With the reform of the national medical and health system entering a new stage of high-quality development of public hospitals,the large-scale implementation of day surgery in hospitals is imminent in the face of increasing patient demand.In this paper,the medical administration management and medical insurance policies related to day surgery in China and their im-pacts were sorted out,and the example of large-scale implementation of day surgery by a specialized ophthalmic medical institu-tion through pre-hospitalization mode was used to illustrate how to use management tools to break through the bottleneck in the promotion process of day surgery,and the positive effect of large-scale development of day surgery on both doctors and patients was expounded.

Objective:This study aimed to investigate the correlation between the levels of serum amyloid A protein (SAA) and apolipoprotein A-Ⅰ (ApoA-Ⅰ) with the severity and prognosis of septic patients, in order to find new clinical prognostic markers for sepsis patients.Methods:This study prospectively included patients admitted to the intensive care unit of Northern Jiangsu People's Hospital from September 2021 to February 2022. Patients were diagnosed with sepsis according to the Sepsis-3 criteria and aged between 18 and 80 years old. Peripheral venous blood samples were collected at 0 h, 24 h, and 72 h after inclusion in the study, measured the levels of ApoA-Ⅰ and SAA, and the 72 h ΔSAA and 72 h ΔApoA-Ⅰwere calculated.. Patient demographics, laboratory parameters, acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) scores, sequential organ failure assessment scores, etc., were recorded. Patients were divided into survival and death groups based on outcomes, and were divided into shock and non-shock groups based on the presence of shock. Logistic regression was used to combine ApoA-I and SAA to establish a new combined index. Receiver Operating Characteristic curve analysis was performed to evaluate the predictive value of SAA, ApoA-Ⅰ, 72 h ΔApoA-Ⅰ, 72 h ΔSAA and the combined SAA and ApoA-Ⅰ for the prognosis of sepsis patients.Results:A total of 108 patients were included in the analysis, with 48 cases in the non-septic shock group and 60 cases in the septic shock group; 77 cases in the survival group and 31 cases in the death group. There were statistically significant differences in SAA and ApoA-Ⅰ levels at each time point between the shock and non-shock groups (all P<0.05), as well as between the death and survival groups (all P<0.05). SAA levels at each time point were positively correlated with APACHEⅡ scores (all P<0.001), while ApoA-Ⅰ levels at each time point were negatively correlated with APACHEⅡ scores (all P<0.01). SAA levels could predict the risk of death in sepsis patients, with the highest area under curve (AUC) value at 24 h SAA (AUC=0.713, P=0.001), sensitivity was 65.3%, and specificity was 72.7% for predicting 28-day mortality in sepsis. ApoA-Ⅰ levels at each time point could also predict the risk of death in sepsis patients, with the highest AUC value at 72 h ApoA-Ⅰ (AUC=0.743, P<0.001), sensitivity was 69.4%, and specificity was 77.1% for predicting 28-day survival in sepsis. The combined detection of 24 h SAA and 72 h ApoA-Ⅰ increased the AUC value (AUC=0.758, P<0.05), but the Z test showed that the prediction of death risk in patients with sepsis was not significantly higher than that of a single index ( P>0.05). Conclusions:Serum levels of SAA and ApoA-Ⅰ could reflect the severity of sepsis in patients and serve as independent indicators for predicting the prognosis of sepsis patients. The overall diagnostic efficacy of the combined SAA and ApoA-Ⅰ was not significantly different from that of a single index.

