Evidence map›Paper›PMID 35163972›Full record

ArticleMolecules (Basel, Switzerland)2022

The System Profile of Renal Drug Transporters in Tubulointerstitial Fibrosis Model and Consequent Effect on Pharmacokinetics.

Birui Shi, Yan Zhang, Baolin Huang, Huiping Lin, Qiong Zhou, Yujue Wang, Zheng Cai, Menghua Liu

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Renoprotective Effects of Brown-StrainInternational journal of molecular sciences · 2024
    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 2 institutions in 1 country.

Birui ShiBiopharmaceutics, NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China.
Yan ZhangBiopharmaceutics, NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China.
Baolin HuangBiopharmaceutics, NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China.
Huiping LinBiopharmaceutics, NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China.
Qiong ZhouIntegrated Traditional Chinese and Western Medicine Hospital of Southern Medical University, Southern Medical University, Guangzhou 510515, China.
Yujue WangLaboratory Animal Management Center, Southern Medical University, Guangzhou 510515, China.
Zheng CaiBiopharmaceutics, NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China.
Menghua LiuBiopharmaceutics, NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0003-3162-5727
Southern Medical University · CNTCM-Intigrated Cancer Center of Southern Medical University · CN

Funding

Guangdong Basic and Applied Basic Research Foundation 2021A1515011604innovation and entrepreneurship training program for college students of Southern Medical University 202112121385Major Scientific and Technological Projects of Guangdong Province 2019B020202002Natural Science Foundation of Guangdong Province 2018030310286
6 · The paper itself

Abstract

With the widespread clinical use of drug combinations, the incidence of drug-drug interactions (DDI) has significantly increased, accompanied by a variety of adverse reactions. Drug transporters play an important role in the development of DDI by affecting the elimination process of drugs in vivo, especially in the pathological state. Tubulointerstitial fibrosis (TIF) is an inevitable pathway in the progression of chronic kidney disease (CKD) to end-stage renal disease. Here, the dynamic expression changes of eleven drug transporters in TIF kidney have been systematically investigated. Among them, the mRNA expressions of Oat1, Oat2, Oct1, Oct2, Oatp4C1 and Mate1 were down-regulated, while Oat3, Mrp2, Mrp4, Mdr1-α, Bcrp were up-regulated. Pearson correlation analysis was used to analyze the correlation between transporters and Creatinine (Cr), OCT2 and MATE1 showed a strong negative correlation with Cr. In contrast, Mdr1-α exhibited a strong positive correlation with Cr. In addition, the pharmacokinetics of cimetidine, ganciclovir, and digoxin, which were the classical substrates for OCT2, MATE1 and P-glycoprotein (P-gp), respectively, have been studied. These results reveal that changes in serum creatinine can indicate changes in drug transporters in the kidney, and thus affect the pharmacokinetics of its substrates, providing useful information for clinical use.

Indexed as

AnimalsAnion Transport ProteinsATP Binding Cassette Transporter, Subfamily B, Member 1ATP Binding Cassette Transporter, Subfamily G, Member 2Biological TransportChinaCreatinineDrug InteractionsFibrosisKidneyKidney DiseasesKidney Failure, ChronicMaleOrganic Anion TransportersOrganic Cation Transport ProteinsPharmaceutical PreparationsAnion Transport ProteinsATP Binding Cassette Transporter, Subfamily B, Member 1ATP Binding Cassette Transporter, Subfamily G, Member 2CreatinineOrganic Anion TransportersOrganic Cation Transport ProteinsPharmaceutical Preparationsdrug transportersMATE1OCT2P-gppharmacokinetics

Identifiers

PMID35163972
PMCPMC8838889
OpenAlexW4207015032

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.