About My Health Careers Internship MedBlogs Contact us
Medindia LOGIN REGISTER
Advertisement

Multi-target Treatment More Effective in Treating Sepsis

by Anjali Aryamvally on February 17, 2018 at 10:32 AM
Font : A-A+

Multi-target Treatment More Effective in Treating Sepsis

Efforts to combat sepsis can be more effective if multiple steps in the molecular processes that drive the illness are targeted, shows study by using a computational model of the human immune system. The study findings are published in the journal PLOS Computational Biology.

Sepsis is a dysregulation of the body's normal inflammatory response to injury and infection. People with sepsis may receive oxygen and intravenous fluids, as well as antibiotics to fight the underlying infection, but the condition kills 28 to 50 percent of affected patients. So far, drugs developed to attack the molecular processes that underpin sepsis have not shown clinical success.

Advertisement


To explore the molecular challenges of sepsis treatment, Chase Cockrell and Gary An of the University of Chicago employed a computational model of the human immune system, which they had previously developed specifically to investigate systemic inflammation. The model simulates how immune system cells and signaling molecules behave during sepsis, as well as the effects of disrupting various parts of these processes.

Using their model, the researchers showed that disrupting a single signaling process at a single point (or just a few points) in time would not be adequate to treat sepsis. This may explain why previous attempts that employed such a strategy have not been effective. Instead, the simulation showed, successful treatment would require drugs that frequently target multiple immune system processes.
Advertisement

The model also showed that a "one-size-fits-all" multi-target approach would still be inadequate, and true "precision medicine" would require a treatment to adapt itself based on each patient's individual response. The researchers concluded that computational modeling is necessary to generate the amount of data required by machine-learning algorithms to aid development of effective sepsis drugs.

"This project provides a reality check on how people are currently thinking about trying to treat sepsis at a drug-design level," Cockrell says. "It will hopefully help focus research into those areas that will actually provide a path towards effective therapy, such as high-resolution diagnostics and sampling, and realizing that there is no 'one-size-fits-all' answer."



Source: Eurekalert
Advertisement

Advertisement
News A-Z
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Advertisement
News Category
What's New on Medindia
Western Diet may Augment the Risk of Autoimmune Diseases
Black Tea Protects against Blood Pressure and Heart Diseases
Green Mediterranean Diet may Help Repair Age-Related Brain Damages
View all

Medindia Newsletters Subscribe to our Free Newsletters!
Terms & Conditions and Privacy Policy.

More News on:
Septicemia 

Recommended Reading
Septicemia
Septicemia or sepsis is a serious illness wherein a patient develops symptoms due to presence of ......
Chlorinated Lipids, a Predictor of Sepsis, Lung Injury and Death
Chlorinated lipids may be a causative agent for inflammation and is linked to lung injury and death ...
Macrophage Nanosponges Offer Solution to Treat Sepsis
Researchers have developed macrophage nanosponges that can safely absorb and remove molecules ......
Sepsis: A Deadly Killer in Intensive Care Units
55.7% of sepsis cases in intensive care units end in death resulting in more than 230,000 sepsis ......

Disclaimer - All information and content on this site are for information and educational purposes only. The information should not be used for either diagnosis or treatment or both for any health related problem or disease. Always seek the advice of a qualified physician for medical diagnosis and treatment. Full Disclaimer

© All Rights Reserved 1997 - 2022

This site uses cookies to deliver our services. By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Use
open close
ASK A DOCTOR ONLINE
I have read and I do accept terms of use - Telemedicine

Advantage Medindia: FREE subscription for 'Personalised Health & Wellness website with consultation' (Value Rs.300/-)