The slide that was not in the abstract
Reported from the sessions, and from the two hours afterwards.
TheCompound Journal
Reporting on incretins, compounding & the peptide supply chain
Body composition
Weight loss reduces bone mineral density at load-bearing sites. Whether that translates into fractures in this population is unmeasured.
There is a measurement complication specific to the skeleton that deserves stating early. Dual-energy X-ray absorptiometry infers bone mineral density from the differential attenuation of two X-ray energies, and the soft tissue lying over the bone is part of the model. When that soft tissue changes thickness and composition by a fifth over eighteen months, some portion of the apparent change in bone density is an artefact of the changed overlying tissue rather than a change in the bone. The magnitude of that artefact is debated and is not zero.
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.1 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.
The most methodologically interesting composition data in this class did not come from an obesity trial. A magnetic-resonance imaging substudy within SURPASS-3, comparing tirzepatide against insulin degludec in type 2 diabetes, measured liver fat content and abdominal adipose tissue volumes rather than whole-body compartments.2 Approximately three hundred participants were imaged, which makes it the largest imaging substudy in the programme.
Liver fat content fell substantially more on tirzepatide than on insulin, as did visceral adipose tissue volume, and the separation between the arms was larger than the difference in total body weight would predict. That is the single most useful composition finding in the class, because it shows the two interventions redistributing tissue differently rather than merely producing different amounts of weight change.
Magnetic resonance is the better instrument for this question by some distance: it measures adipose tissue volumes directly and separates visceral from subcutaneous depots, neither of which DXA does well. It is also expensive, slow and unavailable at most trial sites, which is why the whole-body composition argument is still being conducted on DXA data from a few hundred people.
Report lean mass as a proportion and it rises. Report it in kilograms and it falls. Selecting the framing selects the conclusion.
On denominatorsThere is a rhetorical move available to both sides of this argument and it works by choosing a denominator. Report lean mass as a proportion of total body mass and it rises during successful treatment, because fat is falling faster; the treatment looks composition-improving, which it is. Report lean mass in absolute kilograms and it falls; the treatment looks muscle-costing, which it also is. Both statements can be made from the same scan pair without either being false.
The Journal reports both, in that order, and thinks anybody presenting only one should be asked why. The proportional figure is the right one for questions about metabolic quality: a body with a higher lean fraction handles glucose better and carries less ectopic fat. The absolute figure is the right one for questions about function and reserve, because a hip fracture at seventy-eight is not prevented by a favourable ratio.
The two framings also diverge most sharply exactly where the stakes are highest. A person losing twenty-five per cent of their body weight will show an excellent proportional result and the largest absolute lean-mass reduction in the cohort. Selecting the framing selects the conclusion, which is why the trade has settled on whichever one suits it.
| Target | Population it was established in | Duration | Denominator used |
|---|---|---|---|
| 0.8 g/kg/day | General adult requirement, nitrogen balance | Weeks | Current body weight |
| 1.2–1.5 g/kg/day | Older adults, energy restriction | 6–12 months | Current or adjusted weight |
| 1.6 g/kg/day | Resistance training, plateau of accrual | 8–16 weeks | Current body weight |
| 2.4 g/kg/day | Resistance-trained young men, large deficit | 4 weeks | Current body weight |
| 1.5 g/kg reference weight | Obesity management guidance | Not trial-derived | Reference or ideal weight |
| No target in this table was established in anybody taking a GLP-1 receptor agonist. The denominator column is the reason the same ratio produces targets differing by a third or more. | |||
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.3 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.
The closest analogue to rapid weight loss in an older, heavier population predates this drug class entirely. In a randomised trial of adults aged sixty-five and over with obesity, assigned to diet, exercise, both or a control condition for a year, the combination produced the largest improvement in physical function, and the exercise component attenuated the loss of lean mass and of bone mineral density that diet alone caused.4 Diet alone improved function too — carrying less mass helps — but by less, and at a measurable skeletal cost.
That trial is the template for how the question should be asked in this class: randomise the co-intervention, measure function as a primary endpoint, measure bone, and follow for long enough for the skeleton to respond. Its population, older and heavier and losing weight quickly, resembles a large share of current incretin users far more closely than the young resistance-trained cohorts from which most consumer advice descends.
The Journal cites it frequently for that reason and notes the obvious limitation: the weight loss achieved was roughly a tenth of body mass over a year, which is half or less of what the current agents produce. Whether the protective effect of training holds at twice the rate of loss is not established.
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.5 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.
Densitometry infers bone mineral density from the differential attenuation of two X-ray energies, using the surrounding soft tissue as the baseline against which bone is distinguished. The algorithm assumes a soft-tissue composition, and that assumption is embedded in the calibration. When the thickness and fat fraction of the tissue overlying a measurement site change substantially, part of the apparent change in bone density is an artefact of the altered baseline.
The magnitude is contested. Phantom and cadaver work suggests errors of the order of one to three per cent for large changes in overlying fat, which is the same order as the real bone changes being reported over a year of rapid weight loss. In practice this means that a hip bone mineral density reduction of two per cent in a person who has lost a fifth of their body weight cannot be cleanly separated into a bone effect and a measurement effect, and the published analyses do not attempt it.
Quantitative computed tomography and high-resolution peripheral imaging are less vulnerable, measure geometry and microarchitecture rather than areal density, and have not been used in any trial in this class. The Journal regards that as the most easily closed gap in the whole body-composition literature.
