Researchers from the Peter Duhreti Institute of infection and Immunology claim that they are the first to prove the use of genome sequence in tracking and receiving rapid visions of bacterial changes during severe infections.
They have studied patients with severe and frequent infections with them Staphylococci Or “golden curs”. The deadly bacteria, responsible for more than a million deaths worldwide every year, can cause poisoning, pneumonia, bone infections, joints and endocarditis. In addition, it can adapt quickly and become resistant to most antibiotics.
Results
In them TicketThe bacterial genome researchers, with the support of the apparent test, to help doctors determine the cause of treatment failure S. Aureus Infections and possibly direct rescue treatments. The genome sequence provides a complete genetic image of bacteria, including the features that affect its response to treatment.
Through this, They found that a third of the cases had chosen the crushing staphylococcus a dangerous mutation that made the treatment to fail.
The main author, Dr. Stefano Gulbei, participated in the event that the bacteria became 80 times more resistant to pre -managed antibiotics.
“Every time they returned to appear in the blood, the bacteria had taken a new dangerous mutation,” the Duhri Institute quoted it as saying in a statement. Dr. Juliri is an infectious pathologist and researcher at the Duhri Institute.
The clinical team was able to change the patient’s treatment based on genetic information and finally infection treatment.
“Our study is the first to show that by tracking bacterial development in the actual time, the genome sequence can reveal the tricks that bacteria use to survive, giving doctors the ability to stay one step forward and treatment for the specified bacterial dynasty. This helps to avoid unnecessary treatments” Dr Giuliieri “.
The study also surveyed 25 global infectious diseases who classified their new approach as “very useful”.
“The ability to track bacterial development in actual time during severe infections is a changing doctors for doctors,” said Eugene Athan, one of the poll participants, reconnaissance professor and consultant for infectious diseases at Gilong University Hospital.
Meanwhile, the study also noted two possible major barriers to implementing genetic investigations into severe bacterial infections: the additional cost of sequence and time delivery for the results.
In their studies, the cost of highly productive genetic sequence was about $ 584 or about 370 dollars, which is twice the cost of the full bacteria (WGS) at $ 194. The time of their laboratory was at least five and seven days.
“Future studies must compare the relative accuracy, costs, short and long -term sequence times for reading for this type of analysis,” they suggested.
The Doherty Institute worked with seven major hospitals in Victoria in their research: Austin Health, East Health, Royal Melbourne Hospital, Alfred Health, Western Health, Jelong University Hospital and Beningo Health.
Why do it matter
Bacterial genomic genome rarely find its way in clinical environments, given relatively long transformation times to treat acute infections and light evidence on the effect of bacterial genetic factors on clinical results. To date, bacterial development studies have been conducted only retroactively.
However, the high accuracy of the bacterial genome sequence provides accurate properties of individual bacterial strains in the patient, which can teach the management of microscopic infectious diseases.
The DOHERTY Institute’s study showed how it analyzes the apparent pattern and Jeneum “providing additional information that cannot be easily concluded from the clinical context and routine microbiological data, including the genetic relationship and adaptive mutations.”
“These results are a major step towards the targeted treatment of bacterial infection and opens the door to future clinical trials that can make this approach to the usual practice in hospitals around the world,” Benjamin Hoden, Professor of Melbourne University and Director of Microbiological Diagnostic Unit, also claimed the public health laboratory at the Duhriti Institute.
The DOHERTY Institute now explores the addition of a new service based on the genetic sequence through the public health laboratory for severe bacterial infections where treatment has failed.
The biggest direction
Alfred, one of the Duhreti Institute’s partners in their studies, and the University of Monash, is also developing a system that also integrates genetic data, EHR, and AI to track early cases of antimicrobial resistance (AMR) and predict the potential results of the treatment of superpowers.
The automatic alert system was also tested for the lack of matching bacteria and its application at Prince Charles Hospital in Queensland, which supports the antimicrobial supervision program.
Outside Australia, hospitals in Singapore and Taiwan have also created memory powered systems to prevent and treat potential Amr cases. Singapore General HospitalThe artificial intelligence model uses clinical data to review and evaluate cases of pneumonia and support a better antibiotic recipe at the care point. During, China University Medical HospitalThe AI antimicrobial platform is characterized by four functions: it defines drug -resistant breeds, expects and monitors the risk of infection and infectious deaths, provides recommendations of a smart drug dose, and automatically compares drug drug reactions and an allergic history.
