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 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.

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

Chronic chloropropene poisoning is a disease mainly caused by peripheral nerve damage due to close contact with chloropropene in industrial production, its clinical manifestations include varying degrees of sensory, motor, or tendon reflex disorders in the distal limbs, and neuromyography can show neurogenic damage. This article analyzed and summarized the clinical characteristics, diagnosis and treatment methods of three patients with occupational chronic chloropropene poisoning, in order to enhance the clinical understanding of occupational chronic chloropropene poisoning and provide reference for clinical diagnosis and treatment.

Objectives:Aimed to establish a rapid, high-throughput, automated method for determining the creatine kinase (CK-MM) isoform levels.Methods:Magnetic beads labeled with anti-CK-MM antibodies were combined with alkaline phosphatase-based chemiluminescence detection. Clinical and diagnostic performance validation of the assay was determined by analysis of 998 and 75 dried blood spot samples from healthy newborns and Duchenne muscular dystrophy (DMD) patients, respectively, and the CK activity was also determined. The blank and detection limits, cross-reactivity, recovery rate of the method, intra-and inter-assay coefficient, and the hook effect were evaluated.Results:Blank and detection limits were 17.4 and 39.3 ng/ml, respectively. Cross-reactivity toward CK-MB and CK-BB isoforms was 0.2% and 0.02%, respectively. Intra-and inter-assay coefficients of variation were<1%. Mean recovery was 100.32%, with no hook effect in CK-MM levels<50 000 ng/ml. Overall, the mean CK-MM concentrations in newborns and DMD patients were (27.05±0.97) and (3 720±300.5) ng/ml, respectively. A significant positive correlation between the dried blood spot detected CK-MM levels and total CK enzyme activity, evaluated in corresponding serum samples from the 75 DMD patients, was observed ( r=0.91, P<0.001), ?which is in good agreement with the clinical. Conclusions:An assay for rapid quantitative determination of CK-MM that meets clinical newborn screening requirements was established. It had a good value for application.

Objective:To investigate the effectiveness and feasibility of whole exome sequencing (WES), as a molecular diagnosis technique, for adult patients with genetic diseases.Methods:The present retrospective analysis included 445 adult patients (ages 18-80 years) with suspected genetic diseases who underwent whole exome sequencing (WES) from August 2021 to December 2022. The pathogenicity classification of each variant was assessed in accordance with the recommendations developed by the American Society of Medical Genetics and Genomics.Results:The overall positive rate of WES among adult patients with suspected genetic diseases was 28.08% (125/445). The highest positive rate was observed in the age group of 41-50 years (34.33%, 23/67). Among the diagnosed genetic diseases, those affecting the cardiovascular system (63.16%, 84/133), nervous system (18.05%, 24/133), and endocrine system (13.53%, 18/133) ranked as the top three. The most common genetic diseases identified through WES in adult patients were hypertrophic cardiomyopathy (18.80%, 25/133), dilated cardiomyopathy (16.54%, 22/133), Marfan syndrome (15.04%, 20/133), epilepsy (9.02%, 12/133), and familial hypercholesterolemia (4.51%, 6/133). The main causative genes identified included FBN1 (14.29%, 19/133), MYBPC3 (9.02%, 12/133), MYH7 (9.02%, 12/133), LDLR (3.76%, 5/133), TTN (3.76%, 5/133), and TNNI3 (3.01%, 4/133).Conclusion:Applying the WES technique in clinical practice can improve the diagnostic rate of adult genetic diseases, especially in adult patients with suspected genetic conditions involving the cardiovascular system, nervous system, and endocrine system.

An improved U-shaped multi-lesion segmentation model,namely dense dilated attention pyramid UNet(DDAPNet),is proposed to overcome the difficulty in learning multi-scale features and address the issue of blurry boundaries in diabetic retinopathy(DR)segmentation task.DR images are treated with Patch processing to enhance the model's ability to capture local lesion features.After backbone feature extraction,a redesigned dense dilated attention pyramid module is introduced to expand the receptive field and address the issue of blurry lesion boundaries;and simultaneously,pyramid split attention module is used for feature enhancement;and then,the features output by the two modules are fused.Additionally,an improved residual attention module is embedded within skip connections to reduce interference from shallow redundant information.The joint validation on DDR dataset and real dataset from a specific hospital shows that compared with the original model,DDAPNet model improves the Dice similarity coefficient for segmentations of microaneurysms,hemorrhages,soft exudates and hard exudates by 4.31%,2.52%,3.39%and 4.29%,respectively,and increases mean intersection over union by 1.80%,2.24%,4.28%and 1.98%,respectively.The proposed model makes the segmentation of lesion edges smoother and more continuous,notably enhancing the segmentation performance for conditions like soft exudates in retinal lesions.

Purpose To elucidate the clinicopathological characteristics of primary malignant giant cell tumor of bone(PMGCTB)with mainly osteosarcoma-like morphology.Meth-ods Clinicopathologic features of 7 cases of PMGCTB were ret-rospectively analyzed.Results Among 7 patients with PMGCTB,there were 4 females and 3 males,aged between 9 and 66 years(mean age 39.5 years,median age 35 years).The distal femur emerged as the most frequent site to be involved(3/6).The main clinical manifestations included pain and swelling at the original site of the tumor.Radiological findings indicated osteolytic lesions,often combined with sclerotic areas;most ca-ses showed cortical bone destruction and soft tissue masses(5/7).Histologically,the majority of tumors exhibited typical mor-phological features of osteosarcoma with a few or without osteo-clast-like multinucleated giant cells.Positive immunoreaction with H3F3A G34W was confirmed in 6 cases and with H3F3A G34V in 1 case.SATB2 and p63 were positive in all cases,p53 was proved to be wild type,the Ki67 proliferation index ranged approximately from 10％to 50％.H3F3A p.G34W mutation was detected in 6 cases and only 1 case harboring H3F3A p.G34V mutation.Conclusion PMGCTB is exceedingly rare and difficult for accurate diagnosis,especially for those with atypical morphological features.A comprehensive analysis involving ra-diological,immunophenotypic,and molecular detection is neces-sary to rule out other high-grade sarcomas.