Background and purpose: Little about the function of p53 isoforms in gastric cancer was reported. This study was designed to explore the role ofΔ133p53 in the effect of recombinant mutant human tumor necrosis factor (rmhTNF) on gastric cancer cells, and provide a new basis for the diagnostics and therapeutics of gastric carcinoma. Methods: MKN45 (withΔ133p53 expression) or SGC7901 (withoutΔ133p53 expression) cells were treated with rmhTNF of different concentrations only or combined with 5-FU (a traditional gastric cancer cellular killer), and the growth inhibition rate and apoptosis was detected by CCK-8 and lfow cytometry. mRNA expressions ofΔ133p53, Gadd45αand CyclinB1 were measured by nested reverse transcription-polymerase chain reaction (nRT-PCR) or real-time polymerase chain reaction(RT-PCR). Results:On MKN-45 cells with positiveΔ133p53 expression, the inhibitory effect of rmhTNF was signiifcant, the inhibition rates of 50 and 500 IU/mL rmhTNF were 24.82%, 72.33%after culturing for 24 h (t=-9.558, P<0.01);also, the inhibitory effect of 5-FU was improved by rmhTNF remarkably in time-and dose-dependence, the inhibition rates of 5-FU (25 μg/mL), rmhTNF (50 IU/mL) combined with 5-FU (25 μg/mL), rmhTNF (500 IU/mL) combined with 5-FU (25 μg/mL) were 18.20%, 48.66%, 59.83%, separately, after culturing for 24 h (F=82.742, P<0.01);the inhibition rates of rmhTNF (50 IU/mL) combined with 5-FU (25 μg/mL) were 48.66%, 68.20%, 85.23%, separately, after culturing for 24 h, 48 h and 72 h (F=128.583, P<0.01). However, on SGC-7901 cells with negativeΔ133p53 expression, no growth inhibition was showed by rmhTNF only, the inhibition rates of 50 and 500 IU/mL were 2.74%, 3.25%after culturing for 24 h (t=-0.121, P>0.05). In apoptosis test, the apopto-sis-enhancing effect of rmhTNF was signiifcant on MKN45 cells, and the apoptosis-enhancing effect of 5-FU was fur-ther promoted signiifcantly by rmhTNF, the apoptosis of rmhTNF (50 IU/mL), rmhTNF (50 IU/mL) combined with 5-FU (25 μg/mL), rmhTNF (500 IU/mL) combined with 5-FU (25 μg/mL) were 18.20%, 48.66%, 59.83%, separately, after culturing for 24 h (F=123.931, P<0.05). In mRNA measurement, down-regulation ofΔ133p53 and CyclinB1, up-regula-tion of Gadd45αwere signiifcant in MKN45 cells treated by rmhTNF alone or combined with 5-FU. In nRT-PCR anal-ysis, the mRNA levels ofΔ133p53 were relatively 0.886, 0.499, 0.330, 0.161 (F=240.927, P<0.01);In real-time PCR analysis, the mRNA levels of Gadd45αwere 1.227, 1.694, 3.394, and the mRNA levels of CyclinB1 were 1.221, 0.722, 0.316, relatively. The expression ofΔ133p53 was positively related to CyclinB1 (r=0.977, P<0.01), but negatively re-lated to Gadd45α(r=-0.950, P<0.01). Conclusion:InΔ133p53 positively expressed MKN45 cells, rmhTNF showed as an effective tumor inhibitor and an enhancer of 5-FU as well, and this effect might be helped by two p53 down-stream molecules CyclinB1 and Gadd45α. The results suggest thatΔ133p53 might be a key target for the biological effect of rmhTNF against gastric cancer.

