Aki Nakayama

Molecular analysis of mutations induced by acrolein in human fibroblast cells using supF shuttle vector plasmids

Types of mutations induced by acrolein in the supF gene on the shuttle vector plasmid pMY189 replicated in normal human fibroblast cells were examined. Base sequence analysis of 92 plasmids with mutations in the supF gene revealed that the majority of the mutations were base substitutions (76%) and the others were deletions and insertions (24%). Single base substitutions were most frequently found (46%), while multiple base substitutions were 18% and tandem (two adjacent) base substitutions were 12% of the mutations. Of the base substitution mutations, G:C to T:A transversions were 44% and G:C to A:T transitions were 24%. The mutations were distributed not randomly but located at several hotspots. Acrolein produced DNA intra-strand cross-links between guanine residues, which might be responsible for rather high induction of the tandem base substitution mutations.

Comparison of the mutations induced by p-benzoquinone, a benzene metabolite, in human and mouse cells

Benzene is one of the chemicals widely contaminating the environment. Benzene is suggested to be a human leukemogen. When benzene is absorbed in the human body, it is metabolized firstly in the liver and subsequently in the bone marrow where it provokes initiation of leukemia. In the present study, we analyzed mutations induced by p-benzoquinone (p-BQ), a benzene metabolite, in human cells using a shuttle vector plasmid pMY189, and compared frequencies, types and spectra of the mutations with those of the mutations previously revealed in mouse cells using a similar plasmid pNY200. We found that p-BQ induces mutations in human and mouse cells at similar frequencies but with different types of mutagenesis. The proportion of tandem base mutations was significantly lower in human cells than in mouse cells. Most base substitutions were induced in G:C base pairs in both human and mouse cells. However, the proportion of G:C-->C :G transversion is significantly higher in human cells. These findings indicate that the p-BQ-induced DNA damage in human and mouse cells is processed in a different manner, and that extrapolation of mice findings on experimental benzene carcinogenesis to human cancer risk assessment should be conducted carefully.

Molecular analysis of mutations induced by a benzene metabolite, p-benzoquinone, in mouse cells using a novel shuttle vector plasmid.

Human population has been continually exposed to benzene which is present in our environment as an essential component of petroleum. p-Benzoquinone (p-BQ) is one of the benzene metabolites and is thought to be an ultimate toxic or carcinogenic substance. For molecular analysis of carcinogen-induced mutations in mouse cells, we constructed a new shuttle vector plasmid pNY200 that has supF gene as a target of the mutations and replicates in mouse and in Escherichia coli cells. In p-BQ-treated pNY200 propagated in mouse cells, base substitutions were induced predominantly at G:C sites, and the major mutation was G:C-->A:T transition. Many tandem base substitutions were also induced at CC:GG sequences. By a postlabeling analysis and a polymerase stop assay, we confirmed that p-BQ adducts formed in DNA and mutation sites roughly correspond to the sites where the adducts were formed. Comparing data of pNY200 in mouse cells with those of the similar shuttle vector plasmid pMY189 in human cells should be important for extrapolation of data from mouse to human, because carcinogenicity of chemicals is tested in mice.

Functional-dependent and size-dependent uptake of nanoparticles in PC12

It is suggested that the uptake of nanoparticles is changed by the particle size or the surface modification. In this study, we quantified the uptake of nanoparticles in PC12 cells exposed Quantum Dots with different surface modification or fluorescent polystyrene particles with different particle size. The PC12 cells were exposed three types of the Quantum Dots (carboxyl base-functionalized, amino base-functionalized or non-base-functionalized) or three types of the fluorescent particles (22 nm, 100 nm or 1000 nm) for 3 hours. The uptake of the nanoparticles was quantified with a spectrofluorophotometer. The carboxyl base-functionalized Quantum Dots were considerably taken up by the cells than the non-base-functionalized Quantum Dots. Conversely, the amino base-functionalized Quantum Dots were taken up by the cells less frequently than the non-base-functionalized Quantum Dots. The particle number of the 22 nm-nanoparticles taken up by the cells was about 53 times higher than the 100 nm-particles. However, the particle weight of the 100 nm-particles taken up by the cells was higher than that of the 22 nm-nanoparticles. The 1000 nm-particles were adhered to the cell membrane, but they were little taken up by the cells. We concluded that nanoparticles can be taken up nerve cells in functional-dependent and size-dependent manners.

Applicability of Mathematical Model for Evaluating Cancer Mortality Risk

The mathematical cancer evaluation model, the Generalized Moolgavkar‐Venson‐Knudson (G‐MVK) model and the two‐stage MVK model, were applied to Japanese cancer mortality statistics to examine the applicability of the models for estimating the mortality risk with its year and age dependent variation. First the G‐MVK model was simplified with the constant mutation parameters, and was applied to determine the number of stages required for cancer induction for sixteen kinds of cancers and total solid cancer. Then the G‐MVK model and the two‐stage MVK model were compared in their estimation accuracy, and the latter model was calibrated with the Japanese lung cancer and leukemia statistics. The main results obtained under the limits considered in this study are as follows: (1) the number of stages required for cancer induction was determined by numerical fitting with the cancer statistics. The estimated stage number depended on the kind of cancer, and the mortality depended on age and year, (2) the two‐stage MVK model was well calibrated with the statistics and was promising for depicting cancer mortality risk, and (3) the combined (one‐stage and two‐stage) MVK model was applied to leukemia to show that the hereditary chances of leukemia mortality can be depicted under the assumption that some people were born with an intermediate stem cell.