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Kostadinova R, Ströbel S, Chen L, Fiaschetti-Egli K, Gadient J, Pawlowska A, Petitjean L, Bieri M, Thoma E, Petitjean M. Digital pathology with artificial intelligence analysis provides insight to the efficacy of anti-fibrotic compounds in human 3D MASH model. Sci Rep 2024; 14:5885. [PMID: 38467661 PMCID: PMC10928082 DOI: 10.1038/s41598-024-55438-2] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 02/23/2024] [Indexed: 03/13/2024] Open
Abstract
Metabolic dysfunction-associated steatohepatitis (MASH) is a severe liver disease characterized by lipid accumulation, inflammation and fibrosis. The development of MASH therapies has been hindered by the lack of human translational models and limitations of analysis techniques for fibrosis. The MASH three-dimensional (3D) InSight™ human liver microtissue (hLiMT) model recapitulates pathophysiological features of the disease. We established an algorithm for automated phenotypic quantification of fibrosis of Sirius Red stained histology sections of MASH hLiMTs model using a digital pathology quantitative single-fiber artificial intelligence (AI) FibroNest™ image analysis platform. The FibroNest™ algorithm for MASH hLiMTs was validated using anti-fibrotic reference compounds with different therapeutic modalities-ALK5i and anti-TGF-β antibody. The phenotypic quantification of fibrosis demonstrated that both reference compounds decreased the deposition of fibrillated collagens in alignment with effects on the secretion of pro-collagen type I/III, tissue inhibitor of metalloproteinase-1 and matrix metalloproteinase-3 and pro-fibrotic gene expression. In contrast, clinical compounds, Firsocostat and Selonsertib, alone and in combination showed strong anti-fibrotic effects on the deposition of collagen fibers, however less pronounced on the secretion of pro-fibrotic biomarkers. In summary, the phenotypic quantification of fibrosis of MASH hLiMTs combined with secretion of pro-fibrotic biomarkers and transcriptomics represents a promising drug discovery tool for assessing anti-fibrotic compounds.
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Affiliation(s)
| | - Simon Ströbel
- InSphero AG, Wagistrasse 27A, Schlieren, Switzerland
| | - Li Chen
- PharmaNest, Princeton, NJ, USA
| | | | - Jana Gadient
- InSphero AG, Wagistrasse 27A, Schlieren, Switzerland
| | | | | | - Manuela Bieri
- InSphero AG, Wagistrasse 27A, Schlieren, Switzerland
| | - Eva Thoma
- InSphero AG, Wagistrasse 27A, Schlieren, Switzerland
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Hutchenreuther J, Nguyen J, Quesnel K, Vincent KM, Petitjean L, Bourgeois S, Boyd M, Bou-Gharios G, Postovit LM, Leask A. Cancer-associated Fibroblast-specific Expression of the Matricellular Protein CCN1 Coordinates Neovascularization and Stroma Deposition in Melanoma Metastasis. Cancer Res Commun 2024; 4:556-570. [PMID: 38363129 PMCID: PMC10898341 DOI: 10.1158/2767-9764.crc-23-0571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/19/2024] [Accepted: 02/09/2024] [Indexed: 02/17/2024]
Abstract
Melanoma is the leading cause of skin cancer-related death. As prognosis of patients with melanoma remains problematic, identification of new therapeutic targets remains essential. Matricellular proteins are nonstructural extracellular matrix proteins. They are secreted into the tumor microenvironment to coordinate behavior among different cell types, yet their contribution to melanoma is underinvestigated. Examples of matricellular proteins include those comprising the CCN family. The CCN family member, CCN1, is highly proangiogenic. Herein, we show that, in human patients with melanoma, although found in several tumor cell types, CCN1 is highly expressed by a subset of cancer-associated fibroblasts (CAF) in patients with melanoma and this expression correlates positively with expression of proangiogenic genes and progressive disease/resistance to anti-PD1 checkpoint inhibitors. Consistent with these observations, in a syngeneic C57BL6 mouse model of melanoma, loss of CCN1 expression from Col1A2-Cre-, herein identified as "universal," fibroblasts, impaired metastasis of subcutaneously injected B16F10 tumor cells to lung, concomitant with disrupted neovascularization and collagen organization. Disruption of the extracellular matrix in the loss of CCN1 was validated using a novel artificial intelligence-based image analysis platform that revealed significantly decreased phenotypic fibrosis and composite morphometric collagen scores. As drug resistance is linked to matrix deposition and neoangiogenesis, these data suggest that CCN1, due to its multifaceted role, may represent a novel therapeutic target for drug-resistant melanoma. Our data further emphasize the essential role that cancer-associated, (universal) Col1A2-Cre-fibroblasts and extracellular matrix remodeling play in coordinating behavior among different cell types within the tumor microenvironment. SIGNIFICANCE In human patients, the expression of proangiogenic matricellular protein CCN1 in CAFs correlates positively with expression of stroma and angiogenic markers and progressive disease/resistance to checkpoint inhibitor therapy. In an animal model, loss of CCN1 from CAFs impaired metastasis of melanoma cells, neovascularization, and collagen deposition, emphasizing that CAFs coordinate cellular behavior in a tumor microenvironment and that CCN1 may be a novel target.
