Objective:To explore the value of the Nomogram model established by CT radiomics combined with clinical indicators for prediction of the severity of early acute pancreatitis (AP).Methods:From January 2016 to March 2023, the AP patients in the Second Affiliated Hospital of Soochow University were retrospectively collected. According to the revised Atlanta classification and definition of acute pancreatitis in 2012, all patients were divided into the severe group and the non-severe group. All patients were first diagnosed, and abdominal CT plain scan and enhanced scan were completed within 1 week. Patients were randomly (random number) divided into training and validation groups at a ratio of 7:3. The pancreatic parenchyma was delineated as the region of interest on each phase CT images, and the radiomics features were extracted by python software. LASSO regression and 10-fold cross-validation were used to reduce the dimension and select the optimal features to establish the radiomics signature. Multivariate Logistic regression was used to select the independent predictors of severe acute pancreatitis (SAP), and a clinical model was established. A Nomogram model was established by combining CT radiomics signature and clinical independent predictors. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to evaluate the predictive efficacy of each model.Results:Total of 205 AP patients were included (59 cases in severe group, 146 cases in non-severe group). 3, 5, 5 and 5 optimal radiomics features were selected from the plain CT scan, arterial phase, venous phase and delayed phase images of all patients, and the radiomics models were established. Among them, the arterial phase radiomics model had relatively better performance in predicting SAP, with an area under curve (AUC) of 0.937 in the training group and 0.913 in the validation group. Multivariate Logistic regression showed that C-reactive protein (CRP) and lactate dehydrogenase (LDH) were independent predictors of SAP, and they were used to establish a clinical model. The AUC in the training and validation groups were 0.879 and 0.889, respectively. The Nomogram model based on arterial phase CT radiomics signature, CRP and LDH was established, and the AUC was 0.956 and 0.947 in the training group and validation group, respectively. DCA showed that the net benefit of Nomogram model was higher than that of clinical model or radiomics model alone.Conclusions:The Nomogram model established by CT radiomics combined with clinical indicators has high application value for early prediction of the severity of AP, which is conducive to the formulation of clinical treatment plans and prognosis evaluation.

Objective To visually analyze the Chinese and English literature in the research field of Cistanches Herba through bibliometrics;To understand the research status and hotspots of Cistanches Herba;To provide reference for the related research.Methods Literature related to Cistanches Herba in CNKI and Web of Science core databases from January 1,2002 to December 31,2022 was retrieved.VOSviewer 1.6.18 was used for co-occurrence clustering and temporal overlay analysis of authors and keywords,while CiteSpace 6.1.R2 was used for keyword burst analysis.Results Totally 1 631 articles were included,including 1 481 Chinese articles and 150 English articles,and the overall number of publications was on the rise.This field has formed research teams represented by Guo Yuhai from Zhejiang Sci-Tech University,Tu Pengfei from Beijing University of Chinese Medicine,and Chen Jun and Xu Rong from Chinese Academy of Medical Sciences.High frequency keywords included Cistanches Herba,echinoside,phenylethanolside,high performance liquid chromatography,cistanche polysaccharide,artificial cultivation,anti-fatigue,etc.Conclusion The research in this field mainly focuses on TCM therapy,clinical study,etiology and pathogenesis.Network pharmacology,molecular biology,data mining and so on may become the focus of future research of Cistanches Herba.

