Objective:To discuss the method for establishing the rat models of irritable bowel syndrome(IBS)by chronic water avoidance stress(WAS)method,and to evaluate its feasibility.Methods:Thirty male Wistar rats were randomly divided into control group(n=10)and model group(n=20).The rats in model group were induced by WAS method for 1 h everyday,lasting for 10 consecutive days;the rats in control group underwent no interventions.After modeling,the general conditions and body weights of the rats in two groups were observed and recorded.The elevated plus maze(EPM)test was used to detect the percentages of the number of open arm entries(OE)and the time spent in open arms(OT)of the rats in two groups;the abdominal withdrawal reflex(AWR)test was used to assess the visceral sensitivity of the rats in two groups;electrocardiography was used to detect the heart rate variability(HRV)of the rats in two groups;electromyography(EMG)of the external oblique muscle was used to detect the colorectal pain sensitivity thresholds of the rats in two groups;multi-channel physiological signal recorder was used to monitor the slow wave frequency of the colon of the rats in two groups.Results:There were no death rats in both groups during the modeling period.After modeling,the rats in model group exhibited poor mental status,reduced spontaneous activity,hypoactivity,disordered and dull fur,irritability,and unclean anal areas;whereas,the rats in control group showed no significant changes in the mental state,spontaneous activity,fur,and perianal area.Compared with control group,the body weight of the rats in model group was significantly decreased(P<0.05).The EPM test results showed that compared with control group,the OE percentage and OT percentage of the rats in model group were significantly decreased(P<0.01).The AWR test results showed that 12 rats in model group scored≥3 points,indicating that the successful rate in creating the visceral pain models was 60%.Compared with control group,the low frequency(LF)signals and the ratio of LF/high frequency(HF)of the rats in model group were significantly increased(P<0.01),and the HF was significantly decreased(P<0.05).The EMG results showed that compared with control group,the coloretal pain sensitivity threshold of the colon of the rats in model group was significantly decreased(P<0.01),and the slow wave frequency of the colon was significantly increased(P<0.01).Conclusion:The WAS method for establishing the rat model of IBS effectively demonstrates the changes in behavior and mental state,increased the visceral sensitivity,accelerated colonic slow wave frequency,and autonomic nervous system imbalance;the WAS method can serve as an effective modeling approach for observing and evaluating the related drugs and interventions on treatment of IBS.

