Evidence map›Paper›PMID 42729281›Full record

ArticleFrontiers in pharmacology2026

A microdose cocktail and population pharmacokinetic study suggests potentially reduced CYP3A and P-gp activities in type 2 diabetes.

Yafen Li, Jin Yang, Enda Zhou, Kuo Geng, Zihan Lei, Xueting Yao, Feifei Feng, Yuyan Jin, Weijie Kong, Yiyi Hu and 5 more

Abstract read
In one paragraph

Article in Frontiers in 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

15 authors.

Yafen Li *Drug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Jin Yang *Department of Endocrinology and Metabolism, Peking University Third Hospital, Beijing, China.
Enda ZhouDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Kuo GengDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Zihan LeiDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Xueting YaoDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Feifei FengDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Yuyan JinDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Weijie KongDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Yiyi HuDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Hao LiangDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Haiyan LiDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Guo-Ping YangCenter of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China.
Tianpei HongDepartment of Endocrinology and Metabolism, Peking University Third Hospital, Beijing, China.
Dongyang LiuDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.

Funding

Bill & Melinda Gates Foundation INV-007625
6 · The paper itself

Abstract

Background: Diabetes patients often exhibit suboptimal efficacy and adverse reactions, accompanied by pharmacokinetic (PK) changes, indicating drug-metabolizing enzymes and transporters (DMET) activities may change. This study aimed to determine whether type 2 diabetes affects DMET activities and quantify impact magnitude. Furthermore, gut microbiome, pharmacogenetic and demographic characteristics were assessed to elucidate the sources of inter-individual variability (IIV) in DMET activities. Methods: The activities of CYP3A and transporters P-gp, OATP and BCRP were evaluated in type 2 diabetes patients and healthy volunteers (HVs) following a single oral dose of five probe drugs (midazolam, dabigatran etexilate, pitavastatin, rosuvastatin, and atorvastatin). Population pharmacokinetics (PopPK) and an exploratory machine learning (ML) analysis were employed to quantify the impact of type 2 diabetes on DMET activities. Results: Based on observed PK parameters, compared to HVs, type 2 diabetes patients exhibited increased exposure to midazolam (1.38-fold), dabigatran (1.40-fold), and atorvastatin (1.93-fold), whereas pitavastatin (0.931-fold) and rosuvastatin (1.25-fold) showed no change. PopPK analysis revealed that the mean activities of CYP3A and P-gp were potentially decreased by 23% and 27%, respectively, in type 2 diabetes patients, while no changes for OATP and BCRP. Notably, unlike the direct patient population covariate for P-gp, reduced CYP3A activity was indirectly estimated from lower Conclusion: The findings regarding altered DMET activities and identified influence factors help to identify specific drug classes that may warrant closer clinical attention in type 2 diabetes patients.

Indexed as

CYP3A and transportersmathematical modelingmicrodose cocktailpharmacokineticstype 2 diabetes

Identifiers

PMID42729281
PMCPMC13561922

What Socratic holds

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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 Socratic graph.