Eating enough protein on a suppressed appetite is an arithmetic problem before it is a nutritional one

There is a practical problem that the guidance rarely engages with. A person whose food intake has fallen by a third to a half because a drug is acting on their brainstem is not in the position of a person voluntarily restricting energy while retaining normal appetite. Protein is satiating, which is helpful for adherence to a deficit and unhelpful when the deficit is already involuntary and the task is to fit a hundred and forty grams of protein into an appetite that closes at two small meals. The arithmetic tightens rather than relaxes as the dose escalates.

Bioimpedance measures conductivity and calculates everything else

Bioelectrical impedance analysis passes a small alternating current through the body and measures the opposition to it. Lean tissue, being largely water and electrolyte, conducts; fat does not. From the measured impedance, a height term, a weight term and a set of population-derived regression equations, the device produces a fat mass figure. The impedance is measured. The body composition is computed from an equation fitted to somebody else.

The consequences are well documented. Agreement with DXA at the group level is often reasonable; agreement at the individual level is not, with limits of agreement for fat mass frequently spanning several kilograms in either direction, and the disagreement growing at higher body mass index — precisely the population of interest here.¹ Worse for our purposes, the measurement is sensitive to hydration status, recent exercise, recent meals, ambient temperature, skin moisture and time of day, all of which are changing during incretin treatment. A device that reads fat mass as a function of body water, used in a person whose body water is unstable, will report composition changes that are hydration changes. The Journal does not report BIA-derived composition changes from consumer devices, and would not treat them as evidence of anything.

The one-quarter rule and the paper that dismantled it

Clinical teaching has long held that approximately twenty-five per cent of the mass lost during weight reduction is fat-free tissue. The figure appears in textbooks, in review articles and in a great deal of consumer material, usually without a citation and always without an interval.

A critical review published in 2014 traced the rule to a limited number of older studies, examined the variation across the wider literature, and concluded that treating one-quarter as a constant is not defensible.² The fraction of loss that is fat-free tissue varies systematically with baseline adiposity — heavier people lose proportionally more fat — and with the rate of loss, the protein intake, the activity pattern and the measurement method. Reported values span from well under fifteen per cent to above thirty-five.

This matters for the current argument in a specific way. Both the reassuring and the alarming readings of the incretin substudy data are constructed by comparing an observed fat-free fraction against the one-quarter benchmark. If the benchmark is a loose average rather than an expectation, both comparisons are weaker than they appear, and the honest statement is that the observed fractions sit within the range that dietary weight loss has always produced.

What the substudies were never powered to detect

An imaging substudy inside a large trial is sized to describe rather than to test. The enrolment is set by how many participating sites have a scanner and by what the sponsor budgeted, not by a power calculation against a composition hypothesis, and the analysis is generally pre-specified as exploratory or descriptive. The consequence is that these substudies can report a mean change with a usable confidence interval and cannot support most of the questions asked of them.

They cannot, for instance, establish whether lean-mass change differs between dose arms, because the per-arm enrolment after splitting is in the low tens. They cannot establish whether it differs by age, sex, baseline adiposity or diabetes status, because those subgroups were not enrolled to be comparable. They cannot describe the distribution of individual responses, because the per-participant least significant change is a substantial fraction of the observed mean effect. And they cannot address function at all, because nobody measured it.

Nor was the imaging repeated when the programmes were extended. The two-year semaglutide extension reported weight, waist circumference and cardiometabolic parameters at week 104 and did not repeat the composition substudy, so there is no imaging at all beyond seventy-two weeks in this class.³ Whatever the trajectory of lean mass is in year two of treatment, nobody has measured it.

None of this is a scandal; it is the ordinary economics of trial substudies. It becomes a problem only when a descriptive group mean is quoted as though it characterised what will happen to an individual, which is now the normal register of coverage on this subject.

