Leukemia and occupational exposure to electromagnetic fields: An incident case-control study

The existence of an association between leukemia and electromagnetic fields (EMF) is still controversial. The results of epidemiologic studies of leukemia in occupational groups with exposure to EMF are inconsistent. Weak associations have been seen in a few studies. EMF assessment is lacking in precision. Reported dose-response relationships have been based on qualitative levels of exposure to EMF without regard to duration of employment or EMF intensity on the jobs. Furthermore, potential confounding factors in the associations were not often well controlled. The current study is an analysis of the data collected from an incident case-control study. The primary objective was to test the hypothesis that occupational exposure to EMF is associated with leukemia, including total leukemia (TL), myelogenous leukemia (MYELOG) and acute non-lymphoid leukemia (ANLL). Potential confounding factors: occupational exposure to benzene, age, smoking, alcohol consumption, and previous medical radiation exposures were controlled in multivariate logistic regression models. Dose-response relationships were estimated by cumulative occupational exposure to EMF, taking into account duration of employment and EMF intensity on the jobs. In order to overcome weaknesses of most previous studies, special efforts were made to improve the precision of EMF assessment. Two definitions of EMF were used and result discrepancies using the two definitions were observed. These difference raised a question as to whether the workers at jobs with low EMF exposure should be considered as non-exposed in future studies. In addition, the current study suggested use of lifetime cumulative EMF exposure estimates to determine dose-response relationship. The analyses of the current study suggest an association between ANLL and employment at selected jobs with high EMF exposure. The existence of an association between three types of leukemia and broader categories of occupational EMF exposure, is still undetermined. If an association does exist between occupational EMF exposure and leukemia, the results of the current study suggest that EMF might only be a potential factor in the promotion of leukemia, but not its initiation. ^

Structural and functional studies of the human integrin $\alpha 4\beta 1$ (CD49d/CD29)

The integrin receptor $\alpha 4\beta 1$ is a cell surface heterodimer involved in a variety of highly regulated cellular interactions. The purpose of this dissertation was to identify and characterize unique structural and functional properties of the $\alpha 4\beta 1$ molecule that may be important for adhesion regulation and signal transduction. To study these properties and to establish a consensus sequence for the $\alpha 4$ subunit, cDNA encoding $\alpha 4$ was cloned and sequenced. A comparison with previously described human $\alpha 4$ sequences identified several substitutions in the $5\prime$ and $3\prime$ untranslated regions, and a nonsynonymous G to A transition in the coding region, resulting in a glutamine substitution for arginine. Further analysis of this single nucleotide substitution indicated that two variants of the $\alpha 4$ subunit exist, and when compared with three ancestrally-related species, the new form cloned in our laboratory was found to be evolutionarily conserved.^ The expression of $\alpha 4$ cDNA in transfected K562 erythroleukemia cells, and subsequent studies using flow cytofluorometric, immunochemical, and ligand binding/blocking analyses, confirmed $\alpha 4\beta 1$ as a receptor for fibronectin (FN) and vascular cell adhesion molecule-1 (VCAM-1), and provided a practical means of identifying two novel monoclonal antibody (mAb) binding epitopes on the $\alpha 4\beta 1$ complex that may play important roles in the regulation of leukocyte adhesion.^ To investigate the association of $\alpha 4\beta 1$-mediated adhesion with signals involved in the spreading of lymphocytes on FN, a quantitative method of analysis was developed using video microscopy and digital imaging. The results showed that HPB-ALL $(\alpha 4\beta 1\sp{\rm hi},\ \alpha 5\beta 1\sp-)$ cells could adhere and actively spread on human plasma FN, but not on control substrate. Many cell types which express different levels of the $\alpha 4\beta 1$ and $\alpha 5\beta 1$ FN binding integrins were examined for their ability to function in these events. Using anti-$\alpha 4$ and anti-$\alpha 5$ mAbs, it was determined that cell adhesion to FN was influenced by both $\beta 1$ integrins, while cell spreading was found to be dependent on the $\alpha 4\beta 1$ complex. In addition, inhibitors of phospholipase A$\sb2$ (PLA$\sb2$), 5-lipoxygenases, and cyclooxygenases blocked HPB-ALL cell spreading, yet had no effect on cell adhesion to FN, and the impaired spreading induced by the PLA$\sb2$ inhibitor cibacron blue was restored by the addition of exogenous arachidonic acid (AA). These results suggest that the interaction of $\alpha 4\beta 1$ with FN, the activation of PLA$\sb2,$ and the subsequent release of AA, may be involved in lymphocyte spreading. ^

New methods for quantification and analysis of quantitative real-time polymerase chain reaction data

Quantitative real-time polymerase chain reaction (qPCR) is a sensitive gene quantitation method that has been widely used in the biological and biomedical fields. The currently used methods for PCR data analysis, including the threshold cycle (CT) method, linear and non-linear model fitting methods, all require subtracting background fluorescence. However, the removal of background fluorescence is usually inaccurate, and therefore can distort results. Here, we propose a new method, the taking-difference linear regression method, to overcome this limitation. Briefly, for each two consecutive PCR cycles, we subtracted the fluorescence in the former cycle from that in the later cycle, transforming the n cycle raw data into n-1 cycle data. Then linear regression was applied to the natural logarithm of the transformed data. Finally, amplification efficiencies and the initial DNA molecular numbers were calculated for each PCR run. To evaluate this new method, we compared it in terms of accuracy and precision with the original linear regression method with three background corrections, being the mean of cycles 1-3, the mean of cycles 3-7, and the minimum. Three criteria, including threshold identification, max R2, and max slope, were employed to search for target data points. Considering that PCR data are time series data, we also applied linear mixed models. Collectively, when the threshold identification criterion was applied and when the linear mixed model was adopted, the taking-difference linear regression method was superior as it gave an accurate estimation of initial DNA amount and a reasonable estimation of PCR amplification efficiencies. When the criteria of max R2 and max slope were used, the original linear regression method gave an accurate estimation of initial DNA amount. Overall, the taking-difference linear regression method avoids the error in subtracting an unknown background and thus it is theoretically more accurate and reliable. This method is easy to perform and the taking-difference strategy can be extended to all current methods for qPCR data analysis.^