Objective:To establish a risk predictive model nomogram of acute kidney injury (AKI) in critically ill patients by combining urinary tissue inhibitor of metalloproteinase 2 (TIMP2) and insulin-like growth factor-binding protein 7 (IGFBP7), and to verify the predictive value of the model.Methods:A prospective observational study was conducted. The patients with acute respiratory failure or circulatory disorder admitted to the intensive care unit (ICU) of Northern Jiangsu People's Hospital from November 2017 to April 2020 were enrolled. The patients were enrolled within 24 hours of ICU admission, and their general conditions and relevant laboratory test indicators were collected. At the same time, urine was collected to determine the levels of biomarkers TIMP2 and IGFBP7, and TIMP2·IGFBP7 was calculated. Patients were divided into non-AKI and AKI groups according to whether grade 2 or 3 AKI occurred within 12 hours after enrollment. The general clinical data and urinary TIMP2·IGFBP7 levels of patients between the two groups were compared. The indicators with P < 0.1 in univariate analysis were included in the multivariate Logistic regression analysis to obtain the independent risk factors for grade 2 or 3 AKI within 12 hours in critical patients. An AKI risk predictive model nomogram was established, and the application value of the model was evaluated. Results:A total of 206 patients were finally enrolled, of whom 54 (26.2%) developed grade 2 or 3 AKI within 12 hours of enrollment, and 152 (73.8%) did not. Compared with the non-AKI group, the patients in the AKI group had higher body mass index (BMI), pre-enrollment serum creatinine (SCr), urinary TIMP2·IGFBP7 and proportion of using vasoactive drugs, and additional exposure to AKI (use of nephrotoxic drugs before enrollment) was more common. Multivariate Logistic regression analysis showed that BMI [odds ratio ( OR) = 1.23, 95% confidence interval (95% CI) was 1.10-1.37, P = 0.000], pre-enrollment SCr ( OR = 1.01, 95% CI was 1.00-1.02, P = 0.042), use of nephrotoxic drugs ( OR = 2.84, 95% CI was 1.34-6.03, P = 0.007) and urinary TIMP2·IGFBP7 ( OR = 2.19, 95% CI was 1.56-3.08, P = 0.000) was an independent risk factor for the occurrence of grade 2 or 3 AKI in critical patients. An AKI risk predictive model nomogram was constructed based on the independent risk factors of AKI. Bootstrap validation results showed that the model had good discrimination and calibration in internal validation. Receiver operator characteristic curve (ROC curve) analysis showed that the area under the ROC curve (AUC) of urinary TIMP2·IGFBP7 alone in predicting grade 2 or 3 AKI within 12 hours in critical patients was 0.74 (95% CI was 0.66-0.83), the optimal cut-off value was 1.40 (μg/L) 2/1?000 (sensitivity was 66.7%, specificity was 85.0%), and the predictive performance of the model incorporating urinary TIMP2·IGFBP7 was significantly better than that of the model without urinary TIMP2·IGFBP7 [AUC (95% CI): 0.85 (0.79-0.91) vs. 0.77 (0.70-0.84), P = 0.005], net reclassification index (NRI) was 0.29 (95% CI was 0.08-0.50, P = 0.008), integrated discrimination improvement (IDI) was 0.13 (95% CI was 0.07-0.19, P < 0.001). Conclusion:The AKI risk predictive model based on urinary TIMP2·IGFBP7 has high clinical value and is expected to be used to early predict the occurrence of AKI in critically ill patients.

Sepsis-associated liver injury (SALI) is a common complication of sepsis, which is characterized by systemic immune disorders induced by sepsis leading to liver damage. Currently, there are no effective treatments for SALI, which is related to its complex pathophysiological mechanisms. In recent years, the disorder of intestinal environment after sepsis has been considered as an important factor for SALI, but the specific molecular mechanism of the above process is still unclear. This article will review the pathological role and molecular mechanisms between intestinal environmental disturbance and SALI, aiming to analyze the potential research direction of SALI and identify potential therapeutic targets for its treatment.

