Toggle Main Menu Toggle Search

Open Access padlockePrints

Abundance of Drug Transporters in the Human Kidney Cortex as Quantified by Quantitative Targeted Proteomics

Lookup NU author(s): Sarah Billington, Git Chung, Dr Colin Brown

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

Protein expression of renal uptake and efflux transporters was quantified by quantitative targeted proteomics using the surrogate peptide approach. Renal uptake transporters assessed in this study included organic anion transporters (OAT1-OAT4), organic cation transporter 2 (OCT2), organic/carnitine cation transporters (OCTN1 and OCTN2), and sodium-glucose transporter 2 (SGLT2); efflux transporters included P-glycoprotein, breast cancer resistance protein, multidrug resistance proteins (MRP2 and MRP4), and multidrug and toxin extrusion proteins (MATE1 andMATE2-K). Total membrane was isolated from the cortex of human kidneys (N = 41). The isolated membranes were digested by trypsin and the digest was subjected to liquid chromatography-tandem mass spectrometry analysis. The mean expression of surrogate peptides was as follows (given with the standard deviation, in picomoles per milligram of total membrane protein): OAT1 (5.3 +/- 1.9), OAT2 (0.9 +/- 0.3), OAT3 (3.5 +/- 1.6), OAT4 (0.5 +/- 0.2), OCT2 (7.4 +/- 2.8), OCTN1 (1.3 +/- 0.6), OCTN2 (0.6 +/- 0.2), P-glycoprotein (2.1 +/- 0.8), MRP2 (1.4 +/- 0.6), MRP4 (0.9 +/- 0.6), MATE1 (5.1 +/- 2.3), and SGLT2 (3.7 +/- 1.8). Breast cancer resistance protein (BCRP) and MATE2-K proteins were detectable but were below the lower limit of quantification. Interestingly, the protein expression of OAT1 and OAT3 was significantly correlated (r > 0.8). A significant correlation was also observed between expression of multiple other drug transporters, such as OATs/OCT2 or OCTN1/OCTN2, and SGLT2/OCTNs, OCT, OATs, and MRP2. These renal transporter data should be useful in deriving in vitro to in vivo scaling factors to accurately predict renal clearance and kidney epithelial cell exposure to drugs or their metabolites.


Publication metadata

Author(s): Prasad B, Johnson K, Billington S, Lee C, Chung GW, Brown CDA, Kelly EJ, Himmelfarb J, Unadkat JD

Publication type: Article

Publication status: Published

Journal: Drug Metabolism and Disposition

Year: 2016

Volume: 44

Issue: 12

Pages: 1920-1924

Print publication date: 01/12/2016

Online publication date: 25/10/2016

Acceptance date: 09/09/2016

ISSN (print): 0090-9556

ISSN (electronic): 1521-009X

Publisher: American Society for Pharmacology and Experimental Therapeutics

URL: https://doi.org/10.1124/dmd.116.072066

DOI: 10.1124/dmd.116.072066


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
DA032507National Institutes of Health National Institute on Drug Abuse
UH2TR000504National Institutes of Health National Center for Advancing Translational Sciences

Share