Changes of plasma Rap1A levels in patients with in-stent restenosis after percutaneous coronary intervention and the underlying mechanisms. / ç»çš®å† çŠ¶åŠ¨è„‰ä»‹å ¥æ²»ç–—æœ¯åŽæ”¯æž¶å† å†ç‹­çª„æ‚£è€ è¡€æµ†Rap1Aæ°´å¹³å˜åŒ–åŠå ¶æœºåˆ¶ï¼ˆè‹±æ–‡ï¼‰.

OBJECTIVES: Percutaneous coronary intervention (PCI) is one of the most important treatments for coronary artery disease (CAD). However, in-stent restenosis (ISR) after PCI is a serious complication without effective measures for prevention and treatment. This study aims to investigate the Ras-related protein 1A (Rap1A) level in ISR patients and in the tumor necrosis factor-α (TNF-α)-induced inflammatory injury model of human umbilical vein endothelial cells (HUVECs), to explore the role of Rap1A in regulating TNF-α-induced inflammation in HUVECs and to provide a new potential target for ISR prevention and treatment. METHODS: A total of 60 CAD patients, who underwent PCI between December 2020 and July 2022 from the Department of Cardiovascular Medicine of Xiangya Hospital, Central South University, and re-examined coronary angiography (CAG) 1 year after the operation, were included. After admission, 27 patients were diagnosed with ISR and 33 patients were diagnosed with non-in-stent restenosis (non-ISR) according to the CAG. Clinical data were collected, and the plasma Rap1A level was determined by enzyme linked immunosorbent assay (ELISA). In cell experiments, an inflammatory injury model was established with TNF-α treatment (10 ng/mL, 24 h) in HUVECs. The mRNA and protein expression levels of Rap1A, interlukin-6 (IL-6), and vascular cell adhesion molecule-1 (VCAM-1) were measured by real-time reverse transcription PCR and Western blotting. Small interfering RNA (siRNA) was used to explore the role of Rap1A in regulating TNF-α-induced inflammation in HUVECs. RESULTS: Compared with the non-ISR patients, a higher proportion of ISR patients had a history of smoking (P=0.005) and diabetes (P=0.028), and higher levels of glycosylated hemoglobin (HbA1c) (P=0.012), low-density lipoprotein cholesterol (LDL-c) (P=0.014), and hypersensitive C-reactive protein (hs-CRP) (P=0.027). The remaining projects did not show significant differences (all P>0.05). The plasma level of Rap1A in the ISR group was significantly higher than that in the non-ISR group [942.14 (873.28 to 1 133.81) µg/mL vs 886.93 (812.61 to 930.98) µg/mL; P=0.004]. Diabetes, LDL-c, and Rap1A were risk factors for ISR by univariate logistic regression analysis (all P<0.05). The mRNA and protein expression levels of inflammatory factors IL-6 and VCAM-1 were increased in HUVECs after 10 ng/mL TNF-α treatment for 24 h compared with the control group (all P<0.05), while the mRNA and protein levels of Rap1A were increased (both P<0.05). After inhibition of Rap1A in HUVECs, the mRNA and protein expression levels of IL-6 and VCAM-1 were significantly decreased (all P<0.05). CONCLUSIONS: The plasma Rap1A level was significantly elevated in patients with ISR, suggesting that Rap1A may be a potential biomarker for predicting ISR. In the TNF-α- induced HUVECs inflammatory injury model, the expression level of Rap1A was increased. The level of TNF-α-induced endothelial cell inflammation was decreased after inhibition of Rap1A expression, suggesting that Rap1A may be a potential target for the treatment of endothelial cell inflammation in ISR.

Identification of PFKFB2 as a key gene for the transition from acute to old myocardial infarction in peripheral blood.

Objective: This study aims to analyze the gene expression profile of peripheral blood in different stages of myocardial infarction (MI) by transcriptome sequencing, and to study the gene expression characteristics of peripheral blood after MI. Methods: Differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WGCNA) were used to identify genes and modules associated with old myocardial infarction (OMI). Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation were applied to analyze the potential functions of genes. Hub genes were identified by Random Forest Classifier. CIBERSORT was used to provide an estimate of the abundance of 22 immune cells in peripheral blood. Quantitative polymerase chain reaction (qPCR) was used to detect gene expression levels in clinical samples. The cellular components (CC) of peripheral blood were counted by an automatic hematology analyzer. Results: Through differential gene analysis and co-expression network analysis, 11 candidate genes were obtained. A random forest classifier identified 10 hub genes. Immune cell distribution of peripheral blood was found that T cell CD4 memory resting, NK cells resting, Dendritic cells activated, Mast cells resting, Monocytes and Neutrophils were correlated with OMI. Spearman correlation analysis found that PFKFB2 is related to the above immune cells. Low expression of PFKFB2 in peripheral blood of OMI was detected in clinical samples, and the relationship between PFKFB2 and peripheral blood immune cell counts was analyzed, which showed monocytes were associated with PFKFB2 in our study. Conclusion: PFKFB2 was low expressed in OMI, and related to the distribution of immune cells. PFKFB2 may play a key role in reflecting the transition from AMI to OMI, and predicting the distribution of immune cells, which provided a new perspective for improving myocardial fibrosis and adverse remodeling.

