Objective: To analyze the epidemiological characteristics of category C intestinal infectious diseases among children and adolescents in Shenzhen from 2012 to 2024 and the association with meteorological factors, so as to provide a scientific basis for the targeted prevention and control of infectious diseases for children and adolescents. Methods: Using data from the "Infectious Disease Reporting Information Management System" of the "China Disease Prevention and Control Information System" covering the period from January 1, 2012 to December 31, 2024, the study analyzed clinical and confirmed cases of hand, foot, and mouth disease, other infectious diarrhea, and acute hemorrhagic conjunctivitis among individuals aged 6-19 years old to describe demographic and temporal characteristics. It used Joinpoint regression to calculate the average annual percent change (AAPC) and annual percent change (APC) to analyze incidence trends, and Spearman s correlation was combined to generalize linear models so as to assess the association between category C intestinal infectious diseases and meteorological factors. Results: From 2012 to 2024, a cumulative total of 61 019 cases of hand, foot, and mouth disease among children and adolescents, 58 498 cases of other infectious diarrhea, and 6 377 cases of acute hemorrhagic conjunctivitis were reported. The AAPC in the incidence rates of these three diseases was 19.19%, 31.03% and 31.48 %, respectively(all P <0.05). Notably, the incidence of hand, foot, and mouth disease increased significantly after 2022 (APC= 133.66 %, P <0.01). The temporal distribution showed that hand,foot,and mouth disease was most prevalent in May,June and July (seasonal index of 2.39,3.64,1.97), other infectious diarrhea was most prevalent in February,March and December (seasonal index of 1.22,1.25,1.47), and acute hemorrhagic conjunctivitis peaked in September and October (seasonal index of 4.22,2.16). Monthly average temperature could increase the risk of hand,foot,and mouth disease( β = 0.18 ,95% CI =0.11-0.25); as monthly average wind speed increased, the incidence of other infectious diarrhea ( β =-0.86, 95% CI = -1.50 to -0.22) and acute hemorrhagic conjunctivitis ( β =-1.32, 95% CI =-2.60 to -0.05) both decreased (all P < 0.05 ). Conclusions Among children and adolescents in Shenzhen, category C intestinal infectious diseases remain prevalent throughout the year；the number of reported hand, foot, and mouth disease cases has shown an upward trend in recent years.Temperature and wind speed significantly affect the number of reported cases of three types with category C intestinal infectious diseases.

Objective: To evaluate the methodological quality and reporting quality of clinical practice guidelines or expert consensus on blood transfusion and blood use (BTBU) in China (hereinafter referred to as "guidelines/consensus"), providing reference for the development and updating of future BTBU guidelines/consensus. Methods: A systematic search was conducted in Chinese databases such as China National Knowledge Infrastructure (CNKI), Wanfang Data, VIP Data-base, relevant guideline release platforms, and professional association websites. BTBU-related guidelines/consensus published between January 2006 and December 2025 were included. According to the inclusion and exclusion criteria, after completing literature screening and data extraction, three evaluators independently assessed the quality of the included literature using the Scientificity, Transparency, and Applicability of Guidelines Rating Tool (STAR), the Appraisal of Guidelines for Research and Evaluation Ⅱ (AGREE Ⅱ), and the International Practice Guideline Reporting Standards (RIGHT). Results: A total of 29 documents were included, including 5 guidelines, 22 consensus statements, and 2 protocols. The results of the STAR assessment showed that the total score was (21.7±8.8)%. The domain score ratios for registration, research protocol, funding, working group, conflict of interest, clinical question, evidence, consensus method, recommendation, accessibility and other domains were (2.2±12.1)%, 0, (36.7±25.1)%, (18.3±7.6)%, (19.2±15.3)%, (16.6±23.1)%, (15.1±6.3)%, (9.6±21.2)%, (54.3±18.4)%, (31.7±10.4)% and (10.3±31.0)%, respectively. For the AGREE Ⅱ assessment, the methodological quality of 26 articles was rated Grade B and 3 articles Grade C. The results of the RIGHT assessment indicated that the overall reporting rate of all guidelines/consensuses was (65.3±4.0)%. Conclusion: The methodological and reporting quality of current expert guidelines/consensus on BTBU in China still need improvement, and guidelines and consensus should be strictly formulated and standardized according to the standards of STAR, AGREE II and RIGHT.

