OBJECTIVE To provide a scientific basis for the quality evaluation and clinical application of Qingwen hufei granules. METHODS Fourteen batches of Qingwen hufei granules were used as samples to establish high-performance liquid chromatography （HPLC） fingerprints using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 Edition）. The chromatographic peaks were identified and the similarity was evaluated. Cluster analysis （CA）， principal component analysis （PCA）， and orthogonal partial least squares-discriminant analysis （OPLS-DA） were used to conduct chemical pattern recognition analysis on the 14 batches of samples. Meanwhile， the contents of neochlorogenic acid （NGA）， chlorogenic acid （CHA）， cryptochlorogenic acid （CGA）， forsythoside A （FTA）， 3，5-O-dicaffeoylquinic acid （3，5-O- DA）， 4，5-O-dicaffeoylquinic acid （4，5-O-DA）， and angoroside C （AGC） in the samples were determined by HPLC. RESULTS The methodological investigation results of both the fingerprint and the content determination complied with the relevant requirements. Fourteen common peaks were indicated in the HPLC fingerprints of the 14 batches of samples， and 7 of them were identified [NGA （peak 2）， CHA （peak 3）， CGA （peak 5）， FTA （peak 11）， 3，5-O-DA （peak 12）， 4，5-O-DA （peak 13）， and AGC （peak 14）]； the similarity of each sample was greater than 0.94. The results of CA and PCA showed that the samples could be classified into 3 categories； the results of OPLS-DA indicated that peak 4 （unknown）， peak 11 （FTA）， peak 8 （unknown）， peak 9 （unknown）， and peak 1 （unknown） were the differential components. The content ranges of NGA， CHA， CGA， 3，5-O-DA， FTA， 4，5-O-DA and AGC in the 14 batches of samples were 0.210 4-0.458 7， 0.269 1-0.506 3， 0.228 1-0.461 1， 0.443 9-1.044 6， 0.066 7-0.155 7， 0.062 8-0.143 8， and 0.057 4-0.105 7 mg/g， respectively. CONCLUSIONS The HPLC fingerprint and multi-component content determination methods established in this study are efficient and reliable， and can be used for the quality evaluation of Qingwen hufei granules.

Objective:To analyze the epidemiological characteristics and infection sources of cholera in China from 2005 to 2024.Methods:A total of 2 066 cholera cases were included in the study, which were obtained from the China Disease Control and Prevention Information System (CDPCIS) of China CDC. The information on cholera clusters was downloaded from the National Public Health Emergency Event Surveillance System (PHEESS) of China CDC. A total of 128 cholera clusters were included and analyzed in this study. The epidemiological characteristics and infection sources of cholera were analyzed. The Jointpoint model was applied to analyze the incidence trend, and annual percentage change (APC) was also quantified.Results:From 2005 to 2024, a total of 2 066 cholera cases were reported, with an average of 103 cases reported annually. Specifically, the incidence showed a marked downward trend from 2004 to 2015 ( APC=-26.78%, P=0.006). During 2015-2024, the disease remained at low endemic levels, with an average of 18 reported cases annually ( APC=-2.68%, P=0.807). Cholera peak season was from May to October. A total of 24 provinces reported cholera cases, which were mainly distributed in Zhejiang, Fujian, Beijing, Jiangsu, Anhui, Guangdong, and Hainan provinces, accounting for 78.03% of the total cases. Pathogen surveillance indicated an alternating prevalence of Vibrio cholerae serogroups O1 and O139 among laboratory-confirmed cases between 2005 and 2024. There was a disparity in the dominant serogroup of Vibrio cholerae by region. The results from 128 cholera clusters indicated that cholera outbreaks frequently occurred in rural banquets (64.84%), followed by regular restaurants (13.28%). Among these, 63 clusters (49.22%) with identified infection sources indicated that foodborne transmission (95.24%) was the primary mode of cholera transmission, which mainly through seafood and aquatic products, such as soft-shelled turtles, shrimp and shellfish. The characteristics of cholera clusters caused by Vibrio cholerae serogroups O1 and O139 showed statistically significant differences in scale, attack rate, place of residence, setting, and infection source ( P<0.05). Conclusion:Cholera incidence has remained consistently low since 2015 in China, mainly in sporadic cases. Rural gatherings (e.g., wedding banquets) are the main settings for cholera clusters. The main infection sources are predominantly caused by cross-contamination due to improper processing practices of aquatic products, such as soft-shelled turtles.

