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Design issues in cross-sectional biomarkers studies: urinary biomarkers of PAH exposure and oxidative stress
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, D. | - |
dc.contributor.author | Lee, K. H. | - |
dc.contributor.author | Lee, K. M. | - |
dc.contributor.author | Kwon, H. J. | - |
dc.contributor.author | Hong, Y. C. | - |
dc.contributor.author | Cho, S. H. | - |
dc.contributor.author | Strickland, P. T. | - |
dc.date.accessioned | 2010-01-28T01:37:03Z | - |
dc.date.available | 2010-01-28T01:37:03Z | - |
dc.date.issued | 2005-08-17 | - |
dc.identifier.citation | Mutat Res. 2005 Dec 30;592(1-2):138-46. Epub 2005 Aug 15. | en |
dc.identifier.issn | 0027-5107 (Print) | - |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16102785 | - |
dc.identifier.uri | https://hdl.handle.net/10371/45979 | - |
dc.description.abstract | Cross-sectional biomarker studies can provide a snapshot of the frequency and characteristics of exposure/disease in a population at a particular point in time and, as a result, valuable insights for delineating the multi-step association between exposure and disease occurrence. Three major issues should be considered when designing biomarker studies: selection of appropriate biomarkers, the assay (laboratory validity), and the population validity of the selected biomarkers. Factors related to biomarker selection include biological relevance, specificity, sensitivity, biological half-life, stability, and so on. The assay attributes include limit of detection, reproducibility/reliability, inter-laboratory variation, specificity, time, and cost. Factors related to the population validity include the frequency or prevalence of markers, greater inter-individual variation than intra-individual variation, intra-class correlation coefficients (ICC), association with potential confounders, invasiveness of specimen collection, and subject selection. Three studies are selected to demonstrate different features of cross-sectional biomarker studies: (1) characterizing the determinants of the biomarkers (study I: urinary PAH metabolites and environmental particulate exposure), (2) relationship of multiple biomarkers of exposure and effect (study II: relationship between urinary PAH metabolites and oxidative stress), and (3) evaluating gene-environmental interaction (study III: effect of genetic polymorphisms of GSTM1 on the association of green tea consumption and urinary 1-OHPG levels in shipbuilding workers). | en |
dc.language.iso | en | en |
dc.subject | Anticarcinogenic Agents | en |
dc.subject | Biological Markers/*urine | en |
dc.subject | Cross-Sectional Studies | en |
dc.subject | Genetic Predisposition to Disease | en |
dc.subject | Humans | en |
dc.subject | Polycyclic Hydrocarbons, Aromatic/adverse effects/*toxicity | en |
dc.subject | Reproducibility of Results | en |
dc.subject | Research Design | en |
dc.subject | Tea | en |
dc.subject | DNA Damage | - |
dc.subject | Oxidative Stress | - |
dc.title | Design issues in cross-sectional biomarkers studies: urinary biomarkers of PAH exposure and oxidative stress | en |
dc.type | Article | en |
dc.contributor.AlternativeAuthor | 강대희 | - |
dc.contributor.AlternativeAuthor | 이경호 | - |
dc.contributor.AlternativeAuthor | 이경무 | - |
dc.contributor.AlternativeAuthor | 권호장 | - |
dc.contributor.AlternativeAuthor | 홍윤철 | - |
dc.contributor.AlternativeAuthor | 조수헌 | - |
dc.identifier.doi | 10.1016/j.mrfmmm.2005.06.009 | - |
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