1.The first record of Anopheles messeae (Diptera: Culicidae) parasitized by water mites in China
Xue-ru CHEN ; Wen-zhen YAO ; Yu-hao LI ; Gui-chang LI ; Tao MENG ; Qun-ling FENG ; Xin-hui LIU ; Li-hong QIAO ; Xiang-ting WU ; Xue-feng ZHANG ; Cheng-lin LI ; Xue-cheng DONG ; Da-wei WANG ; Xiao-yan SI ; Yu-hong GUO
Acta Parasitologica et Medica Entomologica Sinica 2026;33(1):53-57
Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.
2.Prevalence and risk factors of dry eye disease in male computer professionals under different meteorological and air quality conditions
Ke* HU ; Yu* GUI ; Huanhuan KONG ; Peng CHEN ; Lijuan SUN
International Eye Science 2026;26(9):1670-1674
AIM: To investigate the prevalence of dry eye symptoms among computer professionals in different climate zones and to identify the risk factors associated with dry eye disease.METHODS: A cross-sectional study was conducted by distributing questionnaires from December 2023 to January 2024 to computer professionals in six prefecture-level cities located in three distinct climate zones. Mixed-effects logistic regression analysis was employed to explore the relationship between environmental factors and the severity of dry eye disease. Environmental factors, including meteorological parameters and air pollutant concentrations, were obtained from the National Meteorological Information Center and the China Air Quality Online Monitoring and Analysis Platform, respectively. The annual mean values of environmental parameters served as independent variables, while the participants' Ocular Surface Disease Index(OSDI)scores were used as the dependent variable in the regression analysis.RESULTS:A total of 364 male participants aged 18-50 y were enrolled in this study. Among them, 80 participants presented with dry eye symptoms, corresponding to a detection rate of 22.0%.There was a significant difference in the detection rate of dry eye symptoms across different regions(P<0.05). Mixed-effects logistic regression analysis identified the following risk factors: daily eye use time(P<0.001, OR=1.669), relative humidity(P=0.047,OR=1.237), NO2 concentration(P=0.042, OR=1.283), PM2.5 concentration(P=0.006,OR=1.485), and CO concentration(P=0.018, OR=1.388). Temperature was found to be a protective factor(P=0.003, OR=0.701).CONCLUSION: Meteorological conditions and air quality significantly influence the occurrence of dry eye symptoms in male computer professionals. Prevention and treatment strategies for dry eye diseases should be tailored to the environmental characteristics of different regions to protect the ocular surface health of this occupational group.
3.Toy gun-related ocular injuries in the United States children: an analysis of national emergency department data from 2005 to 2024
Ha-Neul YU ; Julius T OATTS ; Gui-Shuang YING
Pediatric Emergency Medicine Journal 2026;13(1):19-28
Purpose:
Toy guns are popular among children but can pose serious risks of eye injury. This study analyzed toy gun-related ocular injuries (TGOIs) in pediatric patients over 20 years using the United States national data.
Methods:
A retrospective cross-sectional analysis was performed using the U.S. National Electronic Injury Surveillance System data from 2005 through 2024. We studied cases of pediatric patients presenting to emergency departments with TGOIs. Descriptive and comparative analyses were performed, and trends were analyzed across the study period, using chi-square test and analysis of variance.
Results:
A total of 695 pediatric cases of TGOI were identified, corresponding to an estimated 16,325 national cases in the U.S. Most injuries occurred in males (77.4%) and age of 7-12 years (54.0%). Common diagnoses included corneal abrasion (33.5%) and hyphema (22.2%), with severe cases also reported such as ruptured globe (1.0%) and corneal laceration (0.3%). Injuries were most frequent during winter (32.1%). Over the study period, there were increases in mean age (from 8.9 years [2005-2009] to 9.6 years [2020-2024]), overall reported number of cases (from 47 to 341), and diagnosis of hyphema (from 8.5% to 25.2%).
Conclusions
Pediatric TGOI is increasing in frequency, with shifting demographic and clinical patterns. These findings highlight the urgent need for enhanced safety regulations and public health interventions to prevent vision-threatening trauma in children.
