Objective: To analyze the distribution characteristics of school bullying related contents on the Douyin platform, and to provide a scientific basis for the prevention and intervention of school bullying in the online environment. Methods: Web crawler technology was employed to collect data related to school bullying from Douyin in May 2025, using 21 keywords including "school violence" and "child being beaten". A dataset comprising video titles, publisher types, and interaction metrics was constructed. After manual screening and classification, the content themes, engagement characteristics, and sentiment tendencies of titles were analyzed. Results: A total of 2 388 valid videos released between January 2019 and May 2025 were included. Physical bullying (767 cases, 32.12%) and verbal bullying (534 cases, 22.36%) were the most common types. Content themes differed significantly across account types ( χ 2=782.85, P <0.01). Official media accounts predominantly focused on case reports ( AR = 14.52 ) and legal updates ( AR =5.49), and social media influencer accounts preferred scenario reenactments ( AR =4.07) and film clips ( AR =3.83), while ordinary users focused on coping strategies ( AR =8.76). Account types had a stronger effect on engagement metrics than content themes (all P <0.01). Sentiment analysis of titles revealed that official media accounts tended toward negative sentiment ( AR = 6.41), social media influencer accounts toward neutral sentiment ( AR =2.47), and ordinary users toward positive sentiment ( AR =4.44). Keyword analysis showed high frequency terms related to responsible parties such as "children" "parents", and "classmates" , while demand oriented words like "how" were prominent. Conclusions School bullying related contents on Douyin demonstrate significant dissemination stratification by account type, and the dissemination effect is significantly influenced by the type of content publisher. There is a clear public demand for practical guidance on bullying prevention and intervention strategies.

Pharmacotranscriptomic profiles, which capture drug-induced changes in gene expression, offer vast potential for computational drug discovery and are widely used in modern medicine. However, current computational approaches neglected the associations within gene‒gene functional networks and unrevealed the systematic relationship between drug efficacy and the reversal effect. Here, we developed a new genome-scale functional module (GSFM) transformation framework to quantitatively evaluate drug efficacy for in silico drug discovery. GSFM employs four biologically interpretable quantifiers: GSFM_Up, GSFM_Down, GSFM_ssGSEA, and GSFM_TF to comprehensively evaluate the multi-dimension activities of each functional module (FM) at gene-level, pathway-level, and transcriptional regulatory network-level. Through a data transformation strategy, GSFM effectively converts noisy and potentially unreliable gene expression data into a more dependable FM active matrix, significantly outperforming other methods in terms of both robustness and accuracy. Besides, we found a positive correlation between RS_GSFM and drug efficacy, suggesting that RS_GSFM could serve as representative measure of drug efficacy. Furthermore, we identified WYE-354, perhexiline, and NTNCB as candidate therapeutic agents for the treatment of breast-invasive carcinoma, lung adenocarcinoma, and castration-resistant prostate cancer, respectively. The results from in vitro and in vivo experiments have validated that all identified compounds exhibit potent anti-tumor effects, providing proof-of-concept for our computational approach.

Objective: To analyze the current nutritional composition of commonly consumed prepackaged foods among children in Chengdu and to provide a scientific basis for health education among children and adolescents. Methods: Based on the 3 day and 24 hour dietary data of children aged 6-12 in Chengdu of the Southwest China Childhood Nutrition and Growth Cohort from 2021 to 2022, the nutritional information of prepackaged foods was collected by combining offline and online methods. All foods were classified step by step, and the nutrient content of each 100 g or 100 mL food was counted and graded. Results: A total of 1 902 children s prepackaged foods in 23 sub categories of 10 major categories were investigated. Nuts and seeds, snack foods, instant foods and other dairy products had higher total energy(2 476, 2 027, 1 728, 1 816 kJ/100 g), with the nutrient reference value percentage(NRV%) exceeding 20%. Fish, poultry, meat, eggs and their products had the highest protein content(22.8 g/ 100 g ) with an NRV% of 38%, nuts and seeds had the highest fat content(47.5 g/100 g) with an NRV% of 79%, confectionery and jelly had the highest carbohydrate content(82.1 g/100 g) with an NRV% of 27%, and seasoning flour products had the highest sodium content with an NRV% up to 118%. Seasoning flour products and instant foods were mostly high sodium, high fat and high carbohydrate food. Baked and puffed foods were almost high fat and high carbohydrate. Fish, poultry, meat, eggs, beans and their products were rich in protein but mostly high in sodium. Beverages and cold drinks were low in other nutrients except carbohydrate. Conclusion The nutrient content of various prepackaged foods commonly consumed by children in Chengdu are quite different. Most of the foods consumed by children are high sodium, high fat and/or high carbohydrate. Nutrition education should be strengthened to help children choose healthy foods.

