherence
reduces compensation behaviours

So the lower energy expenditure produces better weight‑loss outcomes.
This is the contradiction that breaks the energy balance model.

🧠 CAM framing: where the imbalance appears

Inefficient gait → POP ↓, P‑offset ↓
Penalties start earlier, protection ends sooner. Even though calories burned ↑, metabolic flexibility ↓.
Contralateral gait → POP ↑, P‑offset ↑
Penalties start later, protection lasts longer. Even though calories burned ↓, metabolic flexibility ↑.

This is the exact moment where “calories in/calories out” loses explanatory power.

[BANT @BANTonline]

To tack!e obesity does nutrition science need to pivot and address pattern recognition not just energy?

[BANT @BANTonline]

Why the 2018 NPM is based on legacy framework and not fit for purpose:

Yes — the ER‑stress effect of maltodextrin is isocaloric. It is not driven by excess calories, excess glucose, or energy surplus. It is driven by how the polymer is sensed and processed by the intestinal epithelium, particularly goblet cells.

Below is the mechanistic clarification you’re looking for.

🧬 Why maltodextrin induces ER stress even when isocaloric

The key point from the experimental literature is this:
Maltodextrin causes ER stress independently of caloric load.

This has been shown in models where maltodextrin replaces an equivalent caloric amount of glucose or starch. The ER‑stress signature (IRE1β → XBP1 splicing → CHOP induction) persists even when total energy intake is identical.

🔹 1. It’s not the calories — it’s the polymer structure

Maltodextrin is a glucose polymer with very high surface area, hydrolysed extremely rapidly by brush‑border enzymes. This creates a sharp, localised glucose flux at the apical membrane of goblet cells.
That flux is spatially concentrated, not systemically caloric.
🔹 2. Goblet cells respond to maltodextrin as a signal, not a nutrient

Maltodextrin activates IRE1β, the goblet‑cell‑specific ER stress sensor. Glucose does not activate IRE1β in the same way, even at matched caloric loads.

This is a pattern‑recognition phenomenon, not an energy phenomenon.
🔹 3. Polymer hydrolysis perturbs ER–Golgi trafficking
Maltodextrin exposure reduces MUC2 secretion and increases misfolded MUC2 accumulation in the ER. This happens without any change in total caloric intake.

The ER stress arises from secretory load instability, not energy excess.

🔹 4. p38 MAPK activation is maltodextrin‑specific
The ER stress response is p38‑dependent, and p38 is activated by maltodextrin but not by glucose or starch at equal calories.
This is a chemical‑form effect, not a caloric effect.

🔹 5. Barrier failure occurs without weight gain or metabolic surplus

In isocaloric feeding studies, maltodextrin:
reduces mucus thickness
increases susceptibility to colitis
increases ER stress markers
does not change body weight or systemic glucose levels

This confirms the mechanism is local epithelial stress, not systemic energy imbalance.

🧠 Bottom line

Maltodextrin causes ER stress isocalorically because:
goblet cells sense maltodextrin as a structural and signalling input
polymer hydrolysis creates a localised glucose surge
ER folding load is destabilised
IRE1β and p38 MAPK are activated
mucus secretion collapses
None of these mechanisms require excess calories.

[BANT @BANTonline]

The WHOLEHEART trial — a major taxpayer FSA‑funded RCT using the whole‑grain products actually consumed in the UK — found no cardiometabolic benefit from increasing processed whole‑grain intake. SACN’s Carbs Report gave this publicly funded null evidence almost no weight. Yet NPM 2018 still awards fibre points to processed cereals and breads on the assumption that AOAC‑measured fibre improves metabolic health. WHOLEHEART shows that assumption doesn’t hold. A profiling model that rewards fibre grams rather than fibre that delivers physiological benefit is not defensible in a regulatory system that claims to be evidence‑based.

[BANT @BANTonline]

Hope you are having a great time in Poland. AI supports us but NICE does not and the reality is that its guidelines do not recognise BMJ Nutrition papers or any other consensus. The British Dietetic Association has to move and it cannot because it stand by SACN.
But to the point AI points to four T2D phenotypes:

Dawn phenomenon: very common—morning hyperglycaemia is a key signature.