4.Engineered Bacteriophages for The Treatment of Multidrug-resistant Bacterial Infections
Yu-Ying CHEN ; Chun-Mei HUANG ; Jin-Zhi PAN ; De-Liang LIU ; Yang ZHOU ; Gui-Qin DAI ; Peng-Fei ZHAO ; Hong-Zhou LU ; Ming-Bin ZHENG
Progress in Biochemistry and Biophysics 2026;53(6):1581-1596
Multidrug-resistant (MDR) bacterial infections have emerged as a serious challenge of global public health crisis. The overuse and misuse of conventional antibiotics have dramatically accelerated the emergence, evolution and worldwide spread of drug-resistant bacterial strains, necessitating urgent exploration of novel antibacterial strategies. Bacteriophages serve as natural bacterial predators offering distinct advantages including high host specificity, autonomous self-replication capabilities and cost-effective large-scale production. However, wild-type phages present significant clinical limitations due to their narrow host ranges, susceptibility to rapid immune clearance and poor penetration of bacterial biofilms, which severely restrict their therapeutic applications. The convergence of synthetic biology, nanotechnology and advanced gene editing technologies has accelerated the development of engineered bacteriophage platforms, providing programmable, scalable and clinically translatable pathways to overcome these inherent biological constraints. Here, we systematically delineate four fundamental strategies for engineered bacteriophage development. Chemical modification utilizes reactive functional groups such as amino, carboxyl and thiol moieties on capsid proteins through esterification, amidation or click chemistry reactions to achieve precise drug conjugation and surface functionalization. In vivo editing encompasses ultraviolet or chemical mutagenesis for random mutation induction, homologous recombination for targeted genetic alterations, recombineering methodologies including electroporation-mediated bacteriophage recombination engineering, and CRISPR-Cas systems for precise genome editing to enable exact genetic reconstruction and host range reprogramming. In vitro synthesis leverages genome engineering platforms where intact phage genomes are transferred into yeast or host bacteria to facilitate highly efficient homologous recombination, enabling large DNA fragment assembly and cross-gene host range expansion without bacterial toxicity constraints. Directed evolution combines artificial selection through mutation library screening with rational design approaches involving chimeric receptor binding protein construction or site-specific mutagenesis, effectively balancing the discovery of unknown adaptive pathways with targeted host specificity modification. Moreover, we comprehensively discuss therapeutic applications across diverse clinical scenarios. Engineered bacteriophage effectively disrupt bacterial biofilms through sophisticated functionalized delivery platforms including nanozyme-conjugated phages, phage-liposome nanoconjugates and bio-responsive hydrogels, demonstrating significantly enhanced bactericidal efficiency compared to unmodified free phages. These bioengineered vectors attenuate bacterial virulence and resensitize pathogens to antibiotics by delivering CRISPR-Cas systems or base editors to disrupt critical virulence factors such as pili, capsule synthesis machineries and quorum sensing systems, or by inactivating antibiotic resistance determinants including beta-lactamase genes. As an intelligent nanomedicine delivery platform, engineered bacteriophage enable precise pathogen elimination an through photocatalytic reactive oxygen species generation, immunomodulatory interventions, or controlled release of antibacterial drugs. Furthermore, oral administration of engineered bacteriophage facilitates microbiota modulation, which selectively eliminate intestinal pathogens while preserve beneficial commensal microbiota, thereby restoring microbial community balance and preventing complications associated with dysbiosis. Finally, we critically analyze persistent challenges including host strain matching complexity, evolution of bacterial resistance mechanisms, pharmacokinetic optimization requirements, optimal administration route selection, large-scale production quality control standards and clinical dosing determination protocols. Through multidisciplinary integration of synthetic biology, infectious disease medicine and immunology, future translational medicine studies of bacteriophage should establish comprehensive technical platforms encompassing rapid phage screening, intelligent rational design, rigorous in vivo evaluation and standardized clinical validation processes, ultimately advancing engineered bacteriophage from laboratory innovations to clinically approved therapeutics for effectively combating MDR bacterial infections.
