Literature DB >> 16092718

Biomonitoring of inhaled complex mixtures--ambient air, diesel exhaust and cigarette smoke.

Gerhard Scherer1.   

Abstract

Human biomonitoring comprises the determination of biomarkers in body-fluids, cells and tissues. Biomarkers are generally assigned to one of three classes, namely, biomarkers of exposure, effect or susceptibility. Since biomarkers represent steps in an exposure-disease continuum, their application in epidemiological studies ('molecular epidemiology') shows promise. However, to be a predictor of disease, a biomarker has to be validated. Validation criteria for a biomarker include intrinsic qualities such as specificity, sensitivity, knowledge of background in the population, existence of dose-response relationships, degree of inter- and intra-individual variability, knowledge of the kinetics, confounding and modifying factors. In addition, properties of the sampling and analytical procedures are of relevance, including constraints and non-invasiveness of sampling, stability of sample as well as simplicity, high sensitivity, specificity and speed of the analytical method. It is of particular importance to prove by suitable studies that the biomarker of exposure indicates the actual exposure, the biomarker of effect strongly predicts the actual risk of disease and the biomarker of susceptibility actually modifies the risk. Biomonitoring of the exposure to complex mixtures such as polluted ambient air, diesel exhaust or tobacco smoke is a particular challenge since these exposures have many constituents in common and many people were exposed to more than one of these mixtures. Data on the exposure to polycyclic aromatic hydrocarbons (PAH) and benzene from ambient air, diesel exhaust and tobacco smoke will be presented. In addition, some source-specific biomarkers such as nitro-arenes and nicotine metabolites as well as their application in population groups will be discussed. The second part of the presentation addresses the application of biomarkers for assessing so called 'potentially reduced exposure products' (PREPs). According to a recent report of the Institute of Medicine (USA), "reducing risk of disease by reducing exposure to tobacco toxicants is feasible" and "surrogate biological markers that are associated with tobacco-related diseases could be used to offer guidance as to whether or not PREPs are likely to be risk-reducing." In general, the same validation criteria apply as discussed above. In addition, it is suggested that a panel of biomarkers should be used, representing both smoke phases (gas and particulate phase) and the various chemical classes of smoke constituents (e.g., carbonyls, benzene, PAH, tobacco-specific nitrosamines, aromatic amines). Also, a panel of biomarkers of effect should cover the major known adverse effects of smoking (e.g., oxidative stress, inflammatory processes, lipid peroxidation, lipometabolic disorders, mutagenic effects). Biomarkers of nicotine and carbon monoxide uptake are of interest for evaluating the smoking and inhalation behavior, respectively. Finally, suitable study designs for evaluating PREPs are discussed. It is concluded that suitable biomarkers for assessing the exposure to complex mixtures such as ambient air, diesel exhaust and tobacco smoke as well as for evaluating the exposure-reducing properties of PREPs are already available. Future efforts should focus on the development and validation of biomarkers of effect.

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Year:  2005        PMID: 16092718     DOI: 10.1016/j.etp.2005.05.007

Source DB:  PubMed          Journal:  Exp Toxicol Pathol        ISSN: 0940-2993


  12 in total

1.  Short-term traffic related exposures and biomarkers of nitro-PAH exposure and oxidative DNA damage.

Authors:  Andreas M Neophytou; Jaime E Hart; Yan Chang; Junfeng Jim Zhang; Thomas J Smith; Eric Garshick; Francine Laden
Journal:  Toxics       Date:  2014-09

2.  Applying tobacco carcinogen and toxicant biomarkers in product regulation and cancer prevention.

Authors:  Stephen S Hecht; Jian-Min Yuan; Dorothy Hatsukami
Journal:  Chem Res Toxicol       Date:  2010-06-21       Impact factor: 3.739

3.  Multibiomarker approach to assess the magnitude of occupational exposure and effects induced by a mixture of metals.

Authors:  V Lopes de Andrade; D Serrazina; M L Mateus; C Batoréu; M Aschner; A P Marreilha Dos Santos
Journal:  Toxicol Appl Pharmacol       Date:  2021-08-23       Impact factor: 4.460

4.  Factors and Trends Affecting the Identification of a Reliable Biomarker for Diesel Exhaust Exposure.

Authors:  David A Morgott
Journal:  Crit Rev Environ Sci Technol       Date:  2014-08       Impact factor: 12.561

5.  Urinary delta-ALA: a potential biomarker of exposure and neurotoxic effect in rats co-treated with a mixture of lead, arsenic and manganese.

Authors:  Vanda Andrade; M Luísa Mateus; M Camila Batoréu; Michael Aschner; A P Marreilha dos Santos
Journal:  Neurotoxicology       Date:  2013-06-11       Impact factor: 4.294

Review 6.  The effects of tobacco smoke and nicotine on cognition and the brain.

Authors:  Gary E Swan; Christina N Lessov-Schlaggar
Journal:  Neuropsychol Rev       Date:  2007-08-10       Impact factor: 7.444

Review 7.  Combined toxic exposures and human health: biomarkers of exposure and effect.

Authors:  Ilona Silins; Johan Högberg
Journal:  Int J Environ Res Public Health       Date:  2011-02-24       Impact factor: 3.390

8.  Wider action plan and multidisciplinar approach could be a wining idea in creation of friendly environment.

Authors:  Natasa Gojkovic-Bukvic; Nenad Bukvic
Journal:  J Environ Public Health       Date:  2012-02-08

9.  Study of cardiovascular disease biomarkers among tobacco consumers, part 1: biomarkers of exposure.

Authors:  Leanne R Campbell; Buddy G Brown; Bobbette A Jones; Kristin M Marano; Michael F Borgerding
Journal:  Inhal Toxicol       Date:  2015-03-19       Impact factor: 2.724

Review 10.  Hookah (Shisha, Narghile) Smoking and Environmental Tobacco Smoke (ETS). A critical review of the relevant literature and the public health consequences.

Authors:  Kamal Chaouachi
Journal:  Int J Environ Res Public Health       Date:  2009-02-23       Impact factor: 3.390

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