Association of endothelial function and lower extremity perfusion in peripheral artery disease.

Background: The current study aims to investigate the association between endothelial function and lower extremity perfusion in patients with peripheral artery disease (PAD). Patients and methods: In total 229 patients with PAD (Rutherford stage 0-3) were enrolled in the current study. Endothelial function was assessed by measuring flow-mediated dilation (FMD) and endothelial cell proliferation capacity (ECPC). Lower extremity perfusion was assessed by measuring oscillometry-based ankle brachial index (oABI) and pulse wave index (PWI). In addition, carotid intima-media-thickness (cIMT) was also measured as a surrogate marker for atherosclerosis. Correlations between FMD, ECPC, oABI, PWI, and cIMT were analysed using Pearson correlation coefficient. The relationship between the above variables and the severity of PAD was investigated using ordinal logistic regression analysis. Results: Correlation analysis showed that FMD negatively associated with PWI (r = -0.183, p = 0.005), ECPC positively associated with oABI (r = 0.162, p = 0.014), and oABI negatively associated with PWI (r = -0.264, p < 0.001). Ordinal logistic regression analysis showed that ECPC (ß = -0.009, p = 0.048), oABI (ß = -5.290, p < 0.001), and age (ß = -0.058, p = 0.002) negatively associated with the PAD Rutherford stages. In addition, PWI (ß = 0.006, p < 0.001), cIMT (ß = 18.363, p = 0.043) positively associated with the PAD Rutherford stages. Conclusions: Endothelial function significantly associates with lower extremity perfusion in patients with PAD, and both are related to the severity of PAD.

Lipoprotein(a) as a risk factor for atherosclerotic cardiovascular disease in patients in non-metropolitan areas of Brandenburg, Germany.

Background and aims: In the non-metropolitan region of Brandenburg (Germany), which is characterized by high rates of cardiovascular diseases and underserved medical care, there is a lack of awareness regarding lipoprotein(a) [Lp(a)] as a risk factor. In addition, data from patients with atherosclerotic cardiovascular disease (ASCVD) in diverse regional backgrounds, including the understudied Brandenburg cohort, and various healthcare statuses remain insufficient. Methods: In this WalkByLab study, Lp(a) levels were monitored in a non-metropolitan cohort (n = 850) in Brandenburg, Germany, comprising 533 patients at high cardiovascular risk and 317 healthy controls. Patients underwent a comprehensive angiological screening, which included blood serum analysis, assessment of medical and family history, cardiovascular risk, and disease status, and evaluation of lifestyle and quality of life. All parameters were evaluated with regard to two groups based on Lp(a) levels: low (<50 mg/dl) and high (≥50 mg/dl). Results: Brandenburg patients with cardiovascular diseases showed higher Lp(a) levels than healthy controls (24.2% vs. 14.8%, p = 0.001). Logistic regression analysis with different characteristics revealed that Lp(a) was an independent risk factor significantly associated with ASCVD (OR 2.26, 95% CI 1.32-3.95, p = 0.003). The high-Lp(a) group showed a higher proportion of patients with coronary artery disease, peripheral artery disease, or cerebrovascular disease compared to the low-Lp(a) group (50% vs. 36.8%; 57.7% vs. 45.8%; 17.6% vs. 9.2%; p = 0.004); also, a higher percentage of patients in the high-Lp(a) group had heart failure (72.8% vs. 53.2%, p = 0.014) and myocardial infarction (24.7% vs. 13.9%, p = 0.001). The high-Lp(a) group exhibited higher rates of statins (63.1% vs. 50.4%, p = 0.003), ezetimibe (14.8% vs. 5.5.%, p = 0.001), and beta-blockers (55.7% vs. 40.7%, p = 0.001) use. Lp(a) levels were found to be independent of physical activity or smoking behavior and did not change over time (12 months). Conclusions: Our study highlights the significance of elevated Lp(a) levels in Brandenburg cardiovascular patients and identifies them as an independent risk factor for ASCVD, which has implications for addressing cardiovascular health of non-metropolitan populations.

Leukocyte telomere length and mitochondrial DNA copy number associate with endothelial function in aging-related cardiovascular disease.