Objective:To investigate the relationship between central venous-arterial blood carbon dioxide partial pressure difference (Pcv-aCO 2) and left ventricular ejection fraction(LVEF) in acute myocardial infarction. Methods:Clinical data of patients with acute myocardial infarction admitted to the Intensive Care Unit of Fujian Provincial Hospital from November 2019 to October 2021 were retrospectively analyzed. LVEF was measured by bedside echocardiogram. The patients were divided into the normal LVEF group (LVEF ≥ 52%) and decreased LVEF group (LVEF < 52%) according to LVEF. The differences in general information and hemodynamic parameters between the two groups were compared. The normality of the above data was tested by the Jarque-Bera test. Correlation analysis of hemodynamic indices with LVEF was performed. Binary logistic regression was used to analyze the risk factors associated with the decrease in LVEF. The feasibility of diagnosing LVEF decline with Pcv-aCO 2 was assessed using receiver operating characteristic (ROC) curve. Results:Seventy-two patients with acute myocardial infarction were included for analysis, including 25 patients in the normal LVEF group and 47 patients in the decreased LVEF group. Pcv-aCO 2 was significantly higher in the decreased LVEF group than that in the normal LVEF group [(7.13±1.19) mmHg vs. (5.41±1.23) mmHg, P<0.01]. There was a negative correlation between LVEF and Pcv-aCO 2 ( rs= -0.740, P<0.01). The area under the ROC curve for Pcv-aCO 2 was 0.849 (95% CI: 0.758-0.939, P<0.01). The binary logistic regression analysis showed that Pcv-aCO 2 was an independent risk factor for decreased LVEF ( OR=2.251, 95% CI: 1.326-3.820). Conclusions:To a certain extent, the increase of Pcv-aCO 2 can predict the decrease of LVEF in acute myocardial infarction.

Objective: To investigate the contamination of phthalic acid esters (PAEs) and assess the health risk of PAEs contamination in market-available yellow rice wine in Huzhou City, Zhejiang Province, so as to provide the safety safeguard for consuming yellow rice wine. Methods: Yellow rice wine samples were collected from markets in Huzhou City from 2021 to 2022, and 16 PAEs were determined in yellow rice wine using magnetic solid-phase extraction coupled with gas chromatography-tandem mass spectrometry. The carcinogenic and non-carcinogenic risks of PAEs were evaluated using the health risk models proposed by United States Environmental Protection Agency. Results: A total of 75 yellow rice wine samples were collected, and 44 samples were detected with PAEs contamination (58.67%). Dimethyl phthalate (DMP), di-isobutyl phthalate (DIBP) and di-butyl phthalate (DBP) were detected, and there were 17 samples (22.67%) detected with DBP overdose (DMP and DIBP had no limit standard). DMP, DBP and DIBP, which were not classified as Class 2B and higher carcinogens by WHO's International Agency for Research on Cancer, had no definitive carcinogenic risks. Under mean PAEs, the five types of yellow rice wine all had no carcinogenic risks. Under 75% percentile of PAEs concentrations, the DBP in beverage wine with plastic packaging had a carcinogenic risk score of 1.207 5, with a gross carcinogenic risk score of 1.207 5. Under the maximum PAEs concentration, the ross carcinogenic risk scores of cooking wine with plastic packaging, beverage wine with plastic packaging, beverage wine with glass bottle packaging, and beverage wine with jar packaging were 2.751 0, 2.782 0, 1.298 2 and 2.944 0, presenting non-carcinogenic risks. Conclusion There is PAEs contamination in market-available yellow rice wine in Huzhou City, and no carcinogenic risk is evaluated. Non-carcinogenic health risk requires to be given a high priority.

ObjectiveTo explore the therapeutic effect and mechanism of Yiqi Huoxue Tongbian prescription on slow transit constipation （STC） in rats. MethodThe rat model of STC was established by gavage of loperamide hydrochloride. Rats were assigned into control， model， mosapride， low-， medium-， and high-dose （3.51， 7.02， and 14.04 g·kg^-1， respectively） Yiqi Huoxue Tongbian prescription groups. The changes of general signs， fecal moisture content， and intestinal propulsion rate were measured after model establishment and drug administration. The colonic mucosal changes were observed by hematoxylin eosin staining. Enzyme-linked immunosorbent assay was employed to determine the content of substance P （SP） and vasoactive intestinal peptide （VIP） in the colon of rats in each group. The gray values of aquaporin （AQP） 3， AQP4， AQP8， and c-Kit in rat colon tissue were measured by immunohistochemistry and Western blot， and the changes of intestinal flora were detected by 16S rRNA high-throughput sequencing. ResultCompared with the model group， 10 days of treatment with Yiqi Huoxue Tongbian prescription increased the fecal moisture content and intestinal propulsion rate （P<0.01）. The medium- and high-dose Yiqi Huoxue Tongbian prescription groups and the mosapride group showed no obvious mucosal inflammation and neat arrangement of goblet cells with a large number in the colon tissue. Moreover， the three groups showed increased SP content （P<0.01） and decreased VIP content （P<0.01） in the serum. The medium- and high-dose Yiqi Huoxue Tongbian prescription groups showed down-regulated protein levels of AQP3， AQP4， and AQP8 （P<0.01） and up-regulated protein level of c-Kit （P<0.01）. The drug administration groups presented slightly increased observed species， Chao1， ACE， and Shannon， Simpson， and PD whole tree. The principal component analysis showed that the control group had a short distance with the high- and medium-dose Yiqi Huoxue Tongbian prescription groups， indicating that high- and medium-dose Yiqi Huoxue Tongbian prescription can recover the intestinal flora to that in the control group. ConclusionYiqi Huoxue Tongbian prescription can alleviate the defecation status of rats with slow transit constipation by down-regulating the expression of AQP3， AQP4， and AQP8 to reduce the absorption of water in the intestine， up-regulating the expression of c-Kit to increase the number and distribution of Cajal interstitial cells， and regulating the balance of flora in the colon tissue.

