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Bouguéon M, Legagneux V, Hazard O, Bomo J, Siegel A, Feret J, Théret N. A rule-based multiscale model of hepatic stellate cell plasticity: Critical role of the inactivation loop in fibrosis progression. PLoS Comput Biol 2024; 20:e1011858. [PMID: 39074160 PMCID: PMC11309422 DOI: 10.1371/journal.pcbi.1011858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 08/08/2024] [Accepted: 07/05/2024] [Indexed: 07/31/2024] Open
Abstract
Hepatic stellate cells (HSC) are the source of extracellular matrix (ECM) whose overproduction leads to fibrosis, a condition that impairs liver functions in chronic liver diseases. Understanding the dynamics of HSCs will provide insights needed to develop new therapeutic approaches. Few models of hepatic fibrosis have been proposed, and none of them include the heterogeneity of HSC phenotypes recently highlighted by single-cell RNA sequencing analyses. Here, we developed rule-based models to study HSC dynamics during fibrosis progression and reversion. We used the Kappa graph rewriting language, for which we used tokens and counters to overcome temporal explosion. HSCs are modeled as agents that present seven physiological cellular states and that interact with (TGFβ1) molecules which regulate HSC activation and the secretion of type I collagen, the main component of the ECM. Simulation studies revealed the critical role of the HSC inactivation process during fibrosis progression and reversion. While inactivation allows elimination of activated HSCs during reversion steps, reactivation loops of inactivated HSCs (iHSCs) are required to sustain fibrosis. Furthermore, we demonstrated the model's sensitivity to (TGFβ1) parameters, suggesting its adaptability to a variety of pathophysiological conditions for which levels of (TGFβ1) production associated with the inflammatory response differ. Using new experimental data from a mouse model of CCl4-induced liver fibrosis, we validated the predicted ECM dynamics. Our model also predicts the accumulation of iHSCs during chronic liver disease. By analyzing RNA sequencing data from patients with non-alcoholic steatohepatitis (NASH) associated with liver fibrosis, we confirmed this accumulation, identifying iHSCs as novel markers of fibrosis progression. Overall, our study provides the first model of HSC dynamics in chronic liver disease that can be used to explore the regulatory role of iHSCs in liver homeostasis. Moreover, our model can also be generalized to fibroblasts during repair and fibrosis in other tissues.
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Affiliation(s)
- Matthieu Bouguéon
- Univ Rennes, Inria, CNRS, IRISA, UMR 6074, Rennes, France
- Univ Rennes, Inserm, EHESP, Irset, UMR S1085, Rennes, France
| | | | - Octave Hazard
- École Polytechnique, Palaiseau, France
- DI-ENS (Inria, ÉNS, CNRS, PSL University), École normale supérieure, Paris, France
| | - Jérémy Bomo
- Univ Rennes, Inria, CNRS, IRISA, UMR 6074, Rennes, France
- Univ Rennes, Inserm, EHESP, Irset, UMR S1085, Rennes, France
| | - Anne Siegel
- Univ Rennes, Inria, CNRS, IRISA, UMR 6074, Rennes, France
| | - Jérôme Feret
- DI-ENS (Inria, ÉNS, CNRS, PSL University), École normale supérieure, Paris, France
- Team Antique, Inria, Paris, France
| | - Nathalie Théret
- Univ Rennes, Inria, CNRS, IRISA, UMR 6074, Rennes, France
- Univ Rennes, Inserm, EHESP, Irset, UMR S1085, Rennes, France
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2
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Walker M, Moore H, Ataya A, Pham A, Corris PA, Laubenbacher R, Bryant AJ. A perfectly imperfect engine: Utilizing the digital twin paradigm in pulmonary hypertension. Pulm Circ 2024; 14:e12392. [PMID: 38933181 PMCID: PMC11199193 DOI: 10.1002/pul2.12392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 04/08/2024] [Accepted: 05/16/2024] [Indexed: 06/28/2024] Open
Abstract
Pulmonary hypertension (PH) is a severe medical condition with a number of treatment options, the majority of which are introduced without consideration of the underlying mechanisms driving it within an individual and thus a lack of tailored approach to treatment. The one exception is a patient presenting with apparent pulmonary arterial hypertension and shown to have vaso-responsive disease, whose clinical course and prognosis is significantly improved by high dose calcium channel blockers. PH is however characterized by a relative abundance of available data from patient cohorts, ranging from molecular data characterizing gene and protein expression in different tissues to physiological data at the organ level and clinical information. Integrating available data with mechanistic information at the different scales into computational models suggests an approach to a more personalized treatment of the disease using model-based optimization of interventions for individual patients. That is, constructing digital twins of the disease, customized to a patient, promises to be a key technology for personalized medicine, with the aim of optimizing use of existing treatments and developing novel interventions, such as new drugs. This article presents a perspective on this approach in the context of a review of existing computational models for different aspects of the disease, and it lays out a roadmap for a path to realizing it.
