Evidence map›Paper›PMID 28569994›Full record

ArticleJournal of clinical pharmacology2017

Physiologically Based Pharmacokinetic Modeling for Predicting the Effect of Intrinsic and Extrinsic Factors on Darunavir or Lopinavir Exposure Coadministered With Ritonavir.

Christian Wagner, Ping Zhao, Vikram Arya, Charu Mullick, Kimberly Struble, Stanley Au

Abstract read
In one paragraph

Article in Journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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

6 authors at 1 institution in 1 country.

Christian WagnerDivision of Clinical Pharmacology IV, Office of Clinical Pharmacology, Office of Translational Sciences, CDER, FDA, Silver Spring, MD, USA.
Ping ZhaoDivision of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, CDER, FDA, Silver Spring, MD, USA.
Vikram AryaDivision of Clinical Pharmacology IV, Office of Clinical Pharmacology, Office of Translational Sciences, CDER, FDA, Silver Spring, MD, USA.
Charu MullickDivision of Antiviral Products, Office of Antimicrobial Products, Office of New Drugs, CDER, FDA, Silver Spring, MD, USA.
Kimberly StrubleDivision of Antiviral Products, Office of Antimicrobial Products, Office of New Drugs, CDER, FDA, Silver Spring, MD, USA.
Stanley AuDivision of Clinical Pharmacology IV, Office of Clinical Pharmacology, Office of Translational Sciences, CDER, FDA, Silver Spring, MD, USA.
United States Food and Drug Administration · US

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

Management of comorbidities and medications is complex in HIV-1-infected patients. The overall objective of this project was to develop separate physiologically based pharmacokinetic (PBPK) substrate models for the protease inhibitors darunavir and lopinavir. These protease inhibitors are used in the treatment of HIV infection. Both darunavir and lopinavir are coadministered with another medication that inhibits cytochrome (CYP) 3A. The current project focused on PBPK modeling for darunavir and lopinavir coadministered with ritonavir. Darunavir and lopinavir PBPK models that accounted for ritonavir CYP3A inhibition effects (linked PBPK models) were developed. The linked PBPK models were then used to predict the effect on darunavir or lopinavir exposure from CYP modulators. In the next step, the predicted effect of hepatic impairment was evaluated. Additional exploratory analyses predicted CYP3A inhibition effects on darunavir or lopinavir exposure in simulated hepatically impaired subjects. The linked PBPK models reasonably predicted darunavir or lopinavir exposure based on simulations with CYP inhibitors or inducers. Exploratory simulations using the linked darunavir or lopinavir PBPK models indicated CYP3A inhibition may further increase darunavir or lopinavir exposure in patients with hepatic impairment.

Indexed as

Cytochrome P-450 Enzyme InhibitorsModels, BiologicalAdultCytochrome P-450 Enzyme InducersDarunavirDrug InteractionsFemaleHealthy VolunteersHIV Protease InhibitorsHumansLiver DiseasesLopinavirMaleMiddle AgedRitonavirYoung AdultCytochrome P-450 Enzyme InducersCytochrome P-450 Enzyme InhibitorsDarunavirHIV Protease InhibitorsLopinavirRitonavirdarunavirdrug interactionshepatic impairmentlopinavirphysiologically based pharmacokinetic modelingprotease inhibitors

Identifiers

PMID28569994
PMCPMC5591066
OpenAlexW2621100040

What OpenQuestion holds

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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.