Background Pyrethroid pesticides (PYRs) can cross the placental barrier to cause intrauterine fetal exposure, which may lead to developmental immunotoxicity (DIT). However, the specific effect of maternal PYR exposure during pregnancy on the cellular immune function of 1-year-old children remains unclear. Objective To explore the effect of PYRs exposure throughout the entire pregnancy on peripheral blood lymphocytes in 1-year-old children and potential sensitive window period of PYRs exposure. Methods A birth cohort was established by enrolling pregnant women in their first trimester and following them and their infants until one year of age. Ultra-high performance liquid chromatography-tandem mass spectrometry was used to detect the levels of PYRs metabolites, including 3-phenoxybenzoic acid (3PBA), 4-fluoro-3-phenoxybenzoic acid (4F3PBA), and cis-3-(2,2-dichlorovinyl)-2,2- dimethylcyclopropane carboxylic acid (cis-DBCA), in the urine of pregnant women during the first trimester (gestational weeks 6-12), the second trimester (gestational weeks 21-24), and the third trimester (gestational weeks 33-36). Peripheral blood leukocyte and lymphocyte counts were measured in children at 12 months of age using the Coulter principle combined with flow cytometry. Exposure levels of PYRs metabolites in each trimester were divided into low, moderate, and high exposure groups based on the 25th (P₂₅) and 75th (P₇₅) percentiles. Meanwhile, participants were classified as having repeated high or low exposure if their metabolite levels were > P₇₅ or <P₂₅ in at least two trimesters, respectively, while all others were categorized as having repeated moderate exposure. Generalized linear models were used to analyze the associations between trimester-specific and repeated PYRs metabolite exposure levels and the peripheral blood white blood cell (WBC) and lymphocyte counts in children aged 1 year. Results A total of 336 mother-child pairs were included in this study. For the pregnant women, the total detection rates of maternal urinary 3PBA, 4F3PBA, and cis-DBCA across the three trimesters of pregnancy were 80.5%, 100.0%, and 81.3%, respectively; and median creatinine-corrected concentrations were 0.24, 0.36, and 0.42 μg·g⁻¹, respectively. In children aged 1 year, the mean WBC and lymphocyte counts in peripheral blood were (8.9±2.0)×10⁹·L⁻¹ and (5.7±1.6)×10⁹·L⁻¹, respectively. The results of the generalized linear model analysis indicated that compared to the low exposure group, the high cis-DBCA exposure group during the third trimester of pregnancy had significantly lower peripheral blood WBC count (β=−0.87, 95%CI: −1.51, −0.23) and lymphocyte count (β=−0.64, 95%CI: −1.15, −0.13); and the repeated high-exposure group of cis-DBCA had significantly lower peripheral blood WBC count (β=−1.34, 95%CI: −2.34, −0.34) and lymphocyte count (β=−0.80, 95%CI: −1.60, −0.01) than the repeated low exposure group. Similarly, the repeated moderate-exposure group of cis-DBCA had a significantly lower peripheral blood WBC count (β=−0.83, 95%CI: −1.59, −0.07) than the repeated low exposure group. Conclusion High maternal exposure to PYRs with cis-DBCA as the major metabolite exposure is associated with decreased peripheral leukocyte and lymphocyte counts in children aged 1 year, and repeated high-level exposure throughout gestation appears to exacerbate DIT in offspring. The third trimester of pregnancy maybe a sensitive window for children's DIT induced by exposure to PYRs during pregnancy.

