Tehran University Medical Journal

Background: Tramadol is a synthetic drug which is prescribed in moderate and severe pain. Tramadol overdose can induce severe complications such as consciousness impairment and convulsions. This study was done to determine the convulsions incidence after tramadol use until one week after hospital discharge. Methods: This prospective study was done in tramadol overdose patients without uncontrolled epilepsy and head injury history. All cases admitted in Loghman and Rasol Akram Hospitals, Tehran, Iran from 1, April 2011 to 1, April 2012 were included and observed for at least 12 hours. Time interval between tramadol intake and first seizure were record. Then, patients with second drug-induced seizure were recognized and log time between the first and second seizure was analyzed. The patients were transferred to the intensive care unit (ICU) if clinical worsening status observed. One week after hospital discharge, telephone follow-up was conducted. Results: A total of 150 patients with a history of tramadol induced seizures (141 men, 9 women, age: 23.23±5.94 years) were enrolled in this study. Convulsion was seen in 104 patients (69.3%). In 8 out of 104 patients (7.6%) two or more convulsion was seen. Time interval between tramadol use and the onset of the first and second seizure were 0.93±0.17 and 2.5±0.75 hours, respectively. Tramadol induced seizures are more likely to occur in males and patients with a history of drug abuse. Finally, one hundred forty nine patients (99.3%) were discharged with good condition and the only one patient died from tramadol overdose. Conclusion: The results of the study showed tramadol induced seizure most frequently occurred within the first 4 hours of tramadol intake. The chance of experiencing a second seizure exists in the susceptible population. Thus, 4 hours after drug intake is the best time for patients to be hospital discharged.

Stable molecular changes during cell division without any change in the sequence of DNA molecules is known as epigenetic. Molecular mechanisms involved in this process, including histone modifications, methylation of DNA, protein complex and RNA antisense. Cancer genome changes happen through a combination of DNA hypermethylation, long-term epigenetic silencing with heterozygosis loss and genomic regions loss. Different combinations of N-terminal’s changes cooperate with histone variants with a specific role in gene regulation. It have led to load a setting histone that determine transcription potential of a particular gene or genomic regions. DNA methylation analysis in genome region using methylation-specific digital karyotyping of normal breast tissue detect gene expression patterns and DNA specific methylation can be found in breast carcinoma too more than 100 genes in breast tumors or cell lines of breast cancer are reported hypermethylated. Important of DNA methylation on cancer has been concentrated CpG islands hypermethylation. Most of the techniques are able to identify hypermethylated areas. Often, methylated genes play important role in cell cycle regulation, apoptosis, metastasis and tissue invasion, angiogenesis and hormonal signaling. Cyclin D2 (CCND2) gene is an important regulator of cell cycle and increased of expression inhibits the transition from G1 to S cell cycle. This gene is frequently methylated in breast cancer and has been proposed as the first event. Other cell cycle regulator is p16ink4A / CDKN2A that methylated in a large number of human cancers, including breast cancer. Another regulator of the proliferation of breast cancer that methylated is tumor suppressor RAR-β cancer that has been found in lobular and ductal carcinoma. Recent studies have showed the role of epigenetic silencing in the pathogenesis of breast cancer in which tumor suppressor genes have been changed by acetylation and DNA deacetylation. Histone deacetylase inhibitors have different roles in cancer cells and could show the ways of new treatment for breast cancer. In this review, various aspects of breast cancer epigenetics and its applications in diagnosis, prediction and treatment are described.