Perifosine inhibits biofilm formation of Pseudomonas aeruginosa by interacting with PqsE protein / 中华预防医学杂志

To explore the biofilm inhibitory efficacy of perifosine against Pseudomonas aeruginosa (P. aeruginos) and its mechanisms. Twenty-fourwell plate was used to form biofilms at the bottom and crystal violet staining was used to determine the biofilm inhibitory effects of perifosine against P. aeruginosa, the wells without perifosine was set as control group. Glass tubes combined with crystal violet staining was used to detect the gas-liqud interface related bioiflm inhibitory effects of perifosine, the wells without perifosine was set as control group. Time-growth curved was used to detect the effects of perifosine on the bacteial planktonic cells growth of P. aeruginosa, the wells without perifosine was set as control group. The interaction model between perifosine and PqsE was assessed by molecular docking assay. The inhibitory effects of perifosine on the catalytic activity of PqsE was determined by detection the production of thiols, the wells without perifosine was set as control group. Binding affinity between perifosine and PqsE was detected by plasma surface resonance. The biofims at the bottom of the microplates and air-liquid interface were effectively inhibited by perifosine at the concentration of 4-8 μg/ml. There was no influence of perifosine on the cells growth of P. aeruginosa. The resuts of molecular docking assay indicates that perifosine could interacted with PqsE with the docking score of -10.67 kcal/mol. Perifosine could inhibit the catalytic activity of PqsE in a dose-dependent manner. The binding affinity between perifosine and PqsE was comfirmed by plasma surface resonance with KD of 6.65×10-5mol/L. Perifosine could inhibited the biofilm formation of P. aeruginosa by interacting with PqsE.

Deep Learning-Based Cardiac Imaging Data Measurement and Its Application in Diagnosis of Sudden Cardiac Death / 法医学杂志

In the field of forensic medicine, diagnosis of sudden cardiac death is limited by subjective factors and manual measurement methods, so some parameters may have estimation deviation or measurement deviation. As postmortem CT imaging plays a more and more important role in the appraisal of cause of death and cardiopathology research, the application of deep learning such as artificial intelligence technology to analyze vast amounts of cardiac imaging data has provided a possibility for forensic identification and scientific research workers to conduct precise diagnosis and quantitative analysis of cardiac diseases. This article summarizes the main researches on deep learning in the field of cardiac imaging in recent years, and proposes a feasible development direction for the application of deep learning in the virtual anatomy of sudden cardiac death at present.

Construction of a Stable Expression Cell Line of Human Phospholamban / 法医学杂志

OBJECTIVES@#To construct a cell line that can stably express human phospholamban(PLN) and initially explore its application in the study of myocardial toxicity mechanism.@*METHODS@#FastCloning method was used to insert the open reading frame sequence of target gene PLN into eukaryotic expression vector pcDNA5/FRT/TO(hereinafter referred to as pDFT) to construct the pDFT-PLN-Flag plasmid. The Flp-InTM T-RExTM 293 cells were generated by cotransfection of the constructed plasmid and pOG44 plasmid to express the target gene. Successfully recombined monoclonal cell lines were screened by hygromycin B resistance. Western blot and indirect immunofluorescence (IFA) were used to examine the expression of the target protein in recombinant cells. After the cell line was exposed to aconitine, it was verified by Western blot to detect changes in PLN protein phosphorylation.@*RESULTS@#After PCR amplification of the recombinant plasmid and DNA electrophoresis, the length of the amplified product is the same as the known PLN gene fragment, which is consistent with the open reading frame (ORF) sequence of the human PLN gene after sequencing. IFA and Western blot showed that the constructed proliferation cell line can stably express high levels of human PLN under induction and regulation. Preliminary results showed that the phosphorylation level of Thr17-PLN decreased after two hours of exposure to 1 μmol/L aconitine.@*CONCLUSIONS@#This human cell line can stably express PLN and can be used to study the mechanism of action of aconitine on the cell at molecular level.