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International Journal of Chronic Obstructive Pulmonary Disease Volume 14, 2019 - Issue
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Original Research

Eicosanoids metabolized through LOX distinguish asthma–COPD overlap from COPD by metabolomics study

Chuanxu Cai1 Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China;2 Department of Laboratory Medicine, Shenzhen People's Hospital, Shenzhen, People's Republic of China
,
Xiqing Bian3 State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Taipa, Macao, People’s Republic of China
,
Mingshan Xue1 Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
,
Xiaoqing Liu1 Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
,
Haisheng Hu1 Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
,
Jingxian Wang4 Center for Tissue Engineering and Stem Cell Research, Guizhou Medical University, Guiyang, Guizhou, People’s Republic of China
,
Song Guo Zheng5 Department of Internal Medicine, Ohio State University College of Medicine and Wexner Medical Center, Columbus, OH, USA
,
Baoqing Sun1 Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of ChinaCorrespondence[email protected]
&
Jian-Lin Wu3 State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Taipa, Macao, People’s Republic of ChinaCorrespondence[email protected]
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Pages 1769-1778 | Published online: 06 Aug 2019

Figures & data

Table 1 Characteristics of the subjects

Figure 1 (A) Scores plots of OPLS-DA model separating COPD and asthma–COPD overlap (ACO) (R2Y =0.81, Q2=0.79); (B) Scores plots of OPLS-DA model separating healthy control and ACO (R2Y =0.84, Q2=0.81); (C) 3D-Plot of OPLS-DA model separating healthy control, COPD and ACO.

Note: White, healthy control group; pink, COPD group; red, ACO group.
Figure 1 (A) Scores plots of OPLS-DA model separating COPD and asthma–COPD overlap (ACO) (R2Y =0.81, Q2=0.79); (B) Scores plots of OPLS-DA model separating healthy control and ACO (R2Y =0.84, Q2=0.81); (C) 3D-Plot of OPLS-DA model separating healthy control, COPD and ACO.

Figure 2 Heatmap analysis of eicosanoids levels in serum of healthy control, COPD, and asthma–COPD overlap (ACO).

Figure 2 Heatmap analysis of eicosanoids levels in serum of healthy control, COPD, and asthma–COPD overlap (ACO).

Figure 3 Spring-embedded correlation plot illustrating the relationship between eicosanoids and clinical parameters.

Notes: The size of the node is proportional to the weight of the relationship with metabolite (the larger the circle, the more correlation the metabolite). Node color directly maps onto the VIP score of metabolites between COPD and asthma–COPD overlap (ACO) (see bottom left of the figure). The length of the line between the nodes (spring length) is proportional to the correlation strength (the shorter the length, the stronger the correlation with neighboring metabolites). The thickness of the line is proportional to the significance of correlation (more thicker the line, the more significant the metabolites).
Figure 3 Spring-embedded correlation plot illustrating the relationship between eicosanoids and clinical parameters.

Figure 4 Proposed metabolic pathway of the relevant eicosanoids. White column: healthy control (HC) group; pink column: COPD group; red column:  asthma–COPD overlap (ACO) group. #, significantly compared with healthy control; $, significantly compared with COPD.

Figure 4 Proposed metabolic pathway of the relevant eicosanoids. White column: healthy control (HC) group; pink column: COPD group; red column:  asthma–COPD overlap (ACO) group. #, significantly compared with healthy control; $, significantly compared with COPD.

Table 2 Identification and selection of metabolites between ACO and COPD

Figure 5 Receiver operating characteristic (ROC) curves of relevant eicosanoids.

Figure 5 Receiver operating characteristic (ROC) curves of relevant eicosanoids.

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