Objective To investigate the clinical application value of predicting the severity of acute pancreatitis(AP)based on MRI-T2WI radiomics nomogram.Methods A total of 375 patients with AP were analyzed retrospectively,who were divided into 281 cases in the training group and 94 cases in the validation group according to the ratio of 3∶1.Based on MRI-T2WI image,man-ual segmentation was performed for the pancreatic parenchyma.The radiomics feature were selected by feature extraction and dimen-sionality reduction,the support vector machine(SVM)classifier were used to construct the radiomics model.Logistic regression analysis was used to screen out independent risk factors,and an radiomics nomogram model was constructed in combined with the Radiomics score(Radscore),and the predictive performances of the models were evaluated.Results Receiver operating characteristic(ROC)curve analysis showed that the predictive efficacy of radiomics nomogram model[training group,area under the curve(AUC)=0.893;val-idation group,AUC=0.889]was higher than that of clinical model(training group,AUC=0.799;validation group,AUC=0.809)and radiomics model(training group,AUC=0.814;validation group,AUC=0.823).Conclusion The radiomics nomogram based on MRI-T2WI radiomics features and independent risk factors has high clinical application value for the prediction of AP severity.

Carotid artery stenosis is one of the primary causes of ischemic stroke.At present,the main surgical treatments for carotid artery stenosis include carotid endarterectomy(CEA)and carotid artery stenting(CAS).In-stent restenosis(ISR)is a long-term complication after CAS,which significantly affects the long-term outcomes of the surgery and the prognosis of patients,with a relatively high incidence in clinical practice.Based on a review of domestic and international studies,the authors provided a comprehensive overview of ISR,covering its pathogenesis,risk factors,treatment options,and the latest research developments,in order to provide clinicians with guidance for the diagnosis and treatment of ISR.

Cerebral small vessel disease (CSVD) is a series of diseases originating from pathological changes in cerebral microvessels, with a high prevalence in the population of advanced age. CSVD may significantly increase the risk of various neurological disorders, including cognitive impairment and stroke. With the development and application of advanced imaging techniques such as functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI), there has been a deeper understanding of the brain function and microstructural changes in patients with CSVD. This article reviews some new indicators and analysis methods of fMRI and DTI in CSVD research, and elaborates on their correlation with patient clinical manifestations.