5.A Case of Multidisciplinary Treatment for Kimura′s Disease
Shuning GUO ; Jiaxin ZHOU ; Zhaohui LU ; Yu CHEN ; Yang GUI ; Rongrong HU ; Xiaoxiao GUO ; Yuxiang ZHI ; Fuquan ZHANG ; Yan ZHANG ; Wen ZHANG
JOURNAL OF RARE DISEASES 2026;5(3):309-317
This article reports a 14-year-old boy who presented with "a nearly 7-year history of a right upper arm mass and a more than 1-year history of cervical lymphadenopathy". His main clinical manifestations included a subcutaneous mass in the right upper arm, bilateral eyelid and submandibular masses, and multiple enlarged cervical lymph nodes, accompanied by persistent peripheral blood eosinophilia. Biopsies of the right upper arm lesion and a left submandibular lymph node showed lymphoid hyperplasia with prominent eosinophilic infiltration, vascular and fibrous tissue proliferation, and eosinophilic microabscess formation in the left submandibular lymph node, confirming the diagnosis of Kimura′s disease. The lesions regressed markedly after glucocorticoid therapy but recurred after treatment discontinuation. Because the patient and his family were concerned about long-term glucocorticoid therapy, mepolizumab was subsequently administered. Peripheral eosinophil counts normalized, whereas the local tissue lesions showed limited improvement. A multidisciplinary team comprehensively evaluated the diagnosis, the need for repeat biopsy of atypical lymph nodes on imaging, the possible association between the cardiac valve abnormalities and the underlying disease, and subsequent treatment options. The patient is currently receiving methotrexate with folic acid supplementation and remains under regular follow-up. This case indicates that the diagnosis of Kimura′s disease relies on clinical manifestations and histopathological findings. Once diagnosed, comprehensive evaluation, individualized treatment, and long-term management should be implemented.
6.Quality evaluation of Gegen Formula Granules
Dai-liang ZHANG ; Chun-xia WANG ; Lei SHI ; Yu-kang LIU ; Yong-qiang LIN ; Yu-zhuo WANG ; Jing-hua ZHANG ; Jin-xin LI ; Gui-yun CAO ; Zhao-qing MENG
Chinese Traditional Patent Medicine 2025;47(5):1421-1431
AIM To evaluate the quality of Gegen Formula Granules.METHODS Linear calibration with two reference substances(LCTRS)was adopted in the predicting of retention time with puerarin and daidzein as internal standards.UPLC characteristic chromatograms were established.The contents of 3'-hydroxy puerarin,puerarin(internal standard),3'-methoxy puerarin,puerarin 6"-O-xyloside,puerarin apioside and daidzin were determined by quantitative determination analysis multi-components by a single marker(QAMS),after which their transfer rates were calculated.RESULTS Compared with relative retention time method,LCTRS demonstrated higher positional accuracy for characteristic peaks and wider application range for columns.There were 9 characteristic peaks in the characteristic chromatograms for 14 batches of formula granules and 15 batches of standard decoctions with the similarities of more than 0.95.The contents and transfer rates of various constituents in formula granules and standard decoctions were basically consistent.CONCLUSION The chemical constituents in formula granules and their standard decoctions of Puerariae lobatae Radix display good consistency,reliable preparation process is observable in the former.
7.Survey on the current situation of breast reconstruction after breast cancer surgery in 203 hospitals
Yan WANG ; Yuanyuan GUI ; Mo LI ; Jianxin WANG ; Ailing YANG ; Jinbiao YU ; Jianghong ZHOU
Chinese Journal of Plastic Surgery 2025;41(6):599-606
Objective:To investigate the current status of breast reconstruction after breast cancer surgery in hospitals in China.Methods:This study was a cross-sectional study using convenience sampling. A self-designed survey questionnaire was used to investigate nurses of department of breast diseases in China from May to August 2023. The content of the questionnaire included four aspects: identification information, basic hospital information, the implementation situation of breast reconstruction after breast cancer surgery, and the situation of medical and nursing human resources for breast reconstruction, with a total of 39 items. Statistical analysis was performed using SPSS 26.0 software. The non-normally distributed measurement data were expressed as M( Q1, Q3), and the Mann-Whitney U test was used for comparison between groups. Numeric data were expressed as frequency and percentage, and comparisons between groups were made using the χ2-test or Fisher’s exact probability method. P<0.05 