ObjectiveTo investigate the effect of Glycyrrhizae Radix et Rhizoma （GR）-containing serum on lipopolysaccharide （LPS）-induced inflammation in human colon epithelial adenocarcinoma cells （Caco2） based on inhibition of ferroptosis by the nuclear factor erythroid 2-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） pathway. MethodCaco2 cells were divided into a normal group， a model group （LPS， 200 μg·L^-1）， low-， medium-， and high-dose GR-containing serum groups （5%， 10%， 20%）， and a ferroptosis inhibitor group （3-amino-4-cyclohexylamino-benzoic acid ethyl ester， Fer-1， 10 μmol·L^-1）. The cells in the normal group were cultured normally， while those in other groups underwent the induction of an inflammation model. The cells in the low-， medium-， and high-dose GR-containing serum groups were treated with 5%， 10%， and 20% GR-containing serum for 24 hours， respectively， and the cells in the ferroptosis inhibitor group were treated with Fer-1 for 24 hours. Transmission electron microscopy was used to observe mitochondrial morphology in each group. Flow cytometry was used to detect intracellular Fe²⁺ levels. Microplate assays were performed to measure superoxide dismutase （SOD） activity， malondialdehyde （MDA） and glutathione peroxidase （GSH-Px） levels. Enzyme-linked immunosorbent assay （ELISA） was used to measure interleukin-1β （IL-1β）， IL-6， IL-10， and tumor necrosis factor-α （TNF-α） levels. Western blot was used to measure the expression levels of Nrf2， HO-1， ferritin heavy chain 1 （FTH1）， and glutathione peroxidase 4 （GSH-Px4） proteins. Small interfering RNA （siRNA） was used to investigate the role of Nrf2 in ferroptosis regulation. The cells after interference were divided into a negative control （NC） group， a Si-Nrf2 group， a GR-containing serum （20%） + Si-Nrf2 group， and a GR-containing serum （20%） + NC group. Microplate assays were performed to measure MDA， SOD， and GSH-Px levels， and Western blot was used to measure the expression levels of Nrf2， HO-1， FTH1， and GSH-Px4 proteins. ResultCompared with the normal group， the model group showed mitochondrial contraction， increased mitochondrial membrane thickness， and smaller mitochondrial morphology， increased Fe²⁺ content （P<0.01）， blunted SOD activity （P<0.01）， decreased GSH-Px expression （P<0.01）， increased MDA content （P<0.01）， reduced expression levels of Nrf2 and HO-1 （P<0.05）， reduced FTH1 expression （P<0.01）， and down-regulated GSH-Px4 expression （P<0.01）. In the GR-containing serum groups， the medium- and high-dose groups showed a significant decrease in Fe²⁺ content （P<0.01）， potentiated SOD and GSH-Px activities （P<0.01）， and decreased MDA levels （P<0.01）. The high-dose group showed a significant increase in Nrf2 expression （P<0.05）， and the medium-dose group showed increased expression of HO-1 and GSH-Px4 proteins （P<0.05）. The expression levels of FTH1 significantly increased in the low-， medium-， and high-dose groups （P<0.01）. The study on mechanism revealed that compared with the NC group， the cells transfected with Nrf2 siRNA showed increased MDA content （P<0.01）， blunted SOD activity （P<0.01）， decreased GSH-Px activity （P<0.01）， decreased expression of Nrf2 and HO-1 （P<0.01）， and reduced levels of FTH1 and GSH-Px4 proteins （P<0.01）. Compared with the Si-Nrf2 group， the cells treated with GR-containing serum showed a decrease in MDA content （P<0.01）， an increase in SOD activity （P<0.01）， an increase in GSH-Px activity （P<0.01）， increased expression of Nrf2 and FTH1 proteins （P<0.05）， and higher expression levels of HO-1 and GSH-Px4 proteins （P<0.01）. ConclusionGR-containing serum can reduce the inflammatory cytokines and oxidative stress levels in LPS-induced Caco2 cells. Its mechanism is related to the promotion of Nrf2/HO-1 signaling pathway expression， alleviating intracellular lipid peroxidation and inhibiting ferroptosis.

Objective Network pharmacology and molecular docking and molecular dynamics techniques were used to investigate the mechanism of action of Alhagi sparsifolia Shap.in the treatment of sepsis and to perform animal experimental verification.Methods First,we screened the effective ingredients and their action targets of Alhagi sparsifolia Shap.,meanwhile,screened relevant action targets for the treatment of sepsis,constructed a protein interaction(PPI)network,and performed topology analysis to draw a TCM disease target network diagram.Second,Kyoto Encyclopedia of genes and genomes enrichment analysis was performed for core targets in the network diagram,along with gene ontology functional enrichment analysis.This was followed by molecular docking and molecular dynamics simulation experiment validation of the core targets.Finally,mice were used for the verification of animal experiments.Results Thirty active components of Alhagi sparsifolia Shap.were screened out,and the top 5 ranked by degree value were quercetin,(-)-epigallocatechin,(-)-Epigallocatechin Gallate,genistein,kaempferol and epigallocatechin with 196 action targets;2144 disease-related targets for sepsis,105 targets for Alhagi sparsifolia Shap.-sepsis intersection,and the core targets were TNF,IL-6,AKT1,VEGFA,CASP3,IL-1β Et al.PI3K-Akt,TNF,HIF-1,AGE-RAGE,IL-17 and other signaling pathways are involved to mediate inflammatory responses,apoptosis and other biological processes to exert therapeutic effects on sepsis.Molecular docking results showed that camelina flavanoids bound equally well to each key target,among which the conformations with the lowest binding energy were(-)-Epigallocatechin Gallate-IL-6 and quercetin-IL-6.Molecular dynamics simulations were performed on the two pairs of complexes,and the results indicated that the stable binding could be achieved through a combination of electrostatic,van der Waals potential,and hydrogen bonding interactions.Animal experiments confirmed that Alhagi sparsifolia Shap.could inhibit the activation of PI3K/Akt signaling pathway,decrease the protein expression of Caspase-3,VEGF and reduced peripheral blood inflammatory factors secretion of TNF-α、IL-1βand IL-6,alleviating inflammatory injury in tissues and organs.Conclusion The therapeutic effect of Alhagi sparsifolia Shap.on sepsis is achieved through multi biological processes,multi targets,and multi pathways.It provides a certain theoretical basis for the clinical application of camel spines as well as sepsis treatment.