Background: We investigated the association between leukocyte telomere length, mitochondrial DNA copy number, and endothelial function in patients with aging-related cardiovascular disease (CVD). Methods: In total 430 patients with CVD and healthy persons were enrolled in the current study. Peripheral blood was drawn by routine venipuncture procedure. Plasma and peripheral blood mononuclear cells (PBMCs) were collected. Cell-free genomic DNA (cfDNA) and leukocytic genomic DNA (leuDNA) were extracted from plasma and PBMCs, respectively. Relative telomere length (TL) and mitochondrial DNA copy number (mtDNA-CN) were analyzed using quantitative polymerase chain reaction. Endothelial function was evaluated by measuring flow-mediated dilation (FMD). The correlation between TL of cfDNA (cf-TL), mtDNA-CN of cfDNA (cf-mtDNA), TL of leuDNA (leu-TL), mtDNA-CN of leuDNA (leu-mtDNA), age, and FMD were analyzed based on Spearman's rank correlation. The association between cf-TL, cf-mtDNA, leu-TL, leu-mtDNA, age, gender, and FMD were explored using multiple linear regression analysis. Results: cf-TL positively correlated with cf-mtDNA (r = 0.1834, P = 0.0273), and leu-TL positively correlated with leu-mtDNA (r = 0.1244, P = 0.0109). In addition, both leu-TL (r = 0.1489, P = 0.0022) and leu-mtDNA (r = 0.1929, P < 0.0001) positively correlated with FMD. In a multiple linear regression analysis model, both leu-TL (ß = 0.229, P = 0.002) and leu-mtDNA (ß = 0.198, P = 0.008) were positively associated with FMD. In contrast, age was inversely associated with FMD (ß = -0.426, P < 0.0001). Conclusion: TL positively correlates mtDNA-CN in both cfDNA and leuDNA. leu-TL and leu-mtDNA can be regarded as novel biomarkers of endothelial dysfunction.

Autophagy-related genes analysis reveals potential biomarkers for prediction of the impaired walking capacity of peripheral arterial disease.

BACKGROUND: The role of autophagy and autophagy-related genes in peripheral arterial disease (PAD) remains unknown and may be of diagnostic and prognostic value. The aim of this study is to investigate the relationship between autophagy and PAD, and identify potential diagnostic or prognostic biomarkers for medical practice. METHODS: Differentially expressed autophagy-related genes in PAD were explored from GSE57691 and validated in our WalkByLab registry participants by quantitative real-time polymerase chain reaction (qRT-PCR). The level of autophagy in peripheral blood mononuclear cells (PBMCs) of WalkByLab participants was assessed by analyzing autophagic marker proteins (beclin-1, P62, LC3B). Single sample gene set enrichment analysis (ssGSEA) was used to evaluate the immune microenvironment within the artery wall of PAD patients and healthy persons. Chemokine antibody array and enzyme-linked immunosorbent assay were used to assess the chemokines in participants' plasma. Treadmill testing with Gardner protocol was used to evaluate participants' walking capacity. Pain-free walking distance, maximum walking distance, and walking time were recorded. Finally, a nomogram model based on logistic regression was built to predict impaired walking performance. RESULTS: A total of 20 relevant autophagy-related genes were identified, and these genes were confirmed to be expressed at low levels in our PAD participants. Western blotting demonstrated that the expression of autophagic marker proteins beclin-1 and LC3BII were significantly reduced in PAD patients' PBMCs. ssGSEA revealed that most of the autophagy-related genes were strongly correlated with immune function, with the largest number of associated genes showing interaction between cytokine-and-cytokine receptors (CCR). In this context, the chemokines growth-related oncogene (GRO) and neutrophil activating protein2 (NAP2) are highly expressed in the plasma of WalkByLab PAD patients and were significantly negatively correlated with the walking distance assessed by Gardner treadmill testing. Finally, the plasma NAP2 level (AUC: 0.743) and derived nomogram model (AUC: 0.860) has a strong predictive potential to identify a poor walking capacity. CONCLUSIONS: Overall, these data highlight both the important role of autophagy and autophagy-related genes in PAD and link them to vascular inflammation (expression of chemokines). In particular, chemokine NAP2 emerged as a novel biomarker that can be used to predict the impaired walking capacity in PAD patients.