1.Epidemiological characteristics and influencing factors of severe fever with thrombocytopenia syndrome in Zhejiang Province
LÜ ; Jing ; XU Xinying ; QIAO Yingyi ; SHI Xinglong ; YUE Fang ; LIU Ying ; CHENG Chuanlong ; ZHANG Yuqi ; SUN Jimin ; LI Xiujun
Journal of Preventive Medicine 2026;38(1):10-14
Objective:
To analyze the epidemiological characteristics and influencing factors of severe fever with thrombocytopenia syndrome (SFTS) in Zhejiang Province from 2019 to 2023, so as to provide the reference for strengthening SFTS prevention and control.
Methods:
Data on laboratory-confirmed SFTS cases in Zhejiang Province from 2019 to 2023 were collected through the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. Meteorological data, geographic environment and socioeconomic factors during the same period were collected from the fifth-generation European Centre for Medium-Range Weather Forecasts, Geospatial Data Cloud, and Zhejiang Statistical Yearbook, respectively. Descriptive epidemiological methods were used to analyze the epidemiological characteristics of SFTS from 2019 to 2023, and a Bayesian spatio-temporal model was constructed to analyze the influencing factors of SFTS incidence.
Results:
A total of 578 SFTS cases were reported in Zhejiang Province from 2019 to 2023, with an annual average incidence of 0.23/105. The peak period was from May to July, accounting for 52.60%. There were 309 males and 269 females, with a male-to-female ratio of 1.15∶1. The cases were mainly aged 50-<80 years, farmers, and in rural areas, accounting for 82.53%, 77.34%, and 75.43%, respectively. Taizhou City and Shaoxing City reported more SFTS cases, while Shaoxing City and Zhoushan City had higher annual average incidences of SFTS. The Bayesian spatio-temporal interaction model showed good goodness of fit. The results showed that mean temperature (RR=1.626, 95%CI: 1.111-2.378) and mean wind speed (RR=1.814, 95%CI: 1.321-2.492) were positively correlated with SFTS risk, while altitude (RR=0.432, 95%CI: 0.230-0.829) and population density (RR=0.443, 95%CI: 0.207-0.964) were negatively correlated with SFTS risk.
Conclusions
SFTS in Zhejiang Province peaks from May to July. Middle-aged and elderly people and farmers are high-risk populations. Taizhou City, Shaoxing City, and Zhoushan City are high-incidence areas. Mean temperature, mean wind speed, altitude, and population density can all affect the risk of SFTS incidence.
2.Extraction,Separation and Hypoglycemic Activity Analysis of Polysaccharides from Brassica rapa
Mengyu HOU ; Ruina XU ; Qingsong LI ; Shaoxuan LI ; Xinying MA ; Yaohui YE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):219-228
ObjectiveTo optimize the extraction method for polysaccharides from turnip(Brassica rapa), and analyze and evaluate the primary structure of the isolated and purified turnip polysaccharide fraction(BP-1) and its hypoglycemic effects in diabetic zebrafish. MethodsTaking polysaccharide yield as the evaluation index, a semi-bionic extraction method was employed. Single-factor experiments and Box-Behnken response surface methodology were used to investigate three factors of solid-to-liquid ratio, extraction time and extraction temperature, in order to optimize the extraction process. BP-1 was isolated and purified using the Sevage method and DEAE-52 cellulose column chromatography. Structural characterization of the turnip polysaccharides was performed using ultraviolet-visible spectrophotometry(UV), gas chromatography-mass spectrometry(GC-MS), Congo red assay, and Fourier-transform infrared spectroscopy(FT-IR) to determine purity, monosaccharide composition, triple-helix structure, and functional groups. The microstructure of the polysaccharides was observed using