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Song JE, Bak SH, Lim MN, Lee EJ, Cha YK, Yoon HJ, Kim WJ. CT-Derived Deep Learning-Based Quantification of Body Composition Associated with Disease Severity in Chronic Obstructive Pulmonary Disease. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2023; 84:1123-1133. [PMID: 37869106 PMCID: PMC10585079 DOI: 10.3348/jksr.2022.0152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 02/24/2023] [Accepted: 05/16/2023] [Indexed: 10/24/2023]
Abstract
Purpose Our study aimed to evaluate the association between automated quantified body composition on CT and pulmonary function or quantitative lung features in patients with chronic obstructive pulmonary disease (COPD). Materials and Methods A total of 290 patients with COPD were enrolled in this study. The volume of muscle and subcutaneous fat, area of muscle and subcutaneous fat at T12, and bone attenuation at T12 were obtained from chest CT using a deep learning-based body segmentation algorithm. Parametric response mapping-derived emphysema (PRMemph), PRM-derived functional small airway disease (PRMfSAD), and airway wall thickness (AWT)-Pi10 were quantitatively assessed. The association between body composition and outcomes was evaluated using Pearson's correlation analysis. Results The volume and area of muscle and subcutaneous fat were negatively associated with PRMemph and PRMfSAD (p < 0.05). Bone density at T12 was negatively associated with PRMemph (r = -0.1828, p = 0.002). The volume and area of subcutaneous fat and bone density at T12 were positively correlated with AWT-Pi10 (r = 0.1287, p = 0.030; r = 0.1668, p = 0.005; r = 0.1279, p = 0.031). However, muscle volume was negatively correlated with the AWT-Pi10 (r = -0.1966, p = 0.001). Muscle volume was significantly associated with pulmonary function (p < 0.001). Conclusion Body composition, automatically assessed using chest CT, is associated with the phenotype and severity of COPD.
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Yamazaki A, Kinose D, Kawashima S, Tsunoda Y, Matsuo Y, Uchida Y, Nakagawa H, Yamaguchi M, Ogawa E, Nakano Y. Predictors of longitudinal changes in body weight, muscle and fat in patients with and ever-smokers at risk of COPD. Respirology 2023; 28:851-859. [PMID: 37364930 DOI: 10.1111/resp.14537] [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] [Received: 11/08/2022] [Accepted: 06/14/2023] [Indexed: 06/28/2023]
Abstract
BACKGROUND AND OBJECTIVE Weight and muscle loss are predictors of poor outcomes in chronic obstructive pulmonary disease. However, to our knowledge, no study has investigated the predictors of longitudinal weight loss or its composition from functional and morphological perspectives. METHODS This longitudinal observational study with a median follow-up period of 5 years (range: 3.0-5.8 years) included patients with COPD and ever-smokers at risk of COPD. Using chest computed tomography (CT) images, airway and emphysematous lesions were assessed as the square root of the wall area of a hypothetical airway with an internal perimeter of 10 mm (√Aaw at Pi10) and the percentage of low attenuation volume (LAV%). Muscle mass was estimated using cross-sectional areas (CSAs) of the pectoralis and erector spinae muscles, and fat mass was estimated using the subcutaneous fat thickness at the level of the 8th rib measured using chest CT images. Statistical analyses were performed using the linear mixed-effects models. RESULTS In total, 114 patients were enrolled. Their body mass index remained stable during the study period while body weight and muscle CSA decreased over time and the subcutaneous fat thickness increased. Reduced forced expiratory volume in 1 s and peak expiratory flow (PEF) at baseline predicted the future decline in muscle CSA. CONCLUSION Severe airflow limitation predicted future muscle wasting in patients with COPD and ever-smokers at risk of COPD. Airflow limitation with a PEF slightly below 90% of the predicted value may require intervention to prevent future muscle loss.
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Affiliation(s)
- Akio Yamazaki
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Daisuke Kinose
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Satoru Kawashima
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yoko Tsunoda
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yumiko Matsuo
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
- Health Administration Center, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yasuki Uchida
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Hiroaki Nakagawa
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Masafumi Yamaguchi
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Emiko Ogawa
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
- Health Administration Center, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yasutaka Nakano
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
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3
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Lan Y, Ma Q, Luo G, Yang H, Li Y, Zhang Q. Epicardial adipose tissue in patients with chronic obstructive pulmonary disease: systematic review with meta‑analysis and trial sequential analysis. BMC Pulm Med 2023; 23:241. [PMID: 37400821 DOI: 10.1186/s12890-023-02535-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 06/26/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND Limited data suggest that chronic obstructive pulmonary disease (COPD) patients have pathologic elevated epicardial adipose tissue (EAT), which is splanchnic fat tissue with anti-inflammatory properties and regulating free fatty acids functions. Therefore, there is a need for meta-analysis to explore the relationship between EAT and COPD. METHODS Online databases were systematically searched for studies about EAT in COPD patients published up to October 5th, 2022. The EAT data of the COPD patient group and the control group were included. Trial sequential analysis (TSA) and meta-analysis were applied to assess the difference in EAT between patients with and without COPD. TSA software and Stata 12.0 were used in all statistical analyses. RESULTS The final analysis included 5 studies (n = 596 patients). COPD patients had significantly more EAT than control subjects (SMD: 0.0.802; 95% CI: 0.231, 1.372; P = 0.006; TSA-adjusted 95% CI 1.20, 1.80; P < 0.0001). And higher CRP levels in COPD patients than non-COPD patients, whereas triglycerides and LDL were not significantly different between patients with and without COPD. CONCLUSION EAT is abnormally elevated in COPD patients, which may be related to systemic inflammatory responses in COPD. PROSPERO NUMBER CRD42021228273.
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Affiliation(s)
- Yi Lan
- Department of Pneumology, Songshan Hospital, Chongqing, China
| | - Qianli Ma
- Department of Pneumology, Songshan Hospital, Chongqing, China
| | - Guangming Luo
- Department of Pneumology, Songshan Hospital, Chongqing, China
| | - Heping Yang
- Department of Pneumology, Songshan Hospital, Chongqing, China
| | - Yingrui Li
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
| | - Qiao Zhang
- Department of Pneumology, Songshan Hospital, Chongqing, China.
