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Negi V, Gavlock D, Miedel MT, Lee JK, Shun T, Gough A, Vernetti L, Stern AM, Taylor DL, Yechoor VK. Modeling mechanisms underlying differential inflammatory responses to COVID-19 in type 2 diabetes using a patient-derived microphysiological organ-on-a-chip system. Lab Chip 2023; 23:4514-4527. [PMID: 37766577 DOI: 10.1039/d3lc00285c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/29/2023]
Abstract
Background: COVID-19 pandemic has caused more than 6 million deaths worldwide. Co-morbid conditions such as Type 2 Diabetes (T2D) have increased mortality in COVID-19. With limited translatability of in vitro and small animal models to human disease, human organ-on-a-chip models are an attractive platform to model in vivo disease conditions and test potential therapeutics. Methods: T2D or non-diabetic patient-derived macrophages and human liver sinusoidal endothelial cells were seeded, along with normal hepatocytes and stellate cells in the liver-on-a-chip (LAMPS - liver acinus micro physiological system), perfused with media mimicking non-diabetic fasting or T2D (high levels of glucose, fatty acids, insulin, glucagon) states. The macrophages and endothelial cells were transduced to overexpress the SARS-CoV2-S (spike) protein with appropriate controls before their incorporation into LAMPS. Cytokine concentrations in the efflux served as a read-out of the effects of S-protein expression in the different experimental conditions (non-diabetic-LAMPS, T2D-LAMPS), including incubation with tocilizumab, an FDA-approved drug for severe COVID-19. Findings: S-protein expression in the non-diabetic LAMPS led to increased cytokines, but in the T2D-LAMPS, this was significantly amplified both in the number and magnitude of key pro-inflammatory cytokines (IL6, CCL3, IL1β, IL2, TNFα, etc.) involved in cytokine storm syndrome (CSS), mimicking severe COVID-19 infection in T2D patients. Compared to vehicle control, tocilizumab (IL6-receptor antagonist) decreased the pro-inflammatory cytokine secretion in T2D-COVID-19-LAMPS but not in non-diabetic-COVID-19-LAMPS. Interpretation: macrophages and endothelial cells play a synergistic role in the pathophysiology of the hyper-inflammatory response seen with COVID-19 and T2D. The effect of Tocilizumab was consistent with large clinical trials that demonstrated Tocilizumab's efficacy only in critically ill patients with severe disease, providing confirmatory evidence that the T2D-COVID-19-LAMPS is a robust platform to model human in vivo pathophysiology of COVID-19 in T2D and for screening potential therapeutics.
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Affiliation(s)
- Vinny Negi
- Diabetes and Beta Cell Biology Center, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Dillon Gavlock
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mark T Miedel
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jeong Kyung Lee
- Diabetes and Beta Cell Biology Center, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Tongying Shun
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Albert Gough
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lawrence Vernetti
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Andrew M Stern
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - D Lansing Taylor
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Vijay K Yechoor
- Diabetes and Beta Cell Biology Center, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA, USA.
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Kocas-Kilicarslan ZN, Cetin Z, Faccioli LAP, Motomura T, Amirneni S, Diaz-Aragon R, Florentino RM, Sun Y, Pla-Palacin I, Xia M, Miedel MT, Kurihara T, Hu Z, Ostrowska A, Wang Z, Constantine R, Li A, Taylor DL, Behari J, Soto-Gutierrez A, Tafaleng EN. Polymorphisms Associated With Metabolic Dysfunction-Associated Steatotic Liver Disease Influence the Progression of End-Stage Liver Disease. Gastro Hep Adv 2023; 3:67-77. [PMID: 38292457 PMCID: PMC10827334 DOI: 10.1016/j.gastha.2023.09.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
BACKGROUND AND AIMS Chronic liver injury that results in cirrhosis and end-stage liver disease (ESLD) causes more than 1 million deaths annually worldwide. Although the impact of genetic factors on the severity of metabolic dysfunction-associated steatotic liver disease (MASLD) and alcohol-related liver disease (ALD) has been previously studied, their contribution to the development of ESLD remains largely unexplored. METHODS We genotyped 6 MASLD-associated polymorphisms in healthy (n = 123), metabolic dysfunction-associated steatohepatitis (MASH) (n = 145), MASLD-associated ESLD (n = 72), and ALD-associated ESLD (n = 57) cohorts and performed multinomial logistic regression to determine the combined contribution of genetic, demographic, and clinical factors to the progression of ESLD. RESULTS Distinct sets of factors are associated with the progression to ESLD. The PNPLA3 rs738409:G and TM6SF2 rs58542926:T alleles, body mass index (BMI), age, and female sex were positively associated with progression from a healthy state to MASH. The PNPLA3 rs738409:G allele, age, male sex, and having type 2 diabetes mellitus were positively associated, while BMI was negatively associated with progression from MASH to MASLD-associated ESLD. The PNPLA3 rs738409:G and GCKR rs780094:T alleles, age, and male sex were positively associated, while BMI was negatively associated with progression from a healthy state to ALD-associated ESLD. The findings indicate that the PNPLA3 rs738409:G allele increases susceptibility to ESLD regardless of etiology, the TM6SF2 rs58542926:T allele increases susceptibility to MASH, and the GCKR rs780094:T allele increases susceptibility to ALD-associated ESLD. CONCLUSION The PNPLA3, TM6SF2, and GCKR minor alleles influence the progression of MASLD-associated or ALD-associated ESLD. Genotyping for these variants in MASLD and ALD patients can enhance risk assessment, prompting early interventions to prevent ESLD.