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Affiliation(s)
- James Hutchenreuther
- Department of Physiology and Pharmacology, University of Western Ontario, London, Ontario, Canada
| | - John Nguyen
- College of Dentistry, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Katherine Quesnel
- Department of Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Krista M. Vincent
- Department of Oncology, University of Alberta, Edmonton, Alberta, Canada
- Department of Medical Genetics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | | | - Sophia Bourgeois
- Department of Biology, University of Western Ontario, London, Ontario, Canada
| | - Mark Boyd
- Office of the Vice President of Research, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - George Bou-Gharios
- Department of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Lynne-Marie Postovit
- Department of Biomedical and Molecular Sciences, Queens University, Kingston, Ontario, Canada
| | - Andrew Leask
- College of Dentistry, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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Watson A, Petitjean L, Petitjean M, Pavlides M. Liver fibrosis phenotyping and severity scoring by quantitative image analysis of biopsy slides. Liver Int 2024; 44:399-410. [PMID: 38010988 DOI: 10.1111/liv.15768] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/21/2023] [Accepted: 10/08/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND & AIMS Digital pathology image analysis can phenotype liver fibrosis using histological traits that reflect collagen content, morphometry and architecture. Here, we aimed to calculate fibrosis severity scores to quantify these traits. METHODS Liver biopsy slides were categorised by Ishak stage and aetiology. We used a digital pathology technique to calculate four fibrosis severity scores: Architecture Composite Score (ACS), Collagen Composite Score (CCS), Morphometric Composite Score (MCS) and Phenotypic Fibrosis Composite Score (PH-FCS). We compared how these scores varied according to disease stage and aetiology. RESULTS We included 80 patients (40% female, mean age 59.0 years, mean collagen proportionate area 17.1%) with mild (F0-2, n = 28), moderate (F3-4, n = 17) or severe (F5-6, n = 35) fibrosis. All four aetiology independent scores corelated with collagen proportionate area (ACS: rp = .512, CCS: rp = .727, MCS: rp = .777, PFCS: r = .772, p < .01 for all) with significant differences between moderate and severe fibrosis (p < .05). ACS increased primarily between moderate and severe fibrosis (by 95% to 226% depending on underlying aetiology), whereas MCS and CCS accumulation was more varied. We used 28 qFTs that distinguished between autoimmune- and alcohol-related liver disease to generate an MCS that significantly differed between mild and severe fibrosis for these aetiologies (p < .05). CONCLUSIONS We describe four aetiology-dependent and -independent severity scores that quantify fibrosis architecture, collagen content and fibre morphometry. This approach provides additional insight into how progression of architectural changes and accumulation of collagen may differ depending on underlying disease aetiology.