Objective: To detect the differences in the expression of Yes-associated protein(YAP) in non-cardia gastric cancer and normal gastric tissue and analyze the associations between single nucleotide polymorphisms(SNP) in the YAP gene andits protein expression,and to preliminarily discuss the correlationbetween YAP and the development of non-cardia gastric cancer,so as to provide new ideas for the prevention and treatment of non-cardia gastric cancer. Methods: 126 casesofnon-cardia gastric cancer tissues and 104 cases of paracancerous normal tissues were collected and set as case group and control group,respectively. Immunohistochemical SP assay was used to detect the expression of YAP in non-cardia gastric cancer tissues and adjacent normal tissues. Taqman method was used for genotyping. The unconditional logistic regression method was used to calculate the odds ratio(OR) and its 95%confidence interval(CI) to detect the associations between YAP SNPs and the expression of YAP protein under Codominant,Dominant,Overdominant,Recessive,and Log-additive genetic models. Results: The expression of YAP protein in non-cardia gastric cancer tissues was significantly higher than that in normal gastric tissues(P<0. 001).The expression level of YAP protein was negatively correlated with the degree of tumor differentiation(P<0. 05).There was no correlationbetween the expression level of YAP protein and gender,age,lymph node metastasis and tumor size respectively(P>0. 05). No associations were found between SNP rs11225163 and rs1820453 and the expression of YAP protein under Codominant,Dominant,Overdominant,Recessive and Log-additive genetic models.Haplotype was constructed by Haploview 4. 2 software,and the association between haplotype and YAP protein expression was analyzed. Conclusion YAP may be involved in the development of non-cardia gastric cancer.

Objective:To develope a deep-learning-based auto-segmentation model to segment organs at risk (OARs) in head and neck (H&N) region and compare with atlas-based auto-segmentation software (Smart segmentation).Methods:The auto-segmentation model consisted of classification model and segmentation model based on deep learning neural network. The classification model was utilized to classify CT slices into six categories in the cranio-caudal direction, and then the CT slices corresponding to the categories for different OARs were pushed to the segmentation model respectively. The CT image data of 150 patients were used for auto-segmentation model training and building atlas library in Smart segmentation software. Another 20 patients were used as testing dataset for both auto-segmentation model and Smart segmentation software. Dice similarity coefficient (DSC) and Hausdorff distance (HD) were used to evaluate the accuracy of two method, and auto-segmentation time cost was recorded. Paired Student′s t-test or non-parametric Wilcoxon signed-rank test was performed depending on result of normality test. Results:The DSC and HD of auto-segmentation model for brainstem, left eye, right eye, left optic nerve, right optic nerve, left temporal lobe, right temporal lobe, mandible, left parotid and right parotid were 0.88 and 4.41 mm, 0.89 and 2.00 mm, 0.89 and 2.12 mm, 0.70 and 3.00 mm, 0.80 and 2.24 mm, 0.81 and 7.98 mm, 0.84 and 8.82 mm, 0.89 and 5.57 mm, 0.70 and 11.92 mm, 0.77 and 11.27 mm respectively. The results of auto-segmentation model were better than those of Smart segmentation ( t=3.115-7.915, Z=-1.352 to -3.921, P<0.05) except left and right parotids. In addition, the speed of auto-segmentation model was 51.28% faster than that of Smart segmentation. Conclusions:In this study, the deep-learning-based auto-segmentation model demonstrated superior performance in accuracy and efficiency on segmenting OARs in H&N CT images, which was better than Smart segmentation software.

Objective To investigate the expressions of large tumor suppressor kinase 1 (LATS1) and large tumor suppressor kinase 2 (LATS2) proteins in gastric cancer tissues, and to explore the correlation between expressions of LATS1 and LATS2 proteins and the occurrence and development of gastric cancer. Methods A total of 93 gastric cancer paraffin tissues and the corresponding adjacent gastric normal mucosa in the Department of Pathology in Baotou Cancer Hospital from September 2008 to June 2010 were collected. The immunohistochemistry was used to detect the expressions of LATS1 and LATS2 proteins in gastric cancer and adjacent normal tissues. The differences of the expressions of LATS1 and LATS2 proteins in gastric cancer and adjacent normal tissues were compared by usingχ2 test. The relationship between the expressions of LATS1 and LATS2 proteins and the clinicopathological features was also analyzed. Results In gastric cancer tissues, LATS1 was negatively expressed in 54 cases (58.1％), weakly positive expressed in 15 cases (16.1％), moderately positive expressed in 16 cases (17.2％), and strongly positive expressed in 8 cases (8.6％);in adjacent normal tissues, LATS1 was negatively expressed in 17 cases (18.3％), weakly positive expressed in 16 cases (17.2％), moderately positive expressed in 31 cases (33.3％), and strongly positive expressed in 29 cases (31.2％). The positive expression rate of LATS1 in gastric cancer tissues was lower than that in adjacent normal tissues, and the difference was statistically significant (χ2=37.460, P<0.01). In gastric cancer tissues, LATS2 was negatively expressed in 28 cases (30.1％), weakly positive expressed in 17 cases (18.3％), moderately positive expressed in 33 cases (35.5％), strongly positive expressed in 15 cases (16.1％);in adjacent normal tissues, LATS2 was negatively expressed in 5 cases (5.4％), weakly positive expressed in 7 cases (7.5％), moderately positive expressed in 32 cases (34.4％), strongly positive expressed in 49 cases (52.7％). The positive expression rate of LATS2 in gastric cancer tissues was lower than that in adjacent normal tissues, and the difference was statistically significant (χ2=38.275, P<0.01). The expressions of LATS1 and LATS2 were not related to patients'age, gender, lymph node metastasis, degree of differentiation and tumor diameter (all P>0.05). Conclusion LATS1 and LATS2 proteins may be involved in the occurrence of gastric cancer and have the inhibiting effect on the occurrence and development of gastric cancer.