scanning electron microscopy(SEM) and atomic force microscopy(AFM). Zebrafish were divided into the blank group(adding E3 medium), and BP-1-1, BP-1-10, BP-1-50, BP-1-200, BP-1-1 000 groups(adding BP-1 solutions at concentrations of 1, 10, 50, 200, 1 000 mg·L-1, respectively), and zebrafish embryos were subjected to a 96-hour exposure experiment. The maximum tolerated concentration of BP-1 in zebrafish was determined by evaluating its effects on phenotype, survival rate, malformation rate, and heart rate. Experimental animals were randomly divided into the blank group, model group, BP-1-10 group(10 mg·L-1), BP-1-50 group(50 mg·L-1), and BP-1-200 group(200 mg·L-1). The blank group was cultured in E3 medium, the model and treatment groups were induced to establish a diabetic model in 4 day-post-fertilization(dpf) zebrafish embryos using 10 g·L-1 of glucose combined with 500 µmol·L-1 of alloxan. The treatment groups received corresponding doses of BP-1 solution, while the blank and model groups received an equal volume of saline. Glucose and insulin(INS) levels were measured using enzyme-linked immunosorbent assay(ELISA) kits, the effects on the liver were observed by hematoxylin-eosin(HE) histopathological sections. The mRNA expression levels of glucagon(Glucagon), insulin(Insa), and phosphoenolpyruvate carboxykinase 1(PCK1) were detected with real-time fluorescence quantitative polymerase chain reaction(Real-time PCR). ResultsThe optimized extraction conditions were determined as follows:solid-to-liquid ratio of 1∶40(g·mL-1), extraction time of 66 min, and extraction temperature of 79 ℃. Under these conditions, the yield of turnip polysaccharides was (10.34±0.96)%. UV analysis indicated that BP-1 contained no proteins or nucleic acids, GC-MS analysis revealed that BP-1 consisted of six monosaccharides(arabinose, rhamnose, ribose, mannose, galactose and glucose). Congo red assay indicated that the molecular conformation did not exhibit a triple-helix structure, FT-IR analysis showed the presence of α-glycosidic bonds and uronic acids, SEM analysis revealed an irregular flaky structure with a flat and smooth surface, AFM analysis suggested that the aggregated structure might be formed by the entanglement of molecular chains and intramolecular hydrogen bonding. The maximum tolerated concentration of BP-1 in zebrafish over 96 h was determined to be 200 mg·L-1. Pharmacodynamic results showed that, compared with the blank group, the model group exhibited significantly increased glucose levels and significantly decreased INS levels(P<0.01). Compared with the model group, the BP-1-50 group significantly reduced glucose levels and increased INS levels(P<0.05). Histopathological examination of liver tissue revealed that various doses of BP-1 had a certain reparative effect on damaged liver tissue. The liver tissue structure in the BP-1-200 group was nearly normal, with hepatocytes appearing plump. Real-time PCR results showed that, compared with the blank group, the model group exhibited significantly upregulated mRNA expressions of Glucagon and PCK1, and significantly downregulated mRNA expression of Insa(P<0.01). Compared with the model group, the BP-1-50 and BP-1-200 groups showed significantly downregulated mRNA expressions of Glucagon and PCK1, and significantly upregulated mRNA expression of Insa(P<0.01). ConclusionThe semi-bionic extraction method for turnip polysaccharides yields a high extraction rate, is simple to operate, has low costs, making it suitable for large-scale industrial production. BP-1 consists of six monosaccharides, contains α-glycosidic bonds and uronic acids, exhibits hypoglycemic activity, and provides a certain protective effect on the liver of alloxan-induced diabetic model zebrafish.
