Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

Objective To investigate the bioequivalence of gliclazide sustained-release tablets in Chinese healthy subjects.Methods The study was designed using a single-center,open,randomized,single-dose,two-cycle,two-sequence administration method;subjects were orally administered the test/reference preparation 30 mg on an fasting or fed conditions,with self-cross-dosing.The concentration of gliclazide in human plasma was determined by liquid chromatography tandem mass spectrometry(LC-MS/MS)method.The main pharmacokinetic parameters of gliclazide(Cmax,AUC0-t and AUC0-∞)were analyzed by non-atrioventricular model of WinNonlin.Result In the fasting study,24 subjects were recruited and 22 completed the study.The main pharmacokinetic parameters of gliclazide sustained-release tablets test preparation and reference preparation in the fasting group were as follows:Cmax were(862.48±294.48)and(902.96±259.09)ng·mL-1;AUC0-t were(2.60 × 104±8 930.46)and(2.50 ×104±7 573.42)h·ng-1·mL-1;AUC0-∞ were(3.00 × 104±1.43 × 104)and(2.68 × 104±7 085.99)h·ng·mL-1.In the fed study,twenty-four subjects were enrolled and 23 completed the study.The main pharmacokinetic parameters of gliclazide sustained-release tablets test preparation and reference preparation in fed group:Cmax were(1 531.74±273.49)and(1 510.87±241.08)ng·mL-1;AUC0-t were(2.78 ×104±9 565.89)and(2.76 ×104±9 821.43)h·ng·mL-1;AUC0-∞ were(3.02 ×104±1.24 ×104)and(3.02 × 104±1.30 × 104)h·ng·mL-1 h·ng·mL-1.The 90％confidence intervals of the geometric mean ratios of Cmax,AUC0-t,AUC0-∞ for the test preparation and reference preparation gliclazide sustained-release tablets were all between 80％and 125％.Conclusion The test and the reference preparation of gliclazide sustained-release tablets are bioequivalent in Chinese healthy subjects.

Evaluate the interventional effect of Lycium barbarum leaves extract on cataract rats and its effects on plasma and liver tissue metabolites. The ultimate goal is to explore the scientific connotation of Lycium barbarum leaves extract on vision improvement. All experiments were approved by the experimental animal ethics committee from Nanjing University of Chinese Medicine (202306A067). D-Galactose (D-gal) induced cataract model in rats was established. The lens opacity, lens and liver tissue pathology, level of oxidative stress and polyol metabolism regulation in the lens, level of oxidative stress in serum and liver tissue, and the content of inflammatory cytokines such as tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in serum and liver tissue were analysed to evaluate the effect of Lycium barbarum leaves extract on cataract. The metabolite profiles of plasma and liver tissue of rats were analyzed by UPLC-QTOF-MS/MS. Principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were used to compare and analyze the metabolic data in control group and cataract group, and screen potential biomarkers. The related metabolic pathways were further constructed by KEGG database analysis. The results showed that lens and liver pathology of cataract rats were improved after being intervened by the leaves extract of Lycium barbarum. The contents of AR and Ca²⁺ were significantly decreased in lens, and the contents of SDH and GSH and the ability of CAT were significantly increased; the content of GSH and the ability of SOD were significantly improved in serum and liver tissue, the content of MDA, the abilities of ALT and AST and the level of inflammatory factors were significantly reduced. The metabolomics results showed that there were 15 different metabolites in plasma and liver tissue of cataract rats, and 9 different biomarkers including retinyl ester, stearic acid, and palmitic acid, were returned by Lycium barbarum leaves extract. As revealed by pathway enrichment in plasma and liver tissue, it was found that the retinol metabolic pathway was mainly regulated by Lycium barbarum leaves extract. In summary, Lycium barbarum leaves can effectively alleviate the pathological changes of cataract, inhibit inflammation and improve antioxidant capacity, which may relate to the retinol metabolic pathway. It provides scientific basis and support for revealing the scientific connotation of the effect of Lycium barbarum leaves on vision improvement.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Objective To explore the efficacy and safety of recombinant human anti-severe acute respiratory syn-drome coronavirus 2(anti-SARS-CoV-2)monoclonal antibody injection(F61 injection)in the treatment of patients with coronavirus disease 2019(COVID-19)combined with renal damage.Methods Patients with COVID-19 and renal damage who visited the PLA General Hospital from January to February 2023 were selected.Subjects were randomly divided into two groups.Control group was treated with conventional anti-COVID-19 therapy,while trial group was treated with conventional anti-COVID-19 therapy combined with F61 injection.A 15-day follow-up was conducted after drug administration.Clinical symptoms,laboratory tests,electrocardiogram,and chest CT of pa-tients were performed to analyze the efficacy and safety of F61 injection.Results Twelve subjects(7 in trial group and 5 in control group)were included in study.Neither group had any clinical progression or death cases.The ave-rage time for negative conversion of nucleic acid of SARS-CoV-2 in control group and trial group were 3.2 days and 1.57 days(P=0.046),respectively.The scores of COVID-19 related target symptom in the trial group on the 3rd and 5th day after medication were both lower than those of the control group(both P＜0.05).According to the clinical staging and World Health Organization 10-point graded disease progression scale,both groups of subjects improved but didn't show statistical differences(P＞0.05).For safety,trial group didn't present any infusion-re-lated adverse event.Subjects in both groups demonstrated varying degrees of elevated blood glucose,elevated urine glucose,elevated urobilinogen,positive urine casts,and cardiac arrhythmia,but the differences were not statistica-lly significant(all P＞0.05).Conclusion F61 injection has initially demonstrated safety and clinical benefit in trea-ting patients with COVID-19 combined with renal damage.As the domestically produced drug,it has good clinical accessibility and may provide more options for clinical practice.

The current situation of artificial intelligence(AI)was introduced when applied in the key links of cardiovascular health management such as risk prediction,early screening,clinical decision support and health consultation and education.The deficiencies of AI during the application were analyzed,and the prospects and development directions of AI in cardiovascular health management were pointed out.[Chinese Medical Equipment Journal,2024,45(2):92-96]

Objective To investigate changes in the urinary metabolite profiles of children exposed to polycyclic aromatic hydrocarbons(PAHs)during critical brain development and explore their potential link with the intestinal microbiota. Methods Liquid chromatography-tandem mass spectrometry was used to determine ten hydroxyl metabolites of PAHs(OH-PAHs)in 36-month-old children.Subsequently,37 children were categorized into low-and high-exposure groups based on the sum of the ten OH-PAHs.Ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was used to identify non-targeted metabolites in the urine samples.Furthermore,fecal flora abundance was assessed by 16S rRNA gene sequencing using Illumina MiSeq. Results The concentrations of 21 metabolites were significantly higher in the high exposure group than in the low exposure group(variable importance for projection>1,P<0.05).Most of these metabolites were positively correlated with the hydroxyl metabolites of naphthalene,fluorine,and phenanthrene(r=0.336-0.531).The identified differential metabolites primarily belonged to pathways associated with inflammation or proinflammatory states,including amino acid,lipid,and nucleotide metabolism.Additionally,these distinct metabolites were significantly associated with specific intestinal flora abundances(r=0.34-0.55),which were mainly involved in neurodevelopment. Conclusion Higher PAH exposure in young children affected metabolic homeostasis,particularly that of certain gut microbiota-derived metabolites.Further investigation is needed to explore the potential influence of PAHs on the gut microbiota and their possible association with neurodevelopmental outcomes.