The endpoint nobody measured

The clinical question is not how many kilograms of lean tissue a person has. It is whether they can climb stairs, rise from a chair without using their arms, carry shopping, and recover from an illness that keeps them in bed for a week. Those are measurable — grip strength, gait speed, chair-stand time, stair-climb power, the short physical performance battery — and they are measured routinely in geriatrics and sports science. Not one phase 3 trial in this drug class has reported them as a pre-specified endpoint.

That absence is the strongest available criticism of the programmes, and it has been made in the general medical literature by authors who are otherwise unsympathetic to muscle-loss alarmism.⁴ Their argument is worth stating precisely: the concern about lean-mass loss is plausible but unquantified, the instrument used to assess it is a poor proxy for the tissue of interest, and the endpoints that would settle whether it matters are cheap, validated and were simply not collected.

Where function has been measured during substantial weight loss by other routes, the results are mostly reassuring: physical performance usually improves, because carrying less mass is itself a functional benefit. That is a reasonable prior and it is not a substitute for the measurement.

Where the protein number comes from

The figures in circulation — commonly one and a half to two grams of protein per kilogram of body weight daily, sometimes expressed as a floor of around a hundred grams — are traceable. The most-cited primary source is a randomised trial in resistance-trained young men under a substantial energy deficit, comparing a higher against a lower protein intake with supervised training and controlled feeding; the higher-intake group gained lean mass and lost more fat over four weeks.⁵ Supporting evidence comes from a large meta-analysis of protein supplementation during resistance training, which found a benefit to lean mass accrual that plateaued at around one and a half to one point six grams per kilogram daily.⁶

Both are good studies. Neither enrolled anybody over about thirty-five, anybody with obesity, or anybody losing weight at more than a small fraction of the rate this drug class produces. The plateau figure in particular is a plateau for training-induced accrual in weight-stable or mildly deficit conditions, and its application as a preservation target during a twenty per cent weight reduction is an extrapolation rather than a finding.

The Journal quotes these numbers because they are the best available and states their provenance because the provenance is the argument.

Grams per kilogram of what

A ratio requires a denominator and this one has at least three in common use. Per kilogram of current body weight, one and a half grams gives a hundred and eighty grams a day for a person weighing a hundred and twenty kilograms — an intake that is difficult on a normal appetite and close to unachievable on a suppressed one. Per kilogram of a reference or ideal body weight, the same ratio gives perhaps a hundred and five grams. Per kilogram of measured lean mass, higher ratios are conventional and the absolute target lands somewhere between the two.

Guidance in the obesity literature generally uses reference weight or an adjusted weight for precisely this reason, and consumer material generally uses current weight without saying so, which inflates the target by a third or more in the population most likely to be reading it. A person then fails to meet an inflated target and concludes they are losing muscle.

The Journal reports protein targets against an explicitly named denominator, every time, and regards a gram-per-kilogram figure without a stated denominator as uninformative. Where a source does not say which weight it means, that is worth noticing rather than resolving by assumption.

What the systematic reviews support

Two syntheses are worth separating. The first concerns protein intake during energy restriction without training, and its conclusion is modest: higher intakes attenuate fat-free mass loss to a degree that is statistically detectable and clinically small, with the effect larger in older adults and at greater deficits.⁷ The second concerns protein plus resistance training, where the effect is larger and more consistent, and where the protein and the training are difficult to separate because they interact.

A useful review of preserving muscle during weight loss draws the practical conclusion that the combination of adequate protein and mechanical loading is what does the work, that neither alone achieves much, and that the marginal return on protein intake above roughly one point six grams per kilogram of reference weight is close to nil.⁸ That last point is the one most often dropped: the dose-response curve flattens, and intakes of three grams per kilogram — which appear in consumer advice with some regularity — have no supporting evidence and a real opportunity cost in an appetite that only accommodates so much food.

None of these syntheses included a participant taking an incretin. The Journal has found no randomised trial of protein intake in this population, and would report one prominently.