3.Extraction,Separation and Hypoglycemic Activity Analysis of Polysaccharides from Brassica rapa
Mengyu HOU ; Ruina XU ; Qingsong LI ; Shaoxuan LI ; Xinying MA ; Yaohui YE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):219-228
ObjectiveTo optimize the extraction method for polysaccharides from turnip(Brassica rapa), and analyze and evaluate the primary structure of the isolated and purified turnip polysaccharide fraction(BP-1) and its hypoglycemic effects in diabetic zebrafish. MethodsTaking polysaccharide yield as the evaluation index, a semi-bionic extraction method was employed. Single-factor experiments and Box-Behnken response surface methodology were used to investigate three factors of solid-to-liquid ratio, extraction time and extraction temperature, in order to optimize the extraction process. BP-1 was isolated and purified using the Sevage method and DEAE-52 cellulose column chromatography. Structural characterization of the turnip polysaccharides was performed using ultraviolet-visible spectrophotometry(UV), gas chromatography-mass spectrometry(GC-MS), Congo red assay, and Fourier-transform infrared spectroscopy(FT-IR) to determine purity, monosaccharide composition, triple-helix structure, and functional groups. The microstructure of the polysaccharides was observed using scanning electron microscopy(SEM) and atomic force microscopy(AFM). Zebrafish were divided into the blank group(adding E3 medium), and BP-1-1, BP-1-10, BP-1-50, BP-1-200, BP-1-1 000 groups(adding BP-1 solutions at concentrations of 1, 10, 50, 200, 1 000 mg·L-1, respectively), and zebrafish embryos were subjected to a 96-hour exposure experiment. The maximum tolerated concentration of BP-1 in zebrafish was determined by evaluating its effects on phenotype, survival rate, malformation rate, and heart rate. Experimental animals were randomly divided into the blank group, model group, BP-1-10 group(10 mg·L-1), BP-1-50 group(50 mg·L-1), and BP-1-200 group(200 mg·L-1). The blank group was cultured in E3 medium, the model and treatment groups were induced to establish a diabetic model in 4 day-post-fertilization(dpf) zebrafish embryos using 10 g·L-1 of glucose combined with 500 µmol·L-1 of alloxan. The treatment groups received corresponding doses of BP-1 solution, while the blank and model groups received an equal volume of saline. Glucose and insulin(INS) levels were measured using enzyme-linked immunosorbent assay(ELISA) kits, the effects on the liver were observed by hematoxylin-eosin(HE) histopathological sections. The mRNA expression levels of glucagon(Glucagon), insulin(Insa), and phosphoenolpyruvate carboxykinase 1(PCK1) were detected with real-time fluorescence quantitative polymerase chain reaction(Real-time PCR). ResultsThe optimized extraction conditions were determined as follows:solid-to-liquid ratio of 1∶40(g·mL-1), extraction time of 66 min, and extraction temperature of 79 ℃. Under these conditions, the yield of turnip polysaccharides was (10.34±0.96)%. UV analysis indicated that BP-1 contained no proteins or nucleic acids, GC-MS analysis revealed that BP-1 consisted of six monosaccharides(arabinose, rhamnose, ribose, mannose, galactose and glucose). Congo red assay indicated that the molecular conformation did not exhibit a triple-helix structure, FT-IR analysis showed the presence of α-glycosidic bonds and uronic acids, SEM analysis revealed an irregular flaky structure with a flat and smooth surface, AFM analysis suggested that the aggregated structure might be formed by the entanglement of molecular chains and intramolecular hydrogen bonding. The maximum tolerated concentration of BP-1 in zebrafish over 96 h was determined to be 200 mg·L-1. Pharmacodynamic results showed that, compared with the blank group, the model group exhibited significantly increased glucose levels and significantly decreased INS levels(P<0.01). Compared with the model group, the BP-1-50 group significantly reduced glucose levels and increased INS levels(P<0.05). Histopathological examination of liver tissue revealed that various doses of BP-1 had a certain reparative effect on damaged liver tissue. The liver tissue structure in the BP-1-200 group was nearly normal, with hepatocytes appearing plump. Real-time PCR results showed that, compared with the blank group, the model group exhibited significantly upregulated mRNA expressions of Glucagon and PCK1, and significantly downregulated mRNA expression of Insa(P<0.01). Compared with the model group, the BP-1-50 and BP-1-200 groups showed significantly downregulated mRNA expressions of Glucagon and PCK1, and significantly upregulated mRNA expression of Insa(P<0.01). ConclusionThe semi-bionic extraction method for turnip polysaccharides yields a high extraction rate, is simple to operate, has low costs, making it suitable for large-scale industrial production. BP-1 consists of six monosaccharides, contains α-glycosidic bonds and uronic acids, exhibits hypoglycemic activity, and provides a certain protective effect on the liver of alloxan-induced diabetic model zebrafish.