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Affiliation(s)
- Adam Watson
- Medical Sciences Division, University of Oxford, Oxford, UK
| | | | | | - Michael Pavlides
- Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
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4
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Inia JA, Stokman G, Morrison MC, Worms N, Verschuren L, Caspers MPM, Menke AL, Petitjean L, Chen L, Petitjean M, Jukema JW, Princen HMG, van den Hoek AM. Semaglutide Has Beneficial Effects on Non-Alcoholic Steatohepatitis in Ldlr-/-.Leiden Mice. Int J Mol Sci 2023; 24:ijms24108494. [PMID: 37239841 DOI: 10.3390/ijms24108494] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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: 04/24/2023] [Revised: 05/04/2023] [Accepted: 05/07/2023] [Indexed: 05/28/2023] Open
Abstract
Semaglutide, a glucagon-like peptide-1 receptor agonist, is an antidiabetic medication that has recently been approved for the treatment of obesity as well. Semaglutide is postulated to be a promising candidate for the treatment of non-alcoholic steatohepatitis (NASH). Here, Ldlr-/-.Leiden mice received a fast-food diet (FFD) for 25 weeks, followed by another 12 weeks on FFD with daily subcutaneous injections of semaglutide or vehicle (control). Plasma parameters were evaluated, livers and hearts were examined, and hepatic transcriptome analysis was performed. In the liver, semaglutide significantly reduced macrovesicular steatosis (-74%, p < 0.001) and inflammation (-73%, p < 0.001) and completely abolished microvesicular steatosis (-100%, p < 0.001). Histological and biochemical assessment of hepatic fibrosis showed no significant effects of semaglutide. However, digital pathology revealed significant improvements in the degree of collagen fiber reticulation (-12%, p < 0.001). Semaglutide did not affect atherosclerosis relative to controls. Additionally, we compared the transcriptome profile of FFD-fed Ldlr-/-.Leiden mice with a human gene set that differentiates human NASH patients with severe fibrosis from those with mild fibrosis. In FFD-fed Ldlr-/-.Leiden control mice, this gene set was upregulated as well, while semaglutide predominantly reversed this gene expression. Using a translational model with advanced NASH, we demonstrated that semaglutide is a promising candidate with particular potential for the treatment of hepatic steatosis and inflammation, while for the reversal of advanced fibrosis, combinations with other NASH agents may be necessary.
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Affiliation(s)
- José A Inia
- Metabolic Health Research, The Netherlands Organization for Applied Scientific Research (TNO), 2333 BE Leiden, The Netherlands
- Cardiology, Leiden University Medical Center (LUMC), 2333 ZA Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center (LUMC), 2300 RC Leiden, The Netherlands
| | - Geurt Stokman
- Metabolic Health Research, The Netherlands Organization for Applied Scientific Research (TNO), 2333 BE Leiden, The Netherlands
| | - Martine C Morrison
- Metabolic Health Research, The Netherlands Organization for Applied Scientific Research (TNO), 2333 BE Leiden, The Netherlands
| | - Nicole Worms
- Metabolic Health Research, The Netherlands Organization for Applied Scientific Research (TNO), 2333 BE Leiden, The Netherlands
| | - Lars Verschuren
- Microbiology and Systems Biology, The Netherlands Organization for Applied Scientific Research (TNO), 2333 BE Leiden, The Netherlands
| | - Martien P M Caspers
- Microbiology and Systems Biology, The Netherlands Organization for Applied Scientific Research (TNO), 2333 BE Leiden, The Netherlands
| | - Aswin L Menke
- Metabolic Health Research, The Netherlands Organization for Applied Scientific Research (TNO), 2333 BE Leiden, The Netherlands
| | | | - Li Chen
- PharmaNest Inc., Princeton, NJ 08540, USA
| | | | - J Wouter Jukema
- Cardiology, Leiden University Medical Center (LUMC), 2333 ZA Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center (LUMC), 2300 RC Leiden, The Netherlands
- Netherlands Heart Institute, 3511 EP Utrecht, The Netherlands
| | - Hans M G Princen
- Metabolic Health Research, The Netherlands Organization for Applied Scientific Research (TNO), 2333 BE Leiden, The Netherlands
| | - Anita M van den Hoek
- Metabolic Health Research, The Netherlands Organization for Applied Scientific Research (TNO), 2333 BE Leiden, The Netherlands
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5
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Su CY, Zhou S, Gonzalez-Kozlova E, Butler-Laporte G, Brunet-Ratnasingham E, Nakanishi T, Jeon W, Morrison DR, Laurent L, Afilalo J, Afilalo M, Henry D, Chen Y, Carrasco-Zanini J, Farjoun Y, Pietzner M, Kimchi N, Afrasiabi Z, Rezk N, Bouab M, Petitjean L, Guzman C, Xue X, Tselios C, Vulesevic B, Adeleye O, Abdullah T, Almamlouk N, Moussa Y, DeLuca C, Duggan N, Schurr E, Brassard N, Durand M, Del Valle DM, Thompson R, Cedillo MA, Schadt E, Nie K, Simons NW, Mouskas K, Zaki N, Patel M, Xie H, Harris J, Marvin R, Cheng E, Tuballes K, Argueta K, Scott I, Greenwood CMT, Paterson C, Hinterberg MA, Langenberg C, Forgetta V, Pineau J, Mooser V, Marron T, Beckmann ND, Kim-Schulze S, Charney AW, Gnjatic S, Kaufmann DE, Merad M, Richards JB. Circulating proteins to predict COVID-19 severity. Sci Rep 2023; 13:6236. [PMID: 37069249 PMCID: PMC10107586 DOI: 10.1038/s41598-023-31850-y] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 03/17/2023] [Indexed: 04/19/2023] Open
Abstract
Predicting COVID-19 severity is difficult, and the biological pathways involved are not fully understood. To approach this problem, we measured 4701 circulating human protein abundances in two independent cohorts totaling 986 individuals. We then trained prediction models including protein abundances and clinical risk factors to predict COVID-19 severity in 417 subjects and tested these models in a separate cohort of 569 individuals. For severe COVID-19, a baseline model including age and sex provided an area under the receiver operator curve (AUC) of 65% in the test cohort. Selecting 92 proteins from the 4701 unique protein abundances improved the AUC to 88% in the training cohort, which remained relatively stable in the testing cohort at 86%, suggesting good generalizability. Proteins selected from different COVID-19 severity were enriched for cytokine and cytokine receptors, but more than half of the enriched pathways were not immune-related. Taken together, these findings suggest that circulating proteins measured at early stages of disease progression are reasonably accurate predictors of COVID-19 severity. Further research is needed to understand how to incorporate protein measurement into clinical care.
