Objective: To observe the expression of cell adhesion molecules ICAM-1 and VCAM-1of cultured rat brain microvascular endothelial cells(MVEC),expecting to explore the mechanisms of new QingKaiLing injection protecting brain from injury of inflammatory cascade in cerebral ischemia diseases.Methods: Rat cerebral MVEC were extracted by separating microvessel sections and collagenase enzymatic digesting,an in vitro ischemia reperfusion model was established(Kreb,95%N2+5%CO2),the protein and mRNA expression of ICAM-1 and VCAM-1 were detected by using immunocytochemical stain and RT-PCR method.Results:The expression of adhesion molecules of model group were significantly higher than those of noral group(P

OBJECTIVE:To establish the method for determination of baicalin in Chang’an capsule by RP-HPLC. METHODS:HPLC was performed on C 18 column with methanol-0.07%phosphoric acid solution(44∶56)as mobile phase at a flow rate of lml/min and the temperature of column kept at room temperature.The UV detection wavelength was280nm.RESULTS:The linear range of baicalin was sample size0.1054?g～1.0540?g(r=0.9996),the average recovery was97.44%(RSD=2.92%,n=5).CONCLUSION:The method was simple,accurate and fast,and can be used for the determination of baicalin.

Objective To evaluate the effect of popliteal fossa fixed method to reduce the setup errors in patients with postoperative cervical carcinoma by CBCT of TrueBeam Linear accelerator.Methods 30 cases of postoperative cervical cancer patients were randomly divided into two groups,group A with popliteal fossa fixed method by trapezoidal fixation,group B with traditional vacuum pad fixation.CBCT was used to record both setup errors and rotational errors,Stroom extension formula was used to calculate the PTV expansion value coming from the two different fixation methods.Results There was significant difference in setup errors between group A and group B.The setup errors in the left-right direction (X),cranial-caudal direction (Y) and anterior-posterior direction (Z) were (0.19±0.14) cm,(0.17±0.12) cm and (0.13±0.11) cm in group A,respectively.On the contrary,the setup errors in X,Y and Z were (0.24±0.19) cm,(0.25±0.21) cm and (0.22±0.18) cm in group B,respectively.The rotational errors were 0.05°±0.02° in group A,comparing with 0.5°±0.21° in group B (P =0.00).The PTV expanded margin in group A was 0.56 cm in X direction,0.51 cm in Y direction,0.40 cm in Z direction,in comparing with 0.73 cm,0.78 cm and 0.67 cm in group B,respectively.Group A remarkably reduced the PTV,pelvis,small intestine,bladder and rectum irradiated volumes [(1 167±271) mm3 vs (1 379±297) mm3,(84±12) mm3 vs (130±17) mm3,(81±51) mm3 vs (117±64)mm3,(62±40) mm3 vs (75±47) mm3,(21±16) mm3 vs (31±21) mm3].Conclusion Popliteal fossa fixed method can reduce setup errors and improve the stability of positioning,more suitable in precise radiotherapy for postoperative cervical cancer patients,which has the value of further validation.

Objective To investigate the expression and prognostic significance of CD151, c-Met and integrin alpha 3, alpha6 in pancreatic ductal adenocarcinoma (PDAC). Methods The expression of CD151, c-Met and integrin alpha3, alpha6 in 71 patients with PDAC and 10 samples of normal pancreas tissues were detected by immunohistochemistry, and the relationship between the expression of CD151, c-Met and integrin alpha 3, alpha 6 and the clinicopathological features, prognosis of these patients was analyzed. Results The positive expression rates of CD151, c-Met and integrin alpha 3, alpha 6 in PDAC were 81.69% (58/71) , 69.01% (49/71), 69.01% (49/71) and 84.51% (60/71) , and there was no expression in normal pancreas tissues. The expressions of CD151, c-Met were significantly associated with TNM stage and lymph node metastasis (P < 0.05). The expression of CD151 was positively correlated with the expressions of c-Met and integrin alpha3, alpha6 (r =0.583, P =0.000, r = 0.457;P =0.000, r = 0.671 ;P =0.000). Univariate analysis suggested the expression of CD151, c-Met and integrin alpha3, alpha6 was associated with survival (P<0.05). Multivariate analysis suggested the expression of CD151, c-Met was the independent prognostic factor for post-operative survival. Conclusions CD151, c-Met and integrin alpha3, alpha6 play a role in the development, metastasis and prognosis of PDAC, and they might be new markers to predict biological behavior and the prognosis of PDAC patients.

To establish an ischemia-reperfusion injury model of rat cerebral microvascular endothelial cells (MVECs) in vitro, and to explore the relationship between nuclear factor-kappa B (NF-kappaB) and the protective effects of Qingkailing effective components (hyocholic acid, taurocholic acid, baicalin, jasminoidin, Pinctada martensii) on MVECs.

