Objective To analyze the sensitivity of ARHGAP8 in predicting the efficacy of neoadjuvant chemotherapy in the patients with locally advanced mid-low colorectal cancer and provide accurate evidence for the treatment of advanced colorectal cancer.Methods The differentially expressed gene ARHGAP8 was screened out by bioinformatics analysis.Cancer tissue and rectal tissue of 68 patients with primary rectal cancer were select-ed.The rectal cancer tissue samples and the rectal tissue samples were collected for clinical validation of ARH-GAP8 expression by quantitative real-time PCR,Western blotting,and immunohistochemistry.The clinical and pathological features such as gender,age,tumor stage,differentiation degree,and pathological type of the pa-tients were collected for functional validation.Forty-four patients with locally advanced mid-low rectal cancer who received neoadjuvant chemotherapy were selected for immunohistochemical examination of ARHGAP8 expres-sion.The expression level of ARHGAP8 was compared between before and after chemotherapy and among different efficacy groups.Results The bioinformatics analysis revealed differences in the expression level of ARHGAP8 between the cancer tissue and rectal tissue(P＜0.001).The expression level of ARHGAP8 was correlated with tumor stage(P=0.024),lymph node metastasis(P=0.007),and age(P=0.005).Quantitative real-time PCR results showed that the mRNA level of ARHGAP8 in the cancer tissue was higher than that in the rectal tis-sue(P＜0.001).Western blotting and immunohistochemistry results demonstrated that the protein level of ARH-GAP8 in the cancer tissue was higher than that in the rectal tissue(P=0.011).The expression of ARHGAP8 was correlated with tumor size(P=0.010)and pathological stage(P=0.005),while it showed no significant association with tumor differentiation degree,lymph node metastasis,liver metastasis,Ki-67,or microsatellite instability expression level.The 44 patients receiving neoadjuvant chemotherapy included 13,8,8,and 15 pa-tients of tumor regression grades 0,1,2,and 3,respectively.Among them,65.91％(29/44)patients showed responses to the treatment.After neoadjuvant chemotherapy,the expression of ARHGAP8 in the cancer tissue was down-regulated in the patients who responded to the chemotherapy(P＜0.001).The response rate in the patients with low protein level of ARHGAP8 was 92.86％,which was higher than that(53.33％)in the patients with high pro-tein level of ARHGAP8(P=0.033).Conclusions ARHGAP8 is highly expressed in the rectal cancer tissue.The pa-tients with locally advanced mid-low rectal cancer and low ARHGAP8 expression are more sensitive to neoadjuvant chemotherapy with the XELOX protocol.ARHGAP8 can serve as a potential biomarker for the occurrence and develop-ment of rectal cancer and an important index for evaluating the efficacy of neoadjuvant chemotherapy with the XELOX protocol in the patients with locally advanced mid-low rectal cancer.

Objective:To investigate the etiological mechanism in single small subcortical infarction (SSSI) with different imaging features.Methods:The patients registered in a database of ischemic stroke in the Department of Neurology of the First Affiliated Hospital of Zhengzhou University from January 2016 to December 2019 were analyzed. According to the lowest slice (LS) and the total number of involved slices (TNS) on diffusion-weighted imaging, the SSSI was divided into 3 types: proximal SSSI (pSSSI; LS≤2), distal and large SSSI (dl-SSSI; LS>2, TNS>2) and distal and small SSSI (ds-SSSI; LS>2, TNS≤2). The clinical and imaging features among 3 different lesion patterns were compared by using χ 2 test, Kruskal-Wallis H test and multiple Logistic regression analysis, etc. Results:In the 3 groups of ds-SSSI ( n=205), dl-SSSI ( n=157) and pSSSI ( n=166), the prevalences of parent artery disease (PAD)[10.7% (22/205) , 19.1% (30/157) , 42.8% (71/166), respectively, χ 2=54.89, P<0.001], coronary artery disease [8.3% (17/205), 14.0% (22/157), 16.9%(28/166), respectively, χ 2=6.44, P=0.040] and severe white matter hyperintensities (sWMHs)[58.0% (119/205), 43.3% (68/157), 41.0% (68/166), respectively, χ 2=12.94, P<0.001], the level of serum homocysteine (Hcy)[18.01 (13.54, 25.56), 16.03 (12.50, 21.09), 14.72 (11.12, 19.14) μmol/L, respectively, H=19.36, P<0.001], and the National Institutes of Health Stroke Scale (NIHSS) score[2(1, 3), 3(1, 4), 3(2, 6), respectively, H=39.53, P<0.001] showed statistically significant differences. Multiple Logistic regression analysis showed that compared with dl-SSSI patients, the lesion pattern of patients with higher proportion of PAD ( OR=3.12, 95% CI 1.86-5.24, P<0.001) was closer to pSSSI; the lesion pattern of patients with higher serum Hcy level ( OR=1.02, 95% CI 1.00-1.04, P=0.046) or higher proportion of sWMHs ( OR=1.79, 95% CI 1.12-2.86, P=0.015) was closer to ds-SSSI, and the lesion pattern of patients with higher proportion of PAD ( OR=0.50, 95% CI 0.27-0.93, P=0.029) or higher NIHSS score ( OR=0.84, 95% CI 0.77-0.92, P<0.001) was closer to dl-SSSI. Conclusions:The pathogenesis of ds-SSSI tends to be cerebral small vessel disease. The pathogenesis of pSSSI is related to atherosclerosis. The patients with dl-SSSI have the intermediate characteristics of pSSSI and ds-SSSI and may be unstable.