indicated that the difference was statistically significant. Results:A total of 212 public hospitals from 31 provinces, autonomous regions and municipalities participated in the survey. Two hundred and three hospitals (95.8%) returned valid data, including 155 Grade Ⅲ Level A hospitals, 19 Grade Ⅲ Level B and C hospitals, and 29 Grade Ⅱ hospitals. There were 157 general hospitals, 32 specialized cancer hospitals, and 14 other hospitals. Thirty-nine hospitals did not perform breast reconstruction surgery. A total of 164 hospitals (80.8%) had already carried out breast reconstruction surgery, among which the proportion of breast reconstruction in Grade Ⅲ Level A hospitals [90.3% (140/155)] was significantly higher than that in Grade Ⅲ Level B and C hospitals [52.6% (10/19)] and Grade Ⅱ hospitals [48.3% (14/29)] ( P<0.01). The proportion of breast reconstruction in specialized cancer hospitals [96.9% (31/32)] was significantly higher than that in general hospitals [79.0% (124/157)] and other types of hospitals [64.3% (9/14)] ( P<0.05). Among the 164 hospitals, 310 (150, 637.5) patients underwent breast cancer surgery and 30 (10, 100) patients underwent breast reconstruction in 2022. The proportion of patients undergoing breast reconstruction surgery among breast cancer surgery patients was 13.3% (4.0%, 20.0%). The number of patients receiving immediate breast reconstruction was 11 (2.5, 46.5) cases, and the number of those receiving delayed breast reconstruction was 5 (0, 18.5) cases. Among 203 hospitals, the median proportions of breast oncoplastic surgeons and specialized nurses among healthcare providers in breast surgery departments were 28.6% (2/7) and 75.0% (12/16), respectively. In comparison of the 164 hospitals offering breast reconstruction surgery and 39 hospitals not, the median numbers of breast oncoplastic surgeons were 3 (1, 8) versus 1 (0, 3), and qualified breast reconstruction nurses were 12 (6, 16) versus 1 (0, 8), respectively. All differences were statistically significant (all P<0.01). Conclusion:About 80% of hospitals in China have offered breast reconstruction procedures after breast cancer surgery, and the proportion of Grade Ⅲ Level A hospitals and specialized cancer hospitals is higher than that of other types of hospitals. The proportion of patients undergoing breast reconstruction after breast cancer surgery is relatively low, and there is a considerable potential of improvements. Breast oncoplastic surgeons and nurses are insufficient, so it is necessary to strengthen the training of specialized medical staff and improve surgical techniques and the level of nursing services simultaneously, so as to improve the quality of life of breast cancer patients.
8.Effect of triglyceride-glucose index on short-term prognosis of patients with initial acute ischemic stroke
Jingfeng WANG ; Qinrong XU ; Hongxuan FENG ; Ruiyao HU ; Bodun MA ; Xiaotian YU ; Xiaofeng DONG ; Qian GUI ; Guanhui WU ; Hao ZHU
Academic Journal of Naval Medical University 2025;46(9):1121-1126
Objective To investigate the effect of triglyceride-glucose index(TyG)on the short-term prognosis of patients with initial acute ischemic stroke.Methods A total of 391 patients with initial acute ischemic stroke who were hospitalized in Kunshan Second People's Hospital and The Affiliated Suzhou Hospital of Nanjing Medical University from Jun.2020 to Jun.2023 were retrospectively included.According to the modified Rankin scale(mRS)scores at 90 d follow-up,they were assigned to good prognosis group(286 cases)or poor prognosis group(105 cases).Logistic regression and receiver operating characteristic(ROC)curve were used to evaluate the effect of TyG on the short-term prognosis of patients with initial acute ischemic stroke.Results Compared with the good prognosis group,the patients of poor prognosis group had older age,higher proportion of atrial fibrillation,higher levels of homocysteine,triglyceride,total cholesterol,low-density lipoprotein,and TyG,and higher National Institutes of Health stroke scale(NIHSS)score(all P<0.05).Multivariate logistic regression analysis showed that age,homocysteine,TyG and NIHSS score were independent risk factors for poor prognosis in patients with initial acute ischemic stroke(all P<0.05).ROC curve analysis showed that TyG combined with NIHSS score had good predictive value for poor prognosis of patients with initial acute ischemic stroke,and the area under curve value was 0.795.Conclusion The combination of TyG and NIHSS score is an independent influencing factor for poor short-term prognosis in patients with initial acute ischemic stroke.
