Meta-analysis reveals differential gene expression in tetralogy of Fallot versus controls.
Sarah Mae VoskampMaya Alexis HammondsThomas M KnappAshley L PekmezianDexter HadleyJennifer S NelsonPublished in: Birth defects research (2023)
We introduced the interpretation of open "big data" using the STARGEO platform to define robust genomic signatures of congenital heart disease pathology of TOF. Overall, our meta-analysis results indicated increased metabolism, inflammation, and altered gene expression in TOF patients. Estrogen receptor signaling and the role of NFAT in cardiac hypertrophy represent unique pathways upregulated in TOF patients and are potential targets for future pharmacologic treatments.
Keyphrases
- gene expression
- systematic review
- end stage renal disease
- big data
- congenital heart disease
- mass spectrometry
- ejection fraction
- chronic kidney disease
- newly diagnosed
- peritoneal dialysis
- artificial intelligence
- machine learning
- oxidative stress
- randomized controlled trial
- high throughput
- patient reported outcomes
- risk assessment
- climate change
- meta analyses
- genome wide
- case control
- estrogen receptor
- nuclear factor