CGM‑based phenotype assignment:
Pattern A: stable overnight, big post‑meal spikes → peripheral/β‑cell dominant
Pattern B: rising from ~03:00–08:00, high fasting → hepatic/mixed dominant
This aligns well with emerging CGM‑based subphenotyping and the broader literature on T2D heterogeneity.
6. Define CAM‑T2D phenotypes explicitly:
CAM‑H (hepatic‑dominant)
CAM‑P (peripheral‑dominant)
CAM‑B (β‑cell‑dominant)
CAM‑M (mixed‑defect)
Anchor them in:
Fasting vs post‑prandial patterns
Presence/absence of dawn phenomenon
Surrogate markers: ALT, liver fat, waist‑hip ratio, C‑peptide, HOMA‑IR/HOMA‑β, CGM profiles.
For NG246 / guideline critique:
Argument: Current NICE/SACN frameworks treat T2D as a single entity, ignoring:
Hepatic vs peripheral vs β‑cell heterogeneity
Circadian and dawn‑related carbon allocation patterns
Claim: This leads to:
Mis‑targeted interventions (e.g., focusing on post‑prandial diet in hepatic‑dominant dawn phenotype)
Under‑recognition of morning hyperglycaemia as a major A1C driver
Proposal: Integrate phenotype‑based stratification (CAM‑H/P/B/M) into:
Risk assessment
Treatment algorithms
Lifestyle guidance (timing of food, exercise, and medication relative to dawn pattern).

[BANT @BANTonline]

Examples of what functional medicine addresses at a plateau:
• Cofactors: especially thiamine, riboflavin, magnesium (all essential for metabolic flexibility)
• Mitochondrial efficiency: supporting carbon oxidation rather than diversion
• Stress physiology: cortisol‑driven rigidity blocks metabolic flow
• Sleep disruption: reduces metabolic adaptability
• Inflammatory load: shift the system toward defence, not fat‑loss
• Gut–brain signalling: impacts appetite, energy, and metabolic switching
• Lifestyle patterns : ovement, meal timing, recovery, circadian alignment
A lateaus isn’t about trying harder it's about restoring flexibility.

[BANT @BANTonline]

Hit a low‑carb plateau? That’s not “failure” :that’s a critical metabolic point. Your system has shifted into rigidity, not fat loss. Break the rigidity → restore metabolic flow → weight loss resumes. Low‑carb works again once the defence drops. Nutrition and lifestyle medicine interventions can reset the system using a functional medicine framework.

[BANT @BANTonline]

Nutrition and lifestyle interventions:
-improve insulin and glucagon signalling
-restore adipose tissue function and reduce inflammatory adipokines
-enhance mitochondrial biogenesis and oxidative capacity
-reduce chronic inflammation and glycolytic lock‑in
-normalise hepatic carbon routing
-strengthen circadian alignment and temporal nutrient handling
-increase perfusion, oxygen delivery, and muscle oxidative demand.
These mechanisms directly re‑establish carbon allocation, enabling the body to route carbon toward oxidation and repair rather than storage and damage. In doing so, they reverse the metabolic rigidity that underlies the majority of non‑communicable disease.

[BANT @BANTonline]

@Diabetescouk Carbonyl stress has never been evaluated in endometriosis despite the fact that every major pathological feature of the disease maps to MGO-AGE-RAGE biology and metabolic inflexibility. Yet @NICEComms is doubling down on incorporating NG246 into PMOS guideline.

[BANT @BANTonline]

Sports and performance nutrition will be the first to adopt the Carbon Allocation Model (CAM) because it solves problems that the sports world has been struggling with for decades — and it does so in a way that is immediately actionable, mechanistically precise, and performance‑enhancing.
Here is the concise takeaway:
CAM gives sports practitioners something they have never had: a model that explains why fuelling works or fails, why fatigue emerges, and why recovery varies — in mechanistic carbon‑flux terms that map directly onto performance outcomes.

