Abstract Adverse childhood experiences (ACEs) exposure is a pressing and severe global public health issue. Children and adolescents exposed to multiple ACEs are highly susceptible to toxic stress and impaired physiological functioning, which significantly jeopardize their physical and mental health. Effective prevention and intervention strategies can reduce the prevalence of ACEs and mitigate their severe impacts, thereby minimizing the long term detrimental consequences on future outcomes. The review provides a comprehensive review of intervention strategies across four dimensions: individual, family, school, and public services/policy, so as to establish a theoretical foundation for implementing effective interventions for children and adolescents exposed to adverse childhood experiences.

Bacillus velezensis DJ1 exhibits broad-spectrum antagonistic activity against diverse phytopathogenic fungi, while its biocontrol mechanisms against Fusarium graminearum, the causal agent of maize stalk rot, remain poorly characterized. In this study, we integrated genomics and transcriptomics to elucidate the antifungal mechanisms of strain DJ1. The results demonstrated that DJ1 inhibited F. graminearum with the efficacy of 64.4%, while its polyketide crude extract achieved the control efficacy of 55% in pot experiments against this disease. Whole-genome sequencing revealed a single circular chromosome (3 929 792 bp, GC content of 47%) harboring 12 biosynthetic gene clusters for secondary metabolites, six of which encoded known antimicrobial compounds (macrolactin H, bacillaene, difficidin, surfactin, fengycin, and bacilysin). Transcriptomic analysis identified 243 differentially expressed genes (152 upregulated and 91 downregulated, P < 0.05), which were potentially associated with the antagonistic activity against F. graminearum. KEGG enrichment analysis highlighted activation (P < 0.05) of cysteine/methionine metabolism, pentose phosphate pathway, and polyketide biosynthesis pathways, indicating that DJ1 employed synergistic strategies involving antimicrobial compound synthesis, energy metabolism enhancement, and nutrient competition to suppress pathogens. This study provides a theoretical foundation for developing novel microbial resources and application technologies to combat phytopathogenic fungi.
Fusarium/drug effects* ; Bacillus/metabolism* ; Plant Diseases/prevention & control* ; Antifungal Agents/pharmacology* ; Genomics ; Zea mays/microbiology* ; Transcriptome ; Gene Expression Profiling ; Antibiosis ; Multigene Family ; Multiomics

Objective:To explore the feasibility and preliminary efficacy of domestic single-port robotic surgical system in the surgical treatment of thyroid cancer. Methods:Thyroid cancer patients who underwent domestic single-port robotic surgery in the Department of Head and Neck Surgery of Sichuan Cancer Hospital from June 2024 to January 2025 were prospectively included. Clinical data, oncological characteristics, and perioperative indicators were systematically collected. Results:A total of 7 patients were included, including 3 males and 4 females, with an age of （34.57±10.26） years. All procedures were successfully completed without conversion to open surgery. Operative time was（180.00±30.41） minutes. Blood loss was（5.00[15.00 ]）mL. Postoperative drainage volume was （167.86±130.95） mL. The postoperative pathological results were all thyroid papillary carcinoma. There were no system failures, no device-related complications and adverse events were observed during the operation and perioperative period. No tumor recurrence or metastasis was observed during the follow-up period. Conclusion:Preliminary data indicate that the domestic single-port robotic surgical system is safe and feasible for the surgical treatment of thyroid cancer, providing a practical basis for subsequent multi-disease, multi-center, and large-sample studies.
Humans ; Thyroid Neoplasms/surgery* ; Robotic Surgical Procedures/instrumentation* ; Male ; Female ; Adult ; Thyroidectomy/methods* ; Operative Time ; Middle Aged ; Prospective Studies

Extensive evidence has demonstrated that glucagon-like peptide-1 receptor agonists (GLP-1RAs) can ameliorate obesity. Our previous studies revealed that (Ex-4)₂-Fc, a long-acting GLP-1RA we developed, depends on the leptin pathway to treat obesity. However, the mechanisms linking (Ex-4)₂-Fc and leptin resistance remain largely unclear. To address this question, we explored the mechanism of GLP-1RAs from the perspective of the gut microbiota, as increasing evidence indicates an important link between the gut microbiota and obesity. This study aimed to explore the potential role of the gut microbiota in the treatment of GLP-1RAs. We found that (Ex-4)₂-Fc treatment reshaped obesity-induced gut microbiota disturbances and substantially increased the abundance of Akkermansia muciniphila (Am). In addition, (Ex-4)₂-Fc did not respond well in antibiotic-treated (ATB) Obese mice. Subsequent studies have shown that this defect can be overcome by gavage with Am. In addition, we found that Am enhanced (Ex-4)₂-Fc therapy by producing the metabolite inosine. Inosine regulates the macrophage adenosine A2A receptor (A2A) pathway to indirectly reduce leptin levels in adipocytes Thus, elucidating the role of metabolites in regulating the leptin pathway will provide new insights into GLP-1RAs therapy and may lead to more effective strategies for guiding the clinical use of antidiabetic agents.

Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

Objective:To explore differences in the efficacy and safety of ruxolitinib in patients with myelofibrosis by age and to identify prognostic factors by analyzing clinical features and characteristics of chromosomes and gene mutations.Methods:This study retrospectively analyzed 188 patients with myelofibrosis who received ruxolitinib in the Department of Hematology, Qilu Hospital, Shandong University from January 1, 2017, to July 1, 2024. According to age at diagnosis, the patients were divided into the middle-aged group (≤55 years), young elderly group (56-65 years), and elderly group (>65 years). Clinical features, the characteristics of chromosomes and gene mutations, and the efficacy and safety of ruxolitinib treatment were compared across the three age groups. Independent factors influencing overall survival were identified through Cox proportional risk regression analysis.Results:Before treatment, the elderly group had more underlying comorbidities, a heavier symptom burden, higher leukocyte count, higher proportion and frequency of JAK2 mutations, and lower proportion of CALR mutations. The incidence of nondriver gene mutations was significantly higher in the young elderly group. After ruxolitinib treatment, the degree of reduction in spleen size did not differ significantly among the three groups. The length of the palpable spleen below the left costal margin reduced by more than 50% from baseline in 50.9% (27/53) of the patients in the middle-aged group, 43.5% (27/62) in the young elderly group, and 45.5% (20/44) in the elderly group ( P=0.720). No significant difference was observed among the three groups in the degree of reduction in Myeloproliferative Neoplasm Symptom Assessment Form (10-item version) score ( P=0.153), with a reduction in total symptom score by more than 50% achieved by 54.0% (27/50), 60.3% (41/68), and 66.7% (34/51) of the patients from the three groups, respectively ( P=0.429). The most common hematological adverse events were anemia and thrombocytopenia, while the most common nonhematological adverse events were electrolyte disturbance, elevated transaminase activity, and pulmonary infection. Multivariate analysis indicated that in ruxolitinib-treated patients with myelofibrosis, poor overall survival was independently predicted by increased age, reduced hemoglobin, percentage of bone marrow blasts ≥ 1%, absence of JAK2 mutations, chromosomal abnormalities, ≥2 high-molecular-risk mutations, and TP53 mutations. Conclusions:Patients with myelofibrosis stratified by age exhibited heterogeneous clinical features and gene mutation profiles but similar efficacy of ruxolitinib treatment and occurrence of adverse events.

Objective To investigate the prognostic value of triglyceride-glucose index(TyG index)in non-diabetic patients with acute coronary syndrome(ACS)who underwent percutaneous coronary intervention(PCI).Methods A total of 529 non-diabetic ACS patients who had successfully underwent PCI in our hospital from January 2019 to December 2020 were selected.According to the median TyG index(8.98),the patients were divided into low TyG index group(TyG＜8.98)and high TyG index group(TyG≥8.98).All the patients were followed up for major adverse cardiovascular events(MACE).Results Overall,55(10.4％)endpoint events were documented during a 24-month follow-up.Kaplan-Meier survival curves showed that the cumulative incidence of MACE was significantly higher in patients in the high TyG group than in the low TyG group(Log Rank P=0.001).Multivariate Cox analysis showed that after adjusting other confounding factors,TyG index was an independent predictor of MACE(HR=3.50,95％CI:1.44-8.53,P＜0.01).The risk of MACE in the high TyG group was 1.12-fold increased compared with the low TyG group(95％CI:1.19-3.79,P=0.011).The subgroup analysis results were generally consistent.Conclusion TyG index is an independent predictor of MACE in non-diabetic ACS patients who underwent PCI.

Objective To explore the radiation dose of cone beam breast computed tomography(CBBCT)and the effect of breast density,length,and thickness on the radiation dose of CBBCT.Methods A retrospective analysis was conducted on 175 patients with breast cancer who underwent CBBCT,digital mammography(DM)and digital breast tomosynthesis(DBT)examinations.Breast density,length,thickness,and radiation dose of the patients were recorded.The differences in radiation dose between CBBCT and DM,as well as CBBCT and DBT were compared.Additionally,the differences in CBBCT radiation dose among different breast density,length,and thickness were compared.Results The difference in radiation dose between CBBCT and DM was statistically significant(P<0.001),while no statistically significant difference between CBBCT and DBT(P>0.05).The radiation dose of CBBCT did not show any significant variation across different breast density and thickness(P<0.05).Breast length was positively correlated with the radiation dose of CBBCT(P<0.001).Conclusion The radiation dose of CBBCT is higher than that of DM,which is approxi-mately doubled,the difference in radiation dose between CBBCT and DBT is not statistically significant.Additionally,with the increase of breast length,the radiation dose of CBBCT gradually increase.

Objective To investigate the therapeutic mechanism of Dingkun Dan(DKD)in polycystic ovary syndrome(PCOS)by examining the effects of microRNA-30d-5p on ovarian granulosa cells(GCs).Methods A PCOS rat model was established using dehydroepiandrosterone(DHEA).Normal rat GCs and PCOS rat GCs were cultured in vitro and divided into four groups:blank control group,model group,low-dose DKD group,and high-dose DKD group.After grouping,GCs viability was assessed using the methyl thiazolyl tetrazolium(MTT)assay,GCs apoptosis was analyzed by flow cytometry,and the gene expression of transforming growth factor β1(TGF-β1),Smad2,Smad3,and microRNA-30d-5p in GCs was measured by real-time polymerase chain reaction(RT-PCR),protein expression of TGF-β1,Smad2,and Smad3 in GCs was detected by Western Blot.Results Compared with the blank control group,the model group exhibited significantly decreased GCs viability,increased GCs apoptosis,upregulated mRNA and protein expression of TGF-β1,Smad2,and Smad3,and downregulated microRNA-30d-5p expression,the differences were statistically significant(P＜0.01).Compared with the model group,both low-and high-dose DKD groups showed increased GCs viability,reduced GCs apoptosis,downregulated mRNA and protein levels of TGF-β1 Smad2 and Smad3,elevated microRNA-30d-5p expression,and the differences were statistically significant(P＜0.05 or P＜0.01).Conclusion DKD promotes GCs proliferation by targeting Smad2 via microRNA-30d-5p,suggesting a potential therapeutic role in PCOS-related ovulatory dysfunction.