Apolipoprotein (Apo)-based mimetic peptides have been shown to reduce atherosclerosis. Most of the ApoC-II and ApoE mimetics exert anti-atherosclerotic effects by improving lipid profile. ApoC-II mimetics reverse hypertriglyceridemia and ApoE-based peptides such as Ac-hE18A-NH2 reduce cholesterol and triglyceride (TG) levels in humans. Conversely, other classes of ApoE and ApoA-I mimetic peptides and, more recently, ApoJ and LRP1-based peptides, exhibit several anti-atherosclerotic actions in experimental models without influencing lipoprotein profile. These other mimetic peptides display at least one atheroprotective mechanism such as providing LDL stability against mechanical modification or conferring protection against the action of lipolytic enzymes inducing LDL aggregation in the arterial intima. Other anti-atherosclerotic effects exerted by these peptides also include protection against foam cell formation and inflammation, and induction of reverse cholesterol transport. Although the underlying mechanisms of action are still poorly described, the recent findings suggest that these mimetics could confer atheroprotection by favorably influencing lipoprotein function rather than lipoprotein levels. Despite the promising results obtained with peptide mimetics, the assessment of their stability, atheroprotective efficacy and tissue targeted delivery are issues currently under progress.

Background: Increased epicardial adipose tissue (EAT) volume is a common feature in type 2 diabetes (T2DM) which is directly associated with heart failure and advanced atherosclerosis. We aimed to evaluate lipoprotein-related biomarkers of EAT volume in T2DM patients before and after glycemic control. Methods: This study included 36 T2DM patients before and after optimization of glycemic control and on 14 healthy controls (HCs). EAT volume was measured using computed tomography imaging indexed to the body surface area (iEAT). Biochemical and lipid profiles were determined using commercial methods. Lipoproteins were isolated by ultracentrifugation, and variables of lipoprotein function were assessed. Multivariable regression analysis was used to find variables independently associated with iEAT. Results: iEAT was higher in T2DM than in controls and decreased with glycemic optimization. HDLs from T2DM had less apoA-I and cholesterol and more apoC-III and triglycerides. LDLs from T2DM had more triglycerides and apoB and smaller sizes than those from HCs. Significant correlations were found between iEAT and age, BMI, HbA1c, GGT, VLDLc, triglycerides, LDL size, apoA-I in HDL, and apoC-III in HDL. In the multivariable regression analysis, age, LDL size, and GGT associations remained statistically significant, and predicted 50% of the variability in EAT volume. ROC analysis using these variables showed an AUC of 0.835. Conclusions: Qualitative characteristics of lipoproteins were altered in T2DM. Multivariable analysis showed that LDL size and GGT plasma levels were independently associated with iEAT volume, suggesting that these variables might be useful biomarkers for stratifying T2DM patients with increased EAT volume.

Electronegative LDL (LDL(−)) is a minor form of LDL present in blood for which proportions are increased in pathologies with increased cardiovascular risk. In vitro studies have shown that LDL(−) presents pro-atherogenic properties, including a high susceptibility to aggregation, the ability to induce inflammation and apoptosis, and increased binding to arterial proteoglycans; however, it also shows some anti-atherogenic properties, which suggest a role in controlling the atherosclerotic process. One of the distinctive features of LDL(−) is that it has enzymatic activities with the ability to degrade different lipids. For example, LDL(−) transports platelet-activating factor acetylhydrolase (PAF-AH), which degrades oxidized phospholipids. In addition, two other enzymatic activities are exhibited by LDL(−). The first is type C phospholipase activity, which degrades both lysophosphatidylcholine (LysoPLC-like activity) and sphingomyelin (SMase-like activity). The second is ceramidase activity (CDase-like). Based on the complementarity of the products and substrates of these different activities, this review speculates on the possibility that LDL(−) may act as a sort of multienzymatic complex in which these enzymatic activities exert a concerted action. We hypothesize that LysoPLC/SMase and CDase activities could be generated by conformational changes in apoB-100 and that both activities occur in proximity to PAF-AH, making it feasible to discern a coordinated action among them.

