Objective To investigate the effects of miR-126 on myocardial remodeling and macrophage polarization after acute myocardial infarction(AMI).Methods(1)Twenty-one rats were divided into a sham operation group and an AMI group.The AMI group was further divided into postoperative days 1,3,5,7,9,and 11 days(AMI-1,AMI-3,AMI-5,AMI-7,AMI-9,AMI-11),with 3 rats in each group,and postoperative day 3 was selected for subsequent study.(2)Thirty rats were randomly divided into three groups:sham operation group,AMI group and miR-126 overexpression group,with 10 rats in each group.RT-qPCR was used to detect the expression levels of miR-126 mRNA.2,3,5-Triphenyltetrazole chloride(TTC)staining was used to detect the infarct size.Myocardial fibrosis was detected by Masson staining.The cross-sectional area of the myocardium was determined by H&E staining.Immunofluorescence staining was used to detect the protein levels of CD86 and CD206 in myocardial tissue.Western blotting was used to detect the protein levels of CD86 and CD206 in myocardial tissue.The levels of tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β)and IL-6 in serum were detected by ELISA kit.Results Compared with the sham operation group,the expression level of miR-126 mRNA in myocardial tissue of rats in the AMI group was significantly decreased on postoperative day 1(P<0.05),reached the lowest level on postoperative day 3.And then although it rose to a certain extent,it remained lower than that of the sham operation group on postoperative day 11(P<0.05),and postoperative day 3 was selected for further study.Compared with the sham operation group,the expression of miR-126 mRNA in myocardial tissue of the AMI group was decreased(P<0.05),and the myocardial fibrosis,infarct size and myocardial cross-sectional area were increased(P<0.05).The expression of CD86 protein in myocardial tissue was increased and the expression of CD206 protein was decreased(P<0.05).The serum levels of TNF-α,IL-6 and IL-1β were increased(P<0.05).Compared with the AMI group,the rats in the miR-126 overexpression group had a significant increase in the mRNA expression of miR-126 in myocardial tissue(P<0.05),a significant reduction in myocardial fibrosis,infarct size,and myocardial cross-sectional area(P<0.05),a significant reduction in the expression of CD86 protein in myocardial tissue,and a significant increase in the expression of CD206 protein(P<0.05).The serum levels of TNF-α,IL-6 and IL-1β were significantly decreased(P<0.05).Conclusion Over-expression of miR-126 can improve myocardial remodeling and promote M2 macrophage polarization in AMI rats.

BACKGROUND:Steroid-induced osteonecrosis of the femoral head is a refractory disease in the field of orthopedics.There is no definitive idea to fully explain its pathogenesis.With the increased research on the active ingredients of Panax notoginseng interfering with the signaling pathways related to various diseases,the active ingredients of Panax notoginseng that treat steroid-induced necrosis of the femoral head via the regulation of relevant signaling pathways have gradually become a hot research topic. OBJECTIVE:To systematically summarize the literature on the pathological mechanism of steroid-induced osteonecrosis of the femoral head and the regulation of signaling pathways by the active ingredients of Panax notoginseng in recent years,thereby providing a reference for the follow-up study on the active ingredients of Panax notoginseng in the treatment of this disease. METHODS:CNKI,WanFang,and PubMed were searched for relevant literature with the key words of"glucocorticoid,steroid-induced osteonecrosis of the femoral head,pathological mechanism,signaling pathway,Panax notoginseng,active ingredient"in Chinese and English.Documents related to the pathological mechanism of steroid-induced osteonecrosis of the femoral head as well as related to the intervention of active ingredients of Panax notoginseng on the signaling pathway of steroid-induced osteonecrosis of the femoral head were retrieved.A total of 63 documents were finally included according to the inclusion and exclusion criteria. RESULTS AND CONCLUSION:The main ingredients of Panax notoginseng include Panax notoginseng saponins,ginsenoside,Panax notoginseng saponins,quercetin,kaempferol,etc.Panax notoginseng saponins,ginsenoside Rb1 and quercetin can promote bone repair and angiogenesis by acting on the transforming growth factor-β/bone morphogenetic protein pathway.Panax notoginseng saponins,ginsenoside CK and kaempferol can promote osteogenic differentiation and lipid metabolism by acting on the Wnt/β-catenin pathway.Panax notoginseng saponins and Panax notoginseng saponins R1/R2 act on the MAPK pathway to inhibit osteoclastogenesis and promote bone repair.Panax notoginseng saponins,ginsenoside Rb2 and quercetin can inhibit osteoclast proliferation and promote osteoblastic differentiation by acting on the RANKL/RANK/OPG pathway.Panax notoginseng saponins,quercetin and kaempferol can repair vascular injury and promote osteogenesis by acting on the hypoxia-inducible factor-1α pathway.Panax notoginseng saponins R1,quercetin combined with hydroxyapatite nanoparticles,Panax notoginseng saponins combined with polyethylene-L-lactic acid and other biomaterials have good research prospects in the treatment of steroid-induced osteonecrosis of the femoral head.The active ingredients of Panax notoginseng can regulate the signaling pathways related to steroid-induced osteonecrosis of the femoral head through various mechanisms,and play an active intervention role in the disease.However,the depth and breadth of relevant research are insufficient at present,and the future research should be based on the existing mechanism to explore the specific mechanism of Panax notoginseng regulating different pathways and the interaction between pathways,which will be beneficial to the multi-development of the active ingredients of Panax notoginseng in the treatment of steroid-induced osteonecrosis of the femoral head.

