A monoclonal antibody targeting nonjunctional claudin-1 inhibits fibrosis in patient-derived models by modulating cell plasticity

Tissue fibrosis is a key driver of end-stage organ failure and cancer, overall accounting for up to 45% of deaths in developed countries. There is a large unmet medical need for antifibrotic therapies. Claudin-1 (CLDN1) is a member of the tight junction protein family. Although the role of CLDN1 incorporated in tight junctions is well established, the function of nonjunctional CLDN1 (njCLDN1) is largely unknown. Using highly specific monoclonal antibodies targeting a conformation-dependent epitope of exposed njCLDN1, we show in patient-derived liver three-dimensional fibrosis and human liver chimeric mouse models that CLDN1 is a mediator and target for liver fibrosis. Targeting CLDN1 reverted inflammation-induced hepatocyte profibrogenic signaling and cell fate and suppressed the myofibroblast differentiation of hepatic stellate cells. Safety studies of a fully humanized antibody in nonhuman primates did not reveal any serious adverse events even at high steady-state concentrations. Our results provide preclinical proof of concept for CLDN1-specific monoclonal antibodies for the treatment of advanced liver fibrosis and cancer prevention. Antifibrotic effects in lung and kidney fibrosis models further indicate a role of CLDN1 as a therapeutic target for tissue fibrosis across organs. In conclusion, our data pave the way for further therapeutic exploration of CLDN1-targeting therapies for fibrotic diseases in patients. Description Claudin-1 is a mediator of and therapeutic target for organ fibrosis. Profibrotic protein Claudin-1 Profibrotic protein claudin-1Claudin-1 (CLDN1) protein is a well-studied component of tight junctions, but its role outside of such junctions is not as well described. Using patient-derived organoids and human liver chimeric mouse models, Roehlen et al. now show that non-junctional CLDN1 plays a role in the progression of liver fibrosis. Monoclonal antibodies targeting CLDN1 inhibited fibrosis progression in the liver models and in proof-of-principle lung and kidney fibrosis models, suggesting this protein is a potential anti-fibrotic therapeutic target.—CAC

[1]  H. Moseley,et al.  Hepatic kinome atlas: An in‐depth identification of kinase pathways in liver fibrosis of humans and rodents , 2022, Hepatology.

[2]  A. Regev,et al.  Single‐Cell, Single‐Nucleus, and Spatial RNA Sequencing of the Human Liver Identifies Cholangiocyte and Mesenchymal Heterogeneity , 2021, Hepatology communications.

[3]  A. Regev,et al.  A human liver cell-based system modeling a clinical prognostic liver signature for therapeutic discovery , 2021, Nature Communications.

[4]  J. Groten,et al.  Kinase activity profiling identifies putative downstream targets of cGMP/PKG signaling in inherited retinal neurodegeneration , 2021, bioRxiv.

[5]  R. Bourgon,et al.  Cross-tissue organization of the fibroblast lineage , 2021, Nature.

[6]  T. Luedde,et al.  JNK signaling prevents biliary cyst formation through a CASPASE-8–dependent function of RIPK1 during aging , 2021, Proceedings of the National Academy of Sciences.

[7]  K. Cusi,et al.  A Placebo-Controlled Trial of Subcutaneous Semaglutide in Nonalcoholic Steatohepatitis. , 2020, The New England journal of medicine.

[8]  Raphael Gottardo,et al.  Integrated analysis of multimodal single-cell data , 2020, Cell.

[9]  I. Goldstein,et al.  Protocol for Primary Mouse Hepatocyte Isolation , 2020, STAR protocols.

[10]  Asher Mullard FDA rejects NASH drug , 2020, Nature Reviews Drug Discovery.

[11]  J. Loyd,et al.  Single-cell RNA sequencing reveals profibrotic roles of distinct epithelial and mesenchymal lineages in pulmonary fibrosis , 2020, Science Advances.

[12]  N. Habib,et al.  Delivery of Oligonucleotides to the Liver with GalNAc: From Research to Registered Therapeutic Drug. , 2020, Molecular therapy : the journal of the American Society of Gene Therapy.

[13]  Alexandre M.J.J. Bonvin,et al.  A protocol for information-driven antibody-antigen modelling with the HADDOCK2.4 webserver , 2020, 2005.03283.

[14]  E. Crouchet,et al.  Liver Fibrosis: Mechanistic Concepts and Therapeutic Perspectives , 2020, Cells.

[15]  A. Ortiz,et al.  Targeting the progression of chronic kidney disease , 2020, Nature Reviews Nephrology.

