Correlation between eosinophil count, its genetic background and body mass index: The Nagahama Study
Correlation between eosinophil count, its genetic background and body mass index: The Nagahama Study
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DOI：
10.1016/j.alit.2019.05.012
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发表时间：
2020-01-01
影响因子：
6.8
通讯作者：
Hirai, Toyohiro
中科院分区：
文献类型：
--
作者：
Sunadome, Hironobu;Matsumoto, Hisako;Hirai, Toyohiro
背景：肥胖影响包括哮喘在内的多种慢性疾病的发病机制。关于肥胖/BMI与哮喘嗜酸性粒细胞炎症之间相关性的研究产生了相互矛盾的结果，这可能部分归因于缺乏相关性的流行病学数据。我们的目的是阐明血液嗜酸性粒细胞计数，其遗传背景，BMI在一般population.Methods：这在日本以社区为基础的长滨研究纳入9789居民之间的相关性。我们在基线和5年随访研究中进行了自我报告问卷调查、肺功能检查和血液检查。在4650名受试者中进行了一项全基因组关联研究（GWAS），在基线和随访时对其中4206名进行了研究，以确定血液嗜酸性粒细胞计数升高的单核苷酸多态性。我们评估了BMI和嗜酸性粒细胞计数之间的相关性，使用多方面的方法，包括聚类analysis.Results：嗜酸性粒细胞计数与BMI呈正相关，观察后交换的解释变量，除了最高的四分位数的嗜酸性粒细胞（>= 200/μ L），其中BMI与嗜酸性粒细胞计数呈负相关的主题。GWAS和人类白细胞抗原（HLA）插补鉴定了rs 4713354变体（染色体6p 21上的MDC 1）导致嗜酸性粒细胞计数升高，与BMI和IgE无关。Rs 4713354积累在一个集群的特点是嗜酸性粒细胞计数升高（平均值，498 +/- 178/μ L），但正常的BMI。结论：流行病学，可能有一个积极的关联之间的血液嗜酸性粒细胞计数和BMI一般，但有一个负相关的人口中的嗜酸性粒细胞计数高。BMI以外的因素，特别是遗传背景，可能导致这些人群中嗜酸性粒细胞计数升高。Copyright（C）2019，日本变态反应学会由爱思唯尔公司制作和主持
Background: Obesity affects the pathogenesis of various chronic diseases, including asthma. Research on correlations between obesity/BMI and eosinophilic inflammation in asthma has yielded contradictory results, which could be partly ascribed to the absence of epidemiological data on the correlations. We aimed to elucidate the correlations between blood eosinophil count, its genetic backgrounds, and BMI in the general population.Methods: This community-based Nagahama study in Japan enrolled 9789 inhabitants. We conducted self-reporting questionnaires, lung function tests, and blood tests in the baseline and 5-year follow-up studies. A genome-wide association study (GWAS) was performed in 4650 subjects at the baseline and in 4206 of these at the follow-up to determine single-nucleotide polymorphisms for elevated blood eosinophil counts. We assessed the correlations between BMI and eosinophil counts using a multifaceted approach, including the cluster analysis.Results: Eosinophil counts positively correlated with BMI, observed upon the interchange of an explanatory variable, except for subjects with the highest quartile of eosinophils (>= 200/mu L), in whom BMI negatively correlated with eosinophil counts. GWAS and human leukocyte antigen (HLA) imputation identified rs4713354 variant (MDC1 on chromosome 6p21) for elevated eosinophil counts, independent of BMI and IgE. Rs4713354 was accumulated in a cluster characterized by elevated eosinophil counts (mean, 498 +/- 178/mu L) but normal BMI.Conclusions: Epidemiologically, there may be a positive association between blood eosinophil counts and BMI in general, but there was a negative correlation in the population with high eosinophil counts. Factors other than BMI, particularly genetic backgrounds, may contribute to elevated eosinophil counts in such populations. Copyright (C) 2019, Japanese Society of Allergology. Production and hosting by Elsevier B.V.