Evidence map›Paper›PMID 39789999›Full record

ArticleClinical pharmacology and therapeutics2025

Microdose Cocktail Study Reveals the Activity and Key Influencing Factors of OATP1B, P-Gp, BCRP, and CYP3A in End-Stage Renal Disease Patients.

Weijie Kong, Yuejuan Pan, Yujie Wu, Yiyi Hu, Zhenbin Jiang, Xinkui Tian, Shuhong Bi, Song Wang, Feifei Feng, Yuyan Jin and 6 more

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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

16 authors.

Weijie Kong *Department of Nephrology, Peking University Third Hospital, Beijing, China.
Yuejuan Pan *Department of Nephrology, Peking University Third Hospital, Beijing, China.
Yujie Wu *Department of Nephrology, Peking University Third Hospital, Beijing, China.
Yiyi HuDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Zhenbin JiangDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Xinkui TianDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Shuhong BiDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Song WangDepartment of Nephrology, 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.
Jiayu LiDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Haiyan LiDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Yue WangDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Hao LiangDepartment of Nephrology, Peking University Third Hospital, Beijing, China.ORCID 0000-0003-4382-3704
Wen TangDepartment of Nephrology, Peking University Third Hospital, Beijing, China.ORCID 0000-0002-2263-2979
Dongyang LiuDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.ORCID 0000-0002-0608-8192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OATP1B, P-gp, BCRP, and CYP3A are the most contributing drug-metabolizing enzymes or transporters (DMETs) for commonly prescribed medication. Their activities may change in end-stage renal disease (ESRD) patients with large inter-individual variabilities (IIVs), leading to altered substrate drug exposure and ultimately elevated safety risk. However, the changing extent and indictive influencing factors are not quantified so far. Here, a microdose cocktail regimen containing five sensitive substrate drugs (pitavastatin, dabigatran etexilate, rosuvastatin, midazolam, and atorvastatin) for these DMETs was administrated to Chinese healthy volunteers and ESRD patients. Drug pharmacokinetics profiles were determined, together with physiological, pharmacogenetic, and gut microbiome signature. Population pharmacokinetic and machine learning model were established to identify key influencing factors and quantify their contribution to drug exposure change. The exposure of pitavastatin, dabigatran, rosuvastatin, and atorvastatin increased to 1.8-, 3.1-, 1.1-, and 1.3-fold, respectively, whereas midazolam exposure decreased by 72% in ESRD patients. Notably, in addition to disease state, the relative abundance of genus Veillonella and Clostridium_XIVb were firstly identified as significant influencing factors for PTV and RSV apparent clearance, respectively, suggesting their indicative role for OATP and BCRP activity evaluation. Moreover, several genera were found to strongly associate with drug clearance and reduce unexplained IIVs. Accordingly, it was estimated that OATP1B and intestine P-gp activity decreased by 35-75% and 29-44%, respectively, whereas BCRP and CYP3A4 activity may upregulate to some extent. Our study provides a quantitative and mechanistic understanding of individual DMET activity and could support precision medicine of substrate drugs in ESRD patients.

Indexed as

ATP Binding Cassette Transporter, Subfamily B, Member 1ATP Binding Cassette Transporter, Subfamily G, Member 2Cytochrome P-450 CYP3AKidney Failure, ChronicLiver-Specific Organic Anion Transporter 1Neoplasm ProteinsAdultAgedFemaleGastrointestinal MicrobiomeHumansMaleMidazolamMiddle AgedRosuvastatin CalciumYoung AdultABCG2 protein, humanATP Binding Cassette Transporter, Subfamily B, Member 1ATP Binding Cassette Transporter, Subfamily G, Member 2CYP3A protein, humanCytochrome P-450 CYP3ALiver-Specific Organic Anion Transporter 1MidazolamNeoplasm ProteinsRosuvastatin CalciumSLCO1B1 protein, human

Identifiers

PMID39789999
PMCPMC11993298

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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.