Owing to its inherent advantages—such as being non-destructive, rapid, highly molecule-specific, and minimally interfered with by moisture—Raman spectroscopy has been widely adopted in the fields of skin barrier function assessment, monitoring the transdermal penetration of active cosmetic ingredients, and the identification and quality control of cosmetic products. Despite these strengths, the practical application of this technique faces a significant bottleneck: the strong fluorescence background generated by endogenous skin components and exogenous cosmetic additives. Endogenous skin substances, such as structural proteins (e.g., collagen and elastin), metabolic coenzymes (e.g., nicotinamide adenine dinucleotide), and pigments (e.g., melanin), together with exogenous cosmetic constituents like organic colorants, chemical sunscreens, and fragrances, often possess strong absorption and emission characteristics. When excited by lasers, these components produce a fluorescence background that can be 10⁶ to 10⁸ times stronger than the Raman scattering signals, effectively masking the inherently weak vibrational fingerprint information. In recent years, driven by the rapid development of optoelectronic hardware and artificial intelligence algorithms, fluorescence suppression strategies have evolved from isolated, single-method approaches into comprehensive, multi-level synergistic systems. These systems are categorized into three distinct tiers: sample preparation, signal acquisition, and data processing. At the sample preparation level, techniques such as photobleaching and surface-enhanced Raman spectroscopy (SERS) are employed to eliminate or bypass the generation of fluorescence at the source. At the signal acquisition level, instrumental improvements—including the use of long-wavelength near-infrared excitation (typically 785 nm or 1 064 nm), confocal spatial filtering, and shifted excitation Raman difference spectroscopy (SERDS)— are utilized to physically isolate Raman signals from the fluorescence background. Furthermore, at the data processing level, numerical baseline correction methods such as polynomial fitting, penalized least squares (e.g., airPLS, arPLS), wavelet transform, and derivative algorithms are increasingly integrated into the analytical pipeline to extract Raman spectral features from mixed signals without increasing hardware costs or acquisition time. This review provides a systematic categorization and critical evaluation of these fluorescence suppression methods, detailing their underlying principles, technical advantages, and inherent limitations in diverse experimental setups. By focusing on critical application scenarios—including skin barrier assessment, percutaneous absorption monitoring, the routine quality control of cosmetics, and the emerging field of portable on-site detection—this paper explores the current state of technique selection and optimization. Finally, the article discusses future development trends, emphasizing the necessity of constructing adaptive, tiered suppression strategies, developing intelligent and automated data processing algorithms, and promoting the integration of portable, multi-modal diagnostic devices. The objective of this review is to provide a comprehensive technical reference to facilitate the transition of Raman spectroscopy from a specialized laboratory tool into a routine, robust analytical platform for advancements in skin science and cosmetic research.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective To deeply analyze the free-text comments of patients with cardiovascular disease regarding medical services,in order to identify their concerns and emotional tendencies during the medical journey,and to gain insights into the value elements of medical services from the patient perspective.Methods An open-ended question allowing free-text comments was embedded in the patient satisfaction survey to collect genuine evaluations of medical services from patients hospitalized for cardiovascular disease from Sept 2022 to Jul 2023,forming a large text corpus of patient opinions.Supervised machine learning algorithms and the BERT model were used to conduct topic modeling and sentiment analysis on the text corpus.Logistic regression was employed to analyze the relationship between negative comment themes and patient satisfaction and loyalty.Results A total of 4 693 comments were collected from patients with cardiovascular disease during the study period.The most frequently mentioned subjects in patient comments were nurses(25.1%),followed by doctors(14.9%).Sentiment analysis results showed that 3 592 patients(76.5%)made positive comments,977 patients(20.8%)made negative comments,102 patients(2.2%)made mixed comments,and 22 patients(0.5%)made neutral comments.Topic analysis results indicated that the five most frequently mentioned themes by patients with cardiovascular disease were humanistic care(14.4%),information education and communication(9.0%),technical proficiency(6.6%),diet(6.2%),and effectiveness of diagnosis and treatment(4.2%).Logistic regression analysis showed that negative evaluations of dimensions such as humanistic care,information education and communication and response to needs were significantly associated with lower patients'satisfaction and loyalty.Conclusion Interpersonal interaction and functionality are dual important dimensions in medical services,especially interpersonal interaction,which often becomes the decisive factor for patients with cardiovascular disease to assess the quality of medical services.

