Cited by 141Drug-Induced Hepatotoxicity and ProtectionLiver physiology and pathologyAdvanced Proteomics Techniques and Applications

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index; 5 of the 16 sources its claims cite were checked for support.

Mechanistic evaluation of primary human hepatocyte culture using global proteomic analysis reveals a selective dedifferentiation profile

Open access

Abstract

The application of primary human hepatocytes following isolation from human tissue is well accepted to be compromised by the process of dedifferentiation. This phenomenon reduces many unique hepatocyte functions, limiting their use in drug disposition and toxicity assessment. The aetiology of dedifferentiation has not been well defined, and further understanding of the process would allow the development of novel strategies for sustaining the hepatocyte phenotype in culture or for improving protocols for maturation of hepatocytes generated from stem cells. We have therefore carried out the first proteomic comparison of primary human hepatocyte differentiation. Cells were cultured for 0, 24, 72 and 168 h as a monolayer in order to permit unrestricted hepatocyte dedifferentiation, so as to reveal the causative signalling pathways and factors in this process, by pathway analysis. A total of 3430 proteins were identified with a false detection rate of <1 %, of which 1117 were quantified at every time point. Increasing numbers of significantly differentially expressed proteins compared with the freshly isolated cells were observed at 24 h (40 proteins), 72 h (118 proteins) and 168 h (272 proteins) (p < 0.05). In particular, cytochromes P450 and mitochondrial proteins underwent major changes, confirmed by functional studies and investigated by pathway analysis. We report the key factors and pathways which underlie the loss of hepatic phenotype in vitro, particularly those driving the large-scale and selective remodelling of the mitochondrial and metabolic proteomes. In summary, these findings expand the current understanding of dedifferentiation should facilitate further development of simple and complex hepatic culture systems.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This study used global iTRAQ proteomics to track primary human hepatocyte dedifferentiation over 168 h in monolayer culture, identifying an escalating and selective loss of hepatic proteins rather than a wholesale collapse of all hepatocyte functions. Donor identity dominated early proteomic clustering, while culture time drove convergence toward a dedifferentiated phenotype.

Key findings

  • Across three iTRAQ runs, 3430 unique proteins were detected with FDR <1%, and 1117 were quantified at every time point; significantly differentially expressed proteins increased from 40 at 24 h to 118 at 72 h and 272 at 168 h versus freshly isolated cells (p < 0.05).
  • Dedifferentiation was selective: cytochromes P450 were largely down-regulated, with CYP2A6, CYP2C8, and CYP4A11 among the top down-regulated proteins at 168 h, while some CYPs such as CYP2C18 and CYP2J2 remained unaltered; only 2 of 9 detected transporters, both influx transporters SLCO1B1 and SLCO1B3, were significantly down-regulated at 168 h (p < 0.05).
  • Mitochondrial and metabolic proteomes underwent major remodeling, but oxidative phosphorylation parameters remained remarkably stable between 24 and 168 h, and PHHs showed significantly increased resistance to rotenone toxicity at 168 h in all donors.
  • Hierarchical clustering showed donor source was the dominant factor over the first 72 h, with convergence toward a culture-time-dependent dedifferentiated phenotype by 168 h; pathway analysis implicated proliferative/inflammatory activation and inhibition of metabolic regulators including PPARα, insulin receptor, KLF15, and TFAM.

Methods

  • Primary human hepatocytes were isolated by a 2-step collagenase method from surgical waste with consent and cultured as monolayers on collagen-I-coated plates; samples were collected at 0, 24, 72, and 168 h.
  • Five donors were analyzed by iTRAQ-based quantitative proteomics across three 8-plex runs, with proteins identified by mass spectrometry and statistically analyzed using LIMMA and t test modules in R; pathway, upstream regulator, and transcription factor binding analyses used IPA, PANTHER, and Mapper2.
  • Functional validation included western blotting for CYP2D6, CYP2E1, CYP1A2, and actin; LC–MS–MS metabolism assays for CYP3A4 (testosterone) and CYP2D6 (dextromethorphan); Seahorse OCR/ECAR mitochondrial and glycolytic assays; and rotenone toxicity ATP assays.