Abstract: To investigate the locations of sodium retention and the mechanism of its occurrence in the rat model of adriamycin nephrotic syndrome. Methods: The nephrotic syndrome model was established by tail vein injections of adriamycin twice two weeks(4 mg/kg in first week and 2 mg/kg in second week). Urine and blood biochemical parameters were detected; the contents of water and sodium in rat skin were detected respectively by desiccation and atomic absorption spectrometry; the content of glycosaminoglycan was analyzed by ELISA; the expression of tonicity-responsive enhancer binding protein(TonEBP), vascular endothelial growth factor C(VEGFC), vascular endothelial growth factor receptor 3(VEGFR3) and lymphatic vessel hyaluronan receptor-1(LYVE-1) in the renal cortical was detected by Western blot; the lymphatic vessels distribution in the renal cortex was measured by immunofluorescence. Results: the model rats had increased urinary protein excretion, and abnormal renal function and lipid, which suggested the model was successfully established. The excretion of Na+in urine decreased, the content of skin sodium and glycosaminoglycan in skin obviously increased, the expression of TonEBP, VEGFC, VEGFR3, LYVE-1 in renal cortical markedly increased, and density of lymphatic vessels in renal cortical notably increased(P<0.05 orP<0.01). Conclusion Sodium retained in nephrotic syndrome rats may be stored in the skin, which is related to the TonEBP/VEGFC/VEGFR3 pathway.

Objective:To explore the clinical application value of routine indicators such as blood routine and liver and kidney function in auxiliary diagnosis and prognosis of COVID-19 patients.Methods:SNK-q and other methods were used to retrospectively analyzed the differences of blood routine test, liver and kidney function and other inflammatory indexes of 30 patients with covid-19, 29 patients with other viral pneumonia, 35 patients with influenza A/B and 25 healthy persons from January 28 to February 14, 2020 in Xiangya Hospital of Central South University.Results:The neutrophils count increased gradually in COVID-19 group, influenza A/B group and other types of viral pneumonia group, and the difference between COVID-19 group and other viral pneumonia groups was statistically significant( H=-19.064, P<0.05); The lymphocyte count decreased gradually in the control group, influenza A/B group, other viral pneumonia group and COVID-19 group. In addition, DB, UA and GLU were also different among groups. Subgroup analysis showed that there were statistically significant differences in N( F=9.581, t=-0.152, P<0.05), N%( F=5.723, t=-0.600, P<0.05), NLR( F=4.773, t=-1.161, P<0.05), PCT( F=17.464, t=-1.477, P<0.05)and CRP( F=7.656, t=-1.973, P<0.05) between patients with lung involvement +-++ and patients with lung involvement +++-++++. There were statistically significant differences in NLR( F=63.931, t=-2.815, P<0.01), AST( F=15.704, t=-1.930, P<0.01), ALT( F=35.551, t=-2.199, P<0.01), LDH( F=7.715, t=-2.703, P<0.05) and GLU( F=6.306, t=-5.116, P<0.05) between the light+common subgroup and the heavy+critical subgroup of COVID-19 clinical classification. Correlation analysis showed that clinical stage and imaging credit period were significantly correlated with NLR ( r=0.406 , P=0.026; r=0.397 , P=0.030), ALT ( r=0.403 , P=0.049; r=0.418 , P=0.047), LDH ( r=0.543 , P<0.01; r=0.643 , P<0.01) and GLU( r=0.750 , P<0.01; r=0.471 , P=0.042). A total of 5 principal components were extracted from all the included indicators, and the comprehensive information extraction rate was 82.86%. Indicators of a large load included Ur, PCT and CRP in PC1; ALT, AST and GLU in PC2; N%, L%, L and NLR in PC3. It indicated that the indicators of acute infection, liver function and blood routine had certein warning effect on disease surveillance. The results of ROC curve analysis showed that the combined detection of N+TB+Urea was the best practice to distinguish COVID-19 and other viral pneumonia, while the combined detection of N+L+UA was the most effective solution to make a distinction between COVID-19 and influenza A/B patients. In the aspect of disease evaluation, NL+LDH+GLU+ALT combined detection represent the best diagnostic performance to distinguish the clinical stage of light+common type and heavy+critical type, achieving the AUC (ROC) to 0.904, with the sensitivity 75% and the specificity 100% at the cut-off value of 0.477. Conclusion:In addition to etiology and imaging examination, doctors can also improve the routine laboratory tests such as blood routine test, liver and kidney function to assist diagnosis and disease prediction of patients with respiratory tract infection.

