ObjectiveTo investigate the uric acid-lowering effects and mechanisms of acacetin on hyperuricemia （HUA） in mice. MethodsOteracil potassium and adenine were used to establish the mouse model of HUA. Male Kunming mice （n=48） were randomized into six groups： control， model， low-dose （12.5 mg·kg^-1） acacetin， medium-dose （25 mg·kg^-1） acacetin， high-dose （50 mg·kg^-1） acacetin， and allopurinol （10 mg·kg^-1）. Each group received continuous gavage administration for 21 days. An automatic biochemical analyzer was used to measure the levels of uric acid （UA）， creatinine （Cr）， urea nitrogen （BUN）， alanine aminotransferase （ALT） and aspartate aminotransferase （AST）. Additionally， the activity of xanthine oxidase （XOD） in the liver and the levels of tumor necrosis factor （TNF）-α， interleukin （IL）-1β， and IL-18 in the serum were measured by enzyme-linked immunosorbent assay （ELISA）. Pathological changes in the renal tissue were observed by hematoxylin-eosin （HE） staining. Western blot was employed to determine the levels of glucose transporter 9 （GLUT9）， urate transporter 1 （URAT1）， phospho-NF-κB p65 （p-NF-κB p65）， and nucleotide-binding oligomerization domain-like receptor pyrin domain-containing 3 （NLRP3） in the renal tissue. ResultsCompared with the control group， the model group showed elevated levels of UA， Cr， BUN， ALT， and AST， increased activity of XOD in the liver（P<0.01）， raised levels of TNF-α， IL-1β and IL-18 in the serum（P<0.01）， and significantly up-regulated expression of GLUT9， URAT1， p-NF-κB p65， and NLRP3 in the renal tissue（P<0.01）. Compared with the model group， acacetin reduced the UA level in a dose-dependent manner， significantly improved liver and kidney functions， decreased the XOD activity in the liver， ameliorated the pathological changes in the renal tissue， down-regulated the expression of GLUT9， URAT1， p-NF-κB p65 and NLRP3 in the renal tissue（P<0.01）， and lowered the levels of TNF-α， IL-1β， and IL-18 in the serum（P<0.01）. ConclusionAcacetin can ameliorate HUA by decreasing uric acid production， increasing uric acid excretion， and inhibiting the NF-κB/NLRP3 signaling pathway. Therefore， acacetin may be a potential drug for the treatment of HUA.

Objective: To analyze the etiological surveillance results of influenza-like illness (ILI) cases in Jiangsu Province, and investigate the distribution characteristics of different influenza virus types, so as to provide the evidence for improving influenza prevention and control measures. Methods: Influenza laboratory testing data for sentinel surveillance of ILI cases in Jiangsu Province from 2019 to 2024 were collected through the China Influenza Surveillance Information System. The positive detection rate of influenza virus was calculated, and descriptive analysis was performed to characterize the distribution of different influenza virus types. Using the farthest neighbor linkage method, influenza virus positive detection rates clustering was analyzed by year and week. Clusters were defined based on inter-cluster distance, and the intensity of the positive detection rate was visualized through color gradients in the clustering heatmap. Results: From 2019 to 2024, a total of 183 878 ILI specimens were collected in Jiangsu Province. Among them, 20 059 specimens tested positive for influenza virus, corresponding to an overall positive detection rate of 10.91%, and an average annual positive detection rate of 10.89%. The primary circulating influenza virus types were influenza A H3N2 subtype, accounting for 40.92%, followed by influenza B Victoria linage at 34.00%, and influenza A H1N1 subtype at 24.80%. Influenza B Yamagata linage was not detected throughout the five-year period. Influenza A H3N2 subtype predominated during two distinct periods: from January to March 2019, and from June 2022 to December 2023. Influenz B Victoria linage was the dominant type from April 2019 to May 2022 and again from January to April 2024. Influenza A H1N1 subtype emerged as the primary type from May to December 2024. Year-based clustering analysis grouped the annual positive detection rates from 2019 to 2024 into three clusters. The closest cluster distance was observed between 2019 and 2024. The highest annual positive detection rate occurred in 2023. Both influenza A H3N2 and H1N1 subtype each formed a single cluster, with their peak positive detection rates also recorded in 2023. Influenza B Victoria lineage was separated into two clusters, with its highest positive detection rate occurring in 2020. Week-based clustering analysis revealed that influenza virus detection was concentrated in weeks 47 to 52 and weeks 1 to 15. More specifically, the positive detection rates for influenza A H3N2 subtype peaked during weeks 30 to 34 and weeks 42 to 52; for influenza A H1N1 subtype, during weeks 9 to 15 and weeks 51 to 52; and for influenza B Victoria lineage, during weeks 1 to 11 and weeks 50 to 52. Conclusions From 2019 to 2024, the average annual positive detection rate of influenza virus in Jiangsu Province remained relatively low. Influenza activity characterized by the alternating circulation of influenza A H1N1 subtype, influenza A H3N2 subtype, and influenza B Victoria linage. It is necessary to maintain the surveillance sensitivity for the influenza B Yamagata lineage.

