Objective:To investigate the correlation among prognostic nutritional index (PNI), clinical features, and adverse reac-tions after adjuvant chemotherapy of gastric cancer patients who underwent radical gastrectomy. Furthermore, this study aimed to clari-fy the predictive and prognostic significance of PNI in patients who underwent gastrectomy for gastric cancer. Methods:This study re-viewed the medical records of 148 patients with gastric cancer who underwent gastrectomy. The PNI value was calculated by serum al-bumin concentration (g/L)+5 × lymphocyte count (×109/L). The receiver operating characteristic (ROC) curve and Youden index were used to determine the cut-off value of the PNI. Survival curves were described by Kaplan-Meier method and compared by Log-rank test. The univariate and multivariate analyses were performed with the Cox proportional hazard model to identify the prognostic factors. Re-sults:The mean values of the PNI in<65 years old patients (P<0.01), T1 and T2 stages of tumor (P<0.01), and negative lymph node (P=0.013) were significantly higher than those without such factors. Patients with higher PNI had significantly lower rates of postoperative complication and adjuvant chemotherapy adverse reactions than those with lower PNI (P<0.01). When the PNI value was 52.08, the Youden index was maximal, with a sensitivity of 66.7%and a specificity of 34.3%. The overall survival rate in the high PNI group was higher than that in the low PNI group (P<0.01). The univariate and multivariate analyses showed that preoperative carcinoembryonic antigen level (P=0.018), tumor depth (P=0.010), intravascular cancer embolus (P=0.010), time to initiation of chemotherapy after sur-gery (P=0.034), and the PNI value (P=0.015) were independent factors in predicting overall survival rate. Conclusion:The PNI value was a simple and useful tool to predict the prognosis and the incidence of adjuvant chemotherapy adverse reactions of gastric cancer pa-tients after radical gastrectomy.

L-theanine (γ-glutamylethylamide) is the main free amino acid component of tea and its favorable physiological effects on mammals have been reported. An enzymatic method for optically pure L-theanine production with a new L-aminoacylases-production fungi Cunnighamella echinulata 9980 was developed. The optimum conditions for enzymatic catalysis were at pH 6.5 with 50 mmol/L N-Acyl-DLtheanine and 40 mmol/L CoCl2. After 12-h incubation at 50℃,22.5 mmol/L L-theanine was obtained, the conversion rate against N-Acyl-L-theanine being 90%. Cunnighamella echinulata and the aminoacylase were applied in preparation of L-theanine.

Objective To evaluate the osteocompatibility of poly(D,L lactic acid)/ hydroxyapatite/decalcified bone matrix (PDLLA/HA/DBM) and to compare the osteocompatibility with that of PDLLA and DBM. Methods The isolated human osteoblasts from the femoral head of patients were inoculated onto PDLLA/HA/DBM, PLA, and DBM. The interface between biomaterial and osteoblasts was investigated with phase contrast microscope and scanning electron microscope. Results Osteoblasts were attached tightly to the surface of biomaterial with an arched structure and had normal morphology. The extracellular collagenous matrix covered the surface of biomaterial and packed the granules of biomaterial completely. Conclusion PDLLA/HA/DBM can form osteointegrated interface at the early stage with good biocompability.

Objective To study the effects of PDLLA/HA/DBMV biomaterials on cell proliferation by comparison of polyactic acid (PDLLA) and decalcified bone matrix (DBM) so as to evaluate the biocompatibility of the biomaterials at the cell level. Methods The isolated third generation human fetal osteoblasts (suspension, 3.5?10 5/ml) were inoculated onto the biomaterials of PDLLAHA/DBM, PDLLA, and DBM for 1, 2, 3, 5, and 7 d. Proliferation rates of cells on different materials were determined by flow cytometry. Results The osteoblast proliferation rate on PDLLA/HA/DBM was higher than that on PLA and DBM. Conclusion PDLLA/HA/DBM is compatible for the growth of osteoblasts.

Objective: To evaluate the immunogenicity of HIV-1 clade C/B’ vaccine based on modified vaccinia virus Ankara (MVA) vector in mice. Methods: Mice were inoculated with 3-dose HIV vaccine by intramuscular injection. Blood sample were collected every second week, and then the antibodies against HIV were detected. At week 6, mice were killed and cellular immune responses were examined by ELISPOT. Result: The number of spot forming cells in the 107 pfu/ml -dose group was more than those of 105 pfu/ml -dose and 106 pfu/ml -dose groups significantly. HIV specific antibodies emerged at week 2 and elevated rapidly at week 4 and week 6. The level of specific IgG in the 107 pfu/ml -dose group was more than those of 105 pfu/ml -dose and 106 pfu/ml -dose groups significantly. Conclusion: The ADMVA induces both humoral immunoresponse and cellular immune responses.

