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.Clinical Phenotype Identification and Validation of Patients with Sepsis in the Intensive Care Unit
Chao GONG ; Na YU ; Haoran CHEN
Medical Journal of Peking Union Medical College Hospital 2025;16(3):710-721
To identify and validate the clinical phenotypes of patients with sepsis in the intensive care unit(ICU). We applied unsupervised machine learning algorithms (K-means clusteringand hierarchical clustering) to identify the phenotypes of sepsis patients in the Medical Information Mart for Intensive Care Ⅳ (MIMIC-Ⅳ) 2.2 database, based on 89 clinical features including demographic characteristics, laboratory indicators and treatment measures on the first day in ICU. Then, supervised machine learning algorithms (lightweight gradient boosting machine) were used for the prediction of the patient's phenotypes, and were further combined with SHAP (Shapely Additive eXplanations) for the identification of important features. Finally, traditional statistical methods were used to validate the differences in clinical characteristics and clinical outcomes among the phenotypes. We identified three phenotypes in 22 517 sepsis patients. The phenotype 1 patients had the highest risk of death (28-day mortality of 46.4%), dominated by abnormal renal function and elevated disease severity scores, while the phenotype 3 patients had the lowest risk of death (28-day mortality of 11.2%), and the best neurological function score. Using interpretable machine learning, we identified six features (all the worst value on the first day) that showed good performance in phenotypic identification(AUC≥0.89) and phenotypic prognostic prediction (AUC≥0.74): anion gap, blood urea nitrogen, creatinine, Glasgow Coma Scale score, prothrombin time, and Sequential Organ Failure Assessment score. The mortality risk of phenotype 3 patients was the lowest at 28 days, 60 days, 90 days, and 1 year after ICU discharge ( Using machine learning methods, we successfully identified three clinical phenotypes of sepsis patients with different clinical characteristics and prognosis and screened out six key clinical features, which are expected to play an important role in the phenotype classification and prognostic assessment of sepsis and are conducive to individualized treatment.
5.A self-cascade nanoCRISPR prompts transcellular penetration to potentiate gene editing and tumor killing.
Chao LIU ; Yangsong XU ; Ning WANG ; Hongyu LIU ; Xi YANG ; Shiyao ZHOU ; Dongxue HUANG ; Yingjie LI ; Yanjie YOU ; Qinjie WU ; Changyang GONG
Acta Pharmaceutica Sinica B 2025;15(11):5933-5944
CRISPR/Cas9-based therapeutics face significant challenges in penetrating the dense microenvironment of solid tumors, resulting in insufficient gene editing and compromised treatment efficacy. Current nanostrategies, which mainly focus on the paracellular pathway attempted to improve gene editing performance, whereas their efficiency remains uneven in the heterogenous extracellular matrix. Here, the nanoCRISPR system is prepared with self-cascading mechanisms for gene editing-mediated robust apoptosis and transcellular penetration. NanoCRISPR unlocks its self-cascade capability within the matrix metallopeptidase 2-enriched tumor microenvironment, initiating the transcellular penetration. By facilitating cellular uptake, nanoCRISPR triggers robust apoptosis in edited malignancies, promoting further transcellular penetration and amplifying gene editing in neighboring tumor cells. Benefiting from self-cascade between robust apoptosis and transcellular penetration, nanoCRISPR demonstrates continuous gene transfection/tumor killing performance (transfection/apoptosis efficiency: 1st round: 85%/84.2%; 2nd round: 48%/27%) and homogeneous penetration. In xenograft tumor-bearing mice, nanoCRISPR treatment achieves remarkable anti-tumor efficacy (∼83%) and significant survival benefits with minimal toxicity. This strategy presents a promising paradigm emphasizing transcellular penetration to enhance the effectiveness of CRISPR-based antitumor therapeutics.
6.Value of serum tryptophan in stratified management of 90-day mortality risk in patients with hepatitis B virus-related acute-on-chronic liver failure: a multicenter retrospective study.
