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
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Laboratory medicine

EGFR, cystatin C, and the check on the check

What the renal and hepatic outcome programmes actually measured, and over what duration.

There is a complication in the reference interval that deserves more attention than it gets. The upper limit of normal for alanine aminotransferase in most clinical laboratories was derived from reference populations that included people with undiagnosed hepatic steatosis, which inflates it. Work redefining the healthy range from a population screened for viral hepatitis, alcohol and metabolic risk found substantially lower limits — around thirty units per litre for men and in the region of nineteen for women. A person whose ALT falls from 46 to 32 has moved from clearly abnormal to normal by their laboratory interval and to borderline by a stricter one.

The creatinine artefact, stated precisely

Serum creatinine is the breakdown product of creatine phosphate in skeletal muscle, produced at a rate approximately proportional to muscle mass and cleared predominantly by glomerular filtration. Estimated glomerular filtration rate is calculated from serum creatinine with adjustments for age and sex, which function as population-average proxies for muscle mass.1

When actual muscle mass falls, creatinine production falls, serum concentration falls, and the equation reports a higher estimated filtration rate. The magnitude is not trivial: a loss of four to five kilograms of lean tissue can shift estimated filtration rate upward by several millilitres per minute per 1.73 square metres with no change in the kidney whatever. The effect runs in the reassuring direction, which is why it is rarely questioned.

The check is cystatin C, a low-molecular-weight protein produced by all nucleated cells at a rate largely independent of muscle mass. Where creatinine-based and cystatin C-based estimates diverge substantially during rapid weight loss, the divergence is itself informative, and combined equations using both are available and better validated than either alone. Cystatin C has its own confounders — corticosteroids, thyroid dysfunction and adiposity all affect it — which is why the recommendation is to read the two together rather than to substitute one for the other.

What the renal outcome trial measured

The renal outcome programme in type 2 diabetes with chronic kidney disease is the only trial in this class designed with kidney endpoints as its primary purpose. It randomised participants with established chronic kidney disease and reported a reduction in a composite of kidney disease progression, kidney death and cardiovascular death, together with a slower annual decline in estimated glomerular filtration rate, over a median follow-up of several years.2

Two features of the eGFR data matter for anybody reading a panel. There is an initial dip in estimated filtration rate on starting treatment, of the order of one millilitre per minute per 1.73 square metres, which resolves and is followed by a slower long-term decline than in the comparator arm. That pattern — an acute dip followed by long-term preservation — is familiar from other renoprotective drug classes and is generally understood as a haemodynamic effect rather than injury.

The practical implication is that a small fall in eGFR in the first months of treatment is expected and is not evidence of harm, while a large fall is not expected and is. Distinguishing them requires knowing the reference change value for creatinine, which is around fourteen per cent, and knowing whether the person has been vomiting, which changes everything.

The earlier cardiovascular outcome trials in the class carried renal composites as secondary endpoints and reported reductions in new or worsening nephropathy driven largely by albuminuria, which is a weaker endpoint than the eGFR-based composites of the dedicated renal trial.34 Anybody quoting renal benefit from those programmes should say which component of which composite they mean.

Half of an HbA1c comes from the preceding month. A panel drawn four weeks after stopping is measuring the treatment period.

On the lag

Why the transaminases fall

The fall in alanine aminotransferase during successful treatment is one of the few laboratory movements in this field with a directly demonstrated mechanism, because liver fat was measured by imaging in several programmes rather than inferred from enzymes. A trial of semaglutide in biopsy-confirmed steatohepatitis reported resolution of steatohepatitis without worsening of fibrosis in a substantially greater proportion of treated participants than placebo, with corresponding falls in transaminases.5 The larger phase 3 programme in the same indication subsequently reported histological improvement on both resolution and fibrosis endpoints.6

Alongside that sits the imaging evidence from the diabetes programme, where liver fat content measured by magnetic resonance fell considerably more on a dual agonist than on insulin at broadly comparable glycaemic control, which separates the hepatic effect from the glycaemic one.

What this establishes is that the falling ALT is tracking a real change in the liver rather than reflecting reduced enzyme release for some incidental reason. What it does not establish is how much of the change is attributable to the weight loss and how much to a direct hepatic effect, since the two are not separable in a trial where the treated arm also lost more weight.

Assay windows: how far back each measurement looks
MeasurementIntegration windowWeighting
Fasting glucoseHoursInstantaneous, high day-to-day variation
Glycated albumin2–3 weeksRoughly even
Fructosamine2–3 weeksRoughly even
HbA1c≈120 days≈50% from the preceding month
Continuous glucose metricsThe wear periodDirect, minute by minute
The weighting column is why HbA1c measured monthly produces overlapping windows rather than independent observations, and why the pivotal trials scheduled it quarterly.

