Evidence map›Paper›PMID 28643108›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2017

Integrated TK-TD modeling for drug-induced concurrent tachycardia and QT changes in beagle dogs.

Fan Wu, Tycho Heimbach, Panos Hatsis, Hai-Ming Tang, Raviprakash Dugyala, Qin Yue, Tao Wang, Handan He

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 3 countries.

Fan WuDepartment of PK Sciences, Novartis Institutes for BioMedical Research, 1 Health Plaza, East Hanover, NJ, USA. fan.wu@novartis.com.ORCID http://orcid.org/0000-0001-8339-4049
Tycho HeimbachDepartment of PK Sciences, Novartis Institutes for BioMedical Research, 1 Health Plaza, East Hanover, NJ, USA.
Panos HatsisDepartment of PK Sciences, Novartis Institutes for BioMedical Research, 1 Health Plaza, East Hanover, NJ, USA.
Hai-Ming TangDepartment of Preclinical Safety, Novartis Institutes for BioMedical Research, 1 Health Plaza, East Hanover, NJ, USA.
Raviprakash DugyalaDepartment of Preclinical Safety, Novartis Institutes for BioMedical Research, 1 Health Plaza, East Hanover, NJ, USA.
Qin YueDepartment of PK Sciences, Novartis Institutes for BioMedical Research, 5300 Chiron Way, Emeryville, CA, USA.
Tao WangDepartment of Preclinical Safety, Novartis Institutes for BioMedical Research, 5300 Chiron Way, Emeryville, CA, USA.
Handan HeDepartment of PK Sciences, Novartis Institutes for BioMedical Research, 1 Health Plaza, East Hanover, NJ, USA.
Foundation for Biomedical Research · USNovartis (United States) · USNovartis (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced cardiotoxicity, including tachycardia and QT prolongation, remains a major safety concern that needs to be identified and its risk mitigated in early stages of drug development. In the present study, an integrated toxicokinetic-toxicodynamic (TK-TD) modeling approach within a nonlinear mixed-effect modeling framework is applied to investigate concurrent abnormal heart rate and QT changes in three beagle dogs, using a Novartis internal compound (NVS001) as the case example. By accounting for saturable drug absorption, circadian rhythms, drug-effect tolerance, and nonlinear rate-dependency of QT interval, the dynamic TK-TD model captures the experimentally observed drug effects on heart rate and QT interval across a wide dosing range of NVS001 in beagle dogs. Further analyses reveal that the NVS001-induced QT prolongation observed in the low-dose groups is potentially caused by direct drug inhibition on the hERG channel, while the apparent QT shortening in the high-dose groups may be due to strong rate-dependency of QT at high heart rates. This study also suggests that the TK-TD model can be used to identify direct drug effects on the non-rate-dependent QT component by dissociating QT changes from tachycardia and deriving a new QT correction method. The integrated TK-TD model presented here may serve as a novel quantitative framework for evaluating drug-induced concurrent changes in heart rate and QT to potentially facilitate preclinical and clinical safety studies.

Indexed as

Models, BiologicalAcetatesAnimalsDogsDose-Response Relationship, DrugElectrocardiographyMaleNonlinear DynamicsTachycardiaThiazoles2-(4-((4-(6-methoxy-3-pyridinyl)-5-(4-(trifluoromethoxy)phenyl)-2-thiazolyl)methoxy)-2-methylphenoxy)acetic acidAcetatesThiazolesHeart rateNLMENonlinear rate-dependencyPopulation PK–PD modelingQT/QTc

Identifiers

PMID28643108
OpenAlexW2682517679

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.