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Pharmacology · Pharmacokinetics · continued

Time to steady state after a dose increase posts 61–90

This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1.

JM
j.moreauTL24 Nov 2024#61

Between-person variability in exposure is substantial and is the reason two people on the same dose can have quite different plasma concentrations. That is inherent rather than a formulation defect.

That holds for the case as described. Change the assumptions and it may not.

5 likes 21mo
BV
bias_varianceTL4Biostatistician4 Nov 2024#62

Worth separating two things that post #58 runs together.

A missed weekly dose perturbs a slowly moving average rather than creating a trough. That is the pharmacokinetic reason the labelling does not recommend doubling.

14 likes 21mo
MS
m.steinerTL24 Nov 2024#63
Nicolaides, post #22: Accumulation at steady state: with a week-long half-life, steady-state concentration is reached around 4 to 5 half-lives (about 4 to 5 weeks). Before that, concentration is rising with each dose. The clinical implication: escalating before 4 weeks means escalating before steady state. Go to post

Washout after stopping takes roughly the same four to five half-lives as reaching steady state. A month after the last dose is not the same as none.

Adding it in case it saves somebody the afternoon it cost me.

29 likes in reply to #22 21mo
FD
f.demirTL24 Nov 2024#64
NL
n.laurentTL24 Nov 2024 · edited#65

Picking up post #63: that is the part I would want checked first.

Metabolism for peptide drugs is proteolytic rather than hepatic in the usual sense, which is why the cytochrome interaction questions that dominate small-molecule pharmacology mostly do not apply.

2 likes 21mo
CR
compounding_ruthTL4Pharmacist4 Nov 2024#66

Reading back through, this was answered upthread and I missed it. My fault.

9 likes 21mo
HD
h.delgadoTL24 Nov 2024#67
weekly_pin, post #30: Post #26 describes the usual case. This is about the unusual one. Between-person variability in exposure is substantial and is the reason two people on the same dose can have quite different plasma concentrations. That is inherent rather than a formulation defect. I would put a moderate confidence on that and no more. Go to post

Dose proportionality across the studied range means dose arithmetic behaves the way you would naively expect. It is worth checking whether it holds for a given compound rather than assuming.

That is the practical version. The rigorous version is longer and says the same thing.

21 likes in reply to #30 21mo
IT
impurity_tableTL3Analytical chemist4 Nov 2024#68

The time to maximum concentration after a subcutaneous dose in this class is measured in days rather than hours, which surprises people expecting an injection to act quickly.

I would be interested in a counterexample if anyone has one.

0 likes 21mo
HF
h.friskTL24 Nov 2024#69
GP
g.pemberton_ukTL3Regional · UK4 Nov 2024#70
f.demir, post #64: A pharmacokinetic model fitted to trial data describes the population studied. Applying it to somebody outside the enrolled range is an extrapolation, and the model will not tell you it is. I would not lead a decision with this, but I would not ignore it either. Go to post

Volume of distribution: the theoretical volume the drug distributes into. For albumin-binding compounds, volume is reduced compared to drugs that do not bind protein. That is relevant to understanding how much free drug is available.

I would want a second opinion before relying on that.

5 likes in reply to #64 21mo
BC
b.correiaTL24 Nov 2024#71

Accumulation at steady state: with a week-long half-life, steady-state concentration is reached around 4 to 5 half-lives (about 4 to 5 weeks). Before that, concentration is rising with each dose. The clinical implication: escalating before 4 weeks means escalating before steady state.

2 likes 21mo
NR
n.rowntreeTL3Regular4 Nov 2024#72
h.kimani, post #39: Worth separating two things that post #37 runs together. The time to maximum concentration after a subcutaneous dose in this class is measured in days rather than hours, which surprises people expecting an injection to act quickly. I have no interest in any supplier named above. Go to post

Loading doses are not used in this class and the pharmacokinetic reason is tolerability rather than efficacy. A loading dose would reach steady state faster and would be intolerable.

Posting it because the silence on this was starting to look like agreement.

0 likes in reply to #39 21mo
RB
r.bakkenTL24 Nov 2024#73

Worth separating two things that post #70 runs together.

Area under the curve is the exposure measure that matters for most effects in this class. Peak concentration matters more for tolerability.

27 likes 21mo
TT
titrate_traceTL1Member4 Nov 2024#74

Where two sources give different half-lives, check the study design before deciding either is wrong. Sampling duration, assay sensitivity and population all move the number.

13 likes 21mo
EF
e.ferreiraTL3Regular4 Nov 2024#75
n.laurent, post #65: Picking up post #63: that is the part I would want checked first. Metabolism for peptide drugs is proteolytic rather than hepatic in the usual sense, which is why the cytochrome interaction questions that dominate small-molecule pharmacology mostly do not apply. Go to post

Half-life: semaglutide ≈ 165–184 hours (about a week). Tirzepatide ≈ 5 days. Liraglutide ≈ 13 hours. The half-life determines how much accumulation happens at steady state and how long it takes to clear after stopping.

A guess, clearly labelled as one.

0 likes in reply to #65 21mo
K
KAnderssonTL3Regular4 Nov 2024#76
s.roos, post #50: Post #48 and I disagree about the size of the effect, not about the direction. Individual variation: people vary in how quickly they absorb, distribute, metabolise, and excrete these compounds. That variation is partly genetic and partly due to individual biology (gut motility, kidney and liver function). It explains why two people on… Go to post

Post #73 answers the question as asked. The question underneath it is different.

