Objective This study aims to investigate the effect of berberine (Ber) on foam cell formation induced by oxidized low-density lipoprotein (ox-LDL) in macrophages and to explore the mechanism's association with the ACE2-Ang(1-7)-Mas axis. Methods They were randomly divided into blank group, model group (RAW264.7 cells induced with 60 μg/mL ox-LDL), and berberine group (the model treated with berberine interventions at 2.5, 5, and 10 μmol/L concentrations). Lipid accumulation within the cells was assessed by Oil Red O staining, and the content of lipid droplets in each group was quantitatively analyzed by enzymatic method. The content of total cholesterol (TC) and free cholesterol (FC) in foam cells were detected by enzymatic method. The levels of oxidative stress factors (malondialdehyde (MDA), superoxide dismutase (SOD), glutathione (GSH)), inflammatory factors such as tumor necrosis factor α(TNF-α), and nitric oxide (NO) were measured using corresponding relevant reagent kits. The mRNA and protein expressions of ACE2 and Mas were evaluated through quantitative real-time PCR and Western blot analysis, respectively. The levels of AngII and Ang(1-7) were detected by ELISA. Results Compared with the model group, the berberine groups exhibited reduced lipid droplet accumulation and a dose-dependent decrease in intracellular lipid content. Berberine significantly lowered TC and FC levels in foam cells and reduced the CE/TC ratio. The levels of the oxidative factor MDA were significantly reduced, while the levels of the antioxidant factors SOD and GSH were markedly increased. Inflammatory factors TNF-α and NO were significantly decreased. The expression of the ACE2-Ang(1-7)-Mas signaling pathway was significantly activated, and the effect was more pronounced in the Ber group with high-concentration compared to the group with low-concentration, demonstrating a dose-dependent response. Conclusion Berberine can inhibit macrophage foam cell formation, potentially through upregulation of the ACE2-Ang(1-7)-Mas signaling pathway, thereby contributing to the alleviation of atherosclerosis.
Berberine/pharmacology* ; Foam Cells/cytology* ; Animals ; Signal Transduction/drug effects* ; Mice ; Angiotensin-Converting Enzyme 2 ; Angiotensin I/genetics* ; Peptidyl-Dipeptidase A/genetics* ; Peptide Fragments/genetics* ; Receptors, G-Protein-Coupled/genetics* ; RAW 264.7 Cells ; Proto-Oncogene Proteins/genetics* ; Proto-Oncogene Mas ; Lipoproteins, LDL/pharmacology* ; Nitric Oxide/metabolism* ; Tumor Necrosis Factor-alpha/metabolism*

Rapid and ultrasensitive detection of pathogen-associated biomarkers is vital for the early diagnosis and therapy of bacterial infections. Herein, we developed a close-packed and ordered Au@AgPt array coupled with a cascade triggering strategy for surface-enhanced Raman scattering (SERS) and colorimetric identification of the Staphylococcus aureus biomarker micrococcal nuclease (MNase) in serum samples. The trimetallic Au@AgPt nanozymes can catalyze the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB) molecules to SERS-enhanced oxidized TMB (oxTMB), accompanied by the color change from colorless to blue. In the presence of S. aureus, the secreted MNase preferentially cut the nucleobase AT-rich regions of DNA sequences on magnetic beads (MBs) to release alkaline phosphatase (ALP), which subsequently mediated the oxTMB reduction for inducing the colorimetric/SERS signal fade away. Using this "on-to-off" triggering strategy, the target S. aureus can be recorded in a wide linear range with a limit of detection of 38 CFU/mL in the colorimetric mode and 6 CFU/mL in the SERS mode. Meanwhile, the MNase-mediated strategy characterized by high specificity and sensitivity successfully discriminated between patients with sepsis (n = 7) and healthy participants (n = 3), as well as monitored the prognostic progression of the disease (n = 2). Overall, benefiting from highly active and dense "hot spot" substrate, MNase-mediated cascade response strategy, and colorimetric/SERS dual-signal output, this methodology will offer a promising avenue for the early diagnosis of S. aureus infection.