Objective: To isolate a bacteriophage against pan-drug resistant Klebsiella pneumoniae in a burn patient, and to study its biological characteristics, genomic information, and effects on bacterial biofilm. Methods: (1) In 2018, pan-drug resistant Klebsiella pneumoniae UA168 (hereinafter referred to as the host bacteria) solution isolated from the blood of a burn patient in Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (hereinafter referred to as Ruijin Hospital) was used to isolate and purify the bacteriophage against pan-drug resistant Klebsiella pneumoniae from the sewage of Ruijin Hospital with sewage co-culture method, drip plate method, and double-agar plate method. The bacteriophage was named as phage KP168 and the plaque morphology was observed. (2) The phage KP168 solution was taken for cesium chloride density gradient centrifugation and dialysis, and then the morphology of phage KP168 was observed through transmission electron microscope after phosphotungstic acid negative staining. (3) The phage KP168 solution was taken to determine the lytic ability of the phage KP168 against 20 strains of pan-drug resistant Klebsiella pneumoniae isolated from the burned patients′ blood in Ruijin Hospital by the drip plate method, and then the lysis rate was calculated. (4) The phage KP168 solution at a initial titer of 9.3×10¹¹ plaque-forming unit (PFU)/mL (400 μL per tube) and the host bacteria solution at a concentration of 1×10⁹ colony-forming unit (CFU)/mL (4 mL per tube) were conventionally shaking cultured together for 4 hours at multiplicity of infection (MOI) of 10.000, 1.000, 0.100, 0.010, or 0.001, respectively (1 tube per MOI). The titer of phage KP168 was measured by the double-agar plate method (the measurement method was the same below) to select the optimal MOI. The experiment was repeated three times. (5) The host bacteria solution at a concentration of 1×10⁹ CFU/mL (4 mL per tube) and the phage KP168 solution at an adjusted titer of 5×10⁷ PFU/mL (400 μL per tube) were mixed at the MOI of 0.005. The plaques were counted 0 (immediately), 1, 2, 3, 4, 5, 15, and 30 minutes (1 tube at each time point) after mixing by the double-agar plate method (the counting method was the same below), and the percentage of adsorbed phages was calculated to screen for the optimal adsorption time. The experiment was repeated three times. (6) The host bacteria solution at a concentration of 1×10⁹ CFU/mL (300 μL per tube) and the phage KP168 solution at a titer of 5×10⁸ PFU/mL (60 μL per tube) were mixed at MOI of 0.005 and conventionally shaking cultured after standing for the optimal adsorption time. The phage KP168 titer was measured 0 (immediately), 10, 20, 30, 40, 50, 60, 70, 80, 90, and 100 minutes after culture, and a one-step growth curve was drawn. The experiment was repeated three times. (7) The phage KP168 solution at a titer of 2.5×10¹⁰ PFU/mL was left to stand for 1 hour at 37, 40, 50, 60, or 70 ℃ (3 tubes at each time point, 1 mL per tube) for counting the plaques, and then the thermal stability curve was drawn. SM buffer at a pH values of 5.0, 6.0, 7.0, 7.4, 8.0, 9.0, or 10.0 were added to the phage KP168 solution at a titer of 3.0×10¹⁰ PFU/mL, respectively. The mixed solution was left to stand for 1 hour at 37 ℃ (3 tubes of each pH, each tube containing 100 μL phage KP168 solution and 900 μL SM buffer), and then the plaques were counted, and an acid-base stability curve was drawn. (8) The phage KP168 solution was taken for DNA extraction and sequencing after dialysis as in experiment (2). The whole genome was annotated with Prokka to obtain the coding sequence of phage KP168. Nucleotide′s BLAST function was used to proceed nucleic acid sequence alignment for finding a known phage with the highest similarity to the phage KP168 nucleic acid sequence, and Blastx function was used to translate the coding sequence into protein for its function prediction. The comparison with Antibiotic Resistance Genes Database and Virulence Factors Database was proceeded. (9) In a 96-well plate, at a MOI of 1.000, 0.100, 0.010 or 0.001 (3 wells per MOI), 20 μL phage KP168 solution at a initial titer of 5.8×10¹⁰ PFU/mL was added to 200 μL host bacteria solution at a concentration of 1.5×10⁸ CFU/mL (the same concentration below) for co-cultivation for 48 hours. After 200 μL host bacteria solution was left to stand for 48 hours, 20 μL phage KP168 solution at a titer of 1×10^6, 1×10^7, 1×10^8, 1×10^9, or 1×10¹⁰ PFU/mL (3 wells per titer) was added respectively for action for 4 hours. In both experiments, 200 μL host bacteria solution added with 20 μL SM buffer (3 wells) acted as a negative control, and 220 μL LB culture medium (3 wells) acted as a blank control. Absorbance values were measured by a microplate reader, and inhibition/destruction rates of biofilm were calculated. The experiments were both repeated three times. Results: (1) The plaques of phage KP168 successfully isolated and purified were transparent and round, and its diameter was approximately 1.5 mm. (2) The phage KP168 has a regular polyhedron structure with a diameter of about 50 nm and without a tail. (3) The phage KP168 could lyse 13 of 20 strains of Klebsiella pneumoniae from burned patients, with a lysis rate of 65.0%. (4) When MOI was 1.000, the titer was the highest after co-culturing the phage KP168 with the host bacteria for 4 hours, which was the optimal MOI. (5) After the mixing of the phage KP168 with the host bacteria for 4 minutes, the percentage of the adsorbed phage reached the highest, which was the optimal adsorption time. (6) The one-step growth curve showed that during the lysis of the host bacteria by phage KP168, the incubation period was about 10 minutes, and the lysis period was about 40 minutes. (7) With the condition of 40 ℃ or pH 7.4, the number of plaques and the activity of phage KP168 reached the highest. (8) The genome of phage KP168 was a linear double-stranded DNA with a length of 40 114 bp. There were 48 possible coding sequences. It had the highest similarity to Klebsiella phage_vB_Kp1. The most similar known proteins corresponding to the translated proteins of coding sequences contained 23 hypothetical proteins and 25 proteins with known functions. No resistance genes or virulence factor genes were found. The GeneBank accession number was KT367885. (9) After 48 hours of co-cultivation of the phage KP168 and the host bacteria at each MOI, the inhibition rates of biofilm were similar, with an average of about 45%. After the phage KP168 with a titer of 1×10⁹ PFU/mL acted on the biofilm formed by the host bacteria for 4 h, the destruction rate of biofilm was the highest, reaching an average of 42%. Conclusions In this study, a bacteriophage against pan-drug resistant Klebsiella pneumoniae from a burn patient, phage KP168, is isolated from sewage, which belongs to the tailless phage. It has a wide host spectrum, short adsorption time, and short incubation period, with certain thermal and acid-base stability. Its genomic information is clear, and it does not contain resistance genes or virulence factor genes. It also has an inhibitory effect on the formation of bacterial biofilm and a destructive effect on the formed bacterial biofilm.

Objective:Abnormal angiogenesis is an important hallmark of HCC. Ectopic miR-375 overexpression led to repression of proliferation, migration, invasion, and colony formation, and it induced apoptosis in hepatoma cells as well. In this study, we explored the effect of miR-375 on HCC angiogenesis. Methods:We evaluated the antiangiogenic effects of miR-375 using human umbilical vein endothelial cells, tube formation assays, rat aortic ring sprouting assays, and chicken chorioallantoic membrane assays. Bioinformatics software was used to predict the downstream target gene of miR-375. MiR-375 regulation to target genes was explored by overexpres-sion and knockdown of miR-375 in hepatoma cells. Luciferase assay was performed to confirm its molecular mechanism. Rescue assay of target gene was further used to prove that miR-375 inhibited HCC angiogenesis by directly regulating its target gene. Results:MiR-375 inhibited HCC angiogenesis. Platelet-derived growth factor-C (PDGFC) was a potential target gene of miR-375. MiR-375 inhibited PDGFC expression in hepatoma cells by targeting its 3′-UTR. MiR-375 exerted its antiangiogenic effect partially by PDGFC inhibition. Conclusion:MiR-375 repressed tumor angiogenesis by targeting PDGFC in HCC.