Objective To formulate an expert consensus on the puncture of difficult arteriovenous fistula under real-time guidance of ultrasound(hereinafter referred to as the consensus).To standardize the clinical practice of ultrasound-guided puncture of difficult autologous arteriovenous fistula.Methods We conducted a comprehensive literature review of domestic and international publications,integrated clinical nursing experts' practical experience,and followed evidence-based nursing principles to identify the best available evidence.Through expert panel discussions and 3 rounds of Delphi expert consultation,we systematically revised,refined and improved the initial draft of the consensus,ultimately developing the finalized version.Results The response rates of the 3 rounds of Delphi expert correspondence inquiries were all 100％;the authority coefficient of expert correspondence inquiries was 0.97;the mean importance assignment of the 3 rounds of correspondence inquiries was more than 3.50.The Kendall coordination coefficients of the 3 rounds of expert consultation were 0.127,0.120,and 0.201,respectively(P＜0.05),and the degree of coordination of expert opinions was good and the expert opinions were consistent.The consensus summarized 5 aspects,including relevant terms and definitions,indications for real-time ultrasound-guided arteriovenous fistula puncture,personnel qualifications and training,difficult arteriovenous fistula puncture procedures under real-time ultrasound-guided,and nursing quality control.Conclusion The consensus is scientific,which can provide a basis for hemodialysis practitioners to practice the puncture of difficult arteriovenous fistula under real-time guidance of ultrasound.

Objective:To explore the relationship between international collaboration papers and academic impact in global health,using the member universities of the Chinese Consortium of Universities for Global Health(CCUGH)as a case study.Methods:The study focuses on journal articles in global health field published by 31 CCUGH member universities between 2014 and 2024.Descriptive statistical analysis of international and non-international collaboration publication volumes was conducted using Excel.Regression analysis and chi-square tests were performed using R to examine the relationship between international collaboration papers and academic impact,and the correlation between the breadth of collaboration and the academic impact of the papers.Results:From 2014 to 2023,the total number of publications,the number of non-international collaborationpublications,and the number of internationally collaborated publications all showed a consistent annual increase,with average annual growth rates of 56.7%,68.3%,and 41.4%,respectively.By the first half of 2024,the total number of publications had increased to 1.5 times that of the corresponding period in 2023.International collaboration positively influenced academic impact,with broader collaborative networks correlating with higher academic influence.Conclusion:The global health publication output of CCUGH member universities has steadily increased,but the volume of international collaboration papers and their proportion remain relatively low.Therefore,it is necessary for CCUGH member universities to strengthen international collaboration papers in global health.

Objective:To provide novel genetic biomarkers for the diagnosis and treatment of sepsis,bioinformatics analysis was used to screen differentially expressed genes and identify Hub genes in sepsis.Methods:Gene Expression Omnibus(GEO)database was used to retrieve gene expression datasets of sepsis and screen for differentially expressed genes(DEGs).Protein-protein interaction(PPI)network analysis,Gene Ontology(GO)analysis,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were used to clarify the molecular mechanism of DEGs,and Hub genes were screened.Results:A total of 361 DEGs were identified,including 163 up-regulated genes and 198 down-regulated genes.Enrichment analysis revealed that these DEGs were primarily involved in antigen processing and presentation,T cell biology,cell adhesion molecules,and T cell receptor signaling pathways.CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1 were determined as optimal diagnostic biomarkers for sepsis.Conclusions:This study elucidated 10 Hub genes(CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1)as potential biomarkers for the diagnosis and treatment of sepsis.However,since the the generalizability of these Hub genes in patients with sepsis remains unvalidated,further experimental verification is still needed in the future.