Objective:To evaluate the predictive value of mechanical power (MP) on the risk of in-hospital mortality in critical ill patients in emergency department.Methods:A total of 105 critical ill patients with invasive mechanical ventilation in the Department of Emergency of Second Affiliated Hospital of Guangzhou Medical University between December 1, 2017 and October 31, 2020 were retrospectively analyzed. Based on the clinical prognosis, the patients were divided into the in-hospital survival group (80 patients) and the in-hospital death group (25 patients). The clinical data and ventilator parameters were recorded, and the MP of the two groups was calculated in order to assess the predictive efficacy of MP on in-hospital death.Results:Compared to the in-hospital death group, the oxygenation index PaO 2/FiO 2 was significantly higher (271 mmHg vs. 217 mmHg, P=0.020) and blood lactate (1.59 mmol/L vs. 2.56 mmol/L, P<0.001) and procalcitonin (0.31 ng/mL vs. 3.55 ng/mL, P=0.028), minute ventilation (7.03 L/min vs.8.32 mmol/L, P=0.013), MP (14.37 J/min vs. 16.12 J/min, P=0.041), SOFA score (5 vs. 8, P=0.001) and APACHE II score (16 vs. 22, P=0.041) were significantly lower in the in-hospital survival group. Multivariate Logistic regression analysis showed that PaO 2/FiO 2( OR=1.015, P=0.044), MP ( OR=1.813, P=0.039) and SOFA score( OR=2.651, P=0.010) were independent risk factors for predicting hospital mortality in patients with mechanical ventilation. The areas under the ROC curves (AUC) were 0.62, 0.63 and 0.75, respectively. Moreover, the MP combined with SOFA score for predicting in-hospital death was significantly higher than that of MP alone (0.77 vs. 0.63, P<0.05). Conclusions:MP is associated with in-hospital death in patients with invasive mechanical ventilation in emergency department. MP combined with SOFA score can enhance its predictive efficacy

Objective:To study the signaling pathway of the up-regulation of claudin-5 expression by Xuebijing injection.Methods:Animal and cell models of acute respiratory distress syndrome (ARDS) were induced by lipopolysaccharide (LPS). ① In vivo study, 20 male Sprague-Dawley (SD) rats were randomly divided into 4 groups: control group, LPS group (LPS injection 10 mg/kg for 12 hours), Xuebijing control group (Xuebijing injection 1 mg/kg, twice a day, for 3 days), and Xuebijing intervention group (LPS injection after pretreatment of Xuebijing injection), according to random number method with 5 rats in each group. The lung tissues were taken to detect lung dry/wet weight ratio (W/D) and the morphological changes in each group. Claudin-5, phosphorylated forkhead box transcription factor O1 (p-FOXO1), total FOXO1 (t-FOXO1), phosphorylated Akt (p-Akt) and total Akt (t-Akt) in lung tissues were detected by immunohistochemical staining (IHC) and Western blotting. ② In vitro study, human pulmonary microvascular endothelial cells (HPMECs) were divided into 6 groups (5 holes in each group): control group, Xubijing control group (incubated with 2 g/L Xubijing for 24 hours), phosphoinositide 3-kinases (PI3K) signaling pathway LY294002 control group (incubated with 10 μmol/L LY294002 for 1 hour), LPS group (incubated with 1 mg/L LPS for 12 hours), Xubijing intervention group (incubated with 2 g/L Xuebijing for 24 hours, then with 1 mg/L LPS for 12 hours) and LY294002 intervention group (incubated with 10 μmol/L LY294002 for 1 hour, then with 2 g/L and Xubijing for 24 hours, and then with 1 mg/L LPS for 12 hours). The expression levels of claudin-5, p-FOXO1, t-FOXO1, p-Akt and t-Akt of HPMECs in each group were assessed by Western blotting. Results:In vivo study: ① Compared with the control group, the lung W/D ratio increased significantly in LPS group (6.79±0.42 vs. 4.19±0.13), and decreased significantly after the intervention of Xuebijing (4.92±0.38 vs. 6.79±0.42, P < 