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Ancel J, Chen E, Pavot A, Regard L, Le Rouzic O, Guecamburu M, Zysman M, Rapin A, Martin C, Soumagne T, Patout M, Roche N, Deslee G. [Take-home messages from the 2nd COPD 2023 Biennial of the French Society of Respiratory Diseases. Placing the patient at the center of the care pathway]. Rev Mal Respir 2024; 41:331-342. [PMID: 38609767 DOI: 10.1016/j.rmr.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2024]
Abstract
INTRODUCTION The second COPD Biennial organized by the COPD working group of the French Society of Respiratory Diseases took place in Paris (Cochin) on 13th December 2023. STATE OF THE ART Major trends in 2023 were discussed; they encompassed concepts, definitions, biologics, care pathways, pulmonary rehabilitation and complex situations entailed by respiratory infections, cardiovascular comorbidities and pulmonary hypertension, and modalities of oxygen therapy and ventilation. PERSPECTIVES The different talks underlined major changes in COPD including the concepts of pre-COPD, etiotypes, health trajectories and new definitions of exacerbation. Recent results in biologics for COPD open the door to new pharmacological options. Assessment of current care pathways in France highlighted some causes for concern. For example, pulmonary rehabilitation is a key but insufficiently practiced element. Respiratory infections require careful assessment and treatments. Diagnosis and treatment of cardiovascular comorbidities and pulmonary hypertension are of paramount importance. As of late, oxygen therapy and ventilation modalities have evolved, and are beginning to afford more personalized options. CONCLUSIONS As regards COPD, a personalized approach is crucial, placing the patient at the center of the care pathway and facilitating coordination between healthcare providers.
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Affiliation(s)
- J Ancel
- Université de Reims Champagne-Ardenne, Inserm, P3Cell UMR-S1250, SFR CAP-SANTÉ, Reims, France; Service de pneumologie, hôpital Maison Blanche, CHU de Reims, Reims, France
| | - E Chen
- Service de pneumologie, Hôpital universitaire Avicenne, Bobigny, France
| | - A Pavot
- Centre de recherche cardio-thoracique de Bordeaux, université de Bordeaux, Inserm U1045, Bordeaux, France
| | - L Regard
- Service de pneumologie, institut Cochin, hôpital Cochin, Assistance publique-Hôpitaux de Paris-Centre, Inserm UMR1016, université Paris Cité, Paris, France
| | - O Le Rouzic
- Institut Pasteur de Lille, U1019 - UMR 9017 - Center for Infection and Immunity of Lille, CHU de Lille, CNRS, Inserm, University Lille, pneumologie et immuno-allergologie, 59000 Lille, France
| | - M Guecamburu
- Service des maladies respiratoires, CHU de Bordeaux, centre François-Magendie, hôpital Haut-Lévêque, avenue de Magellan, 33604 Pessac, France
| | - M Zysman
- Service de pneumologie, CHU de Haut-Lévèque, Bordeaux, France; Centre de recherche cardio-thoracique, University Bordeaux, Inserm U1045, CIC 1401, Pessac, France
| | - A Rapin
- Département de médecine physique et de réadaptation, centre hospitalo-universitaire de Reims, hôpital Sébastopol, CHU de Reims, 51092 Reims, France; Faculté de médecine, VieFra, EA3797, 51097, université de Reims Champagne-Ardenne, Reims, France
| | - C Martin
- Service de pneumologie, institut Cochin, hôpital Cochin, Assistance publique-Hôpitaux de Paris-Centre, Inserm UMR1016, université Paris Cité, Paris, France
| | - T Soumagne
- Service de pneumologie et Soins intensifs respiratoires, hôpital européen Georges-Pompidou, Assistance publique-hôpitaux de Paris, Paris, France
| | - M Patout
- Service des pathologies du sommeil (département R3S), groupe hospitalier universitaire AP-HP - Sorbonne université, site Pitié-Salpêtrière, 75013 Paris, France; UMRS1158 neurophysiologie respiratoire expérimentale et clinique, Sorbonne université, Inserm, 75005 Paris, France
| | - N Roche
- Service de pneumologie, institut Cochin, hôpital Cochin, Assistance publique-Hôpitaux de Paris-Centre, Inserm UMR1016, université Paris Cité, Paris, France
| | - G Deslee
- Université de Reims Champagne-Ardenne, Inserm, P3Cell UMR-S1250, SFR CAP-SANTÉ, Reims, France; Service de pneumologie, hôpital Maison Blanche, CHU de Reims, Reims, France.