A body-composition report gives four decimal places and no confidence interval. That is the whole difficulty in one sentence.
On precisionTwo hypotheses compete and both are underpowered. The first is that incretins are neutral for bone beyond making their users lighter, so any density change is the ordinary consequence of reduced mechanical loading. The second is that GLP-1 receptor signalling has direct skeletal effects — receptors have been reported on osteoblast lineage cells, and GLP-1 influences the entero-osseous axis and calcitonin secretion — which could be protective, harmful, or negligible.
The evidence cited for a protective effect is an early study of weight-loss maintenance in which liraglutide treatment was associated with preserved bone mineral density relative to a diet-alone comparison, interpreted at the time as a direct skeletal benefit.6 That finding sits awkwardly beside the later secondary analysis in which the agonist arm did worse than the exercise arms, and the two are not straightforwardly reconcilable: different agents at different doses, different comparators, different durations, small samples throughout.
The Journal reports the question as open, which is unsatisfying and accurate. What would settle it is a randomised bone endpoint with imaging that is not confounded by soft-tissue change, in a population whose weight loss is matched across arms. Nothing of that description is under way.
| Trial arm | Total weight change | Fat mass change | Lean fraction of loss |
|---|---|---|---|
| STEP 1, semaglutide 2.4 mg | −14.9% | ≈ −19% of fat mass | ≈ one third to two fifths |
| STEP 1, placebo | −2.4% | small | proportionally greater |
| SURMOUNT-1, tirzepatide 15 mg | −20.9% | ≈ −34% of fat mass | ≈ one quarter |
| SURMOUNT-1, placebo | −3.1% | small | proportionally greater |
| S-LiTE, liraglutide + exercise | −9.5% from post-diet | largest of four arms | smallest of four arms |
| All figures are group means from imaging substudies, by DXA, at a single follow-up point. The per-participant least significant change is a substantial fraction of these effects, so none of these rows describes an individual. | |||
Two commercial claims have attached themselves to this subject and both deserve naming. The first is that a particular agent in the class is muscle-sparing relative to the others. No head-to-head trial has compared body composition between agents in this class, at matched weight loss or otherwise. Cross-trial comparison of DXA substudies with different populations, durations, scanners and analysis definitions cannot support a ranking, and every published ranking of that kind is an artefact of the comparison rather than a finding.
The second is that a supplement, peptide or co-administered compound preserves lean mass during incretin treatment. The Journal has reviewed the material behind several such claims and found the same structure each time: a mechanistic rationale, a small study in a different population or in animals, and no randomised evidence in anybody taking a GLP-1 receptor agonist. Several of the compounds marketed for this purpose are sold for research use only and are not approved for human use in any jurisdiction, a fact that the marketing generally states in small type and contradicts in large.
Neither claim is refuted. Both are unevidenced, which in a market this size is the more useful thing to establish.
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.
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.
Two things follow practically and only two. Eating adequate protein and loading the skeleton during rapid weight loss are supported by general physiology, carry negligible risk, and are worth doing. Expecting either to prevent lean-mass loss outright is not supported by anything, and treating a fall in a DXA number as a failure of adherence is a misreading of what the number can tell you.
Selected from correspondence received on this article. Writers are identified by initial, surname and city, verified before printing. Replies are from the desk that filed the piece or from the standards editor. Write to letters@compoundjournal.com.
Three vendors have now sent me marketing material claiming their product preserves lean mass during GLP-1 treatment, two of them citing your publication as a source for the underlying composition figures. You may want to know that.
— R. Anand, Pune
We did not, and we are grateful. Quoting our reporting of a substudy alongside an unevidenced product claim is a misuse of it, and the standards desk has written to all three.
I have read your protein tables twice and I still cannot work out what I should eat. I appreciate that this is the honest position but it is not a useful one for a person in a supermarket.
— C. Adeoti, Ibadan
It is a fair complaint about a real limitation. What we can say is that the defensible range is narrower than the disagreement suggests, that the denominator matters more than the ratio, and that a clinician or dietitian can convert a range into a number for your body in a way that a magazine cannot.
My mother is eighty-one and on a low dose for her diabetes. Her weight is down nine kilograms and she now struggles to get out of a low chair, which she did not eighteen months ago. Nobody has measured anything. I do not know whether this is the drug, the weight loss, or being eighty-one, and neither does anybody I have asked.
— P. Kovalenko, Lviv
That is the situation the missing endpoint produces, and we are sorry to have no better answer. A chair-stand time takes thirty seconds to measure and would at least establish a baseline against which the next six months could be judged. It is worth asking for by name.
The soft-tissue artefact point in your bone section is underplayed. In a patient losing twenty per cent of body mass the change in overlying tissue is well outside the range the calibration was validated over, and the published analyses do not report a sensitivity analysis for it. That is not a caveat, it is a gap.
— D. Ramkissoon, Port of Spain
We accept the escalation and have strengthened the wording. The absence of any published sensitivity analysis is, as you say, the more damaging observation.
Reported from the sessions, and from the two hours afterwards.
A design note rather than a result: what the comparator was, and what that permits you to conclude.
A design note rather than a result: what the comparator was, and what that permits you to conclude.
A plateau at an intermediate dose and a plateau at the maximum dose look identical from the outside and mean different things.
The composition data comes from imaging substudies enrolling a few score participants at selected sites. It is the best evidence available and it is thin.
Multiple-dose vials are designed for a defined number of punctures. Nobody counts, and the elastomer does not care whether anybody counts.