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Affiliation(s)
- Chen-Yang Su
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
- Department of Computer Science, McGill University, Montréal, QC, Canada
- Quantitative Life Sciences Program, McGill University, Montreal, Quebec, Canada
| | - Sirui Zhou
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | | | - Guillaume Butler-Laporte
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | | | - Tomoko Nakanishi
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Graduate School of Medicine, McGill International Collaborative School in Genomic Medicine, Kyoto University, Kyoto, Japan
- Japan Society for the Promotion of Science, Tokyo, Japan
| | - Wonseok Jeon
- Department of Computer Science, McGill University, Montréal, QC, Canada
| | - David R Morrison
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Laetitia Laurent
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Jonathan Afilalo
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Marc Afilalo
- Department of Emergency Medicine, Jewish General Hospital, McGill University, Montreal, QC, Canada
| | - Danielle Henry
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Yiheng Chen
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Julia Carrasco-Zanini
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Yossi Farjoun
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Maik Pietzner
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Computational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Nofar Kimchi
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Zaman Afrasiabi
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Nardin Rezk
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Meriem Bouab
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Louis Petitjean
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Charlotte Guzman
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Xiaoqing Xue
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Chris Tselios
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Branka Vulesevic
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Olumide Adeleye
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Tala Abdullah
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Noor Almamlouk
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Yara Moussa
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Chantal DeLuca
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Naomi Duggan
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Erwin Schurr
- Infectious Diseases and Immunity in Global Health Program, Research Institute of the McGill University Health Centre, Montréal, QC, Canada
| | - Nathalie Brassard
- Research Centre of the Centre Hospitalier de L'Université de Montréal, Montreal, QC, Canada
| | - Madeleine Durand
- Research Centre of the Centre Hospitalier de L'Université de Montréal, Montreal, QC, Canada
| | - Diane Marie Del Valle
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ryan Thompson
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mario A Cedillo
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eric Schadt
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kai Nie
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nicole W Simons
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Konstantinos Mouskas
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nicolas Zaki
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Manishkumar Patel
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hui Xie
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jocelyn Harris
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert Marvin
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Esther Cheng
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kevin Tuballes
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kimberly Argueta
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ieisha Scott
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Celia M T Greenwood
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | | | | | - Claudia Langenberg
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Computational Medicine, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Vincenzo Forgetta
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada
| | - Joelle Pineau
- Department of Computer Science, McGill University, Montréal, QC, Canada
| | - Vincent Mooser
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Thomas Marron
- Immunotherapy and Phase 1 Trials, Mount Sinai Hospital, New York, NY, USA
| | - Noam D Beckmann
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Seunghee Kim-Schulze
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alexander W Charney
- Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sacha Gnjatic
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Daniel E Kaufmann
- Research Centre of the Centre Hospitalier de L'Université de Montréal, Montreal, QC, Canada
- Department of Medicine, Université de Montréal, Montreal, QC, Canada
- Division of Infectious Diseases, Department of Medicine, University Hospital of Lausanne and University of Lausanne, Lausanne, Switzerland
| | - Miriam Merad
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - J Brent Richards
- Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada.
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
- Department of Human Genetics, McGill University, Montreal, QC, Canada.
- Department of Twin Research, King's College London, London, UK.
