Fatal alcohol intoxication in women: A forensic autopsy study from Slovakia

<p>Abstract</p> <p>Background</p> <p>Plenty of information related to alcoholism can be found in the literature, however, the studies have mostly dealt with the predominance of male alcoholism and data related to addiction in women are desperately scarce and difficult to find. Basic demographic data focusing on the impact of acute alcohol intoxication on the circumstances of death and social behaviour in the alcohol addicted female population are needed especially in the prevention of alcohol related mortality.</p> <p>Methods</p> <p>A retrospective forensic autopsy study of all accidental deaths due to alcohol intoxication over a 12-year period was performed in order to evaluate the locations, circumstances, mechanisms and causes of death.</p> <p>Results</p> <p>A sample of 171 cases of intoxicated women who died due to blood alcohol concentration (BAC) equal to or higher than 2 g/kg was selected. Among them 36.26% (62/171) of women died due to acute alcohol intoxication (AAI). We noted an increase in the number of deaths in women due to AAI from 2 in 1994 up to 5 in 2005 (an elevation of 150% between the years 1994-2005). The age structure of deaths in women due to BAC and AAI followed the Gaussian distribution with a dominant group of women aged 41-50 years (45.16% and 35.09% respectively). The most frequent place of death (98%) among women intoxicated by alcohol was their own home. The study suggests a close connection between AAI and violence against women.</p> <p>Conclusions</p> <p>The increasing number of cases of death of women suffering from AAI has drawn attention to the serious problem of alcoholism in women in the Slovak Republic during the process of integration into "western" lifestyle and culture.</p

Cancer Biomarker Discovery: The Entropic Hallmark

Background: It is a commonly accepted belief that cancer cells modify their transcriptional state during the progression of the disease. We propose that the progression of cancer cells towards malignant phenotypes can be efficiently tracked using high-throughput technologies that follow the gradual changes observed in the gene expression profiles by employing Shannon's mathematical theory of communication. Methods based on Information Theory can then quantify the divergence of cancer cells' transcriptional profiles from those of normally appearing cells of the originating tissues. The relevance of the proposed methods can be evaluated using microarray datasets available in the public domain but the method is in principle applicable to other high-throughput methods. Methodology/Principal Findings: Using melanoma and prostate cancer datasets we illustrate how it is possible to employ Shannon Entropy and the Jensen-Shannon divergence to trace the transcriptional changes progression of the disease. We establish how the variations of these two measures correlate with established biomarkers of cancer progression. The Information Theory measures allow us to identify novel biomarkers for both progressive and relatively more sudden transcriptional changes leading to malignant phenotypes. At the same time, the methodology was able to validate a large number of genes and processes that seem to be implicated in the progression of melanoma and prostate cancer. Conclusions/Significance: We thus present a quantitative guiding rule, a new unifying hallmark of cancer: the cancer cell's transcriptome changes lead to measurable observed transitions of Normalized Shannon Entropy values (as measured by high-throughput technologies). At the same time, tumor cells increment their divergence from the normal tissue profile increasing their disorder via creation of states that we might not directly measure. This unifying hallmark allows, via the the Jensen-Shannon divergence, to identify the arrow of time of the processes from the gene expression profiles, and helps to map the phenotypical and molecular hallmarks of specific cancer subtypes. The deep mathematical basis of the approach allows us to suggest that this principle is, hopefully, of general applicability for other diseases