Chao ZHOU ; Jingjing ZHANG ; Qiao TANG ; Shuangnan FU ; Ning ZHANG ; Zhaoyun HE ; Jin ZHANG ; Tianyi ZHANG ; Pengcheng LIU ; Man GONG
Journal of Southern Medical University 2025;45(1):59-64
OBJECTIVES:
To explore the correlation of serum tryptophan level with 90-day mortality risk in patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF).
METHODS:
This retrospective study was conducted among 108 patients with HBV-ACLF, whose survival outcomes within 90 days after diagnosis were recorded. The correlation of baseline serum tryptophan levels measured by high-performance liquid chromatography with 90-day mortality of the patients was analyzed, and the predictive value of serum tryptophan for 90-day mortality was explored.
RESULTS:
Within 90 days after diagnosis, 53 (29.4%) of the patients died and 127 (70.6%) survived. The deceased patients had significantly lower baseline serum tryptophan levels than the survivors (7.31±3.73 pg/mL vs 13.32±7.15 pg/mL, P<0.001). Multivariate analysis suggested that serum tryptophan level was an independent factor correlated with mortality of HBV-ACLF after adjustment for confounding variables. The patients with serum tryptophan levels below the median level (10.14 pg/mL) at admission had significantly higher 90-day mortality risks than those with higher tryptophan levels (43.3% vs 15.6%, HR: 3.157, 95% CI: 1.713-5.817), and the complication by kidney dysfunction further increased the risk to 73.3% as compared with patients with higher serum tryptophan levels with normal kidney function (15.0%; HR: 7.558, 95% CI: 3.369-16.960). Serum tryptophan levels had an area under the receiver operating characteristic curve of 0.771 (95% CI: 0.699-0.844) for predicting 90-day mortality.
CONCLUSIONS
Serum tryptophan level is closely correlated with the survival outcomes of patients with HBV-ACLF, and a decreased tryptophan level indicates a high 90-day mortality risk, which can be further increased by the complication by kidney dysfunction.
Humans
;
Tryptophan/blood*
;
Retrospective Studies
;
Acute-On-Chronic Liver Failure/virology*
;
Male
;
Female
;
Middle Aged
;
Adult
;
Prognosis
;
Hepatitis B/complications*
;
Hepatitis B virus
7.Altered oral microbiome and metabolites are associated with improved lipid metabolism in HBV-infected patients with metabolic dysfunction-associated fatty liver disease.
Jingjing ZHANG ; Song FENG ; Dali ZHANG ; Jian XUE ; Chao ZHOU ; Pengcheng LIU ; Shuangnan FU ; Man GONG ; Hui FENG ; Ning ZHANG
Journal of Southern Medical University 2025;45(9):2034-2045
OBJECTIVES:
To investigate the impact of hepatitis B virus (HBV) infection on oral microbiota and metabolites in patients with metabolic dysfunction-associated fatty liver disease (MAFLD) and the underlying mechanisms.
METHODS:
This prospective study was conducted in 47 MAFLD patients complicated with chronic hepatitis B (CHB) and 48 MAFLD patients without CHB enrolled from November, 2023 to January, 2024. Fasting tongue coating samples were collected from the patients for analyzing microbial community structures and metabolites using high-throughput 16S rDNA sequencing and non-targeted metabolomics techniques, and their associations with clinical indicators and biological pathways were explored using correlation analysis and functional annotation.