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4
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Matsuo Y, Ogawa E, Tsunoda Y, Yamazaki A, Kawashima S, Uchida Y, Nakagawa H, Kinose D, Yamaguchi M, Nakano Y. Inspiratory and Expiratory Computed Tomography Imaging Clusters Reflect Functional Characteristics in Chronic Obstructive Pulmonary Disease. Int J Chron Obstruct Pulmon Dis 2023; 18:1047-1055. [PMID: 37304764 PMCID: PMC10257425 DOI: 10.2147/copd.s405845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/28/2023] [Indexed: 06/13/2023] Open
Abstract
Purpose Disease probability measure (DPM) is a useful voxel-wise imaging assessment of gas-trapping and emphysematous lesions in patients with chronic obstructive pulmonary disease (COPD). To elucidate the progression of COPD, we performed a cluster analysis using the following DPM parameters: normal (DPMNormal), gas-trapping (DPMGasTrap), and emphysematous lesions (DPMEmph). Our findings revealed the characteristics of each cluster and the 3-year disease progression using imaging parameters. Patients and Methods Inspiratory and expiratory chest computed tomography (CT) images of 131 patients with COPD were examined, of which 84 were followed up for 3 years. The percentage of low attenuation volume (LAV%) and the square root of the wall area of a hypothetical airway with an internal perimeter of 10 mm (√Aaw at Pi10) were quantitatively measured using inspiratory chest CT. A hierarchical cluster analysis was performed using the DPM parameters at baseline. Five clusters were named according to the dominant DPM parameters: normal (NL), normal-GasTrap (NL-GT), GasTrap (GT), GasTrap-Emphysema (GT-EM), and Emphysema (EM). Results Women were predominantly diagnosed with GT. Forced expiratory volume in 1 s gradually decreased in the following order: NL, NL-GT, GT, GT-EM, and EM. DPMEmph correlated well with LAV%. Four clusters other than NL showed significantly higher values of √Aaw at Pi10 than NL; however, no significant differences were observed among them. In all clusters, DPMEmph increased after 3 years. DPMNormal only increased in the GT cluster. Conclusion Clusters using DPM parameters may reflect the characteristics of COPD and help understand the pathophysiology of the disease.
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Affiliation(s)
- Yumiko Matsuo
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
- Health Administration Center, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Emiko Ogawa
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
- Health Administration Center, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yoko Tsunoda
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Akio Yamazaki
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Satoru Kawashima
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yasuki Uchida
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Hiroaki Nakagawa
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Daisuke Kinose
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Masafumi Yamaguchi
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yasutaka Nakano
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
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5
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Xu Y, Hrybouski S, Paterson DI, Li Z, Lan Y, Luo L, Shen X, Xu L. Comparison of epicardial adipose tissue volume quantification between ECG-gated cardiac and non-ECG-gated chest computed tomography scans. BMC Cardiovasc Disord 2022; 22:545. [PMID: 36513994 PMCID: PMC9746017 DOI: 10.1186/s12872-022-02958-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 10/04/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND This study investigated accuracy and consistency of epicardial adipose tissue (EAT) quantification in non-ECG-gated chest computed tomography (CT) scans. METHODS EAT volume was semi-automatically quantified using a standard Hounsfield unit threshold (- 190, - 30) in three independent cohorts: (1) Cohort 1 (N = 49): paired 120 kVp ECG-gated cardiac non-contrast CT (NCCT) and 120 kVp non-ECG-gated chest NCCT; (2) Cohort 2 (N = 34): paired 120 kVp cardiac NCCT and 100 kVp non-ECG-gated chest NCCT; (3) Cohort 3 (N = 32): paired non-ECG-gated chest NCCT and chest contrast-enhanced CT (CECT) datasets (including arterial phase and venous phase). Images were reconstructed with the slice thicknesses of 1.25 mm and 5 mm in the chest CT datasets, and 3 mm in the cardiac NCCT datasets. RESULTS In Cohort 1, the chest NCCT-1.25 mm EAT volume was similar to the cardiac NCCT EAT volume, while chest NCCT-5 mm underestimated the EAT volume by 7.5%. In Cohort 2, 100 kVp chest NCCT-1.25 mm were 13.2% larger than 120 kVp cardiac NCCT EAT volumes. In Cohort 3, the chest arterial CECT and venous CECT dataset underestimated EAT volumes by ~ 28% and ~ 18%, relative to chest NCCT datasets. All chest CT-derived EAT volumes were similarly associated with significant coronary atherosclerosis with cardiac CT counterparts. CONCLUSION The 120 kVp non-ECG-gated chest NCCT-1.25 mm images produced EAT volumes comparable to cardiac NCCT. Chest CT EAT volumes derived from consistent imaging settings are excellent alternatives to the cardiac NCCT to investigate their association with coronary artery disease.
