Vol. 3, No. 6 — June 2026Independent since 2024

TheCompound Journal

Reporting on incretins, compounding & the peptide supply chain

A monthly journal of record.
30 issues · 32 contributors
Not medical advice. We sell nothing.

Measurement

Why the bone question is harder than the muscle question

What the Journal would want measured before treating this as settled in either direction.

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.

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.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.

What the older-adult trials found

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.2 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.

The trials measured mass. Nobody measured whether the participants got weaker, and that measurement costs almost nothing.

On the missing endpoint

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.3 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.

What each instrument measures, and what it costs in precision
MethodDirectly measuredMuscle mass estimateTypical CVPractical limit
DXAX-ray attenuation at two energiesBy subtraction; appendicular proxy1.0–1.5%Soft-tissue and hydration assumptions
BioimpedanceElectrical impedanceBy population regression2–5%Tracks body water, not tissue
Magnetic resonanceTissue volumesSegmented, near-direct<1%Cost, throughput, analysis time
D3-creatine dilutionCreatine pool sizeDirect, whole-body muscle≈5%Timed urine plus mass spectrometry
Air displacementBody volume and densityTwo-compartment only1–2%No regional data at all
Coefficients of variation are for repeated measurement on the same device with a consistent operator. Cross-device comparison degrades all of them and is not recoverable by calibration.

The soft-tissue artefact in bone densitometry

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.

Is there a drug-specific skeletal effect?

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.4 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.

49372512044STEP 1 placebo36STEP 1 sema 2…41SURMOUNT-1 pl…26SURMOUNT-1 ti…33S-LiTE lira a…19S-LiTE lira +…per cent of loss
Figure. Approximate proportion of total mass lost that was lean tissue by the DXA definition, selected substudy arms. Group means; the per-participant least significant change is a substantial fraction of each bar.

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.

References

  1. Heymsfield SB, Gonzalez MC, Shen W, Redman L, Thomas D. “Weight loss composition is one-fourth fat-free mass: a critical review and critique of this widely cited rule.” Obesity Reviews. 2014;15(4):310–321.
  2. Villareal DT, Chode S, Parimi N, et al. “Weight Loss, Exercise, or Both and Physical Function in Obese Older Adults.” New England Journal of Medicine. 2011;364(13):1218–1229.
  3. Jensen SBK, Sørensen V, Sandsdal RM, et al. “Bone Health After Exercise Alone, GLP-1 Receptor Agonist Treatment, or Combination Treatment: A Secondary Analysis of a Randomized Clinical Trial.” JAMA Network Open. 2024;7(6):e2416775.
  4. Iepsen EW, Lundgren JR, Hartmann B, et al. “GLP-1 Receptor Agonist Treatment During Weight Loss Maintenance Prevents Bone Loss.” Journal of Clinical Endocrinology & Metabolism. 2015;100(8):2909–2917.

Letters to the Editor

3 printed

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.

I am sixty-eight, I have lost nineteen kilograms over fourteen months, and my consultant has twice told me my lean mass is fine on the basis of a handheld bioimpedance device in the clinic corridor. Having read your piece on what that device measures, I am no longer sure what I have been reassured about.

D. Iversen, Aalborg

The Journal replies

Nor are we. A handheld device measures impedance across the upper body and infers the rest, and the inference is least reliable exactly where you sit: older, substantial weight change, changing hydration. That is not a criticism of your consultant’s judgement, which may be sound on other grounds, but the device is not the evidence for it.

Small correction to your table: the S-LiTE exercise prescription was two supervised group sessions and two individual sessions weekly, not two sessions in total. The distinction matters because "add some exercise" is not what was tested.

G. Escalante, Lima

The Journal replies

Correct, and that is precisely the point we were trying to make and then undermined in our own table. Amended.

I train four times a week, eat a hundred and sixty grams of protein and my appendicular lean mass has fallen by 1.8 kg over ten months while every lift has gone up. Your section on mass against function was the first thing I have read that made that seem normal rather than a failure.

A. Nazarian, Glendale, CA

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