Objective: To explore the association between the HLA antibody positivity rate in female blood donors and pregnancy history, number of pregnancies, interval from the last pregnancy to blood donation, and age, to identify associated variables using a univariate generalized additive model (GAM), and to further analyze the predictive role of characteristic variables for HLA antibody positivity using a random forest model. Methods: HLA antibody detection was performed on 391 female blood donors using the Luminex immunomagnetic bead method. The correlation between pregnancy-related factors and HLA antibodies was analyzed using the Chi-square test. Based on R software, a univariate GAM was first constructed to analyze the association types between characteristic variables and the HLA antibody positivity rate, followed by the construction of a random forest model to evaluate the predictive value of the variables. Results: Among the 391 female blood donors without a transfusion history, the overall HLA antibody positivity rate was 26.34%. The positivity rate in donors with a pregnancy history was significantly higher than that in those without (30.09% vs 9.72%, P<0.05), and HLA antibody positivity rate increased linearly with the number of pregnancies (P<0.05). In the univariate GAM, age and number of deliveries exhibited a non-linear association with the HLA antibody positivity rate (the positivity rate increased sharply between 25-35 years of age and stabilized after 3 deliveries). Besides, the interval from the last pregnancy to blood donation showed a linear association with the HLA antibody positivity rate, and the positivity rate decreased as the interval prolonged (P<0.05). In the random forest model, age (mean decrease gini=29.26) and interval from the last pregnancy to blood donation (mean decrease gini=22.02) were core predictive variables: age was more conducive to identifying positive samples, while the interval from the last pregnancy to blood donation was more helpful for excluding negative samples. The number of deliveries (mean decrease accuracy=16.98) made a significant contribution to predicting positive samples, whereas the number of abortions had no impact. The model had an AUC of 0.583 (95% CI: 0.593 8-0.770 2), indicating a certain predictive value. Conclusion: The associated variables identified by the univariate GAM model, including age, interval from the last pregnancy to blood donation, and number of deliveries, provide a basis for key variables in the random forest model. All three variables have predictive value for HLA antibody positivity, which can provide evidence-based support for personalized transfusion management and stratified screening of female blood donors in this region.

The Split-Cre system consists of two inactive polypeptides: NCre and CCre, which can be recombined into an active full-length Cre under certain conditions. This system is typically used with LoxP. To develop an efficient Split-Cre system, this study used Rma intein from Rhodothermus marinus to split Cre and screened out the split site S102 which could efficiently mediate the recombination of Cre in the "Traffic Light" reporter cell line. Moreover, the S102 Split-Cre system was delivered to mice by dual-adeno-associated virus (AAV), and it was demonstrated that the efficiency of the Rma intein-mediated S102 Split-Cre system was comparable to the full-length Cre in mice. This system lays a foundation for both basic and applied research on Split-Cre.
Inteins/genetics* ; Animals ; Integrases/biosynthesis* ; Mice ; Dependovirus/metabolism* ; Bacterial Proteins/genetics* ; Recombination, Genetic ; Humans

ObjectiveTo analyze the evolutionary characteristics and genetic variations of the HA (hemagglutinin) and NA (neuraminidase) genes of influenza A(H1N1) viruses in Shanghai during 2024, to investigate their transmission patterns, and to evaluate their potential impact on vaccine effectiveness. MethodsFrom January to October 2024, throat swab specimens were collected from influenza like illness (ILI) patients at 4 hospitals in Shanghai. Real-time fluorescence ploymerase chain reaction (RT-PCR) was used for virus detection and isolation of H1N1 influenza viruses. Forty influenza A(H1N1) virus strains were sequenced using Illumina NovaSeq 6000 platform, followed by phylogenetic analyses, genetic distance analysis, and amino acid variation analyses of HA and NA genes. ResultsPhylogenetic tree of the HA and NA genes revealed that the 40 influenza A(H1N1) virus strains circulating in Shanghai in 2024 exhibited no significant geographic clustering, with a broad origin of strains and complex transmission chains. Genetic distance analyses demonstrated that the average intra-group genetic distances of HA and NA genes among the Shanghai strains were 0.005 1±0.000 6 and 0.004 6±0.000 6, respectively, which were comparable to or higher than those observed in global surveillance strains. Both HA and NA genes displayed frequent mutations. Compared to the 2023‒2024 and 2024‒2025 Northern Hemisphere A(H1N1) vaccine strains (WHO-recommended), the HA proteins of 40 Shanghai strains exhibited amino acid substitutions at positions 120, 137, 142, 169, 216, 223, 260, 277, 356 and 451, with critical mutations at positions 137 and 142 located within the Ca2 antigenic determinant. Furthermore, mutations in the NA protein were observed at positions 13, 50, 200, 257, 264, 339 and 382. ConclusionThe genetic background of the 2024 Shanghai influenza A(H1N1) virus strains is complex and diverse, and antigenic variation may affect vaccine effectiveness. Therefore, it is recommended to enhance genomic surveillance of influenza viruses, evaluate vaccine suitability, and implement more targeted prevention and control strategies against imported influenza viruses.