Objective A scoping review of studies related to the burden on family carers of haemodialysis patients was conducted with the aim of comprehensively dissecting the current state of research in this area and informing subsequent studies.Methods A scope review reporting framework was used to search the CNKI,China Biomedical Literature Database,Vip Database,Wanfang Database,Chinese Medical Journal Full Text Database,PubMed,CINAHL,Web of Science,Cochrane Library,Scopus,and Embase,with a timeframe for searching the database from its construction to 29 March 2025.The included literature was summarised and analysed.Results A total of 25 papers were included,of which 21 reported scores/incidence of family carer burden,with overall results dominated by mild to moderate burden,involving 5 tools for assessing family carer burden,influencing factors(including demographic,disease-related,psychosocial,economic social,caregiving factors)and 6 other aspects.Intervention covers peer support groups,the 5-A model of self-management,health behaviours teaching,problem-focused strategies,etc.Conclusion The burden of family caregivers of haemodialysis patients at home and abroad is a common problem,which is affected by many factors,and it is urgent to carry out multi-centre,large-sample longitudinal studies and family-centred intervention studies in the future,so as to reduce the adverse effects of the burden of family caregivers,and to improve the patients' adherence to the treatment as well as the physical and mental health of the family caregivers.

Objective To explore the value of spectral CT multi-parameter imaging for diagnosing bronchial anthracofibrosis(BAF)complicated with active pulmonary tuberculosis.Methods Totally 77 patients with BAF complicated with atelectasis were retrospectively enrolled.According to undergoing anti-tuberculosis treatment or not during hospitalization,26 patients complicated with active pulmonarg tuberculosis were divided into group A(n=26),while 51 cases without active pulmonarg tuberculosis were divided into group B.Signs indicating active pulmonary tuberculosis(i.e.tree-in-bud sign or centrilobular nodules)on chest spectral CT images were analyzed.Non-enhanced CT(NECT)values,single-energy CT values at 40 keV(CT40 kev)and 70 keV(CT70 kev),as well as effective atomic number(Zeff),iodine concentration(IC),calcium concentration(CC)and hydroxyapatite concentration(HAP)in the arterial phase and venous phase of enhancement at the site of bronchial obstruction and in subcarinal lymph nodes were measured.the slope of spectral line(λ40-70keV)was calculated and compared between groups.Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was used to evaluate the efficacy of the above parameter alone and their combinations for diagnosing BAF complicated with active pulmonarg tuberculosis.Results The displaying rate of active pulmonary tuberculosis CT signs in group A was higher than that in group B(P=0.005).NECT values,enhanced venous phase CT40kev,λ40-70 kev,as well as Zeff,IC,CC and HAP at the site of bronchial obstruction in group A were all lower than those in group B(all P＜0.05).The AUC of active pulmonary tuberculosis CT signs for assessing BAF complicated with active pulmonary tuberculosis was 0.659,of the combination of CT quantitative parameters at the site of bronchial obstruction was 0.769,while of the combination of CT signs and CT quantitative parameters was 0.825,higher than of active pulmonary tuberculosis CT signs alone(P＜0.05).Conclusion Spectral CT multi-parameter imaging could be used to effectively diagnose BAF complicated with active pulmonary tuberculosis.

Objective:To construct a biosafety evaluation index system for major emergency public health events in medical institutions.Methods:Based on previous laboratory biosafety evaluation work, relevant regulations and standards on biosafety in China were collected through literature research and expert consultations. Candidate indicators for constructing the biosafety evaluation system for major emergency public health events in medical institutions were selected, and a framework was established. Two rounds of expert questionnaires were conducted to determine the content of the index system based on experts′ evaluation, and each indicator′s relevance and importance were scored. Finally, two rounds of Delphi consultations were carried out, and the Analytic Hierarchy Process (AHP) was applied to calculate the weights of indicators.Results:The response rates for the total four rounds of questionnaire surveys were all 100%. The first two rounds focused on determining the framework, while the latter two focused on determining the weights for each indicator. The authority coefficients of the expert consultations for the two rounds of weights were 0.65 and 0.70, respectively, indicating the reliability of the research results. In the final round of survey, the Kendall′s coefficients of concordance at each level were all greater than 0.1. Through statistical testing, the P-values were all less than 0.05, indicating good coordination of expert opinions. Ultimately, we established an operational biosafety evaluation system for major emergency public health events in medical institutions, consisting of 4 primary indicators, 26 secondary indicators, and 119 tertiary indicators, with additional deduction items, bonus items, unacceptable items, and monitoring indicators.Conclusions:Based on scientific theory, a biosafety evaluation system for major emergency public health events in medical institutions was constructed, achieving the integration of routine and emergency measures. This system can be used for self-assessment of laboratory biosafety during emergency public health events, addressing the lack of unified standards in biosafety evaluation. Through regular self-assessment, it can enhance the level of biosafety management in medical institution laboratories, to realize the value of application and dissemination.

