| Literature DB >> 35847417 |
Cheng Xiao1, Lixiang Liu2, Xi Li3, Xiaoan Yang4, Hanxiong Liu5.
Abstract
The number and function of circulating endothelial progenitor cells (EPCs) decreased in stable coronary artery disease. Nevertheless, there were few studies that explored the variation of EPC and the relationship with the severity of coronary artery lesions in unstable angina (UA). Therefore, this leaves an area for the investigation of the difference in the number and activity of circulating EPCs and the relationship with the Gensini score in unstable angina. Fluorescence-activated cell sorter analysis, as well as DiI-acLDL and lectin fluorescent staining measure the number of circulating EPCs. The transwell chamber assay and MTT were evaluated by the migration and proliferation of circulating EPCs. In addition, the flow-mediated dilation (FMD), Gensini score, and IL-6 levels in plasma were determined. We found that UA patients had the higher number and lower function of circulating EPCs. With the increase in severity of coronary artery lesions, the migration and proliferation of EPCs were decreased. Moreover, the function of the circulating EPCs was negatively associated with severity of coronary artery lesions in unstable angina. In addition, UA patients presented elevated IL-6, which was negatively correlated with the function of circulating EPCs and FMD and positively correlated with the severity of coronary artery lesions evaluated by the Gensini score. These findings revealed the decline in the function of circulating EPCs was associated with the severity of coronary artery disease, which may be related to systemic inflammation.Entities:
Year: 2022 PMID: 35847417 PMCID: PMC9277215 DOI: 10.1155/2022/9619626
Source DB: PubMed Journal: Cardiol Res Pract ISSN: 2090-0597 Impact factor: 1.990
Clinical and biochemical characteristics of the two groups.
| Characteristics | Control ( | UA ( |
|---|---|---|
| Age (years) | 63.3 ± 9.3 | 66.9 ± 10.2 |
| BMI (kg/cm2) | 24.7 ± 3.2 | 24.9 ± 3.3 |
| Heart rate (beats/min) | 74.0 ± 12.8 | 71.6 ± 11.4 |
| Diastolic BP (mmHg) | 68.6 ± 5.7 | 73.9 ± 8.2 |
| Systolic BP (mmHg) | 128.7 ± 20.9 | 132.8 ± 18.4 |
| ALT (mmol/L) | 29.6 ± 11.9 | 30.9 ± 15.5 |
| AST (mmol/L) | 31.0 ± 20.7 | 27.8 ± 14.4 |
| GLU (mmol/L) | 8.5 ± 4.5 | 7.5 ± 3.5 |
| FMD (%) | 8.7 ± 1.0 | 7.0 ± 1.2 |
| IL-6 (pg/ml) | 6.7 ± 2.5 | 11.1 ± 3.1 |
AST, aspartate aminotransferase; ALT, alanine transaminase; BMI, body mass index; BP, blood pressure; BUN, blood urea nitrogen; Cr, serum creatinine; CRP, C-reactive protein; GLU, glucose; FMD, flow-mediated dilation; IL-6, interleukin-6. Note. Data are given as the mean ± SD. P < 0.05 vs. control.
Figure 1The number and function of circulating EPCs between the two groups. The number of circulating EPCs was detected by determining the number of CD34+/KDR+ cells per 100 peripheral blood mononuclear cells and then by examining the numbers of DiI-acLDL/lectin double-positive cells (a), (b) The results of migration and proliferation assays (c), (d) Statistical significance was evaluated using Student's t-test or analysis of variance.P < 0.05
Figure 2The number and function of circulating EPCs between three subgroups. As the Gensini score increased, the number of circulating EPCs was decreased (a), (b) and the migration and proliferation of circulating EPCs were also declined. (c), (d) Statistical significance was evaluated using Student's t-test or analysis of variance.
Figure 3Correlation between FMD and the Gensini score and EPC function. FMD was positively correlated with EPC migration (a) and proliferation (b) In addition, the Genisini score was inversely related to EPC migration (c) and proliferation (d) And the Genisini score was inversely related to FMD (e) Univariate correlations were calculated using Pearson's coefficient (r).
Figure 4Correlation between the function of circulating EPCs or FMD or the Gensini score and IL-6. EPC migration (a) proliferation (b) and FMD (c) were inversely related to IL-6. In addition, the Gensini score was positively correlated with IL-6 (d) Univariate correlations were calculated using Pearson's coefficient (r).