A prospective study of demographic profile, risk factors and pregnancy outcome in Hepatitis B and Hepatitis C virus positive pregnant women in a tertiary care centre

Background: Viral hepatitis is the most common liver disease in pregnancy and is also the most common cause of jaundice in pregnancy in tropical countries. Risk factors for transmission are intravenous drug abuse, surgical and dental procedures done without adequate sterilization of instruments, sexual route etc. Early diagnosis and management can prevent maternal and fetal complications. This study was done to evaluate the frequency, risk factors and pregnancy outcome in hepatitis B virus (HBV) and hepatitis C virus (HCV) positive antenatal women.Methods: This case control study was conducted in Teerthankar Mahaveer Medical College and Research Centre, Moradabad, Uttar Pradesh, India from January 2017 to June 2018 on total 2511 pregnant women. The serum samples were checked for presence of hepatitis B surface antigen (HBsAg) and presence of IgG antibodies to HCV. Analysis of sociodemographic profile, risk factors and pregnancy outcome were done in all HBV and HCV positive women.Results: Out of 2511 pregnant women, 292 were tested positive for hepatitis. Maximum number of women were in the age group of 21-30 years. Most of the seropositive women were multipara. Frequency of positivity was maximum for HCV (67.1%). The risk factors for transmission in study population were intravenous drug abuse, blood transfusion, history of surgery and tattooing.Conclusions: Hepatitis infection rate is increasing. Universal screening for HBV and HCV can be recommended in pregnant women in developing countries. Education and awareness of public and health care workers can reduce the risk of transmission.

A Review: Protein Interaction & Behavior Assessment in Host Cells after Novel Drug Compound Administration using Systems Biology Approach

To understand complex biological systems requires the integration of experimental and computational research; in other words systems biology approach. Computational biology, through via different software helps in exploration more than one gene expression at a time and also understanding the connectivity, Systems Biology provides a powerful foundation from which to address critical scientific questions head-on. The reviews in this Insight cover many different aspects of this energetic field, although all, in one way or another, illuminate the functioning of modular circuits, including their robustness, design and manipulation. Computational systems biology addresses questions fundamental to our understanding of life, yet progress here will lead to practical innovations in medicine, drug discovery and engineering, In this study we have evaluated th