[Objective]To investigate the non-suicidal self-injury(NSSI)behaviors in adolescents with depressive disorder,analyze related influencing factors,and provide theoretical basis and reference for the prevention and treatment of NSSI.[Methods]According to DSM-5 criteria,95 depressive adolescents were divided into two groups:one with NSSI(NSSI group)and one without NSSI(nNSSI group).All patients were assessed with Adolescent Non-suicidal Self-injury Assessment Questionnaire(ANSAQ),Self-Rating Depression Scale(SDS),Self-Rating Anxiety Scale(SAS),Simplified Coping Style Questionnaire(SCSQ),Experiences in Close Relationships-Relationship Structures Scale(ECR-RS),and Childhood Trauma Questionnaire-Short Form(CTQ-SF).The inter-group differences were compared.The influencing factors of NSSI were analyzed by using binary logistic regression.[Results]Of the 95 depressive adolescents,59 cases of NSSI were identified,with a detection rate of 62.11%.NSSI group had higher scores than nNSSI group on SDS,SAS,negative coping style,paternal attachment anxiety,maternal attachment anxiety and avoidance,CTQ-SF total score,emotional neglect,physical neglect,emotional abuse,and sexual abuse(all P<0.05).Binary logistic regression analysis showed that anxiety,negative coping style,maternal attachment avoidance and emotional abuse increased the risk of NSSI among adolescents with depressive disorders(all P<0.05).[Conclusions]Adolescents with depression have a high incidence of NSSI behaviors,which is related to anxiety,negative coping style,maternal attachment avoidance and emotional abuse.In addition to improving patients' depression and anxiety in clinical setting,attention should also be paid to patients' coping styles,parent-child relationship and childhood trauma to reduce the occurrence of NSSI behaviors.

Objective: To investigate the mechanism underlying the effects exerted by the Qizhu prescription (QZP) in breast cancer (BC), and the respective targets. Methods: Expression data from the ArrayExpress and The Cancer Genome Atlas (TCGA) were used to identify differentially expressed genes (DEGs) in BC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on the DEGs to identify genes involved in protein–protein interactions. Molecular docking was used to explore the dynamic relationship between active molecules and targets. Cell function experiments and animal studies were conducted to evaluate the effects of hub genes and active QZP compounds on BC cell behavior. Results: Among the 25 evaluated BC-related targets of QZP, matrix metalloproteinase-1 (MMP1) and epidermal growth factor receptor (EGFR) exhibited the highest degrees of dysregulation. GO and KEGG enrichment analyses revealed that the anti-BC targets of QZP primarily affected drug responses and pathways in cancer cells. Molecular docking analysis suggested potential interactions between EGFR and quercetin/luteolin, as well as between MMP1 and luteolin/kaempferol/quercetin. Quercetin significantly reduced BC cell proliferation, migration, invasion, and tumor development in vivo. Treatment of BC cells with quercetin decreased the expression or activation of several associated proteins. Conclusion The findings of our study provide new insights into the therapeutic potential of traditional Chinese medicine against BC, with particular reference to QZP.

Objective: To investigate the specificity of endogenous metabolic profile in plasma of patients with occupational acute methyl acetate poisoning using non-targeted metabolomics. Methods: A total of six patients with occupational acute methyl acetate poisoning were selected as the poisoning group, while 10 healthy workers without occupational exposure history of chemical hazards in the same industry were selected as the control group using the judgment sampling method. Metabolites in patient plasma of the two groups were detected using ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry, and non-targeted metabolomics analysis was performed. Principal component analysis and partial least squares discriminant analysis were used to identify differential metabolites and analyze their metabolic pathways. Results: There were significant differences in metabolite profiles in patient plasma between poisoning group and control group. A total of 195 differentially expressed metabolites were screened in plasma of patients in poisoning group, including 119 upregulated and 76 downregulated metabolites. Lipid substances (lipids and lipid-like molecules) accounted for the highest proportion (21.5%). The differential metabolites of poisoning group were related to folate biosynthesis, amino acid metabolism, pyrimidine metabolism, sphingolipid biosynthesis and other metabolic pathways in plasma compared with the control group (all P<0.05). Conclusion: Occupational acute methyl acetate poisoning affects metabolism of the body. The folic acid biosynthesis, amino acid and lipid metabolism and other pathways may be involved in the occurrence and development of poisoning.

