TY - JOUR T1 - 0432 Can exposure-response curves based on molecular epidemiology data inform the exposure-response curve? JF - Occupational and Environmental Medicine JO - Occup Environ Med SP - A124 LP - A124 DO - 10.1136/oemed-2014-102362.392 VL - 71 IS - Suppl 1 AU - Roel Vermeulen AU - Qing Lan AU - Jelle Vlaanderen AU - Lutzen Portengen AU - Nat Rothman Y1 - 2014/06/01 UR - http://oem.bmj.com/content/71/Suppl_1/A124.2.abstract N2 - Objectives Derivation of the exposure-response curve at low (occupational) exposures is often troubled by the fact that within epidemiological investigations power to discern the exposure-response curve (ERC) at low exposure levels is often limited. Conversely, we often observe non-linear exposure-response curves at the higher end of the exposure range which amongst others may be due to metabolic saturation. Method Derivation of the exposure-response curve at low (occupational) exposures is often troubled by the fact that within epidemiological investigations power to discern the exposure-response curve (ERC) at low exposure levels is often limited. Conversely, we often observe non-linear exposure-response curves at the higher end of the exposure range which amongst others may be due to metabolic saturation. Results Studies on benzene exposed occupational populations have indicated 1) non-linear production of reactive metabolites at low levels of exposure; 2) non-linear production of benzene-oxide adducts; and 3) non-linear associations between benzene and hematoxicity. This is of particular interest as there have been indications of a possible non-linear association between benzene and leukaemia in epidemiological studies. Conclusions The evidence on a molecular and clinical level may provide evidence for a possible non-linear association between benzene and leukaemia and provides promise that molecular data can directly be integrated in epidemiological risk analyses to inform ERCs. ER -