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Affiliation(s)
- Yuancheng Xu
- Department of Urology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Stanislau Hrybouski
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
| | - D. Ian Paterson
- Department of Cardiology, Mackenzie Health Science Centre, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Zhiyang Li
- Department of General Surgery, the Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Yulong Lan
- Department of Cardiology, the Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Lin Luo
- Department of Radiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Xinping Shen
- Department of Radiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Lingyu Xu
- Department of Cardiology, Mackenzie Health Science Centre, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
- University of Alberta, 2C2, Mackenzie Health Science Centre, 8440 - 112 St, Edmonton, Alberta, T6G 2B7, Canada
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6
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Royce SG, Licciardi PV, Beh RC, Bourke JE, Donovan C, Hung A, Khurana I, Liang JJ, Maxwell S, Mazarakis N, Pitsillou E, Siow YY, Snibson KJ, Tobin MJ, Ververis K, Vongsvivut J, Ziemann M, Samuel CS, Tang MLK, El-Osta A, Karagiannis TC. Sulforaphane prevents and reverses allergic airways disease in mice via anti-inflammatory, antioxidant, and epigenetic mechanisms. Cell Mol Life Sci 2022; 79:579. [DOI: 10.1007/s00018-022-04609-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 10/13/2022] [Accepted: 10/21/2022] [Indexed: 11/30/2022]
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7
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Nicholson JM, Orsso CE, Nourouzpour S, Elangeswaran B, Chohan K, Orchanian-Cheff A, Fidler L, Mathur S, Rozenberg D. Computed tomography-based body composition measures in COPD and their association with clinical outcomes: A systematic review. Chron Respir Dis 2022; 19:14799731221133387. [PMID: 36223552 PMCID: PMC9561670 DOI: 10.1177/14799731221133387] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background Computed tomography (CT) is commonly utilized in chronic obstructive
pulmonary disease (COPD) for lung cancer screening and emphysema
characterization. Computed tomography-morphometric analysis of body
composition (muscle mass and adiposity) has gained increased recognition as
a marker of disease severity and prognosis. This systematic review aimed to
describe the CT-methodology used to assess body composition and identify the
association of body composition measures and disease severity,
health-related quality of life (HRQL), cardiometabolic risk factors,
respiratory exacerbations, and survival in patients with COPD. Methods Six databases were searched (inception-September 2021) for studies evaluating
adult COPD patients using thoracic or abdominal CT-muscle or adiposity body
composition measures. The systematic review was conducted in accordance with
the PRISMA guidelines. Results Twenty eight articles were included with 15,431 COPD patients, across all
GOLD stages with 77% males, age range (mean/median 59–78 years), and BMI
range 19.8–29.3 kg/m2. There was heterogeneity in assessment of
muscle mass and adiposity using thoracic (n = 22) and
abdominal (n = 8) CT-scans, capturing different muscle
groups, anatomic locations, and adiposity compartments (visceral,
subcutaneous, and epicardial). Low muscle mass and increased adiposity were
associated with increased COPD severity measures (lung function, exercise
capacity, dyspnea) and lower HRQL, but were not consistent across studies.
Increased visceral adiposity (n = 6) was associated with
cardiovascular disease or risk factors (hypertension, hyperlipidemia, and
diabetes). Low muscle CSA was prognostic of respiratory exacerbations or
mortality in three of six studies, whereas the relationship with increased
intermuscular adiposity and greater mortality was only observed in one of
three studies. Conclusion There was significant variability in CT-body composition measures. In several
studies, low muscle mass was associated with increased disease severity and
lower HRQL, whereas adiposity with cardiovascular disease/risk factors.
Given the heterogeneity in body composition measures and clinical outcomes,
the prognostic utility of CT-body composition in COPD requires further
study.
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Affiliation(s)
- John M Nicholson
- Department of Medicine,
Respirology, London
Health Science Center, London, ON,
Canada
| | - Camila E Orsso
- Department of Agricultural, Food
and Nutritional Science, University of
Alberta, Edmonton, AB, Canada
| | - Sahar Nourouzpour
- Temerty Faculty of Medicine,
Respirology, Lung Transplant Program, Toronto General Hospital Research
Institute, University
Health Network, Toronto, ON,
Canada
| | - Brenawen Elangeswaran
- Temerty Faculty of Medicine,
Respirology, Lung Transplant Program, Toronto General Hospital Research
Institute, University
Health Network, Toronto, ON,
Canada
| | - Karan Chohan
- Temerty Faculty of Medicine,
Respirology, Lung Transplant Program, Toronto General Hospital Research
Institute, University
Health Network, Toronto, ON,
Canada
| | - Ani Orchanian-Cheff
- Library and Information Services,
University
Health Network, Toronto, ON,
Canada
| | - Lee Fidler
- Department of Medicine,
Respirology, University
Health Network, Toronto, Canada,Respirology,
Sunnybrook
Health Sciences Centre, Toronto, ON,
Canada
| | - Sunita Mathur
- Deparment of Physical Therapy,
University
of Toronto, Toronto, ON, Canada,School of Rehabilitation Therapy,
Queen’s
University, Kingston, ON, Canada
| | - Dmitry Rozenberg
- Temerty Faculty of Medicine,
Respirology, Lung Transplant Program, Toronto General Hospital Research
Institute, University
Health Network, Toronto, ON,
Canada,Dmitry Rozenberg, Temerty Faculty of
Medicine, Respirology, Lung Transplant Program, Toronto General Hospital
Research Institute, University Health Network, 200 Elizabeth Street, 13-EN 229,
Toronto ON M5G 2C4, Canada.
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8
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Suzuki Y, Kitaguchi Y, Ueno F, Droma Y, Goto N, Kinjo T, Wada Y, Yasuo M, Hanaoka M. Associations Between Morphological Phenotypes of COPD and Clinical Characteristics in Surgically Resected Patients with COPD and Concomitant Lung Cancer. Int J Chron Obstruct Pulmon Dis 2022; 17:1443-1452. [PMID: 35761955 PMCID: PMC9233490 DOI: 10.2147/copd.s366265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 05/22/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose The associations between morphological phenotypes of COPD based on the chest computed tomography (CT) findings and clinical characteristics in surgically resected patients with COPD and concomitant lung cancer are unclear. The purpose of this study was to clarify the differences in clinical characteristics and prognosis among morphological phenotypes based on the chest CT findings in these patients. Patients and Methods We retrospectively reviewed the medical records of 132 patients with COPD and concomitant lung cancer who had undergone pulmonary resection for primary lung cancer. According to the presence of emphysema and bronchial wall thickness on chest CT, patients were classified into three phenotypes: non-emphysema phenotype, emphysema phenotype, or mixed phenotype. Results The mixed phenotype was associated with poorer performance status, higher score on the modified British Medical Research Council (mMRC) dyspnea scale, higher residual volume in pulmonary function, and higher proportion of squamous cell carcinoma than the other phenotypes. Univariate and multivariate Cox proportional hazards regression analyses showed that the extent of emphysema on chest CT, presented as a low attenuation area (LAA) score, was an independent determinant that predicted prognosis. In the Kaplan-Meier analysis, the Log rank test showed significant differences in survival between the non-emphysema and mixed phenotypes, and between the emphysema and mixed phenotypes. Conclusion The cross-sectional pre-operative LAA score can predict the prognosis in surgically resected patients with COPD and concomitant lung cancer. The COPD phenotype with both emphysema and bronchial wall thickness on chest CT was associated with poorer performance status, greater extent of dyspnea, greater impairment of pulmonary function, and worse prognosis.