Objective:To evaluate the efficacy of infra-acetabular screw placement assisted by orthopedic navigation robot in the treatment of acetabular fractures.Methods:The data of 34 patients who were treated and followed up from September 2021 to September 2022 were retrospectively analyzed. According to the fixation method, the patients were divided into the robot group (robot assisted placement of infra-acetabular screws) and the control group (placement of the pubis-ischium plate manually). There were 16 patients in the robot group, 7 males and 9 females, aged 57.00±6.00 years (range, 51-70 years). According to Letournel classification, there were 8 cases of both-column fractures, 4 cases of anterior column and posterior hemitransverse fractures, and 4 cases of T-shaped fractures. There were 18 cases in the control group, 8 males and 10 females, aged 54.22±8.95 years (range, 38-69 years). According to Letournel classification, there were 10 cases of both-column fractures, 6 cases of anterior column and posterior hemitransverse fractures, and 2 cases of T-shaped fractures. The intraoperative fluoroscopy times, total operation time, exposure time and screw placement (plate) time, blood loss, Matta evaluation, Majeed score, and screw placement accuracy rate (the degree of screw cutting-out was evaluated according to Lonstein criteria) were compared between the two groups.Results:All patients were followed up for 12.21±3.62 months (range, 6-17 months). In the robot group, the fluoroscopy frequency was 9.69±0.95 times (range, 8-11 times), the screw placement time was 34.32±5.28 min (range, 21-45 min), and the blood loss was 461.88±228.71 ml (range, 200-800 ml). The control group was 10.11±1.41 times (range, 7-13 times), 42.89±4.38 min (range, 36-55 min), 674.44±220.65 ml (range, 420-1,100 ml), respectively. There were significant differences in screw (plate) placement time ( t=5.18, P<0.001) and blood loss ( t=2.76, P<0.001). The accuracy of robot screw placement was 100%. According to Lonstein evaluation, there were 14 cases of grade 0 (87.5%, 14/16) and 2 cases of grade I (12.5%, 2/16). At 30 days of follow-up, all patients had good fracture ends and no internal fixation failure occurred. One week after surgery, the results of Matta evaluation in robot group were excellent in 11 cases, good in 3 cases, and poor in 2 cases, with an excellent and good rate of 87.5%. In the control group, 11 cases were excellent, 4 cases were good, and 3 cases were poor, with an excellent and good rate of 83.3%. There was no significant difference in the excellent and good rate of Matta evaluation between the two groups (χ 2=0.23, P=0.892). At last follow-up, the Majeed score of robot group was 87.81±8.82 (range, 71-98), including excellent in 10 cases, good in 5 cases, and fair in 1 case. The score of the control group was 86.22±6.85 (range, 70-95), including 12 cases of excellent, 4 of good, and 2 of fair. There was no significant difference in Majeed score between the two groups ( t=0.59, P=0.551). No complications related to the use of robot-assisted navigation or plate fixation were observed in both groups. Conclusion:Through the navigation planning and assistance of the robot, the infra-acetabular screws can be accurately and safely placed, which avoids the shortcomings of excessive exposure and bleeding during the application of the pubis-ischium plate, the outcome was similar to that of plate treatment.

Objective To establish a method for the determination of thallium and its soluble compounds in workplace air using microporous filter membrane sampling and inductively coupled plasma mass spectrometry (ICP-MS). Methods Thallium and its soluble compounds in workplace air were collected using microporous filter membranes, digested with nitric acid, quantified using lutetium internal standard method, and detected by ICP-MS. Results The linear range of thallium was 0.00 to 600.00 μg/L, with the correlation coefficient of 1.000. The detection limit was 0.08 μg/L, and the lower limit of quantification was 0.26 μg/L. The minimum detection concentration and minimum quantitation concentration of thallium of 75.00 L workplace air were 1.0×10^-5 and 3.0×10^-5 mg/m³, respectively. The minimum detection concentration and minimum quantitation concentration of thallium of 480.00 L workplace air was 2.0×10^-6 and 5.0×10^-6 mg/m³, respectively. The recovery rate of spiking was 100.82%-103.44%, and the relative standard deviation within- and between-batches was 1.50%-3.32% and 1.32%-3.11%, respectively. The sample could be stored at room temperature for at least 14 days. Conclusion This method can be used for the detection of thallium and its soluble compounds in workplace air.

