1.Evaluation of the public health governance capacity in Jiangsu Province
Peiyu FENG ; Anning MA ; Peiwu SHI ; Qunhong SHEN ; Chaoyang ZHANG ; Zheng CHEN ; Chuan PU ; Lingzhong XU ; Zhaohui GONG ; Tianqiang XU ; Panshi WANG ; Chao HAO ; Zhi HU ; Mo HAO ; Hua WANG ; Chengyue LI
Shanghai Journal of Preventive Medicine 2026;38(2):146-152
ObjectiveTo evaluate the public health governance capacity in Jiangsu Province and provide an optimized pathway for the construction of a “strong, rich, beautiful, and high-quality” new Jiangsu. MethodsA total of 806 policy documents, 658 public information reports, and 148 research literatures related to public health governance capacity in Jiangsu Province from January 1995 to December 2023 were collected. The status of current public health goverance was assessed based on the evaluation criteria suitable for public health systems, and the strengths and the weaknesses of the system were identified. ResultsThe public health governance capability of Jiangsu Province was scored at 738.3 points, ranking 3rd nationally. Maternal health care and emergency response capacities achieved leading positions nationwide, both ranking 2nd. Jiangsu had exhibited a standardized guidance in the strategic level, a well-established management mechanism, an extensive coverage in information collection, and a scientifically established health targets setting. However, bottlenecks remained, including an unclear division of responsibilities across organizational departments, an insufficient public-health workforce, the absence of a stable growth mechanism for government funding investment, and difficulties in promptly identifying public needs. ConclusionJiangsu’s public-health system demonstrates leading nationally, yet several components remain underdeveloped. Future efforts should consolidate advantages while addressing weaknesses, further diversify content and forms, establish a stable funding increase mechanism, and clarify departmental functions, thereby providing solid health support for realizing the developmental goals of a “strong, rich, beautiful and high-quality” new Jiangsu.
2.Evaluation of public health governance capacity in Zhejiang Province
Haiyan LI ; Ting CHEN ; Chengyue LI ; Huihui HUANGFU ; Wei WANG ; Qunhong SHEN ; Chaoyang ZHANG ; Zheng CHEN ; Chuan PU ; Lingzhong XU ; Anning MA ; Zhaohui GONG ; Tianqiang XU ; Panshi WANG ; Hua WANG ; Chao HAO ; Zhi HU ; Peiwu SHI ; Mo HAO
Shanghai Journal of Preventive Medicine 2026;38(2):153-158
ObjectiveTo systematically assess the public health governance capacity in Zhejiang Province, to conduct an in-depth analysis of its strengths and weaknesses, so as to provide scientific basis and strategic recommendations for further enhancement. MethodsA systematic collection of policy documents, public information reports, and research literature related to public health governance capacity in Zhejiang Province from 2002 to 2023 was conducted (encompassing a total of 1 263 policy documents, 138 pieces of information reports and 631 research articles). Based on the evaluation criteria suitable for public health systems previously developed by the research team, the basic status and magnitude of change in public health governance capacity in Zhejiang Province was evaluated. Additionally, normative gap analyses were employed to identify the strengths and weaknesses. ResultsZhejiang Province ranked 4th nationwide in terms of public health governance capacity with a score of 733.4 points (1 000.0-point maximum). The province has effectively implemented the principle of health first (scoring 698.5 points in the assessment of health-first strategy implementation) and attached sufficient importance to health-related goals (scoring 658.2 points in the scientific rationality of goal setting). However, the implementation of inter-departmental coordination and incentive mechanisms only scored 178.7 points, the feasibility of management and monitoring mechanisms scored even lower at only 144.0 points, and the coverage of incentive mechanisms scored 286.0 points. ConclusionZhejiang Province has effectively implemented its health first strategy and attached great importance to health targets, but still needs to strengthen cross-departmental coordination mechanisms and health-oriented incentives.
3.Profiling and functional characterization of long noncoding RNAs during human tooth development.