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Affiliation(s)
- Zehra N. Kocas-Kilicarslan
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Zeliha Cetin
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Lanuza A. P. Faccioli
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Takashi Motomura
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Sriram Amirneni
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Ricardo Diaz-Aragon
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Rodrigo M. Florentino
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Yiyue Sun
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- School of Medicine, Tsinghua University, Beijing, China
| | - Iris Pla-Palacin
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mengying Xia
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mark T. Miedel
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Takeshi Kurihara
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Zhiping Hu
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Alina Ostrowska
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Zi Wang
- Department of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Albert Li
- Discovery Life Sciences, Huntsville, Alabama
| | - D. Lansing Taylor
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jaideep Behari
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Alejandro Soto-Gutierrez
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
- McGowan Institute for Regenerative Medicine, Pittsburgh, Pennsylvania
| | - Edgar N. Tafaleng
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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3
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Faccioli LAP, Cetin Z, Kocas-Kilicarslan ZN, Ortiz K, Sun Y, Hu Z, Kurihara T, Tafaleng EN, Florentino RM, Wang Z, Xia M, Miedel MT, Taylor DL, Behari J, Ostrowska A, Constantine R, Li A, Soto-Gutierrez A. Evaluation of Human Hepatocyte Drug Metabolism Carrying High-Risk or Protection-Associated Liver Disease Genetic Variants. Int J Mol Sci 2023; 24:13406. [PMID: 37686209 PMCID: PMC10487897 DOI: 10.3390/ijms241713406] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 08/15/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
Metabolic-dysfunction-associated steatotic liver disease (MASLD), which affects 30 million people in the US and is anticipated to reach over 100 million by 2030, places a significant financial strain on the healthcare system. There is presently no FDA-approved treatment for MASLD despite its public health significance and financial burden. Understanding the connection between point mutations, liver enzymes, and MASLD is important for comprehending drug toxicity in healthy or diseased individuals. Multiple genetic variations have been linked to MASLD susceptibility through genome-wide association studies (GWAS), either increasing MASLD risk or protecting against it, such as PNPLA3 rs738409, MBOAT7 rs641738, GCKR rs780094, HSD17B13 rs72613567, and MTARC1 rs2642438. As the impact of genetic variants on the levels of drug-metabolizing cytochrome P450 (CYP) enzymes in human hepatocytes has not been thoroughly investigated, this study aims to describe the analysis of metabolic functions for selected phase I and phase II liver enzymes in human hepatocytes. For this purpose, fresh isolated primary hepatocytes were obtained from healthy liver donors (n = 126), and liquid chromatography-mass spectrometry (LC-MS) was performed. For the cohorts, participants were classified into minor homozygotes and nonminor homozygotes (major homozygotes + heterozygotes) for five gene polymorphisms. For phase I liver enzymes, we found a significant difference in the activity of CYP1A2 in human hepatocytes carrying MBOAT7 (p = 0.011) and of CYP2C8 in human hepatocytes carrying PNPLA3 (p = 0.004). It was also observed that the activity of CYP2C9 was significantly lower in human hepatocytes carrying HSD17B13 (p = 0.001) minor homozygous compared to nonminor homozygous. No significant difference in activity of CYP2E1, CYP2C8, CYP2D6, CYP2E1, CYP3A4, ECOD, FMO, MAO, AO, and CES2 and in any of the phase II liver enzymes between human hepatocytes carrying genetic variants for PNPLA3 rs738409, MBOAT7 rs641738, GCKR rs780094, HSD17B13 rs72613567, and MTARC1 rs2642438 were observed. These findings offer a preliminary assessment of the influence of genetic variations on drug-metabolizing cytochrome P450 (CYP) enzymes in healthy human hepatocytes, which may be useful for future drug discovery investigations.
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Affiliation(s)
- Lanuza A. P. Faccioli
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Zeliha Cetin
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Zehra N. Kocas-Kilicarslan
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Kimberly Ortiz
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Yiyue Sun
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Zhiping Hu
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Takeshi Kurihara
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Edgar N. Tafaleng
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
| | - Rodrigo M. Florentino
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
- Pittsburgh Liver Research Center, Human Synthetic Liver Biology Core, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.L.T.); (J.B.)
| | - Zi Wang
- Department of Statistics, University of Pittsburgh, Pittsburgh, PA 15213, USA;
| | - Mengying Xia
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (M.X.); (M.T.M.)
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Mark T. Miedel
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (M.X.); (M.T.M.)
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - D. Lansing Taylor
- Pittsburgh Liver Research Center, Human Synthetic Liver Biology Core, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.L.T.); (J.B.)
- Department of Statistics, University of Pittsburgh, Pittsburgh, PA 15213, USA;
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (M.X.); (M.T.M.)
| | - Jaideep Behari
- Pittsburgh Liver Research Center, Human Synthetic Liver Biology Core, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.L.T.); (J.B.)
- Department of Medicine, Division of Gastroenterology, Hepatology, and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Alina Ostrowska
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
- Pittsburgh Liver Research Center, Human Synthetic Liver Biology Core, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.L.T.); (J.B.)
| | | | - Albert Li
- Discovery Life Sciences, Huntsville, AL 35806, USA; (R.C.); (A.L.)
| | - Alejandro Soto-Gutierrez
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA; (Z.C.); (Z.N.K.-K.); (K.O.); (Y.S.); (Z.H.); (T.K.); (E.N.T.); (R.M.F.); (A.O.)
- Pittsburgh Liver Research Center, Human Synthetic Liver Biology Core, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.L.T.); (J.B.)
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (M.X.); (M.T.M.)
- McGowan Institute for Regenerative Medicine, Pittsburgh, PA 15219, USA
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4
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Beaudoin JJ, Clemens L, Miedel MT, Gough A, Zaidi F, Ramamoorthy P, Wong KE, Sarangarajan R, Battista C, Shoda LKM, Siler SQ, Taylor DL, Howell BA, Vernetti LA, Yang K. The Combination of a Human Biomimetic Liver Microphysiology System with BIOLOGXsym, a Quantitative Systems Toxicology (QST) Modeling Platform for Macromolecules, Provides Mechanistic Understanding of Tocilizumab- and GGF2-Induced Liver Injury. Int J Mol Sci 2023; 24:ijms24119692. [PMID: 37298645 DOI: 10.3390/ijms24119692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 05/25/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023] Open
Abstract
Biologics address a range of unmet clinical needs, but the occurrence of biologics-induced liver injury remains a major challenge. Development of cimaglermin alfa (GGF2) was terminated due to transient elevations in serum aminotransferases and total bilirubin. Tocilizumab has been reported to induce transient aminotransferase elevations, requiring frequent monitoring. To evaluate the clinical risk of biologics-induced liver injury, a novel quantitative systems toxicology modeling platform, BIOLOGXsym™, representing relevant liver biochemistry and the mechanistic effects of biologics on liver pathophysiology, was developed in conjunction with clinically relevant data from a human biomimetic liver microphysiology system. Phenotypic and mechanistic toxicity data and metabolomics analysis from the Liver Acinus Microphysiology System showed that tocilizumab and GGF2 increased high mobility group box 1, indicating hepatic injury and stress. Tocilizumab exposure was associated with increased oxidative stress and extracellular/tissue remodeling, and GGF2 decreased bile acid secretion. BIOLOGXsym simulations, leveraging the in vivo exposure predicted by physiologically-based pharmacokinetic modeling and mechanistic toxicity data from the Liver Acinus Microphysiology System, reproduced the clinically observed liver signals of tocilizumab and GGF2, demonstrating that mechanistic toxicity data from microphysiology systems can be successfully integrated into a quantitative systems toxicology model to identify liabilities of biologics-induced liver injury and provide mechanistic insights into observed liver safety signals.
