D. Segerback et P. Vodicka, RECOVERIES OF DNA-ADDUCTS OF POLYCYCLIC AROMATIC-HYDROCARBONS IN THE P-32 POSTLABELING ASSAY, Carcinogenesis, 14(12), 1993, pp. 2463-2469
The P-32-postlabelling assay for analysis of DNA adducts of chemical c
arcinogens has been applied in a large number of experimental animal a
nd human studies. Most human studies have dealt with occupational and
enviromnental exposures to polycyclic aromatic hydrocarbons (PAHs). Th
e postlabelling assay does not allow direct chemical identification, a
nd most studies with this method have not been performed in a quantita
tive way. Very little is therefore known about the identity and absolu
te levels of adducts, which are important contributors to the process
of risk identification and quantitation. In the present study it was,
therefore, decided to test some parameters suspected to affect recover
ies of adducts in the phosphorylation step of the assay. For this purp
ose 12 different PAHs were reacted individually and in a mixture with
DNA in the presence of a rat liver S9 metabolizing system. Different c
oncentrations of ATP, calcium chloride and polynucleotide kinase were
tested using the nuclease P1 enhancement. We found that each factor co
ntributed to adduct recovery and that optimal conditions could be defi
ned. Diluting the modified DNA samples up to 1000 times had little inf
luence on the recoveries of adducts. Comparing the nuclease P1 and th:
butanol extraction procedures for adduct purification showed that bot
h methods gave similar patterns and levels of major adducts. The absol
ute recoveries in postlabelling, based on H-3-binding of radiolabelled
compounds, were for most of the tested compounds relatively low. The
fact that the nuclease P1 and the butanol extraction procedures gave s
imilar recoveries points towards common factor(s) involved in the redu
ction of the recovered adduct levels. Based on the observed recoveries
the conclusion can be drawn that when postlabelling related adducts i
n human samples the true total adduct levels can be considerably under
estimated, even if optimal conditions are used.