Objective To determine the level of interleukin (IL)-10 in sera and culture supernatants of CD4+CD25+T cells from children with atopic dermatitis (AD),and to evaluate its relationship with clinical course and severity of AD.Methods Totally,46 children with AD and 31 healthy controls were included in the study.All the patients were divided into 3 groups,i.e.,mild (n =10),moderate (n =16) and severe (n =20) group,according to severity scoring of atopic dermatitis (SCORAD) score.Venous blood samples were obtained from the patients and healthy controls.CD4+CD25+ regulatory T cells were separated from the blood samples by magnetic cell sorting (MACS) system in two steps and cultured in vitro.Enzyme linked immunosorbent assay (ELISA) was conducted to quantify the level of IL-10 in sera and culture supernatants of CD4+CD25 + T cells from these subjects.Analysis of variance was carried out to compare the level of supematant and serum IL-10 between the patients and controls,and Pearson correlation analysis to assess the relationship between the level of IL-10 and SCORAD score.Results The patients with mild,moderate and severe AD showed a similar serum IL-10 level compared with the healthy controls ((43.10 ± 25.07) pg/ml,(68.40 ± 36.65) pg/ml and (55.55 ± 41.97) pg/ml vs.(58.27 ± 36.84) pg/ml,all P ＞ 0.05).The level of supernatant IL-10 secreted by CD4+CD25+ T cells from the controls was significantly higher than that from the patients with severe AD ((55.15 ± 11.15) pg/ml vs.(27.25 ± 7.01) pg/ml,P ＜ 0.05),but similar to that from the patients with mild and moderate AD ((52.96 ± 11.69) pg/ml and (49.86 ± 9.18) pg/ml,respectively,both P ＞ 0.05).The level of secreted IL-10 was negatively correlated with SCORAD score (r =－0.757,P ＜ 0.01),whereas the serum level of IL-10 showed no statistical correlation with SCORAD score.Conclusion CD4+CD25+ T cells and IL-10 may be implicated in the development of AD.

OBJECTIVETo establish the differential templates of the skeletal profiles for Shanghainese with normal occlusion in early permanent dentition.

METHODS71 lateral cephalometric radiographs of subjects with normal occlusion in early permanent dentition, aged from 11 - 15 years (37 females and 34 males) were traced. 23 skeletal landmarks were identified on the tracings, which afterwards were scanned on the computer. An x-y coordinate system was established: the tracing superimposed on sella rotated 7 degrees down from the sella-nasion line as the x axis and the vertical line through sella perpendicular to the x axis as the y axis. A special length/depth ratio was designed. The length/depth ratio of each graph were calculated. Steiner analysis was applied to check the difference between genders.

RESULTSThere was no difference between genders. The tracings were divided into three categories: short face, normal face and long face according to the mean and standard deviation of the ratio. The three types of tracings were superimposed on the x axis with sella registered. Three templates were created.

CONCLUSIONSThe differences were apparent when the three templates were superimposed.

Adolescent ; Cephalometry ; methods ; Child ; Dental Occlusion ; Face ; anatomy & histology ; Facial Bones ; anatomy & histology ; Female ; Humans ; Male

Objective The aim of this study is to combine Raman spectroscopy and machine learning techniques to distinguish subgin-gival plaques among three groups of subjects,including patients with chronic periodontitis(CP)and type 2 diabetes mellitus(T2DM),patients with CP alone,and healthy controls.Methods The Raman spectra of the subgingival plaques from 20 patients with CP and T2DM(group A),23 patients with CP alone(group B),and 23 healthy controls(group C)were obtained using a portable Raman spec-trometer.Eight common machine learning algorithms were applied to build models to distinguish the Raman spectra of the three types of subgingival plaques.Results The model identified as optimal for distinguishing the three types of subgingival plaques was linear discri-minant analysis(LDA).The optimal model to distinguish groups A and B is LDA,groups A and C is extra trees(ET),and groups B and C group is LDA.Conclusion The proposed classification model based on Raman spectroscopy and machine learning algorithms can dis-tinguish subgingival plaques among patients with CP and T2DM,with CP alone,and healthy controls.This technique can be used in future clinical practice as a screening or diagnostic tool.

BACKGROUND:Osteoarthritis is now considered a metabolic disease.Previous studies have shown that glycolysis plays an important role in the occurrence and development of osteoarthritis.Compound 3k,as a novel small molecule inhibitor of glycolysis,has anti-inflammatory and anti-tumor effects.Therefore,it can target glycolysis and is expected to provide new ideas for the treatment of osteoarthritis. OBJECTIVE:To explore the role of Compound 3k in osteoarthritis caused by glycolytic overactivity based on the hypoxia-inducible factor 1 alpha(HIF-1α)/reactive oxygen species(ROS)pathway. METHODS:ATDC5 chondroblasts at logarithmic growth phase were taken to induce osteoarthritis in an in vitro cellular model by the action of 10 ng/mL interleukin-1β for 24 hours.The cytotoxicity of Compound 3k at different concentrations(0.25,0.5,1,2.5,5,10,15 μmol/L)was detected by cell counting kit-8 assay,and the appropriate concentrations were selected for the subsequent experiments.The chondrocytes were randomly divided into control,model and treatment groups.The model group was induced with 10 ng/mL interleukin 1β,and the treatment group was pre-stimulated with Compound 3k for 2 hours and then co-cultured with interleukin 1β.The proliferation of the cells in each group was detected by the cell counting kit-8 assay;the inflammatory level of the cells in each group was detected by the ELISA kit;the ROS,extracellular lactate and glucose contents were detected using the kit;qRT-PCR and western blot were used to detect the levels of related inflammatory factors,interleukin-6 and tumor necrosis factor-α,glycolysis-related genes glucose transporter protein-1,glyceraldehyde 3-phosphate dehydrogenase,monocarboxylate transporter protein-1 and HIF-1α. RESULTS AND CONCLUSION:Compared with the control group,the model group showed a decrease in cell proliferative activity,active glycolysis level,manifested by an increase in extracellular lactate content(P<0.001)and a decrease in glucose content(P<0.001),interleukin-6(P<0.000 1)and tumor necrosis factor-α(P<0.001).The expression levels of glycolysis-related genes glucose transporter protein-1(P<0.001),glyceraldehyde 3-phosphate dehydrogenase(P<0.001),monocarboxylic acid transporter protein-1(P<0.001)and HIF-1α(P<0.001)in the model group were all up-regulated,accompanied by oxidative stress and overproduction of ROS.Compared with the model group,Compound 3k treatment effectively increased cell proliferation activity and inhibited the level of overactive glycolysis(P<0.001),while suppressing the expression of genes related to inflammation(P<0.001)and glycolysis in osteoarthritic chondrocytes,inhibiting oxidative stress,downregulating the expression level of HIF-1α(P<0.000 1)and decreasing the content of ROS.To conclude,Compound 3k inhibits interleukin-1β induced chondrocyte inflammation,and its mechanism may be related to glycolysis and HIF-1α/ROS mediated oxidative stress.