Currently,human health due to corona virus disease 2019(COVID-19)pandemic has been seriously threatened.The coronavirus severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)spike(S)protein plays a crucial role in virus transmission and several S-based therapeutic approaches have been approved for the treatment of COVID-19.However,the efficacy is compromised by the SARS-CoV-2 evolvement and mutation.Here we report the SARS-CoV-2 S protein receptor-binding domain(RBD)inhibitor licorice-saponin A3(A3)could widely inhibit RBD of SARS-CoV-2 variants,including Beta,Delta,and Omicron BA.1,XBB and BQ1.1.Furthermore,A3 could potently inhibit SARS-CoV-2 Omicron virus in Vero E6 cells,with EC50 of 1.016 pM.The mechanism was related to binding with Y453 of RBD deter-mined by hydrogen-deuterium exchange mass spectrometry(HDX-MS)analysis combined with quan-tum mechanics/molecular mechanics(QM/MM)simulations.Interestingly,phosphoproteomics analysis and multi fluorescent immunohistochemistry(mIHC)respectively indicated that A3 also inhibits host inflammation by directly modulating the JNK and p38 mitogen-activated protein kinase(MAPK)path-ways and rebalancing the corresponding immune dysregulation.This work supports A3 as a promising broad-spectrum small molecule drug candidate for COVID-19.

Objective This study investigated the impact of occupational mercury(Hg)exposure on human gene transcription and expression,and its potential biological mechanisms. Methods Differentially expressed genes related to Hg exposure were identified and validated using gene expression microarray analysis and extended validation.Hg-exposed cell models and PTEN low-expression models were established in vitro using 293T cells.PTEN gene expression was assessed using qRT-PCR,and Western blotting was used to measure PTEN,AKT,and PI3K protein levels.IL-6 expression was determined by ELISA. Results Combined findings from gene expression microarray analysis,bioinformatics,and population expansion validation indicated significant downregulation of the PTEN gene in the high-concentration Hg exposure group.In the Hg-exposed cell model(25 and 10 μmol/L),a significant decrease in PTEN expression was observed,accompanied by a significant increase in PI3K,AKT,and IL-6 expression.Similarly,a low-expression cell model demonstrated that PTEN gene knockdown led to a significant decrease in PTEN protein expression and a substantial increase in PI3K,AKT,and IL-6 levels. Conclusion This is the first study to report that Hg exposure downregulates the PTEN gene,activates the PI3K/AKT regulatory pathway,and increases the expression of inflammatory factors,ultimately resulting in kidney inflammation.

Objective To establish a nomogram model for efficiently predicting overall survival(OS)and cancer-specific survival(CSS)in patients with CRCHBM.Method 2239 patients from 2010 to 2019 were retrospectively analyzed from the Surveillance,Epidemiology,and End Results Program(SEER)databases and Wuhan Union Hospital Cancer Center.SEER is randomly assigned to the training and internal validation cohorts,and the Wuhan database serves as the external validation.Cox regression analyses were used to determine the independent clinicopathological prognosis factors affecting OS and CSS,and a nomogram was constructed to predict OS and CSS.The clinical utility of columnar plots was assessed using calibration curves,area under the curve(AUC),and decision curve analysis(DCA).Result OS column line graphs were constructed based on nine independent predictors:age,tumor location,degree of differentiation,tumor size,TNM stage,chemotherapy,primary focus surgery,number of lymph nodes sampled,and serum carcinoembryonic antigen(CEA)level.The C-index of the nomogram to predict the 1-,3-,and 5-year OS were 0.764,0.790,and 0.805 in the training group,0.754,0.760,and 0.801 in the internal validation group,and 0.822,0.874,and 0.906 in the external validation group.CSS column line graphs were constructed based on 3 independent predictors of TNM staging,radiotherapy and chemotherapy.The 1-,3-,and 5-year CSS AUROC values of the training group were 0.791,0.757,and 0.782,respectively.0.682,0.709,0.625 in the internal validation group and 0.759,0.702,0.755 in the external validation group,respectively.The results of receiver operating characteristic curve(ROC),ROC and DCA showed that the use of our model was more effective in predicting OS and CSS than other single clinicopathological features.Conclusion In summary,the nomogram based on significant clinicopathological features can be conveniently used to predict OS and CSS individually in patients with CRCHBM.