[16]  Sungjin Ko,et al.  Liver Progenitors and Adult Cell Plasticity in Hepatic Injury and Repair: Knowns and Unknowns. , 2020, Annual review of pathology.

[17]  Jim Freeth,et al.  New Advances in Cell Microarray Technology to Expand Applications in Target Deconvolution and Off-Target Screening , 2019, SLAS discovery : advancing life sciences R & D.

[18]  Victoria Sanz-Moreno,et al.  Faculty Opinions recommendation of QuPath: Open source software for digital pathology image analysis. , 2019, Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature.

[19]  R. Irizarry ggplot2 , 2019, Introduction to Data Science.

[20]  B. Neuschwander‐Tetri,et al.  Resmetirom (MGL-3196) for the treatment of non-alcoholic steatohepatitis: a multicentre, randomised, double-blind, placebo-controlled, phase 2 trial , 2019, The Lancet.

[21]  Jonathan A. Kropski,et al.  Single-cell RNA-sequencing reveals profibrotic roles of distinct epithelial and mesenchymal lineages in pulmonary fibrosis , 2019, bioRxiv.

[22]  C. Ponting,et al.  Resolving the fibrotic niche of human liver cirrhosis at single cell level , 2019, Nature.

[23]  S. Carr,et al.  Combined Analysis of Metabolomes, Proteomes, and Transcriptomes of Hepatitis C Virus-Infected Cells and Liver to Identify Pathways Associated With Disease Development. , 2019, Gastroenterology.

[24]  Dominic Grün,et al.  A Human Liver Cell Atlas reveals Heterogeneity and Epithelial Progenitors , 2019, Nature.

[25]  K. Beningo,et al.  Integrins, CAFs and Mechanical Forces in the Progression of Cancer , 2019, Cancers.

[26]  M. Imamura,et al.  HCV-Induced Epigenetic Changes Associated With Liver Cancer Risk Persist After Sustained Virologic Response , 2019, Gastroenterology.

[27]  Robert Abel,et al.  OPLS3e: Extending Force Field Coverage for Drug-Like Small Molecules. , 2019, Journal of chemical theory and computation.

[28]  S. Glaser,et al.  Ductular Reaction in Liver Diseases: Pathological Mechanisms and Translational Significances , 2018, Hepatology.

[29]  M. Strek,et al.  Pharmacological management of progressive-fibrosing interstitial lung diseases: a review of the current evidence , 2018, European Respiratory Review.

[30]  Jean-Charles Carvaillo,et al.  TTClust: A Versatile Molecular Simulation Trajectory Clustering Program with Graphical Summaries , 2018, J. Chem. Inf. Model..

[31]  P. Dhawan,et al.  Tight junction proteins in gastrointestinal and liver disease , 2018, Gut.

[32]  V. de Lédinghen,et al.  Noninvasive biomarkers in NAFLD and NASH — current progress and future promise , 2018, Nature Reviews Gastroenterology & Hepatology.

[33]  Scott R. Presnell,et al.  Modeling NAFLD using 3D bioprinted human liver tissue , 2018 .

[34]  Yi Wang,et al.  Predictive model for inflammation grades of chronic hepatitis B: Large‐scale analysis of clinical parameters and gene expressions , 2017, Liver international : official journal of the International Association for the Study of the Liver.

[35]  Maria Ryaboshapkina,et al.  Human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis , 2017, Scientific Reports.

[36]  D. Calvisi,et al.  Animal models of biliary injury and altered bile acid metabolism. , 2017, Biochimica et biophysica acta. Molecular basis of disease.

[37]  Russell B. Fletcher,et al.  Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics , 2017, BMC Genomics.

[38]  T. Baumert,et al.  Humanisation of a claudin-1-specific monoclonal antibody for clinical prevention and cure of HCV infection without escape , 2017, Gut.

[39]  Junfeng Du,et al.  CLDN-1 promoted the epithelial to migration and mesenchymal transition (EMT) in human bronchial epithelial cells via Notch pathway , 2017, Molecular and Cellular Biochemistry.

[40]  Peter Bankhead,et al.  QuPath: Open source software for digital pathology image analysis , 2017, Scientific Reports.

[41]  A. Subramanian,et al.  Molecular Liver Cancer Prevention in Cirrhosis by Organ Transcriptome Analysis and Lysophosphatidic Acid Pathway Inhibition. , 2016, Cancer cell.

[42]  Garrett M. Dancik,et al.  shinyGEO: a web-based application for analyzing gene expression omnibus datasets , 2016, Bioinform..

