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Pang Y, Guo Y, Li K, Ren M, Jia X, Li Z, Wang B, Yan L, Li Z. Potential effect of germanium exposure on the risk of influenza-like illness in housewives in Shanxi Province, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 682:208-212. [PMID: 31121347 DOI: 10.1016/j.scitotenv.2019.05.103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 04/16/2019] [Accepted: 05/08/2019] [Indexed: 06/09/2023]
Abstract
Few studies have examined the relationship between exposure to germanium (Ge) and the risk of influenza-like illness (ILI). Therefore, we investigated the association of Ge exposure and its interaction with single nucleotide polymorphisms (SNPs) related to Phase II metabolism on ILI risk among housewives in Shanxi Province, northern China. This cross-sectional study enrolled 373 housewives. Information on the housewives' characteristics and the frequency of ILI was collected by questionnaire. We analyzed the Ge concentrations in hair samples taken from near the scalp at the back of the head. Blood samples were used to identify SNPs related to Phase II metabolism. The results suggested that the hair Ge concentration was associated with ILI risk with an adjusted odds ratio and 95% confidence interval of 2.59 (1.61-4.19). A significant dose-response relationship was observed without or with adjusting for confounders. We did not observe any interaction effect between the hair Ge concentration and the SNPs on ILI risk. We found that high dietary consumption of meat and fried foods was positively correlated with the hair Ge concentration. Therefore, chronic Ge exposure may be a risk factor for an increased frequency of ILI in housewives.
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Affiliation(s)
- Yiming Pang
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Yunhe Guo
- School of Environment, Beijing Normal University, Beijing 100875, PR China
| | - Kexin Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Mengyuan Ren
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Xiaoqian Jia
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Zewu Li
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Bin Wang
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China.
| | - Lailai Yan
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing 100191, PR China.
| | - Zhiwen Li
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
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Kaya M, Volkan M. Germanium determination by flame atomic absorption spectrometry: An increased vapor pressure-chloride generation system. Talanta 2011; 84:122-6. [DOI: 10.1016/j.talanta.2010.12.029] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2010] [Revised: 12/13/2010] [Accepted: 12/19/2010] [Indexed: 11/24/2022]
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Sabbioni E, Fortaner S, Bosisio S, Farina M, Del Torchio R, Edel J, Fischbach M. Metabolic fate of ultratrace levels of GeCl4in the rat andin vitrostudies on its basal cytotoxicity and carcinogenic potential in Balb/3T3 and HaCaT cell lines. J Appl Toxicol 2010; 30:34-41. [DOI: 10.1002/jat.1469] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Dyke JV, Dasgupta PK, Kirk AB. Trace iodine quantitation in biological samples by mass spectrometric methods. Talanta 2009; 79:235-42. [DOI: 10.1016/j.talanta.2009.03.038] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2009] [Revised: 03/13/2009] [Accepted: 03/16/2009] [Indexed: 10/21/2022]
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