ObjectiveTo investigate the effects of retention enema with Huangling Jiedu Xiezhuo granules（HJXG） on Nod-like receptor protein 3（NLRP3）， intestinal flora， and short-term prognosis in patients with gout. MethodsA total of 60 patients with gout admitted to the hospital from January 2021 to December 2023 were selected and divided into a control group and an observation group according to the random number table method， with 30 cases in each group. The control group was treated with febuxostat， and the observation group was treated with retention enema with HJXG on the basis of the control group. After 14 days of continuous treatment， the clinical efficacy， traditional Chinese medicine （TCM） syndrome score， and visual analogue scale （VAS） pain index of the two groups were compared， and serum creatinine（SCr）， blood urea nitrogen（BUN）， uric acid（UA）， cystatin C（CysC）， β₂- microglobulin（β₂-MG）， glomerular filtration rate test（GFR）， creatinine clearance rate （Ccr）， erythrocyte sedimentation rate（ESR）， hypersensitive C-reactive protein，（hs-CRP）， interleukin 6（IL-6）， interleukin-1β（IL-1β）， interleukin-18 （IL-18）， NLRP3 inflammasome levels， and the number of intestinal flora were detected in the two groups. The prognosis of patients was followed up within 12 weeks. COX regression analysis was used to analyze the effect of short-term prognosis. ResultsAfter treatment， TCM syndrome scores and VAS pain index in both groups were reduced （P<0.05）， and TCM syndrome scores in the observation group were significantly lower than those in the control group. After treatment， ESR， hs-CRP， IL-6， NLRP3， IL-18， and IL-1β were significantly decreased in both groups （P<0.01）， and the levels of IL-6， ESR， NLRP3， and IL-18 were significantly improved in the observation group compared with the control group （P<0.05）. BUN， SCr， UA， β₂-MG， GFR indexes in both groups were significantly lower after treatment， Ccr indexes in both groups were significantly higher after treatment， and the levels of SCr， UA， CysC， and Ccr in the observation group were significantly better than those in the control group （P<0.05）. After treatment， the intestinal flora in both groups was improved， and the observation group was significantly improved compared with the control group in terms of Lactobacillus， Proteus， Bacteroides， and Escherichia coli （P<0.05）. COX regression analysis showed that retention enema with HJXG could reduce the risk of poor short-term prognosis in patients with gout compared with Western medicine alone. ConclusionThe retention enema with HJXG can improve the curative effect of patients with gout， improve the TCM syndromes， reduce inflammation， and enhance renal function， intestinal flora， and short-term prognosis.

Objective:To explore the genetic etiology for a Chinese pedigree affected with X-linked cardiac valve dysplasia (CVDPX) and chronic idiopathic intestinal pseudo-obstruction (CIIPX).Methods:A pedigree presented at the First Hospital of Lanzhou University in June 2024 for CVDPX combined with CIIPX was selected as the study subject. Whole exome sequencing (Trio-WES) was carried out, and the candidate variant was verified by Sanger sequencing. This study has been approved by the Medical Ethics Committee of the First Hospital of Lanzhou University (Ethics No. LDYYSZLLKH2024-15).Results:Both the proband and his affected younger brother were found to harbor a hemizygous c. 443A>G (p.Tyr148Cys) variant of the FLNA gene, for which their mother was heterozygous and their father was not a carrier, suggesting an X-linked recessive inheritance pattern. The variant was not recorded by the OMIM and ClinVar databases, and was determined to be likely pathogenic (PM2+ PS4+ PP2+ PP3) based on the guidelines from the American College of Medical Genetics and Genomics (ACMG). The patients had presented with typical CVDPX/CIIPX phenotype, including multiple valve dysplasia and chronic pseudo intestinal obstruction, in addition with gallbladder wall edema and thickening. Bioinformatic analysis showed that the variant site is highly conserved, and multiple algorithms had predicted its pathogenicity. Conclusion:This study confirmed the diagnosis of CVDPX/CIIPX in a Chinese pedigree, expanded the phenotype spectrum of FLNA gene variants, and provided a basis for genetic counseling and prenatal diagnosis for the pedigree.