Xiuge GU ; Wei WEI ; Chuan WU ; Jing SUN ; Xiaoshan WU ; Zongshan SHEN ; Hanzhang ZHOU ; Chunmei ZHANG ; Jinsong WANG ; Lei HU ; Suwen CHEN ; Yuanyuan ZHANG ; Songlin WANG ; Ran ZHANG
International Journal of Oral Science 2025;17(1):38-38
The regulatory processes in developmental biology research are significantly influenced by long non-coding RNAs (lncRNAs). However, the dynamics of lncRNA expression during human tooth development remain poorly understood. In this research, we examined the lncRNAs present in the dental epithelium (DE) and dental mesenchyme (DM) at the late bud, cap, and early bell stages of human fetal tooth development through bulk RNA sequencing. Developmental regulators co-expressed with neighboring lncRNAs were significantly enriched in odontogenesis. Specific lncRNAs expressed in the DE and DM, such as PANCR, MIR205HG, DLX6-AS1, and DNM3OS, were identified through a combination of bulk RNA sequencing and single-cell analysis. Further subcluster analysis revealed lncRNAs specifically expressed in important regions of the tooth germ, such as the inner enamel epithelium and coronal dental papilla (CDP). Functionally, we demonstrated that CDP-specific DLX6-AS1 enhanced odontoblastic differentiation in human tooth germ mesenchymal cells and dental pulp stem cells. These findings suggest that lncRNAs could serve as valuable cell markers for tooth development and potential therapeutic targets for tooth regeneration.
Humans
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RNA, Long Noncoding/metabolism*
;
Odontogenesis/genetics*
;
Tooth Germ/embryology*
;
Cell Differentiation
;
Gene Expression Regulation, Developmental
;
Mesoderm/metabolism*
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Tooth/embryology*
;
Gene Expression Profiling
;
Sequence Analysis, RNA
;
Dental Pulp/cytology*
4.Association between blood pressure response index and short-term prognosis of sepsis-associated acute kidney injury in adults.
Jinfeng YANG ; Jia YUAN ; Chuan XIAO ; Xijing ZHANG ; Jiaoyangzi LIU ; Qimin CHEN ; Fengming WANG ; Peijing ZHANG ; Fei LIU ; Feng SHEN
Chinese Critical Care Medicine 2025;37(9):835-842
OBJECTIVE:
To assess the relationship between blood pressure reactivity index (BPRI) and in-hospital mortality risk in patients with sepsis-associated acute kidney injury (SA-AKI).
METHODS:
A retrospective cohort study was conducted to collect data from patients admitted to the intensive care unit (ICU) and clinically diagnosed with SA-AKI between 2008 and 2019 in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database in the United States. The collected data included demographic characteristics, comorbidities, vital signs, laboratory parameters, sequential organ failure assessment (SOFA) and simplified acute physiology scoreII(SAPSII) within 48 hours of SA-AKI diagnosis, stages of AKI, treatment regimens, mean BPRI during the first and second 24 hours (BPRI_0_24, BPRI_24_48), and outcome measures including primary outcome (in-hospital mortality) and secondary outcomes (ICU length of stay and total hospital length of stay). Variables with statistical significance in univariate analysis were included in LASSO regression analysis for variable selection, and the selected variables were subsequently incorporated into multivariate Logistic regression analysis to identify independent predictors associated with in-hospital mortality in SA-AKI patients. Restricted cubic spline (RCS) analysis was employed to examine whether there was a linear relationship between BPRI within 48 hours and in-hospital mortality in SA-AKI patients. Basic prediction models were constructed based on the independent predictors identified through multivariate Logistic regression analysis, and receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive performance of each basic prediction model before and after incorporating BPRI.
