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Van Mol P, Franken A, Vanmassenhove S, Donders E, Schepers R, van Brussel T, Dooms C, Yserbyt J, De Crem N, Testelmans D, de Wever W, Nackaerts K, Vansteenkiste J, Vos R, Lambrechts D, Naidoo J, Suresh K, Humblet-Baron S, Wauters E. 186P Elevated CXCL10:IL-8 ratio in bronchoalveolar lavage fluid of immune checkpoint inhibitor-related pneumonitis. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00439-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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Beeckmans H, Kerckhof P, McDonough J, De Sadeleer L, Kaes J, Sacreas A, Aelbrecht C, Vanstapel A, Maes K, Schoemans H, Wauters E, Neyrinck A, Verleden G, Dupont L, Godinas L, Van Raemdonck D, Vanaudenaerde B, Vos R. Differences in the Transcriptional Landscape of Human End-Stage CLAD Phenotypes. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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Laenens D, Yu Y, Santens B, Jacobs J, Beuselinck B, Bechter O, Wauters E, Staessen J, Janssens S, Van Aelst L. Incidence of cardiovascular events in patients treated with immune checkpoint inhibitors. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
In rare cases, immune checkpoint inhibitors (ICIs) cause immune-mediated myocarditis. However, the true incidence of other major adverse cardiovascular events (MACE) following ICI treatment remains unknown, mainly because late occurring side effects are rarely reported in prospective clinical trials.
Purpose
To identify the incidence and risk factors of MACE in a real-life ICI-treated cancer cohort and to compare the incidence with non-ICI-treated cancer patients and population controls.
Methods
In total, 672 ICI-treated patients were included. The primary endpoint was MACE, a composite of acute coronary syndrome, heart failure, stroke and transient ischemic attack. Secondary outcomes were acute coronary syndrome and heart failure separately. Incidence rates were compared between groups after matching according to age, sex, cardiovascular history and cancer type.
Results
Incidence of MACE was 10.3% during a median time of follow-up of 13 months (IQR 6 to 22). In multivariable analysis, a history of heart failure (hazard ratio (HR): 2.27; 95% confidence interval (CI): 1.03 to 5.04; p=0.043) and valvular heart disease (HR 3.01; 95% CI: 1.05 to 8.66; p=0.041) remained significantly associated with MACE.
Cumulative incidence rates were significantly higher in the matched ICI group (rate at full range of follow-up (rate): 8.51; 95% CI: 6.18 to 11.4) compared with the cancer cohort not exposed to ICI (rate: 5.20; 95% CI: 3.56 to 7.35; p=0.032) and the population controls (rate: 2.55; 95% CI: 2.16 to 2.99; p<0.001) mainly driven by a higher risk of heart failure events (Figure 1).
Conclusions
Cardiovascular events during and after ICI treatment are more common than currently appreciated. Patients at risk are those with a history of cardiovascular disease. Compared with matched cancer and population controls, MACE incidence rates are significantly higher, suggesting a potential harmful effect of ICI treatment besides the underlying risk.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- D Laenens
- University Hospitals (UZ) Leuven, Cardiology , Leuven , Belgium
| | - Y Yu
- University of Leuven, Public Health and Primary Care , Leuven , Belgium
| | - B Santens
- University of Leuven, Cardiovascular Sciences , Leuven , Belgium
| | - J Jacobs
- University of Leuven, Cardiovascular Sciences , Leuven , Belgium
| | - B Beuselinck
- University Hospitals (UZ) Leuven, Medical Oncology , Leuven , Belgium
| | - O Bechter
- University Hospitals (UZ) Leuven, Medical Oncology , Leuven , Belgium
| | - E Wauters
- University Hospitals (UZ) Leuven, Pneumology , Leuven , Belgium
| | - J Staessen
- University of Leuven, Biomedical Sciences Group , Leuven , Belgium
| | - S Janssens
- University Hospitals (UZ) Leuven, Cardiology , Leuven , Belgium
| | - L Van Aelst
- University Hospitals (UZ) Leuven, Cardiology , Leuven , Belgium
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Cortiula F, Reymen B, Peters S, Van Mol P, Wauters E, Vansteenkiste J, De Ruysscher D, Hendriks LEL. Immunotherapy in unresectable stage III non-small-cell lung cancer: state of the art and novel therapeutic approaches. Ann Oncol 2022; 33:893-908. [PMID: 35777706 DOI: 10.1016/j.annonc.2022.06.013] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [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: 05/06/2022] [Revised: 06/21/2022] [Accepted: 06/21/2022] [Indexed: 12/11/2022] Open
Abstract
The standard of care for patients with stage III non-small-cell lung cancer (NSCLC) is concurrent chemoradiotherapy (CCRT) followed by 1 year of adjuvant durvalumab. Despite the survival benefit granted by immunotherapy in this setting, only 1/3 of patients are alive and disease free at 5 years. Novel treatment strategies are under development to improve patient outcomes in this setting: different anti-programmed cell death protein 1/programmed death-ligand 1 [anti-PD-(L)1] antibodies after CCRT, consolidation immunotherapy after sequential chemoradiotherapy, induction immunotherapy before CCRT and immunotherapy concurrent with CCRT and/or sequential chemoradiotherapy. Cross-trial comparison is particularly challenging in this setting due to the different timing of immunotherapy delivery and different patients' inclusion and exclusion criteria. In this review, we present the results of clinical trials investigating immune therapy in unresectable stage III NSCLC and discuss in-depth their biological rationale, their pitfalls and potential benefits. Particular emphasis is placed on the potential mechanisms of synergism between chemotherapy, radiation therapy and different monoclonal antibodies, and how this affects the tumor immune microenvironment. The designs and questions tackled by ongoing clinical trials are also discussed. Last, we address open questions and unmet clinical needs, such as the necessity for predictive biomarkers (e.g. radiomics and circulating tumor DNA). Identifying distinct subsets of patients to tailor anticancer treatment is a priority, especially in a heterogeneous disease such as stage III NSCLC.
