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White blood cell count and chronic obstructive pulmonary disease: A Mendelian Randomization study

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机构: [1]Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing, 100084, China [2]State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Pathophysiology, Peking [3]First Clinical College, Xi’an Jiaotong University, Yanta West Road No.76, Xi’an, ShaanXi, 710061, China [4]Beijing Institute for Brain Disorders, Capital Medical University, Beijing, 100069, China [5]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China [6]National Engineering Laboratory of Internet Medical Diagnosis and Treatment Technology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China [7]Tsinghua University-Peking University Joint Center for Life Sciences, Beijing, 100084, China
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关键词: Chronic obstructive pulmonary disease Eosinophil Neutrophil Mendelian randomization

摘要:
Blood leukocyte counts (e.g., eosinophil count) are important biomarkers for the onset, classification, and exacerbation of chronic obstructive pulmonary disease (COPD). The causal relationships between them are necessary for the development of COPD treatment strategy, but remain unclear. Here, we implement two-sample bi-directional univariable Mendelian Randomization (MR) and multivariable MR to investigate the causal re-lationships. Univariable MR find that elevated blood eosinophil count significantly increases the risk of COPD (odds ratio (OR) = 1.22, 95% confidence interval (CI): 1.14-1.30, P = 1.54 x 10- 09) and COPD-related hos-pitalization (OR = 1.44, 95% CI: 1.15-1.80, P = 1.36 x 10-03). Besides, it also significantly decreases the ratio of forced expiratory volume in the first second over forced vital capacity (FEV1/FVC ratio) (OR = 0.942, 95% CI: 0.914-0.971, P = 1.02 x 10-04). These findings are fully supported by multivariate MR results. Interestingly, univariable MR reveals a weak causal relationship between elevated blood eosinophil count and COPD risk in younger people (<65 years) (OR = 1.39, 95% CI: 1.10-1.75, P = 5.52 x 10-03), but not older individuals (OR = 1.20, 95% CI: 0.926-1.55, P = 0.17). Finally, reverse univariable MR reveals the onset of COPD and the decreased FEV1/FVC ratio both lead to increased blood neutrophil count (OR = 1.03, 95% CI: 1.01-1.05, P = 3.40 x 10-03 and OR = 0.947, 95% CI: 0.91-0.986, P = 8.75 x 10-03 respectively). In summary, this MR study demonstrates that high blood eosinophil count is an independent causal mediator of COPD risk, FEV1/FVC decline, and COPD-related hospitalization. The increase in neutrophil count is induced by COPD onset or FEV1/ FVC decline. This suggests eosinophil, but not neutrophil, may be used as a therapeutic target for preventing the onset and exacerbation of COPD and FEV1/FVC decline. Therefore, a non-neutrophil-targeted therapeutic strategy for neutrophilic COPD is required in the future.

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基金编号: 82090011 2020RC310001 2019YFA0801804 2019YFA0801703 2018YFC1315103

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出版当年[2021]版:
大类 | 3 区 工程技术
小类 | 2 区 生物学 2 区 数学与计算生物学 3 区 计算机:跨学科应用 3 区 工程:生物医学
最新[2023]版:
大类 | 2 区 医学
小类 | 1 区 生物学 1 区 数学与计算生物学 2 区 计算机:跨学科应用 2 区 工程:生物医学
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出版当年[2020]版:
Q1 BIOLOGY Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Q2 ENGINEERING, BIOMEDICAL
最新[2023]版:
Q1 BIOLOGY Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Q1 ENGINEERING, BIOMEDICAL Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

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第一作者:
第一作者机构: [1]Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing, 100084, China [2]State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Pathophysiology, Peking
通讯作者:
通讯机构: [2]State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Pathophysiology, Peking [*1]Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5 Dongdansantiao, Dongcheng District, Beijing, 100730, China.
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