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6
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Butler-Laporte G, Gonzalez-Kozlova E, Su CY, Zhou S, Nakanishi T, Brunet-Ratnasingham E, Morrison D, Laurent L, Afilalo J, Afilalo M, Henry D, Chen Y, Carrasco-Zanini J, Farjoun Y, Pietzner M, Kimchi N, Afrasiabi Z, Rezk N, Bouab M, Petitjean L, Guzman C, Xue X, Tselios C, Vulesevic B, Adeleye O, Abdullah T, Almamlouk N, Moussa Y, DeLuca C, Duggan N, Schurr E, Brassard N, Durand M, Del Valle DM, Thompson R, Cedillo MA, Schadt E, Nie K, Simons NW, Mouskas K, Zaki N, Patel M, Xie H, Harris J, Marvin R, Cheng E, Tuballes K, Argueta K, Scott I, Greenwood CMT, Paterson C, Hinterberg M, Langenberg C, Forgetta V, Mooser V, Marron T, Beckmann N, Kenigsberg E, Charney AW, Kim-schulze S, Merad M, Kaufmann DE, Gnjatic S, Richards JB. The dynamic changes and sex differences of 147 immune-related proteins during acute COVID-19 in 580 individuals. Clin Proteomics 2022; 19:34. [PMID: 36171541 PMCID: PMC9516500 DOI: 10.1186/s12014-022-09371-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 08/21/2022] [Indexed: 02/02/2023] Open
Abstract
INTRODUCTION Severe COVID-19 leads to important changes in circulating immune-related proteins. To date it has been difficult to understand their temporal relationship and identify cytokines that are drivers of severe COVID-19 outcomes and underlie differences in outcomes between sexes. Here, we measured 147 immune-related proteins during acute COVID-19 to investigate these questions. METHODS We measured circulating protein abundances using the SOMAscan nucleic acid aptamer panel in two large independent hospital-based COVID-19 cohorts in Canada and the United States. We fit generalized additive models with cubic splines from the start of symptom onset to identify protein levels over the first 14 days of infection which were different between severe cases and controls, adjusting for age and sex. Severe cases were defined as individuals with COVID-19 requiring invasive or non-invasive mechanical respiratory support. RESULTS 580 individuals were included in the analysis. Mean subject age was 64.3 (sd 18.1), and 47% were male. Of the 147 proteins, 69 showed a significant difference between cases and controls (p < 3.4 × 10-4). Three clusters were formed by 108 highly correlated proteins that replicated in both cohorts, making it difficult to determine which proteins have a true causal effect on severe COVID-19. Six proteins showed sex differences in levels over time, of which 3 were also associated with severe COVID-19: CCL26, IL1RL2, and IL3RA, providing insights to better understand the marked differences in outcomes by sex. CONCLUSIONS Severe COVID-19 is associated with large changes in 69 immune-related proteins. Further, five proteins were associated with sex differences in outcomes. These results provide direct insights into immune-related proteins that are strongly influenced by severe COVID-19 infection.
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Affiliation(s)
- Guillaume Butler-Laporte
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada ,grid.14709.3b0000 0004 1936 8649Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec Canada
| | - Edgar Gonzalez-Kozlova
- grid.59734.3c0000 0001 0670 2351Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Chen-Yang Su
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada ,grid.14709.3b0000 0004 1936 8649Department of Computer Science, McGill University, Montréal, Québec Canada
| | - Sirui Zhou
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada ,grid.14709.3b0000 0004 1936 8649Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec Canada
| | - Tomoko Nakanishi
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada ,grid.14709.3b0000 0004 1936 8649Department of Human Genetics, McGill University, Montréal, Québec Canada ,grid.258799.80000 0004 0372 2033Graduate School of Medicine, McGill International Collaborative School in Genomic Medicine, Kyoto University, KyotoKyoto, Japan ,grid.54432.340000 0001 0860 6072Japan Society for the Promotion of Science, Tokyo, Japan
| | - Elsa Brunet-Ratnasingham
- grid.410559.c0000 0001 0743 2111Research Centre of the Centre Hospitalier de L’Université de Montréal, Montréal, Québec Canada
| | - David Morrison
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Laetitia Laurent
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Jonathan Afilalo
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada ,grid.14709.3b0000 0004 1936 8649Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec Canada
| | - Marc Afilalo