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Affiliation(s)
- Yusuke Suzuki
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Yoshiaki Kitaguchi
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Fumika Ueno
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Yunden Droma
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Norihiko Goto
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Takumi Kinjo
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Yosuke Wada
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Masanori Yasuo
- Departments of Clinical Laboratory Sciences, Shinshu University School of Health Sciences, Matsumoto, Nagano, Japan
| | - Masayuki Hanaoka
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
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9
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Marcucci M, Fogante M, Tagliati C, Papiri G. Cut-off point of CT-assessed epicardial adipose tissue volume for predicting worse clinical burden of SARS-CoV-2 pneumonia. Emerg Radiol 2022; 29:645-653. [PMID: 35606630 PMCID: PMC9126108 DOI: 10.1007/s10140-022-02059-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 05/10/2022] [Indexed: 11/21/2022]
Abstract
Objective To identify a cut-off value of epicardial adipose tissue (EAT) volume quantified by CT associated with a worse clinical outcome in patients with SARS-CoV-2 pneumonia. Materials and methods In this retrospective study, sixty patients with a diagnosis of laboratory-confirmed COVID-19 pneumonia and a chest CT exam on admission were enrolled. Based on a total severity score (range 0–20), patients were divided into two groups: ordinary group (total severity score < 7) and severe/critical group (total severity score > 7). Clinical results and EAT volume were compared between the two groups. Results The severe/critical patients, compared to the ordinary ones, were older (66.83 ± 11.72 vs 58.57 ± 16.86 years; p = 0.031), had higher body mass index (27.77 ± 2.11 vs 25.07 ± 2.80 kg/m2; p < 0.001) and higher prevalence of comorbidities. EAT volume was higher in severe/critical group, compared with the ordinary group (151.40 ± 66.22 cm3 vs 92.35 ± 44.46 cm3, p < 0.001). In severe/critical group, 19 (73%) patients were admitted in intensive care unit (ICU), compared with 6 (20%) patients in the ordinary group (p < 0.001). The area under the ROC curve (AUC) is equal to 0.781 (p < 0.001) (95% CI: 0.662–0.900). The cut-off found, in correspondence with the highest value of the Youden Index, is 97 cm3: the sensitivity is equal to 83.3%, while the specificity is equal to 70% for predicting a worse outcome. The risk (odds ratio) of belonging to the severe/critical group in this population due to EAT ≥ 97 cm3 is 11.667 (95% CI: 3.384–40.220; p < 0.001). Conclusion An EAT volume of 97 cm3 has good sensitivity and specificity to predict a greater extent of pulmonary involvement and therefore a worse clinical outcome in patients with SARS-CoV-2 pneumonia.
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Affiliation(s)
- Matteo Marcucci
- U.O.C. Radiodiagnostica, Ospedale Generale Provinciale Di Macerata, Via Santa Lucia, 2, 62100, Macerata, Italy.
| | - Marco Fogante
- Radiology Department, Azienda Ospedaliero Universitaria "Ospedali Riuniti", Via Conca, 71, 60126, Ancona, Italy
| | - Corrado Tagliati
- U.O.S.D. Radiologia Ospedale "San Liberatore" Atri - Dipartimento Dei Servizi - ASL Teramo, Viale del Risorgimento, 1158, 64032, Atri, Teramo, Italy
| | - Giulio Papiri
- Neurology Unit, Ospedale Provinciale "Madonna del Soccorso", Via Luciano Manara, 8, 63074, San Benedetto del Tronto, Ascoli Piceno, Italy
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10
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Dudurych I, Muiser S, McVeigh N, Kerstjens HAM, van den Berge M, de Bruijne M, Vliegenthart R. Bronchial wall parameters on CT in healthy never-smoking, smoking, COPD, and asthma populations: a systematic review and meta-analysis. Eur Radiol 2022; 32:5308-5318. [PMID: 35192013 PMCID: PMC9279249 DOI: 10.1007/s00330-022-08600-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 12/14/2021] [Accepted: 01/29/2022] [Indexed: 11/25/2022]
Abstract
Objective Research on computed tomography (CT) bronchial parameter measurements shows that there are conflicting results on the values for bronchial parameters in the never-smoking, smoking, asthma, and chronic obstructive pulmonary disease (COPD) populations. This review assesses the current CT methods for obtaining bronchial wall parameters and their comparison between populations. Methods A systematic review of MEDLINE and Embase was conducted following PRISMA guidelines (last search date 25th October 2021). Methodology data was collected and summarised. Values of percentage wall area (WA%), wall thickness (WT), summary airway measure (Pi10), and luminal area (Ai) were pooled and compared between populations. Results A total of 169 articles were included for methodologic review; 66 of these were included for meta-analysis. Most measurements were obtained from multiplanar reconstructions of segmented airways (93 of 169 articles), using various tools and algorithms; third generation airways in the upper and lower lobes were most frequently studied. COPD (12,746) and smoking (15,092) populations were largest across studies and mostly consisted of men (median 64.4%, IQR 61.5 – 66.1%). There were significant differences between populations; the largest WA% was found in COPD (mean SD 62.93 ± 7.41%, n = 6,045), and the asthma population had the largest Pi10 (4.03 ± 0.27 mm, n = 442). Ai normalised to body surface area (Ai/BSA) (12.46 ± 4 mm2, n = 134) was largest in the never-smoking population. Conclusions Studies on CT-derived bronchial parameter measurements are heterogenous in methodology and population, resulting in challenges to compare outcomes between studies. Significant differences between populations exist for several parameters, most notably in the wall area percentage; however, there is a large overlap in their ranges. Key Points • Diverse methodology in measuring airways contributes to overlap in ranges of bronchial parameters among the never-smoking, smoking, COPD, and asthma populations. • The combined number of never-smoking participants in studies is low, limiting insight into this population and the impact of participant characteristics on bronchial parameters. • Wall area percent of the right upper lobe apical segment is the most studied (87 articles) and differentiates all except smoking vs asthma populations. Supplementary Information The online version contains supplementary material available at 10.1007/s00330-022-08600-1.
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Affiliation(s)
- Ivan Dudurych
- Department of Radiology, EB49, University Medical Centre Groningen, University of Groningen, Hanzeplein 1, 9700RB, Groningen, The Netherlands
| | - Susan Muiser
- Department of Pulmonology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Niall McVeigh
- Department of Cardiothoracic Surgery, St. Vincent's University Hospital, Dublin, Ireland
| | - Huib A M Kerstjens
- Department of Pulmonology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Maarten van den Berge
- Department of Pulmonology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Marleen de Bruijne
- Department of Radiology and Nuclear Medicine, Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Rozemarijn Vliegenthart
- Department of Radiology, EB49, University Medical Centre Groningen, University of Groningen, Hanzeplein 1, 9700RB, Groningen, The Netherlands.
