BACKGROUND:Human periodontal ligament stem cells are potential functional cells for periodontal tissue engineering.However,long-term in vitro culture may lead to reduced stemness and replicative senescence of periodontal ligament stem cells,which may impair the therapeutic effect of human periodontal ligament stem cells. OBJECTIVE:To investigate the effect of oxymatrine on the stemness maintenance and osteogenic differentiation of periodontal ligament stem cells in vitro,and to explore the potential mechanism. METHODS:Periodontal ligament stem cells were isolated from human periodontal ligament tissues by tissue explant enzyme digestion and cultured.The surface markers of mesenchymal cells were identified by flow cytometry.Periodontal ligament stem cells were incubated with 0,2.5,5,and 10 μg/mL oxymatrine.The effect of oxymatrine on the proliferation activity of periodontal ligament stem cells was detected by CCK8 assay.The appropriate drug concentration for subsequent experiments was screened.Western blot assay was used to detect the expression of stem cell non-specific proteins SOX2 and OCT4 in periodontal ligament stem cells.qRT-PCR and western blot assay were used to detect the expression levels of related osteogenic genes and proteins in periodontal ligament stem cells. RESULTS AND CONCLUSION:(1)The results of CCK8 assay showed that 2.5 μg/mL oxymatrine significantly enhanced the proliferative activity of periodontal stem cells,and the subsequent experiment selected 2.5 μg/mL oxymatrine to intervene.(2)Compared with the blank control group,the protein expression level of SOX2,a stem marker of periodontal ligament stem cells in the oxymatrine group did not change significantly(P>0.05),and the expression of OCT4 was significantly up-regulated(P<0.05).(3)Compared with the osteogenic induction group,the osteogenic genes ALP,RUNX2 mRNA expression and their osteogenic associated protein ALP protein expression of periodontal ligament stem cells were significantly down-regulated in the oxymatrine+osteogenic induction group(P<0.05).(4)The oxymatrine up-regulated the expression of stemness markers of periodontal ligament stem cells and inhibited the bone differentiation of periodontal ligament stem cells,and the results of high-throughput sequencing showed that it may be associated with WNT2,WNT16,COMP,and BMP6.

Aim To explore the effects of Lycium berry seed oil on Nrf2/ARE pathway and oxidative damage in testis of subacute aging rats. Methods Fifty out of 60 male SD rats, aged 8 weeks, were subcutaneously injected with 125 mg • kg"D-galactosidase in the neck for 8 weeks to establish a subacute senescent rat model. The presence of senescent cells was observed using P-galactosidase ((3-gal), while testicular morphology was examined using HE staining. Serum levels of testosterone (testosterone, T), follicle-stimulating hormone ( follicle stimulating hormone, FSH ) , luteinizing hormone ( luteinizing hormone, LH ) , superoxide dis-mutase ( superoxide dismutase, SOD ) , glutathione ( glutathione, GSH) and malondialdehyde ( malondial-dehyde, MDA) were measured through ELISA, and the expressions of factors related to aging, oxidative damage, and the Nrf2/ARE pathway were assessed via immunohistochemical analysis and Western blotting. Results After successfully identifying the model, the morphology of the testis was improved and the intervention of Lycium seed oil led to a down-regulation in the expression of [3-gal and -yH2AX. The serum levels of SOD, GSH, T, and FSH increased while MDA and LH decreased (P 0. 05) . Additionally, there was an up-regulated expression of Nrf2, GCLC, NQOl, and SOD2 proteins in testicular tissue ( P 0. 05 ) and nuclear expression of Nrf2 in sertoli cells. Conclusion Lycium barbarum seed oil may reduce oxidative damage in testes of subacute senescent rats by activating the Nrf2/ARE signaling pathway.