- grid.414980.00000 0000 9401 2774Department of Emergency Medicine, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Danielle Henry
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Yiheng Chen
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada ,grid.14709.3b0000 0004 1936 8649Department of Human Genetics, McGill University, Montréal, Québec Canada
| | - Julia Carrasco-Zanini
- grid.5335.00000000121885934MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Yossi Farjoun
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Maik Pietzner
- grid.5335.00000000121885934MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK ,grid.484013.a0000 0004 6879 971XComputational Medicine, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, Berlin, Germany
| | - Nofar Kimchi
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Zaman Afrasiabi
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Nardin Rezk
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Meriem Bouab
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Louis Petitjean
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Charlotte Guzman
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Xiaoqing Xue
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Chris Tselios
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Branka Vulesevic
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Olumide Adeleye
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Tala Abdullah
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Noor Almamlouk
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Yara Moussa
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Chantal DeLuca
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Naomi Duggan
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Erwin Schurr
- grid.63984.300000 0000 9064 4811Infectious Diseases and Immunity in Global Health Program, Research Institute of the McGill University Health Centre, Montréal, Québec Canada
| | - Nathalie Brassard
- grid.410559.c0000 0001 0743 2111Research Centre of the Centre Hospitalier de L’Université de Montréal, Montréal, Québec Canada
| | - Madeleine Durand
- grid.410559.c0000 0001 0743 2111Research Centre of the Centre Hospitalier de L’Université de Montréal, Montréal, Québec Canada
| | - Diane Marie Del Valle
- grid.59734.3c0000 0001 0670 2351Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Ryan Thompson
- grid.59734.3c0000 0001 0670 2351Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Mario A. Cedillo
- grid.59734.3c0000 0001 0670 2351Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Eric Schadt
- grid.59734.3c0000 0001 0670 2351Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Kai Nie
- grid.59734.3c0000 0001 0670 2351Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Nicole W. Simons
- grid.59734.3c0000 0001 0670 2351Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Konstantinos Mouskas
- grid.59734.3c0000 0001 0670 2351Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Nicolas Zaki
- grid.59734.3c0000 0001 0670 2351Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Manishkumar Patel
- grid.59734.3c0000 0001 0670 2351Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Hui Xie
- grid.59734.3c0000 0001 0670 2351Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Jocelyn Harris
- grid.59734.3c0000 0001 0670 2351Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Robert Marvin
- grid.59734.3c0000 0001 0670 2351Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Esther Cheng
- grid.59734.3c0000 0001 0670 2351Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Kevin Tuballes
- grid.59734.3c0000 0001 0670 2351Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Kimberly Argueta
- grid.59734.3c0000 0001 0670 2351Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Ieisha Scott
- grid.59734.3c0000 0001 0670 2351Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | | | - Celia M. T. Greenwood
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada ,grid.14709.3b0000 0004 1936 8649Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec Canada
| | - Clare Paterson
- grid.437866.80000 0004 0625 700XSomaLogic Inc, Boulder, CO USA
| | | | - Claudia Langenberg
- grid.5335.00000000121885934MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK ,grid.437866.80000 0004 0625 700XSomaLogic Inc, Boulder, CO USA
| | - Vincenzo Forgetta
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada
| | - Vincent Mooser
- grid.14709.3b0000 0004 1936 8649Department of Human Genetics, McGill University, Montréal, Québec Canada
| | - Thomas Marron
