Objective: To explore the association between negative life events and smartphone addiction among middle school students, so as to provide theoretical support and practical guidance for prevention and intervention of smartphone addiction among middle school students. Methods: Using cluster sampling, 8 890 students were selected to survey from 27 junior high schools and 3 senior high schools in a district of Shenzhen in 2022 (baseline) and 2023 (followup). Data were collected through selfresigned questionnaires on basic information, the Smartphone Addiction Scale-Short Version, and the Adolescent Selfrating Life Events Checklist. Mixedeffects models were employed to analyze the association. Results: Compared to 2022, the punishment scores of middle school students in 2023 [1.00 (0.00, 6.00) and 1.00 (0.00, 6.00)] decreased (Z=4.27), while the scores of interpersonal stress, learning stress and adaptation [4.00(0.00, 8.00), 4.00(0.00, 8.00); 4.00(1.00, 8.00), 5.00(2.00, 9.00); 2.00 (0.00, 6.00), 3.00 (0.00, 7.00)] increased (Z=-3.04, -8.36, -6.80) (P<0.01). Mixedeffects models revealed a positive doseresponse relationship between negative life events and smartphone addiction (OR=1.08-1.17, P<0.01). Stepwise regression showed independent positive effects of interpersonal stress (OR=1.05), academic stress (OR=1.03), and adaptation stress (OR=1.11) on smartphone addiction (P<0.01). Subgroup analysis of nonaddicted students in 2022 confirmed persistent associations for academic stress (OR=1.03) and adaptation (OR=1.07) (P<0.01). Conclusion Negative life events exhibit a positive doseresponse relationship with smartphone addiction, particularly interpersonal stress, academic stress, and adaptationrelated events.

Objective: To explore the longitudinal association between only-child status and smartphone addiction among middle school students, so as to provide a basis for establishing family intervention measures for smartphone addiction in middle school students. Methods: In October 2022 and October 2023, a preliminary survey and follow-up were conducted among 8 759 middle and high school students from 30 schools in a district of Shenzhen. A self-designed questionnaire was used to determine whether the students were the only-child, and the Chinese Version of the Smartphone Addiction Scale-Short Version (C-SAS-SV) was utilized to assess the students smartphone addiction status. A multilevel mixed-effects model and subgroup analysis were applied to examine the association between only-child status and smartphone addiction among middle school students. Results: During 2022 to 2023, the prevalence of smartphone addiction in the cohort of middle school students increased from 24.1% to 25.2%. Compared with only-child, non-only child were more likely to be addicted to smartphones (adjusted model: OR =1.2, 95% CI =1.1-1.4) and also scored higher on smartphone addiction (adjusted model: β =0.9, 95% CI =0.2-1.5)( P <0.05). Subgroup analysis further revealed that compared to baseline, non-only child demonstrated an increased prevalence of smartphone addiction (adjusted model: OR = 1.2 , 95% CI =1.0-1.5) and higher addiction scores (adjusted model: β =0.8, 95% CI =0.2-1.5) after one year( P <0.05). Conclusions Non-only child face higher risk of smartphone addiction. Under the current population policy, it is crucial to address smartphone addiction among middle school students who is not only child.

Objective: To explore the potential causal association between adolescent compulsive behaviour and smartphone addiction based on longitudinal data, so as to provide reference for the establishment of adolescent smartphone addiction interventions. Methods: A preliminary survey and follow-up were conducted on 8 907 middle and high school students in a district of Shenzhen in 2022 and 2023, respectively. Compulsive behaviours were measured by using the Mental Health Inventory for Middle School Students-60 Items (MMHI-60), smartphone addiction was assessed by using the Smartphone Addiction Scale-Short Version ( SAS- SV), and the associations between compulsive behaviours and smartphone addiction were analysed by using multilevel mixed-effects models and subgroup analyses. Results: Smartphone addiction detection rates among middle school students were significantly associated with genders, father s education level, mother s education level, study load subgroups, and whether or not they were single-parent families, and there were statistical differences ( χ 2=17.21-175.34, P <0.05). Students with compulsive behaviours were 2.98 times more likely to develop smartphone addiction than those without compulsive behaviours ( OR=2.98, 95%CI=2.77-3.22, P <0.05). Subgroup analysis of middle school students without smartphone addiction in the first year found that compulsive behaviours significantly predicted smartphone addiction ( OR= 1.76 , 95%CI=1.54-2.01, P <0.05). Conclusion There is a potential causal association between obsessive-compulsive behaviours and smartphone addiction in middle school students, and obsessive-compulsive behaviours in middle school students could significantly predicted the occurrence of smartphone addiction.