Objective: To analyze the relationship between new surrogate marks of insulin resistance (IR) and bone mineral content (BMC) in adolescents, and predictive value of the new surrogate marks on low bone mass, so as to provide scientific basis for early identification and prevention of skeletal related diseases in adolescents. Methods: A total of 1 594 adolescents aged 12-18 years in Yinchuan City were selected by convenience sampling and stratified cluster random sampling from September 2017 to September 2020, and triglyceride and glucose index (TyG), triglyceride glucose-body mass index (TyG-BMI) and triglyceride/high density lipoprotein cholesterol (TG/HDL-C) were calculated as new simplified IR index. The correlation between different simplified IR indexes and BMC level was analyzed by partial correlation. Binary Logistic regression was used to analyze the relationship between IR index and low bone mass, and receiver operating characteristic (ROC) curve was constructed to analyze its evaluation effect on low bone mass. Results: After adjusting for confounding factors such as gender, age, smoking, drinking, family history of hypertension, systolic blood pressure (SBP) and diastolic blood pressure (DBP), the new surrogate marks of IR were positively correlated with BMC level (TyG: r =0.11, TyG-BMI: r =0.58, TG/HDL-C: r =0.21, P <0.01). After further adjustment of body mass index (BMI), fat mass (FM) and lean mass (LM), the relationship between IR indexes and BMC turned into negative correlation (TyG: r =-0.20, TyG-BMI: r =-0.18, TG/HDL-C: r=-0.14, P <0.01). After adjusting for confounding factors such as gender, age, smoking, drinking, family history of hypertension, SBP and DBP, Logistic regression results showed that the increase of TyG, TyG-BMI and TG/HDL-C levels reduced the possibility of low bone mass in adolescents (TyG: OR=0.63, 95%CI = 0.40-0.98, TyG-BMI: OR=0.94, 95%CI =0.93-0.96, TG/HDL-C: OR=0.31, 95%CI=0.17-0.58, P <0.01). After adjusting BMI, FM and LM, the above results were completely reversed. Girls with high TyG and TG/HDL-C levels were 4.95 and 4.38 times more likely to have low bone mass than those with low TyG and TG/HDL-C levels (TyG: OR=4.95, 95%CI =1.29- 18.95 , TG/HDL-C: OR=4.38, 95%CI=1.04-18.50, P <0.05). ROC curve showed that TyG-BMI had the best predictive value on low bone mass (AUC=0.80, 95% CI=0.77-0.83, P <0.01). Conclusion The new surrogate marks of IR in adolescents are negatively correlated with adolescent BMC, of which TyG-BMI is the best for assessing of low bone mass and can serving as a reliable indicator for early identification of low bone mass.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective To study the role of sphingosine-1-phosphate(S1P)signal on the proliferation of breast cancer BT549 cells.Methods Cells were divided into control group and experimental group,experimental group were treated with 0.1,1.0,10.0 μmol·L-1 S1P receptor agonist SEW2871 for 72 h.Control group was cultured with 0.1％fetal bovine serum.Cell proliferation was detected by methyl thiazolyl tetrazolium(MTT)assay.Cell models of overexpressing S1P receptors in BT549 were divided into three groups:blank plasmid group(LUC),wild type S1P receptor overexpression group(WT),S1P receptor phosphorylation site mutation overexpression group(MUT);the proliferation ratio was detected by MTT,the number of cell clones was counted by colony formation experiment.S1P antagonist W146(10 μmol·L-1)and protein kinase(AKT)signaling inhibitor MK2206(90 nmol·L-1)were used to detect the role of S1P signaling in the proliferation of breast cancer cells.The expression of phosphorylate signal transducer and activator of transcription 3(p-STAT3),c-Myc proteins were detected by Western blot.Results The growth ratio of BT549 cells in control group and 0.1,1.0,10.0 μmol·L-1experimental groups were 1.00±0.03,1.13±0.06,1.06±0.10 and 1.07±0.03,0.1 μmol·L-1 SEW2871 promot the cell proliferation(P＜0.05).Compared between WT group,MUT group and LUC group,the growth rate and the number of clonal colonies were increased after overexpression of S1P receptor(all P＜0.05).The growth ratio of BT549 cells after treatment with W146 and MK2206 in the LUC group,WT group and MUT group were 1.25±0.12,1.31±0.03,1.43±0.14 and 0.87±0.15,0.77±0.03,0.88±0.02.Compared between MUT group,WT group and corresponding DMSO group,the differences were statistically significant(all P＜0.01).The number of cell clony formation number after treatment with W146 were 65.65±5.12,141.48±5.63 and 93.64±5.14;compared between MUT,WT group and corresponding DMSO group,the differences were statistically significant(all P＜0.05).The relative protein expression levels of p-STAT3 in LUC group,WT group and MUT group were 0.67±0.04,0.69±0.08 and 0.81±0.06,the relative protein expression levels of proto-oncogene c-Myc were 1.69±0.03,0.70±0.10 and 0.67±0.07,compared between WT group,MUT group and corresponding DMSO group,the difference was statistically significant(P＜0.05).Conclusion S1P signaling can promote proliferation in breast cancer BT549 cells,and the mechanism could be related to AKT and STAT3 signaling pathway.

