Cholesterol gallstone disease is prevalent and its incidence is increasing in China. Supersaturation of biliary cholesterol is a prerequisite for gallstone formation.Recent studies show that disorders of hepatic-enteric metabolism of lipids play important roles in the pathogenesis of gallstone disease and these include： increased biliary cholesterol which originates from an increased uptake of plasma high density lipoprotein mediated by scavenger receptor B type 1,increased secretion of cholesterol into bile via hepatic canalicular cholesterol transporters, and increased intestinal cholesterol absorption in gallstone patients. These eventually lead to supersaturation of biliary cholesterol. Evidences also suggest that decreasing hepatic cholesterol loading, promoting biliary bile acids and phospholipids secretion, and/or inhibiting intestinal cholesterol absorption can moderate saturation of biliary cholesterol, and prevent gallstone formation.

Aim To construct a lentiviral low expres-sion of miR-139-5 p vector and validate its expression efficiency in H9c2 cells. Method Target sequence was designed according to the sequence of rat miR-139-5p. Oligonucleotide duplex was synthesized and cloned into the lentiviral vector pGC-LV. The recombi-nant lentiviral vector, pHelper 1. 0, and pHelper 2. 0 were co-transfected into 293T cells, packaging virus. Then H9 c2 cells were infected with the supernatant containing lentiviral particles, and its infection effi-ciency and miR-139-5 p expression were determined by fluorescent microscope and real-time quantitative PCR, respectively. Results A lentiviral low expression of miR-139-5p vector was successfully constructed. The infection efficiency in H9c2 cells reached over 95%, and the relative expression of miR-139-5p was significantly down-regulated. Conclusion The lentiviral low expression of miR-139-5p vector is successfully constructed, and the expression of miR-139-5p in infected H9c2 cells is inhibited effectively.

ObjectiveTo investigate the single nucleotide polymorphisms (SNPS) in the coding regions of the human ABCA2 gene and to determine the association of some of these SNPs with gallstone disease in a Chinese population. MethodsThe exons and part of the introns of the ABCA2 gene were sequenced using a fluorescent labeling automatic method in 24 patients with gallstone disease to identify and characterize the SNPs in a Chinese population. For SNPs in the exons, case-control studies were performed on patients and controls. ResultsTwelve SNPs were found within a 16911 bp region of the ABCA2 gene. Among them, two were in the exons, ten in the introns and five were novel SNPs. There was no significant difference in the SNPs genotype between the patients and the controis. ConclusionsThere is an important ethnic difference in the SNPs distribution of the human ABCA2 gene. The distribution of SNPs in the coding regions of the human ABCA2 gene is not significantly different between the patients and the controls.

Carbapenem-resistant Klebsiella pneumoniae (CRKP) leads to high mortality of infected patients. How to deal with CRKP is an urgent problem in clinical practice, and it is imperative to carry out researchon carbapenem resistance mechanism of CRKP. The two-component systems (TCSs) areassociated with the development of drug resistance in a variety of bacteria, and TCSs were expected to be important therapeutic targets for CRKP. Therefore, this article reviewed the mechanisms of TCSs in the regulation of CRKP from the following several aspects: common mechanisms of carbapenem resistance of CRKP, research progress in drug resistance of TCSs, relationships between Klebsiella pneumoniae and TCSs, and so on. It may provide some research ideas for future research and the references for clinical diagnosis and treatment.

Objective:To explore the methods of confirming and grading the core competence possessed by clinical nurse midwives.Methods:By the objective sampling method, semi-structured interviews were conducted with 14 midwifery medical experts, managers, teachers and nurse midwives in Beijing from February 2018 to June 2018. The phenomenological research method in the qualitative research method was used to analyze the data.Results:Three themes were extracted, namely: the need to implement the nurse midwife core competency classification, classification method and characteristics at all levels of nurse midwife core competency and the positive effect of nurse midwife core competency classification on future work.Conclusions:Managers should assess the core competence of nurse midwives in various aspects and grade them according to their core competence, so as to improve the allocation of human resources for nurse midwives, improve their core competence and promote the safety and health of pregnant women and newborns.