Gut microbiome is an important part of the human gut, which is closely related to human health and disease. Alzheimer's disease (AD) is a kind of neurodegenerative diseases, and its underlying pathogenesis has not been fully elucidated. In recent years, studies have shown obvious differences in gut microbiome composition between AD patients and healthy subjects. Comprehensive changes in gut microbiota composition may play a role in AD progression through the gut-brain axis. However, the mechanism of this interlinkage is not yet fully understood. In this review, we explore the mechanism of gut microbiota's influence in AD through gut-brain axis regulation.

Objective: To investigate routine blood test results and secular changes among Tibetan children and adolescents aged from 3 to 19 in the plateau, and to provide the basis for reference range of routine blood test for this population. Methods: A total of 1 568 Tibetan children and adolescents aged from 3 to 19 living in Shigatse, Tibet were selected by cluster random sampling method. Routine blood test results and its secular trends were compared by age and gender. Results: Significantly differences were found in red blood cell(RBC), hemoglobin(HGB), hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin(MCH), white blood cell(WBC), neutrophil(NEU), neutrophil percentage (NEU%), lymphocyte(LYM), lymphocyte percentage(LYM%)，monocyte percentage(MON%)，eosinophil percentage(EOS%),basophil percentage(BAS%) and platelet(PLT) among the four age groups of 3-5, 6-12, 13-15, and 16-19 years ( F/H =60.22, 179.41, 249.45, 115.03, 74.90, 14.33 , 33.46, 78.90, 49.20, 97.29, 24.45,24.28,42.65,20.10, P <0.05). Among red blood cell indexes, RBC, HGB, HCT,MCH increased with age in boys( F =148.77, 493.04, 623.14, 249.92, P <0.05), but there was no similar trend in girls( F =1.37, 0.15, 2.94, 0.11, P >0.05). HCT showed significant sex differences among the four age groups of 3-5 years, 6-12 years, 13-15 years, and 16-19 years [(41.33±2.31)% vs (41.98±2.40)%; (43.28±2.60)% vs ( 43.75 ±2.36)%; (46.20±3.11)% vs (44.83±2.67)%; (51.10±4.15)% vs (43.61±4.70)%, t =-2.10, -2.88, 3.50, 10.82, P <0.05]. WBC, NEU, NEU%, LYM, LYM%, monocyte(MON), and MON% increased significantly with age in both boys and girls ( P <0.05). From the age of 12 to 13, RBC, HGB and HCT in Tibetan male and female adolescents showed an opposite trend and widened gradually. Conclusion Red blood cell index shows significantly different trends among Tibetan adolescents and children of different ages and genders. Regional nationality, age, gender, and other factors should be considered when developing the reference value range of blood routine index.

Objective To analyze the dosimetric effect of the optimization tool, normal tissue objective (NTO), in Eclipse on the intensity modulated radiation therapy (IMRT) for postoperative patients with rectal cancer. Methods Twenty postoperative patients with rectal cancer were randomly selected. Based on the Eclipse treatment planning system, three IMRT plans were formulated for each patient, with manual NTO as the control group, and automatic NTO and no NTO as the other two groups. The dosimetric parameters of the target volume and organs at risk (OAR) and the monitor units (MU) were compared between the automatic NTO and no NTO groups and the control group under the same optimization conditions. Results Compared with the control group, the automatic NTO group showed a worse conformity index (CI) (t = 3.248, P < 0.05), a 0.6% higher D_mean of normal tissues (t = -3.678, P < 0.05), and no significant difference in the dose to OAR and the MU (P > 0.05); the no NTO group showed a worse CI (t = 16.716, P < 0.05), a better homogeneity index (t = 6.594, P < 0.05), a 3.19% higher D_mean of normal tissues (t = -8.560, P < 0.05), no significant difference in the dose to OAR except the small intestine with higher D_max (P > 0.05), and a 3.95% increase in the MU. Conclusion From the dosimetry results of the target volume and OAR, the plans with manual NTO and automatic NTO, and without NTO can meet clinical needs, but the plan without NTO increases the hot spots outside the target volume and the MU as well as the D_mean of normal tissues. Manual NTO has no obvious advantages over automatic NTO which is recommended for the fixed-field IMRT of rectal cancer.