Objective: To investigate the value of alpha-fetoprotein (AFP) level on survived hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) patients treated with artificial liver. Methods: Clinical indicators of HBV-ACLF patients who were previously treated with plasma exchange-based artificial liver at our department were retrospectively collected. The difference of serum AFP level between the survival and the death group was compared at 30, 90 and 180 days after artificial liver treatment. The ROC curves of the subjects were plotted, and the sensitivity and specificity of AFP for the survival prediction of the patients at 30, 90 and 180 days after artificial liver surgery were calculated. AFP was divided into a high AFP group and a low AFP group using median value. AFP and postoperative survival predictive value at 30, 90, and 180 days were analyzed. Results: A total of 93 cases were included in this study. The AFP of the survival group at 30, 90, and 180 days was (231.0 ± 286.2) ng / ml, (237.69 ± 297) ng / ml, (229.44 ± 286.46) ng/ml, and the death group was (76.4 ± 104.7) ng/ml, (103.13 ± 116.99) ng / ml, (136.34 ± 2.9.29) ng/ml, respectively. AFP of the death group was significantly lower than the corresponding survival group (P < 0.05). Receiver operating characteristic (ROC) curve analyses indicated that the area under the curve (AUC) and its 95% confidence interval at 30, 90, and 180 days after artificial liver surgery were 0.739 (0.611 ~ 0.867), 0.675 (0.550 ~ 0.80), 0.653 (0.524 ~ 0.781), respectively. The median serum AFP value was 110 ng/ml, and the survival analysis showed that the survival time of the high AFP group was significantly higher than the low AFP group at 30 d (P = 0.01), 90 d (P = 0.04) and 180 d (P = 0.03) after artificial liver surgery. Conclusion Serum AFP can be used as a predictor of survival for HBV-ACLF patients after artificial liver therapy and its clinical value needs to be further verified by the larger sample size.

