1.Study on the mechanism of Juanxiao decoction in improving bronchial asthma
Bangqing CAO ; Qiangqiang YU ; Meinian LIU ; Zhixi WU ; Lizhen ZENG ; Mengyao TONG ; Yunhua DENG ; Hanrong XUE
China Pharmacy 2026;37(2):155-160
OBJECTIVE To investigate the potential mechanism by which Juanxiao decoction improves bronchial asthma (hereinafter referred to as “asthma”) based on the nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3) inflammasome signaling pathway. METHODS Female SD rats were randomly assigned to normal group, model group and Juanxiao decoction low-, medium- and high-dose groups (0.36, 0.72 and 1.44 g/kg, calculated based on crude drug weight), as well as positive control group (Dexamethasone acetate tablets, 0.2 mg/kg), with 10 rats in each group. Except for the normal group, asthma models were established in the remaining groups via intraperitoneal injection of ovalbumin combined with aluminum hydroxide, followed by nebulized inhalation of ovalbumin. On day 14 of the experiment, rats in each group received intragastric administration of the corresponding solution or normal saline, once a day, for 7 consecutive days. Following the final administration, the following parameters were measured in each group: lung function indexes (forced vital capacity, forced expiratory volume in 0.3 second, peak expiratory flow), serum levels of inflammatory markers (interleukin-1β, interleukin- 18), and the percentages of inflammatory cells (lymphocytes, eosinophils, neutrophils) in bronchoalveolar lavage fluid. Histopathological changes in lung tissue were observed, and the protein and mRNA expressions of nuclear factor-kappa B (NF- κB), NLRP3 and caspase-1 in lung tissue were detected. RESULTS Compared with the normal group, pathological changes such as alveolar wall thickening and inflammatory cell infiltration were observed in rats in the model group. All pulmonary function indicators were significantly reduced in rats in the model group and the administration groups. The levels of inflammatory markers, the percentages of inflammatory cells, and the protein and mRNA expressions of NF-κB, NLRP3 and caspase-1 were significantly elevated or up-regulated (P<0.05). Compared with the model group, pathological changes in rats in each dosage group of Juanxiao decoction were significantly alleviated, and all quantitative indicators showed dose-dependent improvements (P<0.05). CONCLUSIONS Juanxiao decoction can reduce airway inflammatory responses in asthmatic rats, alleviate lung function impairment, and improve pathological changes such as inflammatory cell infiltration. Those effects may be related to the inhibition of the NLRP3 inflammasome signaling pathway.
2.Clinical Value of A Arterial and Portal CT-Based Deep Learning Model for the Differential Diagnosis of Benign and Malignant Pancreatic Cystic Lesions
Boyu CHEN ; Wenyi DENG ; Fuze CONG ; Huadan XUE
Medical Journal of Peking Union Medical College Hospital 2026;17(4):963-975
To develop a deep learning model based on arteriovenous dual-phase CT imaging features and evaluate its diagnostic value in differentiating benign from malignant pancreatic cystic lesions(PCLs). Preoperative contrast-enhanced CT images of patients with histopathologically confirmed PCLs at Peking Union Medical College Hospital from June 1, 2014 to May 31, 2023 were retrospectively collected. The data were randomly partitioned at the lesion level into training, validation, and test sets in a 3∶1∶1 ratio. CT images were preprocessed and regions of interest were delineated. Using postoperative pathological results as the reference standard, five deep learning models(ResNet50, DenseNet121, ResNeXt50, EfficientNet-b5, and MobileNetV2) were constructed to extract arteriovenous dual-phase CT imaging features for binary classification of PCLs. The optimal model was selected based on the area under the curve(AUC), accuracy, sensitivity, and specificity. Further comparative analyses were conducted against single-phase CT-based deep learning models, conventional radiomics models, and