Featured Research

from universities, journals, and other organizations

Mathematical models target disease with drugs chosen by your DNA

Date:
July 16, 2013
Source:
Penn State
Summary:
Medicines that are personally tailored to your DNA are becoming a reality, thanks to the work of U.S. and Chinese scientists who developed statistical models to predict which drug is best for a specific individual with a specific disease.

Medicines that are personally tailored to your DNA are becoming a reality, thanks to the work of U.S. and Chinese scientists who developed statistical models to predict which drug is best for a specific individual with a specific disease.

Related Articles


"Traditional medicine doesn't consider mechanistic drug response," said Rongling Wu, director of the Center for Statistical Genetics and professor of public health sciences within the division of biostatistics and bioinformatics at the Penn State College of Medicine. "We want to look at how an individual person responds to an individual drug by deriving and using sophisticated mathematical models, such as differential equations."

The current method of prescribing medication now sometimes includes a pharmacogenomic approach, but researchers recognize the limitation of this approach in predicting a response to a particular drug and dosage combination.

Pharmacogenomics uses a person's genes to explain the difference between how one person responds to a drug compared to another. The team's equations take this field one step further by also including information about how the body processes a drug and how the drug acts in the body.

Wu focused on the big picture by studying drug response and drug reaction. In particular, the team looked at pharmacokinetics, which influences the concentration of a drug reaching its target, and pharmacodynamics, which determines the drug response. Metabolic, environmental and developmental factors also play a role in medication response.

The researchers created a statistical analysis framework of differential equations that they expect will help doctors and pharmacists, by simulating such variables as protein-protein and protein-DNA interactions a drug has in a patient. The framework characterizes a drug's absorption, distribution and elimination properties, yielding information on pharmacological targets, physiological pathways and, ultimately, disease systems in patients, resulting in predictions of treatment effectiveness.

"The results from this framework will facilitate the quantitative prediction of the responses of individual subjects as well as the design of optimal drug treatments," the researchers noted in a recent special issue of Advanced Drug Discovery Reviews.

This framework will expand to shed light on the variability of drug response based on information the medical community continues to gather about how an individual responds to a particular drug and dose combination. The information collected is then combined with information about the patient's genes, proteins and metabolism to help determine what drug and dose might be best for that person.

"If we know how genes control drug response, we can create a statistical model that shows us what will happen before using the drug," said Wu, who is also a member of Penn State's Huck Institutes of the Life Sciences. This means a future with more effective medications, faster healing and fewer side effects. "That is our final goal," Wu said.

Working with Wu were Yaqun Wang and Ningtao Wang, both graduate students in the Center for Statistical Genetics at Penn State; and Jianxin Wang, professor, information science, and Zhong Wang, computer scientist, both at the Center for Computational Biology at Beijing Forestry University.

The National Center for Advancing Translational Sciences of the National Institutes of Health supported this research.


Story Source:

The above story is based on materials provided by Penn State. The original article was written by Victoria M. Indivero. Note: Materials may be edited for content and length.


Journal Reference:

  1. Yaqun Wang, Ningtao Wang, Jianxin Wang, Zhong Wang, Rongling Wu. Delivering systems pharmacogenomics towards precision medicine through mathematics. Advanced Drug Delivery Reviews, 2013; 65 (7): 905 DOI: 10.1016/j.addr.2013.03.002

Cite This Page:

Penn State. "Mathematical models target disease with drugs chosen by your DNA." ScienceDaily. ScienceDaily, 16 July 2013. <www.sciencedaily.com/releases/2013/07/130716120030.htm>.
Penn State. (2013, July 16). Mathematical models target disease with drugs chosen by your DNA. ScienceDaily. Retrieved November 24, 2014 from www.sciencedaily.com/releases/2013/07/130716120030.htm
Penn State. "Mathematical models target disease with drugs chosen by your DNA." ScienceDaily. www.sciencedaily.com/releases/2013/07/130716120030.htm (accessed November 24, 2014).

Share This


More From ScienceDaily



More Health & Medicine News

Monday, November 24, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Are Female Bosses More Likely To Be Depressed?

Are Female Bosses More Likely To Be Depressed?

Newsy (Nov. 24, 2014) A new study links greater authority with increased depressive symptoms among women in the workplace. Video provided by Newsy
Powered by NewsLook.com
Winter Can Cause Depression — Here's How To Combat It

Winter Can Cause Depression — Here's How To Combat It

Newsy (Nov. 23, 2014) Millions of American suffer from seasonal depression every year. It can lead to adverse health effects, but there are ways to ease symptoms. Video provided by Newsy
Powered by NewsLook.com
Ebola-Hit Sierra Leone's Late Cocoa Leaves Bitter Taste

Ebola-Hit Sierra Leone's Late Cocoa Leaves Bitter Taste

AFP (Nov. 23, 2014) The arable district of Kenema in Sierra Leone -- at the centre of the Ebola outbreak in May -- has been under quarantine for three months as the cocoa harvest comes in. Duration: 01:32 Video provided by AFP
Powered by NewsLook.com
Don't Fall For Flu Shot Myths

Don't Fall For Flu Shot Myths

Newsy (Nov. 23, 2014) Misconceptions abound when it comes to your annual flu shot. Medical experts say most people older than 6 months should get the shot. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Health & Medicine

Mind & Brain

Living & Well

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins