Evidence map›Paper›PMID 33123802›Full record

Trial reportPharmaceutical research2020

Negative Food Effect of Danirixin: Use of PBPK Modelling to Explore the Effect of Formulation and Meal Type on Clinical PK.

Richard S Lloyd, Martin I Hingle, Jackie C Bloomer, Stephen J Charles, James M Butler, Alan Paul, Xiaofeng Zhu, Bruce Miller, Donald D'Amico, Alison Donald and 2 more

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

Trial report in Pharmaceutical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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

12 authors at 2 institutions in 2 countries.

Richard S LloydMedicinal Science and Technology, GlaxoSmithKline R&D, Park Road, Hertfordshire, UK.
Martin I HingleMedicinal Science and Technology, GlaxoSmithKline R&D, Park Road, Hertfordshire, UK.
Jackie C BloomerMedicinal Science and Technology, GlaxoSmithKline R&D, Park Road, Hertfordshire, UK.
Stephen J CharlesMedicinal Science and Technology, GlaxoSmithKline R&D, Park Road, Hertfordshire, UK.
James M ButlerMedicinal Science and Technology, GlaxoSmithKline R&D, Park Road, Hertfordshire, UK.
Alan PaulMedicinal Science and Technology, GlaxoSmithKline R&D, Park Road, Hertfordshire, UK.
Xiaofeng ZhuMedicinal Science and Technology, GlaxoSmithKline R&D, Collegeville, Pennsylvania, USA.
Bruce MillerRespiratory Therapy Area Unit, GlaxoSmithKline R&D, King of Prussia, Pennsylvania, USA.
Donald D'AmicoRespiratory Therapy Area Unit, GlaxoSmithKline R&D, King of Prussia, Pennsylvania, USA.
Alison DonaldRespiratory Therapy Area Unit, GlaxoSmithKline R&D, King of Prussia, Pennsylvania, USA.
Ruth Tal-SingerMedical Innovation, GlaxoSmithKline R&D, Collegeville, Pennsylvania, USA.
Claire AmberyClinical Pharmacology and Modelling Simulation, GlaxoSmithKline R&D, 980 Great West Road, TW8 9GS, Brentford, UK. Claire.l.ambery@gsk.com.ORCID http://orcid.org/0000-0002-7988-1888
GlaxoSmithKline (United Kingdom) · GBGlaxoSmithKline (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo use physiologically-based pharmacokinetic (PBPK) modelling to explore the food effect of different DNX hydrobromide (HBr) hemihydrate salt tablet formulations using biorelevant dissolution.

methodsCompendial dissolution using a paddle method and TIM-1 biorelevant dissolution were performed and incorporated into a previously reported PBPK model. A two-part clinical study evaluated tablet formulations in the fasted/fed (high fat) state (Part A), and the impact of food (fasted/normal/high fat) and Proton Pump Inhibitor (PPI) co-administration for a selected formulation; as well as a formulation containing DNX HBr in the monohydrate state (Part B).

resultsTIM-1 data showed that the fed state bioaccessibility of DNX was significantly decreased compared to the fasted state with no significant differences between formulations. Dosed with normal/high fat food the selected formulation showed comparable exposure and a modest increase in DNX systemic PK was observed with PPI dependent on meal type. Under fed conditions DNX systemic exposure was comparable for the monohydrate and hemihydrate formulations. The integration of biorelevant TIM-1 data into the PBPK model led to the successful simulation of a DNX negative food effect.

conclusionsInteractions between DNX and food components are the likely the source of the negative food effect via micellar entrapment, ion pairing and/or meal induced viscosity changes.

Indexed as

Food-Drug InteractionsModels, BiologicalAdministration, OralAgedAged, 80 and overBiological AvailabilityComputer SimulationCross-Over StudiesFastingFemaleGastric EmptyingHealthy VolunteersHumansIntestinal AbsorptionMalePiperidinesdanirixinPiperidinesProton Pump InhibitorsSulfonesTabletsbiorelevant dissolutionclinical studynegative food effectPBPK modellingproton pump inhibitor

Identifiers

PMID33123802
OpenAlexW3095598554

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.