Literature DB >> 26825641

The Complexities of Interpreting Reversible Elevated Serum Creatinine Levels in Drug Development: Does a Correlation with Inhibition of Renal Transporters Exist?

Xiaoyan Chu1, Kelly Bleasby2, Grace Hoyee Chan2, Irene Nunes2, Raymond Evers2.   

Abstract

In humans, creatinine is formed by a multistep process in liver and muscle and eliminated via the kidney by a combination of glomerular filtration and active transport. Based on current evidence, creatinine can be taken up into renal proximal tubule cells by the basolaterally localized organic cation transporter 2 (OCT2) and the organic anion transporter 2, and effluxed into the urine by the apically localized multidrug and toxin extrusion protein 1 (MATE1) and MATE2K. Drug-induced elevation of serum creatinine (SCr) and/or reduced creatinine renal clearance is routinely used as a marker for acute kidney injury. Interpretation of elevated SCr can be complex, because such increases can be reversible and explained by inhibition of renal transporters involved in active secretion of creatinine or other secondary factors, such as diet and disease state. Distinction between these possibilities is important from a drug development perspective, as increases in SCr can result in the termination of otherwise efficacious drug candidates. In this review, we discuss the challenges associated with using creatinine as a marker for kidney damage. Furthermore, to evaluate whether reversible changes in SCr can be predicted prospectively based on in vitro transporter inhibition data, an in-depth in vitro-in vivo correlation (IVIVC) analysis was conducted for 16 drugs with in-house and literature in vitro transporter inhibition data for OCT2, MATE1, and MATE2K, as well as total and unbound maximum plasma concentration (Cmax and Cmax,u) data measured in the clinic.
Copyright © 2016 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2016        PMID: 26825641     DOI: 10.1124/dmd.115.067694

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  16 in total

1.  Pregnancy Increases the Renal Secretion of N1-methylnicotinamide, an Endogenous Probe for Renal Cation Transporters, in Patients Prescribed Metformin.

Authors:  Mackenzie C Bergagnini-Kolev; Mary F Hebert; Thomas R Easterling; Yvonne S Lin
Journal:  Drug Metab Dispos       Date:  2017-01-09       Impact factor: 3.922

Review 2.  Role of SLC transporters in toxicity induced by anticancer drugs.

Authors:  Kevin M Huang; Muhammad Erfan Uddin; Duncan DiGiacomo; Maryam B Lustberg; Shuiying Hu; Alex Sparreboom
Journal:  Expert Opin Drug Metab Toxicol       Date:  2020-04-26       Impact factor: 4.481

3.  Drugs in COVID-19 Clinical Trials: Predicting Transporter-Mediated Drug-Drug Interactions Using In Vitro Assays and Real-World Data.

Authors:  Sook Wah Yee; Bianca Vora; Tomiko Oskotsky; Ling Zou; Sebastian Jakobsen; Osatohanmwen J Enogieru; Megan L Koleske; Idit Kosti; Mattias Rödin; Marina Sirota; Kathleen M Giacomini
Journal:  Clin Pharmacol Ther       Date:  2021-05-03       Impact factor: 6.875

4.  A Novel Physiologically Based Model of Creatinine Renal Disposition to Integrate Current Knowledge of Systems Parameters and Clinical Observations.

Authors:  Daniel Scotcher; Vikram Arya; Xinning Yang; Ping Zhao; Lei Zhang; Shiew-Mei Huang; Amin Rostami-Hodjegan; Aleksandra Galetin
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-05-22

5.  Abemaciclib Inhibits Renal Tubular Secretion Without Changing Glomerular Filtration Rate.

Authors:  Jill C Chappell; P Kellie Turner; Y Anne Pak; James Bacon; Alan Y Chiang; Jane Royalty; Stephen D Hall; Palaniappan Kulanthaivel; Joseph V Bonventre
Journal:  Clin Pharmacol Ther       Date:  2018-12-30       Impact factor: 6.875

6.  A Whole-Body Physiologically Based Pharmacokinetic Model Characterizing Interplay of OCTs and MATEs in Intestine, Liver and Kidney to Predict Drug-Drug Interactions of Metformin with Perpetrators.

Authors:  Yiting Yang; Zexin Zhang; Ping Li; Weimin Kong; Xiaodong Liu; Li Liu
Journal:  Pharmaceutics       Date:  2021-05-11       Impact factor: 6.321

Review 7.  Lung Cancer with MET exon 14 Skipping Mutation: Genetic Feature, Current Treatments, and Future Challenges.

Authors:  Toshio Fujino; Kenichi Suda; Tetsuya Mitsudomi
Journal:  Lung Cancer (Auckl)       Date:  2021-05-20

8.  Mechanistic Models as Framework for Understanding Biomarker Disposition: Prediction of Creatinine-Drug Interactions.

Authors:  Daniel Scotcher; Vikram Arya; Xinning Yang; Ping Zhao; Lei Zhang; Shiew-Mei Huang; Amin Rostami-Hodjegan; Aleksandra Galetin
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-05-14

Review 9.  Organic Cation Transporters in Human Physiology, Pharmacology, and Toxicology.

Authors:  Sophia L Samodelov; Gerd A Kullak-Ublick; Zhibo Gai; Michele Visentin
Journal:  Int J Mol Sci       Date:  2020-10-24       Impact factor: 5.923

10.  Risk of chronic kidney disease in people living with HIV by tenofovir disoproxil fumarate (TDF) use and baseline D:A:D chronic kidney disease risk score.

Authors:  R Hsu; L Brunet; J Fusco; A Beyer; G Prajapati; C Wyatt; M Wohlfeiler; G Fusco
Journal:  HIV Med       Date:  2020-11-28       Impact factor: 3.180

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