Chronic cerebral hypoperfusion leads to white matter injury (WMI), which plays a significant role in contributing to vascular cognitive impairment. While 13-docosenamide is a type of fatty acid amide, it remains unclear whether it has therapeutic effects on chronic cerebral hypoperfusion. In this study, we conducted bilateral common carotid artery stenosis (BCAS) surgery to simulate chronic cerebral hypoperfusion-induced WMI and cognitive impairment. Our findings showed that 13-docosenamide alleviates WMI and cognitive impairment in BCAS mice. Mechanistically, 13-docosenamide specifically binds to cannabinoid receptor 1 (CNR1) in oligodendrocyte precursor cells (OPCs). This interaction results in an upregulation of ubiquitin-specific peptidase 33 (USP33)-mediated CNR1 deubiquitination, subsequently increasing CNR1 protein expression, activating the phosphorylation of the AKT/mTOR pathway, and promoting the differentiation of OPCs. In conclusion, our study suggests that 13-docosenamide can ameliorate chronic cerebral hypoperfusion-induced WMI and cognitive impairment by enhancing OPC differentiation and could serve as a potential therapeutic drug.
Animals ; Oligodendrocyte Precursor Cells/metabolism* ; Mice ; Cell Differentiation/drug effects* ; Male ; Receptor, Cannabinoid, CB1/metabolism* ; Mice, Inbred C57BL ; Ubiquitin Thiolesterase/metabolism* ; Ubiquitination/drug effects* ; Carotid Stenosis/complications* ; Cognitive Dysfunction/drug therapy*

OBJECTIVE To evaluate the quality of Mongolian medicine Sendeng-4 based on qualitative and quantitative analysis combined with chemical pattern recognition， in order to provide the reference for its quality control. METHODS The chemical components in Sendeng-4 were analyzed qualitatively by HPLC-Q-Exactive-MS. The contents of 16 components （methyl gallate， ethyl gallate， epicatechin， dihydromyricetin， genipin-1-O-β-D-gentiobioside， caffeic acid， catechin， corilagin， deacetylasperulosidic acid methyl ester， rutin， geniposide， luteolin， myricetin， quercetin， ferulic acid， and toosendanin） in 15 batches of Sendeng-4 （sample S1-S15） were quantitatively analyzed by HPLC-MS/MS. Cluster analysis （CA）， principal component analysis （PCA）， and orthogonal partial least squares discriminant analysis were conducted and variable importance projection （VIP） value greater than 1 was used as the index to screen the differential components. RESULTS A total of 73 chemical components were identified in Sendeng-4， including 20 flavonoids， 16 tannins， 14 organic acids， etc. According to the quantitative analysis， the results exhibited that the average contentsthe of above 16 components in 15 batches of Sendeng-4 were 3.683-7.730， 2.391-6.952， 2 275.538-4 377.491， 2 699.188-3 537.924， 858.266-1 377.393， 3.366-11.003， 140.624-315.683，414.629-978.334， 285.501-1 510.457， 27.799-48.325， 3 625.415-6 309.563， 0.506-0.656， 442.337-649.283， 47.093-59.736， 12.942-15.822， 127.738-326.649 μg/g， respectively. According to the results of CA and PCA， 15 batches of samples could be clustered into two categories: S1-S3， S5-S6， S9-S10 and S13 were clustered into one category； S4， S7-S8， S11-S12， S14-S15 were clustered into one category. VIP values of geniposide， epicatechin， deacetylasperulosidic acid methyl ester and genipin-1-O- β-D-gentiobioside were all greater than 1. CONCLUSIONS HPLC-Q-Exactive-MS and HPLC-MS/MS techniques are employed for the qualitative and quantitative analysis of Sendeng-4. Through chemical pattern recognition analysis， four differential components are identified: geniposide， epicatechin， deacetylasperulosidic acid methyl ester， and genipin-1-O-β-D-gentiobioside.

