Evidence that humans metabolize benzene via two pathways.
BACKGROUND
Recent evidence has shown that humans metabolize benzene more efficiently at environmental air concentrations than at concentrations > 1 ppm. This led us to speculate that an unidentified metabolic pathway was mainly responsible for benzene metabolism at ambient levels.


OBJECTIVE
We statistically tested whether human metabolism of benzene is better fitted by a kinetic model having two pathways rather than one.


METHODS
We fit Michaelis-Menten-like models to levels of urinary benzene metabolites and the corresponding air concentrations for 263 nonsmoking Chinese females. Estimated benzene concentrations ranged from less than 0.001 ppm to 299 ppm, with 10th and 90th percentile values of 0.002 ppm and 8.97 ppm, respectively.


RESULTS
Using values of Akaike's information criterion obtained under the two models, we found strong statistical evidence favoring two metabolic pathways, with respective affinities (benzene air concentrations analogous to K(m) values) of 301 ppm for the low-affinity pathway (probably dominated by cytochrome P450 enzyme 2E1) and 0.594 ppm for the high-affinity pathway (unknown). The exposure-specific metabolite level predicted by our two-pathway model at nonsaturating concentrations was 184 muM/ppm of benzene, a value close to an independent estimate of 194 muM/ppm for a typical nonsmoking Chinese female. Our results indicate that a nonsmoking woman would metabolize about three times more benzene from the ambient environment under the two-pathway model (184 muM/ppm) than under the one-pathway model (68.6 muM/ppm). In fact, 73% of the ambient benzene dose would be metabolized via the unidentified high-affinity pathway.


CONCLUSIONS
Because regulatory risk assessments have assumed nonsaturating metabolism of benzene in persons exposed to air concentrations well above 10 ppm, our findings suggest that the true leukemia risks could be substantially greater than currently thought at ambient levels of exposure-about 3-fold higher among nonsmoking females in the general population.
Rappaport
Stephen M
SM
School of Public Health, University of California at Berkeley, Berkeley, California 94720-7356, USA. srappaport@berkeley.edu
Kim
Sungkyoon
S
Lan
Qing
Q
Vermeulen
Roel
R
Waidyanatha
Suramya
S
Zhang
Luoping
L
Li
Guilan
G
Yin
Songnian
S
Hayes
Richard B
RB
Rothman
Nathaniel
N
Smith
Martyn T
MT
D000293:Adolescent; D000328:Adult; D000393:Air Pollutants / Q000378:metabolism*; D001554:Benzene / Q000378:metabolism*; D005260:Female; D008401:Gas Chromatography-Mass Spectrometry; D006801:Humans; D008875:Middle Aged; D008962:Models, Theoretical; D015398:Signal Transduction / Q000502:physiology; D055815:Young Adult
D000393:Air Pollutants; D001554:Benzene