0.01). ② Morphological changes of lung tissue: compared with the control group, the injury of lung tissue in LPS group was more serious, which was significantly improved after Xuebijing intervention. ③ Expression levels of claudin-5, p-Akt/t-Akt and p-FOXO1/t-FOXO1: the expression levels of claudin-5, p-Akt/t-Akt and p-FOXO1/t-FOXO1 in LPS group were significantly decreased as compared with the control group (claudin-5/GAPDH: 0.33±0.03 vs. 1.03±0.07, p-Akt/t-Akt: 0.18±0.02 vs. 1.01±0.13, p-FOXO1/t-FOXO1: 0.16±0.06 vs. 1.00±0.19, all P < 0.01). After the intervention of Xuebijing, the expression levels were significantly increased as compared with the LPS group (claudin-5/GAPDH: 0.53±0.05 vs. 0.33±0.03, p-Akt/t-Akt: 0.56±0.12 vs. 0.18±0.02, p-FOXO1/t-FOXO1: 0.68±0.10 vs. 0.16±0.06, all P < 0.01). In vitro study: compared with the control group, the expression level of claudin-5 in the LPS group was significantly decreased (claudin-5/β-actin: 0.45±0.03 vs. 1.01±0.15, P < 0.01), and the expression level of claudin-5 in Xuebijing intervention group was also significantly decreased (claudin-5/β-actin: 0.80±0.08 vs. 1.01±0.15, P < 0.01). After the intervention of LY294002, the expression of claudin-5 was significantly decreased as compared with the Xubijing intervention group (claudin-5/β-actin: 0.41±0.02 vs. 0.80±0.08, P < 0.01). Conclusion:Xuebijing injection improve pulmonary vascular barrier function in rats with ARDS by up-regulating claudin-5 expression through PI3K/Akt/FOXO1 signaling pathway.

Objective:To study the effect of different crystalloid resuscitation on renal function in septic shock rabbits, and to provide a theoretical basis for the choice of crystalloid for clinical fluid resuscitation.Methods:Thirty-six healthy male New Zealand white rabbits were divided into six groups by random number table: control group, model group, and four crystalloid groups including normal saline (NS) group, lactate Ringer solution (LR) group, acetate Ringer solution (AR) group, and sodium potassium magnesium calcium glucose injection (SPMCG) group, with 6 rabbits in each group. Rabbits were infused with Escherichia coli lipopolysaccharide (LPS) 500 μg/kg via the marginal ear vein (infused at a constant speed within 20 minutes), and then continued to infuse in an increase of 300 μg/kg every 10 minutes, the maximum dose was 2 mg/kg, until the mean arterial pressure (MAP) dropped to 60% of the basal value, the septic shock model was considered to be successfully reproduced. The rabbits in the control group were not injected with LPS, and other operations were the same as in the model group. Different crystalloid groups were given crystal solution immediately after modeling for resuscitation (predetermined fluid volume 60 mL/kg, transfusion within 3 hours). The volume stress test was performed every hour to guide the fluid volume, and the stroke volume index increase rate (ΔSVI) < 15% was the end point of resuscitation. The control group and the model group were given NS 4 mL·kg -1·h -1 to maintain the physiological requirement. All groups were given tracheotomy and mechanical ventilation, and the hemodynamic changes were monitored by pulse-indicated continuous cardiac output (PiCCO). The dynamic changes of hemodynamic indexes, arterial blood gas analysis, electrolytes, blood glucose and renal function biomarkers were monitored before modeling, immediately after modeling and 3, 6, and 12 hours after resuscitation. Results:① Hemodynamic indicators: after modeling, the MAP in the model group and the four fluid resuscitation groups decreased significantly, the cardiac index (CI) increased, and the systemic vascular resistance index (SVRI), global end-diastolic volumn index (GEDVI) decreased. After different crystalloid resuscitation at different time points, MAP, SVRI, and GEDVI increased in the four crystalloid groups. ②Arterial