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Aydin O, Akbay NO, Buyukatalay ZC, Arslan F, Dumlupinar E, Sozener ZC, Gokcan MK, Yildiz O, Demirel YS, Mungan D. Evaluation of sinonasal involvement in patients with asthma and chronic obstructive pulmonary disease. Allergy Asthma Proc 2024; 45:166-172. [PMID: 38755778 DOI: 10.2500/aap.2024.45.240014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
Background: Asthma and chronic obstructive pulmonary disease (COPD) are the most common obstructive diseases. Based on the similarities, we aimed to evaluate sinonasal symptoms in patients with asthma or COPD, and compare the two diseases with regard to upper-airway involvement. Methods: Patients with asthma or with COPD who were followed up at Ankara University Immunology and Allergy or Chest Diseases Departments were included in the study. The participants went through pulmonary function tests, skin-prick tests, and disease severity assessment of either disease. Nasal endoscopic evaluations of all the patients were performed in the Department of Otorhinolaryngology. Lund-Mackay scoring was performed on the computed tomography of the paranasal sinus. Chronic rinosinusitis (CRS) diagnosis was made as recent guidelines. Results: A total of 112 subjects (number of women/men: n = 67/45; median age, 49 years [The range for IQR was 22 years]) were included in the study. Fifty-five patients had asthma, 33 had COPD, and 24 were healthy controls. Nasal symptoms were more frequent in the patients with asthma (patients with asthma, n = 52 [98%]; patients with COPD, n = 17 [52%]; controls, n = 9 [38%]) (p < 0.001). The median (IQR) 22-item Sino-Nasal Outcome Test (SNOT-22) questionnaire score was higher in the patients with asthma (33 [20-50]) than in the patients with COPD (8 [1.5-18.7]) and the control group (3.5 [0-18.7]) (p < 0.01). Patients with asthma had significantly higher prevalence rates of rhinosinusitis than did those in the COPD and the control groups (36%, 15.6%, 8.3%, respectively; p < 0.01). The SNOT-22 optimal cutoff score was calculated as ≥11 to detect the score limit for CRS prediction with the best sensitivity and specificity. Conclusion: As a result, patients with both asthma and COPD may have upper-airway symptoms. CRS, was primarily seen in the patients with asthma. Accordingly, SNOT-22 scores were higher in the patients with asthma than in those in the COPD and the control groups. A referral to the Ear Nose Throat department for further evaluation with nasal endoscopy and computed tomography of the paranasal may be required in a subgroup of patients.
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Affiliation(s)
- Omur Aydin
- From the Division of Immunology and Allergy, Department of Chest Diseases, Ankara University School of Medicine, Ankara, Turkey
| | - Nilay Orak Akbay
- From the Division of Immunology and Allergy, Department of Chest Diseases, Ankara University School of Medicine, Ankara, Turkey
| | | | - Fatma Arslan
- Department of Chest Diseases, Ankara University School of Medicine, Ankara, Turkey, and
| | - Ebru Dumlupinar
- Department of Biostatistics, Ankara University School of Medicine, Ankara, Turkey
| | - Zeynep Celebi Sozener
- From the Division of Immunology and Allergy, Department of Chest Diseases, Ankara University School of Medicine, Ankara, Turkey
| | - Mustafa Kursat Gokcan
- Department of Ear, Nose, Throat, Ankara University School of Medicine, Ankara, Turkey
| | - Oznur Yildiz
- Department of Chest Diseases, Ankara University School of Medicine, Ankara, Turkey, and
| | - Yavuz Selim Demirel
- From the Division of Immunology and Allergy, Department of Chest Diseases, Ankara University School of Medicine, Ankara, Turkey
| | - Dilsad Mungan
- From the Division of Immunology and Allergy, Department of Chest Diseases, Ankara University School of Medicine, Ankara, Turkey
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2
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Joumaa H, Sigogne R, Maravic M, Perray L, Bourdin A, Roche N. Artificial intelligence to differentiate asthma from COPD in medico-administrative databases. BMC Pulm Med 2022; 22:357. [PMID: 36127649 PMCID: PMC9487098 DOI: 10.1186/s12890-022-02144-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 08/26/2022] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION Discriminating asthma from chronic obstructive pulmonary disease (COPD) using medico-administrative databases is challenging but necessary for medico-economic analyses focusing on respiratory diseases. Artificial intelligence (AI) may improve dedicated algorithms. OBJECTIVES To assess performance of different AI-based approaches to distinguish asthmatics from COPD patients in medico-administrative databases where the