Background and purpose:Δ133p53 can promote tumor cell growth, but the exact mechanism is not clear. This study was aimed to observe the expression and signiifcant of the p53 isoformsΔ133p53 and p53 gene downstream molecules MDM2 and cyclin G1 genes by 5-FU-MKN45 gastric cancer cell line model. Methods:Af-ter using different concentrations of 5-FU (50μg/mL, 100μg/mL) to human gastric cancer cell line MKN45, inhibition rate should be detected by MTT assay, the changes ofΔ133p53 mRNA, MDM2 mRNA and cyclin G1 mRNA express-ing were detected by reverse transcription-polymerase chain reaction (RT-PCR). Differences between these groups were analyzed by ANOVA, comparisons within groups were analyzed by t-test, bivariate correlation was analyzed by Pearson linear correlation. Results:MTT results showed that with the increased concentration of 5-FU and the extension of time, the cell inhibition rates increased gradually. The inhibition rates of 50μg/mL 5-FU were 41.10%, 54.79%and 68.48%, for culturing 24, 48 and 72 hours. There were statistically signiifcant differences between the groups(F=45.52, P=0.00). The inhibition rates of 100μg/mL 5-FU were 69.53%, 78.21%and 86.92%, for culturing 24, 48 and 72 hours. There were statistically signiifcant differences between the groups(F=85.58,P=0.00). The inhibition rates of 50 and 100μg/mL were 41.10%and 69.53%, for culturing 24 hours. There were statistically signiifcant differences between the groups(F=51.29, P=0.00). The inhibition rates of 50 and 100μg/mL were 54.79%and 78.21%, for culturing 48 hours. There were statistically signiifcant differences between the groups(F=51.29, P=0.00). The inhibition rates of 50 and 100μg/mL were 68.48%and 86.82%, for culturing 72 hours. There were statistically signiifcant differences between the groups(104.91, P=0.00). RT-PCR results showed that with the increase of the concentration of 5-FU, theΔ133p53 mRNA, MDM2 mRNA and cyclin G1 mRNA expression gradually declined in gastric cancer cell line MKN45 cells, and there were statistically signiifcant differences between the groups(F=738.532, 1 396.607, 2 785.56,P=0.00). Cor-relation analysis showed that the expressions ofΔ133p53 mRNA and MDM2 mRNA in gastric cancer were positively correlated (r=0.871, P=0.01), while the expression of cyclin G1 mRNA and p53 mRNA had no obvious relevance (P=0.13). Conclusion:In the 5-FU-MKN45 gastric cancer cell line model, anti-tumor pathway ofΔ133p53 isomers is related with MDM2 but was not related with cyclin G1.

Objective:To evaluate the value of vasoactive-inotropic Score (VIS) at different time points in predicting the 28-day mortality of patients with septic shock, so as to reduce the risk of death and improve the prognosis of patients.Methods:This experiment was a single-center retrospective cohort study. The clinical data of 275 adult patients with septic shock who were treated with vasoactive drugs in the intensive care unit of the Affiliated Hospital of Xuzhou Medical University from February 2016 to February 2020 were collected. According to the 28-day survival condition, all recruited patients were divided into the death group and the survival group, and the maximum vasoactive-inotropic score of all patients at the first 24 h and the second 24 h were calculated, which were expressed as VIS max24 and VIS max48. Multivariate logistic regression analysis was used to find the independent risk factors that influencing the prognosis. The receiver operating characteristic curve was used to analyze the predictive value of VIS. Results:There was no significant difference between the death group and the survival group in the characteristics including age, sex, weight, infection sites, blood culture results, cardiac arrest, hormone use, and 24 h rehydration volume ( P>0.05). APACHE II score, basic lactic acid, and lactic acid after 24 h of treatment were increased significantly in the death group ( P<0.05). VIS max24 could accurately predict the 28-day mortality (AUC=0.953, 95% CI: 0.924-0.982), which were more efficent compared to VIS max48 (AUC=0.919, 95% CI: 0.881-0.957), basic lactic acid (AUC=0.937, 95% CI: 0.900-0.966) and APACHEⅡ score (AUC=0.865, 95% CI: 0.818-0.913). Conclusion:VIS max24 can more accurate predict the 28-day mortality in patients with septic shock.

Objective: The purpose of this study was to investigate the different categories of males within two groups, namely a community male sample who engaged in online sexual activities (OSAs) and a subclinical male sample who were out of control in viewing pornography and had sought help. Additionally, the study aimed to determine the threshold for excessive OSAs in both samples. Methods: A total of 568 community adult males who engaged in OSAs and 567 adult males seeking help for pornography use were recruited online. A latent profile analysis (LPA) was used to identify potential profiles within the samples. Cut-point analyses were conducted to determine optimal cutoff scores for OSAs in each sample. Results: The LPA revealed two categories with different cutoff scores for OSAs within each sample. Excessive OSA can be a screening tool for detecting out-of-control behavior. More stringent criteria for identifying excessive OSAs can aid in distinguishing problematic pornography use (PPU) from impaired control in viewing sexually-explicit materials (SEMs). Two subcategories of loss of control emerged: high OSAs frequency impaired control and high viewing SEMs impaired control. Conclusion The threholds of excessive OSAs varies among community and sub-clinical male samples; this knowledge can assist in screening out individuals with impaired control and selecting individuals with PPU from the subclinical sample.

