Evidence map›Paper›PMID 33070288›Full record

Trial reportThe AAPS journal2020

Physiologically Based Pharmacokinetic Modeling of Oral Absorption, pH, and Food Effect in Healthy Volunteers to Drive Alpelisib Formulation Selection.

Monika Gajewska, Lars Blumenstein, Alexandros Kourentas, Martin Mueller-Zsigmondy, Sebastien Lorenzo, Angela Sinn, Maria Velinova, Tycho Heimbach

Abstract readClinical Trial, Phase IRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in The AAPS journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Monika GajewskaPK Sciences, Translational Medicine, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Lars BlumensteinPK Sciences, Translational Medicine, Novartis Institutes for BioMedical Research, Basel, Switzerland.
Alexandros KourentasARD Dissolution & Biopharmaceutics, Novartis Pharma AG, Basel, Switzerland.
Martin Mueller-ZsigmondyARD Dissolution & Biopharmaceutics, Novartis Pharma AG, Basel, Switzerland.
Sebastien LorenzoPharmacometrics, Novartis Pharma AG, Basel, Switzerland.
Angela SinnEarly Phase Clinical Unit, Parexel International GmbH, Berlin, Germany.
Maria VelinovaEarly Development Services, PRA Health Sciences, Groningen, Netherlands.
Tycho HeimbachMRL, Merck & Co., Inc., Kenilworth, New Jersey, USA. Tycho.Heimbach@Merck.com.
Novartis (Switzerland) · CHMerck & Co., Inc., Rahway, NJ, USA (United States) · USNovartis Institutes for BioMedical Research

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A physiologically based pharmacokinetic (PBPK) human model for alpelisib, an oral α-specific class I phosphatidylinositol-3-kinase (PI3K) inhibitor, was established to simulate oral absorption and plasma pharmacokinetics of healthy subjects to allow model-informed drug development. The GastroPlus™ model consisted of an advanced absorption gut model, which was linked to a 2-compartmental model. Systemic clearance and volume of distribution were estimated using population pharmacokinetics (popPK). Various food effect and pH-mediated absorption drug-drug interaction (DDI) scenarios were modeled. In fasted healthy subjects, simulated absorption was lower (ca. 70% for a 300-mg dose) due to pH and bile acid concentration-dependent solubility. Ranitidine showed a significant pH-mediated DDI effect only in the fasted but not fed state. The PBPK model identified that more drug is absorbed in the fed state, and alpelisib intestinal permeability is rate limiting to systemic exposure. Simulations for healthy subject showed a positive food effect with ca. 2-fold increase in plasma Cmax and 1.5-fold increase in AUC0-inf with a meal compared with fasted conditions. The PBPK model was verified using clinical food effect data with pivotal clinical formulation (PCF) and then applied to predict the performance of a commercial formulation (CF) in healthy volunteers. The model successfully predicted the outcome of a clinical bioequivalence study for PCF and CF with included in vitro dissolution data, both fasted and fed state. Estimated predictive errors (based on plasma Cmax, AUC0-t) were equal or below 30%. The alpelisib model for healthy subjects enables future bioequivalence formulation assessments, in fasted, fed, or altered pH conditions. Graphical Abstract.

Indexed as

Food-Drug InteractionsModels, BiologicalAdministration, OralAnimalsArea Under CurveBiological AvailabilityCaco-2 CellsCross-Over StudiesDogsDrug Evaluation, PreclinicalFastingFemaleHealthy VolunteersHumansHydrogen-Ion ConcentrationIntestinal AbsorptionAlpelisibPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsTabletsThiazolesalpelisibbioequivalencebiopharmaceuticsGastroPlus™physiologically based pharmacokinetic(s) modelingproton pump inhibitor DDI

Identifiers

PMID33070288
OpenAlexW3092814297

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.