radiologist interpretations to comprehensively evaluate the performance of the arteriovenous dual-phase CT-based deep learning model in the differential diagnosis of PCLs. A total of 480 patients with 485 lesions(206 malignant and 279 benign) were ultimately enrolled. The training, validation, and test sets comprised 291, 97, and 97 lesions, corresponding to 288, 96, and 96 patients, respectively. In the validation set, the ResNeXt50 model based on arteriovenous dual-phase CT features achieved an AUC of 0.837(95% CI: 0.748-0.915), an accuracy of 77.32%(95% CI: 67.70%-85.21%), a sensitivity of 80.49%(95% CI: 65.13%-91.18%), and a specificity of 75.00%(95% CI: 61.63%-85.61%). In the test set, the corresponding values were 0.822(95% CI: 0.737-0.904), 73.20%(95% CI: 63.24%-81.68%), 82.93%(95% CI: 67.94%-92.85%), and 66.07%(95% CI: 52.19%-78.19%), demonstrating overall superior performance. Calibration curves indicated that the predicted probabilities of the model were generally consistent with observed outcomes, albeit with certain shortcomings in probability calibration. Decision curve analysis demonstrated that, overall, the use of this model for clinical decision-making conferred a net benefit to patients. Compared with single-phase CT-based models and conventional radiomics models, the ResNeXt50 model incorporating arteriovenous dual-phase CT features exhibited superior overall performance, and its diagnostic performance was comparable to that of radiologists, with good consistency. The deep learning model based on arteriovenous dual-phase CT imaging features demonstrates diagnostic value in differentiating benign from malignant PCLs and may serve as an adjunctive reference for preoperative clinical assessment. However, its stability and generalizability warrant further validation in larger cohorts and with external datasets.
3.Antibody levels of diphtheria and tetanus in healthy population in Pudong New Area, Shanghai, 2018-2024
Yu BAI ; Dandan YANG ; Wanran CHENG ; Rui ZHANG ; Pengfei DENG ; Caoyi XUE ; Laibao YANG ; Yi FEI
Journal of Public Health and Preventive Medicine 2026;37(3):52-55
Objective To understand the antibody levels of diphtheria and tetanus among healthy population in Shanghai Pudong New Area, and to provide a scientific basis for improving the vaccine immunization strategy. Methods Random sampling was used to select healthy people of all ages in 16 communities in Shanghai Pudong New Area from 2018 to 2024, and serum samples were collected and tested for serum anti-diphtheria and tetanus toxin IgG antibodies by enzyme-linked immunosorbent assay (ELISA) method to analyze the antibody positivity rate (≥0.1 IU/ml) and the geometric mean concentration (GMC) of antibodies. Results A total of 3 312 serum samples were included, with a male-to-female ratio of 0.76:1, and 53.77% were local residents. The seropositivity rates and geometric mean concentrations (GMC) of both diphtheria and tetanus antibodies generally declined with increasing age, but exhibited a transient rebound in the 7y-. A total of 1 175 individuals (35.48%) were seropositive for diphtheria, with a GMC of 0.054 IU/mL. For tetanus, 988 individuals (29.83%) were seropositive, with a GMC of 0.033 IU/mL. Significant differences in seropositivity rates (χ2diphtheria=950.005,χ2tetanus=1 324.393) and GMC (Hdiphtheria=1027.160,Htetanus=1 142.007) were observed among different age groups (P<0.001). Significant differences in seropositivity rates (χ2diphtheria=950.005,χ2tetanus=1324.393) and GMC (Hdiphtheria=1027.160,Htetanus=1142.007) were also found across different years (P<0.001). Conclusion The prevalence of diphtheria and tetanus antibodies in the healthy population of Pudong New Area is relatively low, particularly among adults over 20 years of age with inadequate immunization. This underscores the need to reinforce the National Immunization Program (NIP) vaccine specifications for children under 6 years of age and implement an immunization strategy for adolescents or adults against diphtheria and tetanus.