4.Influence of parental smoking and household secondhand smoke exposure on adolescents smoking initiation
SU Qi, XU Luting, SHI Jianhui, ZENG Xinying, LIU Ying, QI Mingxin, CAO Yuan, LIU Shiwei
Chinese Journal of School Health 2025;46(3):339-342
Objective:
To explore the impact of household tobacco smoke exposure on adolescents attempted smoking behavior, so as to provide a reference for tobacco control policy formulation and evaluation.
Methods:
From September to November 2023, a stratified cluster random sampling method was employed to select 7 841 middle and high school students from 10 monitoring sites (districts/counties) in Beijing for a questionnaire survey. Rao-Scott Chi square test was used to assess differences in proportions across subgroups, and complex sampling design based multivariate Logistic regression analysis was conducted to explore the influence of parental smoking and secondhand smoke (SHS) exposure at home on adolescents attempted smoking behavior.
Results:
About 47.17% of adolescents reported to have at least one parent smoked, with 42.36% reported of having only the father smoked, 0.73% reported of having only the mother smoked, and 4.08% reported of having both parents smoked. About 34.66% of middle and high school students were reported SHS exposure at home in the past 7 days, with 10.98%, 4.79% and 18.89% reported SHS exposure for 1-2, 3-4 and 5-7 days. Compared to adolescents with non smoking parents, those with a smoking father or both smoking parents had higher rates of attempted smoking [ OR (95% CI )=1.45(1.06-1.98), 3.73(2.18-6.37), P < 0.05 ]. Compared to adolescents without SHS exposure at home in the past 7 days, those exposed for 3-4 or 5- 7 days had higher rates of attempted smoking [ OR (95% CI )=2.21(1.27- 3.84 ), 2.46(1.58-3.83), P <0.01].
Conclusions
Household tobacco smoke exposure is associated with adolescent attempted smoking behavior. Parents should quit smoking and prohibit smoking at home to create a smoke free environment for adolescents.
5.Isolated coronary arteritis secondary to Behçet’s disease: a case report
Yang ZHANG ; Lei XU ; Xinying HU ; Hao JIANG ; Feng ZHANG ; Junbo GE
Chinese Journal of Clinical Medicine 2025;32(2):300-305
A 36-year-old male patient presented with repeated myocardial infarction. Despite regular dual-antiplatelet therapy and intensive lipid-lowering therapy, he still experienced restenosis after coronary stent implantation. He then transferred to the Zhongshan Hospital, Fudan University. According to the disease history, combined with coronary artery inflammation observed by PET/CT and effective anti-inflammatory treatment, he was finally diagnosed with Behçet’s disease (BD) combined with isolated coronary arteritis. BD has been included in the Chinese Second Catalog of Rare Diseases, and the disease that only involves the coronary arteries is even rarer, which makes it very easy to misdiagnose and underdiagnosis in clinical practice. Strengthening the understanding of the complex clinical phenotypes of various vasculitis, attaching importance to multidisciplinary consultation, and dynamically following up are of great value for the early diagnosis of this disease.