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Affiliation(s)
- James J Beaudoin
- DILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA
| | - Lara Clemens
- DILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA
| | - Mark T Miedel
- Department of Computational and Systems Biology, Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Albert Gough
- Department of Computational and Systems Biology, Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | | | | | | | | | - Christina Battista
- DILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA
| | - Lisl K M Shoda
- DILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA
| | - Scott Q Siler
- DILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA
| | - D Lansing Taylor
- Department of Computational and Systems Biology, Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Brett A Howell
- DILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA
| | - Lawrence A Vernetti
- Department of Computational and Systems Biology, Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Kyunghee Yang
- DILIsym Services Division, Simulations Plus Inc., Research Triangle Park, Durham, NC 27709, USA
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5
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Lefever DE, Miedel MT, Pei F, DiStefano JK, Debiasio R, Shun TY, Saydmohammed M, Chikina M, Vernetti LA, Soto-Gutierrez A, Monga SP, Bataller R, Behari J, Yechoor VK, Bahar I, Gough A, Stern AM, Taylor DL. A Quantitative Systems Pharmacology Platform Reveals NAFLD Pathophysiological States and Targeting Strategies. Metabolites 2022; 12:528. [PMID: 35736460 PMCID: PMC9227696 DOI: 10.3390/metabo12060528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 05/28/2022] [Accepted: 06/03/2022] [Indexed: 11/17/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) has a high global prevalence with a heterogeneous and complex pathophysiology that presents barriers to traditional targeted therapeutic approaches. We describe an integrated quantitative systems pharmacology (QSP) platform that comprehensively and unbiasedly defines disease states, in contrast to just individual genes or pathways, that promote NAFLD progression. The QSP platform can be used to predict drugs that normalize these disease states and experimentally test predictions in a human liver acinus microphysiology system (LAMPS) that recapitulates key aspects of NAFLD. Analysis of a 182 patient-derived hepatic RNA-sequencing dataset generated 12 gene signatures mirroring these states. Screening against the LINCS L1000 database led to the identification of drugs predicted to revert these signatures and corresponding disease states. A proof-of-concept study in LAMPS demonstrated mitigation of steatosis, inflammation, and fibrosis, especially with drug combinations. Mechanistically, several structurally diverse drugs were predicted to interact with a subnetwork of nuclear receptors, including pregnane X receptor (PXR; NR1I2), that has evolved to respond to both xenobiotic and endogenous ligands and is intrinsic to NAFLD-associated transcription dysregulation. In conjunction with iPSC-derived cells, this platform has the potential for developing personalized NAFLD therapeutic strategies, informing disease mechanisms, and defining optimal cohorts of patients for clinical trials.
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Affiliation(s)
- Daniel E. Lefever
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
| | - Mark T. Miedel
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Fen Pei
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Johanna K. DiStefano
- Diabetes and Fibrotic Disease Unit, Translational Genomics Research Institute TGen, Phoenix, AZ 85004, USA;
| | - Richard Debiasio
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
| | - Tong Ying Shun
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
| | - Manush Saydmohammed
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
| | - Maria Chikina
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Lawrence A. Vernetti
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Alejandro Soto-Gutierrez
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
- McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15203, USA
| | - Satdarshan P. Monga
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Ramon Bataller
- Division of Gastroenterology Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA; (R.B.); (J.B.)
| | - Jaideep Behari
- Division of Gastroenterology Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA; (R.B.); (J.B.)
- UPMC Liver Clinic, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Vijay K. Yechoor
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Division of Endocrinology and Metabolism, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15203, USA
| | - Ivet Bahar
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Albert Gough
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Andrew M. Stern
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - D. Lansing Taylor
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
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6
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Luke CJ, Markovina S, Good M, Wight IE, Thomas BJ, Linneman JM, Lanik WE, Koroleva O, Coffman MR, Miedel MT, Gong Q, Andress A, Campos Guerrero M, Wang S, Chen L, Beatty WL, Hausmann KN, White FV, Fitzpatrick JAJ, Orvedahl A, Pak SC, Silverman GA. Lysoptosis is an evolutionarily conserved cell death pathway moderated by intracellular serpins. Commun Biol 2022; 5:47. [PMID: 35022507 PMCID: PMC8755814 DOI: 10.1038/s42003-021-02953-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 12/07/2021] [Indexed: 01/02/2023] Open
Abstract
Lysosomal membrane permeabilization (LMP) and cathepsin release typifies lysosome-dependent cell death (LDCD). However, LMP occurs in most regulated cell death programs suggesting LDCD is not an independent cell death pathway, but is conscripted to facilitate the final cellular demise by other cell death routines. Previously, we demonstrated that Caenorhabditis elegans (C. elegans) null for a cysteine protease inhibitor, srp-6, undergo a specific LDCD pathway characterized by LMP and cathepsin-dependent cytoplasmic proteolysis. We designated this cell death routine, lysoptosis, to distinguish it from other pathways employing LMP. In this study, mouse and human epithelial cells lacking srp-6 homologues, mSerpinb3a and SERPINB3, respectively, demonstrated a lysoptosis phenotype distinct from other cell death pathways. Like in C. elegans, this pathway depended on LMP and released cathepsins, predominantly cathepsin L. These studies suggested that lysoptosis is an evolutionarily-conserved eukaryotic LDCD that predominates in the absence of neutralizing endogenous inhibitors. Cliff Luke et al. report that lysoptosis is a eukaryotic stand-alone regulated cell death pathway. They identify that this new cell death modality predominates in the absence of neutralizing endogenous inhibitors.
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Affiliation(s)
- Cliff J Luke
- Departments of Pediatrics, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA. .,Siteman Cancer Center, and Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA.
| | - Stephanie Markovina
- Siteman Cancer Center, and Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA.,Radiation Oncology, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Misty Good
- Departments of Pediatrics, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Ira E Wight
- Departments of Pediatrics, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Brian J Thomas
- Departments of Pediatrics, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - John M Linneman
- Departments of Pediatrics, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Wyatt E Lanik
- Departments of Pediatrics, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Olga Koroleva
- Departments of Pediatrics, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Maggie R Coffman
- Departments of Pediatrics, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Mark T Miedel
- Department of Computational and Systems biology, Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Qingqing Gong
- Departments of Pediatrics, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Arlise Andress
- Radiation Oncology, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Marlene Campos Guerrero
- Radiation Oncology, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Songyan Wang
- Radiation Oncology, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - LiYun Chen
- Radiation Oncology, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Wandy L Beatty
- Molecular Microbiology, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Kelsey N Hausmann
- Molecular Microbiology, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Frances V White
- Department of Pathology and Immunology, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - James A J Fitzpatrick
- Cell Biology and Physiology, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA.,Neuroscience, and Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Anthony Orvedahl
- Departments of Pediatrics, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Stephen C Pak
- Departments of Pediatrics, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA
| | - Gary A Silverman
- Departments of Pediatrics, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA. .,Siteman Cancer Center, and Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA. .,Cell Biology and Physiology, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA. .,Genetics, Washington University School of Medicine and the Children's Discovery Institute of St. Louis Children's Hospital, St. Louis, MO, USA.