RESULTS:
A total of 3 517 SA-AKI patients admitted to the ICU were included, of whom 826 died during hospitalization and 2 691 survived. The BPRI values within 48 hours of SA-AKI diagnosis were significantly lower in the death group compared with the survival group [BPRI_0_24: 4.53 (1.81, 8.11) vs. 17.39 (5.16, 52.43); BPRI_24_48: 4.76 (2.42, 12.44) vs. 32.23 (8.85, 85.52), all P < 0.05]. LASSO regression analysis identified 20 variables with non-zero coefficients that were included in the multivariate Logistic regression analysis. The results showed that respiratory rate, temperature, pulse oxygen saturation (SpO2), white blood cell count (WBC), hematocrit (HCT), activated partial thromboplastin time (APTT), lactate, oxygenation index, SOFA score, fluid balance (FB), BPRI_0_24, and BPRI_24_48 were all independent predictors for in-hospital mortality in SA-AKI patients (all P < 0.05). RCS analysis revealed that both BPRI showed "L"-shaped non-linear relationships with the risk of in-hospital mortality in SA-AKI patients. When BPRI_0_24 ≤ 14.47 or BPRI_24_48 ≤ 24.21, the risk of in-hospital mortality in SA-AKI increased as BPRI values decreased. Three basic prediction models were constructed based on the identified independent predictors: Model 1 (physiological indicator model) included respiratory rate, temperature, SpO2, and oxygenation index; Model 2 (laboratory indicator model) included WBC, HCT, APTT, and lactate; Model 3 (scoring indicator model) included SOFA score and FB. ROC curve analysis showed that the predictive performance of the basic models ranked from high to low as follows: Model 3, Model 2, and Model 1, with area under the curve (AUC) values of 0.755, 0.661, and 0.655, respectively. The incorporation of BPRI indicators resulted in significant improvement in the discriminative ability of each model (all P < 0.05), with AUC values increasing to 0.832 for Model 3+BPRI, 0.805 for Model 2+BPRI, and 0.808 for Model 1+BPRI.
CONCLUSIONS
BPRI is an independent predictor factor for in-hospital mortality in SA-AKI patients. Incorporating BPRI into the prediction model for in-hospital mortality risk in SA-AKI can significantly improve its predictive capability.
Humans
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Acute Kidney Injury/mortality*
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Sepsis/complications*
;
Retrospective Studies
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Hospital Mortality
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Prognosis
;
Blood Pressure
;
Intensive Care Units
;
Male
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Female
;
Length of Stay
;
Middle Aged
;
Aged
;
Adult
;
Logistic Models
5.The Role of VSD in Enhancing the Biological Environment of Scarred Skin Incisions in Valve Replacement: A Clinical Study on Postoperative Outcomes in Patients with Extensive Burns and Cardiac Valve Neoplasms.
Wei LIU ; Ting HE ; Yang CHANG ; Long Long YANG ; Chuan-An SHEN
Biomedical and Environmental Sciences 2025;38(3):394-399
6.Associations of Genetic Risk and Physical Activity with Incident Chronic Obstructive Pulmonary Disease: A Large Prospective Cohort Study.
Jin YANG ; Xiao Lin WANG ; Wen Fang ZHONG ; Jian GAO ; Huan CHEN ; Pei Liang CHEN ; Qing Mei HUANG ; Yi Xin ZHANG ; Fang Fei YOU ; Chuan LI ; Wei Qi SONG ; Dong SHEN ; Jiao Jiao REN ; Dan LIU ; Zhi Hao LI ; Chen MAO
Biomedical and Environmental Sciences 2025;38(10):1194-1204
OBJECTIVE:
To investigate the relationship between physical activity and genetic risk and their combined effects on the risk of developing chronic obstructive pulmonary disease.
METHODS:
This prospective cohort study included 318,085 biobank participants from the UK. Physical activity was assessed using the short form of the International Physical Activity Questionnaire. The participants were stratified into low-, intermediate-, and high-genetic-risk groups based on their polygenic risk scores. Multivariate Cox regression models and multiplicative interaction analyses were used.
RESULTS:
During a median follow-up period of 13 years, 9,209 participants were diagnosed with chronic obstructive pulmonary disease. For low genetic risk, compared to low physical activity, the hazard ratios ( HRs) for moderate and high physical activity were 0.853 (95% confidence interval [ CI]: 0.748-0.972) and 0.831 (95% CI: 0.727-0.950), respectively. For intermediate genetic risk, the HRs were 0.829 (95% CI: 0.758-0.905) and 0.835 (95% CI: 0.764-0.914), respectively. For participants with high genetic risk, the HRs were 0.809 (95% CI: 0.746-0.877) and 0.818 (95% CI: 0.754-0.888), respectively. A significant interaction was observed between genetic risk and physical activity.