Objective To evaluate the bioequivalence of test and reference mirabegron sustained release tablets under fasting/postprandial conditions.Methods A randomized,open,single dose,four cycle,two sequence,self-crossover trial design was used.32 healthy subjects respectively for fasting and fed study were enrolled,who were randomized to a single oral dose of 50 mg of either reference or test preparation of mirabegron sustained release tablets.The plasma concentration of mirabegron in healthy subjects after oral administration was detected by liquid chromatography tandem mass spectrometry,and Phoenix WinNonlin 8.2 software was used to calculate pharmacokinetic parameters and perform bioequivalence analysis.Results Subjects received a single oral dose of the reference and test formulations of mirabegron.The main pharmacokinetic parameters of mirabegron in the fasting study were asfollows:Cmaxwere(43.91±21.40)and(40.82±24.94)ng·mL-1,AUC0-t were(464.45±149.01)and(452.67±157.63)h·ng·mL-1,AUC0-∞were(501.64±162.39)and(488.70±173.81)h·ng·mL-1.The main pharmacokinetic parameters of mirabegron in the fed study were as follows:Cmax were(16.90±8.94)and(16.90±9.66)ng·mL-1,AUC0-t were(247.09±82.53)and(243.22±78.20)h·ng·mL-1,AUC0-∞ were(269.58±86.52)and(265.66±81.89)h·ng·mL-1.The 90％confidence intervals for the geometric means of Cmax,AUC0-t and AUC0-∞ for reference and test preparations in the fasting and fed groups were in the range of 80.00％to 125.00％.Conclusions The test and reference formulation of mirabegron sustained release tablets were bioeguivalence.

Objective To improve the efficiency of hospital antimicrobial management and ensure rational clinical use of antimicrobial agents with the aid of antimicrobial stewardship(AMS)empowered by digital intelligence tech-nology in hospital.Methods Information systems such as early warning of antimicrobial indexes,closed-loop ma-nagement of microbial detection information,and decision-making system of antimicrobial resistance monitoring data were applied to the traditional AMS system.Through hospital information systems(HIS)to collect data about thera-peutic antimicrobial use and healthcare-associated infection(HAI)quality control indexes of hospitalized patients in a tertiary first-class public hospital in Shenzhen City before and after digital technology improvement,indexes of 2021 and 2022 were as control group(before improvement)and observation group(after improvement)respective-ly,improvement trend of antimicrobial management was compared.Results After upgrading and renovating the hospital information system,hospital antimicrobial management indexes improved significantly compared to before the renovation.The use rate of antimicrobial agents and the preventive use rate of antimicrobial agents in class Ⅰincision surgery in patients in the observation group were both lower than those in the control group(27.0％vs 38.8％,20.9％vs 23.8％,respectively,both P＜0.05).Antimicrobial use density in hospitalized patients in the observa-tion group was lower than that in the control group([33.27±3.03]DDDs vs[42.06±4.42]DDDs),difference was statistically significant(t=13.11,P＜0.001).The observation group had a higher qualified rate for evaluating antimicrobial medical orders compared to the control group(98.5％vs 96.8％).The pathogenic detection rate of hospitalized patients before therapeutic antimicrobial use and pathogen detection rate related to HAI diagnosis were both higher than those in the control group(87.1％vs 84.5％,99.0％vs 95.4％,respectively),differences were both statistically significant(both P＜0.05).Conclusion Empowering the hospital's AMS system with digital technology can promote more scientific,standardized,efficient,and rational antimicrobial management in hospitals.