Limitations

  • The paper does not include a dedicated limitations section.
  • The authors state that some results may be specific to monolayer culture, which was chosen deliberately to exacerbate dedifferentiation and may not fully represent complex culture systems.
  • Evident from the text: proteomic analysis used five donors, functional assays used varying donor numbers (e.g., metabolism n = 3; Seahorse and rotenone n = 5), and some ADME heatmap data were derived from n = 2 or n = 1 donors, limiting generalizability and statistical power.

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Integrity signals

Registry

Crossref · 10.1007/s00204-016-1694-y

Cites

46 of 46 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Fig. 1 Morphological and statistical analysis a morphological changes in primary human hepatocytes over 168 h in monolayer collagen-I-coated plate culture. Scale bar represents 10 µm; b volcano plot analysis of the iTRAQ detected proteins log fold change versus p value at 24, 72 and 168 h. Blue significantly altered proteins (n = 5; p ≤ 0.05) and red significantly altered after multiple testing correction (n = 5; Benjamini–Hochberg ≤0.05) c hierarchal clustering analysis showing the relationship between donors and time points (n = 5); d heatmap of each donor’s proteome during dedifferentiation relative to the freshly isolated sample. Red indicates down-regulation, yellow up-regulation. The intensity of colour reflects the degree of change
Fig. 1 Morphological and statistical analysis a morphological changes in primary human hepatocytes over 168 h in monolayer collagen-I-coated plate culture. Scale bar represents 10 µm; b volcano plot analysis of the iTRAQ detected proteins log fold change versus p value at 24, 72 and 168 h. Blue significantly altered proteins (n = 5; p ≤ 0.05) and red significantly altered after multiple testing correction (n = 5; Benjamini–Hochberg ≤0.05) c hierarchal clustering analysis showing the relationship between donors and time points (n = 5); d heatmap of each donor’s proteome during dedifferentiation relative to the freshly isolated sample. Red indicates down-regulation, yellow up-regulation. The intensity of colour reflects the degree of changeCC BY · PubMed Central
Fig. 2 Pathway analysis of dedifferentiation a biological functions associated with the DEPs according to Z-activation score. If score 2 ≥ Z-score ≤ −2, the function is predicted to be activated or inhibited, respectively. Red up-regulated, green down-regulated. Intensity of colour correlates with greater Z-activation score b canonical pathways during dedifferentiation. Results displayed—Log (p values), pathway included if p < 0.05 at any of the assessed time points. Colour Intensity corresponds to the significance value; c upstream regulators predicted to be either activated or inhibited by Z-activation score (2 ≥ Z-score ≤ −2). Red activated, green inhibited, in order of significance