Objective:To develop PixelSIFT-UNet, a novel semantic segmentation model that integrates deep learning with scale-invariant feature transform (SIFT) algorithm to improve the segmentation accuracy of oral mucosal lesions.Methods:This investigation utilized 838 standard clinical white light images of oral mucosal diseases acquired from January 2020 to December 2022 at the Stomatology Hospital Zhejiang University School of Medicine. Randomization was achieved through Python′s random.seed function implementation. The random sample function was subsequently applied for sampling distribution. The dataset was stratified into three subsets with a 6∶2∶2 ratio: training ( n=506), validation ( n=166), and testing ( n=166). Lesion boundaries were annotated using Labelme software, and a PixelSIFT-UNet-based deep learning model was developed with VGG-16 and ResNet-50 backbone networks. Model parameters were optimized using the validation set, and performance metrics [including Dice coefficient, mean intersection over union (mIoU), mean pixel accuracy (mPA), and Precision] were assessed on the test set. The model′s performance was benchmarked against conventional semantic segmentation frameworks (U-Net and PSPNet). Results:The developed PixelSIFT-UNet model could achieve precise segmentation of three common oral mucosal lesions: oral lichen planus, oral leukoplakia, and oral submucous fibrosis. Utilizing VGG-16 as the backbone network, the model achieved Dice coefficient, mIoU, mPA, and Precision values of 0.642, 0.699, 0.836, and 0.792, respectively. Implementation with ResNet-50 backbone network yielded metrics of 0.668, 0.733, 0.872 and 0.817, demonstrating significant improvements across all performance indicators compared to conventional U-Net model (relevant metrics: 0.662, 0.717, 0.861 and 0.809) and PSPNet model (relevant metrics: 0.671, 0.721, 0.858 and 0.813).Conclusions:The proposed PixelSIFT-UNet architecture demonstrates superior performance in oral mucosal lesion segmentation tasks, surpassing conventional semantic segmentation models and providing robust quantitative improvements in segmentation accuracy.

In the general population, obesity (high BMI) is often considered as an important risk factor for many diseases and premature death. However, in patients with a certain disease, the risk of death in people with obesity was lower than that in people with normal weight. This abnormal correlation has caused widespread discussion, and different explanations have been given by physiology and epidemiology. Based on causal inference theory, this study used directed acyclic graphs to introduce the collision bias (also called collision-stratification bias). Through example demonstrations, this study explored whether and why the abnormal correlation between obesity and higher survival rates in patients with hyperglycemia exists. Finally, it was concluded that this abnormal correlation among patients with a certain disease (e.g., hyperglycemia in the current analysis) was partly or even totally caused by collider bias.

Objective:To analyze the epidemiological characteristics and natural focus distribution of marburg virus disease (MVD), and provide evidence for the prevention and control of MVD.Methods:A systematic literature retrieval was conducted, and descriptive epidemiological method was used to analyze the temporal, spatial, and population distributions of MVD as well as its natural hosts. The case fatality rate of MVD was evaluated through Meta-analysis, and the phylogenetic analysis of viral genomes was done by using software IQ-TREE 2.3.6.Results:Marburg virus has endemic spread in Africa and can be detected in various animals such as primates and bats. The positive rate is higher in Egyptian fruit bats, and the disease epidemic areas continue to expand. The human infections occur frequently. As of December 20, 2024, a total of 18 MVD outbreaks had been reported worldwide, resulting in 722 reported cases and 548 deaths. Meta- analysis showed a case fatality rate of about 65.19% (95% CI: 48.07%-80.50%). Populations are generally susceptible, with a higher proportion of the cases in miners and medical workers. Marburg virus specific antibody can be detected in populations and animals in some countries and regions where no cases have been reported in Africa, indicating the potential of virus transmission. Conclusion:The transmission capacity of Marburg virus shows no significant changes, but the areas affected by the virus transmission expands, indicating increased risk for MVD outbreak.

Objective To develop a machine learning(ML)-based prediction model for assessing the therapeutic effects of resveratrol(RES)on the pathological damage of acute pancreatitis(AP),and to optimize RES administration strategies for AP through validation using an animal model.Methods AAn ML-based prediction model was constructed using published data.Interpretability analysis was applied to identify high-efficacy zones within the parameter space of administration dose and frequency,which was followed by rigorous screening to select the optimal dosing strategy that balanced therapeutic efficacy and experimental feasibility.A total of 32 C57BL/6 mice were randomly assigned to 4 groups(n=8 per group),including a control group(Ctrl),an AP model group induced by caerulein(CER)and referred to as CER-AP,a treatment group receiving RES via intraperitoneal injection(RES i.p.),and a treatment group receiving RES via intragastric gavage(RES i.g.).The Ctrl group received intraperitoneal injection of normal saline.The CER-AP and the treatment groups were induced with 10 intraperitoneal injections of CER at 50 μg/kg.RES was administered to the RES i.p.and RES i.g.groups according to the optimal dose and timing predicted by the ML model.Blood and tissue samples were collected 12 hours after the experiment started.Results The gradient boosting decision tree model,optimized via Hyperopt,yielded the best performance,predicting that the optimal dose and administration frequency were 19.992 mg/kg and 3.828 times,respectively.Accordingly,a regimen of 20 mg/kg RES,administered four times,was used in the animal experiments.Compared with the Ctrl group,the CER-AP group exhibited higher pancreatic pathology scores and elevated levels of serum amylase,lipase,pancreatic myeloperoxidase,and trypsin,with all differences reaching statistical significance(all P<0.05).The administration of 20 mg/kg RES via both intraperitoneal injection and intragastric gavage mitigated pancreatic inflammatory cell infiltration and necrosis,improved the overall pathology score,and reduced serum amylase,lipase,and pancreatic myeloperoxidase levels to varying degrees(all P<0.05).Conclusion A regimen of 20 mg/kg RES administered four times effectively alleviates the severity of CER-induced AP.The therapeutic benefits appear to arise from a multi-target regulatory network that simultaneously suppresses inflammatory cascades,mitigates oxidative stress,and reduces apoptosis,thereby reducing pancreatic tissue damage and systemic inflammatory responses.

