UK-Korea Consortium: Establishing Precision Medicine in severe asthma
In plain English
AI plain-English summaryA blood test or a breath sample could soon tell doctors which severe asthma patients will benefit from antibody treatments—and which need a different approach entirely. Severe asthma affects people whose symptoms do not respond to standard inhalers. Current antibody treatments, such as those targeting IL-5 or IL-4 receptors, work well for some patients but not others. Doctors have no reliable way to predict who will respond, so many patients try treatments that do not help them, while others miss out on therapies that could work. This project aims to solve that by classifying patients based on the molecular signatures of their disease—using genes and proteins measured in blood or exhaled breath—to match each person to the treatment most likely to control their asthma. If successful, this approach could transform severe asthma from a trial-and-error condition into one where treatment is chosen with precision from the start. Patients would gain better symptom control and avoid ineffective drugs. The researchers also note that this is the first time such molecular classification has been attempted in asthma or any chronic disease. If it works, the same precision-medicine framework could be extended to other respiratory and non-respiratory conditions, potentially improving care for a much wider group of patients.
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