Correlation between eosinophil count, its genetic background and body mass index: The Nagahama Study.

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  • Additional Information
    • Source:
      Publisher: Elsevier Country of Publication: England NLM ID: 9616296 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1440-1592 (Electronic) Linking ISSN: 13238930 NLM ISO Abbreviation: Allergol Int Subsets: MEDLINE
    • Publication Information:
      Publication: 2015- : London : Elsevier
      Original Publication: Carlton, Vic., Australia : Blackwell Science, c1996-
    • Subject Terms:
      Asthma/*epidemiology ; Eosinophilia/*epidemiology ; Obesity/*epidemiology; Adult ; Aged ; Body Mass Index ; Eosinophilia/genetics ; Eosinophils ; Female ; Genetic Background ; Genome-Wide Association Study ; Humans ; Japan ; Leukocyte Count ; Male ; Middle Aged ; Polymorphism, Single Nucleotide
    • Abstract:
      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/μL), 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/μL) 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 © 2019 Japanese Society of Allergology. Production and hosting by Elsevier B.V. All rights reserved.)
    • Contributed Indexing:
      Keywords: BMI; Cluster analysis; Eosinophil; Epidemiological study; Genome-wide association study
    • Publication Date:
      Date Created: 20190706 Date Completed: 20200601 Latest Revision: 20200601
    • Publication Date:
      20221213
    • Accession Number:
      10.1016/j.alit.2019.05.012
    • Accession Number:
      31272903