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Affiliation(s)
- F Cortiula
- Department of Radiation Oncology (Maastro), Maastricht University Medical Centre(+), GROW School for Oncology and Reproduction, Maastricht, the Netherlands; Department of Medical Oncology, Udine University Hospital, Udine, Italy
| | - B Reymen
- Department of Radiation Oncology (Maastro), Maastricht University Medical Centre(+), GROW School for Oncology and Reproduction, Maastricht, the Netherlands
| | - S Peters
- Oncology Department, Lausanne University Hospital, Lausanne, Switzerland
| | - P Van Mol
- Department of Respiratory Diseases KU Leuven, Respiratory Oncology Unit, University Hospitals KU Leuven, Leuven, Belgium
| | - E Wauters
- Department of Respiratory Diseases KU Leuven, Respiratory Oncology Unit, University Hospitals KU Leuven, Leuven, Belgium
| | - J Vansteenkiste
- Department of Respiratory Diseases KU Leuven, Respiratory Oncology Unit, University Hospitals KU Leuven, Leuven, Belgium.
| | - D De Ruysscher
- Department of Radiation Oncology (Maastro), Maastricht University Medical Centre(+), GROW School for Oncology and Reproduction, Maastricht, the Netherlands
| | - L E L Hendriks
- Department of Pulmonary Diseases, Maastricht University Medical Centre(+), GROW School for Oncology and Reproduction, Maastricht, the Netherlands
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Verfaillie S, Van de Velde AS, Berkovic P, Dooms C, Nackaerts K, Vansteenkiste J, Lambrecht M, Wauters E. 121P Treatment of unresectable stage III NSCLC: Real-world study and literature review. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.02.148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Wauters E, Vansteenkiste J. Acquired resistance in NSCLC: the journey from clinical definition to molecular understanding. Ann Oncol 2021; 32:1463-1465. [PMID: 34610278 DOI: 10.1016/j.annonc.2021.09.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 09/28/2021] [Indexed: 11/30/2022] Open
Affiliation(s)
- E Wauters
- Respiratory Oncology Unit (Pulmonology), University Hospitals KU Leuven, Leuven, Belgium; Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.
| | - J Vansteenkiste
- Respiratory Oncology Unit (Pulmonology), University Hospitals KU Leuven, Leuven, Belgium; Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
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7
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Vanderbeke L, Van Mol P, Van Herck Y, De Smet F, Humblet-Baron S, Martinod K, Antoranz A, Arijs I, Boeckx B, Bosisio FM, Casaer M, Dauwe D, De Wever W, Dooms C, Dreesen E, Emmaneel A, Filtjens J, Gouwy M, Gunst J, Hermans G, Jansen S, Lagrou K, Liston A, Lorent N, Meersseman P, Mercier T, Neyts J, Odent J, Panovska D, Penttila PA, Pollet E, Proost P, Qian J, Quintelier K, Raes J, Rex S, Saeys Y, Sprooten J, Tejpar S, Testelmans D, Thevissen K, Van Buyten T, Vandenhaute J, Van Gassen S, Velásquez Pereira LC, Vos R, Weynand B, Wilmer A, Yserbyt J, Garg AD, Matthys P, Wouters C, Lambrechts D, Wauters E, Wauters J. Monocyte-driven atypical cytokine storm and aberrant neutrophil activation as key mediators of COVID-19 disease severity. Nat Commun 2021; 12:4117. [PMID: 34226537 PMCID: PMC8257697 DOI: 10.1038/s41467-021-24360-w] [Citation(s) in RCA: 128] [Impact Index Per Article: 42.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Accepted: 06/14/2021] [Indexed: 02/06/2023] Open
Abstract
Epidemiological and clinical reports indicate that SARS-CoV-2 virulence hinges upon the triggering of an aberrant host immune response, more so than on direct virus-induced cellular damage. To elucidate the immunopathology underlying COVID-19 severity, we perform cytokine and multiplex immune profiling in COVID-19 patients. We show that hypercytokinemia in COVID-19 differs from the interferon-gamma-driven cytokine storm in macrophage activation syndrome, and is more pronounced in critical versus mild-moderate COVID-19. Systems modelling of cytokine levels paired with deep-immune profiling shows that classical monocytes drive this hyper-inflammatory phenotype and that a reduction in T-lymphocytes correlates with disease severity, with CD8+ cells being disproportionately affected. Antigen presenting machinery expression is also reduced in critical disease. Furthermore, we report that neutrophils contribute to disease severity and local tissue damage by amplification of hypercytokinemia and the formation of neutrophil extracellular traps. Together our findings suggest a myeloid-driven immunopathology, in which hyperactivated neutrophils and an ineffective adaptive immune system act as mediators of COVID-19 disease severity.
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Affiliation(s)
- L Vanderbeke
- Laboratory of Clinical Bacteriology and Mycology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - P Van Mol
- Laboratory of Translational Genetics, Department of Human Genetics, VIB-KU Leuven, Leuven, Belgium
| | - Y Van Herck
- Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - F De Smet
- Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
| | - S Humblet-Baron
- Adaptive Immunology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - K Martinod
- Centre for Molecular and Vascular Biology, Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - A Antoranz
- Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
| | - I Arijs
- Laboratory of Translational Genetics, Department of Human Genetics, VIB-KU Leuven, Leuven, Belgium
| | - B Boeckx
- Laboratory of Translational Genetics, Department of Human Genetics, VIB-KU Leuven, Leuven, Belgium
| | - F M Bosisio
- Translational Cell & Tissue Research, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
| | - M Casaer
- Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - D Dauwe
- Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - W De Wever
- Radiology, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
| | - C Dooms
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - E Dreesen
- Clinical Pharmacology and Pharmacotherapy, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - A Emmaneel
- Department of Applied Mathematics, Computer Science and Statistics, VIB-UGent Center for Inflammation Research, VIB-UGent, Gent, Belgium
| | - J Filtjens
- Laboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - M Gouwy
- Laboratory of Molecular Immunology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - J Gunst
- Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - G Hermans
- Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - S Jansen
- Laboratory of Virology and Chemotherapy, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, B Leuven, Belgium
| | - K Lagrou
- Laboratory of Clinical Bacteriology and Mycology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - A Liston
- Laboratory of Lymphocyte Signalling and Development, The Babraham Institute, Babraham Research Campus, Cambridge, UK
| | - N Lorent
- Department of Pneumology, University Hospitals Leuven, Leuven, Belgium
| | - P Meersseman
- Laboratory for Clinical Infectious and Inflammatory Disorders, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - T Mercier
- Laboratory of Clinical Bacteriology and Mycology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - J Neyts
- Laboratory of Virology and Chemotherapy, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, B Leuven, Belgium
| | - J Odent
- Department of Internal Medicine, University Hospitals Leuven, Leuven, Belgium
| | - D Panovska
- Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
| | - P A Penttila
- KU Leuven Flow & Mass Cytometry Facility, KU Leuven, Leuven, Belgium
| | - E Pollet
- Department of Internal Medicine, University Hospitals Leuven, Leuven, Belgium
| | - P Proost
- Laboratory of Molecular Immunology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - J Qian
- Laboratory of Translational Genetics, Department of Human Genetics, VIB-KU Leuven, Leuven, Belgium
| | - K Quintelier
- Department of Applied Mathematics, Computer Science and Statistics, VIB-UGent Center for Inflammation Research, VIB-UGent, Gent, Belgium
| | - J Raes
- Laboratory of Molecular Bacteriology (Rega Institute), Department of Microbiology, Immunology and Transplantation, KU Leuven, and VIB Center for Microbiology, Leuven, Belgium
| | - S Rex
- Anesthesiology and Algology, Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Y Saeys
- Department of Applied Mathematics, Computer Science and Statistics, VIB-UGent Center for Inflammation Research, VIB-UGent, Gent, Belgium
| | - J Sprooten
- Laboratory for Cell Stress & Immunity (CSI), Department of Cellular and Molecular Medicine (CMM), KU Leuven, Leuven, Belgium
| | - S Tejpar
- Molecular Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - D Testelmans
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - K Thevissen
- Centre of Microbial and Plant Genetics, Department of Microbial and Molecular Systems (M2S), KU Leuven, Leuven, Belgium
| | - T Van Buyten
- Laboratory of Virology and Chemotherapy, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, B Leuven, Belgium
| | - J Vandenhaute
- Laboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - S Van Gassen
- Department of Applied Mathematics, Computer Science and Statistics, VIB-UGent Center for Inflammation Research, VIB-UGent, Gent, Belgium
| | - L C Velásquez Pereira
- Centre for Molecular and Vascular Biology, Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - R Vos
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - B Weynand
- Translational Cell & Tissue Research, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
| | - A Wilmer
- Laboratory for Clinical Infectious and Inflammatory Disorders, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - J Yserbyt
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - A D Garg
- Laboratory for Cell Stress & Immunity (CSI), Department of Cellular and Molecular Medicine (CMM), KU Leuven, Leuven, Belgium
| | - P Matthys
- Laboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - C Wouters
- Adaptive Immunology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
- Laboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - D Lambrechts
- Laboratory of Translational Genetics, Department of Human Genetics, VIB-KU Leuven, Leuven, Belgium
| | - E Wauters
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.
| | - J Wauters
- Laboratory for Clinical Infectious and Inflammatory Disorders, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
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Kalkanis A, Wauters E, Testelmans D, Yserbyt J, Lorent N, Louvaris Z, Godinas L, Van Mol P, Wauters J, Eleftheriou M, Dooms C. Early lung ultrasound assessment for the prognosis of patients hospitalized for COVID-19 pneumonia. A pilot study. Respir Med Res 2021; 80:100832. [PMID: 34130209 PMCID: PMC8177497 DOI: 10.1016/j.resmer.2021.100832] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/14/2021] [Accepted: 05/26/2021] [Indexed: 01/19/2023]
Abstract
Objective SARS CoV-2 is an epidemic viral infection that can cause mild to severe lung involvement. Newly apprehended knowledge on thoracic imaging abnormalities and the growing clinical experience on the evolution of this disease make the radiographic follow-up of hospitalized patients relevant. The value of consecutive bedside lung ultrasonography in the follow-up of hospitalized patients with SARS CoV-2 pneumonia and its correlation with other clinical and laboratory markers needs to be evaluated. Methods We assessed 39 patients [age: 64 y(60.1–68.7)] with confirmed SARS CoV-2 pneumonia. A total of 24 patients were hospitalized until the follow-up test, 9 were discharged early and 6 required a transfer to critical care unit. Two ultrasound scans of the lung were performed on day 1 and 4 of patients’ hospitalization. Primary endpoint was the magnitude of association between a global lung ultrasound score (LUS) and clinical and laboratory markers. Secondary endpoint was the association between the evolution of LUS with the corresponded changes in clinical and laboratory outcomes during hospitalization period. Results LUS score on admission was higher among the deteriorating patients and significantly (P = 0.038–0.0001) correlated (Spearman's rho) with the levels of C-reactive protein (0.58), lymphocytes (−0.33), SpO2 (−0.48) and oxygen supplementation (0.48) upon admission. The increase in LUS score between the two scans was significantly correlated (0.544, P = 0.006) with longer hospital stay. Conclusion Lung ultrasound assessment can be a useful as an imaging modality for SARS CoV-2 patients. Larger studies are needed to further investigate the predictive role of LUS in the duration and the outcome of the hospitalization of these patients.
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Affiliation(s)
- A Kalkanis
- Department of Respiratory Diseases, University Hospitals KU Leuven, Herestraat 49, 3000 Leuven, Belgium.
