Identification of COPD phenotype and speific biomarker using cluster analysis

• Project/Area Number: 25860662
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Respiratory organ internal medicine
• Research Institution: Nippon Medical School
• Principal Investigator: Hayashi Hiroki 日本医科大学, 医学部, 助教 (70516096)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Project Status: Completed (Fiscal Year 2015)
• Budget Amount: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000); Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
• Keywords: 慢性閉塞性肺疾患 / クラスター解析 / サブグループ / 併存症 / バイオマーカー

Outline of Final Research Achievements

In this study, we hypothesized that COPD was divided into several subgroups and the outcome such as exacerbation was significantly poor in a specific subgroup. To prove this hypothesis, we performed cluster analysis by complications data such as chronic heart failure, diabetes, chronic renal failure, and so on. We identified five comorbidity clusters in a data set of COPD patients using the Viscovery software. We confirmed the difference of the respiratory function and exacerbation frequency between subgroups. We measured CCL2, CCL3, CCL4, CL5, Eotaxin, IL-8, IP-10, homocysteine and periostin and tried to detection of specific biomarkers. However, a significant cluster-specific biomarker could not be identified.