As a common syndrome type in TCM,blood stasis syndrome is diagnosed based on the four diagnostic methods of TCM,with inspection providing especially intuitive information.In recent years,with the advancement of objectification studies on the four diagnostic methods,inspection techniques for blood stasis syndrome have gradually transitioned from qualitative to quantitative analysis.This article reviewed recent progress in modern research on multi-region inspection for blood stasis syndrome,including facial complexion,tongue characteristics,sublingual collateral vessels,and microcirculation signs.Multi-region inspection technology has progressively established standardized acquisition protocols integrated with artificial intelligence technology,achieving a transition from qualitative to quantitative analysis.These region-specific data demonstrate clear associations with cardiovascular and metabolic diseases,supporting diagnostic objectification of blood stasis syndrome.However,further efforts remain necessary to expand clinical samples,integrate macro-micro data,standardize quantitative criteria,and establish collaborative diagnostic criteria for precise syndrome differentiation.

Cholesterol(CH)plays a crucial role in enhancing the membrane stability of drug delivery systems(DDS).However,its association with conditions such as hyperlipidemia often leads to criticism,overshadowing its influence on the biological effects of formulations.In this study,we reevaluated the delivery effect of CH using widely applied lipid microspheres(LM)as a model DDS.We conducted comprehensive in-vestigations into the impact of CH on the distribution,cell uptake,and protein corona(PC)of LM at sites of cardiovascular inflammatory injury.The results demonstrated that moderate CH promoted the accumulation of LM at inflamed cardiac and vascular sites without exacerbating damage while partially mitigating pathological damage.Then,the slow cellular uptake rate observed for CH@LM contributed to a prolonged duration of drug efficacy.Network pharmacology and molecular docking analyses revealed that CH depended on LM and exerted its biological effects by modulating peroxisome proliferator-activated receptor gamma(PPAR-γ)expression in vascular endothelial cells and estrogen receptor alpha(ERα)protein levels in myocardial cells,thereby enhancing LM uptake at cardiovascular inflam-mation sites.Proteomics analysis unveiled a serum adsorption pattern for CH@LM under inflammatory conditions showing significant adsorption with CH metabolism-related apolipoprotein family members such as apolipoprotein A-V(Apoa5);this may be a major contributing factor to their prolonged circu-lation in vivo and explains why CH enhances the distribution of LM at cardiovascular inflammatory injury sites.It should be noted that changes in cell types and physiological environments can also influence the biological behavior of formulations.The findings enhance the conceptualization of CH and LM delivery,providing novel strategies for investigating prescription factors' bioactivity.

OBJECTIVE: To analyze the clinical and genetic features of a child with Primary ciliary dyskinesia (PCD) due to compound heterozygous variants of the CCDC39 gene and a 22q11.21 deletion, and to explore the potential role of the two types of variants in the formation of complex phenotypes. METHODS: A child presented at the Shanxi Children's Hospital in March 2025 due to multiple congenital anomalies was selected as the study subject. Peripheral blood samples were taken from the child and her parents and subjected to whole-exome sequencing (WES). Candidate variants were verified by Sanger sequencing. Effect of splicing variant was predicted using SpliceAI, and pathogenicity was assessed based on the ACMG guidelines. Copy number variation (CNV) analysis was also performed. This study has been approved by the Medical Ethics Committee of the Hospital (Ethics No.: IRB-WZ-2025-019). RESULTS: The patient has exhibited multiple features including severe pneumonia, bronchiectasis, localized pulmonary emphysema, scoliosis, tetralogy of Fallot, and atrial septal defect. Genetic testing revealed that she has harbored compound heterozygous variants of the CCDC39 gene, namely c.1167+1G>A and c.1009A>T, which were inherited from her father and mother, respectively, with the latter being a novel likely pathogenic variant. In addition, a heterozygous deletion of approximately 708 kb at 22q11.21 was detected. CONCLUSION The coexistence of CCDC39 gene variants and a 22q11.21 deletion may underlay the development of complex clinical phenotypes in this child.
Humans ; Female ; Chromosomes, Human, Pair 22/genetics* ; Chromosome Deletion ; DNA Copy Number Variations/genetics* ; Child ; Ciliary Motility Disorders/genetics* ; Exome Sequencing

