OBJECTIVETo examine the role of lactoferrin (LF) on Toll like receptor 4 (TLR4) stimulated by lipopolysaccharide (LPS) in human periodontal ligament cells (hPDLCs).

METHODSPrimary hPDLCs were cultured by tissue block enzymolytic method. Cells obtained from four passages were identified and used in this experiment. Cells without stimulation served as the controls and cells treated with LPS (0.1 microg x mL(-1)) comprised the LPS group. The LPS + LF group was pretreated with LPS (0.1 microg x mL(-1)) for 2 h, and then treated with LF (10 microg x mL(-1)). Four hours after LF stimulation, the mRNA expression levels of TLR4 were examined by real-time quantitative polymerase chain reaction (RT-PCR). The protein expression of TLR4 was observed by cell immunofluorescence staining after LF stimulation of 24 hours.

RESULTSTLR4 mRNA expression in the LPS + LF group was significantly more decreased than that in the LPS group (P < 0.05), but exhibited no difference with that in the control group (P > 0.05). Cell immunofluorescence staining showed that the protein expression of TLR4 in the LPS + LF group was significantly more decreased than that in the LPS group (P < 0.05), but exhibited no difference with that in the control group (P > 0.05).

CONCLUSIONLF can decrease the expression of TLR4 stimulated by LPS in hPDLCs, thus presenting potential application for controlling the TLR4 immune pathway of periodontitis.

Down-Regulation ; Humans ; Lactoferrin ; Lipopolysaccharides ; Periodontal Ligament ; Periodontitis ; Toll-Like Receptor 4

OBJECTIVETo study the expression level of folate receptor α (FR-α) in glioma tissue and its clinical significance.

METHODSForty-eight human glioma specimens were collected from patients who underwent surgery from March 2012 to March 2013. These specimens were as follows:12 cases of glioblastoma (WHO IV), 6 cases of astrocytoma of each malignancy grade(WHO II, III), 6 cases of oligodendroastrocytoma of each malignancy grade (WHO II, III), 6 cases of oligodendroglioma of each malignancy grade (WHO II, III ). In addition, 6 cases of normal brain tissue resected from brain traumatic patients were taken as negative control, and one case of placental tissue (had got the consent of the parents and their families) was taken as positive control. The expression level of FR-α in tumor tissues was evaluated by Western blot analysis. The results of Western blot analysis were analyzed by t-test. The expression level of FR-α and Ki-67 in tumor tissues was evaluated immunohistochemistry, the results were analyzed by Kruskal-Wallis test and Nemenyi test. The correlation between the expression level of FR-α and cell proliferation index Ki-67 was analyzed by Pearson correlation analysis.

RESULTSWestern blot analysis showed that the FR-α was not expressed in normal brain tissue and oligodendroglioma tissue, but highly expressed in astrocytoma, oligodendroastrocytoma and gliomablastoma. The expression level in WHO III astrocytoma was significantly higher than in WHO II (t = 4.497, P < 0.05). FR-α was also highly expressed in oligodendroastrocytoma and its expression level in WHO III was also significantly higher than in the WHO II (t = 2.876, P < 0.05). Foremore, immunohistochemistry analysis also showed that FR-α was not expressed in oligodendroglioma, but expressed in astrocytoma, oligodendroastrocytoma and gliomablastoma. The positive rate of FR-α of WHO III was significantly higher than the WHO II astrocytoma(57.8% ± 2.2% vs. 45.7% ± 2.3%,χ(2) = 3.871, P = 0.034). In oligodendroastrocytoma, the positive rate of FR-α of WHO III was significantly higher than the WHO II(56.5% ± 5.4% vs. 37.1% ± 5.2%,χ(2) = 4.454, P = 0.021). Moreover, the expression level of FR-α in gliomablastoma was highest in all histological types of gliomas, the positive rate of FR-α was up to 65.0% ± 4.5%. Pearson correlation analysis showed that the positive rate of FR-α was positively correlated with Ki-67 index (r = 0.903, P < 0.05).

CONCLUSIONSFR-α is expressed in astrocytoma, oligodendroastrocytoma and glioblastoma, and the expression level of FR-α is positively correlated with malignancy grade and Ki-67 index. Therefore, FR-α may be applied as a special target for diagnosis and treatment of glioma.

Adolescent ; Adult ; Biomarkers, Tumor ; metabolism ; Brain Neoplasms ; metabolism ; Case-Control Studies ; Child ; Child, Preschool ; Female ; Folate Receptor 1 ; metabolism ; Glioma ; metabolism ; Humans ; Infant ; Ki-67 Antigen ; metabolism ; Male ; Middle Aged ; Young Adult

Objective To examine the role of lactoferrin (LF) on Toll like receptor 4 (TLR4) stimulated by lipopolysaccharide (LPS) in human periodontal ligament cells (hPDLCs). Methods Primary hPDLCs were cultured by tissue block enzymolytic method. Cells obtained from four passages were identified and used in this experiment. Cells without stimulation served as the controls and cells treated with LPS (0.1 μg·mL-1) comprised the LPS group. The LPS+LF group was pretreated with LPS (0.1 μg·mL-1) for 2 h, and then treated with LF (10 μg·mL-1). Four hours after LF stimulation, the mRNA expression levels of TLR4 were examined by real-time quantitative polymerase chain reaction (RT-PCR). The protein expression of TLR4 was observed by cell immunofluorescence staining after LF stimulation of 24 hours. Results TLR4 mRNA expression in the LPS+LF group was significantly more decreased than that in the LPS group (P<0.05), but exhibited no difference with that in the control group (P>0.05). Cell immunofluorescence staining showed that the protein expression of TLR4 in the LPS+LF group was significantly more decreased than that in the LPS group (P<0.05), but exhibited no difference with that in the con-trol group (P>0.05). Conclusion LF can decrease the expression of TLR4 stimulated by LPS in hPDLCs, thus presenting potential application for controlling the TLR4 immune pathway of periodontitis.

Objectives To construct a prediction model of relapse in diffuse large B-cell lymphoma within two years after complete remission based on multiple randomized empirical kernel learning machine to provide a basis for patient treatment decisions.Methods Using the information of 445 patients who met the requirements of this study in the electronic medical record database of a tertiary hospital in Shanxi Province from 2010 to 2020,a relapse prediction model was constructed based on five common categories of imbalance treatment methods and a multiple stochastic empirical kernel learning machine,and compared with the five classifiers.Results The recurrence prediction model based on SMOTE Tomek Links+multiple randomized empirical kernel learning machine achieved optimal classification performance(accuracy=0.89,precision=0.87,recall=0.92,f1-Score=0.89,brier score=0.11).Conclusion For the actual DLBCL dataset,in this paper,we used SMOTE Tomek links to process the imbalance data and construct a multiple randomized empirical kernel learning machine,which achieves the optimal model performance with low computational complexity and can provide a powerful reference for DLBCL recurrence prediction.