Registered under University of Calicut (U.O. No- 1244/2017/Admn dated 02.02.2017).Title of work: Molecular diagnostic reporting of Hepatitis C infection by data analysis, test validation, quality control and clinical state of the patient. Hepatitis C Virus (HCV) is a 9.6 Kb, enveloped, single stranded RNA virus of the Hepacivirus genus Chronic HCV infection is associated with very low antibody levels, low viral counts and asymptomatic. PCR inhibition and clinical condition of the patient further complicates the diagnosis of Hepatitis C infection. The study analyses these issues to improve the diagnosis, quantitation and genotyping of virus.
Registered under University of Calicut (U.O.No: 9347/2016/Admn dated 03/08/2016). Title of work: Urinary N-terminal telopeptide cross links of collagen (NTx) as a clinical screening marker for diseases associated with increased collagen metabolism. Collagen is the most abundant protein in the human body constituting more than 25% of protein mass. So far, 28 types of collagen have been identified and described. Collagen-related diseases most commonly arise from genetic defects or nutritional deficiencies that affect the biosynthesis, assembly, posttranslational modification, secretion, or other processes involved in normal collagen production. The functional significance of collagen deposition is less clear cut in the nephritides and hepatic cirrhosis. Studies have also demonstrated that elevated pretreatmentNTx values predict positive response to therapies such as hormone replacement therapy in postmenopausal women. In patients with malignancies, elevated levels of NTx may indicate bone metastases. Increased N-telopeptide results in urine indicate an increased rate of bone resorption. In this study, we are investigating the clinical use of the bone resorption marker and collagen degradation product, NTx as a diagnostic screening marker for collagen turnover in bone and elsewhere in the body
Shaima Rashid (UGC-JRF)
Registered under University of Calicut (U.O.No:13476 /2018/Admn dated 19/11/2018). Title of work:Data analysis of common dyslipidemias for better clinical interpretation, calculations of reference or cut–off levels and Relative prevalence. Dyslipidemias are diseases with abnormal levels of cholesterol and triglycerides in plasma lipoproteins and are commonly caused by lipoprotein metabolism disorders. The study is to gather clinical and clinical biochemistry data related to dyslipidemias,analyze and clinically interpret the data, calculate the reference levels and relative prevalence of the common dyslipidemias presented in the hospital.