6.Study on the mechanism of Brassica rapa polysaccharide in improving alcoholic liver injury of mice based on intestinal microbiota and metabolomics
Xinying MA ; Ruina XU ; Shaoxuan LI ; Ruiyin YE ; Yuexing MA ; Yaohui YE
China Pharmacy 2025;36(16):2005-2011
OBJECTIVE To investigate the effects of Brassica rapa polysaccharide (BRP) on the Toll-like receptor 4 (TLR4)/ myeloid differentiation factor 88 (MyD88)/nuclear factor-κB (NF-κB), AMP-activated protein kinase (AMPK)/sterol regulatory element-binding protein-1c (SREBP-1c) pathways, intestinal microbiota and liver metabolism of mice with alcoholic liver injury, and preliminarily elucidate its mechanism for improving alcoholic liver injury. METHODS Seventy-two mice were randomly divided into blank group (normal saline), model group (normal saline), bifendate group (positive control, 300 mg/kg) and BRP low-, medium- and high-dose groups (75, 150 and 300 mg/kg). They were given relevant medicine intragastrically, once a day, for consecutive 9 d. After the last administration, mice in all groups except the blank group were gavaged with white liquor to establish an alcoholic liver injury model. The levels of alanine aminotransferase and aspartate aminotransferase in serum, total cholesterol, triglycerides, low-density lipoprotein cholesterol, interleukin-6, interleukin-1β, tumor necrosis factor- α and lipopolysaccharide, as well as protein expressions of TLR4, MyD88, NF-κB p65, phosphorylated NF-κB p65 (p-NF-κB p65), AMPK, phosphorylated AMPK (p-AMPK), and SREBP-1c were all detected; pathological morphological changes of liver tissue and colon were observed. 16S rRNA was used to detect the changes of intestinal microbiota in mice, and metabolomics 2022B02058) technology was used to detect the changes of liver metabolites. RESULTS Compared with model group, the above biochemical indicators and the protein expressions of TLR4, MyD88, p-NF-κB p65, and SREBP-1c in liver tissues were all significantly decreased (P<0.05 or P<0.01), while the protein expression of p-AMPK was significantly increased (P<0.05 or P<0.01). Pathological damage to liver and colon tissues was significantly improved. Medium dose of BRP could increase the relative abundance of Akkermansia, norank_f_Muribaculaceae and Lachnospiraceae_NK4A136_group in the intestinal contents of mice to a certain extent, and decrease the relative abundance of Lactobacillus and Escherichia-Shigella. A total of 9 differential metabolites were identified by metabolomics, including homogentisic acid, myristyl lysophosphatidylcholine, which were involved in pathways such as tyrosine metabolism. CONCLUSIONS BRP can regulate the relative abundance of beneficial flora, reduce the relative abundance of harmful flora, improve the structure of intestinal colonies, reduce the entry of pro-inflammatory mediator lipopolysaccharides into liver tissue, affect metabolic pathways such as tyrosine metabolism and the expression of TLR4/MyD88/NF- κB and AMPK/SREBP-1c signaling pathways in the liver, and ultimately improve alcoholic liver injury.
7.Alzheimer's disease diagnosis among dementia patients via blood biomarker measurement based on the AT(N) system.
Tianyi WANG ; Li SHANG ; Chenhui MAO ; Longze SHA ; Liling DONG ; Caiyan LIU ; Dan LEI ; Jie LI ; Jie WANG ; Xinying HUANG ; Shanshan CHU ; Wei JIN ; Zhaohui ZHU ; Huimin SUI ; Bo HOU ; Feng FENG ; Bin PENG ; Liying CUI ; Jianyong WANG ; Qi XU ; Jing GAO
Chinese Medical Journal 2025;138(12):1505-1507
8.Associations between statins and all-cause mortality and cardiovascular events among peritoneal dialysis patients: A multi-center large-scale cohort study.
Shuang GAO ; Lei NAN ; Xinqiu LI ; Shaomei LI ; Huaying PEI ; Jinghong ZHAO ; Ying ZHANG ; Zibo XIONG ; Yumei LIAO ; Ying LI ; Qiongzhen LIN ; Wenbo HU ; Yulin LI ; Liping DUAN ; Zhaoxia ZHENG ; Gang FU ; Shanshan GUO ; Beiru ZHANG ; Rui YU ; Fuyun SUN ; Xiaoying MA ; Li HAO ; Guiling LIU ; Zhanzheng ZHAO ; Jing XIAO ; Yulan SHEN ; Yong ZHANG ; Xuanyi DU ; Tianrong JI ; Yingli YUE ; Shanshan CHEN ; Zhigang MA ; Yingping LI ; Li ZUO ; Huiping ZHAO ; Xianchao ZHANG ; Xuejian WANG ; Yirong LIU ; Xinying GAO ; Xiaoli CHEN ; Hongyi LI ; Shutong DU ; Cui ZHAO ; Zhonggao XU ; Li ZHANG ; Hongyu CHEN ; Li LI ; Lihua WANG ; Yan YAN ; Yingchun MA ; Yuanyuan WEI ; Jingwei ZHOU ; Yan LI ; Caili WANG ; Jie DONG
Chinese Medical Journal 2025;138(21):2856-2858
9.An adaptive multi-label classification model for diabetic retinopathy lesion recognition.