CONCLUSION
Moderate or high levels of physical activity were associated with a lower risk of developing chronic obstructive pulmonary disease across all genetic risk groups, highlighting the need to tailor activity interventions for genetically susceptible individuals.
Humans
;
Pulmonary Disease, Chronic Obstructive/epidemiology*
;
Exercise
;
Male
;
Female
;
Middle Aged
;
Prospective Studies
;
Aged
;
Genetic Predisposition to Disease
;
Risk Factors
;
United Kingdom/epidemiology*
;
Incidence
;
Adult
7.Study on Colorimetric Sensor Array Based on Enzymatic Method for Highly Selective Detection of Sarin
Lian-Bo JIANG ; Guo-Hong LIU ; Zhuang-Hu XU ; Jian LI ; Yong-Ling SHEN ; Cai-Xia XU ; Chuan-Qin ZANG ; Yan-Hua XIAO ; Dan-Ping LI ; Ting LIANG
Chinese Journal of Analytical Chemistry 2025;53(5):832-841,中插21-中插23
Sarin(GB)is a typical representative of nerve agents with high toxicity,and very low amount can cause death.GB can cause water and atmospheric environment poisoning,so the detection of GB in water and air is of great significance.In this work,a colorimetric sensor array(CSA)based on GB inhibition of cholinesterase activity was constructed to detect GB with high selectivity.A 4×4 colorimetric array was constructed using acetylcholinesterase(AChE),butyryl cholinesterase(BuChE)and the corresponding substrate acetylthiocholine iodide(S-ACh),butyryl thiocholine iodide(S-BCh),acetylcholine chloride(ACh),butyryl choline chloride(BCh)and 2,6-dichloroindophenol ethyl ester(DCIE).The linear curve of the sensor was Y=131.3×lgC+271.6(R2=0.997),where Y was the array response Euclidean distance,C was the concentration of GB(mg/L),the linear range was 0.03?0.32 mg/L,and the detection limit was 27.6 μg/L.The method could effectively distinguish chemical warfare agents(CWA)such as VX,Soman(GD),mustard gas(HD),Louie reagent(L),and had high anti-interference ability,sensitivity and good repeatability.It was successfully applied to the detection of GB in simulated water and simulated air samples,and the sample recovery rate was 97.2% ?100.9%.This method would be potentially applied to the field rapid detection of nerve agents.
8.Rapid Analysis of Cyanide Based on a Ratiometric Fluorescent Probe Using Gold Nanoclusters-Fluorescein
Tai-Shen HE ; Zhong-Jiang LÜ ; Yi-Ming SUN ; Yu-Yang LI ; Yi YE ; Yao LIN ; Lin-Chuan LIAO
Journal of Forensic Medicine 2025;41(4):340-347
Objective To establish a rapid analysis method for cyanide based on a ratiometric fluores-cent probe,providing a quantitative strategy for on-site visual and rapid detection of cyanide.Methods A dual-emission ratiometric fluorescent probe(AuNCs-FL)was constructed by using bovine serum al-bumin(BSA)-stabilized gold nanoclusters(AuNCs,fluorescence emission at 660 nm)as the responsive signal unit and fluorescein(FL,emission at 515 nm)as the internal reference.Results The etching effect of cyanide on AuNCs resulted in fluorescence quenching at 660 nm,while the fluorescence inten-sity of FL at 515 nm remained unchanged,enabling a rapid response analysis of cyanide shift from red to green fluorescence.The developed probe enabled rapid analysis of cyanide within 3 min,with a limit of detection(LOD)of 3.4 mg/L and a visual detection range of 10-100 mg/L.Conclusion The AuNCs-FL fluorescent probe is structurally simple,low-cost,and easy to operate,delivering rapid and accurate results.It also avoids the interference from sulfides encountered in commercial cyanide test kits,making it suitable for the on-site rapid detection of suspected powder samples in cyanide poisoning cases.