4.A New Perspective on Mental Health Assessment in Laboratory Animals: Stress Response Monitoring Based on Hair Characteristics
Hongman LI ; Yutong CHEN ; Yingpei SHI ; Yijing WANG ; Yan PAN ; Tong XU ; Yi ZHOU ; Qiyue DENG ; Xue LIU
Laboratory Animal and Comparative Medicine 2026;46(4):553-563
The mental health management of laboratory animals is a critical factor in ensuring the reliability of scientific research data. However, due to the subtle nature of mental state alterations and the limitations of current assessment methods, the mental health of laboratory animals is often overlooked by researchers. Therefore, there is an urgent need to explore a new, objective, simple, and practical method for evaluating mental health. Stress, as a primary factor inducing alterations in the mental state of animals, can influence experimental results across multiple research fields through the neuroendocrine-immune network. This paper first elucidates the necessity of mental health management in laboratory animals from three perspectives: factors contributing to stress, neural mechanisms of stress, and research areas affected by stress. It highlights that excluding animals with abnormal mental states before experiments can enhance the efficiency and reproducibility of biomedical studies. Second, this paper briefly summarizes existing methods for assessing the health of laboratory animals, pointing out that approaches such as behavioral tests and metabolomics have many limitations in evaluating stress responses. Existing methods struggle to meet the demand for simple, objective, and non-invasive assessment methods in animal management. Therefore, this paper focuses on hair, a biological sample with the advantages of cumulative information and non-invasive collection, and systematically describes the theoretical basis and technological advances in using hair characteristics as indicators of stress responses from three perspectives: hair traits, the levels of substances in hair, and artificial intelligence (AI). It proposes and supports an innovative technical pathway that combines hair traits with AI-based image analysis, with the aim of offering an improved solution for non-invasive and objective stress assessment, while providing theoretical support for improving the health management system of laboratory animals.
5.Research progress on low-dose atropine combined with other interventional measures in myopia prevention and control
Dongdong DENG ; Xue LI ; Rui XIN ; Mulan TIAN ; Hui ZHANG
International Eye Science 2026;26(11):1973-1977
Myopia has evolved into a global public health concern, highlighting the critical importance of myopia prevention and control. This paper elaborates on the pathogenetic mechanisms of myopia and relevant therapeutic interventions, with a focused discussion on the action mechanisms and research advances of low-dose atropine combined with other interventional measures for myopia control. By comparing the advantages and limitations of such combined regimens, this review aims to provide scientific and safe strategies for myopia prevention and management.
6.Comprehensive Analysis of Oncogenic, Prognostic, and Immunological Roles of FANCD2 in Hepatocellular Carcinoma: A Potential Predictor for Survival and Immunotherapy.
Meng Jiao XU ; Wen DENG ; Ting Ting JIANG ; Shi Yu WANG ; Ru Yu LIU ; Min CHANG ; Shu Ling WU ; Ge SHEN ; Xiao Xue CHEN ; Yuan Jiao GAO ; Hongxiao HAO ; Lei Ping HU ; Lu ZHANG ; Yao LU ; Wei YI ; Yao XIE ; Ming Hui LI
Biomedical and Environmental Sciences 2025;38(3):313-327
OBJECTIVE:
Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy.
METHODS:
Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death.
RESULTS:
FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism.
CONCLUSION
To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans
;
Carcinoma, Hepatocellular/diagnosis*
;
Liver Neoplasms/diagnosis*
;
Immunotherapy
;
Fanconi Anemia Complementation Group D2 Protein/metabolism*
;
Prognosis
;
Male
;
Female
;
Middle Aged
;
Biomarkers, Tumor/metabolism*
7.A Retrospective Study of Pregnancy and Fetal Outcomes in Mothers with Hepatitis C Viremia.
Wen DENG ; Zi Yu ZHANG ; Xin Xin LI ; Ya Qin ZHANG ; Wei Hua CAO ; Shi Yu WANG ; Xin WEI ; Zi Xuan GAO ; Shuo Jie WANG ; Lin Mei YAO ; Lu ZHANG ; Hong Xiao HAO ; Xiao Xue CHEN ; Yuan Jiao GAO ; Wei YI ; Yao XIE ; Ming Hui LI
Biomedical and Environmental Sciences 2025;38(7):829-839
OBJECTIVE:
To investigate chronic hepatitis C virus (HCV) infection's effect on gestational liver function, pregnancy and delivery complications, and neonatal development.
