Objective Bioinformatics and machine learning were used to identify associations between key genes in obesity and osteoarthritis(OA)and immune infiltrating cells.Methods Three datasets GSE55235,GSE44000 and GSE151839 were screened from the gene expression omnibus(GEO)database,and differentially expressed genes(DEGs)were obtained by R software,and their potential biological functions were explored through gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)signaling pathway enrichment analysis.The minimum absolute contraction and selection operator(LASSO)regression algorithm combined with support vector machine(SVM)was used to screen characteristic genes,the diagnostic value of key genes was verified by receiver operating characteristic(ROC)curve,and the immune infiltration was assessed by CIBERSORT algorithm.The mRNA-miRNA regulatory network was constructed using NetworkAnalyst database to predict target miRNA and Cytoscape software,and the correlation between key genes and immune infiltration was analyzed.Results GO gene enrichment analysis obtained 99 DEGs.Cellular activation in the immune system and immune response is highly enriched.KEGG pathway analysis showed significant enrichment of interleukin(IL-17),nuclear factor-κB(NF-κB),B-cell receptor and chemokine signaling pathways.Two key diagnostic genes(MXRA5 and MYC)were identified based on machine learning.Immunoinfiltration analysis showed that MXRA5 was associated with resting and activated CD4 memory T cells,activated NK cells,resting and activated mast cells,and M0 macrophages.In addition,MYC is associated with resting and activated CD4 memory T cells,plasma cells,activated NK cells,resting and activated mast cells,M2 macrophages,and eosinophils.CD4+cells,NK cells and mast cells were significantly associated with these two pivot genes.Conclusion Two key immune-related genes were identified through bioinformatics analysis,which may provide new targets for the treatment of obesity-related OA.

The cisplatin-based concurrent chemoradiotherapy (CCRT) has been accepted as a standard treatment for most locally advanced cervical cancer. Compared with radiation therapy alone, CCRT can increase tumor control and survival rates, whereas it also can increase the incidence of acute hematological toxicity, which results in the treatment interruption or delay, and may even affect clinical efficacy and prognosis of patients. Therefore, how to reduce the incidence and severity of acute hematological toxicity induced by CCRT is a hot spot of clinical research. Previous studies have demonstrated that the occurrence of hematological toxicity is associated with the volume and dose of irradiated pelvic bone marrow. With the development of modern radiotherapy technology, precise radiotherapy technologies, such as intensity-modulated radiotherapy (IMRT) and image-guided radiotherapy (IGRT), not only guaranteed the enough dose for tumor, but also realized the protection of normal tissues. This article will focus on the feasibility of bone marrow sparing during CCRT for cervical cancer, and summarize the research progress in recent years.

OBJECTIVETo develop a standard Neglect Evaluation Scale which is suitable for rural primary school students in China.

METHODSAccording to the principle of multi-stage stratified cluster sampling, a field investigation was conducted among primary school students in 28 counties from 7 provinces and 2 municipalities. The questionnaires were self-designed, and determined by multiple rounds of pilots and revisions. Among 5 862 students, 2 792 (6-8 years' old) and 3 070 (9-11 years' old) were investigated by using two kinds of Neglect Evaluation questionnaires, respectively. After project analysis, factor analysis, reliability and validity analysis, the reliability and stability of the scale were tested. Then percentile method was used to determine the evaluation standard to develop and finalize the formal scale.

RESULTSThe numbers of the remaining items for 6-8 year-old group and 9-11 year-old group is 69 and 58, respectively, both of which contain six levels of neglect, including body, emotion, health care, education, security, and society. 4 times of factor analysis were conducted in both of the two groups. The factor loadings in these two groups were 0.290-0.700 and 0.276-0.729 respectively. Reliability test results showed that the two kinds of scales' Cronbach alpha coefficient were 0.924 and 0.929 respectively, split-half reliability were 0.891 and 0.904 respectively, the retest reliability were 0.559 and 0.892 respectively, the differences were statistically significant (P < 0.05). The retest reliability among 6-8 year-old group in medical neglect level had no statistical significance, but was close to the cut-off point (P = 0.054). The test results of external validity indicated that both of the two scales could reflect the neglect status of the subjects (P < 0.05), but the subjective and objective evaluation towards neglect were not consistent. The cut-off points for judging whether the children were neglected or not among 6-8 year-old and 9-11 year-old groups were 159 and 137 respectively; and the adjusted values were 160 and 135 respectively.

CONCLUSIONThe two norm scales developed by this study showed good discriminability, reliability, validity, and stability. The norms developed on the basis of the scales was suitable for the situation of rural students in primary schools in China.

Child ; Child Abuse ; China ; Factor Analysis, Statistical ; Humans ; Reproducibility of Results ; Rural Population ; Schools ; Students ; Surveys and Questionnaires

OBJECTIVETo analyze pupils' neglect status aged 6-11 years in China's rural.

METHODSAccording to the principle of multi-stage stratified cluster sampling, to extract 7,943 pupils aged 6-11 years for the survey from 56 primary schools in 28 counties in nine provinces, from December 2012 to March 2013. Proceed questionnaire survey by the scale from "Neglect Evaluation Norms for pupils aged 6-8 years in Rural Areas of China" and "Neglect Evaluation Norms for pupils aged 9-11 years in Rural Areas of China". And analyze neglect rates and neglect degrees of the different grades, gender, family types and different levels of neglect.

RESULTSThe total neglect rate of China's rural pupils aged 6-8 and 9-11 years was 40.2% (1,258/3,130) and 42.5% (1,498/3,526) respectively, which differences had no statistical significant (χ2=3.59, P=0.058); the total neglect degree was 46.04±8.87 and 44.78±10.43 respectively, which differences had statistical significant (t=5.01, P<0.001); the differences of neglect rates and neglect degrees between male (41.4% (657/1,587) and 46.28±8.76) and female (39.0% (601/1,543) and 45.78±8.97) of aged 6-8 were all no statistical significant (χ2=1.87, P=0.171; t=1.49, P=0.136); the neglect rates and neglect degrees of male (46.3% (816/1,763) and 45.53±10.11) were higher than female (38.7% (682/1,763) and 44.06±10.69) in the group of aged 9-11, which differences were all statistical significant (χ2=20.84, t=3.97, P<0.001); the male neglect rate in the group of aged 6-8 in social neglect (11.7% (198/1,691)) and the neglect degree in educational neglect (48.09±9.70) were higher than female (9.4% (155/1,648) and 47.37±9.89), which differences were all statistical significance (χ2=14.55, P<0.001, t=2.22, P=0.026), the male neglect rate in the group of aged 9-11 in physical neglect (20.4% (398/1,954)) was higher than female (16.7% (326/1 957)), which differences had statistical significance (χ2=8.92, P=0.003).

CONCLUSIONThe neglect status of Chinese pupils aged 6-11 years in rural was serious, and we should find out risk factors and provide efficient prevention measures.

Child ; Child Abuse ; China ; Female ; Humans ; Male ; Physical Examination ; Pupil ; Risk Factors ; Rural Population ; Schools ; Surveys and Questionnaires