Featured Research

from universities, journals, and other organizations

HIV: Predicting treatment response more accurately

Date:
September 2, 2013
Source:
Schweizerischer Nationalfonds zur Foerderung der wissenschaftlichen Forschung
Summary:
HIV is feared, not least, because of its great adaptability. If the virus mutates at precisely the point targeted by a drug, it is able to neutralize the attack and the treatment fails. To minimize these viral defense mechanisms, doctors treat patients with modern combination therapies involving the simultaneous administration of several drugs. This approach forces the virus to run through a series of mutations before it becomes immune to the drugs.

The HI virus is feared, not least, because of its great adaptability. If the virus mutates at precisely the point targeted by a drug, it is able to neutralise the attack and the treatment fails. To minimise these viral defence mechanisms, doctors treat patients with modern combination therapies involving the simultaneous administration of several drugs. This approach forces the virus to run through a series of mutations before it becomes immune to the drugs.

Sequential nature of mutations

"It is not easy to decide which of the over 30 combination therapies is best suited to a patient," says Huldrych Günthard from Zurich University Hospital, president of the Swiss HIV Cohort Study. The decision is based on the prospects of success and therefore on the genetic make-up of a particular virus. The established prediction models already consider the genetics of the virus but they neglect that the virus continuously evolves through sequential mutations.

Choosing the right therapy for each patient

In cooperation with the Swiss HIV Cohort Study, Niko Beerenwinkel and his team from ETH Zurich have now developed a more accurate prediction model based on a probabilistic method. This model calculates the possible evolutionary paths of the virus and yields a new predictive measure for the development of resistances: the so-called individualised genetic barrier. When applied retrospectively to 2185 patients of the HIV Cohort, the new approach made it possible to predict treatment success more accurately compared to the existing models. "We are now introducing the individualised genetic barrier in a pilot project and hope that it will help us in the future to identify the best therapy for each patient," says Günthard.

The Swiss HIV Cohort Study

Established in 1988, the Cohort Study aims to generate knowledge about HIV infection and AIDS as well as to improve the care given to patients. All Swiss hospitals specialising in HIV (Basel, Berne, Geneva, Lausanne, Lugano, St. Gallen and Zurich) have collected and analysed data from over 18,000 HIV-positive persons. More than 8,800 persons are currently taking part in the Swiss HIV Cohort Study. Almost a third of them are women.


Story Source:

The above story is based on materials provided by Schweizerischer Nationalfonds zur Foerderung der wissenschaftlichen Forschung. Note: Materials may be edited for content and length.


Journal Reference:

  1. Niko Beerenwinkel, Hesam Montazeri, Heike Schuhmacher, Patrick Knupfer, Viktor von Wyl, Hansjakob Furrer, Manuel Battegay, Bernard Hirschel, Matthias Cavassini, Pietro Vernazza, Enos Bernasconi, Sabine Yerly, Jürg Böni, Thomas Klimkait, Cristina Cellerai, Huldrych F. Günthard. The Individualized Genetic Barrier Predicts Treatment Response in a Large Cohort of HIV-1 Infected Patients. PLoS Computational Biology, 2013; 9 (8): e1003203 DOI: 10.1371/journal.pcbi.1003203

Cite This Page:

Schweizerischer Nationalfonds zur Foerderung der wissenschaftlichen Forschung. "HIV: Predicting treatment response more accurately." ScienceDaily. ScienceDaily, 2 September 2013. <www.sciencedaily.com/releases/2013/09/130902101526.htm>.
Schweizerischer Nationalfonds zur Foerderung der wissenschaftlichen Forschung. (2013, September 2). HIV: Predicting treatment response more accurately. ScienceDaily. Retrieved July 28, 2014 from www.sciencedaily.com/releases/2013/09/130902101526.htm
Schweizerischer Nationalfonds zur Foerderung der wissenschaftlichen Forschung. "HIV: Predicting treatment response more accurately." ScienceDaily. www.sciencedaily.com/releases/2013/09/130902101526.htm (accessed July 28, 2014).

Share This




More Health & Medicine News

Monday, July 28, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Traditional African Dishes Teach Healthy Eating

Traditional African Dishes Teach Healthy Eating

AP (July 28, 2014) — Classes are being offered nationwide to encourage African Americans to learn about cooking fresh foods based on traditional African cuisine. The program is trying to combat obesity, heart disease and other ailments often linked to diet. (July 28) Video provided by AP
Powered by NewsLook.com
West Africa Gripped by Deadly Ebola Outbreak

West Africa Gripped by Deadly Ebola Outbreak

AFP (July 28, 2014) — The worst-ever outbreak of the deadly Ebola epidemic grips west Africa, killing hundreds. Duration: 00:48 Video provided by AFP
Powered by NewsLook.com
Trees Could Save More Than 850 Lives Each Year

Trees Could Save More Than 850 Lives Each Year

Newsy (July 27, 2014) — A national study conducted by the USDA Forest Service found that trees collectively save more than 850 lives on an annual basis. Video provided by Newsy
Powered by NewsLook.com
Google's Next Frontier: The Human Body

Google's Next Frontier: The Human Body

Newsy (July 27, 2014) — Google is collecting genetic and molecular information to paint a picture of the perfectly healthy human. 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:
from the past week

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