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Affiliation(s)
- Melody Walker
- University of Florida College of MedicineGainesvilleFloridaUSA
| | - Helen Moore
- University of Florida College of MedicineGainesvilleFloridaUSA
| | - Ali Ataya
- University of Florida College of MedicineGainesvilleFloridaUSA
| | - Ann Pham
- University of Florida College of MedicineGainesvilleFloridaUSA
| | - Paul A. Corris
- The Faculty of Medical Sciences Newcastle UniversityNewcastle upon TyneUK
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Leonard-Duke J, Agro SMJ, Csordas DJ, Bruce AC, Eggertsen TG, Tavakol TN, Barker TH, Bonham CA, Saucerman JJ, Taite LJ, Peirce SM. Multiscale computational model predicts how environmental changes and drug treatments affect microvascular remodeling in fibrotic disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.15.585249. [PMID: 38559112 PMCID: PMC10979947 DOI: 10.1101/2024.03.15.585249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Investigating the molecular, cellular, and tissue-level changes caused by disease, and the effects of pharmacological treatments across these biological scales, necessitates the use of multiscale computational modeling in combination with experimentation. Many diseases dynamically alter the tissue microenvironment in ways that trigger microvascular network remodeling, which leads to the expansion or regression of microvessel networks. When microvessels undergo remodeling in idiopathic pulmonary fibrosis (IPF), functional gas exchange is impaired due to loss of alveolar structures and lung function declines. Here, we integrated a multiscale computational model with independent experiments to investigate how combinations of biomechanical and biochemical cues in IPF alter cell fate decisions leading to microvascular remodeling. Our computational model predicted that extracellular matrix (ECM) stiffening reduced microvessel area, which was accompanied by physical uncoupling of endothelial cell (ECs) and pericytes, the cells that comprise microvessels. Nintedanib, an FDA-approved drug for treating IPF, was predicted to further potentiate microvessel regression by decreasing the percentage of quiescent pericytes while increasing the percentage of pericytes undergoing pericyte-myofibroblast transition (PMT) in high ECM stiffnesses. Importantly, the model suggested that YAP/TAZ inhibition may overcome the deleterious effects of nintedanib by promoting EC-pericyte coupling and maintaining microvessel homeostasis. Overall, our combination of computational and experimental modeling can explain how cell decisions affect tissue changes during disease and in response to treatments.
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Affiliation(s)
- Julie Leonard-Duke
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
- Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, Virginia, USA
| | - Samuel M. J. Agro
- Department of Chemical Engineering, University of Virginia, Charlottesville, Virginia, USA
| | - David J. Csordas
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
- Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, Virginia, USA
| | - Anthony C. Bruce
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
| | - Taylor G. Eggertsen
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
- Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, Virginia, USA
| | - Tara N. Tavakol
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
| | - Thomas H. Barker
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
- Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, Virginia, USA
| | - Catherine A. Bonham
- Department of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Jeffery J. Saucerman
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
- Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, Virginia, USA
| | - Lakeshia J. Taite
- Department of Chemical Engineering, University of Virginia, Charlottesville, Virginia, USA
| | - Shayn M. Peirce
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
- Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, Virginia, USA
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4
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Kolanko E, Cargnoni A, Papait A, Silini AR, Czekaj P, Parolini O. The evolution of in vitro models of lung fibrosis: promising prospects for drug discovery. Eur Respir Rev 2024; 33:230127. [PMID: 38232990 DOI: 10.1183/16000617.0127-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 11/18/2023] [Indexed: 01/19/2024] Open
Abstract
Lung fibrosis is a complex process, with unknown underlying mechanisms, involving various triggers, diseases and stimuli. Different cell types (epithelial cells, endothelial cells, fibroblasts and macrophages) interact dynamically through multiple signalling pathways, including biochemical/molecular and mechanical signals, such as stiffness, affecting cell function and differentiation. Idiopathic pulmonary fibrosis (IPF) is the most common fibrosing interstitial lung disease (fILD), characterised by a notably high mortality. Unfortunately, effective treatments for advanced fILD, and especially IPF and non-IPF progressive fibrosing phenotype ILD, are still lacking. The development of pharmacological therapies faces challenges due to limited knowledge of fibrosis pathogenesis and the absence of pre-clinical models accurately representing the complex features of the disease. To address these challenges, new model systems have been developed to enhance the translatability of preclinical drug testing and bridge the gap to human clinical trials. The use of two- and three-dimensional in vitro cultures derived from healthy or diseased individuals allows for a better understanding of the underlying mechanisms responsible for lung fibrosis. Additionally, microfluidics systems, which replicate the respiratory system's physiology ex vivo, offer promising opportunities for the development of effective therapies, especially for IPF.
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Affiliation(s)
- Emanuel Kolanko
- Department of Cytophysiology, Katowice Medical University of Silesia in Katowice, Katowice, Poland
- These authors contributed equally
| | - Anna Cargnoni
- Fondazione Poliambulanza Istituto Ospedaliero, Centro di Ricerca E. Menni, Brescia, Italy
- These authors contributed equally
| | - Andrea Papait
- Università Cattolica del Sacro Cuore, Department Life Sciences and Public Health, Roma, Italy
- Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Roma, Italy
| | - Antonietta Rosa Silini
- Fondazione Poliambulanza Istituto Ospedaliero, Centro di Ricerca E. Menni, Brescia, Italy
| | - Piotr Czekaj
- Department of Cytophysiology, Katowice Medical University of Silesia in Katowice, Katowice, Poland
| | - Ornella Parolini
- Università Cattolica del Sacro Cuore, Department Life Sciences and Public Health, Roma, Italy
- Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Roma, Italy
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Laville C, Fetita C, Gille T, Brillet PY, Nunes H, Bernaudin JF, Genet M. Comparison of optimization parametrizations for regional lung compliance estimation using personalized pulmonary poromechanical modeling. Biomech Model Mechanobiol 2023; 22:1541-1554. [PMID: 36913005 PMCID: PMC10009868 DOI: 10.1007/s10237-023-01691-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 01/09/2023] [Indexed: 03/14/2023]
Abstract
Interstitial lung diseases, such as idiopathic pulmonary fibrosis (IPF) or post-COVID-19 pulmonary fibrosis, are progressive and severe diseases characterized by an irreversible scarring of interstitial tissues that affects lung function. Despite many efforts, these diseases remain poorly understood and poorly treated. In this paper, we propose an automated method for the estimation of personalized regional lung compliances based on a poromechanical model of the lung. The model is personalized by integrating routine clinical imaging data - namely computed tomography images taken at two breathing levels in order to reproduce the breathing kinematic-notably through an inverse problem with fully personalized boundary conditions that is solved to estimate patient-specific regional lung compliances. A new parametrization of the inverse problem is introduced in this paper, based on the combined estimation of a personalized breathing pressure in addition to material parameters, improving the robustness and consistency of estimation results. The method is applied to three IPF patients and one post-COVID-19 patient. This personalized model could help better understand the role of mechanics in pulmonary remodeling due to fibrosis; moreover, patient-specific regional lung compliances could be used as an objective and quantitative biomarker for improved diagnosis and treatment follow up for various interstitial lung diseases.