| | - E Wauters
- Department of Respiratory Diseases, University Hospitals KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - D Testelmans
- Department of Respiratory Diseases, University Hospitals KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - J Yserbyt
- Department of Respiratory Diseases, University Hospitals KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - N Lorent
- Department of Respiratory Diseases, University Hospitals KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Z Louvaris
- Department of Respiratory Diseases, University Hospitals KU Leuven, Herestraat 49, 3000 Leuven, Belgium; Faculty of Movement and Rehabilitation Sciences, Department of Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, KU Leuven, Leuven, Belgium
| | - L Godinas
- Department of Respiratory Diseases, University Hospitals KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - P Van Mol
- Department of Respiratory Diseases, University Hospitals KU Leuven, Herestraat 49, 3000 Leuven, Belgium; Laboratory of Translational Genetics, VIB - KU Leuven Center for Cancer Biology, Herestraat 49 b912, 3000 Leuven, Belgium
| | - J Wauters
- Department of Internal Medicine, University Hospitals KU Leuven, Leuven, Belgium
| | - M Eleftheriou
- Aristotle University of Thessaloniki, Department of Mathematics, Thessaloniki, Greece
| | - C Dooms
- Department of Respiratory Diseases, University Hospitals KU Leuven, Herestraat 49, 3000 Leuven, Belgium
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Meuwissen MPM, Feindt PH, Slijper T, Spiegel A, Finger R, de Mey Y, Paas W, Termeer KJAM, Poortvliet PM, Peneva M, Urquhart J, Vigani M, Black JE, Nicholas-Davies P, Maye D, Appel F, Heinrich F, Balmann A, Bijttebier J, Coopmans I, Wauters E, Mathijs E, Hansson H, Lagerkvist CJ, Rommel J, Manevska-Tasevska G, Accatino F, Pineau C, Soriano B, Bardaji I, Severini S, Senni S, Zinnanti C, Gavrilescu C, Bruma IS, Dobay KM, Matei D, Tanasa L, Voicilas DM, Zawalińska K, Gradziuk P, Krupin V, Martikainen A, Herrera H, Reidsma P. Impact of Covid-19 on farming systems in Europe through the lens of resilience thinking. Agric Syst 2021; 191:103152. [PMID: 36570633 PMCID: PMC9759495 DOI: 10.1016/j.agsy.2021.103152] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 03/30/2021] [Accepted: 04/13/2021] [Indexed: 06/13/2023]
Abstract
CONTEXT Resilience is the ability to deal with shocks and stresses, including the unknown and previously unimaginable, such as the Covid-19 crisis. OBJECTIVE This paper assesses (i) how different farming systems were exposed to the crisis, (ii) which resilience capacities were revealed and (iii) how resilience was enabled or constrained by the farming systems' social and institutional environment. METHODS The 11 farming systems included have been analysed since 2017. This allows a comparison of pre-Covid-19 findings and the Covid-19 crisis. Pre-Covid findings are from the SURE-Farm systematic sustainability and resilience assessment. For Covid-19 a special data collection was carried out during the early stage of lockdowns. RESULTS AND CONCLUSIONS Our case studies found limited impact of Covid-19 on the production and delivery of food and other agricultural products. This was due to either little exposure or the agile activation of robustness capacities of the farming systems in combination with an enabling institutional environment. Revealed capacities were mainly based on already existing connectedness among farmers and more broadly in value chains. Across cases, the experience of the crisis triggered reflexivity about the operation of the farming systems. Recurring topics were the need for shorter chains, more fairness towards farmers, and less dependence on migrant workers. However, actors in the farming systems and the enabling environment generally focused on the immediate issues and gave little real consideration to long-term implications and challenges. Hence, adaptive or transformative capacities were much less on display than coping capacities. The comparison with pre-Covid findings mostly showed similarities. If challenges, such as shortage of labour, already loomed before, they persisted during the crisis. Furthermore, the eminent role of resilience attributes was confirmed. In cases with high connectedness and diversity we found that these system characteristics contributed significantly to dealing with the crisis. Also the focus on coping capacities was already visible before the crisis. We are not sure yet whether the focus on short-term robustness just reflects the higher visibility and urgency of shocks compared to slow processes that undermine or threaten important system functions, or whether they betray an imbalance in resilience capacities at the expense of adaptability and transformability. SIGNIFICANCE Our analysis indicates that if transformations are required, e.g. to respond to concerns about transnational value chains and future pandemics from zoonosis, the transformative capacity of many farming systems needs to be actively enhanced through an enabling environment.
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Affiliation(s)
- M P M Meuwissen
- Business Economics, Wageningen University, P.O. Box 8130, 6700, EW, Wageningen, the Netherlands
| | - P H Feindt
- Strategic Communication, Wageningen University, the Netherlands
- Agricultural and Food Policy Group, Thaer Institute for Agricultural and Horticultural Sciences, Humboldt-Universität zu Berlin, Germany
| | - T Slijper
- Business Economics, Wageningen University, P.O. Box 8130, 6700, EW, Wageningen, the Netherlands
| | - A Spiegel
- Business Economics, Wageningen University, P.O. Box 8130, 6700, EW, Wageningen, the Netherlands
| | - R Finger
- Agricultural Economics and Policy Group, ETH, Zurich, Switzerland
| | - Y de Mey
- Business Economics, Wageningen University, P.O. Box 8130, 6700, EW, Wageningen, the Netherlands
| | - W Paas
- Plant Production Systems, Wageningen University, the Netherlands
| | - K J A M Termeer
- Public Administration and Policy, Wageningen University, the Netherlands
| | - P M Poortvliet
- Strategic Communication, Wageningen University, the Netherlands
| | - M Peneva
- Department of Natural Resources Economics, University of National and World Economy, Bulgaria
| | - J Urquhart
- Countryside and Community Research Institute, University of Gloucestershire, UK
| | - M Vigani
- Countryside and Community Research Institute, University of Gloucestershire, UK
| | - J E Black
- Countryside and Community Research Institute, University of Gloucestershire, UK
| | | | - D Maye
- Countryside and Community Research Institute, University of Gloucestershire, UK
| | - F Appel
- Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Germany
| | - F Heinrich
- Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Germany
| | - A Balmann
- Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Germany
| | - J Bijttebier
- Agricultural and Farm Development, Institute for Agricultural and Fisheries Research (ILVO), Belgium
| | - I Coopmans
- Division of Bioeconomics, KU, Leuven, Belgium
| | - E Wauters
- Agricultural and Farm Development, Institute for Agricultural and Fisheries Research (ILVO), Belgium
| | - E Mathijs
- Division of Bioeconomics, KU, Leuven, Belgium
| | - H Hansson
- Department of Economics, Sveriges Lantbruksuniversitet, Sweden
| | - C J Lagerkvist
- Department of Economics, Sveriges Lantbruksuniversitet, Sweden
| | - J Rommel
- Department of Economics, Sveriges Lantbruksuniversitet, Sweden
| | | | - F Accatino
- INRAE, AgroParisTech, Université Paris Saclay, France
| | - C Pineau
- Institut de l'Elevage, Aubière, France
| | - B Soriano
- Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM), Universidad Politecnica de Madrid, Spain
| | - I Bardaji
- Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM), Universidad Politecnica de Madrid, Spain
| | - S Severini
- Department of Agricultural and Forestry Sciences, Università degli Studi della Tuscia, Italy
| | - S Senni
- Department of Agricultural and Forestry Sciences, Università degli Studi della Tuscia, Italy
| | - C Zinnanti
- Department of Agricultural and Forestry Sciences, Università degli Studi della Tuscia, Italy