Objective:To explore the clinical application value of routine indicators such as blood routine and liver and kidney function in auxiliary diagnosis and prognosis of COVID-19 patients.Methods:SNK-q and other methods were used to retrospectively analyzed the differences of blood routine test, liver and kidney function and other inflammatory indexes of 30 patients with covid-19, 29 patients with other viral pneumonia, 35 patients with influenza A/B and 25 healthy persons from January 28 to February 14, 2020 in Xiangya Hospital of Central South University.Results:The neutrophils count increased gradually in COVID-19 group, influenza A/B group and other types of viral pneumonia group, and the difference between COVID-19 group and other viral pneumonia groups was statistically significant( H=-19.064, P<0.05); The lymphocyte count decreased gradually in the control group, influenza A/B group, other viral pneumonia group and COVID-19 group. In addition, DB, UA and GLU were also different among groups. Subgroup analysis showed that there were statistically significant differences in N( F=9.581, t=-0.152, P<0.05), N%( F=5.723, t=-0.600, P<0.05), NLR( F=4.773, t=-1.161, P<0.05), PCT( F=17.464, t=-1.477, P<0.05)and CRP( F=7.656, t=-1.973, P<0.05) between patients with lung involvement +-++ and patients with lung involvement +++-++++. There were statistically significant differences in NLR( F=63.931, t=-2.815, P<0.01), AST( F=15.704, t=-1.930, P<0.01), ALT( F=35.551, t=-2.199, P<0.01), LDH( F=7.715, t=-2.703, P<0.05) and GLU( F=6.306, t=-5.116, P<0.05) between the light+common subgroup and the heavy+critical subgroup of COVID-19 clinical classification. Correlation analysis showed that clinical stage and imaging credit period were significantly correlated with NLR ( r=0.406 , P=0.026; r=0.397 , P=0.030), ALT ( r=0.403 , P=0.049; r=0.418 , P=0.047), LDH ( r=0.543 , P<0.01; r=0.643 , P<0.01) and GLU( r=0.750 , P<0.01; r=0.471 , P=0.042). A total of 5 principal components were extracted from all the included indicators, and the comprehensive information extraction rate was 82.86%. Indicators of a large load included Ur, PCT and CRP in PC1; ALT, AST and GLU in PC2; N%, L%, L and NLR in PC3. It indicated that the indicators of acute infection, liver function and blood routine had certein warning effect on disease surveillance. The results of ROC curve analysis showed that the combined detection of N+TB+Urea was the best practice to distinguish COVID-19 and other viral pneumonia, while the combined detection of N+L+UA was the most effective solution to make a distinction between COVID-19 and influenza A/B patients. In the aspect of disease evaluation, NL+LDH+GLU+ALT combined detection represent the best diagnostic performance to distinguish the clinical stage of light+common type and heavy+critical type, achieving the AUC (ROC) to 0.904, with the sensitivity 75% and the specificity 100% at the cut-off value of 0.477. Conclusion:In addition to etiology and imaging examination, doctors can also improve the routine laboratory tests such as blood routine test, liver and kidney function to assist diagnosis and disease prediction of patients with respiratory tract infection.

When applying deep learning to the automatic segmentation of organs at risk in medical images, we combine two network models of Dense Net and V-Net to develop a Dense V-network for automatic segmentation of three-dimensional computed tomography (CT) images, in order to solve the problems of degradation and gradient disappearance of three-dimensional convolutional neural networks optimization as training samples are insufficient. This algorithm is applied to the delineation of pelvic endangered organs and we take three representative evaluation parameters to quantitatively evaluate the segmentation effect. The clinical result showed that the Dice similarity coefficient values of the bladder, small intestine, rectum, femoral head and spinal cord were all above 0.87 (average was 0.9); Jaccard distance of these were within 2.3 (average was 0.18). Except for the small intestine, the Hausdorff distance of other organs were less than 0.9 cm (average was 0.62 cm). The Dense V-Network has been proven to achieve the accurate segmentation of pelvic endangered organs.
Algorithms ; Humans ; Image Processing, Computer-Assisted ; Imaging, Three-Dimensional ; Neural Networks, Computer ; Organs at Risk ; Pelvis ; Tomography, X-Ray Computed