Objective:To explore the values of albumin-bilirubin (ALBI) score, carcinoembryonic antigen (CEA) and combination of the two in the prognostic assessment of colorectal cancer patients with postoperative liver metastasis.Methods:The clinicopathological data of 98 colorectal cancer patients with postoperative liver metastasis who were admitted to Lianyungang Oriental Hospital and receiving adjuvant chemotherapy from January 2016 to March 2020 were retrospective analyzed. The data of serum protein, bilirubin, and CEA before chemotherapy were obtained, the relationship between serum protein and bilirubin was analyzed, and the ALBI score was calculated. The ALBI-CEA score was judged according to the ALBI score and the CEA level. ALBI score > -2.60 points was categorized as high ALBI group, and ALBI score ≤ -2.60 points was categorized as low ALBI group; CEA >5 ng/ml was categorized as high CEA group, and CEA ≤5 ng/ml was categorized as low CEA group; patients were categorized into 0, 1, and 2 points groups based on ALBI-CEA score. Overall survival (OS) and progression-free survival (PFS) of ALBI score, CEA and ALBI-CEA score subgroups were analyzed by Kaplan-Meier method; with the actual survival and progress status of the patients as the gold standard, receiver operating characteristic (ROC) curve was used to analyze the effect of 3 indicators to assess patients' OS and PFS, and area under the curve (AUC) was compared; Cox proportional hazards model was used to analyze the influencing factors of OS and PFS.Results:The median albumin and bilirubin levels of the 98 patients were 34.4 g/L (26.8-42.8 g/L) and 16.6 μmol/L (7.6-44.6 μmol/L), and the result of Pearson correlation analysis showed a negative correlation between the levels of albumin and bilirubin ( r = -0.282, P < 0.001). The 3-year OS and PFS rates in the high ALBI group were lower than those in the low ALBI group (OS rate: 9.2% vs. 33.3%, PFS rate: 7.7% vs. 18.2%), and the differences in OS and PFS between the two groups were statistically significant ( χ2 values were 27.64, 23.30, both P < 0.001). The 3-year OS and PFS rates in the high CEA group were lower than those in the low CEA group (OS rate: 7.1% vs. 42.9%, PFS rate: 7.1% vs. 21.4%), and the differences in OS and PFS between the two groups were statistically significant ( χ2 values were 23.71, 17.14, both P < 0.001). The 3-year OS rates in the ALBI-CEA score 0, 1 and 2 points groups were 77.8%, 20.9% and 2.2%, and the 3-year PFS rates were 44.4%, 9.3% and 6.5%, and there were statistical differences in OS and PFS among the three groups ( χ2 values were 102.36, 76.55, both P < 0.001). The ROC curve analysis showed that the AUC of ALBI score, CEA and ALBI-CEA score for assessing OS were 0.688 (95% CI 0.544-0.832), 0.754 (95% CI 0.618-0.890) and 0.828 (95% CI 0.723-0.933) (all P < 0.05), and the AUC for assessing PFS were 0.618 (95% CI 0.436-0.799), 0.646 (95% CI 0.464-0.829) and 0.682 (95% CI 0.494-0.870) (all P > 0.05). Multivariate Cox regression analysis showed that ALBI-CEA score was an independent influencing factor for OS (2 points vs. 0 point: HR = 17.254, 95% CI 8.385-35.504, P < 0.001) and PFS (2 points vs. 0 point: HR = 6.144, 95% CI 3.725-10.134, P < 0.001) of patients. Conclusions:The colorectal cancer patients with liver metastasis and high ALBI-CEA score are at high risk of death and disease progression and have a poor prognosis, and they are recommended to receive intensive treatment.

Transglutaminase 2 (TGM2) is a ubiquitous multifunctional protein, which is related to the adhesion of different cells and tumor formation. Previous studies found that TGM2 is involved in the interaction between host cells and viruses, but the effect of TGM2 on the proliferation of influenza virus in cells has not been reported. To explore the effect of TGM2 during H1N1 subtype influenza virus infection, a stable MDCK cell line with TGM2 overexpression and a knockout cell line were constructed. The mRNA and protein expression levels of NP and NS1 as well as the virus titer were measured at 48 hours after pot-infection with H1N1 subtype influenza virus. The results showed that overexpression of TGM2 effectively inhibited the expression of NP and NS1 genes of H1N1 subtype influenza virus, while knockout of TGM2 up-regulated the expression of the NP and NS1 genes, and the expression of the NP at protein level was consistent with that at mRNA level. Virus proliferation curve showed that the titer of H1N1 subtype influenza virus decreased significantly upon TGM2 overexpression. On the contrary, the virus titer in TGM2 knockout cells reached the peak at 48 h, which further proved that TGM2 was involved in the inhibition of H1N1 subtype influenza virus proliferation in MDCK cells. By analyzing the expression of genes downstream of influenza virus response signaling pathway, we found that TGM2 may inhibit the proliferation of H1N1 subtype influenza virus by promoting the activation of JAK-STAT molecular pathway and inhibiting RIG-1 signaling pathway. The above findings are of great significance for revealing the mechanism underlying the interactions between host cells and virus and establishing a genetically engineering cell line for high-yield influenza vaccine production of influenza virus.
Animals ; Cell Proliferation ; Dogs ; Humans ; Influenza A Virus, H1N1 Subtype/genetics* ; Influenza, Human ; Madin Darby Canine Kidney Cells ; Protein Glutamine gamma Glutamyltransferase 2