Pro-angiogenic Cytokine Features for Left Ventricular Remodeling in Patients with Bicuspid Aortic Valve.

BACKGROUND: Bicuspid aortic valve (BAV) is prone to promote the occurrence of left ventricular remodeling (LVR) which is associated with adverse clinical outcomes. Although the association between angiogenic activity and LVR has been established, pro-angiogenic cytokine features and potential biomarker candidates for LVR in BAV patients remain to be clarified. METHODS: From November 2018 to May 2019, BAV patients diagnosed by transthoracic echocardiography at our institution were included. LVR was diagnosed based on echocardiographic calculations of relative wall thickness (RWT) and left ventricular mass index (LVMI). A multiplex ELISA array was used to measure the plasma levels of 60 angiogenesis-related cytokines. RESULTS: Among 103 BAV patients, 71 were categorized into LVR group and 32 into normal LV geometry group. BAV patients with LVR demonstrated increased LVMI, elevated prevalence of moderate to severe aortic stenosis and aortic regurgitation, and decreased left ventricular ejection fraction (LVEF). Plasma level of Angiopoietin-1 was elevated in BAV patients with or without LVR compared to healthy controls (P = 0.001, P < 0.001, respectively) and was negatively correlated with RWT (r = -0.222, P = 0.027). Plasma level of Angiopoietin-2 was elevated in the LVR group (P = 0.001) compared to normal LV geometry group and was negatively correlated with LVEF (r = -0.330, P = 0.002). CONCLUSION: Decreased angiogenesis plays a crucial role in the occurrence and progression of LVR in BAV patients. Disturbance in the pro- and anti-angiogensis equilibrium in BAV patients with LVR may reflect the aggravation of endothelial injury and dysfunction.

Left ventricular myocardial work for the prediction of postoperative outcomes in patients with bicuspid aortic stenosis.

Chronic elevation of left ventricular (LV) afterload contributes to adverse LV remodeling and myocardial impairment in bicuspid aortic valve (BAV) patients with severe aortic stenosis (AS). Incorporating LV afterload into global longitudinal strain (GLS) analysis, myocardial work facilitates early detection of LV dysfunction. The present study was to evaluate myocardial work in BAV patients with severe AS undergoing surgical aortic valve replacement (SAVR) and to evaluate its prognostic impact on early postoperative outcomes. Between January 2021 and March 2022, BAV patients with severe AS scheduled for SAVR were included and underwent comprehensive transthoracic echocardiography. Quantification of LV myocardial work was performed to obtain LV global work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE). Clinical outcome was defined as a composite of major cardiovascular events including mortality, myocardial infarction, stroke, acute kidney injury, low cardiac output syndrome and vascular complications during hospitalization or within 30 days after operation. Among 103 BAV patients with severe AS undergoing SAVR (mean age of 65 ± 9 years, 57.3% male), 22 experienced postoperative major cardiovascular events. BAV patients with major cardiovascular events demonstrated lower LV GWI (P < 0.001) and GCW (P = 0.002) along with elder age (P = 0.030), decreased LVGLS (P = 0.026) and right ventricular longitudinal strain (P = 0.019), and higher prevalence of abnormal average E/e' ratio (P = 0.029) than those without major events. Decreased LV GWI and GCW was independently associated with the occurrence of major cardiovascular events (P < 0.01 for adjusted OR). Multivariable logistic regression model including LV GWI demonstrated superior power than the model including LVGLS and yielded best discrimination for BAV patients with and without major cardiovascular events during early postoperative period. Echocardiography-based LV myocardial work overcomes the limitations of LVGLS and presents as a promising novel index for the early detection of functional myocardial damage and the optimization of intervention timing among BAV patients with severe AS.

Mendelian randomization indicates that atopic dermatitis contributes to the occurrence of diabetes.

BACKGROUND: An association has been indicated between atopic dermatitis (AD), a prevalent chronic inflammatory skin disease, and diabetes mellitus. However, the exact causal relationship between AD and both type 1 diabetes (T1D) and type 2 diabetes (T2D) remains controversial. This study aimed to explore the causal association between AD and diabetes by Mendelian Randomization (MR) approaches. METHODS: Public genetic summary data for AD was obtained from EAGLE study. Single nucleotide polymorphisms of diabetes were retrieved from four genome-wide association studies that had been performed in European populations. Inverse variance weighted (IVW) in MR analysis was used as the primary means of causality estimation. Several complementary analyses and sensitivity analyses were performed to calculate MR estimates and to enhance the causal inference, respectively. The R package 'TwoSampleMR' was used for analysis. RESULTS: Genetically predicted AD led to a higher risk of T1D (OR, 1.19; 95% CI, 1.05, 1.34; P = 0.006) and T2D (OR, 1.07; 95% CI, 1.02, 1.11; P = 0.003) based on random-effect IVW method. The complementary analyses provided similar positive results. Cochran's Q test and I2 statistics indicated moderate heterogeneity between AD and both T1D and T2D. No significant horizontal pleiotropy was detected by MR-Egger Intercept p except summary data from FinnGen consortium. CONCLUSION: Genetically predicted AD is a risk factor for both T1D and T2D. These findings imply potential shared pathological mechanisms between AD and diabetes, thus suggesting the significance of early clinical diagnosis and prevention of AD in reducing the incidence of diabetes.