Fig. 2 Pathway analysis of dedifferentiation a biological functions associated with the DEPs according to Z-activation score. If score 2 ≥ Z-score ≤ −2, the function is predicted to be activated or inhibited, respectively. Red up-regulated, green down-regulated. Intensity of colour correlates with greater Z-activation score b canonical pathways during dedifferentiation. Results displayed—Log (p values), pathway included if p < 0.05 at any of the assessed time points. Colour Intensity corresponds to the significance value; c upstream regulators predicted to be either activated or inhibited by Z-activation score (2 ≥ Z-score ≤ −2). Red activated, green inhibited, in order of significanceCC BY · PubMed Central
Fig. 3 Mitochondrial changes during dedifferentiation. a Log2 fold change of mitochondrial proteins. Red up-regulated, green down-regulated. Intensity of colour log2 fold change. Bold proteins differentially expressed at 168 h (p < 0.05); b (i) oxidative phosphorylation and (ii) glycolysis parameters as percentages of maximal oxygen consumption rates and extracellular acidification rate, respectively; relative fold change of (iii) oxidative phosphorylation and (iv) glycolysis parameters. (*) p < 0.05 two-tailed paired t test; c ATP levels at 24 (filled diamond) and 168 h (filled square) following rotenone treatment. Results: percentage of control, (*) p < 0.05 two-tailed paired t test and (†) p < 0.05 Wilcoxon signed rank test (n = 5)
Fig. 3 Mitochondrial changes during dedifferentiation. a Log2 fold change of mitochondrial proteins. Red up-regulated, green down-regulated. Intensity of colour log2 fold change. Bold proteins differentially expressed at 168 h (p < 0.05); b (i) oxidative phosphorylation and (ii) glycolysis parameters as percentages of maximal oxygen consumption rates and extracellular acidification rate, respectively; relative fold change of (iii) oxidative phosphorylation and (iv) glycolysis parameters. (*) p < 0.05 two-tailed paired t test; c ATP levels at 24 (filled diamond) and 168 h (filled square) following rotenone treatment. Results: percentage of control, (*) p < 0.05 two-tailed paired t test and (†) p < 0.05 Wilcoxon signed rank test (n = 5)CC BY · PubMed Central
Fig. 4 Loss of hepatic metabolic phenotype. a ADME phases I, II and III enzyme heatmap. Red up-regulated, green down-regulated. Intensity of colour relative fold change. Data derived from n ≥ 3 donors unless stated (†) n = 2 or (‡) n = 1; b CYP450 s over 168 h (n = 5); error bars SD; one-way ANOVA: (*) p < 0.05, (#) p < 0.01); c western blots for CYP450 s and β-actin; d metabolic function of CYP3A (testosterone) and CYP2D6 (dextromethorphan) and detection of respective metabolites (6β-OH-testosterone and dextrorphan) detected by LC–MS–MS (n = 3; error bars SD); e ADME transporters protein expression during dedifferentiation. Error bars SD,* significant p < 0.05 by one-way ANOVA
Fig. 4 Loss of hepatic metabolic phenotype. a ADME phases I, II and III enzyme heatmap. Red up-regulated, green down-regulated. Intensity of colour relative fold change. Data derived from n ≥ 3 donors unless stated (†) n = 2 or (‡) n = 1; b CYP450 s over 168 h (n = 5); error bars SD; one-way ANOVA: (*) p < 0.05, (#) p < 0.01); c western blots for CYP450 s and β-actin; d metabolic function of CYP3A (testosterone) and CYP2D6 (dextromethorphan) and detection of respective metabolites (6β-OH-testosterone and dextrorphan) detected by LC–MS–MS (n = 3; error bars SD); e ADME transporters protein expression during dedifferentiation. Error bars SD,* significant p < 0.05 by one-way ANOVACC BY · PubMed Central