Objective:To utilize the left ventricular myocardial work（LVMW）technique for early identification of myocardial damage in patients with fabry disease（FD）.Methods:In an observational cross-sectional study，35 patients with FD who visited the Second Hospital of Hebei Medical University from February 2023 to April 2024 were included. They were categorized into two groups based on left ventricular mass index（LVMI）：the non-left ventricular hypertrophy group（LVH-FD group，14 cases）and the left ventricular hypertrophy group（LVH+FD group，21 cases）. Further gender-stratified analysis was performed on parameters related to left ventricular global longitudinal strain（LVGLS）and LVMW. Additionally，for the FD group with normal LVGLS，a comparison of their LVMW-related parameters was made with a control group. A control group consisting of 28 healthy subjects from the same period was selected for comparison. The LVGLS，global work index（LVGWI），global constructive work（LVGCW），global wasted work（LVGWW），and global work efficiency（LVGWE）of the three groups were analyzed using two-dimensional speckle tracking and non-invasive myocardial work techniques，and intergroup comparisons of these parameters were performed. Pearson's linear correlation was applied to analyse the correlation between LVGWI，LVGWE and LVMI.Results:① According to the LVMI grouping results，compared with the control group，the LVH-FD group showed decreased LVGWI（ P<0.05），while the LVH+FD group exhibited reductions in LVGLS，LVGWI，and LVGWE（all P<0.05）. Compared to the LVH-FD group，the LVH+FD group demonstrated lower LVGLS，LVGWI，and LVGWE（all P<0.05）. ② Gender subgroup analysis revealed that in the female subgroup，no statistically significant differences were observed in LVGLS，LVGWI，and LVGWE between the female control group and the female LVH-FD group（all P>0.05）. However，the female LVH+ FD group showed decreased LVGLS，LVGWI，and LVGWE compared to both the female control group（all P<0.05）and the female LVH-FD group（all P<0.05）. In the male subgroup，compared to the male control group，the male LVH-FD group had reduced LVGWI（ P<0.05）but no significant differences in LVGLS or LVGWE（both P>0.05）. The male LVH+ FD group displayed lower LVGLS，LVGWI，and LVGWE compared to both the male control group（all P<0.05）and the male LVH- FD group（all P<0.05）. ③Compared with the control group，the LVGLS-normal FD group had a reduced LVGWI（ P<0.05），while there were no statistically significant differences in LVGLS，LVGWE，LVGCW，and LVGWW between these two groups（all P>0.05）. ④LVGWI and LVGWE were negatively correlated with LVMI（ r=-0.617，-0.707；both P<0.001）. Conclusions:LVMW can detect early cardiac dysfunction in patients with FD and is of guiding value for their clinical management.

Objective To explore the application of artificial intelligence quantitative analysis in the prognostic assessment of patients with connective tissue disease-associated interstitial lung disease(CTD-ILD).Methods A total of 67 patients with CTD-ILD were retrospectively selected.All subjects underwent high-resolution computed tomography(HRCT)scanning and were categorized into three groups,namely mild,moderate and severe groups,based on the results of pulmonary function tests.The survival rates of patients in each group were compared using Kaplan-Meier curves and analysis of variance.The univariate analysis was employed to assess the rela-tionships between artificial intelligence parameters and patient prognosis.Significant results were then incorporated into a multifacto-rial Cox regression model to construct the most accurate predictive model.Results A significant difference in survival rate was observed among the three groups(P<0.05).Univariate analysis revealed that the volume and percentage of lung infection in deceased patients were significantly greater than those in surviving patients,while the lung volume in deceased patients was significantly smaller than that in surviving patients.The analysis showed left lung volume and the percentage of lesion components CT value≤-750 HU as risk factors for prognosis,and the combination of these two factors as the most effective predictive model.Conclusion The artificial intelligence analysis system for lung lesions provides a new systematic and quantitative method for the prognostic assessment of CTD-ILD patients,which can be used for the prognostic assessment and follow-up of CTD-ILD patients.

Objective : To investigate the antagonistic activity of Lactococcus garvieae SHAMU-LG6 against Staphy- lococcus . Methods : VITEK 2 GP identification card , Microflex LT MALDI-TOF mass spectrometer and 16S rDNA amplification sequencing were used to identify the strain species . The antagonistic activity of L. garvieae SHAMU- LG6 against different Staphylococcus was detected by Oxford cup method for bacterial inhibition ; the antimicrobial active components were preliminarily isolated and purified by adsorption on XAD16 nonionic macroporous resin , gradient ethanol elution and rotary evaporation drying. Results : L. garvieae SHAMU-LG6 exhibited potent antago- nistic effect against methicillin-resistant Staphylococcus aureus , methicillin-susceptible S. aureus , S. epidermidis , S. saprophyticus , S. lugdunensis , S. hominis , S. capitis and S. warneri , with inhibitory indices of 3 . 3 , 3 . 0 , 4. 3 , 2. 0 , 4. 0 , 3 . 5 , 3 . 8 , and 3 . 5 , respectively. The antimicrobial active components produced by L. garvieae SHAMU-LG6 were mainly present in 70% and 80% ethanol eluates . Conclusion L. garvieae SHAMU-LG6 ex- hibits a potent antagonistic effect on Staphylococcus , and the antimicrobial active components produced by it are ex- pected to be a lead compound for the development of novel antimicrobial agents .