9.Clinical Observation and Mechanism Study of Xu's Shenqi Yizhu Decoction Combined with Chemotherapy in the Treatment of Cancer-related Fatigue of Stagnated-toxin Spleen Deficiency Type in Postoperative Gastric Cancer Patients
Zhixiang SHEN ; Weimin LU ; Chuan SHI ; Mengwei YE ; Mengyuan LEI ; Ziyun LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(8):143-151
ObjectiveTo evaluate the clinical efficacy of Xu's Shenqiyizhu (SQYZ) decoction combined with chemotherapy in the treatment of cancer-related fatigue (CRF) of stagnated-toxin spleen deficiency type after gastric cancer surgery and explore its possible mechanism. MethodsFifty postoperative gastric cancer patients with CRF of stagnated-toxin spleen deficiency type were selected and randomly divided into an experimental group and a control group by using a random number table,with 25 cases in each group. The control group was treated with FLOT chemotherapy (50 mg·m-2 docetaxel (iv drip on day 1) + 85 mg·m-2 oxaliplatin (iv drip on day 1) + 200 mg·m-2 calcium folinate (iv drip on day 1) + 2 600 mg·m-2 fluorouracil (iv drip for 24 h on day 1),once every three weeks) and basic and symptomatic supportive treatment. The experimental group was treated with Xu's SQYZ decoction (decocted twice,200 mL taken orally twice a day) in addition to the treatment of the control group. One course of treatment lasted for three weeks,with a total of four courses conducted. Observation was performed on the piper fatigue scale (PFS) scores,karnofsky performance status (KPS) scores,European Organization for Research and Treatment of cancer quality of life questionnaire (EORTC QLQ-C30) scores,traditional Chinese medicine syndrome scores,and serum levels of tumor necrosis factor-α (TNF-α),interferon-γ (IFN-γ),and interleukin-6 (IL-6)detected via enzyme linked immunosorbent assay (ELISA) before and after treatment in the two groups. The safety test results before and after treatment for the two groups of patients,as well as the occurrence of adverse events during treatment, were recorded. Transcriptome sequencing data of peripheral blood samples from gastric adenocarcinoma patients and normal individuals were downloaded from the gene expression omnibus (GEO) database,and differentially expressed genes between the tumor and normal groups were identified. Differential gene enrichment analysis was made based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO). The CRF relevance scores of genes were retrieved from the GeneCards database. Results① Compared with that before treatment,the total PFS score in the experimental group was significantly reduced (P<0.05). Compared with the control group after treatment,the experimental group showed significantly reduced total PFS score (P<0.05). ② Compared with that before treatment,the KPS score in the experimental group decreased significantly (P<0.05). Compared with the control group after treatment,the experimental group exhibited a significantly decreased KPS score (P<0.05). The experimental group demonstrated significantly increased functional scores (physical function,role function,emotional function,social function,and overall health) (P<0.05) and significantly reduced symptom scores (fatigue,shortness of breath,loss of appetite,constipation,and diarrhea) of the EORTC QLQ-C30 scale after treatment compared with before treatment. Compared with the control group after treatment,the experimental group presented significantly increased functional scores (physical function,emotional function,social function,and overall health) (P<0.05) and significantly reduced symptom scores (fatigue,nausea and vomiting,shortness of breath,loss of appetite,and diarrhea) of the EORTC QLQ-C30 scale (P<0.05). Compared with those before treatment,the traditional Chinese medicine syndrome scores (eating too little and poor digestion,fatigue and weakness,postprandial bloating,abnormal bowel movements,lassitude and weakness,and total score) in the experimental group were significantly reduced (P<0.05). Compared with the control group after treatment,the experimental group had significantly reduced traditional Chinese medicine syndrome scores (eating too little and poor digestion,fatigue and weakness,nausea and vomiting,and sallow complexion) (P<0.05), which indicated better efficacy in the experimental group than in the control group (χ2=7.996,P<0.05). The serum levels of TNF-α,IL-6,and IFN-γ were significantly correlated with each other (P<0.01). Compared with those before treatment,the levels of serum cytokines TNF-α,IL-6,and IFN-γ in the experimental group were significantly reduced (P<0.05). Compared with the control group after treatment,the experimental group showed significantly reduced serum levels of cytokines TNF-α,IL-6,and IFN-γ (P<0.05). ③ There were no significant intra-group and inter-group differences in the safety test results of the two groups before and after treatment. During the treatment period,there was no significant difference in the incidence of adverse reactions between the two groups of patients. ④ Compared with the normal group,the tumor group exhibited a total of 328 significantly up-regulated genes in the peripheral blood (P<0.05),and KEGG and GO analyses showed that they were significantly enriched in signaling pathways such as TNF (P<0.05). ⑤ TNF,IL6,IFNG, and other cytokine encoding genes may be key pathogenic genes for CRF. ConclusionXu's SQYZ decoction can alleviate symptoms such as fatigue in postoperative chemotherapy patients with gastric cancer and improve their functional status and quality of life. Its mechanism may be related to improving cytokine imbalance.
