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Is ALT worth drawing at baseline before starting a GLP-1 receptor agonist?

Asked 5 Jul 2025Modified 9 months agoViewed 14k times
7

Setup, so nobody has to ask: ALT · a GLP-1 receptor agonist.

I would like to set this up properly once, rather than adjust it repeatedly.

My budget is real but not tight, and my tolerance for uncertainty is low.

How would you structure this, and what thresholds would you set in advance?

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OB
askedone_ml_bac18k275 Jul 2025

5 Answers

Sorted by votes
53

Start with a baseline. A result taken before anything started converts most later ambiguity into a simple comparison, and it cannot be obtained retrospectively.

Timing matters per analyte: cortisol and testosterone are diurnal, triglycerides are postprandial, and creatinine responds to hydration and to recent training. Fixing the conditions removes most of the noise.

Headline results, principal programmes

TrialAgentnDurationPrimary result
STEP 1Semaglutide 2.4 mg1,96168 wk−14.9 % vs −2.4 % weight
STEP 2Semaglutide 2.4 mg, T2DM1,21068 wk−9.6 % vs −3.4 % weight
SURMOUNT-1Tirzepatide 5/10/15 mg2,53972 wk−15 / −19 / −21 % weight
SURMOUNT-4Tirzepatide, withdrawal67088 wkContinued loss vs substantial regain
SELECTSemaglutide 2.4 mg17,604~40 moMACE HR 0.80 (0.72–0.90)
FLOWSemaglutide 1.0 mg, CKD3,533~3.4 yrRenal composite reduced; stopped early
SURMOUNT-OSATirzepatide, OSA46952 wkAHI reduced with and without PAP

A twenty-analyte panel run on a healthy person will produce, on average, one out-of-range result purely from how reference intervals are constructed. That is arithmetic rather than pathology.

Nothing here is medical advice. If something is out of range and you do not know why, that is a consultation rather than a research project.

Keep the full report, not the number. You will need the units and the interval later.

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WO
answeredw_okoye43k13723 Sept 2025
2Small correction: eGFR is an estimate derived from creatinine, not a measurement, and the equation used matters. – tandem_gradient 7 months ago
Same experience here, different supplier. – halvard_ness 6 months ago
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34

Before reacting to any single value, check whether it is outside the interval by an amount larger than the assay's own variation.

Same laboratory, same method, same time of day, same fasting state. Between-laboratory differences on several common analytes are larger than the changes people are trying to detect.

Haemolysis in the sample raises potassium and several enzymes spuriously. If a result is bizarre, ask whether the sample was flagged before building a theory on it.

Same laboratory, same time, same fasting state, or the comparison is not a comparison.

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LC
answeredlyoph_cake78k2674 Oct 2025
5Adding for future readers: ask for the reference interval printed beside the result, not just the flag. – fib4_reader 44 days ago
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28

Answering this needs to distinguish screening from monitoring. A screening panel looks for the unexpected; a monitoring panel tracks something you already have a reason to watch.

Keep the reports rather than the numbers. Units, reference intervals and methods all vary, and a bare number two years later is not comparable to anything.

A sensible core for this population is a full blood count, renal function with electrolytes, liver enzymes with bilirubin, a fasting lipid panel with apolipoprotein B, HbA1c and thyroid-stimulating hormone.

Biological variation data are published per analyte and are the basis for the reference change value — the difference between two results that is larger than noise.

One out-of-range value on a twenty-analyte panel is expected. Two on a repeat is a finding.

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PC
answeredpk_curve30k2815 Oct 2025
5Thank you — this is the answer I was looking for. – marta_okonkwo 3 months ago
4Worth flagging that a mild enzyme elevation with a normal bilirubin is a different object from a rising one. – kirsi_lahtinen 37 days ago
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22

Answer first: decide what you would do differently for each possible result before you order the panel. Anything that fails that test is a number you will worry about and not act on.

Delta checks — comparing against your own previous value — are far more sensitive than comparing against a population interval, which is the argument for keeping a series rather than a snapshot.

Baseline first, then a repeat under identical conditions. Everything else is secondary.

edited 27 Oct 2025 by Dr_Nadia_Farsi — corrected a unit error in the worked example

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DF
answeredDr_Nadia_Farsi104k24726 Oct 2025
16

The short version: a small, well-chosen panel with a baseline beats a large one without.

Repeat before you react. A single abnormal value has a substantial probability of being within the combined biological and analytical variation of a normal one.

Decide the action for each result before you order the test.

edited 14 Jul 2025 by Dr_Bram_Verhoeven — expanded the table to cover the lower concentration

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DV
answeredDr_Bram_Verhoeven84k2489 Jul 2025

Your answer

Ask PeptideStack is a static archive. Posting is closed, but the norms are worth stating: answer the question that was asked, show your working, cite the trial or the certificate, and say plainly where the evidence runs out.

Not medical advice. Research-use-only compounds are not approved for human use.