Objective:To explore the effects of bariatric metabolic surgery on body composition.Methods:The retrospective cohort study was conducted. The clinicopathological data of 66 patients with metabolic diseases who were admitted to the Third Xiangya Hospital of Central South University from January 2013 to December 2014 were collected. There were 42 males and 24 females, aged (40±11)years, with a range from 17 to 63 years. Of the 66 patients, 27 undergoing laparoscopic sleeve gastrectomy (LSG) and 39 undergoing laparoscopic Roux-en-Y gastric bypass (LRYGB) were allocated into LSG group and LRYGB group, respectively. The body composition of all patients was determined by dual-energy X-ray absorptiometry at preoperation and postoperative 6 months. Observation indicators: (1) the changes of anthropometric parameters, glucolipid metabolism, body fat mass percentage (BF%) and the ratio of Android BF% and Gynoid BF% (A/G ratio) from preoperation to postoperative 6 months; (2) the changes of whole and local body composition from preoperation to postoperative 6 months; (3) analysis of the correlation between BF% and anthropometric parameters, glucolipid metabolism. (4) Follow-up. Follow-up was conducted using outpatient or hospitalization examination to detect the changes of body composition at the time of postoperative 6 month. The follow-up time was up to July 2015. Measurement data with normal distribution were represented as Mean± SD, paired-samples t test was used for intra-group comparison, and independent-samples t test when baseline data were consistency or covariance analysis when baseline data were not consistency was used for inter-group comparison. Measurement data with skewed distribution were represented as M ( P25, P75), and comparison between groups was analyzed using Wilcoxon signed rank test. The correlation test was undertaken with the Pearson bivariate analysis. Results:(1) The changes of anthropometric parameters, glucolipid metabolism, BF% and A/G ratio from preoperation to postoperative 6 months: for patients in the LSG group, the body mass, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), diastolic blood pressure (DBP), systolic blood pressure (SBP), fasting plasma glucose (FPG), HbA1c, high density lipoprotein cholesterol (HDL-C), triglyceride (TG), whole BF%, arms BF%, legs BF%, trunk BF%, Android BF%, Gynoid BF% and A/G ratio at preoperation and postoperative 6 months were (102±17)kg, (37±5)kg/m 2, (118±14)cm, 1.01±0.06, (94±14)mmHg(1 mmHg=0.133 kPa), (137±15)mmHg, (8.1±4.2)mmol/L, 7.3%±2.4%, (1.11±0.26)mmol/L, 2.14 mmol/L(1.73 mmol/L, 2.59 mmol/L), 40%±6%, 46%±10%, 36%±8%, 42%±6%, 45%±6%, 37%±7%, 1.23±0.18 and (82±15)kg, (29±4)kg/m 2, (101±13)cm, 0.95±0.08, (76±10)mmHg, (118±16)mmHg, (7.2±1.2)mmol/L, 5.4%±0.8%, (1.26±0.32)mmol/L, 1.21 mmol/L(0.88 mmol/L, 1.55 mmol/L), 36%±8%, 41%±9%, 34%±10%, 38%±8%, 41%±8%, 35%±10%, 1.20±0.17, respectively. There was no significant difference in the intra-group comparison of the Gynoid BF% and A/G ratio ( t=1.903, 1.730, P>0.05) and there were significant differences in the intra-group comparison of the rest of above indicators ( t=12.748, 13.283, 9.013, 3.804, 6.031, 6.226, 2.393, 4.287, -2.900, 3.193, 2.932, 5.198, 2.167, 3.357, 3.116, P<0.05). For patients in the LRYGB group, the body mass, BMI, WC, WHR, DBP, SBP, FPG, HbA1c, HDL-C, TG, whole BF%, arms BF%, legs BF%, trunk BF%, Android BF%, Gynoid BF% and A/G ratio at preoperation and postoperative 6 months were (80±12)kg, (28±4)kg/m 2, (98±9)cm, 0.96±0.05, (85±10)mmHg, (134±17)mmHg, (8.6±2.8)mmol/L, 8.3%±1.7%, (1.13±0.26)mmol/L, 2.06 mmol/L(1.15 mmol/L, 3.30 mmol/L), 30%±8%, 29%±11%, 23%±9%, 37%±7%, 40%±7%, 29%±8%, 1.42±0.26 and (69±9)kg, (24±3)kg/m 2, (91±8)cm, 0.93±0.05, (80±9)mmHg, (129±18)mmHg, (7.4±1.8)mmol/L, 7.0%±1.5%, (1.18±0.29)mmol/L, 1.29 mmol/L(0.85 mmol/L, 2.02 mmol/L), 25%±8%, 23%±12%, 20%±9%, 29%±9%, 32%±10%, 25%±9%, 1.29±0.25, respectively. There was no significant difference in the intra-group comparison of the SBP and HDL-C ( t=1.733, -1.073, P>0.05) and there were significant differences in the intra-group comparison of the rest of above indicators ( t=10.525, 10.200, 7.129, 2.887, 2.805, 2.517, 3.699, 2.608, 7.997, 8.018, 6.029, 8.342, 8.069, 5.813, 6.391, P<0.05). There were significant differences in DBP, SBP, HbA1c, trunk BF%, Android BF% and A/G ratio at postoperative 6 months between LSG group and LRYGB group ( F=6.408, t=2.641, F=20.673, 5.140, 5.735, 4.714, P<0.05). (2) The changes of whole and local body composition from preoperation to postoperative 6 months: for patients in the LSG group, the whole fat mass, muscle mass, fat-free mass at preoperation and postoperative 6 months were (38.74±9.68)kg, (57.71±11.62)kg, (60.14±11.95)kg and (26.64±8.29)kg, (48.65±13.80)kg, (51.00±14.27)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=5.256, 5.413, 5.315, P<0.05); the arms fat mass, muscle mass, fat-free mass were (5.19±1.67)kg, (5.78±1.58)kg, (6.10±1.64)kg and (3.73±1.19)kg, (5.10±1.53)kg, (5.43±1.57)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=7.564, 5.405, 5.363, P<0.05); the legs muscle mass and fat-free mass were (19.05±4.19)kg, (19.93±4.35)kg and (15.93±4.71)kg, (16.81±4.87)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=5.623, 5.568, P<0.05); the trunk fat mass and fat-free mass were (21.93±4.90)kg, (29.7±5.94)kg and (14.69±4.79)kg, (24.78±7.02)kg respectively, showing significant differences in the intra-group comparison of the above indicators ( t=8.903, 5.421, P<0.05); the Android fat mass and fat-free mass were (4.16±1.19)kg, (5.01±1.12)kg and (2.57±0.90)kg, (3.83±1.20)kg respectively, showing significant differences in the intra-group comparison of the above indicators ( t=8.288, 7.637, P<0.05); the Gynoid fat mass and fat-free mass were (5.51±1.42)kg, (9.27±1.86)kg and (3.85±1.16)kg, (7.65±2.31)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=7.461, 5.672, P<0.05); the skeletal muscle index were (8.86±1.38)kg/m 2 and (7.49±1.71)kg/m 2, respectively, showing a significant differences in the intra-group comparison ( t=5.724, P<0.05). For patients in the LRYGB group, the whole fat mass, muscle mass, bone mineral content, fat-free mass at preoperation and postoperative 6 months were (23.58±7.80)kg, (51.76±8.35)kg, (2.55±0.48)kg, (54.31±8.63)kg and (16.88±6.86)kg, (49.41±7.70)kg, (2.47±0.50)kg, (51.88±8.05)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=9.001, 3.974, 4.354, 4.075, P<0.05); the arms fat mass were (2.72±2.37)kg and (1.73±1.02)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=3.470, P<0.05); the legs fat mass, muscle mass, fat-free mass were (5.21±2.46)kg, (16.68±3.50)kg, (17.60±3.66)kg and (4.01±2.12)kg, (15.63±2.90)kg, (16.54±3.05)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=6.592, 3.372, 3.319, P<0.05); the trunk fat mass were (14.87±4.11)kg and (10.38±4.00)kg, respectively, showing a significant difference in the intra-group comparison of the above indicators ( t=8.431, P<0.05); the Android fat mass and fat-free mass were (2.61±0.86)kg, (3.96±0.87)kg and (1.81±0.79)kg, (3.78±0.67)kg respectively, showing significant differences in the intra-group comparison of the above indicators ( t=8.032, 2.153, P<0.05); the Gynoid fat mass and fat-free mass were (3.14±1.17)kg, (7.89±1.58)kg and (2.44±0.96)kg, (7.43±1.26)kg, respectively, showing significant differences in the intra-group comparison of the above indicators ( t=6.112, 3.207, P<0.05); the skeletal muscle index were (8.04±1.22)kg/m 2 and (7.43±1.13)kg/m 2, respectively, showing significant differences in the intra-group comparison ( t=4.953, P<0.05). There were significant differences in whole muscle mass, whole fat-free mass, arms fat mass, legs muscle mass, legs fat-free mass, trunk fat-free mass, Android fat-free mass, Gynoid fat-free mass and skeletal muscle index at postoperative 6 months between LSG group and LRYGB group ( F=13.846, 13.614, 23.696, 7.100, 7.127, 15.243, 16.921, 8.625, 5.497, P<0.05). (3) Analysis of the correlation between BF% and anthropometric parameters, glucolipid metabolism: the whole BF% of 66 patients was positively correlated with body mass, BMI, WC and WHR ( r=0.405, 0.663, 0.625, 0.331, P<0.05); the arms BF% was positively correlated with body mass, BMI, WC and WHR ( r=0.432, 0.682, 0.639, 0.309, P<0.05); the legs BF% was positively correlated with body mass, BMI and WC ( r=0.366, 0.646, 0.564, P<0.05); the trunk BF% was positively correlated with body mass, BMI, WC and WHR ( r=0.332, 0.560, 0.554, 0.335, P<0.05); the Android BF% was positively correlated with body mass, BMI, WC and WHR ( r=0.327, 0.537, 0.543, 0.336, P<0.05); the Gynoid BF% was positively correlated with BMI and WC ( r=0.561, 0.488, P<0.05), and negatively correlated with FPG ( r=-0.491, P<0.05); the A/G ratio was negatively correlated with BMI ( r=-0.334, P<0.05), and positively correlated with FPG ( r=0.506, P<0.05); the skeletal muscle index was positively correlated with body mass, BMI, WC and WHR ( r=0.757, 0.641, 0.609, 0.519, P<0.05), and negatively correlated with HDL-C ( r=-0.369, P<0.05). (4) Follow-up: 66 patients were followed up at the time of postoperative 6 month. Conclusions:Both LSG and LRYGB significantly change body composition. LRYGB is superior to LSG in reducing trunk BF% and Android BF%. The effects of the two surgical methods on fat mass and bone mineral content are similar. LSG lead to a more significant decrease in whole muscle mass, and LRYGB lead to a more significant decrease in legs muscle mass and skeletal muscle index.