The one trial that combined an agonist with supervised exercise

A Danish randomised trial remains the only controlled test of the obvious question. After an eight-week low-energy diet producing approximately thirteen kilograms of weight loss, participants were randomised for one year to supervised exercise alone, liraglutide 3.0 mg alone, both combined, or placebo.⁹ The combination arm achieved the largest weight reduction and, more relevantly here, the most favourable composition outcome: body fat percentage fell roughly twice as much in the combination group as in either single-intervention group, and the exercise arms preserved lean mass better than the drug-alone arm.

Three qualifications belong with that result. The exercise was supervised and substantial — two group sessions and two individual sessions weekly, with a vigorous-intensity target — which is not what most people mean by adding exercise. The agent was liraglutide at 3.0 mg daily, producing considerably less weight loss than the current agents, so whether the interaction scales to a twenty per cent reduction is unknown. And the trial began after weight had already been lost, so it is a maintenance study rather than an induction study.

With those stated, it is the best evidence in the field and it points in the direction the general advice already points.

What has been measured in bone

A secondary analysis of the Danish exercise-and-liraglutide trial is the only randomised evidence on bone in this class worth the name. It reported that exercise alone, or exercise combined with the agonist, preserved bone mineral density at clinically relevant sites, whereas the agonist alone was associated with reductions at the hip and spine relative to the exercise arms.¹⁰ The effect sizes are small in absolute terms and the trial was not designed for this endpoint.

Around that sits a larger and older literature on dietary and surgical weight loss, which is consistent: substantial weight reduction lowers bone mineral density at load-bearing sites roughly in proportion to the mass lost, with the hip and femoral neck affected more than the lumbar spine, and with bariatric surgery producing the largest changes. Bone turnover markers rise early and remain elevated for months.

Two things are missing. There is no randomised bone endpoint in any trial of the current agents, at any dose, for any duration. And there is no fracture data at all — no trial in this class has been powered for fractures, none has reported them as a pre-specified outcome, and the observational literature is confounded by the fact that weight loss changes fall risk in both directions.

How the Journal reports a body-composition figure

Four things accompany every composition number in these pages. The instrument, because DXA, magnetic resonance, bioimpedance and creatine dilution are not interchangeable and the choice frequently determines the sign of the result. The sample size of the substudy rather than of the parent trial, because the parent trial size is irrelevant to the composition finding and quoting it is misleading. The definition used — total lean mass, lean soft tissue, appendicular lean mass or fat-free mass — because these differ by several kilograms in the same person. And whether the figure is a proportion of body mass or an absolute quantity.

Where a source omits any of the four, we say so rather than guessing, and where we have had to convert between definitions we show the conversion. This is more cumbersome than the alternative and it is the only way we have found to write about this subject without producing sentences that are technically true and practically misleading.

Readers who find a figure in these pages that lacks its instrument and its sample size have found an error, and the standards desk would like to hear about it at standards@compoundjournal.com.

What the testing services can and cannot tell you here

A category confusion arrives in the Journal postbag with some regularity, and it is worth addressing directly. The four independent testing services this market relies on — Janoshik, Medutest, PeptideMeter and VendorInvestigate — analyse the contents of a vial. They report chromatographic purity, identity by mass, sometimes peptide content, and in the case of the verification services, what they were able to establish about a supplier. None of them measures anything about a person.

A certificate stating 98.7 per cent purity for a batch supplied by WWB, SSA or KP is silent on that customer’s body composition, and a low-purity result does not explain a disappointing DXA scan. The two questions are answered by different instruments in different buildings, and conflating them produces a particular kind of dead end in which somebody spends several hundred pounds on analytical testing to investigate a clinical question.

The reverse confusion also occurs: a satisfactory laboratory panel or a favourable body-composition scan is offered as evidence that a vial contained what its label claimed. It is not evidence of that either. Compounds sold for research use only are not approved for human use, and nothing in this section should be read as advice about using them.

Correspondence on this subject reaches the Journal at a higher rate than on any other, and a striking proportion of it consists of readers reporting a number from a device and asking what it means. The honest answer, in most cases, is less than they hope. We would rather say that than supply a confident interpretation the instrument cannot support.