Background: Type 2 diabetes (T2D patients) have a 74% increased risk of heart failure (HF), but traditional HF biomarkers lack sensitivity in early disease detection. Increased epicardial adipose tissue volume (EATv) is associated with cardiovascular risk in T2D, and novel biomarkers such as growth differentiation factor 15 (GDF15), Galectin-3, and soluble suppression of tumorigenicity 2 (sST2) are inflammation biomarkers linked to HF. Methods: We investigated associations between EATv, inflammation biomarkers, and the effect of metabolic control in 14 healthy controls (HCs) and 36 newly diagnosed T2D patients both before (poor glycemic control, PGC) and after 12 months of glycemic optimization (good glycemic control, GGC). EATv indexed to body surface area (iEATv) was quantified by multidetector computed tomography, and biomarker levels were measured by immunoassays. Results: PGC patients had higher iEATv (59.53 ± 21.67 vs. 36.84 ± 16.57 cm³/m², p = 0.0017) and elevated GDF15, Galectin-3, and sST2 levels (all p < 0.05) than HC subjects. The glycemic optimization reduced iEATv (p = 0.0232) and sST2 (p = 0.048), while GDF15 and Galectin-3 remained unchanged. Multivariable analysis confirmed independent associations between iEATv, GDF15 (β = 0.27, p = 0.027) and sST2 (β = 0.29, p = 0.02). Conclusions: These results support the link between systemic inflammation, EAT expansion, and cardiac dysfunction, and they point to the role of epicardial fat in early HF risk of T2D patients.

Heart failure (HF) is a major cardiovascular complication in people with type 2 diabetes (T2D), where heart failure with preserved ejection fraction (HFpEF) is the most common presentation. Despite its high prevalence, HF in T2D often remains undiagnosed during its early stages due to nonspecific symptoms and the limitations of conventional diagnostic tools. Epicardial adipose tissue (EAT), a visceral fat depot surrounding the myocardium, has emerged as a mechanistic and clinically relevant contributor to myocardial dysfunction. In T2D, EAT expansion fosters a pro-inflammatory, fibrotic, and metabolically adverse milieu that may directly promote the onset and progression of HF. This perspective synthesizes current translational evidence on the role of EAT in the pathogenesis of HF among individuals with T2D. We highlight diagnostic challenges related to imaging-based quantification and the limited sensitivity of natriuretic peptide-based screening, while emphasizing the potential relevance of emerging biomarkers such as GDF-15, Galectin-3, sST2, LDL particle size, GGT, and soluble low-density lipoprotein receptor-related protein 1 (sLRP1) to enhance early detection and risk stratification. Additionally, therapeutic approaches—including lifestyle modification, SGLT2 inhibitors, and GLP-1 receptor agonists—are considered for their potential to modulate EAT volume and reduce cardiovascular risk. Advancing knowledge on EAT biology and its circulating biomarkers holds promise to refine HF risk stratification and support translational efforts toward precision cardiometabolic care.

The most common form of congenital adrenal hyperplasia (CAH) results from a deficiency of the 21-hydroxylase enzyme (21-OHD), presenting with a broad spectrum of clinical phenotypes according to the CYP21A2 gene mutations. Of the 59 patients with suspected CAH, 62.7% presented a positive genetic result. Of them, 78.4% and 18.9% presented with non-classical and classical forms, respectively. An overall phenotype-genotype correlation of 88.9% was observed. Biochemically, 17-hydroxiprogesterone concentrations were significantly higher in genetically confirmed patients. Genetically, 36 patients presented with previously reported pathogenic variants, and one presented a new variant in homozygosis. Among the 74 alleles tested, point mutations were found in 89.2% and large rearrangements were found in the rest. The most prevalent pathogenic variant was p.(Val282Leu). The inclusion of relatives revealed one further case. Interestingly, 87.5% of relatives were carriers of a pathogenic variant, including two siblings initially classified as genetically positive. In addition, the study of male partners with gestational desire identified several carriers of mild mutations. Studying the allelic distribution of the variants also allowed for reclassifying one patient. In conclusion, a genetic approach including Sanger sequencing, multiplex ligation-dependent probe amplification (MLPA) analysis, and allelic distribution of the pathogenic variants represents a beneficial tool for better classifying patients with 21-OHD.