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Affiliation(s)
- Colin Laville
- Laboratoire de Mécanique des Solides, École Polytechnique/CNRS/IPP, Palaiseau, France
- Inria, Palaiseau, France
| | | | - Thomas Gille
- Hypoxie et Poumon, Université Sorbonne Paris Nord/INSERM, Bobigny, France
- Hôpital Avicenne, APHP, Bobigny, France
| | - Pierre-Yves Brillet
- Hypoxie et Poumon, Université Sorbonne Paris Nord/INSERM, Bobigny, France
- Hôpital Avicenne, APHP, Bobigny, France
| | - Hilario Nunes
- Hypoxie et Poumon, Université Sorbonne Paris Nord/INSERM, Bobigny, France
- Hôpital Avicenne, APHP, Bobigny, France
| | | | - Martin Genet
- Laboratoire de Mécanique des Solides, École Polytechnique/CNRS/IPP, Palaiseau, France
- Inria, Palaiseau, France
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6
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Yadav VK, Choudhary N, Inwati GK, Rai A, Singh B, Solanki B, Paital B, Sahoo DK. Recent trends in the nanozeolites-based oxygen concentrators and their application in respiratory disorders. Front Med (Lausanne) 2023; 10:1147373. [PMID: 37181347 PMCID: PMC10174459 DOI: 10.3389/fmed.2023.1147373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 04/05/2023] [Indexed: 05/16/2023] Open
Abstract
Medical-grade oxygen is the basic need for all medical complications, especially in respiratory-based discomforts. There was a drastic increase in the demand for medical-grade oxygen during the current pandemic. The non-availability of medical-grade oxygen led to several complications, including death. The oxygen concentrator was only the last hope for the patient during COVID-19 pandemic around the globe. The demands also are everlasting during other microbial respiratory infections. The yield of oxygen using conventional molecular zeolites in the traditional oxygen concentrator process is less than the yield noticed when its nano-form is used. Nanotechnology has enlightened hope for the efficient production of oxygen by such oxygen concentrators. Here in the current review work, the authors have highlighted the basic structural features of oxygen concentrators along with the current working principle. Besides, it has been tried to bridge the gap between conventional oxygen concentrators and advanced ones by using nanotechnology. Nanoparticles being usually within 100 nm in size have a high surface area to volume ratio, which makes them suitable adsorbents for oxygen. Here authors have suggested the use of nano zeolite in place of molecular zeolites in the oxygen concentrator for efficient delivery of oxygen by the oxygen concentrators.
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Affiliation(s)
- Virendra Kumar Yadav
- Department of Biosciences, School of Liberal Arts and Sciences, Mody University of Science and Technology, Lakshmangarh, Rajasthan, India
- Department of Life Sciences, Hemchandracharya North Gujarat University, Patan, Gujarat, India
- *Correspondence: Virendra Kumar Yadav,
| | - Nisha Choudhary
- Department of Life Sciences, Hemchandracharya North Gujarat University, Patan, Gujarat, India
- Department of Environment Sciences, School of Sciences, P P Savani University, Surat, Gujarat, India
| | | | - Ashita Rai
- School of Environment and Sustainable Development, Central University of Gujarat, Gandhinagar, Gujarat, India
| | - Bijendra Singh
- School of Chemical Sciences, Central University of Gujarat, Gandhinagar, Gujarat, India
| | - Bharat Solanki
- Department of Biochemistry, M B Patel Science College, Anand, Gujarat, India
| | - Biswaranjan Paital
- Redox Regulation Laboratory, Department of Zoology, College of Basic Science and Humanities, Odisha University of Agriculture and Technology, Bhubaneswar, India
- Biswaranjan Paital,
| | - Dipak Kumar Sahoo
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
- Dipak Kumar Sahoo, ;
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7
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Neelakantan S, Xin Y, Gaver DP, Cereda M, Rizi R, Smith BJ, Avazmohammadi R. Computational lung modelling in respiratory medicine. J R Soc Interface 2022; 19:20220062. [PMID: 35673857 PMCID: PMC9174712 DOI: 10.1098/rsif.2022.0062] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Computational modelling of the lungs is an active field of study that integrates computational advances with lung biophysics, biomechanics, physiology and medical imaging to promote individualized diagnosis, prognosis and therapy evaluation in lung diseases. The complex and hierarchical architecture of the lung offers a rich, but also challenging, research area demanding a cross-scale understanding of lung mechanics and advanced computational tools to effectively model lung biomechanics in both health and disease. Various approaches have been proposed to study different aspects of respiration, ranging from compartmental to discrete micromechanical and continuum representations of the lungs. This article reviews several developments in computational lung modelling and how they are integrated with preclinical and clinical data. We begin with a description of lung anatomy and how different tissue components across multiple length scales affect lung mechanics at the organ level. We then review common physiological and imaging data acquisition methods used to inform modelling efforts. Building on these reviews, we next present a selection of model-based paradigms that integrate data acquisitions with modelling to understand, simulate and predict lung dynamics in health and disease. Finally, we highlight possible future directions where computational modelling can improve our understanding of the structure–function relationship in the lung.