Objective:To explore the current situation of nurses′growth mindset ability and study its related influencing factors, so as to serve as a reference for improving nurses′ growth mindset ability.Methods:This was a cross-sectional survey, and 310 nurses from 5 tertiary hospitals in Shandong Province, Shanghai City, and Guangdong Province were selected as the survey subjects from April to June 2022 using convenience sampling method. The General Information Questionnaire, the Nurses′ Growth Mindset Assessment Scale, the Psychological Adaptability Self-Assessment Scale, the Chinese Big Five Personality Inventory Brief Version and the Team Psychological Safety Atmosphere Scale were used to investigate the growth mindset ability of nurses and its influencing factors.Results:Finally, 307 valid questionnaires were collected. There were 46 males and 261 females, aged 20-50 years old. The scores of the Nurses′ Growth Mindset Assessment Scale were (108.89 ± 29.32) points, the scores of the Psychological Adaptability Self-Assessment Questionnaire were 10.0(0.0, 20.0) points, the scores of the Chinese Big Five Personality Inventory Brief Scale were (162.37±43.82) points, and the scores of the Team Psychological Safety Atmosphere Scale were (55.84 ± 15.12) points. The highest education level ( B = 0.028, P = 0.040), professional title ( B = 0.033, P = 0.032), family economic support ( B = 0.025, P = 0.048), Chinese big five personality ( B = 0.039, P = 0.037), team psychological safety atmosphere ( B = 0.600, P<0.001) and psychological adaptability ( B = 0.313, P<0.001) had a significant effect on nurses′ growth mindset ability. Conclusions:The growth mindset ability of nurses is at the upper middle level, and the educational background, professional title, family economic support, personality characteristics, team psychological safety atmosphere and psychological adaptability of nurses are the significant influencing factors. Hospitals, social and health education systems can combine influencing factors to provide a harmonious working atmosphere for nurses, focusing on the improvement of nurses′ academic qualifications and the promotion of professional titles, cultivating nurses′ psychological adaptability, improving nurses′growth mindset ability, and improving the overall quality of the nursing service team.

OBJECTIVE To evaluate the effictiveness and safety of recombinant human endostatin combined with afatinib and teggio in the treatment of advanced lung squamous cell carcinoma. METHODS A total of 25 patients with driver-negative advanced lung squamous cell carcinoma were included in this single-arm prospective study, and the enrolled patients were treated with recombinant human endostatin combined with afatinib and teggio as scheduled. Progression-free survival(PFS), overall survival(OS), disease control rate(DCR), objective response rate(ORR), and adverse reactions(AR) were observed and analyzed. RESULTS The 25 enrolled patients received at least 2 cycles of second-line treatment, and were followed up as of March 31, 2023. Among them, 4 patients had partial remission, 17 patients had stable disease, and 4 patients experienced progressive disease. The ORR confirmed by the researchers was 16%(95%CI, 4.5%−36.1%), DCR was 84%(95%CI, 63.9%−95.5%), and median PFS was 5.3 months(95%CI, 3.5−6.9 months). The median OS had not yet been achieved. The entire group of patients had good treatment tolerance, and the most common level Ⅲ or Ⅳ adverse events related to treatment were leukopenia(20%) and rash(12%), with no reported treatment-related deaths. CONCLUSION Recombinant human endostatin combined with afatinib and teggio in the second line treatment of advanced lung squamous cell carcinoma can prolong the progression free survival period of patients and is relatively safe, which is worth further exploration and promotion.