| | | | - I S Bruma
- Institute of Agricultural Economics, Romania
- "Gh. Zane" Institute of Economic and Social Research, Romanian Academy, Iasi Branch, Romania
| | - K M Dobay
- Institute of Agricultural Economics, Romania
- "Gh. Zane" Institute of Economic and Social Research, Romanian Academy, Iasi Branch, Romania
| | - D Matei
- Institute of Agricultural Economics, Romania
- "Gh. Zane" Institute of Economic and Social Research, Romanian Academy, Iasi Branch, Romania
| | - L Tanasa
- Institute of Agricultural Economics, Romania
- "Gh. Zane" Institute of Economic and Social Research, Romanian Academy, Iasi Branch, Romania
| | | | - K Zawalińska
- Institute of Rural and Agricultural Development, Polish Academy of Sciences, Poland
| | - P Gradziuk
- Institute of Rural and Agricultural Development, Polish Academy of Sciences, Poland
| | - V Krupin
- Institute of Rural and Agricultural Development, Polish Academy of Sciences, Poland
| | - A Martikainen
- Institute of Rural and Agricultural Development, Polish Academy of Sciences, Poland
| | - H Herrera
- System Dynamics Group, University of Bergen, Norway
| | - P Reidsma
- Plant Production Systems, Wageningen University, the Netherlands
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10
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Penttilä PA, Van Gassen S, Panovska D, Vanderbeke L, Van Herck Y, Quintelier K, Emmaneel A, Filtjens J, Malengier-Devlies B, Ahmadzadeh K, Van Mol P, Borràs DM, Antoranz A, Bosisio FM, Wauters E, Martinod K, Matthys P, Saeys Y, Garg AD, Wauters J, De Smet F. High dimensional profiling identifies specific immune types along the recovery trajectories of critically ill COVID19 patients. Cell Mol Life Sci 2021; 78:3987-4002. [PMID: 33715015 PMCID: PMC7955698 DOI: 10.1007/s00018-021-03808-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 10/28/2020] [Revised: 01/27/2021] [Accepted: 03/03/2021] [Indexed: 12/26/2022]
Abstract
The COVID-19 pandemic poses a major burden on healthcare and economic systems across the globe. Even though a majority of the population develops only minor symptoms upon SARS-CoV-2 infection, a significant number are hospitalized at intensive care units (ICU) requiring critical care. While insights into the early stages of the disease are rapidly expanding, the dynamic immunological processes occurring in critically ill patients throughout their recovery at ICU are far less understood. Here, we have analysed whole blood samples serially collected from 40 surviving COVID-19 patients throughout their recovery in ICU using high-dimensional cytometry by time-of-flight (CyTOF) and cytokine multiplexing. Based on the neutrophil-to-lymphocyte ratio (NLR), we defined four sequential immunotypes during recovery that correlated to various clinical parameters, including the level of respiratory support at concomitant sampling times. We identified classical monocytes as the first immune cell type to recover by restoration of HLA-DR-positivity and the reduction of immunosuppressive CD163 + monocytes, followed by the recovery of CD8 + and CD4 + T cell and non-classical monocyte populations. The identified immunotypes also correlated to aberrant cytokine and acute-phase reactant levels. Finally, integrative analysis of cytokines and immune cell profiles showed a shift from an initially dysregulated immune response to a more coordinated immunogenic interplay, highlighting the importance of longitudinal sampling to understand the pathophysiology underlying recovery from severe COVID-19.
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Affiliation(s)
- P A Penttilä
- KU Leuven Flow and Mass Cytometry Facility, KU Leuven, Leuven, Belgium
| | - S Van Gassen
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.,Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium
| | - D Panovska
- Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - L Vanderbeke
- Laboratory of Clinical Bacteriology and Mycology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Y Van Herck
- Laboratory of Experimental Oncology, Department of Oncology,, KU Leuven, Leuven, Belgium
| | - K Quintelier
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.,Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium
| | - A Emmaneel
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.,Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium
| | - J Filtjens
- Laboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - B Malengier-Devlies
- Laboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - K Ahmadzadeh
- Laboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - P Van Mol
- Laboratory of Translational Genetics, Department of Human Genetics, VIB-KU Leuven, Leuven, Belgium
| | - D M Borràs
- Laboratory for Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine (CMM), KU Leuven, Leuven, Belgium
| | - A Antoranz
- Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - F M Bosisio
- Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - E Wauters
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - K Martinod
- Center for Molecular and Vascular Biology, Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - P Matthys
- Laboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - Y Saeys
- Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium
| | - A D Garg
- Laboratory for Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine (CMM), KU Leuven, Leuven, Belgium
| | - J Wauters
- Laboratory for Clinical Infectious and Inflammatory Disorders, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - F De Smet
- Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
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11
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Van Mol P, Franken A, Dooms C, Yserbyt J, Testelmans D, Meersseman P, Hermans G, Wauters J, Gunst J, Nackaerts K, Vansteenkiste J, Garg A, Lambrechts D, Wauters E. LBA78 A microsimulation model to assess the impact of SARS-CoV-2 on cancer outcomes, healthcare organization and economic burden. Ann Oncol 2020. [PMCID: PMC7506428 DOI: 10.1016/j.annonc.2020.08.2319] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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12
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Vansteenkiste J, Wauters E, Reymen B, Ackermann CJ, Peters S, De Ruysscher D. Current status of immune checkpoint inhibition in early-stage NSCLC. Ann Oncol 2020; 30:1244-1253. [PMID: 31143921 DOI: 10.1093/annonc/mdz175] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Immune checkpoint inhibition (ICI) immunotherapy has revolutionized the approach to metastatic non-small-cell lung cancer (NSCLC). In particular, antibodies blocking the inhibitory immune checkpoints programmed death 1 (PD-1) and its ligand (PD-L1) are associated with higher response rates, improved overall survival and better tolerability as compared with conventional cytotoxic chemotherapy. Recently, ICI has moved from the second-line to the first-line setting for many patients with non-oncogene-addicted NSCLC, either alone or in combination with chemotherapy. The next logical step is to examine this therapy in patients with non-metastatic NSCLC to improve long-term overall survival and cure rates. For patients with unresectable stage III NSCLC, ICI with durvalumab after concurrent chemoradiotherapy has brought a major improvement in 2-year progression-free and overall survival, which holds promise for an improved cure rate. As the relapse pattern in patients with completely resected early-stage NSCLC is predominantly systemic, high expectations rest on the integration of ICI therapy in their treatment approach. A large number of studies with adjuvant or neo-adjuvant ICI are ongoing and will be discussed here. The advent of stereotactic ablative radiotherapy has brought a valid alternative treatment of patients unfit for or not willing to undergo surgery. Data on combining systemic therapy and stereotactic ablative radiotherapy are virtually non-existent, but there is a strong biological rationale to combine radiotherapy and ICI therapy. Early findings in small feasibility studies are promising and now need to be explored in well-designed phase III trials.