[43]  Hans Clevers,et al.  Culture and establishment of self-renewing human and mouse adult liver and pancreas 3D organoids and their genetic manipulation , 2016, Nature Protocols.

[44]  T. Hibi,et al.  Development of a novel mouse model of hepatocellular carcinoma with nonalcoholic steatohepatitis using a high-fat, choline-deficient diet and intraperitoneal injection of diethylnitrosamine , 2016, BMC Gastroenterology.

[45]  V. Lagente,et al.  Involvement of matrix metalloproteinases (MMPs) and inflammasome pathway in molecular mechanisms of fibrosis , 2016, Bioscience reports.

[46]  T. Ye,et al.  Hepatitis C Virus-Induced Upregulation of MicroRNA miR-146a-5p in Hepatocytes Promotes Viral Infection and Deregulates Metabolic Pathways Associated with Liver Disease Pathogenesis , 2016, Journal of Virology.

[47]  G. Damm,et al.  Protocol for Isolation of Primary Human Hepatocytes and Corresponding Major Populations of Non-parenchymal Liver Cells. , 2016, Journal of visualized experiments : JoVE.

[48]  G C P van Zundert,et al.  The HADDOCK2.2 Web Server: User-Friendly Integrative Modeling of Biomolecular Complexes. , 2016, Journal of molecular biology.

[49]  N. Pochet,et al.  A targeted functional RNA interference screen uncovers glypican 5 as an entry factor for hepatitis B and D viruses , 2016, Hepatology.

[50]  J. Mesirov,et al.  The Molecular Signatures Database Hallmark Gene Set Collection , 2015 .

[51]  P. Giraudi,et al.  The interplay between hepatic stellate cells and hepatocytes in an in vitro model of NASH. , 2015, Toxicology in vitro : an international journal published in association with BIBRA.

[52]  R. Kalluri,et al.  Epithelial to Mesenchymal Transition induces cell cycle arrest and parenchymal damage in renal fibrosis , 2015, Nature Medicine.

[53]  P. Roingeard,et al.  Infection of Human Liver Myofibroblasts by Hepatitis C Virus: A Direct Mechanism of Liver Fibrosis in Hepatitis C , 2015, PloS one.

[54]  Anna Vangone,et al.  Contacts-based prediction of binding affinity in protein–protein complexes , 2015, eLife.

[55]  Don C Rockey,et al.  Fibrosis--a common pathway to organ injury and failure. , 2015, The New England journal of medicine.

[56]  Georges Noel,et al.  Three-Dimensional Cell Culture: A Breakthrough in Vivo , 2015, International journal of molecular sciences.

[57]  Lars Kaderali,et al.  Clearance of persistent hepatitis C virus infection using a claudin-1-targeting monoclonal antibody , 2015, Nature Biotechnology.

[58]  Noeris K. Salam,et al.  Structure-based approach to the prediction of disulfide bonds in proteins. , 2014, Protein engineering, design & selection : PEDS.

[59]  M. Mahajan,et al.  A genomic and clinical prognostic index for hepatitis C-related early-stage cirrhosis that predicts clinical deterioration , 2014, Gut.

[60]  Richard Friesner,et al.  Antibody structure determination using a combination of homology modeling, energy‐based refinement, and loop prediction , 2014, Proteins.

[61]  P. Kaposi-Novák,et al.  Increased Expression of Claudin-1 and Claudin-7 in Liver Cirrhosis and Hepatocellular Carcinoma , 2014, Pathology & Oncology Research.

[62]  S. Murphy,et al.  Hepatic gene expression profiles differentiate presymptomatic patients with mild versus severe nonalcoholic fatty liver disease , 2014, Hepatology.

[63]  Hege S. Beard,et al.  Applying Physics-Based Scoring to Calculate Free Energies of Binding for Single Amino Acid Mutations in Protein-Protein Complexes , 2013, PloS one.

[64]  G. Yoon,et al.  Claudin-1 induces epithelial–mesenchymal transition through activation of the c-Abl-ERK signaling pathway in human liver cells , 2013, Oncogene.

[65]  L. Guarente,et al.  Renal tubular Sirt1 attenuates diabetic albuminuria by epigenetically suppressing Claudin-1 overexpression in podocytes , 2013, Nature Medicine.

[66]  Yuchang Li,et al.  Mesothelial cells give rise to hepatic stellate cells and myofibroblasts via mesothelial–mesenchymal transition in liver injury , 2013, Proceedings of the National Academy of Sciences.

[67]  Kerstin Pingel,et al.  50 Years of Image Analysis , 2012 .