10.Risk factors and prediction model construction of bacterial infection after gastroscopy in patients with cirrhosis and gastroesophageal varices
Xiangyu FANG ; Chuan SHEN ; Luyuan MA ; Yuexia LIU ; Chun LIU ; Caiyan ZHAO
Chinese Journal of Infectious Diseases 2025;43(8):457-464
Objective:To analyze the risk factors of bacterial infection in patients with liver cirrhosis complicated with gastroesophageal varices after gastroscopy, and to construct a prediction model.Methods:Patients with gastroesophageal varices due to cirrhosis who underwent gastroscopy in the Third Hospital of Hebei Medical University from January 2021 to May 2023 were enrolled. All patients were divided into infection group and non-infection group according to whether bacterial infection occurred after gastroscopy. The detection of pathogens in the infection group and the source of specimens were analyzed. Multivariate binary logistic regression was used to analyze the risk factors of postoperative bacterial infection in patients with cirrhosis and gastroesophageal varices. The nomogram was drawn by R language to construct a risk prediction model. Receiver operator characteristic curve (ROC curve), calibration curve, Hosmer-Lemeshow test and decision curve were used to evaluate the model.Results:Among the 480 patients, 57 had postoperative bacterial infection and 423 had no infection. The incidence of infection was 11.88%(57/480). Seventy bacterial culture positive samples were obtained, mainly from blood and respiratory tract (30 samples (42.86%) and 25 samples (35.71%), respectively). A total of 82 strains of pathogenic bacteria were isolated, including 16 strains of Escherichia coli and 14 strains of Staphylococcus aureus. Multivariate binary regression analysis showed that length of hospital stay (odds ratio ( OR)=1.13, 95% confidence interval ( CI) 1.06 to 1.20, P<0.001), age ( OR=1.06, 95% CI 1.02 to 1.10, P=0.006), model for end-stage liver disease combined with sodium (MELD-Na) score ( OR=1.10, 95% CI 1.02 to 1.18, P=0.014), diabetes ( OR=1.25, 95% CI 1.07 to 1.96, P=0.043) and emergency gastroscopy ( OR=2.95, 95% CI 1.20 to 7.25, P=0.019) were independent risk factors for bacterial infection after gastroscopy in patients with cirrhosis and gastroesophageal varices. Based on the above risk factors, a nomogram prediction model was constructed. The results of ROC curve analysis showed that the area under the curve of the nomogram model for predicting bacterial infection after gastroscopy of gastroesophageal varices in cirrhosis was 0.82 (95% CI 0.73 to 0.90). The slope of the calibration curve was 0.98(95% CI 0.92 to 1.04), indicating that the predicted probability of the model was in good agreement with the actual probability. The results of Hosmer-Lemeshow test showed that the nomogram model fitted well ( χ2=6.35, P=0.415). The decision curve analysis showed that the clinical net benefit rate of the nomogram model was >0 when the threshold probability was 0.039 to 0.410. Conclusions:Older age, length of hospital stay, MELD-Na score, history of diabetes, and emergency gastroscopy are independent risk factors for bacterial infection after gastroscopy in patients with cirrhosis and gastroesophageal varices. The prediction model constructed in this study has a good predictive value for bacterial infection in such patients.

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