Objective To investigate the prognostic value of N6-methyladenosine (m⁶A) modification related genes and immune infiltration in colorectal cancer (CRC) and construct a risk model for predicting outcome of patients. Methods The transcriptome data and matched clinical information of CRC patients were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. The prognostic value of m⁶A modification related genes and immune infiltration were investigated using the consensus clustering method and single sample gene set enrichment analysis. The weighted gene co-expression network analysis (WGCNA) was used to identify prognostic genes related with m⁶A modification and immune infiltration. Lasso regression analysis was used to construct a multi-gene risk model. The expression differences of prognostic genes identified were further validated through expression differential analysis in the Gene Expression Profiling Interactive Analysis (GEPIA) database. Finally, the Kaplan-Meier was used to evaluate the predicting performance of the model in different subgroups and external validation cohorts. Results Both the m⁶A modification and immune infiltration phenotype could effectively stratify the prognosis of CRC patients from the TCGA cohort. Most m⁶A modification related genes were significantly correlated with immune infiltration in CRC tissues. Four following prognostic genes were selected using the WGCNA method combined with Lasso regression analysis: intelectin-1, lymphocyte antigen 6 complex locus G6D, atonal homolog 1 and matrix metalloproteinase 28. In colorectal cancer tissues, the expression levels of lymphocyte antigen 6 complex locus G6D and matrix metalloproteinase 28 exhibited significant differences compared to adjacent non-cancerous tissues (P < 0.05). The risk model constructed based on the above prognostic genes can effectively identify the potential risk population with poor prognosis in different clinical subgroups of the TCGA cohort and the GEO validated cohort. Conclusion A risk model based on m⁶A modification and immune infiltration could effectively predict the clinical outcome of CRC patients, and related prognostic genes have potential to be developed as molecular targets for CRC therapy.

Itaconate is a pivotal intermediate metabolite in the tricarboxylic acid (TCA) cycle of immune cells. It is produced by decarboxylation of cis-aconitic acid under the catalysis of aconitate decarboxylase 1 (ACOD1), which is encoded by the immune response gene 1 (IRG1). Itaconate has become a focal point of research on immunometabolism. Studies have demonstrated that itaconate plays a crucial role in diseases by regulating inflammation, remodeling cell metabolism, and participating in epigenetic regulation. This paper reviewed the research progress in itaconnate from its chemical structure, regulatory effects on different diseases, and mechanisms, proposes the future research directions, aiming to provide a theoretical basis for the development of itaconate-related drugs.
Humans ; Succinates/metabolism* ; Carboxy-Lyases/genetics* ; Inflammation/metabolism* ; Citric Acid Cycle ; Animals ; Epigenesis, Genetic ; Neoplasms/immunology*

Ten-eleven translocation 1 (TET1) protein is an alpha-ketoglutaric acid (α-KG) and Fe²⁺-dependent dioxygenase. It plays a role in the active demethylation of DNA by hydroxylation of 5-methyl-cytosine (5-mC) to 5-hydroxymethyl-cytosine (5-hmC). Ten-eleven translocation 1 (TET1) protein is involved in maintaining genome methylation homeostasis and epigenetic regulation. Abnormally expressed TET1 and 5-mC oxidative derivatives have become potential markers in various biological and pathological processes and a research focus in the fields of embryonic development and malignant tumors. This paper introduces the structure and demethylation mechanism of TET1, reviews the research status of epigenetic regulation by TET1 in embryonic development, immune responses, stem cell regulation, cancer progression, and nervous system development, and briefs the upstream regulatory mechanism of TET1, hoping to provide new inspirations for further research in related fields.
Proto-Oncogene Proteins/genetics* ; Epigenesis, Genetic ; Humans ; DNA-Binding Proteins/metabolism* ; DNA Methylation ; Mixed Function Oxygenases/metabolism* ; 5-Methylcytosine/analogs & derivatives* ; Animals ; Embryonic Development/genetics* ; Neoplasms/genetics* ; Dioxygenases/metabolism*