Objective:To investigate the application of time series models in forecasting pre-hospital emergency ambulance trips in Handan City and develop the LPro ensemble model for improved prediction accuracy to support emergency resource allocation.Methods:Pre-hospital emergency data from Handan Emergency Medical Command Center (2019-2023) were retrospectively analyzed. From 324 799 original records, 289 949 valid records were included after cleaning. The training set (2019-2022: 215 918 records) included 35 527 records in 2019, 52 015 in 2020, 61 836 in 2021, and 66 540 in 2022. The validation set (2023) contained 74 031 records. ARIMA, linear trend seasonal, exponential smoothing, and Prophet models were fitted to the training set. The LPro ensemble model was constructed using MAPE-based weighting (linear trend seasonal model: 0.38, Prophet: 0.62). Performance metrics included MAPE, RMSE, MAE, and R 2. Results:Data showed annual growth (compound annual growth rate 23.27%) and seasonal patterns (October peaks, February troughs). Ambulance dispatches increased annually with monthly cyclical patterns. For 2023 validation predictions: ARIMA (MAPE 8.76%, RMSE 619, MAE 491, R 2 0.4563), linear trend seasonal (MAPE 9.83%, RMSE 671, MAE 545, R 2 0.3608), Prophet (MAPE 8.43%, RMSE 562, MAE 503, R 2 0.5513), exponential smoothing (MAPE 8.08%, RMSE 643, MAE 410, R 2 0.4124). LPro model showed superior performance (MAPE 7.05%, RMSE 491, MAE 393, R 2 0.6570), with 16.37% lower MAPE, 12.63% lower RMSE, 21.87% lower MAE, and 19.17% higher R 2 versus Prophet. Conclusion:The LPro ensemble model substantially enhances prediction accuracy and reliability, offering scientific support for emergency resource optimization and dispatch scheduling in Handan City.

BACKGROUND:The liver,as the main target organ for arsenic toxicity,has become the focus of studies related to the mechanism of action of arsenic toxicity.OBJECTIVE:To investigate the effects of sodium arsenite(NaAsO2)on lipid metabolism,cell proliferation,apoptosis,and expression of related regulatory factors in human normal hepatocytes.METHODS:MIHA normal human hepatocyte cell lines were exposed to 0,10,20,and 30 μmol/L NaAsO2 for 48 hours.Cell morphology changes were observed by light microscopy.Cell viability was detected by CCK-8 assay.The cell serum total cholesterol,triacylglycerol,and total bile acids were detected by single-agent COD-PAP assay,single-agent GPO-PAP assay,and enzyme microplate assay.The intracellular lipid content was detected by oil red O staining.Cell proliferation was detected by Edu-488 infiltration.Cell cycle and apoptosis were detected by PI staining and Annexin V-FITC/PI dual-labeling combined with flow cytometry.The mRNA and protein expression levels of hepatocyte nuclear factor 4 alpha,cholesterol 7α-hydroxylase,and farnesoid X receptor were detected by real-time fluorescence quantitative PCR and western blot assay,respectively.RESULTS AND CONCLUSION:(1)Compared with the control group(0 μmol/L NaAsO2),with the increase of NaAsO2 concentration:MIHA cell viability decreased gradually.The content of total cholesterol and triacylglycerol in cell supernatant increased gradually,while the contents of total bile acids decreased gradually.The content of intracellular lipid increased gradually.The proportion of cells stagnating in S phase and G2/M phase gradually increased,and the apoptosis rate gradually increased.The expression level of hepatocyte nuclear factor 4 alpha mRNA did not show significant changes,while cholesterol 7α-hydroxylase and farnesoid X receptor mRNA expression levels decreased.The protein expression levels of hepatocyte nuclear factor 4 alpha,cholesterol 7α-hydroxylase,and farnesoid X receptor decreased gradually.(2)NaAsO2 has cytotoxicity,significantly reduces MIHA cell viability,induces cell steatosis,inhibits cell proliferation,and induces cell apoptosis.NaAsO2 down-regulates hepatocyte nuclear factor 4 alpha protein expression and the transcription and expression of cholesterol 7α-hydroxylase and farnesoid X receptor,which further induces lipid metabolism disorders in hepatocytes.