ObjectiveTo explore the microbiological characteristics of Staphylococcus epidermidis with hemolytic phenotype （SEHP）. MethodsHemolytic phenotype was detected using the three-point inoculation method， involving a total of 5 strains of SEHP and 5 strains of Staphylococcus epidermidis with non-hemolytic phenotype （SENHP） . Bacterial species were identified using the Microflex LT MALDI-TOF mass spectrometer， and a phylogenetic tree was constructed through 16S rRNA sequence alignment. Growth curves were monitored through the microcultivation assay. Biofilm formation ability was assessed by microplate crystal violet staining. Red blood cell toxicity was detected using the microplate method. Antimicrobial susceptibility testing of SEHP and SENHP against commonly used antibiotics was performed using a VITEK 2 GP639 test kit. Antagonistic effects of SEHP and SENHP against Staphylococcus aureus and Corynebacterium striatum were evaluated by the Oxford cup inhibition assay. ResultsCompared with SENHP， SEHP exhibited a marked decrease in growth rate during the late logarithmic phase， accompanied by significant hemolytic toxicity. Additionally， it showed lower resistance rates to levofloxacin and moxifloxacin， and could antagonize Staphylococcus aureus and Corynebacterium striatum. ConclusionThe microbiological characteristics of SEHP differ from those of SENHP in that SEHP demonstrates antagonistic effects against S. aureus and C. striatum.

OBJECTIVE To evaluate the quality of Lufu Pill （LFP）.METHODS The high-performance liquid chromatography （HPLC） fingerprint of LFP was established using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 Edition）， and similarity evaluation was performed. Hierarchical cluster analysis （HCA）， principal component analysis （PCA）， and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed using SIMCA 14.1 software. The contents of strychnine， brucine， liquiritin， notoginsenoside R 1 ， ginsenoside Rg 1 ， ginsenoside Rb 1 ， licoricesaponin G 2 ， and ginsenoside Rd in 12 batches of samples were determined by the HPLC method.RESULTS A total of 26 common peaks were identified in the HPLC fingerprint of 12 batches of LFP samples， and eight common peaks were identified as strychnine （peak 3）， brucine （peak 4）， liquiritin （peak 6）， notoginsenoside R 1 （peak 7）， ginsenoside Rg 1 （peak 8）， ginsenoside Rb 1 （peak 15）， licoricesaponin G 2 （peak 17）， and ginsenoside Rd （peak 18）. The similarities of 12 batches of LFP samples were all greater than 0.90. The results of HCA and PCA both showed that the 12 batches of samples were divided into two categories： S2， S4-S6， and S12 were grouped into one category， while S1， S3， S7-S11 were grouped into another category. The upper control limits for Hotelling’s T 2 and DMod X were 16.631 and 1.578， respectively. The variable importance in projection values of ginsenoside Rg 1 （peak 8）， ginsenoside Rb 1 （peak 15）， peak 20， strychnine （peak 3）， peak 11， notoginsenoside R 1 （peak 7）， peak 2， peak 17， peak 13， peak 10， ginsenoside Rd （peak 18）， peak 23， peak 26， peak 21， and peak 24 were greater than 1.The content determination results showed that strychnine， brucine， liquiritin， notoginsenoside R 1 ， ginsenoside Rg 1 ， ginsenoside Rb 1 ， licoricesaponin G 2 ， and ginsenoside Rd were 0.005%-0.018%， 0.005%-0.010%， 0.050%-0.118%， 0.033%-0.073%， 0.132%-0.248%， 0.122%-0.242%， 0.021%-0.043%， and 0.016%-0.048%， respectively.CONCLUSIONS The established HPLC fingerprint and content determination method are accurate and reproducible， and can be used for the quality evaluation of LFP. Ginsenoside Rg 1 ， ginsenoside Rb 1 ， strychnine， notoginsenoside R 1 ， and ginsenoside Rd may be the differential components affecting its overall quality.

INTRODUCTION: In December 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) virus emerged and caused a worldwide pandemic, leading to measures being imposed by many countries to reduce its transmission. Singapore implemented the 'circuit breaker', which restricted all movements except for access to necessities and healthcare services. We aimed to investigate the impact of lockdown measures on the pattern of trauma and its effects. METHODS: An observational, retrospective, single-centre descriptive study was conducted using the trauma registry in Singapore General Hospital. It included patients above 18 years old who presented to the emergency department with trauma and were subsequently admitted. Patients admitted from 1 February 2020 to 31 July 2020 and those admitted during the same timeframe in 2019 were studied. Subgroup analyses were performed for patients aged ≥65 years and those <65 years. RESULTS: A total of 1,037 patients were included for analysis. A 17.6% increase in trauma presentations was seen from 2019 to 2020. Patients aged ≥65 years accounted for the rise in admissions. The predominant mechanism of injury was falls at home for older patients and vehicular accidents in patients <65 years. There were no significant differences in injury severity score, intensive care/high-dependency unit admission rates, length of stay, mortality rate, and subsequent need for inpatient rehabilitation. CONCLUSION Our study provided information on differences in trauma presentations before and during the COVID-19 pandemic. Further studies are required to better inform on additional precautionary measures needed to reduce trauma and improve safety during future lockdowns and pandemics.
Humans ; COVID-19/prevention & control* ; Aged ; Retrospective Studies ; Singapore/epidemiology* ; Male ; Female ; Wounds and Injuries/epidemiology* ; Aged, 80 and over ; Middle Aged ; SARS-CoV-2 ; Hospitalization/statistics & numerical data* ; Adult ; Emergency Service, Hospital/statistics & numerical data* ; Registries ; Accidental Falls/statistics & numerical data* ; Pandemics ; Patient Admission/statistics & numerical data* ; Length of Stay ; Accidents, Traffic/statistics & numerical data*