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Affiliation(s)
- J Vansteenkiste
- Respiratory Oncology Unit, University Hospital KU Leuven, Leuven, Belgium.
| | - E Wauters
- Respiratory Oncology Unit, University Hospital KU Leuven, Leuven, Belgium
| | - B Reymen
- Radiation Oncology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - C J Ackermann
- Department of Oncology, Christie NHS Foundation Trust, Manchester, UK
| | - S Peters
- Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - D De Ruysscher
- Radiation Oncology, Maastricht University Medical Centre, Maastricht, The Netherlands
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13
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Vansteenkiste J, Wauters E. Tyrosine kinase inhibition of EGFR: a successful history of targeted therapy for NSCLC since 20 years. Ann Oncol 2019; 29:i1-i2. [PMID: 29462258 DOI: 10.1093/annonc/mdx724] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- J Vansteenkiste
- Respiratory Oncology Unit, Department of Respiratory Medicine, University Hospitals KU Leuven, Leuven, Belgium
| | - E Wauters
- Respiratory Oncology Unit, Department of Respiratory Medicine, University Hospitals KU Leuven, Leuven, Belgium
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14
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Rojo-Gimeno C, Fievez V, Wauters E. The economic value of information provided by milk biomarkers under different scenarios: Case-study of an ex-ante analysis of fat-to-protein ratio and fatty acid profile to detect subacute ruminal acidosis in dairy cows. Livest Sci 2018. [DOI: 10.1016/j.livsci.2018.02.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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15
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Vanden Bempt I, Wauters E, Vansteenkiste J. Genetic profiling of cell-free DNA from cerebrospinal fluid: opening the barrier to leptomeningeal metastasis in EGFR-mutant NSCLC. Ann Oncol 2018; 29:789-791. [DOI: 10.1093/annonc/mdy053] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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16
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Affiliation(s)
- E Wauters
- Respiratory Oncology Unit (Pneumology), University Hospital KU Leuven, Leuven, Belgium.,Leuven Lung Cancer Group, University Hospital KU Leuven, Leuven, Belgium.,Laboratory of Pneumology, Department of Chronic Diseases, Metabolism and Ageing, KU Leuven, Leuven, Belgium
| | - J Vansteenkiste
- Respiratory Oncology Unit (Pneumology), University Hospital KU Leuven, Leuven, Belgium.,Leuven Lung Cancer Group, University Hospital KU Leuven, Leuven, Belgium.,Laboratory of Pneumology, Department of Chronic Diseases, Metabolism and Ageing, KU Leuven, Leuven, Belgium
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17
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Collineau L, Rojo-Gimeno C, Léger A, Backhans A, Loesken S, Nielsen E, Postma M, Emanuelson U, Beilage E, Sjölund M, Wauters E, Stärk K, Dewulf J, Belloc C, Krebs S. Herd-specific interventions to reduce antimicrobial usage in pig production without jeopardising technical and economic performance. Prev Vet Med 2017; 144:167-178. [DOI: 10.1016/j.prevetmed.2017.05.023] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 05/26/2017] [Accepted: 05/30/2017] [Indexed: 11/17/2022]
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18
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Reynders K, Wauters E, Vansteenkiste J, Decaluwé H, De Leyn P, Nackaerts K, Peeters S, Dooms C, Janssens W, Lambrechts D, De Ruysscher D. OC-0047: PD-L1/PD-L2 gene expression differs in tumor vs. lung tissue in non-small cell lung cancer patients. Radiother Oncol 2016. [DOI: 10.1016/s0167-8140(16)31296-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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19
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Ruttens D, Verleden SE, Goeminne PC, Vandermeulen E, Wauters E, Cox B, Vos R, Van Raemdonck DE, Lambrechts D, Vanaudenaerde BM, Verleden GM. Genetic variation in immunoglobulin G receptor affects survival after lung transplantation. Am J Transplant 2014; 14:1672-7. [PMID: 24802006 DOI: 10.1111/ajt.12745] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [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: 11/13/2013] [Revised: 02/24/2014] [Accepted: 03/15/2014] [Indexed: 01/25/2023]
Abstract
Chronic rejection remains the most important complication after lung transplantation (LTx). There is mounting evidence that both rheumatoid arthritis and chronic rejection share similar inflammatory mechanisms. As genetic variants in the FCGR2A gene that encodes the immunoglobulin gamma receptor (IgGR) have been identified in rheumatoid arthritis, we investigated the relationship between a genetic variant in the IgGR gene and chronic rejection and mortality after LTx. Recipient DNA from blood or explant lung tissue of 418 LTx recipients was evaluated for the IgGR (rs12746613) polymorphism. Multivariate analysis was carried out, correcting for several co-variants. In total, 216 patients had the CC-genotype (52%), 137 had the CT-genotype (33%) and 65 had the TT-genotype (15%). Univariate analysis demonstrated higher mortality in the TT-genotype compared with both other genotypes (p < 0.0001). Multivariate analysis showed that the TT-genotype had worse survival compared with the CC-genotype (hazard ratio [HR] = 2.26, p = 0.0002) but no significance was observed in the CT-genotype (HR = 1.32, p = 0.18). No difference was seen for chronic rejection. The TT-genotype demonstrated more respiratory infections (total, p = 0.037; per patient, p = 0.0022) compared with the other genotypes. A genetic variant in the IgGR is associated with higher mortality and more respiratory infections, although not with increased prevalence of chronic rejection, after LTx.
