Adenosine upregulates VEGF expression in cultured myocardial vascular smooth muscle cells.

We tested whether adenosine has differential effects on vascular endothelial growth factor (VEGF) expression under normoxic and hypoxic conditions, and whether A(1) or A(2) receptors (A(1)R; A(2)R) mediate these effects. Myocardial vascular smooth muscle cells (MVSMCs) from dog coronary artery were exposed to hypoxia (1% O(2)) or normoxia (20% O(2)) in the absence and presence of adenosine agonists or antagonists for 18 h. VEGF protein levels were measured in media with ELISA. VEGF mRNA expression was determined with Northern blot analysis. Under normoxic conditions, the adenosine A(1)R agonists, N(6)-cyclopentyladenosine and R(-)-N(6)-(2-phenylisopropyl)adenosine did not increase VEGF protein levels at A(1)R stimulatory concentrations. However, adenosine (5 microM) and the adenosine A(2)R agonist N(6)-[2-(3, 5-dimethoxyphenyl)-2-(2-methylphenyl)]ethyl adenosine (DPMA; 100 nM) increased VEGF protein levels by 51 and 132% and increased VEGF mRNA expression by 44 and 90%, respectively, in cultured MVSMCs under normoxic conditions. Hypoxia caused an approximately fourfold increase in VEGF protein and mRNA expression, which could not be augmented with exogenous adenosine, A(2)R agonist (DPMA), or A(1)R agonist [1,3-diethyl-8-phenylxanthine (DPX)]. The A(2)R antagonist 8-(3-chlorostyryl)-caffeine completely blocked adenosine-induced VEGF protein and mRNA expression and decreased baseline VEGF protein levels by up to approximately 60% under normoxic conditions but only by approximately 25% under hypoxic conditions. The A(1)R antagonist DPX had no effect. These results are consistent with the hypothesis that 1) adenosine increases VEGF protein and mRNA expression by way of A(2)R. 2) Adenosine plays a major role as an autocrine factor regulating VEGF expression during normoxic conditions but has a relatively minor role during hypoxic conditions. 3) Endogenous adenosine can account for the majority of basal VEGF secretion by MVSMCs under normoxic conditions and could therefore be a maintenance factor for the vasculature.

Antimutagenicity profiles for some model compounds.

The concept of activity profile listings and plots, already applied successfully to the display of mutagenicity data, has been modified for application to antimutagenicity data. The activity profiles are bar graphs that have been organized in two general ways: for antimutagens that have been tested in combination with a given mutagen and for mutagens that have been tested in combination with a given antimutagen. Doses from both the mutagen and the antimutagen are displayed and plotted together with results on enhancement or inhibition of mutagenic activity. The short-term tests that have been used extensively to identify mutagens and potential carcinogens are increasingly being used to identify antimutagens and potential anticarcinogens. Three model mutagens, N-methyl-N'-nitro-N-nitrosoguanidine, aflatoxin B1 and benzo[a]pyrene, and 4 model antimutagens, butylated hydroxyanisole, butylated hydroxytoluene, glutathione and disulfiram, were selected from the data surveyed in the published literature. It is not clear at the present time whether the inhibition of carcinogen-induced mutation is a good indicator of anticarcinogenic properties, and further research is needed. Nevertheless, the activity profiles are useful for the assessment of the available antimutagenesis data by providing rapid visualization of considerable dose information and experimental results.

Genetic activity profiles in the testing and evaluation of chemical mixtures.

Some knowledge of the potential genetic activity of a complex environmental mixture may be gained from an assessment of the genetic activity of its component chemicals. The expanded Genetic Activity Profile (GAP) data base provides a computer-generated graphic representation of genetic bioassay data as a function of dose of the substance tested. In addition, the Atmospheric Chemical Compound (ACC) data-base contains information on chemical structures, properties, detection methods, and sources of chemicals found in ambient air. Using the combined data bases, the quantity of an individual chemical present within a mixture or fraction of a mixture may be related to the quantity (lowest effective dose, LED) of the chemical, by itself, required to demonstrate a positive response in one or more genetic bioassays.

The genetic toxicology of benzoin and caprolactam.

A summary is presented of the published literature on the genetic toxicology of the two rodent non-carcinogens benzoin and caprolactam.

Use of computerized data listings and activity profiles of genetic and related effects in the review of 195 compounds.

Computer-generated listings of data from short-term tests for genetic and related effects (activity profile listings) were prepared for 195 compounds that included for each compound, the test system (identified by a three-letter code word), qualitative results and the lowest effective dose (LED) or highest ineffective dose (HID) tested. A corresponding bar or line graph (activity profile) was also generated, in which test systems are displayed along the x-axis and the LED or HID values along the y-axis. The listings were reviewed and the data summarized by an IARC Working Group. The methodology used to generate these listings and plots is described, and results are given for one compound, benzene. The entire data base contains approximately 7000 entries from 4000 references.