Literature DB >> 15935804

The use of S-phenylmercapturic acid as a biomarker in molecular epidemiology studies of benzene.

Peter B Farmer1, Balvinder Kaur, Jonathan Roach, Len Levy, Dario Consonni, Pietro A Bertazzi, Angela Pesatori, Silvia Fustinoni, Marina Buratti, Matteo Bonzini, Antonio Colombi, Todor Popov, Domenico Cavallo, Arianna Desideri, Federico Valerio, Mauro Pala, Claudia Bolognesi, Franco Merlo.   

Abstract

S-Phenylmercapturic acid (S-PMA), is a urinary metabolite of benzene, thought to be derived from the condensation product of benzene oxide with glutathione. S-PMA may be determined by GC, HPLC (UV or fluorescence detection), GC-MS, LC-MS/MS or immunoassays. The limit of sensitivities of most of these techniques is 1 microg/l urine or below. It has been suggested that S-PMA may have value as a biomarker for low level human exposure to benzene, in view of the facts that urinary excretion of S-PMA has been found to be related to airborne benzene in occupationally exposed workers, and that only low background levels of S-PMA have been found in control subjects. We have evaluated the use of S-PMA as a biomarker, using a commercially available analytical service, in a multicentre European study of populations exposed to varying levels of benzene, in Italy (Milan, Genoa) and in Bulgaria (Sofia). These were filling station attendants, urban policemen, bus drivers, petrochemical workers and referents (a total of 623 subjects). S-PMA was measured at the end of the work shift by an immunoassay procedure. Urinary benzene (in Milan only) and the benzene metabolite trans,trans-muconic acid (t,t-MA) were measured before and after the work shift. Air-borne benzene was measured as a monitor of exposure. Urinary benzene was the most discriminatory biomarker and showed a relationship with airborne benzene at all levels of exposure studied (including groups exposed to <0.1 ppm benzene), whereas t,t-MA and S-PMA, as determined by immunoassay, were suitable only in the highest exposed workers (petrochemical industry, geometric mean 1765 microg/m3 (0.55 ppm) benzene). All three biomarkers were positively correlated with smoking as measured by urinary cotinine).

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15935804     DOI: 10.1016/j.cbi.2005.03.013

Source DB:  PubMed          Journal:  Chem Biol Interact        ISSN: 0009-2797            Impact factor:   5.192


  5 in total

Review 1.  Benzene exposure: an overview of monitoring methods and their findings.

Authors:  Clifford P Weisel
Journal:  Chem Biol Interact       Date:  2010-01-06       Impact factor: 5.192

2.  Validity of new biomarkers of internal dose for use in the biological monitoring of occupational and environmental exposure to low concentrations of benzene and toluene.

Authors:  Piero Lovreglio; Anna Barbieri; Mariella Carrieri; Laura Sabatini; Maria Enrica Fracasso; Denise Doria; Ignazio Drago; Antonella Basso; Maria Nicolà D'Errico; Giovanni Battista Bartolucci; Francesco Saverio Violante; Leonardo Soleo
Journal:  Int Arch Occup Environ Health       Date:  2009-10-14       Impact factor: 3.015

3.  Evaluation of urinary biomarkers of exposure to benzene: correlation with blood benzene and influence of confounding factors.

Authors:  Perrine Hoet; Erika De Smedt; Massimo Ferrari; Marcello Imbriani; Luciano Maestri; Sara Negri; Peter De Wilde; Dominique Lison; Vincent Haufroid
Journal:  Int Arch Occup Environ Health       Date:  2008-11-14       Impact factor: 3.015

4.  Urinary benzene biomarkers and DNA methylation in Bulgarian petrochemical workers: study findings and comparison of linear and beta regression models.

Authors:  Wei Jie Seow; Angela Cecilia Pesatori; Emmanuel Dimont; Peter B Farmer; Benedetta Albetti; Adrienne S Ettinger; Valentina Bollati; Claudia Bolognesi; Paola Roggieri; Teodor I Panev; Tzveta Georgieva; Domenico Franco Merlo; Pier Alberto Bertazzi; Andrea A Baccarelli
Journal:  PLoS One       Date:  2012-12-05       Impact factor: 3.240

Review 5.  Applying a Weight-of-Evidence Approach to Evaluate Relevance of Molecular Landscapes in the Exposure-Disease Paradigm.

Authors:  Sherilyn A Gross; Kristen M Fedak
Journal:  Biomed Res Int       Date:  2015-08-03       Impact factor: 3.411

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.