This study was aimed at understanding the trends in,and scope of,severe fever with thrombocytopenia syndrome(SFTS)in Nanjing,analyzing the spatial distribution pattern,detecting high incidence cluster areas and key popula-tions,and scientifically guiding prevention and control strategies and measures.We obtained data on SFTS cases from 2010 to 2023 in Nanjing from the China Disease Control and Prevention Information System,and described the time,popu-lation,and spatial distribution characteristics.We used joinpoint regression to calculate the annual percentage change(APC)in incidence,then used FleXScan spatial clustering scan analysis to explore spatial clustering areas at the street level.A total of 507 SFTS cases were reported from 2010 to 2023 in Nanjing.The APC was 31.8％(95％CI:22.5％-41.9％,P＜0.001),and the reported incidence in 2023 was 1.42/100 000(134 cases).The seasonal indices from May to August were 2.7,2.1,3.0,and 1.3,respectively,accounting for 76.1％of the total cases.The median age was 66(IQR:55,73)years,which gradually increased from 59 years in 2010-2011 to 68 in 2022-2023(P＜0.001);94.1％of cases were in individuals 45 years or older.Farmers,homemakers/unemployed individuals,and retirees accounted for 90.1％.The epidemic area increased from 11 streets in four districts in 2010-2011 to 58 streets in 11 dis-tricts in 2022-2023.Except for 2012-2013,global spatial autocorrelation analysis showed positive Moran's I values(0.224-0.526,P＜0.001),and FlexScan scan indicated that several streets in Lishui District and Jiangning District were the most likely clusters.Four streets in Pukou District were the secondary clusters from 2018 to 2023,and three streets in Luhe District in 2022-2023 were the secondary clusters(all P＜0.05).The reported incidence of SFTS in Nanjing showed a rapid upward trend,with spread of epidemic areas.The spatial distribution pattern was clustered.Strengthened training in diagnosis and treatment technology and detection ability of medical institutions,surveillance in high-incidence areas,tracing of case flow,and health education of tick and disease prevention knowledge are recommended.

BACKGROUND: High-grade serous ovarian cancer (HGSOC) is the biggest cause of gynecological cancer-related mortality because of its extremely metastatic nature. This study aimed to explore and evaluate the characteristics of candidate factors associated with the metastasis and progression of HGSOC. METHODS: Transcriptomic data of HGSOC patients' samples collected from primary tumors and matched omental metastatic tumors were obtained from three independent studies in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were selected to evaluate the effects on the prognosis and progression of ovarian cancer using data from The Cancer Genome Atlas (TCGA) database. Hub genes' immune landscapes were estimated by the Tumor Immune Estimation Resource (TIMER) database. Finally, using 25 HGSOC patients' cancer tissues and 10 normal fallopian tube tissues, immunohistochemistry (IHC) was performed to quantify the expression levels of hub genes associated with International Federation of Gynecology and Obstetrics (FIGO) stages. RESULTS: Fourteen DEGs, ADIPOQ , ALPK2 , BARX1 , CD37 , CNR2 , COL5A3 , FABP4 , FAP , GPR68 , ITGBL1 , MOXD1 , PODNL1 , SFRP2 , and TRAF3IP3 , were upregulated in metastatic tumors in every database while CADPS , GATA4 , STAR , and TSPAN8 were downregulated. ALPK2 , FAP , SFRP2 , GATA4 , STAR , and TSPAN8 were selected as hub genes significantly associated with survival and recurrence. All hub genes were correlated with tumor microenvironment infiltration, especially cancer-associated fibroblasts and natural killer (NK) cells. Furthermore, the expression of FAP and SFRP2 was positively correlated with the International Federation of Gynecology and Obstetrics (FIGO) stage, and their increased protein expression levels in metastatic samples compared with primary tumor samples and normal tissues were confirmed by IHC ( P = 0.0002 and P = 0.0001, respectively). CONCLUSIONS This study describes screening for DEGs in HGSOC primary tumors and matched metastasis tumors using integrated bioinformatics analyses. We identified six hub genes that were correlated with the progression of HGSOC, particularly FAP and SFRP2 , which might provide effective targets to predict prognosis and provide novel insights into individual therapeutic strategies for HGSOC.
Humans ; Female ; Ovarian Neoplasms/pathology* ; Prognosis ; Gene Expression Profiling ; Transcriptome ; Tumor Microenvironment ; Receptors, G-Protein-Coupled/therapeutic use* ; Tetraspanins/genetics* ; Protein Kinases ; Integrin beta1/therapeutic use*