Xina LIU ; Jun XIE ; Junjun HOU ; Xinying XU ; Yan GUO
Journal of Biomedical Engineering 2025;42(5):892-900
Diabetic retinopathy is a common blinding complication in diabetic patients. Compared with conventional fundus color photography, fundus fluorescein angiography can dynamically display retinal vessel permeability changes, offering unique advantages in detecting early small lesions such as microaneurysms. However, existing intelligent diagnostic research on diabetic retinopathy images primarily focuses on fundus color photography, with relatively insufficient research on complex lesion recognition in fluorescein angiography images. This study proposed an adaptive multi-label classification model (D-LAM) to improve the recognition accuracy of small lesions by constructing a category-adaptive mapping module, a label-specific decoding module, and an innovative loss function. Experimental results on a self-built dataset demonstrated that the model achieved a mean average precision of 96.27%, a category F1-score of 91.21%, and an overall F1-score of 94.58%, with particularly outstanding performance in recognizing small lesions such as microaneurysms (AP = 1.00), significantly outperforming existing methods. The research provides reliable technical support for clinical diagnosis of diabetic retinopathy based on fluorescein angiography.
Diabetic Retinopathy/diagnostic imaging*
;
Humans
;
Fluorescein Angiography
;
Microaneurysm/diagnostic imaging*
;
Retinal Vessels
;
Algorithms
10.Development and validation of a nutrition-related genetic-clinical-radiological nomogram associated with behavioral and psychological symptoms in Alzheimer’s disease
Jiwei JIANG ; Yaou LIU ; Anxin WANG ; Zhizheng ZHUO ; Hanping SHI ; Xiaoli ZHANG ; Wenyi LI ; Mengfan SUN ; Shirui JIANG ; Yanli WANG ; Xinying ZOU ; Yuan ZHANG ; Ziyan JIA ; Jun XU
Chinese Medical Journal 2024;137(18):2202-2212
Background::Few evidence is available in the early prediction models of behavioral and psychological symptoms of dementia (BPSD) in Alzheimer’s disease (AD). This study aimed to develop and validate a novel genetic-clinical-radiological nomogram for evaluating BPSD in patients with AD and explore its underlying nutritional mechanism.Methods::This retrospective study included 165 patients with AD from the Chinese Imaging, Biomarkers, and Lifestyle (CIBL) cohort between June 1, 2021, and March 31, 2022. Data on demographics, neuropsychological assessments, single-nucleotide polymorphisms of AD risk genes, and regional brain volumes were collected. A multivariate logistic regression model identified BPSD-associated factors, for subsequently constructing a diagnostic nomogram. This nomogram was internally validated through 1000-bootstrap resampling and externally validated using a time-series split based on the CIBL cohort data between June 1, 2022, and February 1, 2023. Area under receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were used to assess the discrimination, calibration, and clinical applicability of the nomogram.Results::Factors independently associated with BPSD were: CETP rs1800775 (odds ratio [OR] = 4.137, 95% confidence interval [CI]: 1.276-13.415, P = 0.018), decreased Mini Nutritional Assessment score (OR = 0.187, 95% CI: 0.086-0.405, P <0.001), increased caregiver burden inventory score (OR = 8.993, 95% CI: 3.830-21.119, P <0.001), and decreased brain stem volume (OR = 0.006, 95% CI: 0.001-0.191, P = 0.004). These variables were incorporated into the nomogram. The area under the ROC curve was 0.925 (95% CI: 0.884-0.967, P <0.001) in the internal validation and 0.791 (95% CI: 0.686-0.895, P <0.001) in the external validation. The calibration plots showed favorable consistency between the prediction of nomogram and actual observations, and the DCA showed that the model was clinically useful in both validations. Conclusion::A novel nomogram was established and validated based on lipid metabolism-related genes, nutritional status, and brain stem volumes, which may allow patients with AD to benefit from early triage and more intensive monitoring of BPSD.Registration::Chictr.org.cn, ChiCTR2100049131.


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