1. Distinct Phenotypes of Smokers with Fixed Airflow Limitation Identified by Cluster Analysis of Severe Asthma
- Author
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Satoshi Konno, Natsuko Taniguchi, Hironi Makita, Yuji Nakamaru, Kaoruko Shimizu, Noriharu Shijubo, Satoshi Fuke, Kimihiro Takeyabu, Mitsuru Oguri, Hirokazu Kimura, Yukiko Maeda, Masaru Suzuki, Katsura Nagai, Yoichi M. Ito, Sally E. Wenzel, Masaharu Nishimura, Akira Isada, Takeshi Hattori, Kenichi Shimizu, Takayuki Yoshida, Kentaro Nagaoka, Shinji Nakane, Yoshiyuki Saito, Tsukasa Sasaki, Hideko Honda, Miho Deai, Ayako Muramoto, Natsumi Kudo, Nozomi Sato, Masanobu Suzuki, Hiroshi Saito, Tetsuya Kojima, Shiho Ichimura, Takashi Choji, Motoko Kobayashi, Akihiko Ishikuro, Yoshihiro Ohtsuka, Fumihiro Honmura, Yasushi Akiyama, Toshiyuki Harada, Akira Kamimura, Norio Tashiro, Hiroshi Mikami, Mistuhide Ohmichi, Yoshitaka Sugawara, Toshiki Takahashi, Makoto Yamamoto, Kei Takamura, Yoshio Tokuchi, Yuji Inoue, Katsunori Shigehara, Hideaki Ukita, Kouki Kikuchi, Hiroyuki Koba, Kyuichirou Sekine, Tsuyoshi Nakano, Yoshihiro Ohata, Noritomo Ohnuma, Fumihiko Sato, Hiroyuki Taguchi, Hiroyuki Sugawara, Osamu Honjo, Seiya Togashi, Hirotaka Nishikiori, Junya Kitada, Masaru Fujii, Eiji Shibuya, Hiroshi Tanaka, Yoshihiro Okamoto, Hiromitu Hiroumi, and Kazuhiko Watanabe
- Subjects
Pulmonary and Respiratory Medicine ,Adult ,Male ,Pediatrics ,medicine.medical_specialty ,Vital capacity ,Clinical variables ,Severe asthma ,Asthma phenotypes ,Severity of Illness Index ,03 medical and health sciences ,Leukocyte Count ,Young Adult ,0302 clinical medicine ,Japan ,Medicine ,Cluster Analysis ,Humans ,030212 general & internal medicine ,Lung ,Aged ,Smokers ,business.industry ,Smoking ,Sputum ,Immunoglobulin E ,Middle Aged ,University hospital ,Phenotype ,Asthma ,respiratory tract diseases ,Respiratory Function Tests ,Eosinophils ,030228 respiratory system ,Female ,medicine.symptom ,business ,Hospital stay - Abstract
Smoking may have multifactorial effects on asthma phenotypes, particularly in severe asthma. Cluster analysis has been applied to explore novel phenotypes, which are not based on any a priori hypotheses.To explore novel severe asthma phenotypes by cluster analysis when including smoking patients with asthma.We recruited a total of 127 subjects with severe asthma, including 59 current or ex-smokers, from our university hospital and its 29 affiliated hospitals/pulmonary clinics. Clinical variables obtained during a 2-day hospital stay were used for cluster analysis. After clustering using clinical variables, the sputum levels of 14 molecules were measured to biologically characterize the clinical clusters.Five clinical clusters, including two characterized by low forced expiratory volume in 1 second/forced vital capacity, were identified. When characteristics of smoking subjects in these two clusters were compared, there were marked differences between the two groups: one had high levels of circulating eosinophils, high immunoglobulin E levels, and a high sinus score, and the other was characterized by low levels of the same parameters. Sputum analysis revealed intriguing differences of cytokine/chemokine pattern in these two groups. The other three clusters were similar to those previously reported: young onset/atopic, nonsmoker/less eosinophilic, and female/obese. Key clinical variables were confirmed to be stable and consistent 3 years later.This study reveals two distinct phenotypes with potentially different biological pathways contributing to fixed airflow limitation in cigarette smokers with severe asthma.
- Published
- 2017