We aimed to explore the effect of PCSK9 inhibitor based on the background of statin on carotid intraplaque neovascularization (IPN) assessed by serial contrast-enhanced ultrasound (CEUS) analysis in Chinese patients with premature coronary artery disease (PCAD). 41 patients were included to receive treatments with biweekly evolocumab (n = 22) or placebo (n = 19) in addition to statin therapy for 52 weeks. All patients were newly diagnosed with PCAD and treatments were initiated at baseline of the observations. Baseline and 52-week CEUS were acquired to measure the max plaque height (MPH) and IPN. The primary outcome was the 52-week IPN changes, the secondary endpoints included the 52-week MPH changes and major adverse cardiovascular events. The mean ± SD age of the participants was 46.76 ± 8.56 years, and 61% (25/41) of patients were on statins before the start of the study. There was no statistically significant difference in the history of statins treatment and the initiated lipid-lowering therapy of atorvastatin and rosuvastatin between groups (p > 0.05). At 52 weeks, the evolocumab group showed a lower LDL level (0.84 ± 0.45 mmol/L vs. 1.58 ± 0.51 mmol/L, p < 0.001) and a greater decrease in percent reduction of LDL-C level (-65% vs. -32%) and a higher percent of achieving lipid-lowering target (95% vs. 53%, p < 0.05) compared with the placebo group. At 52 weeks, IPN (evolocumab group: 0.50 ± 0.60 vs. 1.50 ± 0.80, p < 0.001; placebo group: 0.79 ± 0.54 vs. 1.26 ± 0.65, p < 0.05) and MPH (evolocumab group: 2.01 ± 0.44 mm vs. 2.57 ± 0.90 mm, p < 0.05, placebo group: 2.21 ± 0.58 mm vs. 2.92 ± 0.86 mm, p < 0.05) reduced significantly in both groups from baseline to 52-week follow-up. IPN and MPH were decreased by both treatments. Still, there was no significant difference in delta (52 weeks - baseline) MPH by an ANOVA analysis between the two groups [evolocumab group: -0.56 mm (2.01 mm-2.57 mm); placebo group: -0.71 mm (2.21 mm-2.92 mm), p > 0.05]. In the evolocumab group, the change in the mean reduction of IPN from baseline [-1.00 (0.50-1.50) vs. -0.47 (0.79-1.26), p < 0.05] and the incidence of patients with carotid IPN decrease were significantly greater reduction (90% vs. 58%, p < 0.05). If compared to placebo, the PCSK9 inhibitor evolocumab combined with statins resulted in a greater decrease in LDL-C and plaque neovascularization in Chinese patients with PCAD.

Background: Statin treatment can reduce atherosclerotic plaque as detected via invasive intracoronary methods. However, few studies have evaluated the effect of moderate-intensity statin therapy on carotid intraplaque neovascularization (IPN) using semiquantitative indices. This study thus aimed to assess the effect of statin on the carotid IPN of coronary artery disease with contrast-enhanced ultrasound (CEUS). Methods: In this noncontrol, retrospective, cohort study, 35 inpatients who underwent coronary angiography, serial CEUS, and laboratory evaluations were consecutively enrolled from June 2020 to December 2022 at the Department of Cardiology, Chinese PLA General Hospital. All patients were administered moderate-intensity statin during serial CEUS, and continuous and categorical assessment of IPN and maximum plaque height (MPH) of carotid plaque was performed. Patients with a target low-density lipoprotein cholesterol (LDL-C) <1.8 mmol/L at 12-month follow-up were compared with those who did not reach the LDL-C 1.8 mmol/L target. Results: From baseline to 12-month follow-up, there were significant differences in the LDL-C levels between patients (2.71±1.29 vs. 1.35±0.83 mmol/L), those with 12-month follow-up LDL-C <1.8 mmol/L (2.58±1.24 vs. 1.08±0.52 mmol/L), and those with 12-month follow-up LDL-C ≥1.8 mmol/L (3.24±1.44 vs. 2.56±0.85 mmol/L) all P values <0.05, with decreases of 41%, 49%, and 11% from baseline, respectively. The mean MPH (12 months to baseline) decreased from 2.47±0.63 to 2.22±0.60 mm (P<0.05), and the IPN also decreased from 1.15±0.62 to 0.58±0.56, representing a reduction of 0.57±0.59 from baseline (P<0.001). In the LDL-C <1.8 mmol/L patients, there were significant differences between baseline and 12 months in MPH (2.37±0.56 vs. 2.03±0.52 mm; P<0.05) and IPN (1.32±0.77 vs. 0.54±0.63; P<0.05) compared with those with a follow-up LDL-C ≥1.8 mmol/L. Patients with a follow-up LDL-C <1.8 mmol/L, compared with those with a follow-up LDL-C ≥1.8 mmol/L, showed a significantly greater reduction in MPH (−0.34±0.46 vs. −0.13±0.39; P<0.05) and IPN (−0.79±0.63 vs. −0.57±0.79; P<0.05). Additionally, patients with carotid IPN regression showed a higher percent change in LDL-C compared with those without carotid IPN regression (−53.31±23.20 vs. −29.55±19.47; P<0.05). Conclusions: Controlling the LDL-C to <1.8 mmol/L under moderate-intensity statin can stabilize and reduce carotid IPN as detected by the semiquantitative noninvasive CEUS.

Background With conflicting findings in observational studies, the efficacy of metformin in improving heart failure outcomes remains inconclusive. This study employs a two-sample Mendelian randomization design, using AMP-activated protein kinase (AMPK) and growth differentiation factor 15 (GDF-15) as pharmacological targets of metformin, to simulate impact of metformin use on heart failure outcomes. Methods The exposure factors AMPK and GDF-15 data used in this study were sourced from large genome-wide association study meta-analyses. 40 single-nucleotide polymorphisms (SNPs) were utilized as instrumental variables for AMPK, while 4 SNPs were employed as instrumental variables for GDF-15. The heart failure outcome data were extracted from the largest genome-wide association study meta-analyses, encompassing 977,323 participants of European descent. The primary method for MR analysis was the inverse-variance weighted method. Additionally, sensitivity analyses were conducted using the weighted median, MR-Egger, simple mode, and weighted mode methods to assess result robustness. Results Genetically predicted AMPK (OR: 1.22; 95% CI: 0.81–1.86, P = 0.34) and genetically predicted GDF-15 (OR: 1.01; 95% CI: 0.97–1.05; P = 0.57) were not found to have a causal association with the risk of HF. Conclusion No convincing evidence supports that metformin reduces the risk of heart failure by activating the AMPK pathway or increasing GDF-15 expression. Further investigation is needed to explore whether metformin can mitigate heart failure -related risks through alternative pathways or biological mechanisms.