Background rates, and why they matter for attribution
The features that should prompt urgent assessment, stated once and plainly.
TheCompound Journal
Reporting on incretins, compounding & the peptide supply chain
Measurement
Density is a proxy for strength and an imperfect one, particularly when soft-tissue thickness over the measurement site is changing.
The mechanistic argument for a genuine skeletal effect is simple and reasonable: bone remodels in response to mechanical loading, a lighter person loads their skeleton less, and a rapid reduction in loading produces a rapid reduction in density. That argument predicts bone loss with any successful weight-loss intervention and does not predict anything peculiar to incretins. Whether these drugs do something to bone beyond making their users lighter is a separate question and the evidence for it is currently very thin in both directions.
Every widely used body-composition instrument partitions the body into compartments, and the compartment names do more work than they should. In the standard three-compartment DXA output, a body consists of fat mass, bone mineral content and lean soft tissue. The third of those is defined by subtraction: it is what remains once fat and bone are accounted for. It therefore includes skeletal muscle, cardiac and smooth muscle, the liver, kidneys, gut and other viscera, the skin, the blood, and all extracellular and intracellular water.
The water term is the one that causes the most confusion in the first weeks of treatment. Muscle glycogen binds water at roughly three grams per gram, so a shift in glycogen stores produces a change in lean mass measurement several times its own size. Reduced food intake, reduced carbohydrate intake and reduced training volume all lower glycogen. A person who reads a two-kilogram fall in lean mass across the first month of treatment may have lost very little muscle and a good deal of water, and no instrument in routine use can tell them which.
This is not a pedantic distinction. It determines whether an early reading is alarming or unremarkable, and it is the reason the Journal treats composition measurements taken inside the first eight weeks of treatment as close to uninterpretable.
SURMOUNT-1 randomised adults with obesity or overweight without diabetes to tirzepatide at 5, 10 or 15 mg weekly or placebo for seventy-two weeks, with mean weight reduction of approximately 20.9 per cent at the highest dose against 3.1 per cent on placebo.1 A DXA substudy of approximately one hundred and sixty participants measured composition at baseline and at week seventy-two.
The reported result is usually summarised as a three-to-one ratio: total fat mass fell by roughly a third while lean mass fell by roughly a tenth, so approximately three-quarters of the mass lost was fat. The substudy also reported that the ratio of fat mass to lean mass change was more favourable on tirzepatide than on placebo, which is the comparison that matters and the one most often omitted, because placebo participants who lost a small amount of weight lost a proportionally larger share of it as lean tissue.
The Journal notes two limits on this figure. It is a mean across three dose arms pooled in some analyses and reported separately in others, and secondary coverage rarely says which. And a favourable ratio applied to a very large total loss still yields a substantial absolute lean-mass reduction, which is the legitimate residue of the concern.
No head-to-head trial has compared body composition between agents in this class. Every published ranking is an artefact of the comparison.
On the muscle-sparing claimAn 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.2 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.
| 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. | |||
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.3 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.4 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.
Two 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.5 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.
The instrument determines the answer more than the drug does, and the trade quotes the answer without naming the instrument.
Priya Ramanathan, PharmD, Pharmacy ColumnistFour 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.
| Programme | Agent | Method | Substudy n (approx.) | Duration |
|---|---|---|---|---|
| STEP 1 | Semaglutide 2.4 mg | DXA, whole body | 140 | 68 weeks |
| SURMOUNT-1 | Tirzepatide 5/10/15 mg | DXA, whole body | 160 | 72 weeks |
| SURPASS-3 MRI | Tirzepatide vs degludec | MRI, liver and abdominal depots | 300 | 52 weeks |
| S-LiTE (investigator-initiated) | Liraglutide 3.0 mg ± exercise | DXA, whole body and regional | 195 | 52 weeks |
| SURMOUNT-4 | Tirzepatide, withdrawal design | No imaging substudy reported | — | 88 weeks |
| Enrolment figures are approximate and refer to the imaging substudy, not the parent trial. Substudy sites were selected for scanner availability rather than for representativeness. | ||||
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.
What would change our reporting is a single trial: current agent, pre-specified strength and physical-function endpoints, randomised co-intervention, bone imaging that is not confounded by soft-tissue change, and a follow-up long enough for the skeleton to respond. It would cost a fraction of what the parent programmes cost. Its absence, four years into the largest voluntary weight-loss experiment in medical history, is the finding this department keeps returning to.
The features that should prompt urgent assessment, stated once and plainly.
Receptor expression maps explain the effect profile better than any dose-response curve.
What the Journal would want measured before treating this as settled in either direction.
The clinical effect profile is almost fully predictable from where the receptor is expressed, which is unusual and useful.
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.