Objective:To resolve the issue of poor automatic segmentation of the bowel in women with pelvic tumors, a Dense V-Network model was established, trained and evaluated to accurately and automatically delineate the bowel of female patients with pelvic tumors.Methods:Dense Net and V-Net network models were combined to develop a Dense V-Network algorithm for automatic segmentation of 3D CT images. CT data were collected from 160 patients with cervical cancer, 130 of which were randomly selected as the training set to adjust the model parameters, and the remaining 30 were used as test set to evaluate the effect of automatic segmentation.Results:Eight parameters including Dice similarity coefficient (DSC) were utilized to quantitatively evaluate the segmentation effect. The DSC value, JD, ΔV, SI, IncI, HD (cm), MDA (mm), and DC (mm) of the small intestine were 0.86±0.03, 0.25±0.04, 0.10±0.07, 0.88±0.05, 0.85±0.05, 2.98±0.61, 2.40±0.45 and 4.13±1.74, which were better than those of any other single algorithm.Conclusion:Dense V-Network algorithm proposed in this paper can deliver accurate segmentation of the bowel organs. It can be applied in clinical practice after slight revision by physicians.

Objective To evaluate the accuracy and validate the feasibility of auto-segmentation based on self-registration and Atlas in adaptive radiotherapy for cervical cancer using MIM-Maestro software.Methods The CT scan images and delineation results of 60 cervical cancer patients were obtained to establish the Atlas template database.The planning CT (pCT) and replanning CT (rCT) images were randomly selected from 15 patients for the contouring of clinical target volume (CTV) and organs at risk (OAR) by an experienced radiation oncologist.The rCT images of 15 patients were auto-contoured using Atlas-based auto-segmentation (Atlas group),and mapping contours from the pCT to the rCT images was performed by rigid and deformable image registration (rigid group and deformable group).The time for the three methods of auto-segmentation was also recorded.The similarity of the auto-contours and reference contours was assessed using dice similarity coefficient (DSC),overlap index (OI),the average hausdorff distance (AHD) and the deviation of centroid (DC),and the results were statistically compared among three groups by using one-way analysis of variance.Results The mean time was 89.2 s,22.4 s and 42.6 s in the Atlas,rigid and deformable groups respectively.The DSC,OI and AHD for the CTV and rectum in the rigid and deformable groups significantly differed from those in the Atlas group (all P＜0.001).In the rigid and deformable groups,the OI for the intestine significantly differed from that in the Atlas group.The mean DSC for CTV was 0.89 in the rigid and deformable groups,and 0.76 in the Atlas group.The optimal delineation of the bladder,pelvis and femoral heads was obtained in the deformable group.Conclusions AIl three methods of auto-segmentation can automatically and rapidly contour the CTV and OARs.The performance in the deformable group is better than that in the rigid and Atlas groups.

Objective To observe the changes of glycocholic acid (CG) and evaluate the diagnostic value of CG combined with total bile acid (TBA) and leucine aminopeptidase (LAP) in various liver diseases.Methods From October 2016 to March 2017,210 serum samples of healthy people,asymptomatic hepatitis B virus (HBV) infected,hepatitis,biliary obstruction,hepatocirrhosis and primary hepatocellular carcinoma patients were collected.CG and LAP were detected by corresponding kits,and liver function,coagulation function and other indicators of patients were collected and analyzed statistically.Results The serum level of CG were elevated in the 4 liver disease groups and differed statistically from the normal group or the asymptomatic HBV infected group.CG level was positively correlated with LAP (r =0.380,P ＜ 0.01).In liver function indexes,CG was correlated with total bilirubin (TB),direct bilirubin (DB),TBA and alkaline phosphatase (AKP).At the same time,CG was correlated with fibrinogen(Fib),thrombin time(TT).LAP and TBA were introduced into regression equation Y =-0.835 + 0.157X1 +0.312X2 (X1:LAP,X2:TBA,R2 =0.685) as final variables in multivariate linear regression to analyse the influencing factors of CG.Receiver operator characteristic (ROC) curve analysis showed that CG had the strongest ability to diagnose liver diseases in combination with LAP.Conclusions The change of CG level is of great significance in all kinds of liver diseases.The combination of LAP has the strongest ability to diagnose liver diseases.