Objective To establish a brucellosis monitoring and testing technique applicable for the rapid field screening of natural epidemic diseases.Methods A rapid testing technique for Brucella was developed based on a double-antibody sandwich testing model using gradient-variant quantum dots as fluorescent tracers.The sensitivity,linearity,precision,and specificity of the technique were evaluated using suspensions of standard Brucella strains.Methodological comparisons across different sample types were conducted to assess the consistency of the test results.Results The gradient-variant quantum dots detection method was evaluated with standard Brucella strains,exhibiting a sensitivity of 1×103 CFU/mL and a linear correlation coefficient(r)of 0.994(95%CI,0.933-1.055).The maximum coefficient of variation was 12.94%in repeated tests,showing good specificity.A comparative assessment of 305 clinical samples was conducted using the Brucella gradient-variant quantum dots detection method,the Rose Bengal plate agglutination test(RBT),and the serum agglutination test(SAT),yielding a Kappa value of 0.95,indicating almost perfect agreement.Additionally,a comparative assessment of 110 environmental samples collected on-site was conducted using the Brucella gradient-variant quantum dots detection method and quantitative real-time PCR(qPCR).The Kappa values for aerosol collection fluid,surface wipes,and wool samples were all above 0.83,demonstrating near-perfect agreement.For fecal and soil samples,the Kappa values were above 0.62,indicating substantial agreement.Conclusion The Brucella detection method based on gradient-variant quantum dots technology is simple and can be conducted rapidly.The detection method demonstrates high sensitivity,linearity,precision,and specificity.It shows consistent performance in clinical sample testing.It is well-suited for field rapid screening of natural epidemic diseases in field settings and shows good application prospects in the monitoring,prevention,and rapid detection of zoonotic diseases.

Objective: To investigate the hemolytic phenotypes of Staphylococcus aureus clinical isolates． Methods: The hemolytic phenotypes of 105 Staphylococcus aureus isolates were analyzed and summarized using the three-point inoculation method．Real-time fluorescence quantitative PCR was used to measure the mRNA expression levels of four hemolysin genes (hla，hlb，hlc，and hld) ; The VITEK 2 GP639 antimicrobial susceptibility card was used to detect resistance to commonly used antibiotics ; DNA gel electrophoresis was performed to determine the prevalence of the mecA，sea，tst，and pvl genes ; The microtiter plate crystal violet staining method was used to assess biofilm formation ability ; The CCK-8 assay was used to evaluate cytotoxicity against macrophages． Results: Seven hemo- lytic phenotypes were identified among the Staphylococcus aureus clinical isolates． Differences were found among Staphylococcus aureus clinical isolates with different hemolytic phenotypes in terms of mRNA expression levels of he- molysin genes，antibiotic resistance，virulence gene prevalence，biofilm formation ability，and cytotoxicity to mouse macrophages (P ＜0. 05 ) ． Conclusion Staphylococcus aureus clinical isolates exhibit diverse hemolytic pheno- types，which should be a focus across multiple dimensions，including microbiological testing，clinical treatment， and nosocomial infection prevention and control．

Objective To explore the antimicrobial activity of the bacteriocin(tentatively named garvicin LG6)se-creted by Lactococcus garvieae(L.garvieae)SHAMU-LG6 against Staphylococcus aureus(S.aureus)of different hemolytic phenotypes.Methods S.aureus isolated from clinical patients in a hospital of Anhui from 2021 to 2023 were collected.The hemolytic phenotypes of S.aureus were detected by three-point inoculation method.S.aureus of different hemolytic phenotypes were further categorized into methicillin-sensitive S.aureus(MSSA)and methi-cillin-resistant S.aureus(MRSA)according to antimicrobial susceptibility testing results.The antagonistic activity of L.garvieae SHAMU-LG6 against S.aureus of different hemolytic phenotypes was assayed by Oxford cup me-thod.The whole-genome sequencing of L.garvieae SHAMU-LG6 was performed.Biosynthetic gene cluster of gar-vicin LG6 was searched by online databases antiSMASH 7.0 and BAGEL4.Through macroporous resin adsorption,ethanol gradient elution,rotary evaporation,and dried material reconstitution,antimicrobial activity of garvicin LG6 crude extract against S.aureus was detected by the inhibitory testing of Oxford cup method.Results L.garvieae SHAMU-LG6 could significantly antagonize MSSA and MRSA of different hemolytic phenotypes.Biosynthetic gene cluster of garvicin LG6 was present on the chromosomal genome of L.garvieae SHAMU-LG6.The antimicrobial activity of garvicin LG6 secreted by a single colony or 6 mL fermentation fluid of L.garvieae SHAMU-LG6 were at least equal to that of antibiotic disc of 30 pg cefoxitin.Conclusion Garvicin LG6 can efficiently kill MSSA and MR-SA of different hemolytic phenotypes,and has the potential to be developed into a novel antimicrobial agent,which has great prospects for clinical application.