Objective:To investigate the effect of miRNA-296-5p (miR-296-5p) on the migration and invasion of hypoxia-induced pancreatic cancer cells and its related mechanisms.Methods:Human pancreatic cancer cell line PANC-1 was selected. Pancreatic cancer tissues from 55 pancreatic cancer patients who underwent the resection and adjacent carcinoma normal pancreatic tissues from 10 patients at Shanghai Fengxian District Central Hospital and Bengbu Medical College First Affiliated Hospital between January 2010 and December 2014 were collected. The expression levels of hypoxia-inducible factor 1α (HIF-1α) and miR-296-5p in tissue microarray of pancreatic cancer and adjacent carcinoma normal pancreatic tissues were detected by using immunohistochemistry and in situ hybridization. The relationship between miR-296-5p and HIF-1α as well as their correlation with clinicopathological characteristics of patients were analyzed. PANC-1 cells were divided into hypoxic group and normoxic group. Transwell assay was used to detect the cell migration and invasion ability of both groups. Real-time quantitative polymerase chain reaction (qRT-PCR) was used to examine the expressions of HIF-1α and miR-296-5p under hypoxic environment of both groups. The expression of HIF-1α was interfered by transfecting small interfering RNA (siRNA). PANC-1 cells were divided into PANC-1 group (the empty control), PANC-1-NC group (the negative control) and PANC-1-siRNA group. The expression of miR-296-5p was measured. After co-transfecting miR-296-5p agonist and miR-296-5p inhibitor, the cells were divided into Agomir-miR-296-5p group (agonist group), Agomir-miR-296-5p-NC group (agonist negative control group), Antagomir-miR-296-5p group (inhibitor group) and Antagomir-miR-296-5p-NC group (inhibitor negative control group). Transwell assay was used to detect the cell migration and invasion ability of all groups. Luciferase reporter gene system was used to verify whether miR-296-5p promoter region had binding site of HIF-1α.Results:The high expression rate of HIF-1α in pancreatic cancer tissues was higher than that of adjacent carcinoma normal pancreatic tissues [81.8% (45/55) vs. 0 (0/10), P<0.01], and the high expression rate of miR-296-5p in pancreatic cancer tissues was lower than that of adjacent carcinoma normal pancreatic tissues [12.7% (7/55) vs. 90.0% (9/10), χ2 = 27.23, P<0.01]. The expression of HIF-1α was negatively correlated with that of miR-296-5p ( r = -0.53, P<0.01). The low expression of miR-296-5p was closely related with the tumor diameter, TNM staging, lymph node metastasis (all P<0.05). The number of PANC-1 invasion cell was 15.3±2.1 in normoxic group and 24.7±1.5 in hypoxic group, and the difference was statistically significant ( t = 0.26, P = 0.003). The number of PANC-1 migration cell was 20.7±3.8 in hypoxic group and 32.7±1.2 in normoxic group, and the difference was statistically significant ( t = 5.25, P = 0.006). The relative expression level of HIF-1α mRNA in PANC-1 cell of hypoxic group was higher than that of normoxic group [(1.00±0.01) vs. (0.30±0.02)], and the difference was statistically significant ( t = 56.45, P<0.01); the relative expression level of miR-296-5p in PANC-1 cell of hypoxic group was lower than that of normoxic group [(1.14±0.04) vs. (3.05±0.20)], and the difference was statistically significant ( t = 16.05, P<0.01). The number of invasion cells in PANC-1 group, PANC-1-NC group and PANC-1-siRNA group was 24.7±1.5, 25.7±1.5, 12.0±1.7, respectively, and the difference was statistically significant ( F = 68.13, P<0.01).The cell invasion ability in PANC-1-siRNA group was decreased compared with that in PANC-1 group ( t = 9.50, P = 0.001). The number of cell migration was 32.7±1.2, 37±1.0, 17.3±1.2, respectively in PANC-1 group, PANC-1-NC group and PANC-1-siRNA group, and the difference was statistically significant ( F = 262.09, P<0.01). The cell migration ability in PANC-1-siRNA group was decreased compared with that in PANC-1 group ( t = 16.26, P<0.01). The cell invasion and migration ability in Antagomir-miR-296-5p group was increased compared with that in PANC-1 group (all P<0.05); the cell invasion and migration ability in Agomir-miR-296-5p group was decreased compared with that in PANC-1 group (all P<0.05). The results of luciferase activity detected by luciferase reporter gene system showed that miR-296-5p had the target binding to HIF-1α. Conclusions:HIF-1α plays a key role in the invasion and migration of hypoxia-induced pancreatic cancer cells through negatively reducing miR-296-5p.