Ulcerative colitis(UC)is a chronic inflammatory bowel disease caused by many factors including colonic inflammation and microbiota dysbiosis.Previous studies have indicated that celastrol(CSR)has strong anti-inflammatory and immune-inhibitory effects.Here,we investigated the effects of CSR on colonic inflammation and mucosal immunity in an experimental colitis model,and addressed the mechanism by which CSR exerts the protective effects.We characterized the ther-apeutic effects and the potential mechanism of CSR on treating UC using histological staining,intestinal permeability assay,cytokine assay,flow cytometry,fecal microbiota transplantation(FMT),16S rRNA sequencing,untargeted metabolomics,and cell differentiation.CSR administra-tion significantly ameliorated the dextran sodium sulfate(DSS)-induced colitis in mice,which was evidenced by the recovered body weight and colon length as well as the decreased disease activity index(DAI)score and intestinal permeability.Meanwhile,CSR down-regulated the production of pro-inflammatory cytokines and up-regulated the amount of anti-inflammatory mediators at both mRNA and protein levels,and improved the balances of Treg/Thl and Treg/Th1 7 to maintain the colonic immune homeostasis.Notably,all the therapeutic effects were exerted in a gut microbiota-dependent manner.Furthermore,CSR treatment increased the gut microbiota diversity and changed the compositions of the gut microbiota and metabolites,which is probably associated with the gut microbiota-mediated protective effects.In conclusion,this study provides the strong evidence that CSR may be a promising therapeutic drug for UC.