Evaluating the consistency of herb injectable formulations could improve their product quality and clinical safety, particularly concerning the composition and content levels of trace ingredients. Panax notoginseng Saponins Injection (PNSI), widely used in China for treating acute cardiovascular diseases, contains low-abundance (10%-25%) and trace saponins in addition to its five main constituents (notoginsenoside R₁, ginsenoside Rg₁, ginsenoside Re, ginsenoside Rb₁, and ginsenoside Rd). This study aimed to establish a robust analytical method and assess the variability in trace saponin levels within PNSI from different vendors and formulation types. To achieve this, a liquid chromatography-triple quadrupole mass spectrometry (LC-MS/MS) method employing multiple ions monitoring (MIM) was developed. A "post-column valve switching" strategy was implemented to eliminate highly abundant peaks (NR₁, Rg₁, and Re) at 26 min. A total of 51 saponins in PNSI were quantified or relatively quantified using 18 saponin standards, with digoxin as the internal standard. This study evaluated 119 batches of PNSI from seven vendors, revealing significant variability in trace saponin levels among different vendors and formulation types. These findings highlight the importance of consistent content in low-abundance and trace saponins to ensure product control and clinical safety. Standardization of these ingredients is crucial for maintaining the quality and effectiveness of PNSI in treating acute cardiovascular diseases.
Ginsenosides ; Saponins ; Chemometrics ; Panax notoginseng ; Cardiovascular Diseases ; Chromatography, Liquid ; Tandem Mass Spectrometry

Objective:To analyze the viral genome sequence of novel coronavirus infected persons in Baotou City, understand the mutation characteristics of novel coronavirus genome in the process of transmission among cases, and explore the transmission rule of novel coronavirus in the clustered populations.Methods:Nine throat swabs samples (No. 1 - 7, No. 9, and No. 10), two sputum samples (No. 8, No. 11, and No. 11 sample was from No. 10 case), and one surface smear sample (No.12, and No. 12 sample was from No. 10 case) were collected from 10 confirmed cases of novel coronavirus infection in Baotou City from January 25 to February 21, 2020. Samples 1 and 3 were from single cases, and the rest were from clustered cases. The virus genome was sequenced by metagenomic next-generation sequencing (mNGS), and single nucleotide polymorphism (SNP) mutation sites were screened by comparing with NC_045512, a reference strain of novel coronavirus. Combined with relevant epidemiological information, gene mutation, virus typing, and evolutionary traceability analysis were carried out.Results:The results of viral genome mNGS showed that 76 SNP mutation sites were detected in 12 samples compared with the reference strain NC_045512, including 3 (3.95%) transitions and 73 (96.05%) reversals. There were 19 (25.00%) synonymous mutations and 57 (75.00%) non-synonymous mutations. The analysis of nucleotide and amino acid variation sites showed that mutations were found at five sites (T2821C, C6548T, T16464C, G16858A and T251C) in all the clustered cases (cases 2, 4 - 10). In the single cases, sample 1 had mutations at C9245T and A15340T, and sample 3 had mutation at C13T. The virus typing analysis showed that the samples 1 and 3 belonged to the L type of novel coronavirus, while the rest belonged to the S type of novel coronavirus. The results of genomic evolutionary relationship analysis showed that all the samples could be divided into two branches. The branches of sample 1 and 3 belonged to single cases, and the rest belonged to family clustered cases.Conclusion:The genomic characteristics of the clustered cases of novel coronavirus infection in Baotou City are basically consistent with the epidemiological investigation results, and the transmission of the virus is mainly related to close contact and family gathering.