Purpose::To identify the risk factors for training-related lower extremity muscle injuries in young males by a non-invasive method of body composition analysis.Methods::A total of 282 healthy young male volunteers aged 18 -20 years participated in this cohort study. Injury location, degree, and injury rate were adjusted by a questionnaire based on the overuse injury assessment methods used in epidemiological studies of sports injuries. The occurrence of training injuries is monitored and diagnosed by physicians and treated accordingly. The body composition was measured using the BodyStat QuadScan 4000 multifrequency Bio-impedance system at 5, 50, 100 and 200 kHz to obtain 4 impedance values. The Shapiro-Wilk test was used to check whether the data conformed to a normal distribution. Data of normal distribution were shown as mean ± SD and analyzed by t-test, while those of non-normal distribution were shown as median (Q 1, Q 3) and analyzed by Wilcoxon rank sum test. The receiver operator characteristic curve and logistic regression analysis were performed to investigate risk factors for developing training-related lower extremity injuries and accuracy. Results::Among the 282 subjects, 78 (27.7%) developed training injuries. Lower extremity training injuries revealed the highest incidence, accounting for 23.4% (66 cases). These patients showed higher percentages of lean body mass ( p = 0.001), total body water (TBW, p=0.006), extracellular water ( p=0.020) and intracellular water ( p=0.010) as well as a larger ratio of basal metabolic rate/total weight ( p=0.006), compared with those without lower extremity muscle injuries. On the contrary, the percentage of body fat ( p=0.001) and body fat mass index ( p=0.002) were lower. Logistic regression analysis showed that TBW percentage > 65.35% ( p=0.050, odds ratio =3.114) and 3rd space water > 0.95% ( p=0.045, odds ratio =2.342) were independent risk factors for lower extremity muscle injuries. Conclusion::TBW percentage and 3rd space water measured with bio-impedance method are potential risk factors for predicting the incidence of lower extremity muscle injuries in young males following training.

Objective To investigate the effect of radiation on cardiomyocyte apoptosis and its related mechanism.Methods Rat H9C2 cardiomyocytes were divided into blank control group,X-ray irradiation group(X-ray group),X-ray irradiation+microRNA(miRNA)-134-5p inhibitor group(X-inhibitor group)and X-ray irradiation+miRNA-134-5p inhibitor negative control group(X-NC group).H9C2 cardiomyocytes were irradiated with 6 Gy X-ray,and the changes of various indexes were detected 48 h after irradiation.Cell viability was detected by cell counting kit 8 assay.The apoptosis rate was detected by flow cytometry and Hoechst 33342 staining.The level of reactive oxygen species(ROS)in cells was detected by DCFH-DA fluorescence probe.The mitochondrial membrane potential was detected by JC-1 method.The activity of superoxide dismutase(SOD)and the level of malondialdehyde(MDA)in cells were measured by kits.The expression of miRNA-134-5p was detected by quantitative polymerase chain reaction.The protein expression of brain-derived neurotrophic factor(BDNF),protein kinase B(Akt),phosphorylated Akt(p-Akt),Bcl2 and Bax was detected by Western blotting.Results Compared with the blank control group,in the X-ray group the levels of ROS and MDA were significantly increased,the activity of SOD was significantly decreased,the decreased percentage in mitochondrial membrane potential was significantly increased,the number of micronuclei of DNA damage was significantly increased,and the apoptosis rate was significantly increased(all P＜0.01).Compared with the X-ray group,all the indexes of the X-inhibitor group were reversed(P＜0.05 or P＜0.01),while there was no significant difference in the above parameters in the X-NC group(all P＞0.05).Compared with the blank control group,the X-ray group had a significant increase in the miRNA-134-5p level and significant reductions in the protein level of BDNF,Bcl2/Bax ratio,and p-Akt/Akt ratio(all P＜0.01).Compared with the X-ray group,the X-inhibitor group had a significant reduction in the level of miRNA-134-5p and significant increases in the protein level of BDNF,Bcl2/Bax ratio,and p-Akt/Akt ratio(all P＜0.01),and there was no significant difference in all parameters in the X-NC group(all P＞0.05).Conclusion X-ray irradiation can induce oxidative stress,mitochondrial damage,and DNA damage,eventually leading to apoptosis in rat cardiomyocytes,and the mechanism may involve miRNA-134-5p/BDNF/Akt signaling pathway.