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7
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Saydmohammed M, Jha A, Mahajan V, Gavlock D, Shun TY, DeBiasio R, Lefever D, Li X, Reese C, Kershaw EE, Yechoor V, Behari J, Soto-Gutierrez A, Vernetti L, Stern A, Gough A, Miedel MT, Lansing Taylor D. Quantifying the progression of non-alcoholic fatty liver disease in human biomimetic liver microphysiology systems with fluorescent protein biosensors. Exp Biol Med (Maywood) 2021; 246:2420-2441. [PMID: 33957803 PMCID: PMC8606957 DOI: 10.1177/15353702211009228] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Metabolic syndrome is a complex disease that involves multiple organ systems including a critical role for the liver. Non-alcoholic fatty liver disease (NAFLD) is a key component of the metabolic syndrome and fatty liver is linked to a range of metabolic dysfunctions that occur in approximately 25% of the population. A panel of experts recently agreed that the acronym, NAFLD, did not properly characterize this heterogeneous disease given the associated metabolic abnormalities such as type 2 diabetes mellitus (T2D), obesity, and hypertension. Therefore, metabolic dysfunction-associated fatty liver disease (MAFLD) has been proposed as the new term to cover the heterogeneity identified in the NAFLD patient population. Although many rodent models of NAFLD/NASH have been developed, they do not recapitulate the full disease spectrum in patients. Therefore, a platform has evolved initially focused on human biomimetic liver microphysiology systems that integrates fluorescent protein biosensors along with other key metrics, the microphysiology systems database, and quantitative systems pharmacology. Quantitative systems pharmacology is being applied to investigate the mechanisms of NAFLD/MAFLD progression to select molecular targets for fluorescent protein biosensors, to integrate computational and experimental methods to predict drugs for repurposing, and to facilitate novel drug development. Fluorescent protein biosensors are critical components of the platform since they enable monitoring of the pathophysiology of disease progression by defining and quantifying the temporal and spatial dynamics of protein functions in the biosensor cells, and serve as minimally invasive biomarkers of the physiological state of the microphysiology system experimental disease models. Here, we summarize the progress in developing human microphysiology system disease models of NAFLD/MAFLD from several laboratories, developing fluorescent protein biosensors to monitor and to measure NAFLD/MAFLD disease progression and implementation of quantitative systems pharmacology with the goal of repurposing drugs and guiding the creation of novel therapeutics.
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Affiliation(s)
- Manush Saydmohammed
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Anupma Jha
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Vineet Mahajan
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Dillon Gavlock
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Tong Ying Shun
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Richard DeBiasio
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Daniel Lefever
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Xiang Li
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Celeste Reese
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Erin E Kershaw
- Department of Medicine, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Vijay Yechoor
- Department of Medicine, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Jaideep Behari
- Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, Pittsburgh, PA 15261, USA
- UPMC Liver Clinic, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Alejandro Soto-Gutierrez
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Larry Vernetti
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Andrew Stern
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Albert Gough
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Mark T Miedel
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - D Lansing Taylor
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA
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8
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Miedel MT, Gavlock DC, Jia S, Gough A, Taylor DL, Stern AM. Modeling the Effect of the Metastatic Microenvironment on Phenotypes Conferred by Estrogen Receptor Mutations Using a Human Liver Microphysiological System. Sci Rep 2019; 9:8341. [PMID: 31171849 PMCID: PMC6554298 DOI: 10.1038/s41598-019-44756-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 05/23/2019] [Indexed: 02/08/2023] Open
Abstract
Reciprocal coevolution of tumors and their microenvironments underlies disease progression, yet intrinsic limitations of patient-derived xenografts and simpler cell-based models present challenges towards a deeper understanding of these intercellular communication networks. To help overcome these barriers and complement existing models, we have developed a human microphysiological system (MPS) model of the human liver acinus, a common metastatic site, and have applied this system to estrogen receptor (ER)+ breast cancer. In addition to their hallmark constitutive (but ER-dependent) growth phenotype, different ESR1 missense mutations, prominently observed during estrogen deprivation therapy, confer distinct estrogen-enhanced growth and drug resistant phenotypes not evident under cell autonomous conditions. Under low molecular oxygen within the physiological range (~5–20%) of the normal liver acinus, the estrogen-enhanced growth phenotypes are lost, a dependency not observed in monoculture. In contrast, the constitutive growth phenotypes are invariant within this range of molecular oxygen suggesting that ESR1 mutations confer a growth advantage not only during estrogen deprivation but also at lower oxygen levels. We discuss the prospects and limitations of implementing human MPS, especially in conjunction with in situ single cell hyperplexed computational pathology platforms, to identify biomarkers mechanistically linked to disease progression that inform optimal therapeutic strategies for patients.
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Affiliation(s)
- Mark T Miedel
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Dillon C Gavlock
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Shanhang Jia
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA.,School of Medicine, Tsinghua University, Beijing, China
| | - Albert Gough
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - D Lansing Taylor
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA. .,Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA. .,University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA.
| | - Andrew M Stern
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA. .,Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA.
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9
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Jia S, Miedel MT, Ngo M, Hessenius R, Chen N, Wang P, Bahreini A, Li Z, Ding Z, Shun TY, Zuckerman DM, Taylor DL, Puhalla SL, Lee AV, Oesterreich S, Stern AM. Clinically Observed Estrogen Receptor Alpha Mutations within the Ligand-Binding Domain Confer Distinguishable Phenotypes. Oncology 2018; 94:176-189. [PMID: 29306943 DOI: 10.1159/000485510] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 11/16/2017] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Twenty to fifty percent of estrogen receptor-positive (ER+) metastatic breast cancers express mutations within the ER ligand-binding domain. While most studies focused on the constitutive ER signaling activity commonly engendered by these mutations selected during estrogen deprivation therapy, our study was aimed at investigating distinctive phenotypes conferred by different mutations within this class. METHODS We examined the two most prevalent mutations, D538G and Y537S, employing corroborative genome-edited and lentiviral-transduced ER+ T47D cell models. We used a luciferase-based reporter and endogenous phospho-ER immunoblot analysis to characterize the estrogen response of ER mutants and determined their resistance to known ER antagonists. RESULTS Consistent with their selection during estrogen deprivation therapy, these mutants conferred constitutive ER activity. While Y537S mutants showed no estrogen dependence, D538G mutants demonstrated an enhanced estrogen-dependent response. Both mutations conferred resistance to ER antagonists that was overcome at higher doses acting specifically through their ER target. CONCLUSIONS These observations provide a tenable hypothesis for how D538G ESR1-expressing clones can contribute to shorter progression-free survival observed in the exemestane arm of the BOLERO-2 study. Thus, in those patients with dominant D538G-expressing clones, longitudinal analysis for this mutation in circulating free DNA may prove beneficial for informing more optimal therapeutic regimens.