clinical diagnosis is absent. An "Asthma COPD Overlap" category was defined to further test whether AI can detect complexity. METHODS This study included 178,962 patients treated by two "R03" treatment prescriptions at least from January 2016 to December 2018 and managed by either a general practitioner and/or a pulmonologist participating in a permanent longitudinal observatory of prescription in ambulatory medicine (LPD). Clinical diagnoses are available in this database and were used as gold standards to develop diagnostic rules. Three types of AI approaches were explored using data restricted to demographics and treatment dispensations: multinomial regression, gradient boosting and recurrent neural networks (RNN). The best performing model (based on metric properties) was then applied to estimate the size of asthma and COPD populations based on a database (LRx) of treatment dispensations between July, 2018 and June, 2019. RESULTS The best models were obtained with the boosting approach and RNN, with an overall accuracy of 68%. Performance metrics were better for asthma than COPD. Based on LRx data, the extrapolated numbers of patients treated for asthma and COPD in France were 3.7 and 1.2 million, respectively. Asthma patients were younger than COPD patients (mean, 49.9 vs. 72.1 years); COPD occurred mostly in men (68%) compared to asthma (33%). CONCLUSION AI can provide models with acceptable accuracy to distinguish between asthma, ACO and COPD in medico-administrative databases where the clinical diagnosis is absent. Deep learning and machine learning (RNN) had similar performances in this regard.
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Affiliation(s)
- Hassan Joumaa
- Department of Respiratory Medicine, Cochin Hospital, Assistance Publique - Hôpitaux de Paris (APHP), Paris, France.
| | | | - Milka Maravic
- IQVIA, La Défense, France.,Hôpital Lariboisière, Rhumatologie, Paris, France
| | | | - Arnaud Bourdin
- PhyMedExp, INSERM U1046, CNRS UMR 9214, University of Montpellier, Montpellier, France.,Department of Respiratory Medicine, Arnaud de Villeneuve Hospital, CHU Montpellier, Montpellier, France
| | - Nicolas Roche
- Department of Respiratory Medicine, Cochin Hospital, Assistance Publique - Hôpitaux de Paris (APHP), Paris, France.,University Paris Descartes (EA2511), Paris, France
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3
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Tapryal N, Shahabi S, Chakraborty A, Hosoki K, Wakamiya M, Sarkar G, Sharma G, Cardenas VJ, Boldogh I, Sur S, Ghosh G, Hazra TK. Intrapulmonary administration of purified NEIL2 abrogates NF-κB-mediated inflammation. J Biol Chem 2021; 296:100723. [PMID: 33932404 PMCID: PMC8164026 DOI: 10.1016/j.jbc.2021.100723] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 04/22/2021] [Accepted: 04/27/2021] [Indexed: 02/07/2023] Open
Abstract
Aberrant or constitutive activation of nuclear factor kappa B (NF-κB) contributes to various human inflammatory diseases and malignancies via the upregulation of genes involved in cell proliferation, survival, angiogenesis, inflammation, and metastasis. Thus, inhibition of NF-κB signaling has potential for therapeutic applications in cancer and inflammatory diseases. We reported previously that Nei-like DNA glycosylase 2 (NEIL2), a mammalian DNA glycosylase, is involved in the preferential repair of oxidized DNA bases from the transcriptionally active sequences via the transcription-coupled base excision repair pathway. We have further shown that Neil2-null mice are highly sensitive to tumor necrosis factor α (TNFα)- and lipopolysaccharide-induced inflammation. Both TNFα and lipopolysaccharide are potent activators of NF-κB. However, the underlying mechanism of NEIL2's role in the NF-κB-mediated inflammation remains elusive. Here, we have documented a noncanonical function of NEIL2 and demonstrated that the expression of genes, such as Cxcl1, Cxcl2, Cxcl10, Il6, and Tnfα, involved in inflammation and immune cell migration was significantly higher in both mock- and TNFα-treated Neil2-null mice compared with that in the WT mice. NEIL2 blocks NF-κB's binding to target gene promoters by directly interacting with the Rel homology region of RelA and represses proinflammatory gene expression as determined by co-immunoprecipitation, chromatin immunoprecipitation, and electrophoretic mobility-shift assays. Remarkably, intrapulmonary administration of purified NEIL2 via a noninvasive nasal route significantly abrogated binding of NF-κB to cognate DNA, leading to decreased expression of proinflammatory genes and neutrophil recruitment in Neil2-null as well as WT mouse lungs. Our findings thus highlight the potential of NEIL2 as a biologic for inflammation-associated human diseases.