The 3-succinate-30-stearyl glycyrrhetinic acid(18-GA-Suc) was inserted into glycyrrhetinic acid(GA)-tanshinone Ⅱ_A(TSN)-salvianolic acid B(Sal B) liposome(GTS-lip) to prepare liver targeting compound liposome(Suc-GTS-lip) mediated by GA receptors. Next, pharmacokinetics and tissue distribution of Suc-GTS-lip and GTS-lip were compared by UPLC, and in vivo imaging tracking of Suc-GTS-lip was conducted. The authors investigated the effect of Suc-GTS-lip on the proliferation inhibition of hepatic stellate cells(HSC) and explored their molecular mechanism of improving liver fibrosis. Pharmacokinetic results showed that the AUC_(Sal B) decreased from(636.06±27.73) μg·h·mL~(-1) to(550.39±12.34) μg·h·mL~(-1), and the AUC_(TSN) decreased from(1.08±0.72) μg·h·mL~(-1) to(0.65±0.04) μg·h·mL~(-1), but the AUC_(GA) increased from(43.64±3.10) μg·h·mL~(-1) to(96.21±3.75) μg·h·mL~(-1). The results of tissue distribution showed that the AUC_(Sal B) and C_(max) of Sal B in the liver of the Suc-GTS-lip group were 10.21 and 4.44 times those of the GTS-lip group, respectively. The liver targeting efficiency of Sal B, TSN, and GA in the Suc-GTS-lip group was 40.66%, 3.06%, and 22.08%, respectively. In vivo imaging studies showed that the modified liposomes tended to accumulate in the liver. MTT results showed that Suc-GTS-lip could significantly inhibit the proliferation of HSC, and RT-PCR results showed that the expression of MMP-1 was significantly increased in all groups, but that of TIMP-1 and TIMP-2 was significantly decreased. The mRNA expressions of collagen-I and collagen-Ⅲ were significantly decreased in all groups. The experimental results showed that Suc-GTS-lip had liver targeting, and it could inhibit the proliferation of HSC and induce their apoptosis, which provided the experimental basis for the targeted treatment of liver fibrosis by Suc-GTS-lip.
Humans ; Liposomes ; Hepatic Stellate Cells ; Glycyrrhetinic Acid/pharmacology* ; Liver ; Liver Cirrhosis/genetics* ; Collagen/pharmacology*

OBJECTIVES: Based on peripheral blood lymphocyte subsets and common laboratory test indexes, this study aimed to construct a predictive scoring system for intravenous immunoglobulin (IVIG)-resistant Kawasaki disease (KD). METHODS: Children hospitalized in Tianjin Children's Hospital from January 2021 to March 2023 were included in the study (185 cases of IVIG-sensitive KD and 41 cases of IVIG -resistant KD). Forty-six healthy children matched for age and gender were selected as controls. The relative percentage and absolute counts of peripheral lymphocyte subsets were measured by flow cytometry. Multivariate logistic regression was used to identify the predictive factors for IVIG-resistant KD and to construct a predictive scoring system for predicting IVIG-resistant KD. RESULTS: The multivariate logistic regression analysis showed that CD4⁺ T cell absolute count, natural killer cell absolute count, serum sodium level, globulin level, and total bilirubin level were identified as predictive factors for IVIG-resistant KD (P<0.05). The predictive scoring system based on these factors achieved a sensitivity of 70.7% and a specificity of 83.8% in predicting IVIG-resistant KD. CONCLUSIONS Peripheral blood lymphocyte subsets can serve as predictive indicators for IVIG-resistant KD in children. The introduction of this indicator and the establishment of a scoring system based on it can provide a higher accuracy in predicting IVIG-resistant KD in children.
Child ; Humans ; Infant ; Immunoglobulins, Intravenous/therapeutic use* ; Mucocutaneous Lymph Node Syndrome/drug therapy* ; Lymphocyte Count ; Lymphocyte Subsets ; Retrospective Studies