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Affiliation(s)
- Sunder Neelakantan
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, USA
| | - Yi Xin
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Donald P. Gaver
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, USA
| | - Maurizio Cereda
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rahim Rizi
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Bradford J. Smith
- Department of Bioengineering, University of Colorado Denver
- Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatric Pulmonary and Sleep Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Reza Avazmohammadi
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, USA
- J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA
- Department of Cardiovascular Sciences, Houston Methodist Academic Institute, Houston, TX, USA
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8
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Abstract
Multiscale computational modeling aims to connect the complex networks of effects at different length and/or time scales. For example, these networks often include intracellular molecular signaling, crosstalk, and other interactions between neighboring cell populations, and higher levels of emergent phenomena across different regions of tissues and among collections of tissues or organs interacting with each other in the whole body. Recent applications of multiscale modeling across intracellular, cellular, and/or tissue levels are highlighted here. These models incorporated the roles of biochemical and biomechanical modulation in processes that are implicated in the mechanisms of several diseases including fibrosis, joint and bone diseases, respiratory infectious diseases, and cancers.
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Rogers JD, Holmes JW, Saucerman JJ, Richardson WJ. Mechano-chemo signaling interactions modulate matrix production by cardiac fibroblasts. Matrix Biol Plus 2021; 10:100055. [PMID: 34195592 PMCID: PMC8233457 DOI: 10.1016/j.mbplus.2020.100055] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 11/23/2020] [Accepted: 11/23/2020] [Indexed: 01/20/2023] Open
Abstract
Extracellular matrix remodeling after myocardial infarction occurs in a dynamic environment in which local mechanical stresses and biochemical signaling species stimulate the accumulation of collagen-rich scar tissue. It is well-known that cardiac fibroblasts regulate post-infarction matrix turnover by secreting matrix proteins, proteases, and protease inhibitors in response to both biochemical stimuli and mechanical stretch, but how these stimuli act together to dictate cellular responses is still unclear. We developed a screen of cardiac fibroblast-secreted proteins in response to combinations of biochemical agonists and cyclic uniaxial stretch in order to elucidate the relationships between stretch, biochemical signaling, and cardiac matrix turnover. We found that stretch significantly synergized with biochemical agonists to inhibit the secretion of matrix metalloproteinases, with stretch either amplifying protease suppression by individual agonists or antagonizing agonist-driven upregulation of protease expression. Stretch also modulated fibroblast sensitivity towards biochemical agonists by either sensitizing cells towards agonists that suppress protease secretion or de-sensitizing cells towards agonists that upregulate protease secretion. These findings suggest that the mechanical environment can significantly alter fibrosis-related signaling in cardiac fibroblasts, suggesting caution when extrapolating in vitro data to predict effects of fibrosis-related cytokines in situations like myocardial infarction where mechanical stretch occurs.
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Affiliation(s)
- Jesse D. Rogers
- Department of Bioengineering, Clemson University, Clemson, SC, USA
| | - Jeffrey W. Holmes
- Departments of Biomedical Engineering, Medicine/Cardiovascular Disease, and Surgery/Cardiothoracic Surgery, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jeffrey J. Saucerman
- Department of Biomedical Engineering and Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, USA
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Mycobacterium tuberculosis Load in Host Cells and the Antibacterial Activity of Alveolar Macrophages Are Linked and Differentially Regulated in Various Lung Lesions of Patients with Pulmonary Tuberculosis. Int J Mol Sci 2021; 22:ijms22073452. [PMID: 33810600 PMCID: PMC8037353 DOI: 10.3390/ijms22073452] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 03/17/2021] [Accepted: 03/22/2021] [Indexed: 02/07/2023] Open
Abstract
Tuberculosis (TB) is a disease caused by Mycobacterium tuberculosis (Mtb) infection with the formation of a broad range of abnormal lung lesions within a single patient. Although host-pathogen interactions determine disease outcome, they are poorly understood within individual lesions at different stages of maturation. We compared Mtb load in a tuberculoma wall and the lung tissue distant from tuberculomas in TB patients. These data were combined with an analysis of activation and bactericidal statuses of alveolar macrophages and other cell subtypes examined both in ex vivo culture and on the histological sections obtained from the same lung lesions. The expression of pattern recognition receptors CD14, CD11b, and TLR-2, transcription factors HIF-1α, HIF-2α, and NF-κB p50 and p65, enzymes iNOS and COX-2, reactive oxygen species (ROS) biosynthesis, and lipid production were detected for various lung lesions, with individual Mtb loads in them. The walls of tuberculomas with insufficient inflammation and excessive fibrosis were identified as being the main niche for Mtb survival (single or as colonies) in non-foamy alveolar macrophages among various lung lesions examined. The identification of factors engaged in the control of Mtb infection and tissue pathology in local lung microenvironments, where host-pathogen relationships take place, is critical for the development of new therapeutic strategies.