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Affiliation(s)
- Nisha Tapryal
- Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Shandy Shahabi
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California, USA
| | - Anirban Chakraborty
- Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Koa Hosoki
- Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, USA,Department of Medicine, Immunology, Allergy and Rheumatology, Baylor College of Medicine, Houston, Texas, USA
| | - Maki Wakamiya
- Departments of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Gobinda Sarkar
- Department of Orthopedics, Mayo Clinic and Foundation, Rochester, Minnesota, USA,Department of Experimental Pathology, Mayo Clinic and Foundation, Rochester, Minnesota, USA
| | - Gulshan Sharma
- Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Victor J. Cardenas
- Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Istvan Boldogh
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Sanjiv Sur
- Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, USA,Department of Medicine, Immunology, Allergy and Rheumatology, Baylor College of Medicine, Houston, Texas, USA
| | - Gourisankar Ghosh
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California, USA
| | - Tapas K. Hazra
- Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, USA,For correspondence: Tapas K. Hazra
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4
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Mart MF, Peebles RS. Asthma-chronic obstructive pulmonary disease overlap syndrome. Curr Opin Immunol 2020; 66:161-166. [PMID: 33238202 DOI: 10.1016/j.coi.2020.10.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 10/04/2020] [Indexed: 01/13/2023]
Abstract
Overlap of asthma and chronic obstructive lung disease (ACO) in patients with obstructive lung disease is growing in recognition, though there is no consistent agreement on the diagnostic criteria for the disease process. Patients with ACO have distinct clinical characteristics and trajectories, which are representative of a heterogenous, multifactorial, and incompletely understood inflammatory pathophysiology. Current treatment strategies are focused on titration of inhaled therapies such as long-acting bronchodilators, with increasing interest in the use of targeted biologic therapies aimed at the underlying inflammatory mechanisms. Future directions for research will focus on elucidating the varied inflammatory signatures leading to ACO, the development of consistent diagnostic criteria and biomarkers of disease, and improving the clinical management with an eye toward targeted therapies.
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Affiliation(s)
- Matthew F Mart
- Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Ray Stokes Peebles
- Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Tennessee Valley Healthcare System, United States Department of Veterans Affairs, Nashville, TN, USA.
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5
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Ren W, Wang Z, Wang J, Wu Z, Ren Q, Yu A, Ruan Y. IL-5 overexpression attenuates aortic dissection by reducing inflammation and smooth muscle cell apoptosis. Life Sci 2019; 241:117144. [PMID: 31830482 DOI: 10.1016/j.lfs.2019.117144] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Revised: 11/18/2019] [Accepted: 12/04/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND As an inflammation-related cytokine, interleukin (IL)-5 has been reported to be involved in the development of cardiovascular diseases, such as chronic heart failure and atherosclerosis. However, the role of IL-5 in acute aortic dissection (AAD) has barely been explored. METHODS Aortic tissue samples from normal donors and patients with AAD were collected, and the expression and localization of IL-5 in aortic tissue were analyzed. In addition, a mouse AAD model was established by administering angiotensin II (Ang II) to β-aminopropionitrile (BAPN)-treated mice. Morphological examinations and histopathologic analyses were performed to evaluate the effects of IL-5 overexpression on the occurrence of AAD. RESULTS IL-5 expression was significantly decreased in aorta samples from AAD patients compared to those from donors, and macrophages were the main source of IL-5. In addition, IL-5 expression was decreased in plasma and aortic tissue samples from AAD mice. IL-5 overexpression markedly attenuated the occurrence of AAD in mice and produced corresponding decreases in the inflammatory response and cell apoptosis. In cocultures of macrophages and smooth muscle cells (SMCs), IL-5 overexpression in the macrophages significantly reduced Ang II-induced SMC apoptosis. CONCLUSION IL-5 overexpression suppresses the development of AAD by reducing inflammation and SMC apoptosis. These results suggest that IL-5 is a potential therapeutic target in AAD.