Verification

Claims the paper makes

53 Own result · 28 Own interpretation · 10 No full text of the sources · 4 No basis given · 3 Partly supported · 3 Own method · 1 Supported · 1 Supported so far · accuracy not yet measured

  • It may state two separate claims as one. 26
  • Probably not a substantial claim. 8
34 of 34
  • The paper relies on this without support.

    The aetiology of dedifferentiation has not been well defined.

    “The aetiology of dedifferentiation has not been well defined, and further understanding of the process would allow the development of novel strategies for sustaining the hepatocyte phenotype in culture or for improving protocols for maturation of hepatocytes generated from stem cells.”
  • The paper relies on this without support.

    The exact mechanisms governing hepatocyte dedifferentiation remain incompletely understood.

    “however, the exact mechanisms which govern these changes remain incompletely understood.”
  • The paper relies on this without support.

    The full in vivo phenotype has not yet been achieved in culture.

    “Despite these continued improvements and advances towards complex culture conditions which can maintain an improved phenotype over a period of weeks, the full in vivo phenotype has not yet been achieved.”
  • The paper relies on this without support.

    The iTRAQ proteomic quantification accurately reflects relative protein expression changes in PHH culture.

    “The general trend of expression relative to freshly isolated PHHs is downward; however, the majority of the detected CYP proteins are maintained in expression at 24 h in relation to the freshly isolated cells”
  • The paper relies on this without support.

    Rotenone resistance is a valid functional readout of complex I mitochondrial function in PHH.

    “To assess the functional consequence of these changes, rotenone was used as a model of complex I mitochondrial perturbation.”
  • The paper relies on this without support.

    Predicted transcription factor binding sites are functionally relevant to CYP expression.

    “Investigation into the predicted transcription factor binding sites of differentially expressed and non-differentially expressed CYPs revealed the factors that may underlie the selectivity found in the loss of xenobiotic CYPs (Table S10).”
  • The paper relies on this without support.

    The majority of toxicological endpoints are assessed within 72 h of isolation.

    “the majority of toxicological endpoints are assessed within 72 h of isolation”
  • The paper relies on this without support.

    Ferrochelatase catalyses the final step of the heme production pathway.

    “Ferrochelatase catalyses the final step of the heme production pathway”
  • The paper relies on this without support.

    CYPs are dependent on heme for function.

    “CYPs are dependent on heme for function”
  • The paper relies on this without support.

    The mRNA data from Richert et al. 2006 in monolayer culture are comparable to the protein data in this study.

    “Comparison of the trend in the CYP and transporter proteins with previously published hepatocyte monolayer gene expression data (Richert et al. 2006) allows further investigation of the loss of metabolic competence (table S8).”
  • The paper relies on this without support.

    The culture system's conditions are strictly defined and consistent across donors.

    “Taken together, these data suggest that the strictly defined culture system promotes a specific protein expression profile”
11 of 11

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Metadata

Authors
Heslop, J. A., Rowe, C., Walsh, J., Sison-Young, R., Jenkins, R., Kamalian, L., Kia, R., Hay, D., Jones, R. P., Malik, H. Z., Fenwick, S., Chadwick, A. E., Mills, J., Kitteringham, N. R., Goldring, C. E. P., & Kevin Park, B.
Affiliations
  • University of Liverpool (GB)
  • University of Oxford (GB)
  • Aintree University Hospital (GB)
  • AstraZeneca (United Kingdom) (GB)
Venue
Archives of Toxicology
Published
2016-04-02
Volume
91
Issue
1
Pages
439-452
ISSN
  • 0340-5761 (ISSN-L)
  • 1432-0738
OpenAlex
W2321561488
Cited by
141
References
46
Citations by year
2026: 16 · 2025: 14 · 2024: 10 · 2023: 15 · 2022: 16 · 2021: 12 · 2020: 17 · 2019: 10 · 2018: 18 · 2017: 7 · 2016: 6
FWCI
15.18
Type
journal article
Language
en
Open access
Locations
  • Archives of Toxicology (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (submittedVersion, cc-by)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
Funders
  • Biotechnology and Biological Sciences Research Council (GB) (BB/J500756/1)
  • Medical Research Council (GB) (MR/L006758/1 and G0700654)
  • European Parliament (BE) (115336)
Topics
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Drug-Induced Hepatotoxicity and Protection
  • Health Sciences › Medicine › Hepatology › Liver physiology and pathology
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
Keywords
primary human hepatocytes, hepatocyte dedifferentiation, hepatocyte culture, proteomic profiling, cytochrome P450, mitochondrial proteome, drug metabolism, hepatotoxicity assessment, stem cell-derived hepatocytes
MeSH terms
Cells, Cultured, Humans, Kinetics, Mitochondria, Liver, Pharmacology, Rotenone, Toxicology, Uncoupling Agents, Reproducibility of Results, Gene Expression Regulation, Developmental, Proteome, Gene Expression Profiling, Hepatocytes, Electron Transport Complex I, Cell Dedifferentiation, Protein Stability

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