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Beijer E, Roodenburg-Benschop C, Schimmelpennink MC, Grutters JC, Meek B, Veltkamp M. Elevated Serum Amyloid a Levels Are not Specific for Sarcoidosis but Associate with a Fibrotic Pulmonary Phenotype. Cells 2021; 10:cells10030585. [PMID: 33799927 PMCID: PMC7998834 DOI: 10.3390/cells10030585] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 02/25/2021] [Accepted: 03/03/2021] [Indexed: 12/14/2022] Open
Abstract
Elevated Serum Amyloid A (SAA) levels have been found in several inflammatory diseases, including sarcoidosis. SAA is suggested to be involved in sarcoidosis pathogenesis by involvement in granuloma formation and maintenance. We hypothesized that SAA serum levels would be higher in sarcoidosis compared to other non-infectious granulomatous and non-granulomatous diseases. SAA levels were measured in serum from sarcoidosis, Hypersensitivity pneumonitis (HP), and (eosinophilic) granulomatosis with polyangiitis ((E)GPA) patients. Idiopathic pulmonary fibrosis (IPF) patients were included as non-granulomatous disease group. SAA levels of patients with sarcoidosis (31.0 µg/mL), HP (23.4 µg/mL), (E)GPA (36.9 µg/mL), and IPF (22.1 µg/mL) were all higher than SAA levels of healthy controls (10.1 µg/mL). SAA levels did not differ between the diagnostic groups. When SAA serum levels were analyzed in sarcoidosis subgroups, fibrotic sarcoidosis patients showed higher SAA levels than sarcoidosis patients without fibrosis (47.8 µg/mL vs. 29.4 µg/mL, p = 0.005). To conclude, the observation that fibrotic sarcoidosis patients have higher SAA levels, together with our finding that SAA levels were also increased in IPF patients, suggests that SAA may next to granulomatous processes also reflect the process of fibrogenesis. Further studies should clarify the exact role of SAA in fibrosis and the underlying mechanisms involved.
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Affiliation(s)
- Els Beijer
- Interstitial Lung Diseases Centre of Excellence, Department of Pulmonology, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands; (E.B.); (C.R.-B.); (M.C.S.); (J.C.G.)
| | - Claudia Roodenburg-Benschop
- Interstitial Lung Diseases Centre of Excellence, Department of Pulmonology, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands; (E.B.); (C.R.-B.); (M.C.S.); (J.C.G.)
- Department of Medical Microbiology and Immunology, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands;
| | - Milou C. Schimmelpennink
- Interstitial Lung Diseases Centre of Excellence, Department of Pulmonology, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands; (E.B.); (C.R.-B.); (M.C.S.); (J.C.G.)
| | - Jan C. Grutters
- Interstitial Lung Diseases Centre of Excellence, Department of Pulmonology, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands; (E.B.); (C.R.-B.); (M.C.S.); (J.C.G.)
- Division of Heart and Lungs, University Medical Centre, 3584 CX Utrecht, The Netherlands
| | - Bob Meek
- Department of Medical Microbiology and Immunology, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands;
| | - Marcel Veltkamp
- Interstitial Lung Diseases Centre of Excellence, Department of Pulmonology, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands; (E.B.); (C.R.-B.); (M.C.S.); (J.C.G.)