Objective To evaluate the imaging findings of thoracic Castleman's disease (CD)to improve the diagnostic accuracy. Methods The imaging findings of 14 cases of thoracic CD confirmed by pathology were analyzed retrospectively.Plain and dynamic contrast-enhanced CT scans were performed in all patients before surgery.Results Among the 14 cases,10 cases were hyaline vascular type (HVT)and other 4 cases were plasma cell type (PCT).HVT-CD showed well-define,homogeneous soft-tissue lesion with different sizes of lymph nodes around the lesions in 2 cases,mottled calcification in 2 cases and coarse calcification in 1 case.Dynamic enhanced CT showed HVT-CD had obvious enhancement in arterial phase,and sustained enhancement in venous phase and delayed phase.PCT-CD all showed enlarged lymph nodes in the mediastinum and bilateral axillary,associated with interstitial pneumonia,pulmonary nodules,ground glass opacity and pleural effusion,with marked and sustained enhancement 1 case.Conclusion Thoracic HVT-CD presents equal density on CT plain scan,and obvious and durative enhanement on multiphase contrast-enhanced CT,which can be accompanied by lymphnodes around the lesions and intratumoral calcification.With the above imaging findings,we should consider the possibility of HVT-CD.CT features of PCT-CD are non-specific,a comprehensive evaluation of the clinical data should be combined,but the obviously enhanced PCT-CD can be diagnosed.

Objective To observe the risk factors of recurrence after ultrasound-guided thermal ablation for treating uremia secondary hyperparathyroidism(SHPT).Methods Totally 59 patients with uremia SHPT who underwent ultrasound-guided thermal ablation were enrolled,including 23 cases with(relapse group)and 36 without SHPT recurrence(non relapsed group).Clinical data were compared between groups,univariate and multivariate logistic regression analysis were performed to screen independent risk factors of SHPT recurrence.Results There were significant differences of serum free thyroxine(FT4),urea,intact parathyroid hormone(iPTH)1 day after ablation,1 day decrease rate of iPTH,the maximum diameter of the largest nodule,ablation time,total ablation energy,energy to volume ratio and the proportion of 1 day decrease rate of iPTH≤90%between groups(all P＜0.05).Higher urea,lower energy to volume ratio and 1 day decrease rate of iPTH≤90%were all independent risk factors of SHPT recurrence(all P＜0.05).Conclusion Higher urea,lower energy to volume ratio and 1 day decrease rate of iPTH≤90%were independent risk factors of recurrence after ultrasound-guided thermal ablation for treating uremia SHPT.

Objective To evaluate the accuracy of three-dimensional(3D)reconstruction of the gallbladder volume based on computed tomography(CT)images and study the biomechanical changes in gallbladder motility to explore the relationship between gallbladder dynamics and gallstone formation.Methods A method for calculating gallbladder volume based on CT 3D reconstruction of The gallbladder model was proposed and compared with the ellipsoid method.A finite element model of the gallbladder was constructed for fluid dynamics analysis to simulate changes in gallbladder motor function under different angles of convergence between the cystic and common bile ducts and in the presence of gallstones.Results The mean errors of the specific gallbladder model volume and ellipsoid volume of the 50 patients were 7.26％and 25.35％,respectively.During the refilling period,the maximum pressure,deformation,and flow velocity of the pear-shaped gallbladder were significantly higher than those of the gourd-shaped gallbladder.The angle between the gallbladder and common bile duct had little effect on the bile flow pattern,and the maximum bile flow rate was reached at an angle of 120°.The bile flow velocity of the gallbladder with calculus was lower than that of the gallbladder without calculus,and there was a vortex near the calculus.Conclusions Calculating gallbladder volume based on CT 3D reconstruction is more accurate than the ellipsoid method.Compared with a pear-shaped gallbladder,a gourd-shaped gallbladder has lower gallbladder wall contraction,bile flow rate,and poor motor function.The bile flow rate in the gallbladder is slow,which is more likely to lead to the enlargement of gallstones or the formation of new gallstones.

Objective:To establish and validate a gallstones classification method based on deep learning.Methods:A total of 618 gallstones samples were collected from East Hospital Affiliated to Tongji University, and 1 023 high-definition cross-sectional gallstones profile images were captured to construct a cross-sectional gallstones profile image dataset. Based on the traditional eight-category gallstones classification method, a lightweight network model, MobileNet V3, was trained using deep learning and transfer learning methods. The classification performance of MobileNet was evaluated using a confusion matrix with metrics such as accuracy rate, precision rate, F1 score, and recall rate. The MobileNet V3 was improved and further validated using accuracy and loss values.Results:The accuracy rate (94.17%), precision rate (94.03%), F1 score (92.96%) and recall rate (92.99%) of the improved MobileNet V3 model were better than other networks. The improved MobileNet V3 model achieved the highest accuracy rate (94.17%) in gallstones profile classification and was validated by the test set. The confusion matrix showed a weighted average of accuracy rate (92.0%), precision rate (92.6%), and F1 score (92.2%) for each category of gallstones.Conclusions:Based on deep learning, a high-accuracy gallstones classification method is proposed, which provides a new idea for the intelligent identification of gallstones.