Objective: To compare the diagnostic efficacy of transient elastography (TE) FibroScan and acoustic radiation force impulse imaging (ARFI) combined with serological models including aspartate aminotransferase-to-platelet ratio (APRI) and fibrosis-4 (FIB-4) in hepatitis B virus-related fibrosis. Methods: Sixty-seven patients with chronic HBV infection from October 2014 to May 2017 in Department of Infectious Diseases, Putuo Hospital were enrolled. Both FibroScan and ARFI were conducted in all patients together with serological tests. According to the golden standard of pathology results, the diagnosis values of FibroScan, ARFI combined with APRI or FIB-4 were compared as noninvasive assessment for liver fibrosis. Data with homogeneity of variance were tested by t test, and data with heterogeneity of variance were tested by Mann-Whitney U test. Results: Based on the pathology results, the receiver operating characteristic (ROC) areas under the curve (AUC) of APRI, FIB-4, FibroScan and ARFI in diagnosis of hepatic fibrosis ≥S2 were 0.752, 0.612, 0.885, and 0.850, respectively. The AUC of ROC curve in diagnosis of hepatic fibrosis ≥S3 were 0.746, 0.733, 0.851, and 0.863, respectively. The AUC of ROC curve in diagnosis of hepatic fibrosis ≥S4 were 0.782, 0.705, 0.962 and 0.981, respectively. Combined liver imaging technique and serological tests, such as APRI with FibroScan, APRI with ARFI, FIB-4 with FibroScan or FIB-4 with ARFI, the AUC of ROC curve in the 4 groups in diagnosis of hepatic fibrosis ≥S2 were 0.887, 0.861, 0.893, and 0.853, respectively; in the diagnosis of hepatic fibrosis ≥S3 were 0.873, 0.871, 0.900, and 0.875, respectively; and in diagnosis of hepatic fibrosis ≥S4 were 0.952, 0.981, 0.969, and 0.981, respectively. FibroScan and ARFI were positively correlated with liver inflammation (r=0.467, P=0.000; r=0.371, P=0.002) and jaundice (r=0.424, P=0.000; r=0.0.312, P=0.01), while negatively correlated with platelet (r=-0.331, P=0.006; r=-0.312, P=0.01). The AUC of ROC curve of FibroScan, ARFI and their combination with serological model were significantly increased compared with the single serological model (all P<0.05). Conclusions Serological models such as APRI and FIB-4 as well as liver imaging techniques such as FibroScan and ARFI are all valuable in assessment of hepatic fibrosis, while FibroScan and ARFI have better diagnostic value. ARFI is convenient to application for its integration with the ordinary ultrasound system. The sensitivity and specificity for diagnosis of hepatic fibrosis could be improved by combining serological model with FibroScan or ARFI. Combination of APRI and ARFI show the highest accuracy in diagnosis of hepatic fibrosis. Combination of serological models and transient elastic liver imaging is recommended for assessment and follow-up of HBV-related fibrosis.