- Division of Heart and Lungs, University Medical Centre, 3584 CX Utrecht, The Netherlands
- ILD Research, Koekoekslaan 1, 3435 CM Nieuwegein, The Netherlands
- Correspondence:
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12
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Rai N, Shihan M, Seeger W, Schermuly RT, Novoyatleva T. Genetic Delivery and Gene Therapy in Pulmonary Hypertension. Int J Mol Sci 2021; 22:ijms22031179. [PMID: 33503992 PMCID: PMC7865388 DOI: 10.3390/ijms22031179] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 01/19/2021] [Accepted: 01/20/2021] [Indexed: 02/06/2023] Open
Abstract
Pulmonary hypertension (PH) is a progressive complex fatal disease of multiple etiologies. Hyperproliferation and resistance to apoptosis of vascular cells of intimal, medial, and adventitial layers of pulmonary vessels trigger excessive pulmonary vascular remodeling and vasoconstriction in the course of pulmonary arterial hypertension (PAH), a subgroup of PH. Multiple gene mutation/s or dysregulated gene expression contribute to the pathogenesis of PAH by endorsing the proliferation and promoting the resistance to apoptosis of pulmonary vascular cells. Given the vital role of these cells in PAH progression, the development of safe and efficient-gene therapeutic approaches that lead to restoration or down-regulation of gene expression, generally involved in the etiology of the disease is the need of the hour. Currently, none of the FDA-approved drugs provides a cure against PH, hence innovative tools may offer a novel treatment paradigm for this progressive and lethal disorder by silencing pathological genes, expressing therapeutic proteins, or through gene-editing applications. Here, we review the effectiveness and limitations of the presently available gene therapy approaches for PH. We provide a brief survey of commonly existing and currently applicable gene transfer methods for pulmonary vascular cells in vitro and describe some more recent developments for gene delivery existing in the field of PH in vivo.
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Affiliation(s)
- Nabham Rai
- Excellence Cluster Cardio-Pulmonary Institute (CPI), Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Justus Liebig University of Giessen, Aulweg 130, 35392 Giessen, Germany; (N.R.); (M.S.); (W.S.); (R.T.S.)
| | - Mazen Shihan
- Excellence Cluster Cardio-Pulmonary Institute (CPI), Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Justus Liebig University of Giessen, Aulweg 130, 35392 Giessen, Germany; (N.R.); (M.S.); (W.S.); (R.T.S.)
| | - Werner Seeger
- Excellence Cluster Cardio-Pulmonary Institute (CPI), Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Justus Liebig University of Giessen, Aulweg 130, 35392 Giessen, Germany; (N.R.); (M.S.); (W.S.); (R.T.S.)
- Max Planck Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany
- Institute for Lung Health (ILH), 35392 Giessen, Germany
| | - Ralph T. Schermuly
- Excellence Cluster Cardio-Pulmonary Institute (CPI), Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Justus Liebig University of Giessen, Aulweg 130, 35392 Giessen, Germany; (N.R.); (M.S.); (W.S.); (R.T.S.)
| | - Tatyana Novoyatleva
- Excellence Cluster Cardio-Pulmonary Institute (CPI), Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Justus Liebig University of Giessen, Aulweg 130, 35392 Giessen, Germany; (N.R.); (M.S.); (W.S.); (R.T.S.)