[68]  P. Schirmacher,et al.  Persistence of HCV in quiescent hepatic cells under conditions of an interferon-induced antiviral response. , 2012, Gastroenterology.

[69]  M. Katze,et al.  Early transcriptional programming links progression to hepatitis C virus–induced severe liver disease in transplant patients , 2012, Hepatology.

[70]  Kevin W Eliceiri,et al.  NIH Image to ImageJ: 25 years of image analysis , 2012, Nature Methods.

[71]  Hyeon Joo,et al.  OPM database and PPM web server: resources for positioning of proteins in membranes , 2011, Nucleic Acids Res..

[72]  T. Luedde,et al.  Pharmacological inhibition of the chemokine CCL2 (MCP-1) diminishes liver macrophage infiltration and steatohepatitis in chronic hepatic injury , 2011, Gut.

[73]  M. Tsujikawa,et al.  Tumor-associated calcium signal transducer 2 is required for the proper subcellular localization of claudin 1 and 7: implications in the pathogenesis of gelatinous drop-like corneal dystrophy. , 2010, The American journal of pathology.

[74]  J. McKeating,et al.  Monoclonal anti-claudin 1 antibodies prevent hepatitis C virus infection of primary human hepatocytes. , 2010, Gastroenterology.

[75]  Arvind H. Patel,et al.  Viral entry and escape from antibody-mediated neutralization influence hepatitis C virus reinfection in liver transplantation , 2010, The Journal of experimental medicine.

[76]  B. Thornhill,et al.  Ureteral obstruction as a model of renal interstitial fibrosis and obstructive nephropathy. , 2009, Kidney international.

[77]  H. Bolte,et al.  Standardized quantification of pulmonary fibrosis in histological samples. , 2008, BioTechniques.

[78]  Aarati R. Ranade,et al.  Robust expansion of human hepatocytes in Fah−/−/Rag2−/−/Il2rg−/− mice , 2007, Nature Biotechnology.

[79]  Charles M. Rice,et al.  Claudin-1 is a hepatitis C virus co-receptor required for a late step in entry , 2007, Nature.

[80]  M. Hall,et al.  TOR Signaling in Growth and Metabolism , 2006, Cell.

[81]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[82]  Naftali Kaminski,et al.  Up-Regulation and Profibrotic Role of Osteopontin in Human Idiopathic Pulmonary Fibrosis , 2005, PLoS medicine.

[83]  O. Cummings,et al.  Design and validation of a histological scoring system for nonalcoholic fatty liver disease , 2005, Hepatology.

[84]  B. Honig,et al.  A hierarchical approach to all‐atom protein loop prediction , 2004, Proteins.

[85]  C. Dominguez,et al.  HADDOCK: a protein-protein docking approach based on biochemical or biophysical information. , 2003, Journal of the American Chemical Society.

[86]  Z. Xiang,et al.  On the role of the crystal environment in determining protein side-chain conformations. , 2002, Journal of molecular biology.

[87]  H. Berman,et al.  Electronic Reprint Biological Crystallography the Protein Data Bank Biological Crystallography the Protein Data Bank , 2022 .

[88]  Thomas D. Schmittgen,et al.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. , 2001, Methods.

[89]  S. Crawford,et al.  Phase 1 evaluation of the respiratory syncytial virus-specific monoclonal antibody palivizumab in recipients of hematopoietic stem cell transplants. , 2001, The Journal of infectious diseases.

[90]  M. Klein,et al.  Constant pressure molecular dynamics algorithms , 1994 .

[91]  M. Klein,et al.  Nosé-Hoover chains : the canonical ensemble via continuous dynamics , 1992 .

[92]  J M Simpson,et al.  Simple method of estimating severity of pulmonary fibrosis on a numerical scale. , 1988, Journal of clinical pathology.

[93]  W. L. Jorgensen,et al.  Comparison of simple potential functions for simulating liquid water , 1983 .

[94]  J. Mesirov,et al.  The Molecular Signatures Database (MSigDB) hallmark gene set collection. , 2015, Cell systems.

[95]  D. Brandeis,et al.  A Review of Current Evidence , 2014 .

[96]  R. Hilhorst,et al.  Peptide microarrays for profiling of serine/threonine kinase activity of recombinant kinases and lysates of cells and tissue samples. , 2013, Methods in molecular biology.

[97]  Cedric E. Ginestet ggplot2: Elegant Graphics for Data Analysis , 2011 .

[98]  G. Davies,et al.  Knowns and Unknowns , 2003 .

[99]  R. Tibshirani,et al.  Estimating the number of clusters in a data set via the gap statistic , 2000 .