The aims of the present study was to compare midterm results of quadrangular leaflet resection versus chordal replacement for the repair of degenerative posterior mitral leaflet (PML) prolapse, and to explore the risk factors for recurrent severe mitral regurgitation (MR). From January 2012 to December 2018, 1,423 consecutive patients underwent mitral valve (MV) repair. A total of 317 had degenerative PML prolapse and constituted the study population. Of these, 74 (23.3%) underwent quadrangular leaflet resection, and 243 (76.7%) underwent chordal replacement. Outcomes were compared by using unadjusted data and propensity score-matched analyses. Patients with multiple leaflet prolapse were more likely to undergo chordal replacement (18.4% 41.9%, P<0.001), and performed as a minimally invasive approach (47.3% 61.7%, P=0.027). Of the entire cohort, 1 death (0.3%) occurred due to intraoperative aortic dissection, and 1 patient who had undergone chordal replacement required reoperation before dischach patients with dilated LVESD are at high risk.Chordal replacement for the repair of degenerative posterior MV prolapse yields similar satisfactory outcomes when compared with quadrangular resection, and is promising in minimally invasive cardiac surgery for various lesions. However, it is also associated with more recurrent severe MR, albeit non-significant, for which patients with dilated LVESD are at high risk. N6-methyladenosine (m6A)-mediated ribonucleic acid (RNA) methylation is considered to be the most significant and abundant epigenetic modification in eukaryotic cells, and plays an essential role in the carcinogenesis and molecular pathogenesis of hepatocellular carcinoma (HCC). However, the relationship between m6A regulation and immune cell infiltration of the tumor immune microenvironment (TIME) has not yet been clarified. CongoRed We aimed to investigate the roles of m6A RNA gene regulators in HCC immune regulation and prognosis. The Cancer Genome Atlas (TCGA) database was used, and unsupervised clustering of 21 m6A regulators was performed based on differential gene expression. Gene Set Variation Analysis (GSVA), single-sample Gene Set Enrichment Analysis (ssGSEA), the empirical Bayes method, and m6A scores were used in our analyses. Of 433 samples, 101 (23.22%) had m6A regulatory factor mutations. From these, we identified three m6A subtypes, which correlated with different TIME phenotypes immune rejection regulation in HCC and have potential as novel prognostic indicators and immune therapeutic targets. Alternative splicing (AS) is closely correlated with the initiation and progression of carcinoma. The systematic analysis of its biological and clinical significance in breast cancer (BRCA) is, however, lacking. Clinical data and RNA-seq were obtained from the TCGA dataset and differentially expressed AS (DEAS) events between tumor and paired normal BRCA tissues were identified. Enrichment analysis was then used to reveal the potential biological functions of DEAS events. We performed protein-protein interaction (PPI) analysis of DEAS events by using STRING and the correlation network between splicing factors (SFs) and AS events was constructed. The LASSO Cox model, Kaplan-Meier and log-rank tests were used to construct and evaluate DEAS-related risk signature, and the association between DEAS events and clinicopathological features were then analyzed. After strict filtering, 35,367 AS events and 973 DEAS events were detected. DEAS corresponding genes were significantly enriched in pivotal pathways including cell adhesion, cytoskeleton organization, and extracellular matrix organization. A total of 103 DEAS events were correlated with disease free survival. The DEAS-related risk signature stratified BRCA patients into two groups and the area under curve (AUC) was 0.754. Moreover, patients in the high-risk group had enriched basel-like subtype, advanced clinical stages, proliferation, and metastasis potency. Collectively, the profile of DEAS landscape in BRCA revealed the potential biological function and prognostic value of DEAS events.Collectively, the profile of DEAS landscape in BRCA revealed the potential biological function and prognostic value of DEAS events. Transforming growth factor-β1 (TGF-β1) has a wide range of biological functions. It antagonizes lymphocyte response, inhibits pro-inflammatory cytokines, and serves as a signal to turn off the immune response and inflammatory response. To study the correlation between TGF-β1 and T helper (Th)1/Th2 cytokine levels in tree shrews, and to explore the effects of different levels of TGF-β1 on central venous catheter (CVC)-centered Staphylococcus epidermidis biofilm formation in tree shrews. Tree shrews were injected with different concentrations of TGF-β1, and venous blood was drawn after 48 h to measure the levels of Th1 and Th2 cytokines. A CVC was placed into the femoral vein, and TGF-β1 at different concentrations and PIA- (ATCC12228) and PIA+ (ATCC35984) standard strains of Staphylococcus epidermidis were injected into the tree shrews to establish a biomaterial-centered infection (BCI) model. After 72 h, the CVC was removed, and biofilm formation was detected using the API bacterial identification system, biofilm formation on the surface of CVCs.TGF-β1 causes the imbalance of Th1/Th2 cytokines and Th1/Th2 shift in tree shrews, leading to Th1 cell-led decline in cellular immune function. TGF-β1 promotes PIA+ Staphylococcus epidermidis biofilm formation in the tree shrew BCI model, but it has no significant influence on PIA-Staphylococcus epidermidis biofilm formation on the surface of CVCs. The pathophysiological roles of serum cytokine levels in critically ill surgical patients has yet to be determined. This study aimed to determine the predictive prognostic values of serum interleukin IL-2, IL-6, IL-8, tumor necrosis factor-α (TNF-α), and procalcitonin (PCT) in surgical intensive care unit (ICU) patients. Cytokine concentrations were measured with an IMMULITE 1000 Immunoassay System (Siemens Healthcare Diagnostics GmbH, Berlin, Germany). The study population was divided into quartiles according to the patients' cytokine levels Q1, Q2, Q3, and Q4. The optimal cutoff values of IL-2, IL-6, IL-8, TNF-α, and PCT level for predicting mortality were established by drawing receiver operating characteristic curves. The levels of IL-2 in Q3 [odds ratio (OR) =4.434, 95% confidence intervals (95% CI) 1.527-12.874] and Q4 (OR =7.715, 95% CI 2.744-21.693) were significantly higher than those in the Q1. The same results were noted in IL-6 and IL-8, and only Q4 (OR =2.383, 95% CI 1.419-4.001) showed significance in the level of TNF-α.