- Correspondence:
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Machahua C, Guler SA, Horn MP, Planas-Cerezales L, Montes-Worboys A, Geiser TK, Molina-Molina M, Funke-Chambour M. Serum calprotectin as new biomarker for disease severity in idiopathic pulmonary fibrosis: a cross-sectional study in two independent cohorts. BMJ Open Respir Res 2021; 8:8/1/e000827. [PMID: 33451989 PMCID: PMC7813379 DOI: 10.1136/bmjresp-2020-000827] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 12/11/2020] [Accepted: 12/13/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Non-invasive biomarkers for the assessment of disease severity in idiopathic pulmonary fibrosis (IPF) are urgently needed. Calprotectin belongs to the S-100 proteins produced by neutrophils, which likely contribute to IPF pathogenesis. Calprotectin is a well-established biomarker in inflammatory bowel diseases. In this cross-sectional study, we aimed to establish the potential role of calprotectin as a biomarker in IPF. Specifically, we hypothesised that patients with IPF have higher serum calprotectin levels compared with healthy controls, and that calprotectin levels are associated with disease severity. METHODS Blood samples were obtained from healthy volunteers (n=26) and from two independent IPF cohorts (derivation cohort n=26, validation cohort n=66). Serum calprotectin levels were measured with a commercial kit adapted for that purpose and compared between healthy controls and patients with IPF. Clinical parameters, including forced vital capacity, diffusing capacity for carbon monoxide (DLCO) and the Composite Physiologic Index (CPI), were correlated with calprotectin serum levels. RESULTS The IPF derivation cohort showed increased serum calprotectin levels compared with healthy controls (2.47±1.67 vs 0.97±0.53 µg/mL, p<0.001). In addition, serum calprotectin levels correlated with DLCO% predicted (r=-0.53, p=0.007) and with CPI (r=0.66, p=0.007). These findings were confirmed in an independent IPF validation cohort. CONCLUSION Serum calprotectin levels are significantly increased in patients with IPF compared with healthy controls and correlate with DLCO and CPI. Calprotectin might be a potential new biomarker for disease severity in IPF.
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Affiliation(s)
- Carlos Machahua
- Department for Pulmonary Medicine, Inselspital, Bern University Hospital, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland.,Department of Pulmonary Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Sabina A Guler
- Department for Pulmonary Medicine, Inselspital, Bern University Hospital, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland.,Department of Pulmonary Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Michael P Horn
- Department of Clinical Chemistry, Inselspital University Hospital Bern, Bern, Switzerland
| | - Lurdes Planas-Cerezales
- Unit of interstitial lung disease, Department of Pneumology, University Hospital of Bellvitge L'Hospitalet de Llobregat, Barcelona, Spain.,Pneumology Research Group, Institut D'Investigació Biomedica de Bellvitge IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Ana Montes-Worboys
- Pneumology Research Group, Institut D'Investigació Biomedica de Bellvitge IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Thomas K Geiser
- Department for Pulmonary Medicine, Inselspital, Bern University Hospital, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland.,Department of Pulmonary Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Maria Molina-Molina
- Unit of interstitial lung disease, Department of Pneumology, University Hospital of Bellvitge L'Hospitalet de Llobregat, Barcelona, Spain.,Pneumology Research Group, Institut D'Investigació Biomedica de Bellvitge IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Manuela Funke-Chambour
- Department for Pulmonary Medicine, Inselspital, Bern University Hospital, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland .,Department of Pulmonary Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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DeLeon-Pennell KY, Barker TH, Lindsey ML. Fibroblasts: The arbiters of extracellular matrix remodeling. Matrix Biol 2020; 91-92:1-7. [PMID: 32504772 PMCID: PMC7434687 DOI: 10.1016/j.matbio.2020.05.006] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 05/29/2020] [Accepted: 05/29/2020] [Indexed: 12/12/2022]
Abstract
Extracellular matrix (ECM) is the foundation on which all cells and organs converge to orchestrate normal physiological functions. In the setting of pathology, the ECM is modified to incorporate additional roles, with modifications including turnover of existing ECM and deposition of new ECM. The fibroblast is center stage in coordinating both normal tissue homeostasis and response to disease. Understanding how fibroblasts work under normal conditions and are activated in response to injury or stress will provide mechanistic insight that triggers discovery of new therapeutic treatments for a wide range of disease. We highlight here fibroblast roles in the cancer, lung, and heart as example systems where fibroblasts are major contributors to homeostasis and pathology.
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Affiliation(s)
- Kristine Y DeLeon-Pennell
- Division of Cardiology, Department of Medicine, Medical University of South Carolina, and Research Service, Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC 29425, USA
| | - Thomas H Barker
- Department of Biomedical Engineering, University of Virginia, 415 Lane Road, Charlottesville, VA 22903, USA
| | - Merry L Lindsey
- Department of Cellular and Integrative Physiology, Center for Heart and Vascular Research, University of Nebraska Medical Center, 985850 Nebraska Medical Center, Omaha, NE 68198-5850, USA; and Research Service, Nebraska-Western Iowa Health Care System, Omaha, NE 68105; Research Service, Nebraska-Western Iowa Health Care System, Omaha, NE 68105.
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