Evidence map›Paper›PMID 42471740›Full record

ArticleCPT: pharmacometrics & systems pharmacology2026

A Physiologically Based Pharmacokinetic Model to Predict Potential Drug-Drug Interactions of TPN171, a Novel Phosphodiesterase Type 5 Inhibitor.

Guanghui Tian, Tao Chen, Lei Li, Zhiqiang Wang, Hao Yang, Jiaxiang Juan, Yuanqin Duan, Jianghong Pei, Jingying Jia

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Guanghui TianVigonvita Life Sciences co., Ltd., Suzhou, China.ORCID https://orcid.org/0000-0002-7988-5715
Tao ChenShanghai PharmoGo co., Ltd, Shanghai, China.
Lei LiVigonvita Life Sciences co., Ltd., Suzhou, China.
Zhiqiang WangVigonvita Life Sciences co., Ltd., Suzhou, China.
Hao YangVigonvita Life Sciences co., Ltd., Suzhou, China.
Jiaxiang JuanVigonvita Life Sciences co., Ltd., Suzhou, China.ORCID https://orcid.org/0009-0009-5170-9152
Yuanqin DuanVigonvita Life Sciences co., Ltd., Suzhou, China.
Jianghong PeiVigonvita Life Sciences co., Ltd., Suzhou, China.ORCID https://orcid.org/0009-0001-2900-6700
Jingying JiaShanghai Xuhui Central Hospital/Zhongshan-Xuhui Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-2492-3219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TPN171 is a potent phosphodiesterase type 5 inhibitor used to treat pulmonary arterial hypertension and erectile dysfunction, primarily metabolized by CYP3A4. This study aimed to evaluate its drug-drug interaction (DDI) potential and determine the optimal dosing when co-administered with CYP3A4 modulators. A physiologically based pharmacokinetic (PBPK) model was developed and validated using clinical DDI data for itraconazole (strong CYP3A4 inhibitor) and rifampin (strong CYP3A4 inducer). The model was then applied to predict DDIs with moderate (diltiazem, fluconazole) and mild (fluvoxamine) inhibitors, as well as moderate (efavirenz) and mild (zanubrutinib) inducers. Predicted AUC

Indexed as

Cytochrome P-450 CYP3A InducersCytochrome P-450 CYP3A InhibitorsModels, BiologicalPhosphodiesterase 5 InhibitorsAlkynesArea Under CurveBenzoxazinesCyclopropanesCytochrome P-450 CYP3ADiltiazemDrug InteractionsFluconazoleFluvoxamineHumansItraconazoleMaleAlkynesBenzoxazinesCyclopropanesCYP3A4 protein, humanCytochrome P-450 CYP3ACytochrome P-450 CYP3A InducersCytochrome P-450 CYP3A InhibitorsDiltiazemefavirenzFluconazoleFluvoxamineItraconazolePhosphodiesterase 5 InhibitorsRifampinCYP3A4drug–drug interactionsphysiologically based pharmacokinetics

Identifiers

PMID42471740
PMCPMC13380599

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Registered trials

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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.