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10
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Jia S, Hessenius R, Ngo M, Wang P, Bahreini A, Chen N, Ding Z, Shun TY, Taylor L, Puhalla S, Lee A, Oesterreich S, Stern AM, Miedel MT. Abstract 5871: Characterizing hormone therapy-resistance phenotypes in metastatic breast cancer conferred by estrogen receptor (ER) mutations. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-5871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
232,000 new cases of invasive breast cancer will be diagnosed in 2016. 40,300 patients will die primarily from metastatic disease. Mortality results from the ability of cancer to evolve and evade therapy. Estrogen receptor (ER+) breast cancer accounts for 70% of invasive breast cancer. The mainstay treatment of ER+ breast cancer involves estrogen deprivation therapy using aromatase inhibitors as well as estrogen receptor antagonists and degraders. We and others have shown that patients treated with aromatase inhibitors often (14-54%) acquire ESR1 mutations in their metastases in contrast to only a 0.5% ESR1 mutation frequency detectable in their primary tumors. We hypothesize that ESR1 mutations are selected during estrogen deprivation therapy as a result of Darwinian forces of evolution and represent targetable dependencies for ER+ metastatic disease. We reasoned that characterization of the phenotype engendered by ESR1 mutations under physiologically relevant conditions will help us understand the mechanism of ER(+)metastatic cancer. To achieve this objective we have stably expressed the two most common ESR1 mutations observed in the clinic (i.e., D538G and Y537S) in a parental human breast cancer cell line (T47D) using both lentiviral transfection and CRISPR/Cas9 gene editing. We used an estrogen response element (ERE) transactivation luciferase-based reporter assay to determine the estrogen response of each ESR1 mutant expressing cell line and their respective sensitivity to approved and investigational ER antagonist drugs. Expression of each mutant confers estrogen-independent (constitutive) ERE transactivation in contrast to the parental and wild type control cells. Furthermore, partial and potentially clinically relevant resistance of these ESR1 mutant-expressing cells to ER antagonists such as fulvestrant and 4-hydroxytamoxifen was evident. In addition, using this reporter assay, mutant ESR1-expressing cell lines show similar resistance in the absence of estrogen. We are using a human microphysiological model of liver metastasis as a complementary approach to patient-derived xenograft models to investigate metastatic associated phenotypes conferred by these mutations. Since our previous studies indicated the existence of polyclonal mutations within individual patients (P.Wang, A. Bahreini et al., CCR 2016), we are testing the hypothesis that the persistence of this heterogeneity results from cooperation among these mutant-expressing clones. These studies form the basis for our continuing efforts to understand ER+ metastatic disease and use this knowledge to identify more effective therapies.
Note: This abstract was not presented at the meeting.
Citation Format: Shanhang Jia, Ryan Hessenius, Marilyn Ngo, Peilu Wang, Amir Bahreini, Ning Chen, Zhijie Ding, Tong ying Shun, Lansing Taylor, Shannon Puhalla, Adrian Lee, Steffi Oesterreich, Andrew M. Stern, Mark T. Miedel. Characterizing hormone therapy-resistance phenotypes in metastatic breast cancer conferred by estrogen receptor (ER) mutations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5871. doi:10.1158/1538-7445.AM2017-5871
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11
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Shi S, Luke CJ, Miedel MT, Silverman GA, Kleyman TR. Activation of the Caenorhabditis elegans Degenerin Channel by Shear Stress Requires the MEC-10 Subunit. J Biol Chem 2016; 291:14012-14022. [PMID: 27189943 DOI: 10.1074/jbc.m116.718031] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Indexed: 01/12/2023] Open
Abstract
Mechanotransduction in Caenorhabditis elegans touch receptor neurons is mediated by an ion channel formed by MEC-4, MEC-10, and accessory proteins. To define the role of these subunits in the channel's response to mechanical force, we expressed degenerin channels comprising MEC-4 and MEC-10 in Xenopus oocytes and examined their response to laminar shear stress (LSS). Shear stress evoked a rapid increase in whole cell currents in oocytes expressing degenerin channels as well as channels with a MEC-4 degenerin mutation (MEC-4d), suggesting that C. elegans degenerin channels are sensitive to LSS. MEC-10 is required for a robust LSS response as the response was largely blunted in oocytes expressing homomeric MEC-4 or MEC-4d channels. We examined a series of MEC-10/MEC-4 chimeras to identify specific domains (amino terminus, first transmembrane domain, and extracellular domain) and sites (residues 130-132 and 134-137) within MEC-10 that are required for a robust response to shear stress. In addition, the LSS response was largely abolished by MEC-10 mutations encoded by a touch-insensitive mec-10 allele, providing a correlation between the channel's responses to two different mechanical forces. Our findings suggest that MEC-10 has an important role in the channel's response to mechanical forces.
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Affiliation(s)
- Shujie Shi
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15261
| | - Cliff J Luke
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania 15261
| | - Mark T Miedel
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania 15261
| | - Gary A Silverman
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania 15261; Department of Cell Biology, University of Pittsburgh, Pittsburgh, Pennsylvania 15261
| | - Thomas R Kleyman
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15261; Department of Cell Biology, University of Pittsburgh, Pittsburgh, Pennsylvania 15261; Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, Pennsylvania 15261.
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Abstract
The clade B/intracellular serpins protect cells from peptidase-mediated injury by forming covalent complexes with their targets. SERPINB12 is expressed in most tissues, especially at cellular interfaces with the external environment. This wide tissue distribution pattern is similar to that of granzyme A (GZMA). Because SERPINB12 inhibits trypsin-like serine peptidases, we determined whether it might also neutralize GZMA. SERPINB12 formed a covalent complex with GZMA and inhibited the enzyme with typical serpin slow-binding kinetics. SERPINB12 also inhibited Hepsin. SERPINB12 may function as an endogenous inhibitor of these peptidases.
