alexa Network Analysis Accelerates Understanding of Disease Mechanisms | OMICS International
ISSN: 2161-1459
Journal of Clinical & Experimental Pharmacology

Like us on:

Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business

Network Analysis Accelerates Understanding of Disease Mechanisms

Jose A Santiago and Judith A Potashkin*

Department of Cellular and Molecular Pharmacology, Rosalind Franklin University of Medicine and Science, USA

*Corresponding Author:
Judith A Potashkin
Department of Cellular and Molecular Pharmacology
The Chicago Medical School
Rosalind Franklin University of Medicine and Science
3333 Green Bay Rd, North Chicago, Illinois 60064-3037
Tel: (847) 578-8677
Fax: (847) 578-3268
E-mail: [email protected]

Received date: October 16, 2013; Accepted date: October 17, 2013; Published date: October 25, 2013

Citation: Santiago JA, Potashkin JA (2013) Network Analysis Accelerates Understanding of Disease Mechanisms. Clin Exp Pharmacol 3:e123. doi: 10.4172/2161-1459.1000e123

Copyright: © 2013 Santiago JA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Clinical & Experimental Pharmacology

During the last decade, high throughput methods including gene profiling and genome wide association studies have identified thousands of genetic risk factors, biological pathways and biomarkers for a wide range of diseases. Despite this apparent success, the translation of this valuable data into clinical tools for disease diagnosis, prognosis and treatment remains challenging due to the rigorous and highly complex statistical methods used and the limited functional and biological information derived from these datasets. To address this hurdle, network biology has emerged as a powerful tool for the characterization of complex diseases by integrating genetic and environmental factors into a single system with biological relevance.

Based on the observation that causal genes of disease tend to be interconnected in common biological modules [1], the study of how disruption in these genetic networks lead to disease has been fundamental in the understanding of many complex diseases. In this regard, network biology has elucidated molecular networks causative of disease. For example, integration of co-expression networks and genotypic data identified networks associated with metabolic disease and causal genes for obesity [2,3]. An alternative method to discover novel causative disease genes is to explore the interconnectivity and distance of well-characterized genes to closely associated neighbors in a gene or protein interaction network. Using this strategy, novel susceptibility genes and underlying disease mechanisms were identified in Alzheimer’s disease (AD) [4].

Another area of great interest is understanding disease comorbities. Network approaches have been useful in dissecting and providing insight into the underlying mechanism leading to concurrent diseases. Remarkably, analysis of the human metabolic network revealed that connected diseases with metabolic links displayed higher comorbidity than those with no metabolic links [5]. Given the intriguing hypothesis of a shared mechanisms leading to Parkinson’s disease and diabetes [6], this approach could provide insights into this relationship.

Biomarker discovery is another area of promise in the field of network biology. There are several challenges in the discovery and validation of biomarkers from high-throughput studies. One problem arising is that biomarkers from microarray studies can be data setspecific and provide limited information about the underlying disease etiology. Also, the biomarker signature identified depends on the statistical approach used in the analysis. In addition, it has become evident that there is very little overlap between biomarker sets identified for a particular disease using similar gene profiling methods. To address these issues, network based approaches are expected to facilitate the integration of multiple lines of information to identify accurate and reliable biomarkers for disease diagnosis. In this context, network approaches have successfully identified biomarkers with clinical applicability. For example, using a well characterized set of genes, a network approach identified biomarkers for progressive supranuclear palsy [7]. This approach utilizes a random walk algorithm with restart in which a random walker moves from a known disease gene to a random neighbor within a specified distance in the functional linkage network [8]. Biosignatures for colorectal cancer were also identified using this approach [9].

In summary, network-based approaches provide an innovative framework to dissect complex diseases. With the emerging field of RNA-sequencing technology, the amount of data and information is expected to greatly increase; therefore, integrative network approaches will be valuable to dissect the relevant biological information. Based on the recent success in identifying biomarkers for disease diagnosis, we foresee that network-based approaches will facilitate the discovery of therapeutic targets. Further, we expect that networks and systems biology will accelerate the translation of biomarkers and therapeutics to the clinic.

References

Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Relevant Topics

Recommended Conferences

  • 12th Asian Biologics and Biosimilars Congress
    August 20-21, 2018 Tokyo, Japan
  • International Conference and Exhibition on Drug Safety & Pharmacovigilance
    August 29-30, 2018 | Toronto, UK
  • 6 th European Biopharma Congress
    September 18-19, 2018 Amsterdam, Netherlands
  • 5th International Conference on Pain Medicine and Pain Management
    October 17-18, 2018 New York, USA
  • 18th World Pharma Congress
    October 18-19, 2018 Warsaw, Poland
  • 13th International Conference on Biosimilars and Biologics
    November 14-15, 2018 Lisbon, Portugal
  • 14th International Conference on Generic Drugs and Biosimilars
    November 15-16, 2018 Berlin, Germany

Article Usage

  • Total views: 11987
  • [From(publication date):
    November-2013 - Aug 15, 2018]
  • Breakdown by view type
  • HTML page views : 8204
  • PDF downloads : 3783
 

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

kactakapaniyor.com

[email protected]

+1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

Taktube

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

porn sex

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

Gaziantep Escort

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

sikiş

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

https://www.gaziantepescort.info

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

mp3 indir

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

putlockers

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

seks

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version