Objective:To investigate the effect of hypoxia-inducible factor 1α (HIF-1α)/Bcl-2 and adenovirus E1B19kDa-interacting protein 3 (BNIP3)-mediated mitophagy on neuronal apoptosis after traumatic brain injury (TBI).Methods:HT22 cells (mouse hippocampal neurons) were chosen; oxygen-glucose deprivation/re-oxygenation (OGD/R) was used to establish in vitro TBI models. Expressions of HIF-1α and BNIP3 were regulated by HIF-1α, BNIP3-specific small interfering RNA (siRNA) or plasmid vector transfection. Experiment 1 was performed to investigate the effect of BNIP3-mediated mitophagy on neuronal apoptosis after TBI; HT22 cells were divided into 4 groups ( n=3): siRNA control group (normal culture after negative siRNA transfection), siRNA+TBI group (OGD/R after negative siRNA transfection), BNIP3-siRNA group (normal culture after BNIP3-siRNA transfection), and BNIP3-siRNA+TBI group (OGD/R after BNIP3-siRNA transfection); the expressions of mitochondrial autophagy related proteins such as HIF-1α, BNIP3, LC3-II, and P62 were detected by Western blotting, mitochondrial autophagosomes were observed by transmission electron microscopy, apoptosis was detected by TUNEL, and lactate dehydrogenase (LDH) activity in cell supernatant was determined by LDH kit. Experiment 2 was performed to investigate the effect of HIF-1α on BNIP3-mediated mitophagy and neuronal apoptosis after TBI; HT22 cells were divided into 8 groups ( n=3): siRNA control group (normal culture after negative siRNA transfection), siRNA+TBI group (OGD/R after negative siRNA transfection), HIF-1α-siRNA group (normal culture after HIF-1α-siRNA transfection), HIF-1α-siRNA+TBI group (OGD/R after HIF-1α-siRNA transfection), empty plasmid group (normal culture after pcDNA3.1[+] transfection), HIF-1α overexpression group (normal culture after HIF-1α plasmid transfection), empty plasmid+TBI group (OGD/R after empty plasmid transfection), HIF-1α overexpression+TBI group (OGD/R after HIF-1α plasmid transfection); the expressions of HIF-1α, BNIP3, LC3-II, P62, TOMM20 and COX IV, apoptosis rate and LDH activity in neurons of each group were determined. Results:(1) In Experiment 1, compared with siRNA control group, siRNA+TBI group had significantly increased BNIP3 expression and LC3-II/I ratio, significantly decreased P62, TOMM20 and COX IV expressions, and statistically increased apoptosis and LDH activity ( P<0.05); compared with siRNA+TBI group, BNIP3-siRNA+TBI group had significantly decreased BNIP3 expression and LC3-II/I ratio, significantly increased P62, TOMM20, and COX IV expressions, and significantly increased apoptosis and LDH activity ( P<0.05); under projective electron microscope, siRNA+TBI group had increased autophagosomes compared with siRNA control group, while BNIP3-siRNA+TBI group had decreased autophagosomes compared with siRNA+TBI group. (2) In Experiment 2, compared with siRNA+TBI group, HIF-1α-siRNA+TBI group had significantly decreased expressions of HIF-1α and BNIP3, and LC3-II/I ratio, significantly increased expressions of P62, TOMM20 and COX IV, and significantly increased apoptosis and LDH activity ( P<0.05); compared with empty plasmid+TBI group, HIF-1α overexpression+TBI group had statistically higher expressions of HIF-1α and BNIP3, and LC3-II/I ratio, significantly decreased expressions of P62, TOMM20 and COX IV, and significantly decreased apoptosis and LDH activity ( P<0.05). Conclusion:HIF-1α can mitigate TBI-induced neuronal apoptosis via promoting BNIP3-mediated mitophagy.

This study aims to develop a method to detect bovine multi-cytokines based on flow cytometry. Previously we have prepared and screened monoclonal antibodies against bovine cytokines IFN-γ, IL-2, TNF-α, IP-10 and MCP-1. These bovine cytokine monoclonal antibodies were fluorescently labeled, and the combination of antibody and cell surface molecules were used to develop the method for detecting bovine multi-cytokines. Subsequently, the developed method was used to determine the cytokine expression profile of Mycobacterium bovis BCG infected bovine peripheral blood mononuclear cells in vitro, and evaluate the cytokine expression level of peripheral blood CD4⁺ T cells of tuberculosis-positive cattle. The bovine multi-cytokine flow cytometry detection method can effectively determine the cytokine expression of BCG-infected bovine peripheral blood T lymphocytes. Among them, the expression levels of IFN-γ, IL-2, and TNF-α continue to increase after 40 hours of infection, while the expression levels of IP-10 and MCP-1 decreased. The combined detection of IFN-γ, IL-2, and TNF-α on CD4⁺ T lymphocytes in peripheral blood of cattle can effectively distinguish tuberculosis-positive and tuberculosis-negative samples. This method may facilitate evaluating the level of cellular immune response after bovine pathogen infection and vaccine injection.
Cattle ; Animals ; Cytokines ; BCG Vaccine/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Interleukin-2 ; Flow Cytometry/methods* ; Chemokine CXCL10/metabolism* ; Leukocytes, Mononuclear ; CD4-Positive T-Lymphocytes/metabolism* ; Tuberculosis ; Antibodies, Monoclonal/metabolism*