OBJECTIVE: To utilized the baseline data of the Beijing Fangshan Family Cohort Study, and to estimate whether the association between a healthy lifestyle and arterial stiffness might be modified by genetic effects. METHODS: Probands and their relatives from 9 rural areas in Fangshan district, Beijing were included in this study. We developed a healthy lifestyle score based on five lifestyle behaviors: smoking, alcohol consumption, body mass index (BMI), dietary pattern, and physical activity. The measurements of arterial stiffness were brachial-ankle pulse wave velocity (baPWV) and ankle-brachial index (ABI). A variance component model was used to determine the heritability of arterial stiffness. Genotype-environment interaction effects were performed by the maximum likelihood methods. Subsequently, 45 candidate single nucleotide polymorphisms (SNPs) located in the glycolipid metabolism pathway were selected, and generalized estimated equations were used to assess the gene-environment interaction effects between particular genetic loci and healthy lifestyles. RESULTS: A total of 6 302 study subjects across 3 225 pedigrees were enrolled in this study, with a mean age of 56.9 years and 45.1% male. Heritability of baPWV and ABI was 0.360 (95%CI: 0.302-0.418) and 0.243 (95%CI: 0.175-0.311), respectively. Significant genotype-healthy diet interaction on baPWV and genotype-BMI interaction on ABI were observed. Following the findings of genotype-environment interaction analysis, we further identified two SNPs located in ADAMTS9-AS2 and CDH13 might modify the association between healthy dietary pattern and arterial stiffness, indicating that adherence to a healthy dietary pattern might attenuate the genetic risk on arterial stiffness. Three SNPs in CDKAL1, ATP8B2 and SLC30A8 were shown to interact with BMI, implying that maintaining BMI within a healthy range might decrease the genetic risk of arterial stiffness. CONCLUSION The current study discovered that genotype-healthy dietary pattern and genotype-BMI interactions might affect the risk of arterial stiffness. Furthermore, we identified five genetic loci that might modify the relationship between healthy dietary pattern and BMI with arterial stiffness. Our findings suggested that a healthy lifestyle may reduce the genetic risk of arterial stiffness. This study has laid the groundwork for future research exploring mechanisms of arterial stiffness.
Humans ; Male ; Middle Aged ; Female ; Ankle Brachial Index ; Cohort Studies ; Gene-Environment Interaction ; Vascular Stiffness/genetics* ; Pedigree ; Pulse Wave Analysis/methods* ; Genotype

Objective:To assess the clinical significance of next-generation sequencing (NGS)-based IGH/ IGK gene rearrangement analysis versus flow cytometry (FCM) in diagnosing minimal residual disease (MRD) of children with acute B-cell lymphoblastic leukemia (B-ALL). Methods:Clinical data, NGS-MRD and FCM-MRD findings at the initial diagnosis and after induction chemotherapy of 85 children diagnosed as B-ALL in Children′s Hospital of Nanjing Medical University from July 2019 to July 2021, were retrospectively analyzed.The sensitivity of the two methods, and the positive rate were compared by χ2 test or Fisher′ s test.The correlation was identified by Spearman correlation analysis. Results:Dominant clone sequences were detected in all children at the initial diagnosis by NGS, while selection markers were identified by FCM in 75(88.2%) patients.Positive MRD rate detected by NGS-MRD was significantly higher than that of FCM-MRD at the same time point after induction chemotherapy[31.8%(27/85) vs.9.4%(8/85), P<0.001]. Compared with those of FCM-MRD, NGS-MRD had good sensitivity (100.0%), specificity (75.3%) and negative predictive value (100.0%), and the positive predictive value was 29.6%.MRD results detected by NGS were consistent with that of FCM ( r=0.569, P<0.001). By July 27, 2022, 2 patients with NGS-MRD (+ )FCM-MRD (-)relapsed during maintenance chemotherapy. Conclusions:NGS is highly consistent with FCM in the detection of MRD in children with B-ALL, which is more sensitive.The combination of NGS-MRD and FCM-MRD benefits more in monitoring MRD in children with B-ALL after induction chemotherapy.

Natural products are an important source for the development of antitumor lead compounds, but the pharmacological effects and regulatory mechanisms of natural products in osimertinib resistance in non-small cell lung cancer (NSCLC) are not well understood. The natural product ligustroflavone was used as the research object to analyze its efficacy in osimertinib-resistant NSCLC cells by cell proliferation assay and cell cycle detection. The potential targets of ligustroflavone in osimertinib-resistant NSCLC cells were screened by public databases and bioinformatics, molecular docking and microscale thermophoresis were used to identify the interaction between privet and target molecules. Western blot was used to detect the effect of privet on the target molecules and their downstream pathways. Ligustroflavone reduced the proliferation of osimertinib-resistant NSCLC cells, and could arrest the cell cycle. Cyclin-dependent kinase 6 (CDK6) was the potential target of ligustroflavone in osimertinib-resistant NSCLC cells. Ligustroflavone inhibited the activation of CDK6-Rb axis. Together, ligustroflavone could regulate osimertinib resistance in NSCLC cells by binding cell cyclin-related molecules. This study provides a theoretical basis for the targeted drug resistance of NSCLC with natural products, and also provides a new idea for the development of clinical drug combination.