Objective:To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.Methods:The patients with septic shock meeting the Sepsis-3 criteria were selected from Medical Information Mart for Intensive Care-Ⅳ v2.0 (MIMIC-Ⅳ v2.0). According to the principle of random allocation, 70% of these patients were used as the training set, and 30% as the validation set. Relevant predictive variables were extracted from three aspects: demographic characteristics and basic vital signs, serum indicators within 24 hours of intensive care unit (ICU) admission and complications possibly affecting indicators, functional scoring and advanced life support. The predictive efficacy of models constructed using five mainstream machine learning algorithms including decision tree classification and regression tree (CART), random forest (RF), support vector machine (SVM), linear regression (LR), and super learner [SL; combined CART, RF and extreme gradient boosting (XGBoost)] for 28-day death in patients with septic shock was compared, and the best algorithm model was selected. The optimal predictive variables were determined by intersecting the results from LASSO regression, RF, and XGBoost algorithms, and a predictive model was constructed. The predictive efficacy of the model was validated by drawing receiver operator characteristic curve (ROC curve), the accuracy of the model was assessed using calibration curves, and the practicality of the model was verified through decision curve analysis (DCA).Results:A total of 3?295 patients with septic shock were included, with 2?164 surviving and 1?131 dying within 28 days, resulting in a mortality of 34.32%. Of these, 2?307 were in the training set (with 792 deaths within 28 days, a mortality of 34.33%), and 988 in the validation set (with 339 deaths within 28 days, a mortality of 34.31%). Five machine learning models were established based on the training set data. After including variables at three aspects, the area under the ROC curve (AUC) of RF, SVM, and LR machine learning algorithm models for predicting 28-day death in septic shock patients in the validation set was 0.823 [95% confidence interval (95% CI) was 0.795-0.849], 0.823 (95% CI was 0.796-0.849), and 0.810 (95% CI was 0.782-0.838), respectively, which were higher than that of the CART algorithm model (AUC = 0.750, 95% CI was 0.717-0.782) and SL algorithm model (AUC = 0.756, 95% CI was 0.724-0.789). Thus above three algorithm models were determined to be the best algorithm models. After integrating variables from three aspects, 16 optimal predictive variables were identified through intersection by LASSO regression, RF, and XGBoost algorithms, including the highest pH value, the highest albumin (Alb), the highest body temperature, the lowest lactic acid (Lac), the highest Lac, the highest serum creatinine (SCr), the highest Ca 2+, the lowest hemoglobin (Hb), the lowest white blood cell count (WBC), age, simplified acute physiology score Ⅲ (SAPSⅢ), the highest WBC, acute physiology score Ⅲ (APSⅢ), the lowest Na +, body mass index (BMI), and the shortest activated partial thromboplastin time (APTT) within 24 hours of ICU admission. ROC curve analysis showed that the Logistic regression model constructed with above 16 optimal predictive variables was the best predictive model, with an AUC of 0.806 (95% CI was 0.778-0.835) in the validation set. The calibration curve and DCA curve showed that this model had high accuracy and the highest net benefit could reach 0.3, which was significantly outperforming traditional models based on single functional score [APSⅢ score, SAPSⅢ score, and sequential organ failure assessment (SOFA) score] with AUC (95% CI) of 0.746 (0.715-0.778), 0.765 (0.734-0.796), and 0.625 (0.589-0.661), respectively. Conclusions:The Logistic regression model, constructed using 16 optimal predictive variables including pH value, Alb, body temperature, Lac, SCr, Ca 2+, Hb, WBC, SAPSⅢ score, APSⅢ score, Na +, BMI, and APTT, is identified as the best predictive model for the 28-day death risk in patients with septic shock. Its performance is stable, with high discriminative ability and accuracy.