9.Simultaneous Determination of 50 Kinds of Steroid Hormones in Surface Water by Online Solid Phase Extraction Coupled with Ultra Performance Liquid Chromatography-Triple Quadrupole Mass Spectrometry
Fang-Xi XU ; He NIU ; Yu-Tao GE ; Guo-Hua ZHU ; Hang-Bin LYU ; Jin-Song LI ; Lang-Sha YI ; Jian-Jie FU ; Gui-Bin JIANG
Chinese Journal of Analytical Chemistry 2025;53(6):998-1009,中插22-中插41
A novel analytical method was developed in this study by combining online solid phase extraction with ultra performance liquid chromatography-tandem mass spectrometry(Online SPE-UPLC-MS/MS)for simultaneous determination of 50 kinds of steroid hormones in surface water.Specifically,after high-speed centrifugation of 4 mL water samples,the supernatant was directly injected into an Oasis HLB online SPE column for enrichment and purification.Subsequently,the target compounds were transferred to the analytical column via valve switching for separation and analysis.The chromatographic separation was performed on a Thermo Acclaim RSLC C18 column(100 mm×2.1 mm,2.2 μm),using a mobile phase composed of 5 mmol/L ammonium fluoride aqueous solution and acetonitrile.Mass spectrometric detection was conducted in positive ion mode,utilizing multiple reaction monitoring(MRM)with quantification achieved by the internal standard method.The method validation demonstrated that the limits of detection(LOD)for the 50 kinds of steroid hormones ranged from 0.02 to 0.50 ng/L,while the limits of quantification(LOQ)were between 0.08 and 1.67 ng/L.The average recoveries in surface water samples at spiked concentrations of 5,20 and 200 ng/L were between 74.1%and 119%,with relative standard deviations(RSDs)of 0.2%to 9.9%.This method was applied to analyze 11 surface water samples collected from sites surrounding a pharmaceutical and chemical industrial park.A total of 44 kinds of steroid hormones were detected,with concentrations ranging from 0.11 to 88.6 ng/L,revealing the presence of hormone contamination in the environmental waters surrounding industrial areas.Compared with the traditional offline SPE methods,the proposed online SPE technique significantly reduced sample volume requirements and pretreatment time,while minimizing the loss of target compounds during the pretreatment process.Moreover,compared to reported online SPE techniques,this method achieved high-throughput analysis of multiple classes of steroid hormones,with lower detection limits and higher recoveries.Overall,this method provided rapid sample preparation,high sensitivity,and excellent stability,making it suitable for the direct analysis of trace steroid hormones in surface water.
10.Sports injury prediction model based on machine learning
Mengli WEI ; Yaping ZHONG ; Huixian GUI ; Yiwen ZHOU ; Yeming GUAN ; Shaohua YU
Chinese Journal of Tissue Engineering Research 2025;29(2):409-418
BACKGROUND:The sports medicine community has widely called for the use of machine learning technology to efficiently process the huge and complicated sports data resources,and construct intelligent sports injury prediction models,enabling accurate early warning of sports injuries.It is of great significance to comprehensively summarize and review such research results so as to grasp the direction of early warning model improvement and to guide the construction of sports injury prediction models in China. OBJECTIVE:To systematically review and analyze relevant research on sports injury prediction models based on machine learning technology,thereby providing references for the development of sports injury prediction models in China. METHODS:Literature search was conducted on CNKI,Web of Science and EBSCO databases,which mainly searched for literature related to machine learning techniques and sports injuries.Finally,61 articles related to sports injury prediction models were included for analysis. RESULTS AND CONCLUSION:(1)In terms of external risk feature indicators,there is a lack of competition scenario indicators,and the inclusion of related feature indicators needs to be further improved to further enrich the dimensions of the dataset for model training.In addition,the inclusion feature weighting methods of the sports injury prediction model are mainly based on filtering methods and the use of embedding and wrapping weighting methods needs to be strengthened in order to enhance the analysis of the interaction effects of multiple risk factors.(2)In terms of model body training,supervised learning algorithms become the mainstream choice.Such algorithms have higher requirements for the completeness of sample labeling information,and the application scenarios are easily limited.Therefore,the application of unsupervised and semi-supervised algorithms can be increased in the later stage.(3)In terms of model performance evaluation and optimization,the current studies mainly adopt two verification methods:HoldOut crossover and k-crossover.The range of AUC values is(0.76±0.12),the range of sensitivity is(75.92±11.03)%,the range of specificity is(0.03±4.54)%,the range of F1 score is(80.60±10.63)%,the range of accuracy is(69.96±13.10)%,and the range of precision is(70±14.71)%.Data augmentation and feature optimization are the most common model optimization operations.The accuracy and precision of the current sports injury prediction model are about 70%,and the early warning effect is good.However,the model optimization operation is relatively single,and data augmentation methods are often used to improve model performance.Further adjustments to the model algorithm and hyperparameters are needed to further improve model performance.(4)In terms of model feature extraction,most of the internal risk profile indicators included are mainly based on anthropometrics,training load,years of training,and injury history,but there is a lack of sports recovery and physical function indicators.


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