METHODS:
A total of 157 HCV antibody-positive (anti-HCV[+]) and HCV RNA(+) patients (Group C) and 121 anti-HCV(+) and HCV RNA(-) patients (Group B) were included as study participants, while 142 anti-HCV(-) and HCV RNA(-) patients (Group A) were the control group. Data on biochemical indices during pregnancy, pregnancy complications, delivery-related information, and neonatal complications were also collected.
RESULTS:
Elevated alanine aminotransferase (ALT) rates in Group C during early, middle, and late pregnancy were 59.87%, 43.95%, and 42.04%, respectively-significantly higher than Groups B (26.45%, 15.70%, 10.74%) and A (23.94%, 19.01%, 6.34%) ( P < 0.05). Median ALT levels in Group C were significantly higher than in Groups A and B at all pregnancy stages ( P < 0.05). No significant differences were found in neonatal malformation rates across groups ( P > 0.05). However, neonatal jaundice incidence was significantly greater in Group C (75.16%) compared to Groups A (42.25%) and B (57.02%) ( χ 2 = 33.552, P < 0.001). HCV RNA positivity during pregnancy was an independent risk factor for neonatal jaundice ( OR = 2.111, 95% CI 1.242-3.588, P = 0.006).
CONCLUSIONS
Chronic HCV infection can affect the liver function of pregnant women, but does not increase the pregnancy or delivery complication risks. HCV RNA(+) is an independent risk factor for neonatal jaundice.
Humans
;
Female
;
Pregnancy
;
Adult
;
Pregnancy Complications, Infectious/epidemiology*
;
Retrospective Studies
;
Pregnancy Outcome
;
Infant, Newborn
;
Viremia/virology*
;
Hepatitis C
;
Hepacivirus/physiology*
;
Hepatitis C, Chronic/virology*
;
Young Adult
;
Alanine Transaminase/blood*
8.Association of Longitudinal Change in Fasting Blood Glucose with Risk of Cerebral Infarction in a Patients with Diabetes.
Tai Yang LUO ; Xuan DENG ; Xue Yu CHEN ; Yu He LIU ; Shuo Hua CHEN ; Hao Ran SUN ; Zi Wei YIN ; Shou Ling WU ; Yong ZHOU ; Xing Dong ZHENG
Biomedical and Environmental Sciences 2025;38(8):926-934
OBJECTIVE:
To investigate the association between long-term glycemic control and cerebral infarction risk in patients with diabetes through a large-scale cohort study.
METHODS:
This prospective, community-based cohort study included 12,054 patients with diabetes. From 2006 to 2012, 38,272 fasting blood glucose (FBG) measurements were obtained from these participants. FBG trajectory patterns were generated using latent mixture modelling. Cox proportional hazards models were applied to assess the subsequent risk of cerebral infarction associated with different FBG trajectory patterns.
RESULTS:
At baseline, the mean age of the participants was 55.2 years. Four distinct FBG trajectories were identified based on FBG concentrations and their changes over the 6-year follow-up period. After a median follow-up of 6.9 years, 786 cerebral infarction events were recorded. Different trajectory patterns were associated with significantly varied outcome risks (Log-Rank P < 0.001). Compared with the low-stability group, Hazard Ratio ( HR) adjusted for potential confounders were 1.37 for the moderate-increasing group, 1.23 for the elevated-decreasing group, and 2.08 for the elevated-stable group.
CONCLUSION
Sustained high FBG levels were found to play a critical role in the development of ischemic stroke among patients with diabetes. Controlling FBG levels may reduce the risk of cerebral infarction.
Humans
;
Cerebral Infarction/blood*
;
Middle Aged
;
Male
;
Female
;
Blood Glucose/analysis*
;
Fasting/blood*
;
Aged
;
Prospective Studies
;
Risk Factors
;
Diabetes Mellitus/blood*
;
Adult
;
Proportional Hazards Models
9.Effect of heterologous expression of Scenedesmus quadricauda malic enzyme gene SqME on photosynthetic carbon fixation and lipid accumulation in tobacco leaves.