Objective To explore the effects of Tepp-46, a pyruvate kinase M2 (PKM2) agonist, on the skin fibrosis of patients with systemic scleroderma (SSc) and its therapeutic effect on the SSc mouse models. Methods Full-thickness skin tissues of SSc patients and healthy controls were taken, and the expression levels of PKM2 and α-smooth muscle actin (α-SMA) were detected using immunohistochemical staining. The skin primary fibroblasts were isolated from the tissues, and the PKM2 protein expression was detected using Western blotting. SSc fibroblasts were stimulated with Tepp-46 of different concentrations, and Western blotting was used to measure the expression of PKM2, collagen type Ⅰα1 (ColⅠα1) and α-SMA protein after the stimulation. The C57BL/6 mice were randomly divided into three groups: control group, bleomycin (BLM) group and Tepp-46 group. BLM was injected subcutaneously to establish the SSc mouse model, at the same time, Tepp-46 treatment initiated in the Tepp-46 group. At 21 d after modeling, the mice were executed and their skins were taken. HE staining and Masson staining were used to analyze morphological changes of the skin. The immunohistochemical staining was used to examine the expression of PKM2 and α-SMA protein in the mouse skin. Western blotting was used to analyze the expression of ColⅠα1 and PKM2 in the mouse skin. Results Compared with the healthy controls, α-SMA protein expression in the dermis of SSc patients was higher, and PKM2 protein expression in the epidermis and dermis of SSc patients increased (P＜0.000 1). PKM2 protein expression in primary fibroblasts of SSc skin was higher than that of healthy controls (P＜0.01); after Tepp-46 stimulation, the levels of ColⅠα1 and α-SMA in SSc fibroblasts decreased (P＜0.01), but PKM2 protein was not affected. In the mice, HE and Masson stainings showed that compared with BLM group, the pathological changes of skin were alleviated in the Tepp-46 group. The immunohistochemical staining results showed the levels of PKM2 and α-SMA in the skin of Tepp-46 group were lower than those of the BLM group (P＜0.000 1). Western blotting results showed the level of ColⅠα1 in the Tepp-46 group was lower than that in the BLM group (P＜0.001). Conclusions The expression of PKM2 protein in SSc skin tissue and primary fibroblasts is up-regulated, and PKM2 agonist Tepp-46 can inhibit SSc skin fibrosis.

Rapid and ultrasensitive detection of pathogen-associated biomarkers is vital for the early diagnosis and therapy of bacterial infections.Herein,we developed a close-packed and ordered Au@AgPt array coupled with a cascade triggering strategy for surface-enhanced Raman scattering(SERS)and colorimetric identification of the Staphylococcus aureus biomarker micrococcal nuclease(MNase)in serum samples.The trimetallic Au@AgPt nanozymes can catalyze the oxidation of 3,3',5,5'-tetramethylbenzidine(TMB)molecules to SERS-enhanced oxidized TMB(oxTMB),accompanied by the color change from colorless to blue.In the presence of S.aureus,the secreted MNase preferentially cut the nucleobase AT-rich regions of DNA sequences on magnetic beads(MBs)to release alkaline phosphatase(ALP),which subsequently mediated the oxTMB reduction for inducing the colorimetric/SERS signal fade away.Using this"on-to-off"triggering strategy,the target S.aureus can be recorded in a wide linear range with a limit of detection of 38 CFU/mL in the colorimetric mode and 6 CFU/mL in the SERS mode.Meanwhile,the MNase-mediated strategy characterized by high specificity and sensitivity successfully discriminated between patients with sepsis(n=7)and healthy participants(n=3),as well as monitored the prog-nostic progression of the disease(n=2).Overall,benefiting from highly active and dense"hot spot"substrate,MNase-mediated cascade response strategy,and colorimetric/SERS dual-signal output,this methodology will offer a promising avenue for the early diagnosis of S.aureus infection.

