GSTM1 and GSTP1 gene variants and the effect of air pollutants on lung function measures in South African children
dc.contributor.author | Claudio, Luz | en_US |
dc.contributor.author | Robins, Thomas | en_US |
dc.date.accessioned | 2012-12-11T17:37:21Z | |
dc.date.available | 2014-02-03T16:21:44Z | en_US |
dc.date.issued | 2012-12 | en_US |
dc.identifier.citation | Claudio, Luz; Robins, Thomas (2012). " GSTM1 and GSTP1 gene variants and the effect of air pollutants on lung function measures in South African children ." American Journal of Industrial Medicine 55(12): 1078-1086. <http://hdl.handle.net/2027.42/94468> | en_US |
dc.identifier.issn | 0271-3586 | en_US |
dc.identifier.issn | 1097-0274 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/94468 | |
dc.description.abstract | Background Several genes are associated with an increased susceptibility to asthma, which may be exacerbated by ambient air pollution. These genes include GSTM1 (glutathione‐ S ‐transferase M1 gene) and GSTP1 (glutathione‐ S ‐transferase P1 gene), which may modulate the response to epithelial oxidative changes caused by air pollutant exposure. This study evaluated fluctuations in the forced expiratory volume in one second (FEV 1 ) in relation to lagged daily averages of ambient air pollutants (SO 2 , NO 2 , NO, and PM 10 ) while considering genotype as an effect modifier. Methods A longitudinal cohort of 129 schoolchildren of African descent from Durban, South Africa was assessed. GSTM1 (null vs. present genotype) and GSTP1 (Ile105Val; AA → AG/GG) genotypes were determined using standard techniques. SO 2 , NO 2 , NO, and PM 10 were measured continuously over a year using validated methods. The outcome was intraday variability in FEV 1 . Data were collected daily over a 3‐week period in each of four seasons (2004–2005). Results Among the children tested, 27% had the GSTM1 null genotype and 81% carried the GSTP1 G allele. Approximately 26 out 104 children (25%) showed evidence of bronchial hyperreactivity, 13% reported having symptoms in keeping with persistent asthma, and a further 25% reported symptoms of mild intermittent asthma. PM 10 and SO 2 levels were moderately high relative to international guidelines. Neither GSTM1 nor GSTP1 genotypes alone were significantly associated with FEV 1 intraday variability. In models not including genotype, FEV 1 variability was statistically significantly associated only with NO 2 for 5‐day lags (% change in intraday variability in FEV1 per interquartile range = 1.59, CI 0.58, 2.61). The GSTP1 genotype modified the effect of 3 days prior 24‐hr average PM 10 and increased FEV 1 variability. A similar pattern was observed for lagged 3 day SO 2 exposure ( P interaction < 0.05). Adverse effects of these pollutants were limited to individuals carrying the G allele for this polymorphism. Conclusion Among this indigenous South African children cohort, the GSTP1 genotype modified the effects of ambient exposures to PM 10 and SO 2 and lung function. A plausible mechanism for these observed effects is decreased capacity to mount an effective response to oxidative stress associated with the GSTP1 AG + GG genotype. Am. J. Ind. Med. 55:1078–1086, 2012. © 2012 Wiley Periodicals, Inc. | en_US |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Gene–Environment Interaction | en_US |
dc.subject.other | Air Pollutants | en_US |
dc.subject.other | Asthma | en_US |
dc.subject.other | Child Respiratory Health | en_US |
dc.title | GSTM1 and GSTP1 gene variants and the effect of air pollutants on lung function measures in South African children | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationother | Department of Occupational and Environmental Health, University of KwaZulu‐Natal, Durban, South Africa | en_US |
dc.contributor.affiliationother | Department of Community Health Studies, Durban University of Technology, Durban, South Africa | en_US |
dc.contributor.affiliationother | Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina | en_US |
dc.contributor.affiliationother | Department of Community Health Studies, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/94468/1/22012_ftp.pdf | |
dc.identifier.doi | 10.1002/ajim.22012 | en_US |
dc.identifier.source | American Journal of Industrial Medicine | en_US |
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dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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