Objective To investigate the effect of laparoscopic Roux-en-Y gastric bypass(LYGB) on body fat distribution,and relationship between the changes of body fat distribution and improvement of insulin resistance.Methods A total of 65 patients with type 2 diabetes who underwent LYGB were selected for a retrospective analysis.Metabolic parameters,anthropometric measurements,body composition and fat distribution measured by dual-energy X-ray absorptiometry (DEXA) were collected separately before and 6 months post LYGB.All data of pre-and postoperation were compared with pair t test,Pearson correlation analysis was used to evaluate correlation of two variables.Results Weight,body mass index,waist circumference,waist-to-hip ratio,triglyceride,fasting plasma glucose,fasting insulin and homeostatic model assessment for insulin resistance (HOMA-IR) were significantly decreased in 6 months after surgery (P ＜ 0.05).Total fat mass,body fat mass of trunk,upper and lower limbs decreased significantly (P ＜0.05).Percent fat mass at the whole body,Android region,upper and lower limbs decreased significantly (P ＜0.05).After 6 months postoperatively,abdominal obesity indices waist circumfernce decreased from (98.10±13.03) cm to (91.60±7.68) cm (P＜0.01) and percent fat mass at the Android region decreased from (35.71 ±10.24)％ to (29.44 ± 12.11) ％ (P＜0.05),HOMA-IR decreased from 3.62 ± 5.18 to 1.79 ± 1.52 (P ＜ 0.05).The improvement of postoperative insulin resistance is positively correlated with the changes in waist circumference (P ＜0.01) and percent fat mass of Android region (P ＜0.05).Conclusions The body fat distribution changes after LYGB,change of abdominal fat distribution is positively correlated to the improvement of insulin resistance.