Objective To mine and analyze adverse drug events(ADEs)of novel agents for multi-drug-resistant tuberculosis(MDR-TB)based on the FDA Adverse Event Reporting System(FAERS)database,to explore the signals of ADEs,and to provide reference for clinical use.Methods The FAERS database was searched and extracted from Q1 of 2015 to Q4 of 2023,and the ADE reports about bedaquiline,delamanid,and pretomanid were collected.Data mining and analysis were carried out on relevant reports of the drug using the reporting odds ratio(ROR),proportional reporting ratio(PRR),medicines and healthcare products regulatory agency(MHRA),and the Bayesian confidence progressive neural network(BCPNN).Results The number of ADE reports for the target drugs bedaquiline,delamanid,and pretomanid were 2 477,1 630,and 173,respectively.ADE of the target drugs involved multiple organ systems.Positive signals detected by the ROR,PRR,MHRA,and BCPNN methods were 246,246,215,204 for bedaquiline;251,251,224,200 for delamanid;and 25,25,24,22 for pretomanid.Clinically significant high-risk signals include prolonged QT interval on ECG,anemia,liver toxicity,peripheral neuropathy,etc.Conclusions The signal mining of ADEs based on the FAERS database indicates that close attention should be paid to risks such as prolonged QT interval on ECG,anemia,liver toxicity,and peripheral neuropathy during the clinical use of bedaquiline,delamanid,and pretomanid.In addition,monitoring of new potential ADE signals(such as acute heart failure,respiratory failure,acute kidney injury,etc.)should be strengthened,and timely intervention measures should be taken to ensure medication safety.

This study aims to simultaneously detect three antibiotic resistance genes(blaNDM,mcr-1 and cfr).A triplex fluorescence quantitative PCR method was established.Plasmids,primers and probes were designed and optimized.The method could specifically detect blaNDM,mcr-1 and cfr,but not other antibiotic resistance genes.The R2 of the standard curves of the three antibiotic re-sistance genes were all greater than 0.999,and the coefficients of variation were all lower than 1％.The lowest detection limits of the plasmids were 1 × 102 copies/μL.This method was used to de-tect 800 bacterial samples.The results showed that 32 samples contained mcr-1 gene,40 samples contained blaNDM gene,2 samples contained cfr gene,8 samples contained both mcr-1 and blaNDM genes.There were no samples carrying three antibiotic resistance genes detected.The results indica-ted that the triplex fluorescence quantitative PCR method established in this experiment had the advantages of high sensitivity,specificity and stability.It was suitable for rapid detection of blaNDM,mcr-1 and cfr antibiotic resistance genes in clinical practice.It provided a convenient and quick method basis for the detection of antibiotic resistance genes.

Objective To mine and analyze adverse drug events(ADEs)of novel agents for multi-drug-resistant tuberculosis(MDR-TB)based on the FDA Adverse Event Reporting System(FAERS)database,to explore the signals of ADEs,and to provide reference for clinical use.Methods The FAERS database was searched and extracted from Q1 of 2015 to Q4 of 2023,and the ADE reports about bedaquiline,delamanid,and pretomanid were collected.Data mining and analysis were carried out on relevant reports of the drug using the reporting odds ratio(ROR),proportional reporting ratio(PRR),medicines and healthcare products regulatory agency(MHRA),and the Bayesian confidence progressive neural network(BCPNN).Results The number of ADE reports for the target drugs bedaquiline,delamanid,and pretomanid were 2 477,1 630,and 173,respectively.ADE of the target drugs involved multiple organ systems.Positive signals detected by the ROR,PRR,MHRA,and BCPNN methods were 246,246,215,204 for bedaquiline;251,251,224,200 for delamanid;and 25,25,24,22 for pretomanid.Clinically significant high-risk signals include prolonged QT interval on ECG,anemia,liver toxicity,peripheral neuropathy,etc.Conclusions The signal mining of ADEs based on the FAERS database indicates that close attention should be paid to risks such as prolonged QT interval on ECG,anemia,liver toxicity,and peripheral neuropathy during the clinical use of bedaquiline,delamanid,and pretomanid.In addition,monitoring of new potential ADE signals(such as acute heart failure,respiratory failure,acute kidney injury,etc.)should be strengthened,and timely intervention measures should be taken to ensure medication safety.