Objective: To develop a non-invasive predictive model for coronary artery stenosis severity based on adaptive multi-modal integration of traditional Chinese and western medicine data. Methods: Clinical indicators, echocardiographic data, traditional Chinese medicine (TCM) tongue manifestations, and facial features were collected from patients who underwent coronary computed tomography angiography (CTA) in the Cardiac Care Unit (CCU) of Shanghai Tenth People's Hospital between May 1, 2023 and May 1, 2024. An adaptive weighted multi-modal data fusion (AWMDF) model based on deep learning was constructed to predict the severity of coronary artery stenosis. The model was evaluated using metrics including accuracy, precision, recall, F1 score, and the area under the receiver operating characteristic (ROC) curve (AUC). Further performance assessment was conducted through comparisons with six ensemble machine learning methods, data ablation, model component ablation, and various decision-level fusion strategies. Results: A total of 158 patients were included in the study. The AWMDF model achieved excellent predictive performance (AUC = 0.973, accuracy = 0.937, precision = 0.937, recall = 0.929, and F1 score = 0.933). Compared with model ablation, data ablation experiments, and various traditional machine learning models, the AWMDF model demonstrated superior performance. Moreover, the adaptive weighting strategy outperformed alternative approaches, including simple weighting, averaging, voting, and fixed-weight schemes. Conclusion The AWMDF model demonstrates potential clinical value in the non-invasive prediction of coronary artery disease and could serve as a tool for clinical decision support.

Background A diverse cohort of patients and susceptible individuals congregate in healthcare facilities, where exposure to pathogenic microorganisms associated with respiratory infectious diseases constitutes a significant risk factor for cross-infection. Central air-conditioning ventilation systems improve some indoor environment indicators while exacerbating the risk of transmission of respiratory infectious diseases. Objective To investigate the distribution characteristics of microbial communities in the central air-conditioning ventilation systems of hospitals, providing a scientific basis for the selection of microbial indicators in hygiene standards for hospital central air-conditioning ventilation systems and for hospital risk early warning systems. Methods In October 2023, two central air-conditioning ventilation systems were selected from a Grade 3A hospital in Shanghai: one was an all-air air-conditioning system serving the waiting area on the ground floor, and the other was a fan coil plus fresh air system serving the outpatient area on the third floor. Samples from four different components of the ventilation systems—air outlets, filters, surface coolers, and condensate trays—were collected for high-throughput sequencing of the 16S rRNA gene to analyze bacterial communities. Alpha-diversity and beta-diversity analyses were performed to investigate the microbial community composition and diversity characteristics of the hospital central air-conditioning ventilation systems. Functional analysis was conducted to determine the relative abundance of bacterial functions in these systems.Results A total of 528 operational taxonomic units (OTUs) were identified, encompassing 20 bacterial phyla, 37 classes, 79 orders, 123 families, and 240 genera. The analysis revealed that the bacterial community was predominantly composed of Proteobacteria, Gemmatimonadates, Bacteroidetes, and Actinobacteria. The diversity analysis indicated that bacterial community richness and diversity were highest in the condensate trays, while no statistically significant differences (P > 0.05) were observed in the bacterial community composition among the air outlets, filters, and surface coolers. The functional analysis showed that the bacterial communities in the central air-conditioning ventilation systems primarily exhibited chemoheterotrophic, oxidative energy-dependent heterotrophic, and ureolytic functional characteristics. Conclusion The dominance of Proteobacteria suggests that this phylum exhibits strong adaptability in the central air-conditioning ventilation systems, possibly related to its ability to survive and reproduce under varying environmental conditions. The diversity analysis indicates that the condensate tray is a critical area for bacterial proliferation in the central air-conditioning ventilation systems. The similarity in environmental conditions among the air outlets, filters, and surface coolers result in similar bacterial community structures. The functional analysis reveals that the bacterial communities possess robust energy conversion and metabolic capabilities, potentially contributing to processes such as organic matter decomposition and nitrogen cycling within the central air-conditioning ventilation systems.