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Affiliation(s)
- Jason Z Niehaus
- Department of Pediatrics and ‡Cell Biology and Physiology, University of Pittsburgh School of Medicine and The Children's Hospital of Pittsburgh of UPMC , 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
| | - Mark T Miedel
- Department of Pediatrics and ‡Cell Biology and Physiology, University of Pittsburgh School of Medicine and The Children's Hospital of Pittsburgh of UPMC , 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
| | - Misty Good
- Department of Pediatrics and ‡Cell Biology and Physiology, University of Pittsburgh School of Medicine and The Children's Hospital of Pittsburgh of UPMC , 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
| | - Allyson N Wyatt
- Department of Pediatrics and ‡Cell Biology and Physiology, University of Pittsburgh School of Medicine and The Children's Hospital of Pittsburgh of UPMC , 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
| | - Stephen C Pak
- Department of Pediatrics and ‡Cell Biology and Physiology, University of Pittsburgh School of Medicine and The Children's Hospital of Pittsburgh of UPMC , 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
| | - Gary A Silverman
- Department of Pediatrics and ‡Cell Biology and Physiology, University of Pittsburgh School of Medicine and The Children's Hospital of Pittsburgh of UPMC , 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
| | - Cliff J Luke
- Department of Pediatrics and ‡Cell Biology and Physiology, University of Pittsburgh School of Medicine and The Children's Hospital of Pittsburgh of UPMC , 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
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13
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Cummings EE, O’Reilly LP, King DE, Silverman RM, Miedel MT, Luke CJ, Perlmutter DH, Silverman GA, Pak SC. Deficient and Null Variants of SERPINA1 Are Proteotoxic in a Caenorhabditis elegans Model of α1-Antitrypsin Deficiency. PLoS One 2015; 10:e0141542. [PMID: 26512890 PMCID: PMC4626213 DOI: 10.1371/journal.pone.0141542] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Accepted: 10/10/2015] [Indexed: 12/24/2022] Open
Abstract
α1-antitrypsin deficiency (ATD) predisposes patients to both loss-of-function (emphysema) and gain-of-function (liver cirrhosis) phenotypes depending on the type of mutation. Although the Z mutation (ATZ) is the most prevalent cause of ATD, >120 mutant alleles have been identified. In general, these mutations are classified as deficient (<20% normal plasma levels) or null (<1% normal levels) alleles. The deficient alleles, like ATZ, misfold in the ER where they accumulate as toxic monomers, oligomers and aggregates. Thus, deficient alleles may predispose to both gain- and loss-of-function phenotypes. Null variants, if translated, typically yield truncated proteins that are efficiently degraded after being transiently retained in the ER. Clinically, null alleles are only associated with the loss-of-function phenotype. We recently developed a C. elegans model of ATD in order to further elucidate the mechanisms of proteotoxicity (gain-of-function phenotype) induced by the aggregation-prone deficient allele, ATZ. The goal of this study was to use this C. elegans model to determine whether different types of deficient and null alleles, which differentially affect polymerization and secretion rates, correlated to any extent with proteotoxicity. Animals expressing the deficient alleles, Mmalton, Siiyama and S (ATS), showed overall toxicity comparable to that observed in patients. Interestingly, Siiyama expressing animals had smaller intracellular inclusions than ATZ yet appeared to have a greater negative effect on animal fitness. Surprisingly, the null mutants, although efficiently degraded, showed a relatively mild gain-of-function proteotoxic phenotype. However, since null variant proteins are degraded differently and do not appear to accumulate, their mechanism of proteotoxicity is likely to be different to that of polymerizing, deficient mutants. Taken together, these studies showed that C. elegans is an inexpensive tool to assess the proteotoxicity of different AT variants using a transgenic approach.
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Affiliation(s)
- Erin E. Cummings
- Department of Pediatrics, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Linda P. O’Reilly
- Department of Pediatrics, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Dale E. King
- Department of Pediatrics, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Richard M. Silverman
- Department of Pediatrics, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Mark T. Miedel
- Department of Pediatrics, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Cliff J. Luke
- Department of Pediatrics, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - David H. Perlmutter
- Department of Pediatrics, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
- Department of Cell Biology and Molecular Physiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America
| | - Gary A. Silverman
- Department of Pediatrics, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
- Department of Cell Biology and Molecular Physiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America
- * E-mail: (SCP); (GAS)
| | - Stephen C. Pak
- Department of Pediatrics, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
- * E-mail: (SCP); (GAS)
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O'Reilly LP, Long OS, Cobanoglu MC, Benson JA, Luke CJ, Miedel MT, Hale P, Perlmutter DH, Bahar I, Silverman GA, Pak SC. A genome-wide RNAi screen identifies potential drug targets in a C. elegans model of α1-antitrypsin deficiency. Hum Mol Genet 2014; 23:5123-32. [PMID: 24838285 DOI: 10.1093/hmg/ddu236] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
α1-Antitrypsin deficiency (ATD) is a common genetic disorder that can lead to end-stage liver and lung disease. Although liver transplantation remains the only therapy currently available, manipulation of the proteostasis network (PN) by small molecule therapeutics offers great promise. To accelerate the drug-discovery process for this disease, we first developed a semi-automated high-throughput/content-genome-wide RNAi screen to identify PN modifiers affecting the accumulation of the α1-antitrypsin Z mutant (ATZ) in a Caenorhabditis elegans model of ATD. We identified 104 PN modifiers, and these genes were used in a computational strategy to identify human ortholog-ligand pairs. Based on rigorous selection criteria, we identified four FDA-approved drugs directed against four different PN targets that decreased the accumulation of ATZ in C. elegans. We also tested one of the compounds in a mammalian cell line with similar results. This methodology also proved useful in confirming drug targets in vivo, and predicting the success of combination therapy. We propose that small animal models of genetic disorders combined with genome-wide RNAi screening and computational methods can be used to rapidly, economically and strategically prime the preclinical discovery pipeline for rare and neglected diseases with limited therapeutic options.
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Affiliation(s)
| | | | - Murat C Cobanoglu
- Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee-Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | | | | | | | | | | | - Ivet Bahar
- Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee-Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
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15
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Long OS, Benson JA, Kwak JH, Luke CJ, Gosai SJ, O'Reilly LP, Wang Y, Li J, Vetica AC, Miedel MT, Stolz DB, Watkins SC, Züchner S, Perlmutter DH, Silverman GA, Pak SC. A C. elegans model of human α1-antitrypsin deficiency links components of the RNAi pathway to misfolded protein turnover. Hum Mol Genet 2014; 23:5109-22. [PMID: 24838286 DOI: 10.1093/hmg/ddu235] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The accumulation of serpin oligomers and polymers within the endoplasmic reticulum (ER) causes cellular injury in patients with the classical form α1-antitrypsin deficiency (ATD). To better understand the cellular and molecular genetic aspects of this disorder, we generated transgenic C. elegans strains expressing either the wild-type (ATM) or Z mutant form (ATZ) of the human serpin fused to GFP. Animals secreted ATM, but retained polymerized ATZ within dilated ER cisternae. These latter animals also showed slow growth, smaller brood sizes and decreased longevity; phenotypes observed in ATD patients or transgenic mouse lines expressing ATZ. Similar to mammalian models, ATZ was disposed of by autophagy and ER-associated degradation pathways. Mutant strains defective in insulin signaling (daf-2) also showed a marked decrease in ATZ accumulation. Enhanced ATZ turnover was associated with the activity of two proteins central to systemic/exogenous (exo)-RNAi pathway: the dsRNA importer, SID-1 and the argonaute, RDE-1. Animals with enhanced exo-RNAi activity (rrf-3 mutant) phenocopied the insulin signaling mutants and also showed increased ATZ turnover. Taken together, these studies allude to the existence of a novel proteostasis pathway that mechanistically links misfolded protein turnover to components of the systemic RNAi machinery.