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11
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Tolonen A, Pakarinen T, Sassi A, Kyttä J, Cancino W, Rinta-Kiikka I, Pertuz S, Arponen O. Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review. Eur J Radiol 2021; 145:109943. [PMID: 34839215 DOI: 10.1016/j.ejrad.2021.109943] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 08/06/2021] [Accepted: 08/24/2021] [Indexed: 02/06/2023]
Abstract
PURPOSE OF THE REVIEW We aim to review the methods, current research evidence, and future directions in body composition analysis (BCA) with CT imaging. RECENT FINDINGS CT images can be used to evaluate muscle tissue, visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) compartments. Manual and semiautomatic segmentation methods are still the gold standards. The segmentation of skeletal muscle tissue and VAT and SAT compartments is most often performed at the level of the 3rd lumbar vertebra. A decreased amount of CT-determined skeletal muscle mass is a marker of impaired survival in many patient populations, including patients with most types of cancer, some surgical patients, and those admitted to the intensive care unit (ICU). Patients with increased VAT are more susceptible to impaired survival / worse outcomes; however, those patients who are critically ill or admitted to the ICU or who will undergo surgery appear to be exceptions. The independent significance of SAT is less well established. Recently, the roles of the CT-determined decrease of muscle mass and increased VAT area and epicardial adipose tissue (EAT) volume have been shown to predict a more debilitating course of illness in patients suffering from severe acute respiratory syndrome coronavirus 2 (COVID-19) infection. SUMMARY The field of CT-based body composition analysis is rapidly evolving and shows great potential for clinical implementation.
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Affiliation(s)
- Antti Tolonen
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland.
| | - Tomppa Pakarinen
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Radiology, Tampere University Hospital, Elämänaukio, Kuntokatu 2, 33520 Tampere, Finland
| | - Antti Sassi
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Radiology, Tampere University Hospital, Elämänaukio, Kuntokatu 2, 33520 Tampere, Finland
| | - Jere Kyttä
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland
| | - William Cancino
- Connectivity and Signal Processing Group, Universidad Industrial de Santander, Cl. 9 #Cra 27, Bucaramanga, Colombia
| | - Irina Rinta-Kiikka
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Radiology, Tampere University Hospital, Elämänaukio, Kuntokatu 2, 33520 Tampere, Finland
| | - Said Pertuz
- Connectivity and Signal Processing Group, Universidad Industrial de Santander, Cl. 9 #Cra 27, Bucaramanga, Colombia
| | - Otso Arponen
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Radiology, Tampere University Hospital, Elämänaukio, Kuntokatu 2, 33520 Tampere, Finland
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12
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Automated Diseased Lung Volume Percentage Calculation in Quantitative CT Evaluation of Chronic Obstructive Pulmonary Disease and Idiopathic Pulmonary Fibrosis. J Comput Assist Tomogr 2021; 45:649-658. [PMID: 34176875 DOI: 10.1097/rct.0000000000001182] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Several software-based quantitative computed tomography (CT) analysis methods have been developed for assessing emphysema and interstitial lung disease. Although the texture classification method appeared to be more successful than the other methods, the software programs are not commercially available, to our knowledge. Therefore, this study aimed to investigate the usefulness of a commercially available software program for quantitative CT analyses. METHODS This prospective cohort study included 80 patients with chronic obstructive pulmonary disease (COPD) or idiopathic pulmonary fibrosis (IPF). RESULTS The percentage of low attenuation volume and high attenuation volume had high sensitivity and high specificity for detecting emphysema and pulmonary fibrosis, respectively. The percentage of diseased lung volume (DLV%) was significantly correlated with the lung diffusion capacity for carbon monoxide in all patients with COPD and IPF patients. CONCLUSIONS The quantitative CT analysis may improve the precision of the assessment of DLV%, which itself could be a useful tool in predicting lung diffusion capacity in patients with the clinical diagnosis of COPD or IPF.
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13
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Kalaycıoğlu E, Çetin M, Çinier G, Özyıldız AG, Durmuş İ, Kırış T, Gökdeniz T. Epicardial adipose tissue is associated with increased systolic pulmonary artery pressure in patients with chronic obstructive pulmonary disease. CLINICAL RESPIRATORY JOURNAL 2020; 15:406-412. [PMID: 33269556 DOI: 10.1111/crj.13316] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 03/08/2020] [Accepted: 11/28/2020] [Indexed: 01/25/2023]
Abstract
OBJECTIVES Pulmonary hypertension (PHT) is one of the essential predictors of mortality in chronic obstructive pulmonary disease (COPD). It is thought that PHT is due to vasoconstriction secondary to hypoxia caused by airway obstruction in COPD patients; however, loss of capillary bed with emphysema, inflammation, and endothelial dysfunction may also play a role in the development of PHT. Epicardial adipose tissue (EAT) has a role as a metabolically active endocrine organ and secretes various proinflammatory cytokines. We hypothesized that EAT thickness in COPD patients might be associated with the systolic pulmonary arterial pressure (PAPs) level, and we aimed to test it. METHODS The present study included 129 consecutive patients with the diagnosis of COPD. All patients underwent transthoracic echocardiographic evaluation. The relationship between PAPs and EAT thickness was evaluated. RESULTS Positive correlations with PAPs were reported with age, EAT, white blood cell (WBC) and GOLD grade score (range 0.197-0.275, P values 0.026 to 0.002), negative correlations with body-mass index (BMI), hyperlipidemia, FEV1 (% predicted) and pO2 (range -0.216 to -0.340, P values .014 to <.001). In stepwise linear regression analysis, BMI (P = .003), EAT (P = .002), WBC (P = .001), and FEV1 (% predicted) (P = .010), were independently associated with PAPs. CONCLUSION EAT thickness in COPD patients with preserved left ventricular systolic function is associated with increased PAPs, and this association is independent of the parameters indicating the severity of COPD.