Objective:To explore the transcriptional regulation mechanism of transforming growth factor β 1 (TGF-β 1) on Meox1 and its effect on cell migration of adult human dermal fibroblasts (HDF-a). Methods:(1) HDF-a cells were cultured in RPMI 1640 complete medium (hereinafter referred to as routinely cultured). The cells were divided into TGF-β 1 stimulation group and blank control group. The cells in TGF-β 1 stimulation group were stimulated with 10 μL TGF-β 1 in the mass concentration of 1 mg/μL, while the cells in blank control group were stimulated with the equal volume of phosphate buffer solution. After 72 hours in culture, partial cells in both groups were collected for transcriptome sequencing. The genes with differential expression ratio greater than or equal to 2 and P<0.01 between the two groups were selected to perform enrichment analysis and analysis of metabolic pathways of the Kyoto Gene and Genome Encyclopedia with, and the expression value of Meox1 per million transcripts (TPM) was recorded ( n=3). Partial cells from the two groups were used to detect the Meox1 mRNA expression by real-time fluorescent quantitative reverse transcription polymerase chain reaction (RT-PCR) ( n=3). (2) Cultured HDF-a cells in the logarithmic growth phase (the same growth phase of cells below) were divided into empty plasmid group, Smad2 overexpression (OE) group, Smad3 OE group, and Smad4 OE group, which were transfected respectively with 2 μg empty pcDNA3.1 plasmid and pcDNA3.1 plasmids separately carrying Smad2, Smad3, and Smad4 for 6 hours, and then were routinely cultured for 48 hours. The Meox1 mRNA expression in the transfected cells of each group was detected by real-time fluorescent quantitative RT-PCR ( n=3). (3) HDF-a cells were routinely cultured and grouped the same as in experiment (1). After 72 hours in culture, the enrichment of Smad2, Smad3, and Smad4 protein on the Meox1 promoter in the cells of each group was detected by chromatin immunoprecipitation-quantitative PCR (ChIP-qPCR) ( n=3). (4) HDF-a cells were routinely cultured and divided into negative interference group, small interference RNA (siRNA)-Smad2 group, siRNA-Smad3 group, siRNA-Smad4 group, empty plasmid group, Smad2 OE group, Smad3 OE group, and Smad4 OE group, which were transfected respectively with 50 μmol/L random siRNA, siRNA-Smad2, siRNA-Smad3, siRNA-Smad4, 2 μg empty pcDNA3.1 plasmid and pcDNA3.1 plasmids separately carrying Smad2, Smad3, and Smad4 for 6 hours and then routinely cultured for 48 hours. The enrichment of Smad2, Smad3, and Smad4 protein on the Meox1 promoter in the cells of corresponding group was detected by ChIP-qPCR ( n=3). (5) Two batches of HDF-a cells were cultured and divided into negative interference group, siRNA-Meox1 group, empty plasmid group, and Meox1 OE group, which were transfected respectively with 50 μmol/L random siRNA, siRNA-Meox1, 2 μg empty pcDNA3.1 plasmid and pcDNA3.1 plasmid carrying Meox1 for 6 hours and then routinely cultured for 24 hours. One batch of cells were subjected to scratch test with the scratch width being observed 24 hours after scratching and compared with the initial width for scratch wound healing; the other batch of cells were subjected to Transwell assay, in which the migrated cells were counted after being routinely cultured for 24 hours ( n=3). (6) From January 2018 to June 2019, 3 hypertrophic scar patients (2 males and 1 female, aged 35-56 years) were admitted to the First Affiliated Hospital of Army Medical University (the Third Military Medical University) 8-12 months after burns. The scar tissue and normal skin tissue along the scar margin resected during surgery were taken, and immunohistochemical staining was performed to observe the distribution of Meox1 protein expression. Data were statistically analyzed with one-way analysis of variance and independent sample t test. Results:(1) After 72 hours in culture, a total of 843 genes were obviously differentially expressed between the two groups, being related to tissue repair, cell migration, inflammatory cell chemotaxis induction process and potential signaling pathways such as tumor necrosis factor, interleukin 17, extracellular matrix receptor. The TPM value of Meox1 in the cells of blank control group was 45.9±1.9, which was significantly lower than 163.1±29.5 of TGF-β 1 stimulation group ( t=6.88, P<0.01) with RNA-sequencing. After 72 hours in culture, the Meox1 mRNA expression levels in the cells of blank control group was 1.00±0.21, which was significantly lower than 11.00±3.61 of TGF-β 1 stimulation group ( t=4.79, P<0.01). (2) After 48 hours in culture, the Meox1 mRNA expression levels in the cells of Smad2 OE group, Smad3 OE group, and Smad4 OE group were 198.70±11.02, 35.47±4.30, 20.27±2.50, respectively, which were significantly higher than 1.03±0.19 of empty plasmid group ( t=31.07, 13.80, 13.12, P<0.01). (3) After 72 hours in culture, the enrichment of Smad2, Smad3, and Smad4 protein on the promoter of Meox1 in the cells of TGF-β 1 stimulation group was significantly higher than that of blank control group respectively ( t=12.99, 41.47, 29.10, P<0.01). (4) After 48 hours in culture, the enrichment of Smad2 protein on the promoter of Meox1 in the cells of negative interference group was (0.200 000±0.030 000)%, significantly higher than (0.000 770±0.000 013)% of siRNA-Smad2 group ( t=11.67, P<0.01); the enrichment of Smad2 protein on the promoter of Meox1 in the cells of empty plasmid group was (0.200 000±0.040 000)%, significantly lower than (0.700 000±0.090 000)% of Smad2 OE group ( t=8.85, P<0.01). The enrichment of Smad3 protein on the promoter of Meox1 in the cells of negative interference group was (0.500 0±0.041 3)%, significantly higher than (0.006 0±0.001 3)% of siRNA-Smad3 group ( t=17.79, P<0.01); the enrichment of Smad3 protein on the promoter of Meox1 in the cells of empty plasmid group was (0.470 0±0.080 0)%, which was significantly lower than (1.100 0±0.070 0)% of Smad3 OE group ( t=9.93, P<0.01). The enrichment of Smad4 protein on the promoter of Meox1 in the cells of negative interference group was similar to that of siRNA-Smad4 group ( t=2.11, P>0.05); the enrichment of Smad4 protein on the promoter of Meox1 in the cells of empty plasmid group was similar to that of Smad4 OE group ( t=0.60, P>0.05). (5) Twenty-four hours after scratching, the scratch healing width of cells in siRNA-Meox1 group was narrower than that of negative interference group, while that of Meox1 OE group was wider than that of empty plasmid group. After 24 hours in culture, the number of migration cells in negative interference group was significantly higher than that in siRNA-Meox1 group ( t=9.12, P<0.01), and that in empty plasmid group was significantly lower than that in Meox1 OE group ( t=8.99, P<0.01). (6) The expression of Meox1 protein in the scar tissue was significantly higher than that in normal skin of patients with hypertrophic scars. Conclusions:TGF-β 1 transcriptionally regulates Meox1 expression via Smad2/3 in HDF-a cells, thus promoting cell migration.