Biomedical subjects
Publications and source records attributed to M D Hogan.
Both toxicologic studies and studies in environmental chemistry are important in assessing the potential adverse health effects of human exposures to hazardous environmental agents. This article discusses the toxic effects of chemical concentration at the target organ or site and how the concentration is related to the level of external exposure.
This paper explores the inter-relationship between toxicity, genotoxicity, and carcinogenicity in laboratory rodents. To our knowledge this is the first attempt to integrate these factors and evaluate their implications for the process of risk assessment. The evaluation is based on information obtained from 2-year laboratory-animal studies involving 99 chemicals. The data suggest that only seven of the 53 positive carcinogenicity studies exhibited the types of target organ toxicity that could have been the cause of all observed carcinogenic effects. Furthermore, no apparent difference in mutagenicity as measured by the Ames Salmonella assay was observed between 'high dose only' carcinogens and the entire set of carcinogens. These findings suggest that the number of chemical carcinogens that we can identify solely through rodent studies as being potential tumor inducers through some indirect mechanism is small. Generally speaking, the identification of histopathological effects is not sufficient in itself for justifying mechanistic assumptions, and supplemental biological information will be necessary to reach definitive conclusions.
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K.J. Rothman has explored in some detail the issue of assessing the potential presence of synergism (or antagonism) in data generated from either a cohort or a case-control study. Arguing that the "natural" scale for quantifying the joint effects of two or more factors acting in combination is the probability scale, he has proposed a procedure based on a ratio-type index for evaluating two-factor interaction in the presence of non-zero background effects. In this paper, the authors review the rationale underlying Rothman's approach for a cohort study. They then present what they maintain is a simpler and more appropriate test procedure (utilizing a linear contrast of the observed risks) for the additive approximation to his basic probabilistic model of "no interaction." A likelihood ratio test based on his original model is also proposed, as well as a closed form approximation to it. Finally, the assessment of interaction in cohort studies involving exposure factors measured at more than two levels is addressed.
Ozone and the oxides of sulfur are common environmental pollutants. The acute pulmonary lesions caused by ozone and sulfuric acid mist in rats and guinea pigs have been characterized. Rats are not affected by sulfuric acid mist in concentrations up to 100 mg/m3 except for reduced body weight at the higher doses. A true alveolitis develops in guinea pigs exposed to more than 20 mg/m3 sulfuric acid mist. The ozone lesion is primarily confined to the terminal bronchioles and proximal alveoli. In combination studies with up to 2 ppm ozone and up to 10 mg/m3 sulfuric acid mist, the pulmonary lesion and lung/body weight data were essentially the same as in exposure to ozone alone, and the number of statistically significant synergistic effects in rats and guinea pigs was about what one would expect to observe by chance alone.
The use of methotrexate in psoriasis has recently been questioned because of possible carcinogenic potential. Two hundred twenty-four patients began methotrexate therapy during 1960 to 1965 at the Cleveland Clinic and at Duke University Medical Center. The incidence of malignant neoplasms and mortality has been studied in 205 of these 224 patients. Mortality increased with hepatic disease. No increased incidence of total internal malignancy was found, nor did any one type of neoplasm appear predominant.
In teratology experiments the litter (pregnant female) rather than the fetus is advocated as being the proper experimental unit upon which to base the statistical analysis. It is pointed out that per litter tests, by being based on the average fetal response within a litter, do take the individual fetus into account. Actual experimental data are used to show that when litter effects are present a per fetus analysis is invalid and may seriously exaggerate the significance level. It is also shown that there appears to be little loss in sensitivity in performing per litter tests even in the unlikely event that there are no litter effects. Thus it certainly seems prudent to analyze teratology data with test procedures that treat the litter as the experimental unit.
This paper discusses some of the statistical and biological problems that are likely to be encountered when an indirect or ecological approach is used to assess the possible public health impact of general population exposures to environmental agents. For purposes of illustration, the potential association between various site-specific cancer mortality rates and chloroform levels in public drinking water supplies was considered. The analyses that were performed demonstrated that, for the data sets under consideration, there were some definite associations between chloroform levels and cancer mortality for specific sites such as the rectum-intestine and bladder. However, the marked extent to which these results were dependent on (1) the weighting scheme adopted in the analysis, (2) the presumed appropriateness of the data, and (3) the characteristics of the statistical model was also clearly illustrated. Because of these dependencies the quantitative, causal interpretation of results generated from an indirect study would appear to be a very tenuous and questionable practice in most instances.
Blood lead and hypertension are associated in adults. We attempted to duplicate this finding in a presumably more susceptible group of children. Small but statistically significant negative corelations were found between blood pressure and lead levels in these children. This indicated to us that the proposed positive relationship did not exist, and that the failure to detect such a relationship was not due to small sample size.