Glioma is the most common brain tumor with a dismal prognosis. While temozolomide (TMZ) based chemotherapy significantly improves survival in glioma patients, resistance against this compound commonly leads to glioma treatment failure. Overexpression of long-noncoding RNA (LncRNA) FoxD2 adjacent opposite strand RNA 1 (FoxD2-AS1) was identified to promote glioma development, but the role in TMZ resistance remains unclear. In this paper, we found that FoxD2-AS1 was overexpressed in recurrent glioma, high FoxD2-AS1 expression was significantly correlated with poor patient outcome. Methylation of O⁶-methylguanine-DNA methyltransferase (MGMT) is significantly less frequent in high FoxD2-AS1 expression patients. Knockdown of FoxD2-AS1 decreased the proliferation, metastatic ability of glioma cells and promote the sensitivity to TMZ in glioma cells. Furthermore, knockdown of FoxD2-AS1 induced hypermethylation of the promoter region of MGMT. Our data suggested that FoxD2-AS1 is a clinical relevance LncRNA and mediates TMZ resistance by regulating the methylation status of the MGMT promoter region.
Brain Neoplasms ; Drug Resistance ; Drug Therapy ; Glioma ; Humans ; Methylation ; Prognosis ; Promoter Regions, Genetic ; RNA ; RNA, Long Noncoding ; Treatment Failure

Large tumor suppressor kinase 1 (LATS1) and LATS2 are the kinases found in recent years which can inhibit the tumor development. They are highly homologous and overlap in function. LATS1 and LATS2 proteins have been confirmed to be associated with the occurrence of multiple malignancies, including soft tissue sarcoma, leukemia, astrocytoma, breast cancer, prostate cancer, lung cancer, liver cancer, esophageal cancer, etc. Studies have shown that LATS has more extensive biological functions, such as regulating gene transcription and cell cycle checkpoint, inducing apoptosis, inhibiting cell migration, maintaining genetic stability and regulating organ size, and loss of any one can cause a variety of biological changes. So insighting into the structure and mechanism of LATS1 and LATS2 is the key to understanding the occurrence and development of tumors. The discovery of LATS gene and the structure, expression, target and function of LATS protein are summarized in this paper.

Objective To investigate the relationship between.serum 25-hydroxy vitamin D (25OHD) and parathyroid hormone (PTH) with the severity in elderly patients with osteoporosis.Methods A total of 160 patients with fractures treated in this hospital from January 2015 to January 2016 were selected and divided into the normal bone mass group(53 cases),osteopenia group (63 cases) and osteoporosis group(44 cases) according to the bone mineral density (BMD) in the lumbar vertebra 1-4,total hip and femoral neck any position.Then the serum levels of 25OHD,PTH,T value of BMD,serum osteocalcin (BGP) and bone alkaline phosphatase (ALP) were compared among 3 groups.Results The serum PTH detection value had no statistically significant difference among the normal group,osteopenia group and osteoporosis group (P＞0.05).The serum 25OHD level in the normal group was higher than that in the osteopenia group and osteoporosis group (P＜0.05);the serum BGP and.ALP levds in the normal group were significantly lower than those in the osteopenia group and osteoporosis group (P＜0.05).The level of serum 25OHD in the osteopenia group was higher than that in the osteoporosis group (P＜0.05).The level of serum BGP and ALP in the osteopenia group was significantly lower than that in the osteoporosis group (P＜0.05).The BMD value of the lumbar vertebra 1-4,total hip and femoral neck in the normal group was significantly higher than that in the steopenia group and osteoporosis group (P＜0.05).There was a significant positive correlation between serum 25OHD and the BMD value in lumbar vertebra 1-4,total hip joint and femoral neck (P＜0.05).Conclusion The level of serum 25OHD is significantly decreased in the patients with osteoporosis,and.is positively correlated with the BMD level.

Objective To investigate the action of immune factors(IgG and IgM)and cytokine(IL-8)in the pathogenesis of microscopic colitis.Methods Immunohistochemical methods and radioimmune methods were used to detect IgG and IgM in intestinal mucosa and IL-8 in serum respectively.The data of 32 cases who were diagnosed as microscopic colitis were compared with that of 71 irritable bowel syndrome(IBS)and 38 active ulcerative colitis(UC)patients who were assigned as the control group.Results The expression of IgG and IgM increased in MC group;there were significant differences compared with IBS group,but no significant differences compared with UC group;the level of IL-8 in MC group showed significant difference compared with UC group but had no significant difference compared with IBS group;the level of IL-8 in UC group increased obviously.Conclusion It is the disordered function of immune system that plays a main roles in the pathogenesis of MC,not inflammation.