Objective: The purpose of this study was to investigate the different categories of males within two groups, namely a community male sample who engaged in online sexual activities (OSAs) and a subclinical male sample who were out of control in viewing pornography and had sought help. Additionally, the study aimed to determine the threshold for excessive OSAs in both samples. Methods: A total of 568 community adult males who engaged in OSAs and 567 adult males seeking help for pornography use were recruited online. A latent profile analysis (LPA) was used to identify potential profiles within the samples. Cut-point analyses were conducted to determine optimal cutoff scores for OSAs in each sample. Results: The LPA revealed two categories with different cutoff scores for OSAs within each sample. Excessive OSA can be a screening tool for detecting out-of-control behavior. More stringent criteria for identifying excessive OSAs can aid in distinguishing problematic pornography use (PPU) from impaired control in viewing sexually-explicit materials (SEMs). Two subcategories of loss of control emerged: high OSAs frequency impaired control and high viewing SEMs impaired control. Conclusion The threholds of excessive OSAs varies among community and sub-clinical male samples; this knowledge can assist in screening out individuals with impaired control and selecting individuals with PPU from the subclinical sample.

Objective: The purpose of this study was to investigate the different categories of males within two groups, namely a community male sample who engaged in online sexual activities (OSAs) and a subclinical male sample who were out of control in viewing pornography and had sought help. Additionally, the study aimed to determine the threshold for excessive OSAs in both samples. Methods: A total of 568 community adult males who engaged in OSAs and 567 adult males seeking help for pornography use were recruited online. A latent profile analysis (LPA) was used to identify potential profiles within the samples. Cut-point analyses were conducted to determine optimal cutoff scores for OSAs in each sample. Results: The LPA revealed two categories with different cutoff scores for OSAs within each sample. Excessive OSA can be a screening tool for detecting out-of-control behavior. More stringent criteria for identifying excessive OSAs can aid in distinguishing problematic pornography use (PPU) from impaired control in viewing sexually-explicit materials (SEMs). Two subcategories of loss of control emerged: high OSAs frequency impaired control and high viewing SEMs impaired control. Conclusion The threholds of excessive OSAs varies among community and sub-clinical male samples; this knowledge can assist in screening out individuals with impaired control and selecting individuals with PPU from the subclinical sample.

Objective: The purpose of this study was to investigate the different categories of males within two groups, namely a community male sample who engaged in online sexual activities (OSAs) and a subclinical male sample who were out of control in viewing pornography and had sought help. Additionally, the study aimed to determine the threshold for excessive OSAs in both samples. Methods: A total of 568 community adult males who engaged in OSAs and 567 adult males seeking help for pornography use were recruited online. A latent profile analysis (LPA) was used to identify potential profiles within the samples. Cut-point analyses were conducted to determine optimal cutoff scores for OSAs in each sample. Results: The LPA revealed two categories with different cutoff scores for OSAs within each sample. Excessive OSA can be a screening tool for detecting out-of-control behavior. More stringent criteria for identifying excessive OSAs can aid in distinguishing problematic pornography use (PPU) from impaired control in viewing sexually-explicit materials (SEMs). Two subcategories of loss of control emerged: high OSAs frequency impaired control and high viewing SEMs impaired control. Conclusion The threholds of excessive OSAs varies among community and sub-clinical male samples; this knowledge can assist in screening out individuals with impaired control and selecting individuals with PPU from the subclinical sample.