This study was aimed at identifying the pathogenic bacteria responsible for the death of a young tiger at the Fujian Meihua Mountain South China Tiger Breeding Research Institute.Tissue samples from the lungs,liver,and intestines of the deceased tiger were collected,and the bacteria were cultured inasterile environment.The bacterial strains were characterized according to their morphological and molecular biological properties,including assessment of virulence genes and antibiotic resistance genes,mouse lethality tests,and antibiotic susceptibility evaluations.A predominant bacterial strain isolated from the liver of the deceased tiger was identified as enterotoxigenic Escherichia coli(ETEC)strain Tiger22513F.Phylogenetic analysis of the 16S rRNA gene revealed that the Tiger22513F strain exhibited close genetic similarity to the reference strain ETEC(MF919609.1),with 99.9%nucleotide similarity,and resided on the same evolutionary branch.The Tiger22513F strain contained 11 antibiotic resistance genes(tetA,sul1,sul3,cmlA,floR,blaTEM,blaSHV,blaCMY-2,qnrA,qnrS,and qnrD)along with five virulence genes(VT1,fyuA,tsh,iucD,and ST).Mouse lethality tests indicated significant pathogenicity toward mice,affecting primarily the lungs,liver,and intestines.Antibiotic susceptibility testing demonstrated that this strain exhibited resistance to various classes of beta-lactam antibiotics,as well as quinolones and aminoglycosides.This investigation successfully isolated a multi-drug resistant enterotoxigenic Escherichia coli strain with pronounced pathogenicity from the liver of a deceased tiger;thus providing valuable scientific insights for clinical diagnosis,as well as prevention and control measures,against ETEC infections in South China tigers.

Objective:To explore the correlative factors for insomnia severity in chronic insomnia patients using MemTrax memory test.Methods:Two hundred and twenty-two chronic insomnia patients (insomnia≥3 days per week with a duration≥3 months) recruited from Center for Preventive Treatment of Diseases, Guangdong Provincial Hospital of Chinese Medicine or through in-hospital advertisements from April 2024 to September 2024 were chosen. Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep quality over the last month; according to PSQI score, these patients were divided into mild insomnia group (scores of 7-10), moderate insomnia group (scores of 11-15) and severe insomnia group (scores of 16-21). MemTrax memory test was used to record the picture recognition accuracy and picture recognition reaction time, and MemTrax comprehensive index (MTx-Cp) was calculated; Patients' Health Questionnaire (PHQ-9), and Generalized Anxiety Disorder-7 scale(GAD-7) were used to evaluate the depression and anxiety status of these patients in recent 2 weeks. The clinical data, MemTrax test results, PHQ-9 and GAD-7 scores of patients with different degrees of chronic insomnia were compared. Spearman rank correlation analysis was used to investigate the correlation between insomnia severity and clinical data such as cognitive memory function in chronic insomnia patients.Results:Among the 220 chronic insomnia patients, 54 had mild insomnia, 111 had moderate insomnia, and 55 had severe insomnia. Severe insomnia patients had significantly higher percentages of those>50 years old and those using hypnotics compared with mild insomnia patients and moderate insomnia patients ( P<0.05). Compared with the mild insomnia patients and moderate insomnia patients, the severe insomnia patients exhibited significantly lower picture recognition accuracy (90%[86%, 94%], 88%[82%, 94%], 84%[78%, 92%]), significantly lower MTx-Cp (88.55±18.67, 84.41±20.93, 76.69±17.43), and significantly higher PHQ-9 score (9[6, 11], 9[6, 15], 12[8, 16], P<0.05). Moreover, severe insomnia patients had significantly longer picture recognition reaction time and higher GAD-7 score than mild insomnia patients (1.11[1.03, 1.24] s vs. 1.04[0.90, 1.15] s; 7[5, 13] vs. 6[3, 9], P<0.05). Spearman rank correlation analysis showed that insomnia severity in chronic insomnia patients was positively correlated with age, PHQ-9 score, GAD-7 score, and picture recognition reaction time, and negatively correlated with picture recognition accuracy and MTx-Cp ( P<0.05). Conclusion:Insomnia severity in patients with chronic insomnia is correlated with age, cognitive memory function, depression and anxiety.

In order to fully consider the physiological characteristics and movement mechanism of the human body under the premise of ensuring the function and practicality of the product,the human-fabric contact finite element model based on biomechanical feedback plays an important role in the design of'people-oriented'health protection products.This review focuses on the design of protective products made of flexible materials,and discusses the application status and development trend of human finite element model in the design of protective products.The construction process of finite element models of different parts of the human body in recent years is summarized from the perspective of human biomechanics.Secondly,from the contact models established between the human head,torso,upper limbs and lower limbs and protective devices,the application status and challenges of finite element method in the design of health protective products are sorted out.Finally,the problems existing in the use of finite element method in such researches are discussed.It is pointed out that in the context of pursuing accuracy,real-time and realism,finite element contact models with the advantages of high efficiency,precision and reusability still have a broad application prospect.