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Affiliation(s)
- Wei Ren
- Department of Cardiovascular Surgery, Renmin Hospital of Wuhan University, Wuhan 430060,China
| | - Zhiwei Wang
- Department of Cardiovascular Surgery, Renmin Hospital of Wuhan University, Wuhan 430060,China.
| | - Jiahui Wang
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Zhiyong Wu
- Department of Cardiovascular Surgery, Renmin Hospital of Wuhan University, Wuhan 430060,China
| | - Quan Ren
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Anfeng Yu
- Department of Cardiovascular Surgery, Renmin Hospital of Wuhan University, Wuhan 430060,China
| | - Yongle Ruan
- Department of Cardiovascular Surgery, Renmin Hospital of Wuhan University, Wuhan 430060,China
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Kelly J, Minoda Y, Meredith T, Cameron G, Philipp MS, Pellicci DG, Corbett AJ, Kurts C, Gray DH, Godfrey DI, Kannourakis G, Berzins SP. Chronically stimulated human MAIT cells are unexpectedly potent IL-13 producers. Immunol Cell Biol 2019; 97:689-699. [PMID: 31323167 PMCID: PMC6790710 DOI: 10.1111/imcb.12281] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 06/24/2019] [Accepted: 06/26/2019] [Indexed: 12/11/2022]
Abstract
Mucosal‐associated invariant T (MAIT) cells are unconventional T cells that recognize antigens derived from riboflavin biosynthesis. In addition to anti‐microbial functions, human MAIT cells are associated with cancers, autoimmunity, allergies and inflammatory disorders, although their role is poorly understood. Activated MAIT cells are well known for their rapid release of Th1 and Th17 cytokines, but we have discovered that chronic stimulation can also lead to potent interleukin (IL)‐13 expression. We used RNA‐seq and qRT‐PCR to demonstrate high expression of the IL‐13 gene in chronically stimulated MAIT cells, and directly identify IL‐13 using intracellular flow cytometry and multiplex bead analysis of MAIT cell cultures. This unexpected finding has important implications for IL‐13‐dependent diseases, such as colorectal cancer (CRC), that occur in mucosal areas where MAIT cells are abundant. We identify MAIT cells near CRC tumors and show that these areas and precancerous polyps express high levels of the IL‐13 receptor, which promotes tumor progression and metastasis. Our data suggest that MAIT cells have a more complicated role in CRC than currently realized and that they represent a promising new target for immunotherapies where IL‐13 can be a critical factor.
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Affiliation(s)
- Jason Kelly
- Fiona Elsey Cancer Research Institute, Ballarat, VIC, Australia.,Federation University Australia, Ballarat, VIC, Australia
| | - Yosuke Minoda
- Fiona Elsey Cancer Research Institute, Ballarat, VIC, Australia.,Federation University Australia, Ballarat, VIC, Australia
| | - Tobias Meredith
- Fiona Elsey Cancer Research Institute, Ballarat, VIC, Australia.,Federation University Australia, Ballarat, VIC, Australia
| | - Garth Cameron
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Marie-Sophie Philipp
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Daniel G Pellicci
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.,The Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Alexandra J Corbett
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | | | - Daniel Hd Gray
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia
| | - Dale I Godfrey
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.,Australian Research Council Centre of Excellence for Advanced Molecular Imaging, University of Melbourne, Melbourne, VIC, Australia
| | - George Kannourakis
- Fiona Elsey Cancer Research Institute, Ballarat, VIC, Australia.,Federation University Australia, Ballarat, VIC, Australia
| | - Stuart P Berzins
- Fiona Elsey Cancer Research Institute, Ballarat, VIC, Australia.,Federation University Australia, Ballarat, VIC, Australia.,Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
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7
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Wu AY, Sur S, Grant JA. Treating insect bite hypersensitivity in horses by using active vaccination against IL-5. J Allergy Clin Immunol 2018; 142:1060-1061. [PMID: 29981806 DOI: 10.1016/j.jaci.2018.06.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 06/19/2018] [Accepted: 06/28/2018] [Indexed: 01/21/2023]
Affiliation(s)
- Albert Y Wu
- Allergy and Immunology Division, University of Texas Medical Branch, Galveston, Tex.
| | - Sanjiv Sur
- Allergy and Immunology Division, University of Texas Medical Branch, Galveston, Tex
| | - J Andrew Grant
- Allergy and Immunology Division, University of Texas Medical Branch, Galveston, Tex
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