Objective: The purpose of this study was to investigate the different categories of males within two groups, namely a community male sample who engaged in online sexual activities (OSAs) and a subclinical male sample who were out of control in viewing pornography and had sought help. Additionally, the study aimed to determine the threshold for excessive OSAs in both samples. Methods: A total of 568 community adult males who engaged in OSAs and 567 adult males seeking help for pornography use were recruited online. A latent profile analysis (LPA) was used to identify potential profiles within the samples. Cut-point analyses were conducted to determine optimal cutoff scores for OSAs in each sample. Results: The LPA revealed two categories with different cutoff scores for OSAs within each sample. Excessive OSA can be a screening tool for detecting out-of-control behavior. More stringent criteria for identifying excessive OSAs can aid in distinguishing problematic pornography use (PPU) from impaired control in viewing sexually-explicit materials (SEMs). Two subcategories of loss of control emerged: high OSAs frequency impaired control and high viewing SEMs impaired control. Conclusion The threholds of excessive OSAs varies among community and sub-clinical male samples; this knowledge can assist in screening out individuals with impaired control and selecting individuals with PPU from the subclinical sample.

Objective: To investigate the dynamic change of paraquant-induced kidney injury in rats and the protective effect of edaravone. Methods: Eighty SD rats were randomly divided into 4 groups: the normal control group, paraquat poisoning group, edaravone treatment group and edaravone control group. The normal control group of 8 rats were given 1 ml of 0.9% sodium chloride through the abdominal cavity, and the same amount of fluid into the abdominal cavity after 30 minutes. The paraquat poisoning group of 24 rats were given 1 ml of paraquat solution (20 mg/kg) through the abdominal cavity to build poisoning models, and the same amount of 0.9% sodium chloride was injected into the abdominal cavity after 30 minutes. The edaravone treatment group of 24 rats were given edaravone (5 mg/kg) through the abdominal cavity after 30 minutes when the poisoning models were set up. The edaravone control group of 24 rats were given 1 ml of 0.9% sodium chloride through the abdominal cavity, and edaravone (5 mg/kg) was injected into the abdominal cavity after 30 minutes. In addition to the normal control group, the other groups processed 1 times a day to mantain 7 d. On 1, 3, 7, 21 d several rats in each group were excuted and the kidney tissue and serum samples were collected, then each pathological changes of the kidney were observed with light microscopy. Serum creatinine, KIM-1, NGAL were measured by ELISA, the expression of HSP70 protein in kidney were observed with immunohistochemical staining. Results: The pathological examination reveald that the damage of kidney tissue in the paraquat group was the most serious on 3 d, and the damage was consistently alleviated in edaravone treatment group at the same time, renal fibrosisn was unseen in each group until 21 d. Compared with normal control group, there was no statistically significant in edaravone control group (P>0.05) . The KIM-1 in blood and kidney in paraquat poisoning group were markedly increased in 1 d (P<0.05) . The NGAL in blood and creatinine were markedly increased in d7 (P<0.05) . The NGAL in kidney increased over time, but had no statistically difference with the control group (P>0.05) .Compared with paraquat poisoning group, the serum creatinine, KIM-1 in blood and kidney, the KIM-1 in kidney had decreased significantly in edaravone treatment group (P<0.05) . The NGAL in kidney has no statistically significant compared with the poisoning group (P>0.05) . HSP70 expression of kidney tissue in edaravone treatment group had significantly increased in d3 compared with the paraquat poisoning group (P<0.05) . Conclusion Edaravone can prompt a significant rise of HSP70 in kidney tissue, reduce KIM-1 and NGAL levels, and play a protective role in kidney injury of acute paraquat poisoning.

Objective To investigate the relationships between the C6 glioma haemodynamic response and basal blood perfusion parameters.Methods Ten Wistar rats with C6 gliomas implanted subcutaneously have undergone Carbogen-induced steady state free precession functional MRI (SSFP fMRI)examination,followed dynamic contrast enhancement MRI (DCE-MRI)examination in the normal air breathing.For each glioma,5 regions of interest(ROI)were drawed randomly on SSFP fMRI images,and the percentage of signal change(PSC)of each ROI was calculated with the analysis of functional neuroimages (AFNI)software.The dynamic signal intensity of ROI in DCE-MRI on the same space and location was fitted by Hoffmann model in R language software,thus to obtain basal blood perfusion parameters (Akep and kel).Distribution-free and small-sample-size-oriented permutation test was used to investigate the relationships between PSC and basal blood perfusion parameters.Results 50 ROI were drawed randomly from 10 glioma. There were no statistically relationship between PSC and Akep,or between PSC and kel (F=0.629 8,P=0.431 3;F=1.859,P=0.179 1).Conclusion The glioma basal blood perfusion could not predict the PSC of SSFP fMRI.