Geobacillus thermoglucosidasius is a kind of Gram-positive facultative anaerobic bacteria. The fast growth rate under high temperature and less susceptibility to microbial contamination enable G. thermoglucosidasius to be a desirable producer of biofuels and high-value-added chemicals for the next-generation industrial biotechnology. However, compared with the classical model strain Escherichia coli, the applications of G. thermoglucosidasius are hampered by its low transformation efficiency. This study aimed at obtaining competent cells with high transformation efficiency through inactivating restriction enzymes, adding cell membrane inhibitors and cell wall weakening agents. The results showed that the electro-transformation efficiency achieved 1.2×10⁴ CFU/(μg DNA) by knocking out four genes encoding restriction enzymes. Adding a certain amount of tween 80, dl-threonine and glycine further increased the competent efficiency about 22.5, 44, and 334 times, respectively. The electro-transformation efficiency was enhanced to 4.6×10⁶ CFU/(μg DNA) under the optimized conditions, laying a foundation for genetic manipulation and metabolic engineering of G. thermoglucosidasius.
Electroporation ; Electroporation Therapies ; Bacillaceae ; Cell Membrane ; Escherichia coli/genetics*

Objective:To establish and validate a nomogram model for early prediction of the risk of acute pancreatitis (AP) progressing to severe acute pancreatitis (SAP).Methods:CT signs and clinical laboratory parameters of 361 AP patients admitted to our Hospital from January 2016 to July 2022 were retrospectively collected. There were 221 males (61.2%) and 140 females (38.8%). According to the Atlantic score, all patients were divided into the SAP group (64 cases) and the non-SAP (NSAP) group (297 cases). Univariate analysis was used to screen out variables with statistically significant differences. Multivariate Logistic regression analysis was used to screen out the independent risk factors of SAP, and finally a nomogram prediction model was established. Receiver operating characteristic (ROC) curve, calibration curve and decision curve (DCA) were used to evaluate the predictive efficacy, accuracy and clinical practicability of the model, and Bootstrap method was used to verify the model internally.Results:Univariate analysis and multivariate Logistic regression analysis showed that pleural effusion ( OR=7.353, 95% CI: 3.344-16.170), posterior pararenal space (PPS) involvement ( OR=3.149, 95% CI: 1.314-7.527), serum creatinine concentration (Cr) ( OR=1.027, 95% CI: 1.017-1.038) and serum calcium concentration (Ca 2+) ( OR=0.038, 95% CI: 0.009-0.166) were independent risk factors for SAP ( P<0.05). A Nomogram model was established based on these four factors. The area under the ROC curve (AUC) of this model was 0.905 (95% CI: 0.869-0.933), indicating high predictive efficiency. Internal verification showed that the model had good accuracy in predicting SAP, and C-index was 0.90. DCA analysis showed that the model had high clinical practicability. Conclusions:The Nomogram model combining pleural effusion, PPS involvement, Cr and Ca 2+ had a good effect on early prediction of SAP, which could provide a new reference tool for clinical diagnosis and treatment.

