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Associations and Interactions between Heavy Metals with White Blood Cell and Eosinophil Count

The accumulation of heavy metals in the body has been associated with an elevated immune response. The aim of this study was to investigate the associations among heavy metals and white blood cell (WBC) and eosinophil count in the general population in southern Taiwan. We also explored the interacti...

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Autores principales: Huang, Chao-Hsin, Hsieh, Chieh-Yu, Wang, Chih-Wen, Tu, Hung-Pin, Chen, Szu-Chia, Hung, Chih-Hsing, Kuo, Chao-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795800/
https://www.ncbi.nlm.nih.gov/pubmed/35165518
http://dx.doi.org/10.7150/ijms.68945
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author Huang, Chao-Hsin
Hsieh, Chieh-Yu
Wang, Chih-Wen
Tu, Hung-Pin
Chen, Szu-Chia
Hung, Chih-Hsing
Kuo, Chao-Hung
author_facet Huang, Chao-Hsin
Hsieh, Chieh-Yu
Wang, Chih-Wen
Tu, Hung-Pin
Chen, Szu-Chia
Hung, Chih-Hsing
Kuo, Chao-Hung
author_sort Huang, Chao-Hsin
collection PubMed
description The accumulation of heavy metals in the body has been associated with an elevated immune response. The aim of this study was to investigate the associations among heavy metals and white blood cell (WBC) and eosinophil count in the general population in southern Taiwan. We also explored the interactions and synergetic effects of heavy metals on WBC and eosinophil count. We conducted a health survey in the general population living in southern Taiwan between June 2016 and September 2018. Seven heavy metals were measured: blood lead (Pb), and urine cadmium (Cd), copper (Cu), nickel, arsenic (As), chromium and manganese (Mn). A total of 2,447 participants were enrolled. In multivariable analysis, high concentrations of Pb (log per 1 mg/L; coefficient β, 0.332; p = 0.005) and Cu (log per 1 μg/dL; coefficient β, 0.476; p < 0.001) were significantly associated with a high WBC count. In addition, high concentrations of Pb (log per 1 mg/L; coefficient β, 0.732; p < 0.001), As (log per 1 μg/L; coefficient β, 0.133; p = 0.015), Cu (log per 1 μg/dL; coefficient β, 0.181; p = 0.018), and Cd (log per 1 μg/L; coefficient β, 0.139; p = 0.002) were significantly associated with a high eosinophil count. Further, the effect of interactions between Pb and As (coefficient β, 0.721; p = 0.029) and Mn and Cu (coefficient β, 0.482; p = 0.018) on WBC count, and As and Cu (unstandardized coefficient β, 0.558; p = 0.002) on eosinophil count were statistically significant. In conclusion, the heavy metals Pb, As, Cu, and Cd were associated with WBC and eosinophil count. In addition, synergistic effects of heavy metal poisoning on the association with WBC and eosinophil count were also observed.
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spelling pubmed-87958002022-02-13 Associations and Interactions between Heavy Metals with White Blood Cell and Eosinophil Count Huang, Chao-Hsin Hsieh, Chieh-Yu Wang, Chih-Wen Tu, Hung-Pin Chen, Szu-Chia Hung, Chih-Hsing Kuo, Chao-Hung Int J Med Sci Research Paper The accumulation of heavy metals in the body has been associated with an elevated immune response. The aim of this study was to investigate the associations among heavy metals and white blood cell (WBC) and eosinophil count in the general population in southern Taiwan. We also explored the interactions and synergetic effects of heavy metals on WBC and eosinophil count. We conducted a health survey in the general population living in southern Taiwan between June 2016 and September 2018. Seven heavy metals were measured: blood lead (Pb), and urine cadmium (Cd), copper (Cu), nickel, arsenic (As), chromium and manganese (Mn). A total of 2,447 participants were enrolled. In multivariable analysis, high concentrations of Pb (log per 1 mg/L; coefficient β, 0.332; p = 0.005) and Cu (log per 1 μg/dL; coefficient β, 0.476; p < 0.001) were significantly associated with a high WBC count. In addition, high concentrations of Pb (log per 1 mg/L; coefficient β, 0.732; p < 0.001), As (log per 1 μg/L; coefficient β, 0.133; p = 0.015), Cu (log per 1 μg/dL; coefficient β, 0.181; p = 0.018), and Cd (log per 1 μg/L; coefficient β, 0.139; p = 0.002) were significantly associated with a high eosinophil count. Further, the effect of interactions between Pb and As (coefficient β, 0.721; p = 0.029) and Mn and Cu (coefficient β, 0.482; p = 0.018) on WBC count, and As and Cu (unstandardized coefficient β, 0.558; p = 0.002) on eosinophil count were statistically significant. In conclusion, the heavy metals Pb, As, Cu, and Cd were associated with WBC and eosinophil count. In addition, synergistic effects of heavy metal poisoning on the association with WBC and eosinophil count were also observed. Ivyspring International Publisher 2022-01-09 /pmc/articles/PMC8795800/ /pubmed/35165518 http://dx.doi.org/10.7150/ijms.68945 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Huang, Chao-Hsin
Hsieh, Chieh-Yu
Wang, Chih-Wen
Tu, Hung-Pin
Chen, Szu-Chia
Hung, Chih-Hsing
Kuo, Chao-Hung
Associations and Interactions between Heavy Metals with White Blood Cell and Eosinophil Count
title Associations and Interactions between Heavy Metals with White Blood Cell and Eosinophil Count
title_full Associations and Interactions between Heavy Metals with White Blood Cell and Eosinophil Count
title_fullStr Associations and Interactions between Heavy Metals with White Blood Cell and Eosinophil Count
title_full_unstemmed Associations and Interactions between Heavy Metals with White Blood Cell and Eosinophil Count
title_short Associations and Interactions between Heavy Metals with White Blood Cell and Eosinophil Count
title_sort associations and interactions between heavy metals with white blood cell and eosinophil count
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795800/
https://www.ncbi.nlm.nih.gov/pubmed/35165518
http://dx.doi.org/10.7150/ijms.68945
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