Vitamin D plays an important role in cellular differentiation and Calcium phosphate metabolism.At the same time,the role of Vitamin D in glycolipid metabolism had attracted a lot of attention.Bariatric surgery is an effective treatment to achieve therapeutic endpoints for comorbidities associated with obesity,but vitamin D status is always insufficient before and after surgery.In this review,the author aim to (1) discuss the deficiency of vitamin D in bariatric patients,(2) to summarize the impact of vitamin D on glycolipid metabolism and the outcome of bariatric surgery,(3) to discuss the supplementation for the deficiency of vitamin D.

OBJECTIVETo investigate the synergistic effect between the N-terminus domain of the a2 isoform of vacuolar ATPase (a2NTD) and macrophage colony-stimulating factor (M-CSF) on modulating macrophage polarization and the impact of polarized macrophages on proliferation of gastric cancer cells.

METHODSPeripheral blood mononuclear cells were derived from healthy donor and induced into macrophages. Then macrophages were randomly divided into four groups: the control group (RPMI 1640), the experimental group I (M-CSF 100 μg/L), the experimental group II (a2NTD 500 μg/L) and the experimental group III (a2NTD 500 μg/L plus M-CSF 100 μg/L). After stimulation for 48 hours, double color immunofluorescence cytochemistry was adopted to detect the expression of cell membrane molecules on macrophages; ELISA was used to measure the secretion of cytokines IL-10 and IL-12; CCK-8 assay was used to evaluate the impact of macrophages on proliferation ability of gastric cancer cell strain SGC-7901.

RESULTSThe expression of CD68, also known as macrophage surface antigen, was detected on macrophage membrane in all four groups (+). The mean absorbance (A) was 0.092 ± 0.005 in control group, 0.095 ± 0.006 in group I, 0.094 ± 0.005 in group II, 0.094 ± 0.005 in group III, and no significant differences were observed among 4 groups (all P>0.05). Meanwhile, the expression of CD206, which mainly exists on M2 macrophage membrane, was hard to detect in control group (-) with A 0.025 ± 0.004; it was normal in groupI and group II (+) with A 0.191 ± 0.012 in group I and 0.197 ± 0.136 in group II (P=0.212), and it was up-regulated significantly in group III (+++) with A 0.285 ± 0.011. There were significant differences between either two groups except group I and group II (all P<0.01). Secretion of IL-10 in group I and group II [(85.65 ± 13.64) ng/L and (87.77 ± 14.25) ng/L] was significantly higher compared with control group [(71.67 ± 7.56) ng/L, P<0.01]. Secretion of IL-12 in group I and group II [(9.91 ± 1.50) ng/L and (10.15 ± 1.80) ng/L] was significantly lower compared with control group [(16.87 ± 1.10) ng/L, P<0.01]. Secretion of IL-10 in group III [(116.98 ± 14.27) ng/L] was the highest, and secretion of IL-12 [(5.31 ± 0.88) ng/L] was the lowest (all P<0.01). There was a synergistic effect between a2NTD and M-CSF on the secretion of both IL-10 and IL-12. Elevated proliferation of gastric cancer cell strain SGC-7901 was detected in all four groups, in which group III showed the greatest impact compared with other 3 groups (P<0.01).

