Research published today in Nature demonstrates the new ‘pharmaco-metabonomic’ approach that uses a combination of advanced chemical analysis and mathematical modelling to predict drug-induced responses in individual patients. The method is based on analysis of the body’s normal metabolic products, metabolites, and metabolite patterns that are characteristic of the individual. The authors hypothesize that these individual patterns can be used to diagnose diseases, predict an individual’s future illnesses, and their responses to treatments.
Not all drugs are effective in all patients and in rare cases adverse drug reactions can occur in susceptible individuals. To address this, researchers from Imperial College and Pfizer have been exploring new methods for profiling individuals prior to drug therapy. The new approach, if successful, requires the analysis of the metabolite profiles of an individual from a urine, or other biofluid, sample.
The researchers tested their approach by administering paracetamol to rats and measuring how it affected their livers and how it was excreted. Before giving the dose they measured the levels of the natural metabolites in the rats’ urine. Metabolites being small molecules produced by normal body functions, they can indicate a body’s drug response. After creating a ‘pre-dose urinary profile’ for each rat, the researchers used computer modelling to relate the nature of the pre-dose metabolite profile to the nature of the post-dose response.
Professor Jeremy Nicholson, from Imperial College London, who led the research, says: “This new technique is potentially of huge importance to the future of healthcare and the pharmaceutical industry. The ‘pharmaco-metabonomic’ approach is able to account for genetic as well as many environmental factors, and other important contributors to individual health such as the gut microfloral activity. These factors strongly influence how an individual absorbs and processes a drug and also influence their individual metabolism, making this new approach the first step towards the development of more personalised healthcare for large numbers of patients.”
The discovery of this new technology for predicting responses to drugs, which is not limited to individual genetic differences, will hopefully be a key component in the pharmaceutical industry’s aim to understand how patients might benefit from more individualised therapies. The new method is expected to be synergistic with existing pharmacogenomic approaches.
The new methodology is in early stage of development and will be studied in humans to evaluate its possible clinical application. The researchers hope this new technique might one day allow doctors to personalise drug treatments for some individuals, providing physicians with the ability to prescribe medicines that will be most effective for certain patient groups, and at a tailored dose-range for maximum efficacy and safety.
Tony Stephenson | alfa
Repairing damaged hearts with self-healing heart cells
22.08.2017 | National University Health System
Biochemical 'fingerprints' reveal diabetes progression
22.08.2017 | Umea University
Whether you call it effervescent, fizzy, or sparkling, carbonated water is making a comeback as a beverage. Aside from quenching thirst, researchers at the University of Illinois at Urbana-Champaign have discovered a new use for these "bubbly" concoctions that will have major impact on the manufacturer of the world's thinnest, flattest, and one most useful materials -- graphene.
As graphene's popularity grows as an advanced "wonder" material, the speed and quality at which it can be manufactured will be paramount. With that in mind,...
Physicists at the University of Bonn have managed to create optical hollows and more complex patterns into which the light of a Bose-Einstein condensate flows. The creation of such highly low-loss structures for light is a prerequisite for complex light circuits, such as for quantum information processing for a new generation of computers. The researchers are now presenting their results in the journal Nature Photonics.
Light particles (photons) occur as tiny, indivisible portions. Many thousands of these light portions can be merged to form a single super-photon if they are...
For the first time, scientists have shown that circular RNA is linked to brain function. When a RNA molecule called Cdr1as was deleted from the genome of mice, the animals had problems filtering out unnecessary information – like patients suffering from neuropsychiatric disorders.
While hundreds of circular RNAs (circRNAs) are abundant in mammalian brains, one big question has remained unanswered: What are they actually good for? In the...
An experimental small satellite has successfully collected and delivered data on a key measurement for predicting changes in Earth's climate.
The Radiometer Assessment using Vertically Aligned Nanotubes (RAVAN) CubeSat was launched into low-Earth orbit on Nov. 11, 2016, in order to test new...
A study led by scientists of the Max Planck Institute for the Structure and Dynamics of Matter (MPSD) at the Center for Free-Electron Laser Science in Hamburg presents evidence of the coexistence of superconductivity and “charge-density-waves” in compounds of the poorly-studied family of bismuthates. This observation opens up new perspectives for a deeper understanding of the phenomenon of high-temperature superconductivity, a topic which is at the core of condensed matter research since more than 30 years. The paper by Nicoletti et al has been published in the PNAS.
Since the beginning of the 20th century, superconductivity had been observed in some metals at temperatures only a few degrees above the absolute zero (minus...
16.08.2017 | Event News
04.08.2017 | Event News
26.07.2017 | Event News
22.08.2017 | Health and Medicine
22.08.2017 | Materials Sciences
22.08.2017 | Life Sciences