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Affiliation(s)
- Ezgi Kalaycıoğlu
- Department of Cardiology, University of Health Sciences Turkey, Ahi Evren Chest and Cardiovascular Surgery Education and Research Hospital Turkey, Trabzon, Turkey
| | - Mustafa Çetin
- Department of Cardiology, Recep Tayyip Erdoğan University Faculty of Medicine Training and Research Hospital, Rize, Turkey
| | - Göksel Çinier
- Department of Cardiology, Kaçkar State Hospital, Rize, Turkey
| | - Ali Gökhan Özyıldız
- Department of Cardiology, Recep Tayyip Erdoğan University Faculty of Medicine Training and Research Hospital, Rize, Turkey
| | - İsmet Durmuş
- Department of Cardiology, University of Health Sciences Turkey, Ahi Evren Chest and Cardiovascular Surgery Education and Research Hospital Turkey, Trabzon, Turkey
| | - Tuncay Kırış
- Department of Cardiology, İzmir Katip Çelebi University Atatürk Training and Research Hospital, İzmir, Turkey
| | - Tayyar Gökdeniz
- Department of Cardiology, Hitit University Faculty of Medicine, Erol Olcok Education and Research Hospital, Çorum, Turkey
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14
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Metabolic Syndrome and Abnormal Peri-Organ or Intra-Organ Fat (APIFat) Deposition in Chronic Obstructive Pulmonary Disease: An Overview. Metabolites 2020; 10:metabo10110465. [PMID: 33203192 PMCID: PMC7696438 DOI: 10.3390/metabo10110465] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 11/04/2020] [Accepted: 11/13/2020] [Indexed: 12/11/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a common disorder with an increasing prevalence, characterised by persistent respiratory symptoms and airflow limitation. Systemic inflammation is involved in the pathogenesis of COPD and can also predispose to metabolic disorders (e.g., metabolic syndrome (MetS) and non-alcoholic fatty liver disease (NAFLD)). Such comorbidities can negatively affect COPD outcomes, cardiovascular risk, and quality of life. Apart from NAFLD, abnormal peri-organ or intra-organ fat (APIFat) could be considered as markers for cardiometabolic diseases and even for COPD. The present narrative review considers the associations of COPD with MetS, NAFLD, and other APIFat, including epicardial, perirenal, peripancreatic, and intramuscular adipose tissue. Further research is needed to define these relationships and identify any potential clinical implications.
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15
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Matsuo Y, Ogawa E, Seto-Yukimura R, Ryujin Y, Kinose D, Yamaguchi M, Osawa M, Nagao T, Kurosawa H, Nakano Y. Novel Respiratory Impedance-Based Phenotypes Reflect Different Pathophysiologies in Chronic Obstructive Pulmonary Disease Patients. Int J Chron Obstruct Pulmon Dis 2020; 14:2971-2977. [PMID: 31908445 PMCID: PMC6929937 DOI: 10.2147/copd.s224902] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 11/11/2019] [Indexed: 11/23/2022] Open
Abstract
Purpose The forced oscillation technique (FOT) is a non-invasive method to measure respiratory impedance, the respiratory resistance (Rrs) and reactance (Xrs). The disease probability measure (DPM) is a useful computed tomography (CT) imaging variable for the assessment of gas trapping and emphysema in patients with chronic obstructive pulmonary disease (COPD) using pairs of inspiratory and expiratory CT images. We aimed to develop FOT-based phenotypes and determine whether the phenotypes and their imaging characteristics could facilitate the understanding of COPD pathophysiology. Patients and methods FOT and spirometry were examined in 164 COPD patients and 22 non-COPD smokers. COPD patients were divided into four FOT-based phenotypes (NL, normal group; RD, resistance-dominant group; XD, reactance-dominant group; and MIX, mixed group) based on the 3rd quartile values of R5 (Rrs at 5Hz) and X5 (Xrs at 5Hz) in the non-COPD group. The emphysematous lesions and the airway lesions were quantitatively assessed in CT images by low attenuation volume and the square root of the wall area of a hypothetical airway with an internal perimeter of 10 mm (√Aaw at Pi10), respectively. DPM imaging analysis was also performed in 131 COPD patients. We investigated the differences in COPD parameters between the FOT-based phenotypes. Results √Aaw at Pi10 were significantly higher in the RD, XD, and MIX groups than in the NL group. The XD group showed lower pulmonary function and higher dyspnea scores than the RD group. No significant changes in DPM values were observed between the RD and the NL groups. The gas-trapping area was significantly higher in the XD group than in the NL group. The MIX group showed the highest dyspnea score, most emphysematous lesions, and the lowest forced expiratory volume in 1 s % predicted value. Conclusion The FOT-based phenotyping may be useful to assess pathophysiological changes of COPD with CT assessments.
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Affiliation(s)
- Yumiko Matsuo
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Emiko Ogawa
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Shiga, Japan.,Health Administration Center, Shiga University of Medical Science, Shiga, Japan
| | - Ruriko Seto-Yukimura
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Yasushi Ryujin
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Shiga, Japan.,Ryujin Medical Clinic, Osaka, Japan
| | - Daisuke Kinose
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Masafumi Yamaguchi
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Makoto Osawa
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Taishi Nagao
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Hajime Kurosawa
- Center for Environmental Conservation and Research Safety, Department of Occupation Health, Tohoku University, Miyagi, Japan
| | - Yasutaka Nakano
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Shiga, Japan
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16
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Elliot JG, Donovan GM, Wang KCW, Green FHY, James AL, Noble PB. Fatty airways: implications for obstructive disease. Eur Respir J 2019; 54:13993003.00857-2019. [PMID: 31624112 DOI: 10.1183/13993003.00857-2019] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 09/05/2019] [Indexed: 11/05/2022]
Abstract
Epidemiological studies report that overweight or obese asthmatic subjects have more severe disease than those of a healthy weight. We postulated that accumulation of adipose tissue within the airway wall may occur in overweight patients and contribute to airway pathology. Our aim was to determine the relationship between adipose tissue within the airway wall and body mass index (BMI) in individuals with and without asthma.Transverse airway sections were sampled in a stratified manner from post mortem lungs of control subjects (n=15) and cases of nonfatal (n=21) and fatal (n=16) asthma. The relationship between airway adipose tissue, remodelling and inflammation was assessed. The areas of the airway wall and adipose tissue were estimated by point count and expressed as area per mm of basement membrane perimeter (Pbm). The number of eosinophils and neutrophils were expressed as area densities.BMI ranged from 15 to 45 kg·m-2 and was greater in nonfatal asthma cases (p<0.05). Adipose tissue was identified in the outer wall of large airways (Pbm >6 mm), but was rarely seen in small airways (Pbm <6 mm). Adipose tissue area correlated positively with eosinophils and neutrophils in fatal asthma (Pbm >12 mm, p<0.01), and with neutrophils in control subjects (Pbm >6 mm, p=0.04).These data show that adipose tissue is present within the airway wall and is related to BMI, wall thickness and the number of inflammatory cells. Therefore, the accumulation of airway adipose tissue in overweight individuals may contribute to airway pathophysiology.
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Affiliation(s)
- John G Elliot
- West Australian Sleep Disorders Research Institute, Dept of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, Australia .,School of Human Sciences, The University of Western Australia, Crawley, Australia
| | - Graham M Donovan
- Dept of Mathematics, University of Auckland, Auckland, New Zealand
| | - Kimberley C W Wang
- School of Human Sciences, The University of Western Australia, Crawley, Australia.,Telethon Kids Institute, University of Western Australia, Nedlands, Australia
| | - Francis H Y Green
- Dept of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada
| | - Alan L James
- West Australian Sleep Disorders Research Institute, Dept of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, Australia.,School of Medicine and Pharmacology, The University of Western Australia, Nedlands, Australia
| | - Peter B Noble
- School of Human Sciences, The University of Western Australia, Crawley, Australia
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17
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Sakornsakolpat P, Prokopenko D, Lamontagne M, Reeve NF, Guyatt AL, Jackson VE, Shrine N, Qiao D, Bartz TM, Kim DK, Lee MK, Latourelle JC, Li X, Morrow JD, Obeidat M, Wyss AB, Bakke P, Barr RG, Beaty TH, Belinsky SA, Brusselle GG, Crapo JD, de Jong K, DeMeo DL, Fingerlin TE, Gharib SA, Gulsvik A, Hall IP, Hokanson JE, Kim WJ, Lomas DA, London SJ, Meyers DA, O'Connor GT, Rennard SI, Schwartz DA, Sliwinski P, Sparrow D, Strachan DP, Tal-Singer R, Tesfaigzi Y, Vestbo J, Vonk JM, Yim JJ, Zhou X, Bossé Y, Manichaikul A, Lahousse L, Silverman EK, Boezen HM, Wain LV, Tobin MD, Hobbs BD, Cho MH. Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations. Nat Genet 2019; 51:494-505. [PMID: 30804561 PMCID: PMC6546635 DOI: 10.1038/s41588-018-0342-2] [Citation(s) in RCA: 205] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 12/20/2018] [Indexed: 11/09/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is the leading cause of respiratory mortality worldwide. Genetic risk loci provide new insights into disease pathogenesis. We performed a genome-wide association study in 35,735 cases and 222,076 controls from the UK Biobank and additional studies from the International COPD Genetics Consortium. We identified 82 loci associated with P < 5 × 10-8; 47 of these were previously described in association with either COPD or population-based measures of lung function. Of the remaining 35 new loci, 13 were associated with lung function in 79,055 individuals from the SpiroMeta consortium. Using gene expression and regulation data, we identified functional enrichment of COPD risk loci in lung tissue, smooth muscle, and several lung cell types. We found 14 COPD loci shared with either asthma or pulmonary fibrosis. COPD genetic risk loci clustered into groups based on associations with quantitative imaging features and comorbidities. Our analyses provide further support for the genetic susceptibility and heterogeneity of COPD.
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Affiliation(s)
- Phuwanat Sakornsakolpat
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Dmitry Prokopenko
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Genetics and Aging Research Unit, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Maxime Lamontagne
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Québec, Quebec, Canada
| | - Nicola F Reeve
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Anna L Guyatt
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Victoria E Jackson
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Nick Shrine
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Deog Kyeom Kim
- Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, Seoul, South Korea
| | - Mi Kyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Raleigh, NC, USA
| | - Jeanne C Latourelle
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Xingnan Li
- Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Jarrett D Morrow
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ma'en Obeidat
- University of British Columbia Center for Heart Lung Innovation, St. Paul's Hospital, Vancouver, British Columbia, Canada
| | - Annah B Wyss
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Raleigh, NC, USA
| | - Per Bakke
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - R Graham Barr
- Department of Medicine, College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Guy G Brusselle
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Respiratory Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - James D Crapo
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, National Jewish Health, Denver, CO, USA
| | - Kim de Jong
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
- University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the Netherlands
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Tasha E Fingerlin
- Center for Genes, Environment and Health, National Jewish Health, Denver, CO, USA
- Department of Biostatistics and Informatics, University of Colorado Denver, Aurora, CO, USA
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Amund Gulsvik
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Ian P Hall
- Division of Respiratory Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, UK
- National Institute for Health Research Nottingham Biomedical Research Centre, Nottingham, UK
| | - John E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University, Chuncheon, South Korea
| | - David A Lomas
- UCL Respiratory, University College London, London, UK
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Raleigh, NC, USA
| | | | - George T O'Connor
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Stephen I Rennard
- Pulmonary, Critical Care, Sleep and Allergy Division, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA
- Clinical Discovery Unit, AstraZeneca, Cambridge, UK
| | - David A Schwartz
- Department of Medicine, School of Medicine, University of Colorado Denver, Aurora, CO, USA
- Department of Immunology, School of Medicine, University of Colorado Denver, Aurora, CO, USA
| | - Pawel Sliwinski
- 2nd Department of Respiratory Medicine, Institute of Tuberculosis and Lung Diseases, Warsaw, Poland
| | - David Sparrow
- VA Boston Healthcare System and Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - David P Strachan
- Population Health Research Institute, St. George's University of London, London, UK
| | | | | | - Jørgen Vestbo
- School of Biological Sciences, University of Manchester, Manchester, UK
| | - Judith M Vonk
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
- University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the Netherlands
| | - Jae-Joon Yim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Xiaobo Zhou
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Yohan Bossé
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Québec, Quebec, Canada
- Department of Molecular Medicine, Laval University, Québec, Québec, Canada
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Lies Lahousse
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Bioanalysis, Ghent University, Ghent, Belgium
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - H Marike Boezen
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
- University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the Netherlands
| | - Louise V Wain
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.