CONCLUSIONSa2NTD and M-CSF show a synergistic effect in modulating macrophage phenotype and the secretion of IL-10 and IL-12. The polarized macrophage can significantly enhance proliferation of gastric cancer cell strain SGC-7901.

Cell Proliferation ; Humans ; Interleukin-10 ; metabolism ; Interleukin-12 ; metabolism ; Macrophage Colony-Stimulating Factor ; pharmacology ; Macrophages ; cytology ; Phenotype ; Stomach Neoplasms ; pathology ; Tumor Cells, Cultured ; Vacuolar Proton-Translocating ATPases ; pharmacology

Objective To investigate the molecular epidemiology and antimicrobial resistance status of uropathogenic Escherichia coli (UPEC) in senior population in Putuo District ,Shanghai .Methods A total of 72 UPEC strains were isolated from elderly inpatients with urinary tract infections in Putuo Hospital ,Shanghai University of Traditional Chinese Medicine from January 2013 to March 2015 .The strains were characterized by multi‐locus sequence typing (MLST ) .The β‐lactamase gene and the plasmid mediated quinolone resistance (PMQR) gene were detected ,and the mutations of quinolone resistance‐determining regions (QRDR) in gyrA and parC genes were demonstrated .In vitro drug susceptibility test was performed .Continuous variables were compared using t test and categorical variables were compared using chi‐squared test or Fisher exact test .Results The UPEC strains showed different resistance rates to ciprofloxacin ,cefotaxime and trimethoprim‐sulfamethoxazole ,which were 76 .4% ,73 .6% and 65 .3% , respectively .UPEC still remained highly sensitive to imipenem ,meropenem ,amikacin and piperacillin‐tazobactam .Among 72 isolates ,55 (76 .4% ) of 49 (68 .1% ) extended‐spectrum β‐lactamase (ESBL )‐positive strains harbored blaCTX‐M genes .Among the 55 ciprofloxacin resistant strains ,51 (92 .7% ) had three or four mutations in QRDR of gyrA and parC genes .The “hot‐spot” mutations of QRDR were located at amino acid position 83 and 87 in gyrA gene and at positions 80 and 84 in parC gene .Forward analysis by MLST showed that the most frequent sequence types (ST ) were ST131 (18/72 ,25 .0% ) , ST1193(7/72 ,9 .7% ) ,ST405 (7/72 ,9 .7% ) ,ST38 (5/72 ,6 .9% ) and ST648 (3/72 ,4 .2% ) .ST131 isolates were predominant in ST which caused community‐onset urinary tract infections .Multiple drug‐resistance were detected in ST 131 ,ST405 ,ST38 and ST648 which were mainly producing blaCTX‐M ESBL .Conclusions Community‐acquired multiple drug‐resistant UPEC strains such as ST131 clone are prevalent in elderly patients .Thus ,monitoring of molecular epidemiology would be beneficial to prevent the prevalence of multiple drug‐resistant UPEC .

Objective:To investigate the effect and elucidate the mechanism of the selective cyclooxygenase-2(COX-2)inhibitor NS-398 on apoptosis and survivin, XIAP and c-IAP1 expressions of hepatocarcinoma cell lines. Methods:The proliferation of hepatocarcinoma BEL-7402 cells treated with NS-298 at different concentrations were evaluated by MTT assay. The apoptosis was detected by flow cytometry (FCM) and TUNEL assay. Expressions of COX-2, survivin, XIAP and c-IAP1 were analyzed by immunocytochemical staining. Results: NS-398 significantly inhibited cell proliferation of BEL-7402 cells and induced apoptosis. Immunocytochemisty indicated that the expressions of COX-2, survivin, XIAP and c-IAP1 were significantly down-regulated in BEL-7402 cells by NS-398 treatment compared with untreatment group (P<0.01). Conclusion:NS-398 inhibits the proliferation and induced apoptosis of BEL-7402 cells. The mechanism may be related with down-regulation of the survivin, XIAP and c-IAP1 expression.