Evidence map›Paper›PMID 40947715›Full record

ArticleCurrent drug metabolism2025

Transcriptomic and Proteomics Analysis of a Lipid-Loaded HepaRG Model for Steatosis Reveals Altered Regulation in Lipid and Xenobiotic Metabolism.

Anitha Saravanakumar, Cassandra A Tierney, Wen He, Rohitash Jamwal, Benjamin Barlock, Xin Bush, Jillian G Johnson, David A Rodrigues, Fatemeh Akhlaghi

Abstract read
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In one paragraph

Article in Current drug metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

9 authors.

Anitha SaravanakumarClinical Pharmacokinetics Research Laboratory, Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI, USA.ORCID 0000-0002-4830-5984
Cassandra A TierneyPfizer Worldwide Research and Development, Groton, CT, USA.
Wen HePfizer Worldwide Research and Development, Groton, CT, USA.
Rohitash JamwalClinical Pharmacokinetics Research Laboratory, Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI, USA.
Benjamin BarlockClinical Pharmacokinetics Research Laboratory, Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI, USA.
Xin BushClinical Pharmacokinetics Research Laboratory, Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI, USA.
Jillian G JohnsonPfizer Worldwide Research and Development, Groton, CT, USA.
David A RodriguesDrug Metabolism and Nonclinical Pharmacokinetics, Translational Medicine, Incyte, Wilmington, DE, USA.
Fatemeh AkhlaghiClinical Pharmacokinetics Research Laboratory, Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, RI, USA.ORCID 0000-0002-3946-7615

Funding

NIH HHS Grant # P20GM103430NIH HHS Grant # R15 GM101599
6 · The paper itself

Abstract

introductionHepatic lipid accumulation (steatosis) is an early indicator of non-alcoholic fatty liver disease (NAFLD), preceding fibrosis and cirrhosis. Understanding its effects on drug-metabolizing enzymes (DMEs) and transporters is crucial for assessing potential alterations in drug disposition among NAFLD patients. This study aimed to replicate steatosis in an

methodsDifferentiated HepaRG cells were treated with a mixture of saturated (palmitate) and unsaturated (oleate) fatty acids (in a 1:2 ratio at 0.5 mM), complexed with BSA for 72 hours to induce lipid accumulation. Confirmation of steatosis was performed using Oil Red O staining and triglyceride (TG) quantification, while cell viability was assessed via the WST-1 assay. RNA sequencing and SWATHMS proteomic analysis were employed to identify differentially expressed transcripts and proteins in lipid-loaded cells compared to controls.

resultsLipid loading resulted in a ~6-fold increase in TG concentration without compromising cell viability. Transcriptomic analysis identified 393 differentially expressed transcripts (89 upregulated, 304 downregulated), while proteomic analysis detected 165 differentially expressed proteins (127 upregulated, 38 downregulated). Notably, key mRNA transcripts related to transcription factors (NR1I2, HNF4α), phase 1 DMEs (CYP1A2, 2B6, 2C8, 2C9, 2C19, 3A4), phase 2 DMEs (UGT1A6, 2B7, SULT2A1, 1E1), and transporters (ABCC11, ABCG5, SLCO2B1, SLC10A1) exhibited significant downregulation. DISCUSSION: The observed alterations in DMEs and transporters suggest a potential shift in drug metabolism pathways under NAFLD conditions. Downregulation of transcription factors and metabolic enzymes could impact drug efficacy and toxicity, necessitating further research into the pharmacokinetic implications.

conclusionThe in vitro hepatic steatosis model demonstrated significant changes in the expression of clinically relevant DMEs and transporters. These findings highlight the importance of considering NAFLD-induced metabolic alterations when assessing drug disposition in affected patients.

Indexed as

Fatty LiverLipid MetabolismNon-alcoholic Fatty Liver DiseaseTranscriptomeXenobioticsCell LineCell SurvivalGene Expression ProfilingHumansProteomicsXenobioticscytochrome P450drug-metabolizing enzymesHepaRG.Hepatic steatosisnon-alcoholic fatty liver diseasetransporters

Identifiers

PMID40947715

What Socratic holds

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Registered trials

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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 Socratic graph.