RESEARCH

Cristina

Legido-Quigley

Lab

RESEARCH HIGHLIGHTS

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RESEARCH

Our research is at the interface between chemistry and medicine and we are experts in biotechnology and the use of data science to allow the detection of thousands of small molecules / lipids in order to understand the underlying biology in disease. We can get molecular data with mass spectrometry instruments and perform data analytics, including machine learning, to understand this biology. In order to translate results into the clinic we also work with clinical trials and biomarker evidence portfolios for EMA approval. This field of research can be called systems medicine, because it integrates -omic data and clinical data together to understand health.

PUBLICATIONS

Neuro & Metabolic Clinical Biomarkers

The EMIF-AD was a highly succesful consortium investigating dementia. Here we found new molecules that related to lack of sleep & dementia. We are using AI on the data to design diagnostics. (2019)

In this work we showed how most fatty acids in the brain were in depleted levels as Alzheimer's Dementia was progressing. Two omega fatty acids showed opposite trends with dementia. (2017)

In collaboration with NIH we showed how sugar was linked to risk of dementia symptoms in later live. This work has a follow up study looking in detail into brain tissue metabolism. (2017)

DONORS & SPONSORS

We are very grateful for the samples that volunteers and donors give us and make our research possible.

As well, we thank all our collaborators and the sponsors that fund our research.