blood gas analysis, electrolytes, blood glucose: blood lactic acid (Lac) in the model group and the four fluid resuscitation groups increased after model success. After fluid resuscitation, the Lac of each crystalloid group began to decrease and reached to the lowest at 12 hours. Compared with the LR, AR and SPMCG groups, the pH value decreased in the NS group at 6 hours and 12 hours of fluid resuscitation (6 hours: 7.29±0.00 vs. 7.40±0.02, 7.35±0.02, 7.37±0.02; 12 hours: 7.27±0.02 vs. 7.38±0.02, 7.39±0.02, 7.35±0.01; all P < 0.05). After fluid resuscitation, blood Cl - levels at 3, 6, and 12 hours in the NS group were significantly higher than those in the LR, AR and SPMCG groups (mmol/L: 113.4±0.6 vs. 101.4±3.6, 108.0±1.1, 106.0±0.8 at 3 hours; 115.1±2.0 vs. 101.1±2.7, 109.0±2.2, 105.3±0.6 at 6 hours; 116.9±0.1 vs. 104.2±4.4, 107.6±1.7, 108.7±0.6 at 12 hours; all P < 0.05). There was no significant difference in blood glucose at each time point among the four crystalloid groups. ③ Biomarkers of renal function: blood and urine neutrophil gelatinase associated lipocalin (NGAL) and cystatin C (Cys C) were significantly increased in the model group and four fluid resuscitation groups. After fluid resuscitation, blood, urine NGAL and Cys C decreased. There was no significant difference in blood, urine NGAL and Cys C at all the time points among the different fluid resuscitation groups. Conclusions:In the rabbit model of septic shock induced by Escherichia coli LPS, hyperchloremia and acidosis occurred after NS resucitation, but did not occur during the recovery of LR, AR and SPMCG. There was no difference in the effects of different crystalloid resuscitation on renal function in septic shock rabbits.

Objective:To investigate the risk factors and prognosis of early septic shock-related thrombocytopenia.Methods:Retrospective analysis of clinical data of patients with septic shock admitted to the department of intensive care unit (ICU) of Northern Jiangsu People's Hospital from June 2016 to November 2020 was conducted. According to the lowest platelet count (PLT) in the early stage of septic shock (within 24 hours of using vasoactive drugs), the patients were divided into mild thrombocytopenia group [PLT (50-100)×10 9/L], severe thrombocytopenia group (PLT < 50×10 9/L) and normal platelet group (PLT > 100×10 9/L). The differences in general information, laboratory indicators, mechanical ventilation time, length of ICU stay, in-hospital stay, and 28-day mortality among the three groups were analyzed. Multivariate Logistic regression was used to analyze the influencing factors of thrombocytopenia, and the 28-day Kaplan-Meier survival curve of patients with different PLT levels was drawn. Results:A total of 486 patients with septic shock were enrolled, including 123 patients with mild thrombocytopenia, 75 patients with severe thrombocytopenia and 288 patients with normal platelets. Patients with diabetes ( χ2 = 30.460, P < 0.001), abdominal infection ( χ2 = 15.024, P = 0.001), urinary tract infection ( χ2 = 36.633, P < 0.001), bloodstream infection ( χ2 = 7.755, P = 0.022), Gram negative (G -) bacilli infection ( χ2 = 19.569, P < 0.001), hyperlactic acidemia ( H = 23.404, P < 0.001), elevated procalcitonin (PCT, H = 43.368, P < 0.001), high acute physiology and chronic health evaluation Ⅱ (APACHEⅡ, F = 11.122, P < 0.001) and high sequential organ failure assessment (SOFA, F = 84.328, P < 0.001) were more likely to have thrombocytopenia within 24 hours of septic shock. Multivariate Logistic regression analysis of early septic shock-related thrombocytopenia showed that, diabetes [odds ratio ( OR) = 0.19, 95% confidence interval (95% CI) was 0.08-0.42, P < 0.001], urinary tract infection ( OR = 0.33, 95% CI was 0.13-0.83, P = 0.018), G - bacilli infection ( OR = 0.20, 95% CI was 0.07-0.58, P = 0.003), hyperlactic