Objective To understand the pathogen detection of hospitalized patients before antimicrobial therapy in a hospital through implementation of comprehensive intervention measures,and provide reference basis for the de-velopment of targeted measures.Methods Hospitalized patients who received therapeutic antimicrobial agents in this hospital were selected as the research subjects.Patients who were hospitalized from January to May 2022 were selected as the pre-intervention group,comprehensive intervention measures were taken from June to October 2022,and those who were hospitalized from November 2022 to March 2023 were selected as the post-intervention group.The pathogen detection rate before antimicrobial therapy,sterile specimen detection rate,antimicrobial use rate,de-tection rate of key multidrug-resistant organisms of patients before and after the intervention were analyzed.Results Compared to before intervention,the proportion of pathogen detection rate before antimicrobial therapy(62.09％vs 74.04％),detection rate of healthcare-associated infection diagnosis-related pathogens(62.82％vs 92.73％),and sterile specimen detection rate(35.17％vs 41.06％)of hospitalized patients after intervention all increased signifi-cantly,with statistically significant differences(all P＜0.05).After intervention,pathogen detection rate before the combination use of key antimicrobial agents was not statistically different from before intervention(93.33％vs 90.48％,P＞0.05),while antimicrobial use rate was lower than before intervention(39.93％vs 44.95％,P＜0.05).There was no statistically significant difference in the detection rate of key multidrug-resistant organisms be-fore and after intervention(all P＞0.05).Conclusion Adopting scientific and rational intervention measures can improve the pathogen detection rate,provide a reference basis for the rational use of antimicrobial agents.There was no significant improvement in the pathogen detection rate before the combination use of key antimicrobial agents and the detection rate of key multidrug-resistant organisms,indicating that relevant measures still need to be further optimized.

Objective As primary Sj?gren's syndrome(pSS)primarily affects the salivary glands,saliva can serve as an indicator of the glands'pathophysiology and the disease's status.This study aims to illustrate the salivary proteomic profiles of pSS patients and identify potential candidate biomarkers for diagnosis. Methods The discovery set contained 49 samples(24 from pSS and 25 from age-and gender-matched healthy controls[HCs])and the validation set included 25 samples(12 from pSS and 13 from HCs).Totally 36 pSS patients and 38 HCs were centrally randomized into the discovery set or to the validation set at a 2:1 ratio.Unstimulated whole saliva samples from pSS patients and HCs were analyzed using a data-independent acquisition(DIA)strategy on a 2D LC-HRMS/MS platform to reveal differential proteins.The crucial proteins were verified using DIA analysis and annotated using gene ontology(GO)and International Pharmaceutical Abstracts(IPA)analysis.A prediction model for SS was established using random forests. Results A total of 1,963 proteins were discovered,and 136 proteins exhibited differential representation in pSS patients.The bioinformatic research indicated that these proteins were primarily linked to immunological functions,metabolism,and inflammation.A panel of 19 protein biomarkers was identified by ranking order based on P-value and random forest algorichm,and was validated as the predictive biomarkers exhibiting good performance with area under the curve(AUC)of 0.817 for discovery set and 0.882 for validation set. Conclusions The candidate protein panel discovered may aid in pSS diagnosis.Salivary proteomic analysis is a promising non-invasive method for prognostic evaluation and early and precise treatments for pSS patients.DIA offers the best time efficiency and data dependability and may be a suitable option for future research on the salivary proteome.

In order to study the compounds from Glechoma longituba (Nakai) Kupr. and explore the substance bases of its dissipating blood stasis, MCI, silica gel, Sephadex LH-20, ODS column chromatography and preparative thin layer chromatography were used to isolate and purify the compounds. The structures were identified by MS, 1D NMR, and 2D NMR spectra analysis, etc. Eight triterpenoids were isolated from dichloromethane fraction of ethanol extract from G. longituba and identified as 2α,3α,16β-trihydroxy-13α,27-cyclours-11-en-28-oic acid (1), 28-norurs-12-ene-3β,17β-diol (2), 28-norolean-12-ene-3β,17β-diol (3), oleanonic acid (4), 3β,13β-dihydroxyurs-11-en-28-oic acid (5), uvaol (6), oleanolic acid (7), ursolic acid (8). Compound 1 is a new hexacyclic triterpene with 13α,27-cyclopropane structure, named euscaphic acid H; compounds 2 and 3 were isolated from Lamiaceae for the first time while compounds 4 and 5 were isolated from this genus. The in vitro anticoagulant activity of triterpenoids was evaluated by four coagulation indexes (activated partial thromboplastin time, APTT; thrombin time, TT; prothrombin time, PT; fibrinogen, FIB). Among them, compounds 1 and 6 showed obvious anticoagulant effects.