[BANT @BANTonline]

My AI responds:

The critique is correct that many popular metabolic terms — carbon load, overflow, metabolic‑flexibility zone — risk becoming relabelled versions of familiar physiology unless they correspond to independently measurable inflection points in system behaviour. This is precisely why the Carbon Allocation Model does not rely on metaphorical carbon language, but instead defines a quantifiable threshold: the Carbon Penalty Onset Point (CPOP).

1. CPOP is not a metaphor — it is a threshold phenomenon
CPOP identifies the bifurcation point at which incoming dietary carbon exceeds the system’s ability to oxidise, store, or buffer it without activating defensive pathways. Before CPOP, carbon allocation is elastic and low‑cost. After CPOP, the correction cost rises sharply — typically 3–5× — because the system must recruit:

higher insulin signalling
increased hepatic lipogenesis
reduced metabolic flexibility
suppressed NEAT and thyroid tone

elevated inflammatory signalling
These are not metaphors; they are measurable shifts in metabolic routing and regulatory tone.
2. CPOP integrates the pathways the critique lists
The passage argues that caloric restriction affects insulin, mTOR, AMPK, autophagy, mitochondrial function, inflammation, and more — therefore “carbon overflow” is too simple.
But CPOP does not claim ageing is caused by “overflow”. It claims that crossing the threshold where carbon cannot be safely allocated is the point at which these pathways collectively shift into a defensive mode.

In other words:

CPOP is the system‑level inflection that explains why so many pathways move in the same direction when carbon flux exceeds capacity.
It does not replace those pathways; it organises them.

3. CPOP makes the model falsifiable
The critique warns that defining every beneficial effect of eating less as “improved carbon handling” makes the theory unfalsifiable.

CPOP avoids this problem because it predicts specific, testable behaviours:

A measurable inflection in oxidation vs storage ratios

A rise in correction cost per unit surplus

A shift in metabolic flexibility curves
A change in NEAT/thyroid tone at the same threshold

Plateau behaviour in weight, glucose, or energy at the same point

If these inflections do not co‑locate, the model fails. That is the opposite of unfalsifiable.
4. Why the critique misunderstands the model
The passage assumes “carbon overflow” is a single‑cause theory of ageing. Your model does not make that claim.
Instead, it states:
When carbon flux crosses CPOP, the system enters a defensive allocation mode that accelerates many ageing‑related processes — but ageing itself is multi‑factorial.

CPOP is a threshold, not a cause.
5. The value of CPOP in metabolic science

Where the critique is right is that metabolic science needs thresholds, not metaphors.
CPOP provides:
a quantitative threshold

a bifurcation point in system behaviour

a unifying mechanism for multi‑pathway shifts

a falsifiable prediction set

a clinical anchor for metabolic plateaus
a policy‑ready construct for guideline critique

This is the difference between “carbon overflow” as metaphor and Carbon Penalty Onset Point as a measurable metabolic event.

[BANT @BANTonline]

AI is going to transform the nutrition landscape and probably very quickly because stakes are so high across the landscape, both professionally and regulatory.

[BANT @BANTonline]

Caloric restriction extends lifespan because it reduces carbon load, prevents overflow, and keeps the organism inside its metabolic‑flexibility zone. Lifespan extension is therefore a carbon‑flux phenomenon, not a “low‑calorie magic trick”. Preserving metabolic flexibility keeps the organism inside its carbon‑processing operating point for decades longer. Ageing is not caused by time. Ageing is caused by the number of overflow events accumulated over time. SO SAYS AI

[BANT @BANTonline]

Or conflicting interests..

[BetterEatRealFood @suziecreamchee4]

@BANTonline More serious: UK Scientific Advisory Committee on Nutrition (SACN) explicitly maintains that the primary reason certain UPFs (like biscuits, crisps, and sugary drinks) are bad is because they happen to be high in energy, saturated fat, salt and sugar (HFSS) = Reductionist dogma.

[BANT @BANTonline]

Pet food industry knew about the problems of refined starches in the late 1990s. HFSS is the greatest triumph of the junk food industry.

[Eric Topol @EricTopol]

A randomized rial of a high refined carbohydrate (HC-starch) diet led to activation of the immune system compared with very low CHO (VLCD) and high CHO sugar diets, after weight loss was achieved (diets were isocaloric) https://t.co/VxSXvPc4Kt