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Affiliation(s)
- Olivia S Long
- Departments of Pediatrics, Cell Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | - Joshua A Benson
- Departments of Pediatrics, Cell Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | - Joon Hyeok Kwak
- Departments of Pediatrics, Cell Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | - Cliff J Luke
- Departments of Pediatrics, Cell Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | - Sager J Gosai
- Departments of Pediatrics, Cell Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | - Linda P O'Reilly
- Departments of Pediatrics, Cell Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | - Yan Wang
- Departments of Pediatrics, Cell Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | - Jie Li
- Departments of Pediatrics, Cell Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | - Anne C Vetica
- Departments of Pediatrics, Cell Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | - Mark T Miedel
- Departments of Pediatrics, Cell Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | - Donna B Stolz
- Center for Biologic Imaging, University of Pittsburgh School of Medicine, 3500 Terrace Street, S233 BST, Pittsburgh, PA 15261, USA
| | - Simon C Watkins
- Center for Biologic Imaging, University of Pittsburgh School of Medicine, 3500 Terrace Street, S233 BST, Pittsburgh, PA 15261, USA
| | - Stephan Züchner
- Department of Human Genetics and Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, 1501 NW 10th Avenue, Miami, FL 33136, USA
| | - David H Perlmutter
- Departments of Pediatrics, Cell Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | - Gary A Silverman
- Departments of Pediatrics, Cell Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | - Stephen C Pak
- Departments of Pediatrics, Cell Biology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee Womens Hospital Research Institute, 4401 Penn Avenue, Pittsburgh, PA 15224, USA,
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16
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Miedel MT, Zeng X, Yates NA, Silverman GA, Luke CJ. Isolation of serpin-interacting proteins in C. elegans using protein affinity purification. Methods 2014; 68:536-41. [PMID: 24798811 DOI: 10.1016/j.ymeth.2014.04.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2014] [Revised: 04/22/2014] [Accepted: 04/24/2014] [Indexed: 10/25/2022] Open
Abstract
Caenorhabditis elegans is a useful model organism for combining multiple imaging, genetic, and biochemical methodologies to gain more insight into the biological function of specific proteins. Combining both biochemical and genetic analyses can lead to a better understanding of how a given protein may function within the context of a network of other proteins or specific pathway. Here, we describe a protocol for the biochemical isolation of serpin-interacting proteins using affinity purification and proteomic analysis. As the knowledge of in vivo serpin interacting partners in C. elegans has largely been obtained using genetic and in vitro recombinant protein studies, this protocol serves as a complementary approach to provide insight into the biological function and regulation of serpins.
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Affiliation(s)
- Mark T Miedel
- Department of Pediatrics, Cell Biology and Physiology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, and Magee-Womens Hospital of UPMC, Pittsburgh, PA 15224, USA
| | - Xuemei Zeng
- Biomedical Mass Spectrometry Center, University of Pittsburgh Schools of the Health Sciences, Pittsburgh, PA 15213, USA
| | - Nathan A Yates
- Biomedical Mass Spectrometry Center, University of Pittsburgh Schools of the Health Sciences, Pittsburgh, PA 15213, USA; Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Gary A Silverman
- Department of Pediatrics, Cell Biology and Physiology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, and Magee-Womens Hospital of UPMC, Pittsburgh, PA 15224, USA
| | - Cliff J Luke
- Department of Pediatrics, Cell Biology and Physiology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, and Magee-Womens Hospital of UPMC, Pittsburgh, PA 15224, USA.
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Miedel MT, Graf NJ, Stephen KE, Long OS, Pak SC, Perlmutter DH, Silverman GA, Luke CJ. A pro-cathepsin L mutant is a luminal substrate for endoplasmic-reticulum-associated degradation in C. elegans. PLoS One 2012; 7:e40145. [PMID: 22768338 PMCID: PMC3388072 DOI: 10.1371/journal.pone.0040145] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2012] [Accepted: 06/01/2012] [Indexed: 11/29/2022] Open
Abstract
Endoplasmic-reticulum associated degradation (ERAD) is a major cellular misfolded protein disposal pathway that is well conserved from yeast to mammals. In yeast, a mutant of carboxypeptidase Y (CPY*) was found to be a luminal ER substrate and has served as a useful marker to help identify modifiers of the ERAD pathway. Due to its ease of genetic manipulation and the ability to conduct a genome wide screen for modifiers of molecular pathways, C. elegans has become one of the preferred metazoans for studying cell biological processes, such as ERAD. However, a marker of ERAD activity comparable to CPY* has not been developed for this model system. We describe a mutant of pro-cathepsin L fused to YFP that no longer targets to the lysosome, but is efficiently eliminated by the ERAD pathway. Using this mutant pro-cathepsin L, we found that components of the mammalian ERAD system that participate in the degradation of ER luminal substrates were conserved in C. elegans. This transgenic line will facilitate high-throughput genetic or pharmacological screens for ERAD modifiers using widefield epifluorescence microscopy.
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Affiliation(s)
- Mark T. Miedel
- Department of Pediatrics, Cell Biology and Physiology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee-Womens Hospital of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Nathan J. Graf
- Department of Pediatrics, Cell Biology and Physiology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee-Womens Hospital of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Kate E. Stephen
- Department of Pediatrics, Cell Biology and Physiology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee-Womens Hospital of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Olivia S. Long
- Department of Pediatrics, Cell Biology and Physiology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee-Womens Hospital of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Stephen C. Pak
- Department of Pediatrics, Cell Biology and Physiology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee-Womens Hospital of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - David H. Perlmutter
- Department of Pediatrics, Cell Biology and Physiology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee-Womens Hospital of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Gary A. Silverman
- Department of Pediatrics, Cell Biology and Physiology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee-Womens Hospital of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Cliff J. Luke
- Department of Pediatrics, Cell Biology and Physiology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC and Magee-Womens Hospital of UPMC, Pittsburgh, Pennsylvania, United States of America
- * E-mail:
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18
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Colletti GA, Miedel MT, Quinn J, Andharia N, Weisz OA, Kiselyov K. Loss of lysosomal ion channel transient receptor potential channel mucolipin-1 (TRPML1) leads to cathepsin B-dependent apoptosis. J Biol Chem 2012; 287:8082-91. [PMID: 22262857 DOI: 10.1074/jbc.m111.285536] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Mucolipidosis type IV (MLIV) is a lysosomal storage disease caused by mutations in the gene MCOLN1, which codes for the transient receptor potential family ion channel TRPML1. MLIV has an early onset and is characterized by developmental delays, motor and cognitive deficiencies, gastric abnormalities, retinal degeneration, and corneal cloudiness. The degenerative aspects of MLIV have been attributed to cell death, whose mechanisms remain to be delineated in MLIV and in most other storage diseases. Here we report that an acute siRNA-mediated loss of TRPML1 specifically causes a leak of lysosomal protease cathepsin B (CatB) into the cytoplasm. CatB leak is associated with apoptosis, which can be prevented by CatB inhibition. Inhibition of the proapoptotic protein Bax prevents TRPML1 KD-mediated apoptosis but does not prevent cytosolic release of CatB. This is the first evidence of a mechanistic link between acute TRPML1 loss and cell death.
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Affiliation(s)
- Grace A Colletti
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
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19
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Bhatia SR, Miedel MT, Chotoo CK, Graf NJ, Hood BL, Conrads TP, Silverman GA, Luke CJ. Using C. elegans to identify the protease targets of serpins in vivo. Methods Enzymol 2011; 499:283-99. [PMID: 21683259 DOI: 10.1016/b978-0-12-386471-0.00014-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2023]
Abstract
Most serpins inhibit serine and/or cysteine proteases, and their inhibitory activities are usually defined in vitro. However, the physiological protease targets of most serpins are unknown despite many years of research. This may be due to the rapid degradation of the inactive serpin:protease complexes and/or the conditions under which the serpin inhibits the protease. The model organism Caenorhabditis elegans is an ideal system for identifying protease targets due to powerful forward and reverse genetics, as well as the ease of creating transgenic animals. Using combinatorial approaches of genetics and biochemistry in C. elegans, the true in vivo protease targets of the endogenous serpins can be elucidated.
