Researchers at Mount Sinai Medical School recently discovered genes which are more highly expressed in individuals with post-treatment Lyme Disease. The group sequenced RNA collected from blood samples of people with Lyme Disease compared with a control of those without it. The study compared RNA of 152 individuals with post-treatment Lyme Disease, 72 with acute Lyme Disease, and 44 uninfected controls. The study identified 35 genes, which could potentially be used as biomarkers to diagnose the condition. Further research is being conducted to develop a gene panel for diagnostic testing, and to apply the same methodology to other diseases.
I found this article interesting, particularly to see how this method is applied in the future. The study used an artificial intelligence technology to analyze the data and determine expressed genes. I am interested to see how the technology advances, and what other improvements could be made in healthcare from this discovery.
Lyme disease can be difficult to diagnose, in so I believe that using AI technology to find expressed genes in the disease is very progressive. I think that this can lead to a much more reliable diagnosis of Lyme disease rather than external conditions of the patient. It can also lead to better management of the disease.
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