Extreme phenotypes define epigenetic and metabolic signatures in cardiovascular diseases.
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ABSTRACT: Improving the understanding of cardiometabolic syndrome pathophysiology and its
relationship with thrombosis are ongoing healthcare challenges. Using plasma biomarkers
analysis coupled with the transcriptional and epigenetic characterisation of cell types
involved in thrombosis, obtained from two extreme phenotype groups (obese and
lipodystrophy) and comparing these to lean individuals and blood donors, the present study
identifies the molecular mechanisms at play, highlighting patterns of abnormal activation in
innate immune phagocytic cells and shows that extreme phenotype groups could be
distinguished from lean individuals, and from each other, across all data layers. The
characterisation of the same obese group, six months after bariatric surgery shows the loss of
the patterns of abnormal activation of innate immune cells previously observed. However,
rather than reverting to the gene expression landscape of lean individuals, this occurs via the
establishment of novel gene expression landscapes. Netosis and its control mechanisms
emerge amongst the pathways that show an improvement after surgical intervention. Taken
together, by integrating across data layers, the observed molecular and metabolic differences
form a disease signature that is able to discriminate, amongst the blood donors, those
individuals with a higher likelihood of having cardiometabolic syndrome, even when not
presenting with the classic features.
PROVIDER: EGAS00001003780 | EGA |
REPOSITORIES: EGA
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