AIM:This study examined the inhibitory effect of peiminine on the human colonic adenocarcino-ma cell line SW480 and explored the underlying mechanisms.METHODS:SW480 and human normal colonic epithelial CCD-841CoN cells were treated with different concentrations of peiminine and subjected to the CCK-8 assay to select the optimal treatment time and concentration of the compound.SW480 cell migration and invasion were evaluated by the wound-healing and Transwell assays.Cell cycle progression was analyzed by flow cytometry.The expression levels of cell cycle-related proteins were examined by Western blot.SW480 xenograft tumor model was established in nude mice to ex-amine the effect of peiminine on tumor growth and the expression of cell cycle-related proteins in vivo.RESULTS:Peimi-nine(110 mg/L)significantly inhibited the proliferation of SW480 cells compared with the control group(P<0.01),caused cell cycle arrest at G1 phase,and significantly downregulated the expression of cyclin dependent kinase 2(CDK2),CDK4,CDK6,cyclin D1,p-Rb/Rb,E2F1,E2F3,and E2F4(P<0.05).Peiminine inhibited SW480 xenograft tumor growth,prolonged the survival of model mice,and affected the expression of CDK2,CDK4,CDK6,and cyclin D1 in tu-mor tissues.CONCLUSION:Peiminine promotes G1 phase arrest by down-regulating the expression of CDK2,CDK4,CDK6,and cyclin D1,thereby inhibiting the proliferation of SW480 cells.

AIM:To explore the effect and mechanism of action of the aqueous extract of Fritillaria ussuriensis(FU-AE)against nonalcoholic fatty liver disease(NAFLD).METHODS:The association between Fritillaria ussuriensis Maxir.(FU)and NAFLD was analyzed by network pharmacology.A mouse model of NAFLD was induced in mice by high fat diet(HFD)+10%fructose drinking water,and three doses of Fritillaria ussuriensis aqueous extract were given to the mice for intervention.Colorimetric assay was used for detection of aspartate aminotransferase(AST),alanine aminotrans-ferase(ALT),triglyceride(TG),total cholesterol(TC),high-density lipoprotein cholesterol(HDL-C),and low-density lipoprotein cholesterol(LDL-C)levels in the serum of experimental mice.Hematoxylin and eosin staining was used to as-sess the pathological and histological changes in the liver of mice and to clarify the anti-NAFLD effect of aqueous extracts of Fritillaria ussuriensis.Liver tissue proteins were extracted,and expression of proteins related to the AMP-activated pro-tein kinase(AMPK)/acetyl-CoA carboxylase(ACC)pathway was detected by Western blot to clarify the mechanism of an-ti-NAFLD action of Fritillaria ussuriensis.The microbial composition of cecum contents was explored using 16S rRNA se-quencing to reveal the modulatory effect of the aqueous extract of Fritillaria ussuriensis on the structure of intestinal flora in mice with nonalcoholic fatty liver disease.RESULTS:Aqueous extract of Fritillaria ussuriensis(high dose)ameliorated exogenous adipocyte infiltration in the liver of mice with NAFLD(P<0.05).AST,ALT,TG,TC and LDL-C levels were significantly decreased(P<0.05)and HDL-C levels were significantly increased(P<0.05)in the high-dose group.Aque-ous extract of Fritillaria ussuriensis(high dose)significantly increased expression of phosphorylated AMPKα,AMPKα,and phosphorylated ACC in the livers of the model mice(P<0.05),significantly reduced expression of ACC(P<0.05),and significantly increased the relative abundance of the potentially beneficial bacteria Faecalibaculum rodentium,Lacto-bacillus johnsonii,Akkermansia muciniphila(P<0.05).CONCLUSION:Aqueous extract of Fritillaria ussuriensis may ameliorate NAFLD in mice by activating the AMPK/ACC pathway and modulating the structure of intestinal flora.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8％(62 219/261 893),and gram-negative bacteria 76.2％(199 674/261 893).The most common species were E.coli(46.7％),E.faecium(10.4％),K.pneumoniae(9.8％),E.faecalis(8.7％),P.mirabilis(3.5％),P.aeruginosa(3.4％),SS.agalactiae(2.6％),and E.cloacae(2.1％).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2％,52.8％and 37.0％,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7％,18.5％,16.4％,and 40.3％,respectively.Lower than 10％of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90％of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was＜2％.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.