Literature DB >> 30171984

Proteomics of human liver membrane transporters: a focus on fetuses and newborn infants.

Bianca D van Groen1, Evita van de Steeg2, Miriam G Mooij3, Marola M H van Lipzig2, Barbara A E de Koning4, Robert M Verdijk5, Heleen M Wortelboer2, Roger Gaedigk6, Chengpeng Bi6, J Steven Leeder6, Ron H N van Schaik7, Joost van Rosmalen8, Dick Tibboel9, Wouter H Vaes2, Saskia N de Wildt10.   

Abstract

BACKGROUND: Hepatic membrane transporters are involved in the transport of many endogenous and exogenous compounds, including drugs. We aimed to study the relation of age with absolute transporter protein expression in a cohort of 62 mainly fetus and newborn samples.
METHODS: Protein expressions of BCRP, BSEP, GLUT1, MCT1, MDR1, MRP1, MRP2, MRP3, NTCP, OCT1, OATP1B1, OATP1B3, OATP2B1 and ATP1A1 were quantified with LC-MS/MS in isolated crude membrane fractions of snap-frozen post-mortem fetal and pediatric, and surgical adult liver samples. mRNA expression was quantified using RNA sequencing, and genetic variants with TaqMan assays. We explored relationships between protein expression and age (gestational age [GA], postnatal age [PNA], and postmenstrual age); between protein and mRNA expression; and between protein expression and genotype.
RESULTS: We analyzed 36 fetal (median GA 23.4 weeks [range 15.3-41.3]), 12 premature newborn (GA 30.2 weeks [24.9-36.7], PNA 1.0 weeks [0.14-11.4]), 10 term newborn (GA 40.0 weeks [39.7-41.3], PNA 3.9 weeks [0.3-18.1]), 4 pediatric (PNA 4.1 years [1.1-7.4]) and 8 adult liver samples. A relationship with age was found for BCRP, BSEP, GLUT1, MDR1, MRP1, MRP2, MRP3, NTCP, OATP1B1 and OCT1, with the strongest relationship for postmenstrual age. For most transporters mRNA and protein expression were not correlated. No genotype-protein expression relationship was detected. DISCUSSION AND
CONCLUSION: Various developmental patterns of protein expression of hepatic transporters emerged in fetuses and newborns up to four months of age. Postmenstrual age was the most robust factor predicting transporter expression in this cohort. Our data fill an important gap in current pediatric transporter ontogeny knowledge.
Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Liver; Ontogeny; Pediatrics; Proteomics; Transporters

Mesh:

Substances:

Year:  2018        PMID: 30171984     DOI: 10.1016/j.ejps.2018.08.042

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  14 in total

1.  Toward a Consensus on Applying Quantitative Liquid Chromatography-Tandem Mass Spectrometry Proteomics in Translational Pharmacology Research: A White Paper.

Authors:  Bhagwat Prasad; Brahim Achour; Per Artursson; Cornelis E C A Hop; Yurong Lai; Philip C Smith; Jill Barber; Jacek R Wisniewski; Daniel Spellman; Yasuo Uchida; Michael A Zientek; Jashvant D Unadkat; Amin Rostami-Hodjegan
Journal:  Clin Pharmacol Ther       Date:  2019-07-26       Impact factor: 6.875

Review 2.  Quantitative Proteomics in Translational Absorption, Distribution, Metabolism, and Excretion and Precision Medicine.

Authors:  Deepak Ahire; Laken Kruger; Sheena Sharma; Vijaya Saradhi Mettu; Abdul Basit; Bhagwat Prasad
Journal:  Pharmacol Rev       Date:  2022-07       Impact factor: 18.923

3.  A proof of concept using the Ussing chamber methodology to study pediatric intestinal drug transport and age-dependent differences in absorption.

Authors:  Eva J Streekstra; Márton Kiss; Jeroen van den Heuvel; Johan Nicolaï; Petra van den Broek; Sanne M B I Botden; Martijn W J Stommel; Lara van Rijssel; Anna-Lena Ungell; Evita van de Steeg; Frans G M Russel; Saskia N de Wildt
Journal:  Clin Transl Sci       Date:  2022-08-12       Impact factor: 4.438

4.  Human Hepatic Transporter Signature Peptides for Quantitative Targeted Absolute Proteomics: Selection, Digestion Efficiency, and Peptide Stability.

Authors:  Ayano Mori; Takeshi Masuda; Shingo Ito; Sumio Ohtsuki
Journal:  Pharm Res       Date:  2022-09-21       Impact factor: 4.580

Review 5.  Monocarboxylate Transporters (SLC16): Function, Regulation, and Role in Health and Disease.

Authors:  Melanie A Felmlee; Robert S Jones; Vivian Rodriguez-Cruz; Kristin E Follman; Marilyn E Morris
Journal:  Pharmacol Rev       Date:  2020-04       Impact factor: 25.468

Review 6.  Incorporating Ontogeny in Physiologically Based Pharmacokinetic Modeling to Improve Pediatric Drug Development: What We Know About Developmental Changes in Membrane Transporters.

Authors:  Kit Wun Kathy Cheung; Bianca D van Groen; Gilbert J Burckart; Lei Zhang; Saskia N de Wildt; Shiew-Mei Huang
Journal:  J Clin Pharmacol       Date:  2019-09       Impact factor: 3.126

Review 7.  Recent advances in the ontogeny of drug disposition.

Authors:  Brian D Chapron; Alenka Chapron; J Steven Leeder
Journal:  Br J Clin Pharmacol       Date:  2021-04-15       Impact factor: 3.716

8.  Alternative Splicing of the SLCO1B1 Gene: An Exploratory Analysis of Isoform Diversity in Pediatric Liver.

Authors:  Bianca D van Groen; Chengpeng Bi; Roger Gaedigk; Vincent S Staggs; Dick Tibboel; Saskia N de Wildt; J Steven Leeder
Journal:  Clin Transl Sci       Date:  2020-01-09       Impact factor: 4.689

9.  Proof of Concept: First Pediatric [14 C]microtracer Study to Create Metabolite Profiles of Midazolam.

Authors:  Bianca D van Groen; Esther van Duijn; Arjan de Vries; Miriam G Mooij; Dick Tibboel; Wouter H J Vaes; Saskia N de Wildt
Journal:  Clin Pharmacol Ther       Date:  2020-06-27       Impact factor: 6.875

Review 10.  Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)-Based Proteomics of Drug-Metabolizing Enzymes and Transporters.

Authors:  Jiapeng Li; Hao-Jie Zhu
Journal:  Molecules       Date:  2020-06-11       Impact factor: 4.411

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