acidemia ( OR = 1.25, 95% CI was 1.07-1.46, P = 0.005) and high APACHEⅡ score ( OR = 0.85, 95% CI was 0.78-0.92, P < 0.001) were independent risk factors for platelets < 50×10 9/L. Abdominal infection was an independent risk factor for PLT (50-100)×10 9/L ( OR = 0.56, 95% CI was 0.34-0.95, P = 0.03). High SOFA score was an independent risk factor for PLT ≤ 100×10 9/L [PLT < 50×10 9/L: OR = 2.03, 95% CI was 1.65-2.52, P < 0.001; PLT (50-100)×10 9/L: OR = 1.31, 95% CI was 1.16-1.48, P < 0.001]. There were no significant differences in mechanical ventilation time, length of ICU stay, and in-hospital stay among the three groups ( H values were 0.142, 2.134, and 3.990, respectively, all P > 0.05). The 28-day mortality of septic shock patients increased with the severity of thrombocytopenia ( χ2 = 40.406, P < 0.001), and the 28-day mortality of severe thrombocytopenia group and mild thrombocytopenia group was significantly higher than those of the normal platelet group [66.7% (50/75), 43.1% (53/123) vs. 27.8% (80/288), both P < 0.05]. Kaplan-Meier survival curve analysis showed that the 28-day survival rate gradually decreased with the decrease of PLT, and the 28-day survival rate was higher in the normal platelet group (Log-Rank test: χ2 = 80.667, P < 0.001). Conclusions:Diabetes, abdominal infection, urinary tract infection, G - bacilli infection, hyperlactic acidemia, high APACHEⅡ score, and high SOFA score are independent risk factors for early septic shock-related thrombocytopenia. Early thrombocytopenia in patients with septic shock indicates a high risk of 28-day death.

Objective:To explore the effect of systolic anterior motion (SAM) of mitral valves on the morphology and function of left ventricular outflow tract (LVOT) in patients with hypertrophic obstructive cardiomyopathy (HOCM) using computer fluid dynamics based on three-dimensional echocardiography with inverted grey values.Methods:A total of 40 patients with hypertrophic cardiomyopathy were divided into SAM group (24 cases) and non SAM group (16 cases) in Renmin Hospital of Wuhan University from April 2016 to October 2019. Two dimensional and three-dimensional echocardiographic data of the patients were collected. The LVOT morphological model was constructed based on the post-processing of three-dimensional echocardiography data, and the LVOT flow field model was constructed based on the time-volume curve of left ventricle. LVOT peak velocity was obtained to assess the agreement with echocardiography measurements. Area of LVOT, average velocity, flow rate and iso-surface area of vortex of different levels were obtained and compared between the two groups.Results:There was a good correlation between cardiac fluid model and echocardiographic measurement ( r=0.943, P<0.01). The Bland-Altman consistency interval was -75.0-111.3, and 92.5% of the points were within the consistency limit. Compared with non-SAM group patients, the peak velocity of LVOT increased, the area of LVOT decreased, the flow rate decreased and the area of vortex increased in SAM patients (all P<0.01). In the SAM group, in 16 patients the double orifice LVOT was observed due to the contact between mitral valve and septum, in 1 patient the single orifice LVOT structure was observed with contact between mitral value and septum, and in 7 patients, single orifice LVOT without contact between mitral value and septum. In SAM patients, compared with single orifice LVOT, patients with double orifice LVOT were observed with higher LVOT velocity, smaller LVOT area and higher vortex area with high level(all P<0.05). Conclusions:Accurate fluid models can be obtained using three-dimensional echocardiography with inverted grey values. In SAM patients, contact between mitral valve and septum leads to the formation of double orifice structure and the increase of vortex level in LVOT.