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Affiliation(s)
- Sangeeta R Bhatia
- Department of Pediatrics, Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
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20
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Miedel MT, Rbaibi Y, Guerriero CJ, Colletti G, Weixel KM, Weisz OA, Kiselyov K. Membrane traffic and turnover in TRP-ML1-deficient cells: a revised model for mucolipidosis type IV pathogenesis. J Biophys Biochem Cytol 2008. [DOI: 10.1083/jcb1815oia17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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21
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Miedel MT, Rbaibi Y, Guerriero CJ, Colletti G, Weixel KM, Weisz OA, Kiselyov K. Membrane traffic and turnover in TRP-ML1-deficient cells: a revised model for mucolipidosis type IV pathogenesis. ACTA ACUST UNITED AC 2008; 205:1477-90. [PMID: 18504305 PMCID: PMC2413042 DOI: 10.1084/jem.20072194] [Citation(s) in RCA: 84] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The lysosomal storage disorder mucolipidosis type IV (MLIV) is caused by mutations in the transient receptor potential-mucolipin-1 (TRP-ML1) ion channel. The "biogenesis" model for MLIV pathogenesis suggests that TRP-ML1 modulates postendocytic delivery to lysosomes by regulating interactions between late endosomes and lysosomes. This model is based on observed lipid trafficking delays in MLIV patient fibroblasts. Because membrane traffic aberrations may be secondary to lipid buildup in chronically TRP-ML1-deficient cells, we depleted TRP-ML1 in HeLa cells using small interfering RNA and examined the effects on cell morphology and postendocytic traffic. TRP-ML1 knockdown induced gradual accumulation of membranous inclusions and, thus, represents a good model in which to examine the direct effects of acute TRP-ML1 deficiency on membrane traffic. Ratiometric imaging revealed decreased lysosomal pH in TRP-ML1-deficient cells, suggesting a disruption in lysosomal function. Nevertheless, we found no effect of TRP-ML1 knockdown on the kinetics of protein or lipid delivery to lysosomes. In contrast, by comparing degradation kinetics of low density lipoprotein constituents, we confirmed a selective defect in cholesterol but not apolipoprotein B hydrolysis in MLIV fibroblasts. We hypothesize that the effects of TRP-ML1 loss on hydrolytic activity have a cumulative effect on lysosome function, resulting in a lag between TRP-ML1 loss and full manifestation of MLIV.
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Affiliation(s)
- Mark T Miedel
- Renal-Electrolyte Division, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
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22
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Miedel MT, Rbaibi Y, Kiselyov K, Weisz OA. Uncovering the role of mucolipin‐1 in the pathogenesis of the lysosomal storage disease mucolipidosis type IV. FASEB J 2007. [DOI: 10.1096/fasebj.21.5.a548-b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Mark T. Miedel
- Renal Electrolyte DivisionUniversity of Pittsburgh3550 Terrace StreetPittsburghPA15261
| | - Youssef Rbaibi
- Department of Biological SciencesUniversity of Pittsburgh4249 Fifth AvenuePittsburghPA15260
| | - Kirill Kiselyov
- Department of Biological SciencesUniversity of Pittsburgh4249 Fifth AvenuePittsburghPA15260
| | - Ora A. Weisz
- Renal Electrolyte DivisionUniversity of Pittsburgh3550 Terrace StreetPittsburghPA15261
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23
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Miedel MT, Weixel KM, Bruns JR, Traub LM, Weisz OA. Posttranslational cleavage and adaptor protein complex-dependent trafficking of mucolipin-1. J Biol Chem 2006; 281:12751-9. [PMID: 16517607 DOI: 10.1074/jbc.m511104200] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Mucolipin-1 (ML1) is a member of the transient receptor potential ion channel superfamily that is thought to function in the biogenesis of lysosomes. Mutations in ML1 result in mucolipidosis type IV, a lysosomal storage disease characterized by the intracellular accumulation of enlarged vacuolar structures containing phospholipids, sphingolipids, and mucopolysaccharides. Little is known about how ML1 trafficking or activity is regulated. Here we have examined the processing and trafficking of ML1 in a variety of cell types. We find that a significant fraction of ML1 undergoes cell type-independent cleavage within the first extracellular loop of the protein during a late step in its biosynthetic delivery. To determine the trafficking route of ML1, we systematically examined the effect of ablating adaptor protein complexes on the localization of this protein. Whereas ML1 trafficking was not apparently affected in fibroblasts from mocha mice that lack functional adaptor protein complex (AP)-3, small interfering RNA-mediated knockdown revealed a requirement for AP-1 in Golgi export of ML1. Knockdown of functional AP-2 had no effect on ML1 localization. Interestingly, cleavage of ML1 was not compromised in AP-1-deficient cells, suggesting that proteolysis occurs in a prelysosomal compartment, possibly the trans-Golgi network. Our results suggest that posttranslational processing of ML1 is more complex than previously described and that this protein is delivered to lysosomes primarily via an AP-1-dependent route that does not involve passage via the cell surface.
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Affiliation(s)
- Mark T Miedel
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA
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Abstract
Polarized epithelial cells efficiently sort newly synthesized apical and basolateral proteins into distinct transport carriers that emerge from the trans-Golgi network (TGN), and this sorting is recapitulated in nonpolarized cells. While the targeting signals of basolaterally destined proteins are generally cytoplasmically disposed, apical sorting signals are not typically accessible to the cytosol, and the transport machinery required for segregation and export of apical cargo remains largely unknown. Here we investigated the molecular requirements for TGN export of the apical marker influenza hemagglutinin (HA) in HeLa cells using an in vitro reconstitution assay. HA was released from the TGN in intact membrane-bound compartments, and export was dependent on addition of an ATP-regenerating system and exogenous cytosol. HA release was inhibited by guanosine 5'-O-(3-thiotriphosphate) (GTPgammaS) as well as under conditions known to negatively regulate apical transport in vivo, including expression of the acid-activated proton channel influenza M2. Interestingly, release of HA was unaffected by depletion of ADP-ribosylation factor 1, a small GTPase that has been implicated in the recruitment of all known adaptors and coat proteins to the Golgi complex. Furthermore, regulation of HA release by GTPgammaS or M2 expression was unaffected by cytosolic depletion of ADP-ribosylation factor 1, suggesting that HA sorting remains functionally intact in the absence of the small GTPase. These data suggest that TGN sorting and export of influenza HA does not require classical adaptors involved in the formation of other classes of exocytic carriers and thus appears to proceed via a novel mechanism.
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Affiliation(s)
- Mark A Ellis
- Laboratory of Epithelial Cell Biology, Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA
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