INTRODUCTION: Health literacy plays an essential role in one's ability to acquire and understand critical medical information in the coronavirus disease 2019 (COVID-19) infodemic and in other pandemics. We aimed to summarise the assessment, levels and determinants of pandemic-related health literacy and its associated clinical outcomes. METHODS: A systematic review was performed in Medline ® , Embase ® , PsycINFO ® , CINAHL ® and four major preprint servers. Observational and interventional studies that evaluated health literacy related to the novel COVID-19, severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) were included. Items used in health literacy instruments were grouped under the themes of knowledge, attitudes and practices. Determinants of health literacy were grouped into five domains: sociodemographic, medical, psychological/psychiatric, health systems-related and others. RESULTS: Of the 2,065 articles screened, 70 articles were included. Of these, 21, 17 and 32 studies evaluated health literacy related to COVID-19, SARS and MERS, respectively. The rates of low pandemic health literacy ranged from 4.3% to 57.9% among medical-related populations and from 4.0% to 82.5% among nonmedical populations. Knowledge about the symptoms and transmission of infection, worry about infection, and practices related to mask usage and hand hygiene were most frequently evaluated. Sociodemographic determinants of health literacy were most frequently studied, among which higher education level, older age and female gender were found to be associated with better health literacy. No studies evaluated the outcomes associated with health literacy. CONCLUSION The level of pandemic-related health literacy is suboptimal. Healthcare administrators need to be aware of health literacy determinants when formulating policies in pandemics.
Humans ; Health Literacy ; COVID-19/epidemiology* ; Severe Acute Respiratory Syndrome/epidemiology* ; Health Knowledge, Attitudes, Practice ; Pandemics ; SARS-CoV-2 ; Coronavirus Infections/epidemiology* ; Middle East Respiratory Syndrome Coronavirus ; Female ; Male

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 explore the molecular characteristics of four CAMP negativeStreptococcus agalactiae(S.agalactiae) in whole genome sequencing. Methods : The identification of suspicious bacterial strains was conducted using matrix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS). For the strains confirmed asS.agalactiaethrough identification, further CAMP experiments were conducted. For CAMP negative strains, whole genome sequencing was performed using MGI DNBSEQ-T7 and MinION Flow Cell sequencing platforms. Subsequently, multi-locus sequence typing(MLST), virulence genes and resistance genes of the strains were compared and analyzed using various databases. Phoenix M50 fully automatic drug sensitivity analyzer was employed to determine the sensitivity of the bacterial strains to commonly used antibiotics. Results: Four CAMP-negativeS.agalactiaestrains were included. Whole-genome sequencing analysis revealed that all four CAMP-negativeS.agalactiaestrains belonged to the ST862 type. These strains harbored 22 virulence genes associated with capsular polysaccharides, β-hemolysin, and hyaluronidase, as well as seven resistance genes linked to macrolides, lincosamides, polypeptides, and aminoglycosides. Antimicrobial susceptibility testing revealed that CAMP-negativeS.agalactiaewas susceptible to penicillin G, cefepime, cefotaxime, and vancomycin. However, three strains exhibited resistance to erythromycin, and one strain demonstrated resistance to clindamycin. Conclusion Four CAMP negativeS.agalactiaeof the ST862 type possess multiple virulence and drug resistance genes, showing high resistance to erythromycin, warranting clinical attention.

Cholesterol,as an important component of cell membranes,plays a multifaceted role in mediating tumor immunomodulation and drug intervention.In case of cholesterol metabolic imbalance,the accumulation of cholesterol metabolic intermediates,the changes in concentrations,and the regulation of related signaling pathways can affect tumor immunity by promoting inflammation and inhibiting immune cell function.Preclinical and clinical studies have shown that controlling cholesterol metabolism can inhibit tumor growth,re-shape body immune regulation,and enhance antitumor immunity.A deep understanding of the association between immune cells and cholesterol metabolic pathways in the tumor microenvironment can help to develop novel drugs targeting cholesterol metabolism.This article reviews the multifaceted role of cholesterol and its derived metabolites in the tumor microenvironment by regulating various types of immune cells such as myeloid-derived suppressor cells,tumor-associated macrophages,dendritic cells,and T-lymphocytes,as well as the characteristics of tumor immunomodulation mediated by cholesterol metabolism and the advances in pharmaceutical re-search on improving the immune function of the body by intervening against cholesterol,in order to further provide new ideas and a thera-peutic basis for cholesterol modulation and intervention in tumor im-munotherapy.