Objective:To investigate the early diagnostic value of contrast-enhanced ultrasound(CEUS)combined with serum creatinine(Scr)and urea nitrogen(BUN)in children with renal parenchymal injury caused by urinary tract infections(UTIs).Methods:A total of 120 children with UTIs admitted from January 2020 to January 2025 were selected and divided into a renal parenchymal injury group(n=65)and a non-injury group(n=55)based on the results of 99mTc-DMSA renal static imaging.All children underwent CEUS examination within 24 hours of admission to obtain hemodynamic parameters of the renal cortex and medulla(time-to-peak[TTP],peak intensity[PI],and area under the curve[AUC]),and Scr and BUN levels were measured.Multivariate logistic regression analysis was used to identify independent risk factors,and the diagnostic efficacy was evaluated using receiver operating characteristic(ROC)curves.Results:In the renal parenchymal injury group,Scr(0.82±0.25 vs 0.53±0.15 mg/dL),BUN(16.23±4.82 vs 12.42±3.27 mg/dL),and cortical TTP(51.47±12.38 vs 43.45±12.55 s)were significantly elevated,while cortical PI(32.63±6.37 vs 39.23±7.31 dB)and AUC(2915.36±536.37 vs 3415.35±681.5 dB·s)were significantly decreased(all P＜0.05).Multivariate analysis showed that Scr(OR=6.17),BUN(OR=2.58),cortical TTP(OR=1.98),and PI(OR=0.60)were independent predictors.In the ROC curve analysis,the combination of CEUS parameters(cortical TTP,PI,AUC)with Scr and BUN demonstrated the best diagnostic efficacy(AUC=0.953,sensitivity 87.3％,specificity 90.3％).Conclusion:CEUS can sensitively identify renal parenchymal injury associated with UTIs by dynamically assessing abnormal renal cortical blood perfusion.When combined with Scr and BUN,it significantly improves diagnostic accuracy,providing an important basis for early intervention and renal function protection in children with UTIs.

Objective:To provide novel genetic biomarkers for the diagnosis and treatment of sepsis,bioinformatics analysis was used to screen differentially expressed genes and identify Hub genes in sepsis.Methods:Gene Expression Omnibus(GEO)database was used to retrieve gene expression datasets of sepsis and screen for differentially expressed genes(DEGs).Protein-protein interaction(PPI)network analysis,Gene Ontology(GO)analysis,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were used to clarify the molecular mechanism of DEGs,and Hub genes were screened.Results:A total of 361 DEGs were identified,including 163 up-regulated genes and 198 down-regulated genes.Enrichment analysis revealed that these DEGs were primarily involved in antigen processing and presentation,T cell biology,cell adhesion molecules,and T cell receptor signaling pathways.CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1 were determined as optimal diagnostic biomarkers for sepsis.Conclusions:This study elucidated 10 Hub genes(CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1)as potential biomarkers for the diagnosis and treatment of sepsis.However,since the the generalizability of these Hub genes in patients with sepsis remains unvalidated,further experimental verification is still needed in the future.

Objective:To investigate the early diagnostic value of contrast-enhanced ultrasound(CEUS)combined with serum creatinine(Scr)and urea nitrogen(BUN)in children with renal parenchymal injury caused by urinary tract infections(UTIs).Methods:A total of 120 children with UTIs admitted from January 2020 to January 2025 were selected and divided into a renal parenchymal injury group(n=65)and a non-injury group(n=55)based on the results of 99mTc-DMSA renal static imaging.All children underwent CEUS examination within 24 hours of admission to obtain hemodynamic parameters of the renal cortex and medulla(time-to-peak[TTP],peak intensity[PI],and area under the curve[AUC]),and Scr and BUN levels were measured.Multivariate logistic regression analysis was used to identify independent risk factors,and the diagnostic efficacy was evaluated using receiver operating characteristic(ROC)curves.Results:In the renal parenchymal injury group,Scr(0.82±0.25 vs 0.53±0.15 mg/dL),BUN(16.23±4.82 vs 12.42±3.27 mg/dL),and cortical TTP(51.47±12.38 vs 43.45±12.55 s)were significantly elevated,while cortical PI(32.63±6.37 vs 39.23±7.31 dB)and AUC(2915.36±536.37 vs 3415.35±681.5 dB·s)were significantly decreased(all P＜0.05).Multivariate analysis showed that Scr(OR=6.17),BUN(OR=2.58),cortical TTP(OR=1.98),and PI(OR=0.60)were independent predictors.In the ROC curve analysis,the combination of CEUS parameters(cortical TTP,PI,AUC)with Scr and BUN demonstrated the best diagnostic efficacy(AUC=0.953,sensitivity 87.3％,specificity 90.3％).Conclusion:CEUS can sensitively identify renal parenchymal injury associated with UTIs by dynamically assessing abnormal renal cortical blood perfusion.When combined with Scr and BUN,it significantly improves diagnostic accuracy,providing an important basis for early intervention and renal function protection in children with UTIs.