Objective To evaluate the significance of contrast medium (CM) volume and estimated glomerular filtration rate (CM/eGFR) in predicting contrast-induced nephropathy (CIN) after PCI. Methods A total of 307 patients after PCI were enrolled from Nanfang Hospital from May 2014 to October 2015. The patients were divided into the CIN group(n = 29) and the non-CIN group(n = 278) according to whether CIN within 72 hours after PCI. The baseline renal function was assessed by the sCr and CyC, respectively. Results Twenty-nine patients (9.4%, 29/307) developed CIN. There were significant differences in Age, CM、NTpro-BNP、IABP、 Periprocedural Hypotension、Preprocedural sCr/CyC between two groups (P < 0.05, respectively). The result of multivariate logistic regression analysis showed that Age, Cardiac function ≥Ⅲ level, IABP, use CCB, CM/eGFRMDRD, CM/eGFRCyC were independent risk predictors for CIN, respectively. Receiver Operating Characteristic (ROC) curve analysis showed that the area under the curve of CM/eGFRMDRD(AUC = 0.838) was superior to CM/eGFRCyC (AUC = 0.805) without significant difference. The sensitivity and specificity were 79.3%and 76.3%(Cut-off Point = 2.094), respectively. Conclusion Both the CM/eGFRMDRD and CM/eGFRCyC may be good methods to determine maximum CM before PCI and to predict CIN after PCI currently, without significant differences between these two predictors.

Objective To assess the association between human CYP1A1 gene polymorphisms and coronary artery disease (CAD) among the Uygur population of China.Methods Genotypes of CYP1A1 single nucleotide polymorphisms (SNPs:rs4886605,rs 12441817,rs4646422 and rs1048943) were detected by real-time PCR in 293 CAD patients and 408 controls.Results Among the Uygur group,distribution of genotypes and allele of rs4886605 were both significantly different between CAD and the controls (all P＜0.05).The dominant model (CC vs.CT + TT) of rs4886605 was significantly lower among CAD patients than in controls.Significant differences were retained after the adjustment was made in all the participants (OR=0.368,95％CI:0.185-0.530,P=0.018) and in men (OR=0.350,95％CI:0.235-0.568,P=0.015).Distributions of genotypes and allele of rs12441817 were both significantly different between CAD and the controls (all P＜0.05).The dominant model (TT vs.CT+CC) of rs12441817 was significantly lower among patients CAD than in controls.Significant difference were retained after the adjustment was made,in total participants (OR=0.253,95％ CI:0.231-0.546,P=0.016) and in men (OR=0.241,95％ CI:0.132-0.478,P=0.002).Conclusion Both rs4886605 and rs12441817 SNPs of the CYP1A1 gene were associated with CAD in the Uygur population of China.

OBJECTIVE To explore the pharmacodynamic related substances and mechanism of Weining San(WNS) against gastric ulcer(GU) according to fingerprint and network pharmacology. METHODS Twelve batches of WNS fingerprints were established by HPLC, and methodological investigation was carried out. Combined with reference substances, characteristic peaks were identified, pharmacodynamic related substances were screened, and network pharmacological analysis was carried out. Using TCMIP and Swiss Target Prediction database to retrieve component targets; Using OMIM, GeneCards and Drugbank databases to retrieve GU disease targets, taking the intersection targets of components and diseases, using String database to construct protein-protein interaction network diagram, and analyzing topological parameters; Using Cytoscape 3.8.2 software to construct "component-disease-target" network diagram; GO and KEGG enrichment analysis of intersection targets were carried out by Metascape website. Then the alcoholic GU mouse model was established by intragastric administration of absolute ethanol to verify the results of network pharmacology prediction. RESUITS　The precision, stability and repeatability of HPLC fingerprint method were good. By comparison and comprehensive analysis of control substances, notoginsenoside R1, ginsenoside Rg1, militarine, ginsenoside Rb1, schisandrin, schisandrol B, deoxyschizandrin and schisantherin A were identified as pharmacodynamic related substances in WNS, which may play their role by regulating core targets such as AKT1, IL-6, STAT3, TNF, IL1B and key signal pathways such as PI3K-Akt and JAK-STAT. The gastric ulcer index, ulcer inhibition rate and HE staining showed that WNS could improve gastric mucosal injury in GU mice. The results of ELISA, WST-1 and TBA showed that WNS could decrease the levels of TNF-α, IL-6, IL-1β and MDA, and increase the levels of SOD and PGE2, suggesting that the anti-GU effect of WNS was related to the inhibition of inflammatory reaction and oxidative stress mechanism, which further verified the prediction of network pharmacology. CONCLUSION This study combines fingerprint analysis, network pharmacology, and animal experimental validation to explore the pharmacodynamic related substances and mechanisms of WNS anti-GU efficacy, providing reference for quality control and clinical research of WNS.

Age-associated changes in immune cells have been linked to an increased risk for infection. However, a global and detailed characterization of the changes that human circulating immune cells undergo with age is lacking. Here, we combined scRNA-seq, mass cytometry and scATAC-seq to compare immune cell types in peripheral blood collected from young and old subjects and patients with COVID-19. We found that the immune cell landscape was reprogrammed with age and was characterized by T cell polarization from naive and memory cells to effector, cytotoxic, exhausted and regulatory cells, along with increased late natural killer cells, age-associated B cells, inflammatory monocytes and age-associated dendritic cells. In addition, the expression of genes, which were implicated in coronavirus susceptibility, was upregulated in a cell subtype-specific manner with age. Notably, COVID-19 promoted age-induced immune cell polarization and gene expression related to inflammation and cellular senescence. Therefore, these findings suggest that a dysregulated immune system and increased gene expression associated with SARS-CoV-2 susceptibility may at least partially account for COVID-19 vulnerability in the elderly.
Adult ; Aged ; Aged, 80 and over ; Aging ; genetics ; immunology ; Betacoronavirus ; CD4-Positive T-Lymphocytes ; metabolism ; Cell Lineage ; Chromatin Assembly and Disassembly ; Coronavirus Infections ; immunology ; Cytokine Release Syndrome ; etiology ; immunology ; Cytokines ; biosynthesis ; genetics ; Disease Susceptibility ; Flow Cytometry ; methods ; Gene Expression Profiling ; Gene Expression Regulation, Developmental ; Gene Rearrangement ; Humans ; Immune System ; cytology ; growth & development ; immunology ; Immunocompetence ; genetics ; Inflammation ; genetics ; immunology ; Mass Spectrometry ; methods ; Middle Aged ; Pandemics ; Pneumonia, Viral ; immunology ; Sequence Analysis, RNA ; Single-Cell Analysis ; Transcriptome ; Young Adult