Metabolic Fingerprinting of Autism Spectrum Disorders in Breath by Mass Spectrom...
Current diagnosis of individuals suffering from disorders on the autism spectrum is based on behavioural and developmental observations, usually in their early life. Even so, there is a significant amount of people having to live...
Current diagnosis of individuals suffering from disorders on the autism spectrum is based on behavioural and developmental observations, usually in their early life. Even so, there is a significant amount of people having to live with these life-long disorders that remain undetected and no treatment is provided to them. However, it is already established that such disorders are associated with metabolic changes. There is now a growing amount of evidence suggesting that such metabolic
alterations can be detected in samples such as blood or urine taken from children early in their life. These routines however can cause significant discomfort to the child.
The primary aim of the proposal will involve the use of less invasive sampling techniques such as exhaled breath and exhaled breath condensate for the early diagnosis of metabolic hallmarks of autism spectrum disorders. These samples will be analysed using already established chemical analysis techniques for the detection of small metabolic changes in the obtained samples. Tandem mass spectrometry techniques will be used for the unambiguous identification of these metabolites. Data analysis tools such as principal component analysis (PCA) and hierarchical clustering will be used, to associate these metabolic changes with existing medical records obtained from the patients, to establish a potential diagnostic tool.
The potential for the rapid detection of these metabolites will be examined through the integration of novel ambient mass spectrometric ionisation methods such as plasma ionisation. The ability to selectively ionise specific metabolites associated with autism will be investigated with the aim of generating an early prototype of a rapid screening method for routine use. Data generated during the initial stage of the work will be used to create a database that will be used for near real-time
characterisation of the exhaled breath through the analysis of metabolites and volatile organic compounds (VOCs).ver más
Seleccionando "Aceptar todas las cookies" acepta el uso de cookies para ayudarnos a brindarle una mejor experiencia de usuario y para analizar el uso del sitio web. Al hacer clic en "Ajustar tus preferencias" puede elegir qué cookies permitir. Solo las cookies esenciales son necesarias para el correcto funcionamiento de nuestro sitio web y no se pueden rechazar.
Cookie settings
Nuestro sitio web almacena cuatro tipos de cookies. En cualquier momento puede elegir qué cookies acepta y cuáles rechaza. Puede obtener más información sobre qué son las cookies y qué tipos de cookies almacenamos en nuestra Política de cookies.
Son necesarias por razones técnicas. Sin ellas, este sitio web podría no funcionar correctamente.
Son necesarias para una funcionalidad específica en el sitio web. Sin ellos, algunas características pueden estar deshabilitadas.
Nos permite analizar el uso del sitio web y mejorar la experiencia del visitante.
Nos permite personalizar su experiencia y enviarle contenido y ofertas relevantes, en este sitio web y en otros sitios web.