Objective : To investigate the causes of false negative results in the detection of Streptococcus agalactiae using fluorescent quantitative PCR(qPCR) targeting the CAMP factor gene(cfb),and to perform a comprehensive analysis of the associated molecular mechanisms. Methods: A total of 76 vaginal secretion samples were evaluated using both qPCR based on cfb gene and bacterial culture methods. Four suspicious strains exhibiting negative qPCR results but positive culture findings were identified using matrix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS),latex agglutination antigen detection,and the CAMP test. Whole genome analysis was conducted utilizing the MGI DNBSEQ-T7 and Nanopore-PromethION 48 sequencing platforms. Phylogenetic and circular evolutionary trees were constructed using the 16S rRNA gene for strain verification. Multilocus sequence typing(MLST) was conducted,and cfb sequences were aligned and analyzed based on spliced sequences and original data. Specific primers targeting the cfb gene were designed for full-length amplification,followed by verification through agarose gel electrophoresis. Results: The four strains identified as suspicious were classified as S. agalactiae through MALDI-TOF MS,antigen detection,and 16S rRNA gene analysis,with MLST typing indicating ST-862. Phenotypic analysis revealed a negative CAMP test. Whole genome sequence alignment failed to detect the cfb gene or any homologous sequences,and molecular testing confirmed the absence of cfb gene PCR amplification products,thereby confirming its complete deletion. Conclusion This deletion is identified as the molecular mechanism responsible for the false negative qPCR detection of S. agalactiae when targeting this specific gene.It is recommended that the qPCR detection targeting a single cfb gene has limitation,and this may impact clinical diagnosis and treatment decisions. This limitation warrants carefulconsideration.

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．

AIM:To investigate the relationship between the level of monocyte chemoattractant protein-1(MCP-1)in the aqueous humor and macular microcirculation in patients with macular edema secondary to retinal vein occlusion(RVO-ME).METHODS:A total of 327 patients(327 eyes)with RVO-ME treated in our hospital from July 2022 to July 2024 were selected as the research objects. According to the recurrence or not, they were divided into non-recurrence group(291 cases, 291 eyes)and recurrence group(36 cases, 36 eyes). The clinical data, macular microcirculation index and MCP-1 level were collected. Unordered multinomial Logistic regression was used to analyze the effect of MCP-1 on RVO-ME recurrence after excluding the influence of other factors. Cubic spline was used to analyze the dose-response relationship between macular microcirculation indexes and MCP-1 expression level and RVO-ME recurrence. Multiple linear regression was used to analyze the relationship between macular microcirculation parameters and MCP-1 expression level, and the difference of MCP-1 expression level in recurrence under different macular microcirculation parameters was analyzed. Bootstrap method was used to test the mediating effect of macular microcirculation indexes on MCP-1 expression level and RVO-ME recurrence.RESULTS: The course of ME, the incidence of vitreomacular traction(VMT), the incidence of fibrous membrane epiretinal membrane(ERM), best corrected visual acuity(BCVA), hyperreflective foci in the inner and outer retinal layers(HRF), the frequency and dose of anti-vascular endothelial growth factor(VEGF)injection in the recurrence group were significantly higher than those in the non-recurrence group(all P<0.05). The external limiting membrane(ELM)integrity and ellipsoid zone(EZ)integrity in the recurrence group were significantly worse than those in the non-recurrence group(all P<0.05). The central foveal thickness(CFT), central macular thickness(CMT), superficial capillary plexus(SCP)vascular density, deep capillary plexus(DCP)vascular density and MCP-1 in the recurrence group were higher than those in the non-recurrence group(all P<0.05), and the foveal avascular zone(FAZ)area was lower than that in the non-recurrence group(P<0.05). Logistic analysis showed that MCP-1 was a risk factor for RVO-ME recurrence before and after adjusting for confounding factors. There was a significant non-linear dose-response relationship between macular microcirculation indexes and MCP-1 expression and the risk of RVO-ME recurrence(non-linear test, all P<0.001). The vascular density of CFT, CMT, SCP and DCP was positively correlated with the expression level of MCP-1(all P<0.05), while the FAZ was negatively correlated with MCP-1 expression level(P<0.05). With the increase of vessel density in CFT, CMT, SCP and DCP, and the decrease of FAZ, the expression level of MCP-1 increased, and the risk of RVO-ME recurrence showed an upward trend. The proportion of MCP-1 in Q3(>28.47 pg/mL)group was the highest(P<0.05). Macular microcirculation parameters play a mediating effect between MCP-1 expression level and RVO-ME recurrence.CONCLUSION: The level of MCP-1 in aqueous humor is positively correlated with RVO-ME recurrence, and it is closely related to macular microcirculation. Macular microcirculation has a mediating effect between MCP-1 level and RVO-ME recurrence.