Potential Use of Drug Response-Efficacy Biomarkers for Predicting Life-Threatening Disease Causing Side Effects of Therapeutic Drugs
Posted on: September 4, 2012

This scientific blog analyzes potential applications of drug response-efficacy biomarkers for predicting future onset of drug therapy induced life-threatening diseases, such as cardiovascular diseases, infectious diseases and cancer. Enabling applications of drug response-efficacy biomarkers for predicting drug-induced side effects may lead to the development of “smart biomarkers”, which can reduce morbidity and mortality in patients, and can revolutionize personalized medicine approaches. In order to achieve this goal, we proposed a model for the discovery of drug response-efficacy biomarkers and the translational utilization of these biomarkers for personalized therapies. In an exploratory analysis, anti-TNF therapy response markers of rheumatoid arthritis (RA) were analyzed, by intelligent data mining and data analysis, to demonstrate that these biomarkers may be potentially used for predicting the risk in developing cardiovascular diseases (CVDs), like atherosclerosis, in RA patients. Please follow this link to read the blog: http://www.sciclips.com/sciclips/blogArticle.do?id=Potential Use of Drug Response-Efficacy Biomarkers for Predicting Life-Threatening Disease Causing Side Effects of Therapeutic Drugs
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Rheumatoid Arthritis (RA) Biomarker and Drug Discovery Assays and Protocols
Posted on: August 30, 2012
An open access database of rheumatoid arthritis (RA) biomarker and drug discovery assays and protocols. The listed protocols are extracted from and linked to patents and journal articles. The innovative representation of protocols in this database will be a useful tool for idea/concept generation for developing innovative approaches for RA biomarker and drug discovery research. Please follow this link to see the complete list of protocols: P : http://www.sciclips.com/sciclips/bio-protocols.do?catName=Rheumatoid%20arthritis%20%28RA%29%20biomarker%20and%20drug%20discovery%20assay
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An open access database of biomarker and drug discovery assays/protocols for neurodegenerative diseases. The listed protocols are extracted from and linked to patents and journal articles. The innovative representation of protocols in this database will be a useful tool for idea/concept generation for developing innovative approaches for Alzheimer’s disease and Parkinson’s disease biomarker and drug discovery research. Please follow this link to see the complete list of protocols: http://www.sciclips.com/sciclips/bio-protocols.do?catName=Neurodegenerative%20disease%20biomarker%20and%20drug%20discovery
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Stem Cell Therapeutics Database
Posted on: April 24, 2012

We have launched an open access stem cell therapy database that contains comprehensive information on the therapeutic applications of stem cells for more than 300 diseases or disorders. The data was extracted from patents, patent applications and clinical trials. Highlights of the key invention and protocols/methods used for validating the therapeutic applications of various stem cell types are also included in this database. Link to the database: http://www.sciclips.com/sciclips/stem-cell-therapeutics-database-main.do
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2. Cell based reporter assays: misleading approach in drug discovery?
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4. Are stem cells ready as a next generation drug discovery tool?

Highlights of recent US patent applications on protein biomarkers and molecular diagnostics.
1. Biomarker for monitoring the efficacy of aspirin treatment
2. Biomarker for predicting the efficacy of trental (pentoxifylline) therapy in transitory ischemic attacks (TIA)/stroke patients
3. Biomarker for identifying infants with congenial heart diseases requiring cardiac surgery
4. Versican as a biomarker of renal injury
5. Fecal microRNA (miRNA) biomarkers for the detection of hereditary colorectal cancers
6. Real-time PCR method for the detection of Clostridium botulinum
7. Biomarkers for diagnosing susceptibility to insulin resistance in Hispanic Americans
8. Biomarkers for predicting response to antibody therapy in rheumatoid arthritis patients
9. Biomarkers for the detection of vasculitis in Wegener’s granulomatosis, microscopic polyangiitis and Horton’s disease
10. Immunodiagnostic biomarker for the sero-detection of Anaplasma phagocytophilum
11. Peptide biomarkers for the diagnosis of rheumatoid arthritis
12. Urinary biomarker for diagnosing HIV associated nephropathy (HIVAN)
Details: http://www.sciclips.com/sciclips/biomarker-news.do
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Strategies for Rational and Personalized Cancer Biomarker Discovery
1. Cancer Theranostics – Potential Applications of Cancer Biomarker Database
This scientific blog critically analyzes potential complexities associated with current biomarker discovery approaches. According to the scientific arguments that have been put forward in this blog, thousands of biomarkers that are currently being reported may not be true biomarkers of the target disease, rather it may be a complex mixture of biomarkers, which may include target disease specific biomarker as well as biomarkers or biomolecules associated with other diseases, infections, gender, race/ethnic backgrounds, geographic-environmental factors, psychiatric condition/diseases and nutritional factors. Based on our analysis, we believe that an ideal biomarker discovery platform, which can lead to the development of reliable and robust diagnostics assays, should be developed by integrating comprehensive understanding of patients’ phenotypic, genetic and socio-environmental characteristics along with biological and functional relevance of all biomolecules that may be potentially identified and called as biomarkers. Several innovative strategies for developing rational and personalized biomarker discovery platforms have been suggested in this blog. These strategies include 1) Comprehensive genome-scale analysis based rational genetic biomarker discovery 2) Cell or tissue or organ specific function based rational or targeted biomarker discovery 3) Use of validated tissue/organ specific biomarkers or therapeutic drug targets for identifying non-invasive biomarkers, 4) Epidemiology-driven biomarker discovery for developing personalized diagnostic tools and 5) Integrated bioinformatics approaches for rational biomarker discovery. The relevance of disease prevalence and predictive value in biomarker discovery for personalized medicine, utility of rational or personalized biomarkers in clinical trials and applications of rationally identified biomarkers for diagnostics imaging or theranostics have also been discussed. Read the full blog (click on this title): 









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