Dataset Information

Ibuprofen is a non-competitive inhibitor of the peptide transporter hPEPT1 (SLC15A1): possible interactions between hPEPT1 substrates and ibuprofen.

ABSTRACT:

Background and purpose

Recently, we identified etodolac as a possible ligand for the human intestinal proton-couple peptide transporter (hPEPT1). This raised the possibility that other non-steroidal anti-inflammatory drugs, and especially ibuprofen, could also interact with hPEPT1. Here, we have assessed the interactions of ibuprofen with hPEPT1.

Experimental approach

The uptake of [(14)C]Gly-Sar, [(3)H]Ibuprofen and other radio-labelled compounds were investigated in Madin-Darby canine kidney cells (MDCK)/hPEPT1, MDCK/Mock, LLC-PK(1) or Caco-2 cells. The transepithelial transport of ibuprofen and hPEPT1 substrates was investigated in Caco-2 cell monolayers.

Key results

Ibuprofen concentration dependently inhibited hPEPT1-mediated uptake of Gly-Sar in MDCK/hPEPT1 cells (K(i)(app) = 0.4?mM) but uptake of ibuprofen in Caco-2 cells and MDCK/hPEPT1 cells was not inhibited by hPEPT1 substrates. The maximum uptake rate for Gly-Sar uptake was reduced from 522?pmol·min(-1)·cm(-2) to 181?pmol·min(-1)·cm(-2) and 78?pmol·min(-1)·cm(-2) in the presence of 0.5?mM and 1?mM ibuprofen, respectively. The interaction between ibuprofen and hPEPT1 was thus non-competitive. In LLC-PK1 cells, ibuprofen (1?mM) did not influence the transporter-mediated uptake of glycine or ?-methyl-D-glycopyranoside. In Caco-2 cell monolayers the absorptive transport of ?-aminolevulinic acid was reduced by 23% and 48% by ibuprofen (1 and 10?mM), respectively. Likewise the transport of Gly-Sar was reduced by 23% in the presence of ibuprofen (1?mM).

Conclusions and implications

Ibuprofen is a non-competitive inhibitor of hPEPT1. As ibuprofen reduced the transepithelial transport of ?-aminolevulinic acid, drug-drug interactions between ibuprofen and hPEPT1 drug substrates at their site of absorption are possible if administered together.

SUBMITTER: Omkvist DH

PROVIDER: S-EPMC3010583 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature

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Publications

Ibuprofen is a non-competitive inhibitor of the peptide transporter hPEPT1 (SLC15A1): possible interactions between hPEPT1 substrates and ibuprofen.

Omkvist Diana Højmark DH Brodin Birger B Nielsen Carsten Uhd CU

British journal of pharmacology 20101201 8

<h4>Background and purpose</h4>Recently, we identified etodolac as a possible ligand for the human intestinal proton-couple peptide transporter (hPEPT1). This raised the possibility that other non-steroidal anti-inflammatory drugs, and especially ibuprofen, could also interact with hPEPT1. Here, we have assessed the interactions of ibuprofen with hPEPT1.<h4>Experimental approach</h4>The uptake of [(14)C]Gly-Sar, [(3)H]Ibuprofen and other radio-labelled compounds were investigated in Madin-Darby ...[more]

PMID: 20726987

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Project description:BackgroundPeptide ligands have tremendous therapeutic potential as efficacious drugs. Currently, more than 40 peptides are available in the market for a drug. However, since costly and time-consuming synthesis procedures represent a problem for high-throughput screening, novel procedures to reduce the time and labor involved in screening peptide ligands are required. We propose the novel approach of 'in silico panning' which consists of a two-stage screening, involving affinity selection by docking simulation and evolution of the peptide ligand using genetic algorithms (GAs). In silico panning was successfully applied to the selection of peptide inhibitor for water-soluble quinoprotein glucose dehydrogenase (PQQGDH).ResultsThe evolution of peptide ligands for a target enzyme was achieved by combining a docking simulation with evolution of the peptide ligand using genetic algorithms (GAs), which mimic Darwinian evolution. Designation of the target area as next to the substrate-binding site of the enzyme in the docking simulation enabled the selection of a non-competitive inhibitor. In all, four rounds of selection were carried out on the computer; the distribution of the docking energy decreased gradually for each generation and improvements in the docking energy were observed over the four rounds of selection. One of the top three selected peptides with the lowest docking energy, 'SERG' showed an inhibitory effect with Ki value of 20 microM. PQQGDH activity, in terms of the Vmax value, was 3-fold lower than that of the wild-type enzyme in the presence of this peptide. The mechanism of the SERG blockage of the enzyme was identified as non-competitive inhibition. We confirmed the specific binding of the peptide, and its equilibrium dissociation constant (KD) value was calculated as 60 microM by surface plasmon resonance (SPR) analysis.ConclusionWe demonstrate an effective methodology of in silico panning for the selection of a non-competitive peptide inhibitor from small virtual peptide library. This study is the first to demonstrate the usefulness of in silico evolution using experimental data. Our study highlights the usefulness of this strategy for structure-based screening of enzyme inhibitors.

Project description:ERK2 primarily recognizes substrates through two recruitment sites, which lie outside the active site cleft of the kinase. These recruitment sites bind modular-docking sequences called docking sites and are potentially attractive sites for the development of non-ATP competitive inhibitors. The D-recruitment site (DRS) and the F-recruitment site (FRS) bind D-sites and F-sites, respectively. For example, peptides that target the FRS have been proposed to inhibit all ERK2 activity (Galanis, A., Yang, S. H., and Sharrocks, A. D. (2001) J. Biol. Chem. 276, 965-973); however, it has not been established whether this inhibition is steric or allosteric in origin. To facilitate inhibitor design and to examine potential coupling of recruitment sites to other ligand recognition sites within ERK2, energetic coupling within ERK2 was investigated using two new modular peptide substrates for ERK2. Modeling shows that one peptide (Sub-D) recognizes the DRS, while the other peptide (Sub-F) binds the FRS. A steady-state kinetic analysis reveals little evidence of thermodynamic linkage between the peptide substrate and ATP. Both peptides are phosphorylated through a random-order sequential mechanism with a k(cat)/K(m) comparable to Ets-1, a bona fide ERK2 substrate. Occupancy of the FRS with a peptide containing a modular docking sequence has no effect on the intrinsic ability of ERK2 to phosphorylate Sub-D. Occupancy of the DRS with a peptide containing a modular docking sequence has a slight effect (1.3 ± 0.1-fold increase in k(cat)) on the intrinsic ability of ERK2 to phosphorylate Sub-F. These data suggest that while docking interactions at the DRS and the FRS are energetically uncoupled, the DRS can exhibit weak communication to the active site. In addition, they suggest that peptides bound to the FRS inhibit the phosphorylation of protein substrates through a steric mechanism. The modeling and kinetic data suggest that the recruitment of ERK2 to cellular locations via its DRS may facilitate the formation of F-site selective ERK2 signaling complexes, while recruitment via the FRS will likely inhibit ERK2 through a steric mechanism of inhibition. Such recruitment may serve as an additional level of ERK2 regulation.

Dataset Information

Ibuprofen is a non-competitive inhibitor of the peptide transporter hPEPT1 (SLC15A1): possible interactions between hPEPT1 substrates and ibuprofen.

Background and purpose

Experimental approach

Key results

Conclusions and implications

Publications

Ibuprofen is a non-competitive inhibitor of the peptide transporter hPEPT1 (SLC15A1): possible interactions between hPEPT1 substrates and ibuprofen.

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