RESULTS:
The levels of fasting blood glucose, total cholesterol (TC), gamma-glutamyl transferase (GGT), and severity of fatty liver were all significantly lower in MAFLD+CHB group than in MAFLD group. Microbiota analysis showed that the abundances of Patescibacteria (at the phylum level), Hydrogenophaga, and Absconditabacteriales (at the genus level) were significantly increased, while the abundance of Megasphaera was decreased in MAFLD+CHB group. The differential microbiota were significantly correlated with TC, GGT and low-density lipoprotein (r=-0.68‒0.75). Metabolomics analysis revealed that 469 metabolites (including lipids and amino acids) were upregulated and 2306 (including organic oxygen-containing compounds and phenylpropanoids) were downregulated in MAFLD+CHB group, for which KEGG enrichment analysis suggested abnormal activation of the linoleic acid metabolism and glycerophospholipid metabolism pathways. Correlation analysis between microbiota and metabolites indicated that Patescibacteria and Megasphaera, which were positively correlated with lipid metabolites and negatively with fatty acid metabolites, respectively, jointly affected glycolipid metabolism and oxidative stress pathways.
CONCLUSIONS
Compared to patients with MAFLD alone, MAFLD patients with concurrent chronic HBV infection showed lower levels in some lipid metabolism indicators and the degree of hepatic steatosis, accompanied by alterations in oral microbiota structure and metabolic profiles. The precise mechanisms involved require further investigation to be fully elucidated.
Humans
;
Lipid Metabolism
;
Prospective Studies
;
Microbiota
;
Hepatitis B, Chronic/microbiology*
;
Male
;
Female
;
Adult
;
Fatty Liver/microbiology*
;
Middle Aged
;
Mouth/microbiology*
;
Metabolomics
8.The relationship between plasma IGFBP2,SMOC2 levels and cardiac function and prognosis in patients with chronic heart failure
Yuting DONG ; Xuelian GONG ; Chao QU
Tianjin Medical Journal 2025;53(6):593-598
Objective To explore the relationship between plasma insulin-like growth factor-binding protein 2(IGFBP2),secreted modular calcium-binding protein 2(SMOC2)levels and cardiac function and prognosis in patients with chronic heart failure(CHF).Methods A total of 120 CHF patients(the CHF group)and 60 healthy volunteers undergoing physical examination during the same period(the control group)were enrolled.CHF patients were classified according to the New York Heart Association(NYHA)functional classification into the class Ⅱ(46 cases)group,the class Ⅲ group(42 cases)and the class Ⅳ group(32 cases).Based on the 6-month prognosis,patients were further divided into the poor prognosis group(42 cases)and the good prognosis group(78 cases).Plasma IGFBP2 and SMOC2 levels were measured using enzyme-linked immunosorbent assay.The correlation between plasma IGFBP2 and SMOC2 levels with NYHA functional classification was analyzed using Spearman rank correlation.Multivariate unconditional Logistic regression was used to analyze the relationship between plasma IGFBP2 and SMOC2 levels and poor prognosis in CHF patients.The predictive efficacy of plasma IGFBP2 and SMOC2 levels for CHF prognosis was evaluated using receiver operating characteristic(ROC)curve analysis.Results Compared with the control group,plasma IGFBP2 and SMOC2 levels were significantly higher in the CHF group(P<0.05).Plasma IGFBP2 and SMOC2 levels increased progressively in the class Ⅱ group,the class Ⅲgroup and the class Ⅳ group(P<0.05).Plasma IGFBP2 and SMOC2 levels were positively correlated with NYHA classification of CHF patients(P<0.05).The 6-month poor prognosis rate for the 120 CHF patients was 35.00%(42/120).Compared with the good prognosis group,the plasma IGFBP2 and SMOC2 levels were significantly higher in the poor prognosis group(P<0.05).After adjusting for confounding factors,high levels of IGFBP2 and SMOC2 were independent risk factors for poor prognosis in CHF patients(P<0.05).The area under the curve(AUC)for the combined prediction of poor prognosis in CHF patients by plasma IGFBP2 and SMOC2 levels was 0.899,which was higher than that of plasma IGFBP2(0.800)and SMOC2(0.782)alone(P<0.05).Conclusion The plasma levels of IGFBP2 and SMOC2 in CHF patients are increased,which is related to the decrease of cardiac function and poor prognosis.The combination of plasma IGFBP2 and SMOC2 levels has a high predictive efficiency for the prognosis of CHF patients.
9.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
10.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

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