Objective: To develop a magnetic solid-phase extraction combined with gas chromatography-tandem mass spectrometry (GC-MS/MS) based on pyrrole-modified magnetic nanoparticles to determine 16 types of phthalic acid esters (PAEs) in commercial liquors. Methods : Fe3O4 magnetic nuclei were prepared by hydrothermal synthesis, and the polypyrrole-modified magnetic nanomaterials were prepared with the chemical oxidation method. Magnetic solid-phase extraction of beer, grape wine, rice wine and Chinese spirits was performed at 10% alcohol by volume, extraction duration of 20 min and ethyl acetate elution of 10 min, followed by addition of 1 g NaCl for reduction of emulsification effect. The 16 types of PAEs were determined using GC-MS/MS with DB-5MS capillary column (30 m×250 μm, 0.25 μm) under the mode of electron impact ionization (EI) and dynamic multiple reaction monitoring (dMRM), with quantitative analysis using the external standard method. The standard curve, detection limit, spike recovery rate and precision of GC-MS/MS for determination of 16 types of PAEs were evaluated. Results: Pyrrole was successfully embedded onto the surface of magnetic nanoparticles in the form of polymer, and the magnetic nanoparticles modified by polypyrrole were well characterized, showing unapparent matrix and emulsification effects. There was a good linear relationship for the 16 types of PAEs at 50 to 5 000 ng/mL (r=0.999 5-0.999 9), and the spike recovery rate of 16 types of PAEs ranged from 71.61% to 110.50% at 100, 500 and 1 000 μg/kg, with relative standard deviations of 3.78% to 7.41%, detection limits of 0.02 to 1.47 μg/kg. PAEs were detected in 20 out of 50 liquor samples, with 30.00%, 60.00%, 40.00% and 70.00% detection rates in beer, grape wine, rice wine and Chinese spirits, respectively. Conclusions This method is sensitive to determine 16 types of PAEs in liquor samples, with unapparent matrix and emulsification effects, and the polypyrrole-modified magnetic composite nanoparticles present high adsorption of PAEs in liquor samples, which is feasible for monitoring of PAEs in multiple types of liquor samples.

With the rapid development of network technology and the situation of COVID-19 pandemic, the way people use the Internet has changed dramatically, causing the original network behavior to change again and again, and with its huge impact on people's mental and physical health.This paper deeply elaborate the connotation and development of network behavior and analyzes the impact of network behavior on people's health under COVID-19, then puts forward suggestions to speed up the construction of information infrastructure, strengthen network legislation, improve the information literacy of the whole population, and purify the network environment.

Objective:To explore the application of microfluidic chip in detection of hereditary deafness-associated hotspot mutations.Methods:The dedicatedly designed and fabricated microfluidic chip was integrated with kompetitive allele-specific polymerase chain reaction amplification system, scanned via laser-excited confocal fluorescence scanner, and finally analyzed programmatically to acquire the typing results of the 23 mutation sites of the four common genes associated with hereditary hearing loss. Dried blood spots were collected from 276 neonates containing the 131 cases with hearing loss who were born in 2019 in Chengdu (deafness group) and the 145 cases with normal hearing who were born in 2020 in Chengdu (control group), and analyzed by the microfluidic chip to evaluate its clinical performance.Results:By cluster analysis, the microfluidic chip correctly analyzed the 23 positive reference samples and acquired the same typing results as their actual results, with a limit of detection of 1 mg/L. For the 276 newborn blood spots, the detection results of the microfluidic chips were confirmed to be correct by the contrasting methods. Among Deafness Group, 66 (50.4%) tested positive for the selected 23 mutation hotspots; among Control Group, 40(27.6%) were positive. Among these mutations, c.109G>A of the GJB2 gene was the most prevalent one, whose carrier rate in deafness group and control group were 46.6%(61/131) and 23.4% (34/145), respectively.Conclusions:The micro-fluidic chip system was succeeded in fulfilling the hereditary deafness-related mutation detection, and offered many advantages including high specificity, avoiding the amplicon carryover contamination, simplifying the entire experimental operation process and short detection time, so as to better meet the detection requirement of genetic testing for deafness in newborn screening and other fields.