Multidimensional endotyping in patients with severe asthma reveals inflammatory heterogeneity in matrix metalloproteinases and chitinase 3-like protein 1

被引:138
作者
Hinks, Timothy S. C. [1 ,2 ]
Brown, Tom [3 ]
Lau, Laurie C. K. [1 ,2 ]
Rupani, Hitasha [1 ,2 ]
Barber, Clair [2 ]
Elliott, Scott [3 ]
Ward, Jon A. [1 ,2 ]
Ono, Junya [4 ]
Ohta, Shoichiro [5 ]
Izuhara, Kenji [6 ]
Djukanovic, Ratko [1 ,2 ]
Kurukulaaratchy, Ramesh J. [7 ]
Chauhan, Anoop [3 ]
Howarth, Peter H. [1 ,2 ]
机构
[1] Univ Southampton, Sir Henry Wellcome Labs, Southampton Univ Hosp, Fac Med,Clin & Expt Sci, Southampton SO16 6YD, Hants, England
[2] Southampton Univ Hosp, NIHR Southampton Resp Biomed Res Unit, Southampton, Hants, England
[3] Portsmouth Hosp NHS Trust, Portsmouth, Hants, England
[4] Shino Test Corp, Sagamihara, Kanagawa, Japan
[5] Saga Med Sch, Dept Lab Med, Saga, Japan
[6] Saga Med Sch, Dept Biomol Sci, Saga, Japan
[7] Southampton Gen Hosp, Dept Resp Med, Southampton, Hants, England
基金
英国医学研究理事会; 英国惠康基金;
关键词
Asthma; cytokines; eosinophils; neutrophils; phenotype; endotype; heterogeneity; matrix metalloproteinase; chitinase 3-like protein 1; topological data analysis; OBSTRUCTIVE PULMONARY-DISEASE; CLUSTER-ANALYSIS; LUNG; IDENTIFICATION; EXPRESSION; QUESTIONNAIRE; CONTRIBUTES; COLLAGENASE; PHENOTYPES; INSIGHTS;
D O I
10.1016/j.jaci.2015.11.020
中图分类号
R392 [医学免疫学];
学科分类号
100102 ;
摘要
Background: Disease heterogeneity in patients with severe asthma and its relationship to inflammatory mechanisms remain poorly understood. Objective: We aimed to identify and replicate clinicopathologic endotypes based on analysis of blood and sputum parameters in asthmatic patients. Methods: One hundred ninety-four asthmatic patients and 21 control subjects recruited from 2 separate centers underwent detailed clinical assessment, sputum induction, and phlebotomy. One hundred three clinical, physiologic, and inflammatory parameters were analyzed by using topological data analysis and Bayesian network analysis. Results: Severe asthma was associated with anxiety and depression, obesity, sinonasal symptoms, decreased quality of life, and inflammatory changes, including increased sputum chitinase 3-like protein 1 (YKL-40) and matrix metalloproteinase (MMP) 1, 3, 8, and 12 levels. Topological data analysis identified 6 clinicopathobiologic clusters replicated in both geographic cohorts: young, mild paucigranulocytic; older, sinonasal disease; obese, high MMP levels; steroid resistant T(H)2 mediated, eosinophilic; mixed granulocytic with severe obstruction; and neutrophilic, low periostin levels, severe obstruction. Sputum IL-5 levels were increased in patients with severe particularly eosinophilic forms, whereas IL-13 was suppressed and IL-17 levels did not differ between clusters. Bayesian network analysis separated clinical features from intricately connected inflammatory pathways. YKL-40 levels strongly correlated with neutrophilic asthma and levels of myeloperoxidase, IL-8, IL-6, and IL-6 soluble receptor. MMP1, MMP3, MMP8, and MMP12 levels were associated with severe asthma and were correlated positively with sputum IL-5 levels but negatively with IL-13 levels. Conclusion: In 2 distinct cohorts we have identified and replicated 6 clinicopathobiologic clusters based on blood and induced sputum measures. Our data underline a disconnect between clinical features and underlying inflammation, suggest IL-5 production is relatively steroid insensitive, and highlight the expression of YKL-40 in patients with neutrophilic inflammation and the expression of MMPs in patients with severe asthma.
引用
收藏
页码:61 / 75
页数:15
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