- grid.59734.3c0000 0001 0670 2351Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.416167.30000 0004 0442 1996Early Phase Trials Unit, Mount Sinai Hospital, New York, NY USA
| | - Noam Beckmann
- grid.59734.3c0000 0001 0670 2351Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Ephraim Kenigsberg
- grid.59734.3c0000 0001 0670 2351Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Alexander W. Charney
- grid.59734.3c0000 0001 0670 2351Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Seunghee Kim-schulze
- grid.59734.3c0000 0001 0670 2351Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Miriam Merad
- grid.59734.3c0000 0001 0670 2351Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Daniel E. Kaufmann
- grid.410559.c0000 0001 0743 2111Research Centre of the Centre Hospitalier de L’Université de Montréal, Montréal, Québec Canada ,grid.14848.310000 0001 2292 3357Department of Medicine, Université de Montréal, Montréal, Québec Canada
| | - Sacha Gnjatic
- grid.59734.3c0000 0001 0670 2351Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - J Brent Richards
- grid.14709.3b0000 0004 1936 8649Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec Canada ,grid.14709.3b0000 0004 1936 8649Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec Canada ,grid.14709.3b0000 0004 1936 8649Department of Human Genetics, McGill University, Montréal, Québec Canada ,grid.13097.3c0000 0001 2322 6764Department of Twin Research, King’s College London, London, UK ,5 Prime Sciences, Montreal, Québec Canada ,grid.14709.3b0000 0004 1936 8649McGill University, King’s College London (Honorary), Jewish General Hospital, Pavilion H-4133755 Côte-Ste-Catherine, Montréal, Québec H3T 1E2 Canada
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LG, Ascolillo S, Sebra RP, Collins BL, Levy T, Buxbaum JD, Sealfon SC, Jordan DM, Thompson RC, Gettler K, Chaudhary K, Belbin GM, Preuss M, Hoggart C, Choi S, Underwood SJ, Salib I, Britvan B, Keller K, Tang L, Peruggia M, Hiester LL, Niblo K, Aksentijevich A, Labkowsky A, Karp A, Zlatopolsky M, Zyndorf M, Charney AW, Beckmann ND, Schadt EE, Abul-Husn NS, Cho JH, Itan Y, Kenny EE, Loos RJF, Nadkarni GN, Do R, O’Reilly P, Huckins LM, Ferreira MAR, Abecasis GR, Leader JB, Cantor MN, Justice AE, Carey DJ, Chittoor G, Josyula NS, Kosmicki JA, Horowitz JE, Baras A, Gass MC, Yadav A, Mirshahi T, Hottenga JJ, Bartels M, de geus EEJC, Nivard MMG, Verma A, Ritchie MD, Rader D, Li B, Verma SS, Lucas A, Bradford Y, Abedalthagafi M, Alaamery M, Alshareef A, Sawaji M, Massadeh S, AlMalik A, Alqahtani S, Baraka D, Harthi FA, Alsolm E, Safieh LA, Alowayn AM, Alqubaishi F, Mutairi AA, Mangul S, Almutairi M, Aljawini N, Albesher N, Arabi YM, Mahmoud ES, Khattab AK, Halawani RT, Alahmadey ZZ, Albakri JK, Felemban WA, Suliman BA, Hasanato R, Al-Awdah L, Alghamdi J, AlZahrani D, AlJohani S, Al-Afghani H, AlDhawi N, AlBardis H, Alkwai S, Alswailm M, Almalki F, Albeladi M, Almohammed I, Barhoush E, Albader A, Alotaibi S, Alghamdi B, Jung J, fawzy MS, Alrashed M, Zeberg H, Nkambul L, Frithiof R, Hultström M, Lipcsey M, Tardif N, Rooyackers O, Grip J, Maricic T, Helgeland Ø, Magnus P, Trogstad LIS, Lee Y, Harris JR, Mangino M, Spector TD, Emma D, Moutsianas L, Caulfield MJ, Scott RH, Kousathanas A, Pasko D, Walker S, Stuckey A, Odhams CA, Rhodes D, Fowler T, Rendon A, Chan G, Arumugam P, Karczewski KJ, Martin AR, Wilson DJ, Spencer CCA, Crook DW, Wyllie DH, O’Connell AM, Atkinson EG, Kanai M, Tsuo K, Baya N, Turley P, Gupta R, Walters RK, Palmer DS, Sarma G, Solomonson M, Cheng N, Lu W, Churchhouse C, Goldstein JI, King D, Zhou W, Seed C, Daly MJ, Neale BM, Finucane H, Bryant S, Satterstrom FK, Band G, Earle SG, Lin SK, Arning N, Koelling N, Armstrong J, Rudkin JK, Callier S, Bryant S, Cusick C, Soranzo N, Zhao JH, Danesh J, Angelantonio ED, Butterworth AS, Sun YV, Huffman JE, Cho K, O’Donnell CJ, Tsao P, Gaziano JM, Peloso G, Ho YL, Smieszek SP, Polymeropoulos C, Polymeropoulos V, Polymeropoulos MH, Przychodzen BP, Fernandez-Cadenas I, Planas AM, Perez-Tur J, Llucià-Carol L, Cullell N, Muiño E, Cárcel-Márquez J, DeDiego ML, Iglesias LL, Soriano A, Rico V, Agüero D, Bedini JL, Lozano F, Domingo C, Robles V, Ruiz-Jaén F, Márquez L, Gomez J, Coto E, Albaiceta GM, García-Clemente M, Dalmau D, Arranz MJ, Dietl B, Serra-Llovich A, Soler P, Colobrán R, Martín-Nalda A, Martínez AP, Bernardo D, Rojo S, Fiz-López A, Arribas E, de la Cal-Sabater P, Segura T, González-Villa E, Serrano-Heras G, Martí-Fàbregas J, Jiménez-Xarrié E, de Felipe Mimbrera A, Masjuan J, García-Madrona S, Domínguez-Mayoral A, Villalonga JM, Menéndez-Valladares P, Chasman DI, Sesso HD, Manson JE, Buring JE, Ridker PM, Franco G, Davis L, Lee S, Priest J, Sankaran VG, van Heel D, Biesecker L, Kerchberger VE, Baillie JK. A first update on mapping the human genetic architecture of COVID-19. Nature 2022; 608:E1-E10. [PMID: 35922517 PMCID: PMC9352569 DOI: 10.1038/s41586-022-04826-7] [Citation(s) in RCA: 52] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 04/29/2022] [Indexed: 01/04/2023]
