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.

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.

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.

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.

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.

Objective:Bibliometric analysis was performed to map scientific knowledge landscape, so that to explore the research status and future trends in the field of carbapenem-resistant Gram-negative bacteria (CRGNB) over the past decade.Methods:Literature on CRGNB published between January 1st, 2015 and December 31st, 2024 was retrieved from the China National Knowledge Internet (CNKI) database and Web of Science Core Collection (WoSCC). VOSviewer and CiteSpace were used for bibliometric analysis.Results:A total of 3 340 Chinese and 10 761 English publications were included in this study. The annual Chinese publications remained stable, while English publications exhibited a linear growth. It was anticipated that the English publications would decline in the forthcoming years, although remaining high. China contributed the highest number of publications, and Zhejiang University was the institution with the largest number of publications. Bonomo RA, Chen L, etc. were high-impact authors in the field of CRGNB and had formed a stable cooperative group. Antimicrobial Agents and Chemotherapy was the journal with the largest number of publications. High-frequency keywords in the domain of CRGNB were comprehensively categorized into four distinct clusters, including carbapenem resistance mechanisms and gene transmission, antimicrobial drugs and combination therapy, management of critically ill patients, and infections and colonization. It was imperative to acknowledge the significance of all of these research areas. Burst word analysis suggested that carbapenem-resistant Enterobacterales virulence genes as well as new isoforms of Klebsiella pneumoniae carbapenemase (KPC) had become a research hotspot. Conclusions:The issue of carbapenem resistance remains a significant concern. Current research focus on the resistance mechanisms and antimicrobial agents, highlighting its significant academic advancement and practical applications. Fostering international collaboration through academic exchanges between research teams worldwide is imperative to establish robust cooperative relationships, facilitate multidisciplinary cooperation, and promote high-quality research.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Objective To investigate the effect of continuous theta burst stimulation-intermittent theta burst stimulation(cTBS-iT-BS)priming protocols with different time intervals on the plasticity of primary motor cortex(M1).Methods A total of 39 healthy young adults were recruited from Changzhou De'an Hospital from March to August,2024.Participants received cTBS-iTBS priming protocols with intervals of 5 minutes,10 minutes and 15 minutes using a randomized crossover design.Motor-evoked potential(MEP)amplitudes in M1 were recorded at baseline(before intervention)and 0 minute,10 minutes,20 minutes and 30 minutes after intervention.Results The main effects of stimulation protocol(F=19.761,P<0.001)and measurement time(F=10.224,P<0.001)were significant.At each time point after intervention,the MEP amplitude was significantly higher under the 10-minute interval than under the 5-minute and 15-minute intervals(t>3.010,P<0.05).Conclusion The 10-minute interval of cTBS-iTBS is more effective on M1 plasticity.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

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 ; RNA, Long Noncoding/metabolism* ; Odontogenesis/genetics* ; Tooth Germ/embryology* ; Cell Differentiation ; Gene Expression Regulation, Developmental ; Mesoderm/metabolism* ; Tooth/embryology* ; Gene Expression Profiling ; Sequence Analysis, RNA ; Dental Pulp/cytology*