Metabolism for peptide drugs is proteolytic rather than hepatic in the usual sense, which is why the cytochrome interaction questions that dominate small-molecule pharmacology mostly do not apply.

Worth checking against a second source before it gets quoted onward.

0 likes in reply to #50 21mo
EN
e.ndiayeTL24 Nov 2024#77

That matches what I have seen, for whatever a single anecdote is worth.

20 likes 21mo
DS
d.szymanskiTL3Wiki editor4 Nov 2024#78

Renal clearance: these compounds are cleared partly via the kidney. In severe renal impairment, clearance is slowed and accumulation risk is higher. Dose adjustments might be needed.

It is the kind of thing that is obvious once and never again.

8 likes 21mo
MA
m.adebayoTL24 Nov 2024#79
g.ekstrom, post #44: Helpful, and short, which on this subject is harder than long. Go to post

Everything in post #78 holds. The case it does not cover is the one I have.

A pharmacokinetic model fitted to trial data describes the population studied. Applying it to somebody outside the enrolled range is an extrapolation, and the model will not tell you it is.

Nothing above should be read as advice about what anyone else should do.

0 likes in reply to #44 21mo
VD
vial_deskTL3Regular4 Nov 2024#80

Narrowing post #78, because the general version has more than one answer.

Volume of distribution: the theoretical volume the drug distributes into. For albumin-binding compounds, volume is reduced compared to drugs that do not bind protein. That is relevant to understanding how much free drug is available.

28 likes 21mo
UC
unit_conversionTL3Regular4 Nov 2024#81

Steady state is approached in roughly four to five half-lives. For a compound with a week-long half-life that is four to five weeks, which is where the escalation interval in the trials comes from.

9 likes 21mo
MB
m.balogunTL24 Nov 2024#82

Body weight affects volume of distribution and therefore exposure at a fixed dose. Whether that translates into a dosing implication depends on the width of the therapeutic window.

21 likes 21mo
QZ
q.zhao_qaTL3Quality assurance4 Nov 2024#83
b.demir, post #17: Everything in post #15 holds. The case it does not cover is the one I have. Metabolism for peptide drugs is proteolytic rather than hepatic in the usual sense, which is why the cytochrome interaction questions that dominate small-molecule pharmacology mostly do not apply. Scoping that to what I have actually seen rather than what I have… Go to post

Adding the measurement that post #82 says would settle it.

Area under the curve is the exposure measure that matters for most effects in this class. Peak concentration matters more for tolerability.

Worth saying I have only my own numbers here, and n is small.

0 likes in reply to #17 21mo
IL
i.lehtinenTL24 Nov 2024 · edited#84
e.mwangi, post #35: Between-person variability in exposure is substantial and is the reason two people on the same dose can have quite different plasma concentrations. That is inherent rather than a formulation defect. I would treat the number as indicative rather than as a measurement. Go to post

Post #80 describes the usual case. This is about the unusual one.

Metabolism for peptide drugs is proteolytic rather than hepatic in the usual sense, which is why the cytochrome interaction questions that dominate small-molecule pharmacology mostly do not apply.

If it helps: the failure mode here is usually boring rather than dramatic.

2 likes in reply to #35 21mo
KO
k.otieno_statsTL3Statistician4 Nov 2024#85

Agreed on all of that, and I have nothing to add to it.

14 likes 21mo
ES
e.steinerTL24 Nov 2024#86

Individual variation: people vary in how quickly they absorb, distribute, metabolise, and excrete these compounds. That variation is partly genetic and partly due to individual biology (gut motility, kidney and liver function). It explains why two people on the same dose have different response magnitudes.

29 likes 21mo
SS
system_suitabilityTL3Analytical chemist4 Nov 2024#87
f.fenwick, post #8: A missed weekly dose perturbs a slowly moving average rather than creating a trough. That is the pharmacokinetic reason the labelling does not recommend doubling. I am confident about the direction and much less about the magnitude. Go to post

Volume of distribution: the theoretical volume the drug distributes into. For albumin-binding compounds, volume is reduced compared to drugs that do not bind protein. That is relevant to understanding how much free drug is available.

0 likes in reply to #8 21mo
NI
n.ibarraTL24 Nov 2024#88

Answering the question post #84 raises rather than the one it answers.

Bioavailability: oral semaglutide has low bioavailability (roughly 1%) due to peptide instability. That is why the oral dose (14 mg) is so much larger than the injectable dose. Comparing them by mass is meaningless.

Take it as a starting point and not as a specification.

5 likes 21mo
CP
citation_peakTL3Regular4 Nov 2024#89

Taking post #86 at face value and following it one step further.

A pharmacokinetic model fitted to trial data describes the population studied. Applying it to somebody outside the enrolled range is an extrapolation, and the model will not tell you it is.

Written in the hope of being told what I have missed.

21 likes 21mo
MN
ma.nascimentoTL24 Nov 2024#90
k.kimani, post #7: Taking post #6 at face value and following it one step further. Volume of distribution: the theoretical volume the drug distributes into. For albumin-binding compounds, volume is reduced compared to drugs that do not bind protein. That is relevant to understanding how much free drug is available. Go to post

Where two sources give different half-lives, check the study design before deciding either is wrong. Sampling duration, assay sensitivity and population all move the number.

Two people can read the same figure differently here and both be reasonable.

0 likes in reply to #7 21mo