Objective:To investigate the molecular mechanism of SUMO specific protease 1 (SENP1) regulating endoplasmic reticulum stress transcription regulator X-box binding protein 1 (XBP1) in the proliferation of liver cancer cells.Methods:The pathological samples of 180 patients with primary liver cancer in the Department of Hepatobiliary Surgery of Inner Mongolia People′s Hospital from January 2012 to January 2020 were collected. The expressions of SENP1 and XBP1 in liver cancer, adjacent tissues and different liver cancer cell lines were detected. The correlation between SENP1 positive expression and clinicopathological features of liver cancer patients was analyzed. Immunofluorescence and flow cytometry were used to detect the effect of SENP1 siRNA on XBP1 and apoptosis. SUMO1 expression on XBP1 surface was detected and the effect of SENP1 siRNA on SUMO formation of XBP1 was detected by immunoprecipitation.Results:The expression levels of SENP1 in liver cancer and adjacent tissues were 16.332±4.371 and 6.840±2.238, with a statistically significant difference ( t=-5.073, P=0.017). The expression levels of XBP1 in liver cancer and adjacent tissues were 6.641±2.482 and 16.051±4.452, with a statistically significant difference ( t=3.592, P=0.032). The expression of SENP1 was correlated with stage ( χ2=6.724, P=0.010) and metastasis ( χ2=6.265, P=0.012). Immunofluorescence staining showed that the expressions of XBP1 in L02 (0.509±0.219), MHCC97-L (0.092±0.022) and HCCLM3 (0.086±0.014) cells were significantly different ( F=6.378, P=0.004), while the expression of XBP1 in MHCC97-L and HCCLM3 cells was significantly lower than that in L02 cells ( P=0.023; P=0.021). The expression levels of SENP1 in L02, MHCC97-L and HCCLM3 cells were 0.109±0.079, 0.802±0.392 and 0.921±0.352, with a statistically significant difference ( F=7.783, P=0.004), while the expression level of SENP1 in MHCC97-L and HCCLM3 cells was significantly higher than that in L02 cells ( P=0.039; P=0.016). After transfection of SENP1 siRNA into MHCC97-L and HCCLM3 cells, the expressions of XBP1 increased (0.462±0.192, t=3.664, P=0.022; 0.524±0.203, t=3.383, P=0.028); the expressions of SENP1 decreased (0.153±0.093, t=2.790, P=0.049; 0.165±0.104, t=3.568, P=0.023). The results of flow cytometry showed that the apoptosis rates of L02, MHCC97-L, HCCLM3, MHCC97-L+ SENP1 siRNA and HCCLM3+ SENP1 siRNA cells were (20.80±3.11)%, (2.02±1.20)%, (0.12±0.01)%, (7.01±1.80)%, (6.20±2.01)%, with a statistically significant difference ( F=1.025, P=0.030). The apoptosis rate of MHCC97-L and HCCLM3 cells was significantly lower than that of L02 cells ( P=0.040; P=0.010), the apoptosis rate of MHCC97-L+ SENP1 siRNA and HCCLM3+ SENP1 siRNA cells was significantly higher than that of MHCC97-L and HCCLM3 cells (both P=0.009). Immunoprecipitation results showed that the expression levels of XBP1 in L02, MHCC97-L, HCCLM3, MHCC97-L+ SENP1 siRNA, HCCLM3+ SENP1 siRNA cells were 11.943±5.043, 7.467±1.903, 2.051±0.913, 9.532±3.012, 8.731±3.102, and SUMO1 expression levels were 10.158±4.005, 5.871±3.075, 1.941± 0.907, 8.658±4.878, 7.169±4.677, and the differences were statistically significant ( F=11.730, P=0.010; F=8.548, P=0.001). The expressions of XBP1 and SUMO1 in MHCC97-L ( P=0.028; P=0.038) and HCCLM3 ( P<0.001; P<0.001) cells were lower than those in L02 cells, XBP1 expression in HCCLM3+ SENP1 siRNA cells was higher than that in HCCLM3 cells ( P=0.001), and SUMO1 expression in MHCC97-L+ SENP1 siRNA cells and HCCLM3+ SENP1 siRNA cells respectively was higher than that in MHCC97-L ( P=0.045) and HCCLM3 ( P=0.039) cells. Conclusion:SENP1 siRNA can promote the apoptosis of liver cancer cells by up regulating SUMO modification of XBP1.