The aim of this study is to identify the cause of death of a South China tiger cub at the Meihuashan breeding institute of Fujian Province.Pathogenic bacteria were isolated and cultured from liver,spleen,lung and other tissue samples of the dead South China tiger aseptically.The iso-lated bacteria were identified through morphological observation,biochemical characterization,sequence analysis of housekeeping gene gyrB,virulence gene detection,animal pathogenicity test and drug sensitivity test.A pathogenic Aeromonas hydrophila strain,designated FJ/Tiger-201809 was successfully isolated from the trachea of dead South China tiger.The nucleotide sequence ho-mology between the isolate and 11 strains of Aeromonas gyrB ranged from 91.2％to 99.1％,with the highest homology of 99.1％observed with Aeromonas hydrophila(AF208251.1).Genetic evo-lution analysis showed that the isolated strain FJ/Tiger-201809 was in the same evolutionary branch as other reference strains of Aeromonas hydrophila and was closely related.The pathoge-nicity test in mice showed artificial infection of mice with the strain resulted in varying degrees of lesions in several organs of the mice,and the median lethal dose(LD50)was 1 × 107.8 CFU/mL.Virulence gene test results showed that the isolate FJ/Tiger-201809 carried two virulence genes,aer and act.The results of drug sensitivity test showed that FJ/Tiger-201809 was highly sensitive to enrofloxacin and ampicillin among 18 commonly used antibiotics,relatively sensitive to penicil-lin G and doxycycline,and resistant to the other 14 antibiotics.In conclusion,this study isolated and identified a strain of Aeromonas hydrophila from a dead South China tiger with multiple drug resistance and strong pathogenicity,which provided an important reference for the prevention and control of bacterial diseases in South China tiger.

Objective To investigate the prevalence of metabolic syndrome(MS)and its influencing factors among adult residents in Zhifu district of Yantai city,and to provide data support and scientific basis for relevant departments to formulate policies and measures.Methods A total of 2412 residents in Zhifu district were selected by multi-stage stratified sampling method,and their basic information,personal health status,height,weight,blood pressure,fasting blood glucose,blood lipids and other indicators were collected by questionnaire survey,physical measurement and laboratory examination.The screening of MS was based on the diagnostic criteria of MS recommended by Chinese Diabetes Society(CDS).Results Among the adult residents in Zhifu district,the number of MS patients was 522,with a crude prevalence rate of 21.6%.The prevalence of MS in men was 26.9%higher than that in women(16.9%)(χ2=35.939,P<0.001).With the increase of age,the prevalence rate of MS showed an overall upward trend(linear trend test χ2=150.557,P<0.001).With the increase of education level,the prevalence rate of MS showed an overall downward trend(linear trend test χ2=81.670,P<0.001).The results of multivariate logistic regression analysis further showed that male and age increase were high risk factors for MS;higher education level,unmarried,engaged in static occupation,and increased activity were protective factors for MS.Conclusion The prevalence rate of MS in adult residents in Zhifu district of Yantai is basically equal to the national average level,suggesting that the government and health service institutions at all levels should take health exercise,smoking cessation and alcohol restriction as the entry point for health education and early diagnosis and treatment;meanwhile,targeted interventions should be carried out according to different characteristics of the population.

Objective To provide a scientific basis for cancer prevention and control in Zhifu district and Yantai city by comprehensively describing and analyzing the epidemiological characteristics and disease burden of malignant tumors in Zhifu district,and reduce the disease burden.Methods The data of cancer incidence and mortality collected by the Center for Disease Control and Prevention in Zhifu district from 2010 to 2020 were used to evaluate the incidence and mortality of cancer.The excel template and DismodII software released by WHO were used to calculate the disease burden indexes such as disability-adjusted life year(DALY),years of life lost(YLL),and DALY rate,and the Joinpoint regression model was used to analyze the trend of disease burden,and annual percent change and average annual percent change were calculated.Results The total DALY of malignant tumors in Zhifu district from 2010 to 2020 was 166192.75 person-years,with a DALY rate of 199.02‰.The disease burden of malignant tumors mainly came from YLL,accounting for 74.70%of DALY.Conclusion Zhifu malignant tumor disease burden is on the rise,the relevant departments still need to improve the registration of malignant tumors,improve the knowledge of the population through the way of public welfare propaganda,increase the screening of common malignant tumors,promote the progress of early diagnosis and treatment of cancer,reduce the disease burden brought by early death.To improve the tertiary prevention of malignant tumors.

As one of the primary causes of death in burn patients, sepsis presents challenges in early warning and diagnosis, mainly due to its nonspecific clinical manifestations and the limitations of traditional biomarker detection efficiency. As an important carrier of intercellular information transfer, exosomes and their contents (RNAs, proteins, and metabolites) can reflect the pathophysiological status of the body, thus attracting significant attention in the field of disease diagnosis. This review aims to summarize the research advances of exosomal multi-omics (transcriptomics, proteomics, metabolomics, etc.) analysis technologies in the warning and diagnosis of burn sepsis, and explore their application potential in revealing disease mechanisms, screening specific early biomarkers, and integrating emerging bioinformatics technologies. The goal is to provide new strategies and directions for achieving the precision diagnosis and treatment of burn sepsis.