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Reffay M, Petitjean L, Coscoy S, Grasland-Mongrain E, Amblard F, Buguin A, Silberzan P. Orientation and polarity in collectively migrating cell structures: statics and dynamics. Biophys J 2011; 100:2566-75. [PMID: 21641301 DOI: 10.1016/j.bpj.2011.04.047] [Citation(s) in RCA: 89] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2010] [Revised: 04/06/2011] [Accepted: 04/25/2011] [Indexed: 10/18/2022] Open
Abstract
Collective cell migration is often characterized by the spontaneous onset of multicellular protrusions (known as fingers) led by a single leader cell. Working with epithelial Madin-Darby canine kidney monolayers we show that cells within the fingers, as compared with the epithelium, are well oriented and polarized along the main finger direction, which suggests that these cells actively migrate. The cell orientation and polarity decrease continuously from the tip toward the epithelium over a penetration distance of typically two finger lengths. Furthermore, laser photoablation experiments at various locations along these fingers demonstrate that the cells in the fingers are submitted to a tensile stress whose value is larger close to the tip. From a dynamical point of view, cells entering a finger gradually polarize on timescales that depend upon their particular initial position. Selective laser nanosurgery of the leader lamellipodium shows not only that these structures need a leader to progress, but that this leader itself is the consequence of a prior self-organization of the cells forming the finger. These results highlight the complex interplay between the collective orientation within the fingers and the mechanical action of the leader.
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Affiliation(s)
- M Reffay
- Laboratoire Physico-chimie Curie, Paris, France
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Petitjean L, Pattou D, Ruiz-López MF. Theoretical study of selectivity mechanisms in propylene polymerization with metallocene catalysts. ACTA ACUST UNITED AC 2001. [DOI: 10.1016/s0166-1280(00)00803-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Affiliation(s)
- L. Petitjean
- Groupement de Recherches de Lacq, Elf-Atochem, BP 34, 64170 Artix, France, and Laboratoire de Chimie Théorique, UMR CNRS-UHP 7565, Université Henri Poincaré, Nancy I, BP 239, 54506 Vandoeuvre-les-Nancy Cedex, France
| | - D. Pattou
- Groupement de Recherches de Lacq, Elf-Atochem, BP 34, 64170 Artix, France, and Laboratoire de Chimie Théorique, UMR CNRS-UHP 7565, Université Henri Poincaré, Nancy I, BP 239, 54506 Vandoeuvre-les-Nancy Cedex, France
| | - M. F. Ruiz-López
- Groupement de Recherches de Lacq, Elf-Atochem, BP 34, 64170 Artix, France, and Laboratoire de Chimie Théorique, UMR CNRS-UHP 7565, Université Henri Poincaré, Nancy I, BP 239, 54506 Vandoeuvre-les-Nancy Cedex, France
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Plouraboué F, Winkler KW, Petitjean L, Hulin JP, Roux S. Experimental study of fracture surface roughness on rocks with crack velocity. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 1996; 53:277-283. [PMID: 9964257 DOI: 10.1103/physreve.53.277] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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Petitjean L, Gounand F, Fournier PR. Collisional depopulation of rubidium Rydberg states by ND3. Phys Rev A Gen Phys 1986; 33:1372-1373. [PMID: 9896756 DOI: 10.1103/physreva.33.1372] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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Cuvellier J, Petitjean L, Mestdagh JM, Paillard D, de Pujo P, Berlande J. Near‐resonant electronic‐to‐rotational energy transfer in Rb(7S→5D)–H2, D2collisions at thermal energy. J Chem Phys 1986. [DOI: 10.1063/1.450489] [Citation(s) in RCA: 22] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Gounand F, Petitjean L. Possible influence of core effects in Rydberg-atom-neutral collisions at thermal energies, within the framework of the impulse approximation. Phys Rev A Gen Phys 1985; 32:793-801. [PMID: 9896128 DOI: 10.1103/physreva.32.793] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/11/2023]
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