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Скачать или смотреть Vijaya Rao Pidugu | GVK Biosciences | India | Metabolomics 2014 | OMICS International

  • Dental and Oral Health 2014
  • 2015-08-21
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Vijaya Rao Pidugu | GVK Biosciences | India | Metabolomics 2014 | OMICS International
Vijaya Rao PiduguMetabolomics-2014OMICS Internationalbiomarkercardiovasculartherapeuticclinical trialsdatabase
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Описание к видео Vijaya Rao Pidugu | GVK Biosciences | India | Metabolomics 2014 | OMICS International

Title: Bilirubin as a biological marker for metabolic, cardiovascular and oncological disorders; Analysis using GOBIOM database.

3rd International Conference and Exhibition on Metabolomics & Systems Biology
March 24-26, 2014, San Antonio, USA

OMICS International: http://omicsonline.org
Vaccine Conferences: http://conferenceseries.com/immunolog...
Global Medical Conferences: http://conferenceseries.com
Global Pharmaceutical Conferences: http://pharmaceuticalconferences.com
Global Cancer Conferences: http://cancersummit.org
Global Diabetes Conferences: http://diabetesexpo.com
Global Dental Conferences: http://dentalcongress.com
Global Nursing Conferences: http://nursingconference.com

Abstract

Current advances in biomarker research area are aiding us in the development of new and clinically reliable indicators that will have a high specificity for the diagnosis and prognosis of the disease. The selection of a biomarker should have a biological or therapeutic basis and it should indicate a reliable correlation with the presence, characteristics, or aggressiveness of the disease. High levels of serum bilirubin, the principal product of heme degradation and a powerful antioxidant that suppresses lipid oxidation, have been viewed by clinicians as a marker of liver dysfunction. Epidemiological research has demonstrated an inverse relationship between elevated serum bilirubin levels and the development of CVD and some forms of cancer due to its antioxidant properties. Few studies have shown that this inverse relationship extends to other heart related disease risk factors such as diabetes, metabolic syndrome, peripheral artery disease (PAD), carotid intima-media thickening, and stroke. Our objective was to identify the reliability of Bilirubin as a biochemical diagnostic biomarker in metabolic, cardiovascular and oncological disorders based on the literature that is published on Bilirubin for multiple indications and establish its association with a single disease which is highly sensitive compared to others. To do the analysis, we used the data from GVK BIO Online Biomarker Database (GOBIOM), which is a repository of all clinical, preclinical and exploratory biomarkers reported for various indications. As on today, GOBIOM contains ~30000 known biomarkers data for 900 indications extracted from ~100000 references which includes journals, patents, scientific conferences and clinical trials. We retrieved Bilirubin biomarker data for all the reported indications from GOBIOM database and analyzed the levels of this marker in various indications compared to the healthy controls. Though abnormal Bilirubin levels are widely reported for variety of liver disorders, there are also reports showing its prominent role in other indications like pancreatic cancer, osteoarthritis, appendicitis, allograft rejection etc. Using the analysis tools of GOBIOM, we compared the percentage difference of Bilirubin between the diseased patients and healthy controls for all the reported indications to identify the diagnostic significance of this marker for the given indication.


Biography

Vijaya Rao Pidugu is a scientist in GVK Biosciences Private Limited, a leading contract research organization providing a spectrum of services and solutions such as scientific consulting and contract research services in the areas of Medicinal chemistry, Discovery biology, Informatics, Process R&D, Clinical research, Clinical data management and Clinical pharmacology. He has been associated with GVKBIO for 10 years and works on GVK BIO Online Biomarker Database (GOBIOM) database. His expertise includes identification of clinical targets, developing strategies for target identification, database optimization, data validation, maintaining data standards and evaluating therapeutic area related datasets.

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