Unseen threat: how subclinical atherosclerosis increases mortality risk in patients with type 1 diabetes.

BACKGROUND: Cardiovascular disease (CVD), particularly ischemic heart disease, remains the leading cause of death and morbidity in patients with type 1 diabetes. Detecting subclinical atherosclerosis could enhance cardiovascular risk stratification and enable individualised therapies. The aim of this study is to investigate the prevalence and predictors of subclinical atherosclerosis in patients with type 1 diabetes without overt cardiovascular disease (CVD) and to assess its impact on patient survival over a follow-up period of at least 5 years. METHODS: This observational study included 507 patients treated at the Diabetes Unit of the Hospital of Girona Doctor Josep Trueta between 2015 and 2023. The inclusion criteria for patients were as follows: those aged 18 and older with diabetes for a minimum of 10 years or those aged 40 and older with a diabetes for at least 5 years. Subclinical atherosclerosis was identified via ultrasound imaging of the carotid and femoral arteries. Clinical and biochemical evaluations were also conducted. Major cardiovascular events (MACE) and deaths from other causes were monitored, and survival analysis was performed using Kaplan‒Meier methods. RESULTS: Subclinical atherosclerosis was detected in 218 patients (43%). Multivariate analysis revealed that the male sex, diabetic nephropathy, tobacco exposure, higher HbA1c levels, older age, and longer diabetes duration were significant predictors. During a mean follow-up of 70.64 ± 27.08 months, 19 patients experienced MACE, and 13 died from any cause. The probability of MACE or death was greater in patients with subclinical atherosclerosis, with a hazard ratio (HR) of 25.1 (95% CI 5.81-108, p < 0.001) for MACE and an odds ratio (OR) of 7.57 (95% CI 1.97-53.9, p = 0.004) for death. CONCLUSION: Subclinical atherosclerosis is independently associated with increased overall mortality and MACE in patients with type 1 diabetes. Identifying clinical predictors can improve risk stratification and personalised therapeutic strategies to prevent MACEs in this high-risk population.

Plasma Lipidomics Profiles Highlight the Associations of the Dual Antioxidant/Pro-oxidant Molecules Sphingomyelin and Phosphatidylcholine with Subclinical Atherosclerosis in Patients with Type 1 Diabetes.

Here, we report on our study of plasma lipidomics profiles of patients with type 1 diabetes (T1DM) and explore potential associations. One hundred and seven patients with T1DM were consecutively recruited. Ultrasound imaging of peripheral arteries was performed using a high image resolution B-mode ultrasound system. Untargeted lipidomics analysis was performed using UHPLC coupled to qTOF/MS. The associations were evaluated using machine learning algorithms. SM(32:2) and ether lipid species (PC(O-30:1)/PC(P-30:0)) were significantly and positively associated with subclinical atherosclerosis (SA). This association was further confirmed in patients with overweight/obesity (specifically with SM(40:2)). A negative association between SA and lysophosphatidylcholine species was found among lean subjects. Phosphatidylcholines (PC(40:6) and PC(36:6)) and cholesterol esters (ChoE(20:5)) were associated positively with intima-media thickness both in subjects with and without overweight/obesity. In summary, the plasma antioxidant molecules SM and PC differed according to the presence of SA and/or overweight status in patients with T1DM. This is the first study showing the associations in T1DM, and the findings may be useful in the targeting of a personalized approach aimed at preventing cardiovascular disease in these patients.

Low-density lipoprotein from active SLE patients is more atherogenic to endothelial cells than low-density lipoprotein from the same patients during remission.

OBJECTIVES: SLE patients have an enhanced risk of atherosclerosis and cardiovascular disease. However, the increased prevalence of cardiovascular disease is not fully explained by traditional Framingham cardiovascular risk factors. Specific features of low-density lipoprotein (LDL) particles, other than plasma concentration, may induce accelerated atherosclerosis at early stages in these patients. Thus, we aimed to explore the impact of LDL from both active and inactive SLE patients on human aortic endothelial cells. METHODS: Human aortic endothelial cells were stimulated with the same concentration of LDL particles isolated from pooled serum that was collected from 13 SLE patients during both active and inactive states. Gene expression and cell migration assays were performed. RESULTS: Circulating LDL particles obtained from healthy volunteers and SLE patients in both remission and flare states were comparable in terms of number, cholesterol and triglyceride content, and net electric charge. Stimulation of cells with LDL from active SLE patients induced the expression of vascular cell adhesion molecule 1 (∼2.0-fold, P < 0.05), monocyte chemoattractant protein 1 (∼2.0-fold, P < 0.05) and matrix metallopeptidase 2 (∼1.6-fold, P < 0.01) compared with cells stimulated with LDL from inactive SLE patients. Additionally, LDL extracted from active patients increased cell migration in a wound-healing assay (1.4-fold, P < 0.05). CONCLUSION: Our data show that, at the same LDL concentration, LDL from active SLE patients had increased proatherogenic effects on endothelial cells compared with LDL from the same patients when in an inactive or remission state.

How should we store avian faecal samples for microbiota analyses? Comparing efficacy and cost-effectiveness.

Analyses of bacterial DNA in faecal samples are becoming ever more common, yet we still do not know much about bird microbiomes. These challenges partly lie in the unique chemical nature of their faeces, and in the choice of sample storage method, which affects DNA preservation and the resulting microbiome composition. However, there is little information available on how best to preserve avian faeces for microbial analyses. This study evaluates five widely used methods for preserving nucleic acids and inferring microbiota profiles, for their relative efficacy, cost, and practicality. We tested the five methods (in-situ bead-beating with a TerraLyzer instrument, silica-bead desiccation, ethanol, refrigeration and RNAlater buffer) on 50 fresh faecal samples collected from captive House sparrows (Passer domesticus). In line with other studies, we find that different storage methods lead to distinct bacterial profiles. Storage method had a large effect on community composition and the relative abundance of dominant phyla such as Firmicutes and Proteobacteria, with the most significant changes observed for refrigerated samples. Furthermore, differences in the abundance of aerobic or facultatively aerobic taxa, particularly in refrigerated samples and those stored in ethanol, puts limits on comparisons of bacterial communities across different storage methods. Finally, the methods that did not include in-situ bead-beating did not recover comparable levels of microbiota to the samples that were immediately processed and preserved using a TerraLyzer device. However, this method is also less practical and more expensive under field work circumstances. Our study is the most comprehensive analysis to date on how storage conditions affect subsequent molecular assays applied to avian faeces and provides guidance on cost and practicality of methods under field conditions.