Asymptomatic pancreatic enzyme elevation

Amylase and lipase rise modestly on treatment with this drug class, by something in the region of ten to twenty per cent on average, and elevations above the upper reference limit are more common on drug than on placebo. This has been characterised most thoroughly in the liraglutide cardiovascular outcome programme, which followed more than nine thousand participants for a median of 3.8 years and therefore had the events to adjudicate.7 A dedicated analysis within it found higher mean enzyme concentrations on treatment with no corresponding excess of adjudicated acute pancreatitis, and concluded that the elevations had no useful predictive value for the clinical event.8

The diagnostic threshold for acute pancreatitis is a lipase above three times the upper reference limit in the presence of characteristic abdominal pain, or imaging evidence. Both limbs are required. A lipase of twice the upper limit in an asymptomatic person on treatment is a common finding with no established significance, and investigating it as though it were the first limb of a diagnosis produces imaging, anxiety and no information.

The Journal notes that this is one of the few places in this subject where the trial evidence is genuinely clarifying: somebody asked the question directly, measured the enzymes systematically, adjudicated the clinical events independently, and reported that the two did not track. That is what a useful safety analysis looks like.

The lipid panel: what moves, and because of what

During substantial weight loss on these agents, triglycerides fall markedly — reductions of the order of twenty per cent are reported in the obesity programmes — high-density lipoprotein cholesterol rises modestly, and low-density lipoprotein cholesterol falls only slightly.9 That pattern is the signature of weight loss and improved insulin sensitivity rather than of a lipid-lowering drug effect, and it is worth saying so, because the class is sometimes described as though it were one.

Two measurement points matter. Triglycerides have large within-person biological variation, with a reference change value above thirty per cent, so an individual fall of twenty per cent between two panels may be noise even though the group mean fall of twenty per cent in a trial is a solid finding. And fasting is no longer required for routine lipid assessment; non-fasting samples differ trivially for total and LDL cholesterol and modestly for triglycerides, and international consensus has favoured non-fasting measurement for a decade.10

Lipoprotein(a) is worth a separate sentence because it is the exception. It is largely genetically determined, changes little with weight loss, and if it is going to be measured at all it needs measuring once rather than monitored. A person expecting it to improve alongside everything else will be disappointed by a result that was never going to move.

Two departments meet in this subject and it is worth saying which is which. What a test measures and how it behaves is a laboratory-medicine question and belongs here. What to do about a result is a clinical question and belongs with somebody who has examined the person. The Journal reports the first and declines the second, including when readers send us their results and ask.

References

  1. Inker LA, Eneanya ND, Coresh J, et al. “New Creatinine- and Cystatin C–Based Equations to Estimate GFR without Race.” New England Journal of Medicine. 2021;385(19):1737–1749.
  2. Perkovic V, Tuttle KR, Rossing P, et al. “Effects of Semaglutide on Chronic Kidney Disease in Patients with Type 2 Diabetes.” New England Journal of Medicine. 2024;391(2):109–121.
  3. Marso SP, Bain SC, Consoli A, et al. “Semaglutide and Cardiovascular Outcomes in Patients with Type 2 Diabetes.” New England Journal of Medicine. 2016;375(19):1834–1844.
  4. Gerstein HC, Colhoun HM, Dagenais GR, et al. “Dulaglutide and cardiovascular outcomes in type 2 diabetes (REWIND): a double-blind, randomised placebo-controlled trial.” Lancet. 2019;394(10193):121–130.
  5. Newsome PN, Buchholtz K, Cusi K, et al. “A Placebo-Controlled Trial of Subcutaneous Semaglutide in Nonalcoholic Steatohepatitis.” New England Journal of Medicine. 2021;384(12):1113–1124.
  6. Sanyal AJ, Newsome PN, Kliers I, et al. “Phase 3 Trial of Semaglutide in Metabolic Dysfunction–Associated Steatohepatitis.” New England Journal of Medicine. 2025;392(21):2089–2099.
  7. Marso SP, Daniels GH, Brown-Frandsen K, et al. “Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes.” New England Journal of Medicine. 2016;375(4):311–322.
  8. Steinberg WM, Buse JB, Ghorbani MLM, Ørsted DD, Nauck MA. “Amylase, Lipase, and Acute Pancreatitis in People With Type 2 Diabetes Treated With Liraglutide: Results of the LEADER Trial.” Diabetes Care. 2017;40(7):966–972.
  9. Wilding JPH, Batterham RL, Calanna S, et al. “Once-Weekly Semaglutide in Adults with Overweight or Obesity.” New England Journal of Medicine. 2021;384(11):989–1002.
  10. Nordestgaard BG, Langsted A, Mora S, et al. “Fasting is not routinely required for determination of a lipid profile: clinical and laboratory implications.” European Heart Journal. 2016;37(25):1944–1958.

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