Levels of plasma Quaking and cyclooxygenase-2 predict in-stent restenosis in patients with coronary artery disease after percutaneous coronary intervention. / 血浆Quakingå’ŒçŽ¯æ°§åˆé ¶-2æ°´å¹³é¢„æµ‹å† å¿ƒç— æ‚£è€ è¡Œç»çš®å† çŠ¶åŠ¨è„‰ä»‹å ¥æœ¯åŽæ”¯æž¶å† å†ç‹­çª„.

OBJECTIVES: Percutaneous coronary intervention (PCI) is one of the important methods for the treatment of coronary artery disease (CAD). In-sent restenosis (ISR) after PCI for patients suffered from CAD is considered to be an essential factor affecting long-term outcomes and prognosis of this disease. This study aims to investigate the correlation between plasma Quaking (QKI) and cyclooxygenase-2 (COX-2) levels and ISR in patients with CAD. METHODS: A total of 218 consecutive CAD patients who underwent coronary angiography and coronary arterial stenting from September 2019 to September 2020 in the Department of Cardiology of Xiangya Hospital of Central South University were enrolled in this study, and 35 matched individuals from the physical examination center were served as a control group. After admission, clinical data of these 2 groups were collected. Plasma QKI and COX-2 levels were measured by enzyme linked immunosorbent assay (ELISA). Follow-up angiography was performed 12 months after PCI. CAD patients were divided into a NISR group (n=160) and an ISR group (n=58) according to the occurrence of ISR based on the coronary angiography. The clinical data, coronary angiography, and stent features between the NISR group and the ISR group were compared, and multivariate logistic regression was used to explore the factors influencing ISR. The occurrence of major adverse cardiovascular events (MACE) 1 year after operation was recorded. Fifty-eight patients with ISR were divided into an MACE group (n=24) and a non-MACE group (n=34), classified according to the occurrence of MACE, and the plasma levels of QKI and COX-2 were compared between the 2 groups. Receiver operating characteristic (ROC) curves were utilized to analyze the diagnostic value of plamsa levels of QKI and COX-2 for ISR and MACE occurrences in patients after PCI. RESULTS: Compared with control group, plasma levels of QKI and COX-2 in the CAD group decreased significantly (all P<0.001). Compared with the NISR group, the plasma levels of QKI and COX-2 also decreased obviously in the ISR group (all P<0.001), while the levels of high sensitivity C-reactive protein (hs-CRP) and glycosylated hemoglobin (HbAlc) significantly increased (all P<0.001). The level of COX-2 was negatively correlated with hs-CRP (r=-0.385, P=0.003). Multivariate logistic regression analysis showed that high level of plasma QKI and COX-2 were protective factors for in-stent restenosis after PCI, while hs-CRP was a risk factor. ROC curve analysis showed that the sensitivity and specificity of plasma QKI for evaluating the predictive value of ISR were 77.5% and 66.5%, respectively, and the sensitivity and specificity of plasma COX-2 for evaluating the predictive value of ISR were 80.0% and 70.7%, respectively. The sensitivity and specificity of plasma QKI combined with COX-2 for evaluating the predictive value of ISR were 81.3% and 74.1%, respectively. The sensitivity and specificity of plasma QKI for evaluating the prognosis of ISR were 75.0% and 64.7%, respectively. The sensitivity and specificity of plasma COX-2 for evaluating the prognosis of ISR were 75.0% and 70.6%, respectively. The sensitivity and specificity of plasma QKI combined with COX-2 for prognostic evaluation of ISR were 81.7% and 79.4%, respectively. The sensitivity and specificity of plasma COX-2 combined with QKI for evaluating ISR and MACE occurrences in patients after PCI were better than those of COX-2 or QKI alone (P<0.001). CONCLUSIONS: High level of plasma QKI and COX-2 might be a protective factor for ISR, which can also predict ISR patient's prognosis.

[Behaviors of beta-glucan from Grifola frondosa in high performance gel permeation chromatography].

The high performance gel permeation chromatographic (HPGPC) behaviors of four beta-1, 3/1, 6-glucans (GF1, GF2, GF3, GF4) with different protein contents and one alpha-1, 4/1, 6-glucan (P100) from Grifola frondosa were examined with different concentrations of NaCl solution and pH values. The experimental results showed that the relative molecular mass (M(r)) of the beta-glucans sharply dropped as the NaCl concentration was less than 0.025 mol/L and then tended to be stable as the NaCl concentration was raised from 0.1 to 0.2 mol/L, the M(r) increased quickly from pH 3 to 6, and then maintained stable from pH 6 to 9, but slightly increased as the pH value was higher than 9. However, the M(r) of the alpha-1, 4/1, 6-glucan was slightly affected by either different concentrations of NaCl or different pH values. The beta-glucan existed in a super-helix structure in aqueous solution, which could be influenced by the NaCl concentration and pH value. These factors led to the different molecular aggregation states, and the increase or decrease of the M(r) of beta-glucans, displaying a variety of HPGPC behaviors.