Thymic Atrophy and Immune Dysregulation in Infants with Complex Congenital Heart Disease.
Sarah-Jolan BremerAnnika BoxnickLaura GlauDaniel BiermannSimon A JoosseFriederike ThieleElena BillebJonathan MayManuela KolsterRomy HackbuschMats Ingmar FortmannRainer Kozlik-FeldmannMichael HüblerEva TolosaJörg Siegmar SachwehAnna GierasPublished in: Journal of clinical immunology (2024)
Congenital heart disease (CHD) is the most common birth defect, and up to 50% of infants with CHD require cardiovascular surgery early in life. Current clinical practice often involves thymus resection during cardiac surgery, detrimentally affecting T-cell immunity. However, epidemiological data indicate that CHD patients face an elevated risk for infections and immune-mediated diseases, independent of thymectomy. Hence, we examined whether the cardiac defect impacts thymus function in individuals with CHD. We investigated thymocyte development in 58 infants categorized by CHD complexity. To assess the relationship between CHD complexity and thymic function, we analyzed T-cell development, thymic output, and biomarkers linked to cardiac defects, stress, or inflammation. Patients with highly complex CHD exhibit thymic atrophy, resulting in low frequencies of recent thymic emigrants in peripheral blood, even prior to thymectomy. Elevated plasma cortisol levels were detected in all CHD patients, while high NT-proBNP and IL-6 levels were associated with thymic atrophy. Our findings reveal an association between complex CHD and thymic atrophy, resulting in reduced thymic output. Consequently, thymus preservation during cardiovascular surgery could significantly enhance immune function and the long-term health of CHD patients.
Keyphrases
- congenital heart disease
- end stage renal disease
- ejection fraction
- cardiac surgery
- newly diagnosed
- chronic kidney disease
- minimally invasive
- healthcare
- peritoneal dialysis
- clinical practice
- heart failure
- public health
- left ventricular
- prognostic factors
- patient reported outcomes
- oxidative stress
- machine learning
- acute kidney injury
- gene expression
- deep learning
- atrial fibrillation
- mass spectrometry
- artificial intelligence
- climate change
- gestational age
- acute coronary syndrome