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Affiliation(s)
- D Ruttens
- Lung Transplant Unit, Laboratory of Pneumology, KU Leuven, University Hospital Gasthuisberg Leuven, Leuven, Belgium
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20
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Ruttens D, Verleden S, Goeminne P, Vandermeulen E, Wauters E, Vos R, Van Raemdonck D, Lambrechts D, Vanaudenaerde B, Verleden G. Genetic Variation in Immunoglobulin G Receptor Affects Survival After Lung Transplantation. J Heart Lung Transplant 2014. [DOI: 10.1016/j.healun.2014.01.110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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21
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Reynders K, Wauters E, Vansteenkiste J, Decaluwé H, Nackaerts K, Peeters S, Dooms C, Janssens W, Lambrechts D, De Ruysscher D. EP-1149: Influence of histology and smoking status on PD-L1, PD1 and CTLA4 expression of tumor vs. normal lung tissue in NSCLC. Radiother Oncol 2014. [DOI: 10.1016/s0167-8140(15)31267-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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22
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Ruttens D, Wauters E, Kicinski M, Verleden S, Vaneylen A, Vandermeulen E, Vos R, Van Raemdonck D, Nawrot T, Lambrechts D, Verleden G, Vanaudenaerde B. Functional Association between a Genetic Variant in the IL-17 Receptor Gene and Chronic Rejection after Lung Transplantation. J Heart Lung Transplant 2013. [DOI: 10.1016/j.healun.2013.01.884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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23
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Wauters S, Wauters E, Ruttens D, Somers J, Verleden S, Vanaudenaerde B, Lambrechts D, van Loon J, Verleden G, Van Raemdonck D. 210 Toll-Like Receptor 4 Polymorphisms and the Risk of Primary Graft Dysfunction after Lung Transplantation. J Heart Lung Transplant 2012. [DOI: 10.1016/j.healun.2012.01.209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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24
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Ruttens D, Verleden S, Wauters E, Vaneylen A, Robin V, Lambrechts D, Van Raemdonck D, Verleden G, Vanaudenaerde B. 208 IL-23R Locus Polymorphism Is Associated with Higher Mortality, after Lung Transplantation. J Heart Lung Transplant 2012. [DOI: 10.1016/j.healun.2012.01.207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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25
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Wauters E, Smeets D, Coolen J, Verschakelen J, De Leyn P, Decramer M, Vansteenkiste J, Janssens W, Lambrechts D. The TERT-CLPTM1L locus for lung cancer predisposes to bronchial obstruction and emphysema. Eur Respir J 2011; 38:924-31. [PMID: 21622582 DOI: 10.1183/09031936.00187110] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Clinical studies suggest that bronchial obstruction and emphysema increase susceptibility to lung cancer. We assessed the possibility of a common genetic origin and investigated whether the lung cancer susceptibility locus on chromosome 5p15.33 increases the risk for bronchial obstruction and emphysema. Three variants in the 5p15.33 locus encompassing the TERT and CLPTM1L genes were genotyped in 777 heavy smokers and 212 lung cancer patients. Participants underwent pulmonary function tests and computed tomography of the chest, and completed questionnaires assessing smoking behaviour. The rs31489 C-allele correlated with reduced forced expiratory volume in 1 s (p=0.006). Homozygous carriers of the rs31489 C-allele exhibited increased susceptibility to bronchial obstruction (OR 1.82, 95% CI 1.24-2.69; p=0.002). A similar association was observed for diffusing capacity of the lung for carbon monoxide (p=0.004). Consistent with this, CC-carriers had an increased risk of emphysema (OR 2.04, 95% CI 1.41-2.94; p=1.73 × 10(-4)) and displayed greater alveolar destruction. Finally, CC-carriers also had an increased risk for lung cancer (OR 1.90, 95% CI 1.21-2.99; p=0.005), and were more susceptible to developing both lung cancer and bronchial obstruction than lung cancer alone (OR 2.11, 95% CI 1.04-4.26; p=0.038). The rs31489 variant on 5p15.33 is associated with bronchial obstruction, presence and severity of emphysema, and lung cancer.
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Affiliation(s)
- E Wauters
- Vesalius Research Center, VIB, KU Leuven, Campus Gasthuisberg, Herestraat 49, Leuven, Belgium
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26
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Froelich S, Houlden H, Rizzu P, Chakraverty S, Baker M, Kwon J, Nowotny P, Isaacs A, Nowotny V, Wauters E, van Baren MJ, Oostra BA, Hardy J, Lannfelt L, Goate A, Hutton M, Lendon CL, Heutink P. Construction of a detailed physical and transcript map of the FTDP-17 candidate region on chromosome 17q21. Genomics 1999; 60:129-36. [PMID: 10486204 DOI: 10.1006/geno.1999.5892] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Frontotemporal dementia and parkinsonism linked to chromosome 17 (FTDP-17) is an autosomal dominant condition clinically characterized by behavioral, cognitive, and motor disturbances. Until now, at least 13 different FTDP-17 families that show linkage to chromosome 17q21 have been described. To characterize the FTDP-17 candidate region, flanked by the markers D17S1789 and D17S1804, we constructed a physical map in P1 and PAC clones. A detailed transcript map was generated by positioning known genes and EST clusters to the physical map. In total, we investigated 150 STSs mapped to this region. In addition, novel transcripts were isolated by exon-trapping. We were able to localize 19 known genes and a number of ESTs to this chromosomal region. Furthermore, seven novel genes were identified for which we isolated the full-length sequence.
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Affiliation(s)
- S Froelich
- Section of Geriatric Medicine, Karolinska Institutet, Huddinge, S-14186, Sweden.