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Tsaneva-Atanasova K, Scotton C. How to handle big data for disease stratification in respiratory medicine? Thorax 2023; 78:640-642. [PMID: 37225416 DOI: 10.1136/thorax-2023-220138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/30/2023] [Indexed: 05/26/2023]
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Wang R, Huang C, Yang W, Wang C, Wang P, Guo L, Cao J, Huang L, Song H, Zhang C, Zhang Y, Shi G. Respiratory microbiota and radiomics features in the stable COPD patients. Respir Res 2023; 24:131. [PMID: 37173744 PMCID: PMC10176953 DOI: 10.1186/s12931-023-02434-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 04/25/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUNDS The respiratory microbiota and radiomics correlate with the disease severity and prognosis of chronic obstructive pulmonary disease (COPD). We aim to characterize the respiratory microbiota and radiomics features of COPD patients and explore the relationship between them. METHODS Sputa from stable COPD patients were collected for bacterial 16 S rRNA gene sequencing and fungal Internal Transcribed Spacer (ITS) sequencing. Chest computed tomography (CT) and 3D-CT analysis were conducted for radiomics information, including the percentages of low attenuation area below - 950 Hounsfield Units (LAA%), wall thickness (WT), and intraluminal area (Ai). WT and Ai were adjusted by body surface area (BSA) to WT/[Formula: see text] and Ai/BSA, respectively. Some key pulmonary function indicators were collected, which included forced expiratory volume in one second (FEV1), forced vital capacity (FVC), diffusion lung carbon monoxide (DLco). Differences and correlations of microbiomics with radiomics and clinical indicators between different patient subgroups were assessed. RESULTS Two bacterial clusters dominated by Streptococcus and Rothia were identified. Chao and Shannon indices were higher in the Streptococcus cluster than that in the Rothia cluster. Principal Co-ordinates Analysis (PCoA) indicated significant differences between their community structures. Higher relative abundance of Actinobacteria was detected in the Rothia cluster. Some genera were more common in the Streptococcus cluster, mainly including Leptotrichia, Oribacterium, Peptostreptococcus. Peptostreptococcus was positively correlated with DLco per unit of alveolar volume as a percentage of predicted value (DLco/VA%pred). The patients with past-year exacerbations were more in the Streptococcus cluster. Fungal analysis revealed two clusters dominated by Aspergillus and Candida. Chao and Shannon indices of the Aspergillus cluster were higher than that in the Candida cluster. PCoA showed distinct community compositions between the two clusters. Greater abundance of Cladosporium and Penicillium was found in the Aspergillus cluster. The patients of the Candida cluster had upper FEV1 and FEV1/FVC levels. In radiomics, the patients of the Rothia cluster had higher LAA% and WT/[Formula: see text] than those of the Streptococcus cluster. Haemophilus, Neisseria and Cutaneotrichosporon positively correlated with Ai/BSA, but Cladosporium negatively correlated with Ai/BSA. CONCLUSIONS Among respiratory microbiota in stable COPD patients, Streptococcus dominance was associated with an increased risk of exacerbation, and Rothia dominance was relevant to worse emphysema and airway lesions. Peptostreptococcus, Haemophilus, Neisseria and Cutaneotrichosporon probably affected COPD progression and potentially could be disease prediction biomarkers.
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Affiliation(s)
- Rong Wang
- Department of Pulmonary and Critical Care Medicine, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming, 650032, People's Republic of China
- Medical School, Kunming University of Science and Technology, Kunming, 650500, People's Republic of China
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Chunrong Huang
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Wenjie Yang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China
| | - Cui Wang
- Department of Pulmonary and Critical Care Medicine, the Third People's Hospital of Kunshan, Suzhou, 215300, People's Republic of China
| | - Ping Wang
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Leixin Guo
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Jin Cao
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Lin Huang
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Hejie Song
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China
| | - Chenhong Zhang
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
| | - Yunhui Zhang
- Department of Pulmonary and Critical Care Medicine, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming, 650032, People's Republic of China.
| | - Guochao Shi
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, People's Republic of China.
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Zhu Y, Chang D. Interactions between the lung microbiome and host immunity in chronic obstructive pulmonary disease. Chronic Dis Transl Med 2023. [DOI: 10.1002/cdt3.66] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023] Open
Affiliation(s)
- Yixing Zhu
- Graduate School of The PLA General Hospital Beijing China
| | - De Chang
- Department of Respiratory and Critical Care Medicine, Eighth Medical Center, Department of Respiratory and Critical Care Seventh Medical Center Chinese PLA General Hospital Beijing China
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Tiew PY, Meldrum OW, Chotirmall SH. Applying Next-Generation Sequencing and Multi-Omics in Chronic Obstructive Pulmonary Disease. Int J Mol Sci 2023; 24:ijms24032955. [PMID: 36769278 PMCID: PMC9918109 DOI: 10.3390/ijms24032955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 01/31/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Microbiomics have significantly advanced over the last decade, driven by the widespread availability of next-generation sequencing (NGS) and multi-omic technologies. Integration of NGS and multi-omic datasets allow for a holistic assessment of endophenotypes across a range of chronic respiratory disease states, including chronic obstructive pulmonary disease (COPD). Valuable insight has been attained into the nature, function, and significance of microbial communities in disease onset, progression, prognosis, and response to treatment in COPD. Moving beyond single-biome assessment, there now exists a growing literature on functional assessment and host-microbe interaction and, in particular, their contribution to disease progression, severity, and outcome. Identifying specific microbes and/or metabolic signatures associated with COPD can open novel avenues for therapeutic intervention and prognosis-related biomarkers. Despite the promise and potential of these approaches, the large amount of data generated by such technologies can be challenging to analyze and interpret, and currently, there remains a lack of standardized methods to address this. This review outlines the current use and proposes future avenues for the application of NGS and multi-omic technologies in the endophenotyping, prognostication, and treatment of COPD.
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Affiliation(s)
- Pei Yee Tiew
- Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore 169608, Singapore
- Duke-NUS Graduate Medical School, Singapore 169857, Singapore
| | - Oliver W. Meldrum
- Lee Kong Chian School of Medicine, Nanyang Technological University, Clinical Sciences Building, 11 Mandalay Road, Singapore 308232, Singapore
| | - Sanjay H. Chotirmall
- Lee Kong Chian School of Medicine, Nanyang Technological University, Clinical Sciences Building, 11 Mandalay Road, Singapore 308232, Singapore
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore 308433, Singapore
- Correspondence:
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Pollock J, Chalmers JD. Aspergillus sensitisation: an underappreciated treatable trait in airway disease. Eur Respir J 2023; 61:61/1/2202042. [PMID: 36609522 DOI: 10.1183/13993003.02042-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 11/17/2022] [Indexed: 01/09/2023]
Affiliation(s)
- Jennifer Pollock
- Division of Molecular and Clinical Medicine, University of Dundee, Dundee, UK
| | - James D Chalmers
- Division of Molecular and Clinical Medicine, University of Dundee, Dundee, UK
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