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Wada Y, Kitaguchi Y, Yasuo M, Ueno F, Kawakami S, Fukushima K, Fujimoto K, Hanaoka M. Diversity of respiratory impedance based on quantitative computed tomography in patients with COPD. Int J Chron Obstruct Pulmon Dis 2018; 13:1841-1849. [PMID: 29892193 PMCID: PMC5993027 DOI: 10.2147/copd.s163129] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Introduction This study was conducted in order to investigate the diversity of respiratory physiology, including the respiratory impedance and reversibility of airway obstruction, based on quantitative computed tomography (CT) in patients with COPD. Patients and methods Medical records of 174 stable COPD patients were retrospectively reviewed to obtain the patients’ clinical data, including the pulmonary function and imaging data. According to the software-based quantification of the degree of emphysema and airway wall thickness, the patients were classified into the “normal by CT” phenotype, the airway-dominant phenotype, the emphysema-dominant phenotype, and the mixed phenotype. The pulmonary function, including the respiratory impedance evaluated by using the forced oscillation technique (FOT) and the reversibility of airway obstruction in response to inhaled short-acting β2-agonists, was then compared among the four phenotypes. Results The respiratory system resistance at 5 and 20 Hz (R5 and R20) was significantly higher, and the respiratory system reactance at 5 Hz (X5) was significantly more negative in the airway-dominant and mixed phenotypes than in the other phenotypes. The within-breath changes of X5 (ΔX5) were significantly greater in the mixed phenotype than in the “normal by CT” and emphysema-dominant phenotypes. The FOT parameters (R5, R20, and X5) were significantly correlated with indices of the degree of airway wall thickness and significantly but weakly correlated with the reversibility of airway obstruction. There was no significant correlation between the FOT parameters (R5, R20, and X5) and the degree of emphysema. Conclusion There is a diversity of respiratory physiology, including the respiratory impedance and reversibility of airway obstruction, based on quantitative CT in patients with COPD. The FOT measurements may reflect the degree of airway disease and aid in detecting airway remodeling in patients with COPD.
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Affiliation(s)
- Yosuke Wada
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Yoshiaki Kitaguchi
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Masanori Yasuo
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Fumika Ueno
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Satoshi Kawakami
- Department of Radiology, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Kiyoyasu Fukushima
- Department of Respiratory Medicine, Japanese Red Cross Nagasaki Genbaku Isahaya Hospital, Isahaya, Nagasaki, Japan
| | - Keisaku Fujimoto
- Departments of Clinical Laboratory Sciences, Shinshu University School of Health Sciences, Matsumoto, Nagano, Japan
| | - Masayuki Hanaoka
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
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Tsuji T, Yamaguchi K, Kikuchi R, Nakamura H, Misaka R, Nagai A, Aoshiba K. Improvement of metabolic disorders by an EP 2 receptor agonist via restoration of the subcutaneous adipose tissue in pulmonary emphysema. Prostaglandins Other Lipid Mediat 2017; 130:16-22. [PMID: 28263859 DOI: 10.1016/j.prostaglandins.2017.03.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Revised: 02/16/2017] [Accepted: 03/01/2017] [Indexed: 02/07/2023]
Abstract
Chronic obstructive pulmonary disease (COPD) is often associated with co-morbidities. Metabolic disorders like hyperlipidemia and diabetes occur also in underweight COPD patients, although the mechanism is uncertain. Subcutaneous adipose tissue (SAT) plays an important role in energy homeostasis, since restricted capacity to increase fat cell number with increase in fat cell size occurring instead, is associated with lipotoxicity and metabolic disorders. The aim of this study is to show the protective role of SAT for the metabolic disorders in pulmonary emphysema of a murine model. We found ectopic fat accumulation and impaired glucose homeostasis with wasting of SAT in a murine model of elastase-induced pulmonary emphysema (EIE mice) reared on a high-fat diet. ONO-AE1-259, a selective E-prostanoid (EP) 2 receptor agonist, improved angiogenesis and subsequently adipogenesis, and finally improved ectopic fat accumulation and glucose homeostasis with restoration of the capacity for storage of surplus energy in SAT. These results suggest that metabolic disorders like hyperlipidemia and diabetes occured in underweight COPD is partially due to the less capacity for storage of surplus energy in SAT, though the precise mechanism is uncertained. Our data pave the way for the development of therapeutic interventions for metabolic disorders in emphysema patients, e.g., use of pro-angiogenic agents targeting the capacity for storage of surplus energy in the subcutaneous adipose tissue.
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Affiliation(s)
- Takao Tsuji
- Institute of Geriatrics, Tokyo Women's Medical University, 2-15-1 Shibuya, Shibuya, Tokyo 150-0002, Japan; Department of Respiratory Medicine, Tokyo Medical University Ibaraki Medical Center, 3-20-1 Chuou, Ami, Inashiki, Ibaraki 300-0395, Japan.
| | - Kazuhiro Yamaguchi
- Division of Comprehensive Sleep Medicine, Tokyo Women's Medical University, 8-1,Kawada-cho, Sinjuku, Tokyo 162-8666, Japan.
| | - Ryota Kikuchi
- Department of Respiratory Medicine, Tokyo Medical University Ibaraki Medical Center, 3-20-1 Chuou, Ami, Inashiki, Ibaraki 300-0395, Japan.
| | - Hiroyuki Nakamura
- Department of Respiratory Medicine, Tokyo Medical University Ibaraki Medical Center, 3-20-1 Chuou, Ami, Inashiki, Ibaraki 300-0395, Japan.
| | - Ryoichi Misaka
- Institute of Geriatrics, Tokyo Women's Medical University, 2-15-1 Shibuya, Shibuya, Tokyo 150-0002, Japan.
| | - Atsushi Nagai
- Reserch Institute for Respiratory Diseases, Shin-yurigaoka GeneralHospital, 255 Asou, Kawasaki, Kanagawa 215-0026, Japan.
| | - Kazutetsu Aoshiba
- Department of Respiratory Medicine, Tokyo Medical University Ibaraki Medical Center, 3-20-1 Chuou, Ami, Inashiki, Ibaraki 300-0395, Japan.
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