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27
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Hutton M, Lendon CL, Rizzu P, Baker M, Froelich S, Houlden H, Pickering-Brown S, Chakraverty S, Isaacs A, Grover A, Hackett J, Adamson J, Lincoln S, Dickson D, Davies P, Petersen RC, Stevens M, de Graaff E, Wauters E, van Baren J, Hillebrand M, Joosse M, Kwon JM, Nowotny P, Che LK, Norton J, Morris JC, Reed LA, Trojanowski J, Basun H, Lannfelt L, Neystat M, Fahn S, Dark F, Tannenberg T, Dodd PR, Hayward N, Kwok JB, Schofield PR, Andreadis A, Snowden J, Craufurd D, Neary D, Owen F, Oostra BA, Hardy J, Goate A, van Swieten J, Mann D, Lynch T, Heutink P. Association of missense and 5'-splice-site mutations in tau with the inherited dementia FTDP-17. Nature 1998; 393:702-5. [PMID: 9641683 DOI: 10.1038/31508] [Citation(s) in RCA: 2443] [Impact Index Per Article: 94.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Thirteen families have been described with an autosomal dominantly inherited dementia named frontotemporal dementia and parkinsonism linked to chromosome 17 (FTDP-17), historically termed Pick's disease. Most FTDP-17 cases show neuronal and/or glial inclusions that stain positively with antibodies raised against the microtubule-associated protein Tau, although the Tau pathology varies considerably in both its quantity (or severity) and characteristics. Previous studies have mapped the FTDP-17 locus to a 2-centimorgan region on chromosome 17q21.11; the tau gene also lies within this region. We have now sequenced tau in FTDP-17 families and identified three missense mutations (G272V, P301L and R406W) and three mutations in the 5' splice site of exon 10. The splice-site mutations all destabilize a potential stem-loop structure which is probably involved in regulating the alternative splicing of exon10. This causes more frequent usage of the 5' splice site and an increased proportion of tau transcripts that include exon 10. The increase in exon 10+ messenger RNA will increase the proportion of Tau containing four microtubule-binding repeats, which is consistent with the neuropathology described in several families with FTDP-17.
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Affiliation(s)
- M Hutton
- Mayo Clinic Jacksonville, Florida 32224, USA.
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Bourgeois P, Malarme M, Wauters E, Van Frank R, Ferremans W. Marrow scintigraphic changes after hormonal therapy. J Nucl Med 1992; 33:1427-8. [PMID: 1613591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
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Vanderstraeten P, Wauters E, Muylle E, Verduyn G, Vanderheyden E, Vansant EF. A continuous quantitative detection method for total mercaptans, organic sulphides, H2S, and CS2 for odouriferous emissions. JAPCA 1988; 38:1271-4. [PMID: 3236035 DOI: 10.1080/08940630.1988.10466474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Wauters E, Walravens E, Muulle E, Verduyn G. An evaluation of a fast sampling procedure for the trace analysis of volatile organic compounds in ambient air. Environ Monit Assess 1983; 3:151-160. [PMID: 24258932 DOI: 10.1007/bf00398844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/1982] [Revised: 12/28/1982] [Indexed: 06/02/2023]
Abstract
This study deals with the evaluation of a fast method for sampling of volatile organic compounds in ambient air. Special bags made of an inert material are used together with a large handpump which allows a sampling of one liter per second. After the sampling, the pollutants are concentrated by adsorption on Tenax and transfered by heat desorption, to a small capillary precolumn cooled with liquid nitrogen, or directly trapped on the precolumn. The suitability of this technique was evaluated by sampling complex synthetic mixtures of known concentration and composition, after which the samples were submitted to a series of operations such as transport, aging, changing of the humidity, heating and cooling, irradiation, etc. Changes in the original mixtures, caused by adsorption, diffusion, chemical or photochemical reactions were investigated by GC-MS analysis. The results of the study show that under certain conditions the samples can be preserved for a rather long period of time without noticeable changes in composition. However for certain compounds, severe quantitative losses occur after one day storage. Finally a practical application of this method is described in a recent case of strong odour annoyance by a chemical plant in the north of Belgium.
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Affiliation(s)
- E Wauters
- Institute for Hygiene and Epidemiology, Ministry of Public Health, J. Wytsmanstreet 14, 1050, Brussels, Belgium
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Wauters E, Sandra P, Verzele M. Qualitative and semi-quantitative analysis of the non-polar organic fraction of air particulate matter. J Chromatogr A 1979. [DOI: 10.1016/s0021-9673(00)84243-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Abstract
Selective pudendal arteriography is indicated in selected cases of male impotence when there is a strong presumption that peripheral arterial lesions are responsible for it. These lesions are classified as: (a) traumatic; (b) obstructive in thrombo-angiitis or atheroma, and (c) dysplasic. Selective arteriography will confirm the diagnosis and indicate the nature of the obstruction, its degree and extension.
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Dierickx P, Wauters E, Vendrig J. On the Requirement of a Hydroxynitrile Lyase in the Conversion of Orthonil to Chloro-Tolylacetic Acid. ACTA ACUST UNITED AC 1975. [DOI: 10.1016/s0044-328x(75)80081-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Wellens D, Wauters E. Tyramine-induced modifications of ventricular fibrillation thresholds in the dog: influence of sympatholytic agents. Arch Int Pharmacodyn Ther 1973; 201:253-61. [PMID: 4125092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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36
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Wellens D, Wauters E, Szigetvari E. Hemodynamic and pharmacological aspects of the biphasic pressor response to acetylcholine in atropinized dogs. Experientia 1972; 28:940-1. [PMID: 4403938 DOI: 10.1007/bf01924960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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37
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Wellens D, Wauters E. Modification of ventricular fibrillation thresholds after sympatholytic drugs in the dog. Arch Int Pharmacodyn Ther 1972; 198:355-71. [PMID: 4403391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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van Bogaert A, van Genabeek A, van Bogaert PP, Wauters E. [Normal coronary tachygram (experimental study)]. Arch Mal Coeur Vaiss 1970; 63:1559-72. [PMID: 4993393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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Wellens D, Szigetvari E, Wauters E. Reflex vasodilation, ergotamine and uptake of circulating norepinephrine. Arch Int Pharmacodyn Ther 1970; 183:412-5. [PMID: 5457475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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Vanremoortere E, Wauters E. Fibrilation threshold curves and anti-arrhythmic drugs. Arch Int Pharmacodyn Ther 1968; 176:476-479. [PMID: 5715418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
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Wellens D, Wauters E. Modification of the hemodynamic effects of isoproterenol by ergotamine. Arch Int Pharmacodyn Ther 1968; 171:246-50. [PMID: 5646023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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Wellens D, Wauters E. Norepinephrine induced reflex vasodilation and vascular effects of serotonin. Arch Int Pharmacodyn Ther 1966; 164:140-9. [PMID: 4382036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Wellens D, Wauters E. Norepinephrine-induced reflex vasodilation and adrenergic beta-receptors. Arch Int Pharmacodyn Ther 1966; 159:401-6. [PMID: 4380564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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