Yizhen LIU ; Mengyuan LI ; Zhanqian LI ; Yushuang GUO ; Jingfang JI ; Wenchao DENG ; Ze YANG ; Yan SUN ; Chunhui ZHANG ; Jin'ai XUE ; Runzhi LI ; Chunli JI
Chinese Journal of Biotechnology 2025;41(7):2829-2842
Microalgae possess high photosynthetic efficiency, robust adaptability, and substantial biomass, serving as excellent biological resources for large-scale cultivation. Malic enzyme (ME), a ubiquitous metabolic enzyme in living organisms, catalyzes the decarboxylation of malate to produce pyruvate, CO2, and NAD(P)H, playing a role in multiple metabolic pathways including energy metabolism, photosynthesis, respiration, and biosynthesis. In this study, we identified the Scenedesmus quadricauda malic enzyme gene (SqME) and its biological functions, aiming to provide excellent target genes for the genetic improvement of higher plants. Based on the RNA-seq data from S. quadricauda under the biofilm cultivation mode with high CO2 and light energy transfer efficiency and small water use, a highly expressed gene (SqME) functionally annotated as ME was cloned. The physicochemical properties of the SqME-encoded protein were systematically analyzed by bioinformatics tools. The subcellular localization of SqME was determined via transient transformation in Nicotiana benthamiana leaves. The biological functions of SqME were identified via genetic transformation in Nicotiana tabacum, and the potential of SqME in the genetic improvement of higher plants was evaluated. The ORF of SqME was 1 770 bp, encoding 590 amino acid residues, and the encoded protein was located in chloroplasts. SqME was a NADP-ME, with the typical structural characteristics of ME. The ME activity in the transgenic N. tabacum plant was 1.8 folds of that in the wild-type control. Heterologous expression of SqME increased the content of chlorophyll a, chlorophyll b, and total chlorophyll by 20.9%, 26.9%, and 25.2%, respectively, compared with the control. The transgenic tobacco leaves showed an increase of 54.0% in the fluorescence parameter NPQ and a decrease of 30.1% in Fo compared with the control. Moreover, the biomass, total lipids, and soluble sugars in the transgenic tobacco leaves enhanced by 20.5%, 25.7%, and 9.5%, respectively. On the contrary, the starch and protein content in the transgenic tobacco leaves decreased by 22.4% and 12.2%, respectively. Collectively, the SqME-encoded protein exhibited a strong enzymatic activity. Heterologous expressing of SqME could significantly enhance photosynthetic protection, photosynthesis, and biomass accumulation in the host. Additionally, SqME can facilitate carbon metabolism remodeling in the host, driving more carbon flux towards lipid synthesis. Therefore, SqME can be applied in the genetic improvement of higher plants for enhancing photosynthetic carbon fixation and lipid accumulation. These findings provide scientific references for mining of functional genes from S. quadricauda and application of these genes in the genetic engineering of higher plants.
Nicotiana/genetics*
;
Photosynthesis/physiology*
;
Malate Dehydrogenase/biosynthesis*
;
Plant Leaves/genetics*
;
Scenedesmus/enzymology*
;
Carbon Cycle/genetics*
;
Lipid Metabolism/genetics*
;
Plants, Genetically Modified/metabolism*
10.Evolution and genetic variation of HA and NA genes of H1N1 influenza virus in Shanghai, 2024
Lufang JIANG ; Wei CHU ; Xuefei QIAO ; Pan SUN ; Senmiao DENG ; Yuxi WANG ; Xue ZHAO ; Jiasheng XIONG ; Xihong LYU ; Linjuan DONG ; Yaxu ZHENG ; Yinzi CHEN ; Chenyan JIANG ; Chenglong XIONG ; Jian CHEN
Shanghai Journal of Preventive Medicine 2025;37(9):719-724
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.


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