This study aims to simultaneously detect three antibiotic resistance genes(blaNDM,mcr-1 and cfr).A triplex fluorescence quantitative PCR method was established.Plasmids,primers and probes were designed and optimized.The method could specifically detect blaNDM,mcr-1 and cfr,but not other antibiotic resistance genes.The R2 of the standard curves of the three antibiotic re-sistance genes were all greater than 0.999,and the coefficients of variation were all lower than 1％.The lowest detection limits of the plasmids were 1 × 102 copies/μL.This method was used to de-tect 800 bacterial samples.The results showed that 32 samples contained mcr-1 gene,40 samples contained blaNDM gene,2 samples contained cfr gene,8 samples contained both mcr-1 and blaNDM genes.There were no samples carrying three antibiotic resistance genes detected.The results indica-ted that the triplex fluorescence quantitative PCR method established in this experiment had the advantages of high sensitivity,specificity and stability.It was suitable for rapid detection of blaNDM,mcr-1 and cfr antibiotic resistance genes in clinical practice.It provided a convenient and quick method basis for the detection of antibiotic resistance genes.

Objective:To explore the correlation between blastomere count variations “skip value” which extracted from by time-lapse technology (TLT) combined with artificial intelligence (AI) and morphological features of in vitro fertilization (IVF) embryo, and to test its feasibility in clinical applications.Methods:This study was a diagnostic experiment (AI reassessment of embryo transferred patients), a total of 6 545 embryos from 1 226 patients who underwent IVF at the Women and Children′s Hospital of Chongqing Medical University from December 2020 to December 2021 were retrospectively analyzed, of which 2 869 embryos were attempted to cultured to blastocyst stage by TLT. The embryo dynamic map (EDM) was drawn by Embryo Viewer, a TLT recording software, based on embryo developmental kinetics. The self-developed AI embryo evaluation software identified and recorded the number of cleavages in real time during embryonic development, and compared with the EDM, the correlation between the skip value formed by the change of cleavage sphere counts and the outcomes of the embryos was analyzed. The correlation among skip value, morphological score of embryo, implantation rate and live birth rate were performed by Spearman and step-up logistic regression. The receiver operating characteristic (ROC) curve was selected for reporting there relationship of skip value and morphology. Finally, predicting power of skip value for implantation and live birth rate were performed by ROC analysis.Results:The total skip values extracted from the blastomere count of embryos (72 hours post-fertilization) were negatively correlated with abnormal cleavage, blastocyst formation rate, day 3 (D3)-cell score, uneven size and fragmentation (the β values were -0.268, -0.116, -0.213, -0.159 and -0.222, respectively; all P<0.001); positively correlated with D3-cell number ( β=0.034; P<0.001); negatively correlated with blastocyst formation rate and implantation rate ( OR=0.97, 95% CI: 0.93-0.99, P=0.034; OR=0.96, 95% CI: 0.93-0.98, P=0.044). The power of predicting implantation were similar between the order selection of skip values and traditional morphology criteria [area under curve (AUC): 0.679 vs 0.620]. Live birth rate were negatively correlated with female age ( OR=0.91, 95% CI: 0.88-0.93; P<0.001), D3 general score ( OR=0.77, 95% CI: 0.59-0.99; P=0.045) and order selection of skip values ( OR=0.98, 95% CI: 0.96-0.99; P=0.038), while positively correlated with retrieved oocyte number and endometrial thickness in embryo transferred ( OR=1.08, 95% CI:1.05-1.11, P<0.001; OR=1.09, 95% CI:1.06-0.12, P<0.001, respectively) from multivariate regression analysis, and the power of predicting live birth was 0.666 for AUC. Conclusions:The skip value and its order form is a systematic quantification of embryo development, correlated with embryo developmental quality and clinical outcome. It could be an addition parameter for embryo culture and selection.