Big Data Analysis on Adverse Effects of Aquatic Pharmaceutical Contaminants to Human Health

Material Information

Title:
Big Data Analysis on Adverse Effects of Aquatic Pharmaceutical Contaminants to Human Health
Series Title:
Student Symposium 2022
Creator:
Trivedi, Nirali ( Author, Primary )
Ganesan, Vinayak ( Author, Primary )
Ghosh, Phalguni ( Thesis advisor )
Place of Publication:
Edison, NJ
Publisher:
Middlesex College
Publication Date:

Notes

Abstract:
A recent publication by the USGS reported the presence of 88 pharmaceutical compounds in 308 streams across the USA. These findings point to a nation-wide environmental concern and pose a risk to human and aquatic-ecosystem’s health. Hence there is a need to generate a complete picture of disease risk, by constructing a conceptual map illustrating the link between the contaminating chemicals and diseases. This study is not simple, given the complex nature of disease mechanism and the mode of action of the chemicals analyzed. Today where analytical chemistry methods are useful in detecting the presence of pharmaceuticals in water, they are insufficient to understand the direct, harmful effects of pharmaceuticals getting into humans through the ecosystem of the water bodies. Herein, we have carried out “Big Data” analysis to identify the disease-association of these 88 compounds. We have extracted data from the Comparative Toxicogenomics Database, Drugbank and used the Cytoscape software to construct the chemical-disease networks to explore the breadth of the issue. Using Cytoscape to study biological networks, begins with building a combined network for the topic of interest and mapping the curated network for analysis. Being able to visualize combined and curated data allows the researcher to understand and evaluate targeted information. In our studies the (a) 88 chemicals were linked to about 2208 data points spanning several diseases; (b) diseases were distributed in 19 classes; (c) Disease/Chemical associations were generated for the most harmful chemicals and major diseases. Hence, the disease map generated by this study can be helpful in strategizing proper healthcare efforts in the event of a contamination crisis.

Record Information

Source Institution:
Middlesex County College Institution
Holding Location:
Middlesex County College Institution
Rights Management:
All applicable rights reserved by the source institution and holding location.

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