BACKGROUND: Salvianolate is a compound mainly composed of salvia magnesium acetate, which is extracted from the Chinese herb Salvia miltiorrhiza . In recent years, salvianolate injection has been widely used in the treatment of cardiovascular diseases, but the mechanism of how it can alleviate cardiotoxicity remains unclear. METHODS: The cardiac injury model was constructed by treatment with doxorubicin (Dox) or azithromycin (Azi) in zebrafish larvae. Heart phenotype, heart rate, and cardiomyocyte apoptosis were observed in the study. RNA-sequencing (RNA-seq) analysis was used to explore the underlying mechanism of salvianolate treatment. Moreover, cardiomyocyte autophagy was assessed by in situ imaging. In addition, the miR-30a/becn1 axis regulation by salvianolate was further investigated. RESULTS: Salvianolate treatment reduced the proportion of pericardial edema, recovered heart rate, and inhibited cardiomyocyte apoptosis in Dox/Azi-administered zebrafish larvae. Mechanistically, salvianolate regulated the lysosomal pathway and promoted autophagic flux in zebrafish cardiomyocytes. The expression level of becn1 was increased in Dox-induced myocardial tissue injury after salvianolate administration; overexpression of becn1 in cardiomyocytes alleviated the Dox/Azi-induced cardiac injury and promoted autophagic flux in cardiomyocytes, while becn1 knockdown blocked the effects of salvianolate. In addition, miR-30a, negatively regulated by salvianolate, partially inhibited the cardiac amelioration of salvianolate by targeting becn1  directly. CONCLUSION This study has proved that salvianolate reduces cardiomyopathy by regulating autophagic flux through the miR-30a/becn1 axis in zebrafish and is a potential drug for adjunctive Dox/Azi therapy.
Animals ; Zebrafish ; MicroRNAs/genetics* ; Autophagy/drug effects* ; Myocytes, Cardiac/metabolism* ; Cardiomyopathies/metabolism* ; Beclin-1/genetics* ; Apoptosis/drug effects* ; Plant Extracts/therapeutic use* ; Doxorubicin

Rheumatoid arthritis (RA) represents a persistent autoimmune condition distinguished by a multifaceted etiology that encompasses both genetic and environmental factors. Recent progress in understanding the mechanisms behind RA pathogenesis has delved into the critical role of epigenetic regulatory processes, including DNA methylation, histone modifications, and the regulation by microRNAs (miRNAs). These findings provide new insights into the intricate nature of RA and pave the way for innovative therapeutic strategies. This review consolidates the latest developments in the epigenetic regulation of RA, concentrating on how these mechanisms affect the dysregulated signaling pathways associated with the disease. We analyze the roles of specific proteins that function as 'writers', 'erasers', and 'readers' in epigenetic modifications, highlighting their potential as targets for therapeutic intervention. Additionally, in view of the significance of miRNAs in the pathogenesis of RA, we deliberate on their involvement in disease progression and explore miRNA-based treatment strategies. By integrating these diverse epigenetic dimensions, this review offers a comprehensive epigenetic perspective on RA pathogenesis and identifies promising avenues for future research and therapeutic interventions.

Objective To understand the clinical distribution characteristics and drug-resistance genotypes of carbapenem-resistant Pseudomonas aeruginosa(CRPA)in a tertiary hospital in Shanghai,so as to guide the rational use of antibiotics,reduce bacterial resistance and control nosocomial infections.Methods A total of 94 consecutive and non-redundant CRPA strains isolated from clinical specimens were collected in The First Affiliated Hospital of Naval Medical University between Jan.1,and Dec.31,2019.The distribution of CRPA across departments and sample sources were analyzed.Antimicrobial susceptibility testing against 13 antibiotics was determined using the VITEK 2 Compact automated microbiology analyzer and the Kirby-Bauer disk diffusion method.Polymerase chain reaction(PCR)was employed to detect genes encoding extended-spectrum β-lactamase resistance gene,carbapenemase resistance gene,and porin resistance gene.Homology analysis of selected isolates was performed using kSNP3,a k-mer-based software,for single nucleotide polymorphism(SNP)analysis.An evolutionary tree was constructed to assess genetic relationships.Additionally,multilocus sequence typing(MLST)was performed using the Pseudomonas aeruginosa typing scheme from the PubMLST database.Results Among the 94 CRPA isolates,high resistance rates were observed for carbapenems,including imipenem(92.6%,87 strains)and meropenem(87.2%,82 strains).In contrast,low resistance rates were detected for aminoglycosides,such as amikacin(10.6%,10 strains),gentamicin(20.2%,19 strains),and tobramycin(20.2%,19 strains).The top 3 departments in terms of isolate distribution were the Emergency Intensive Care Unit(9.6%,9 strains),Department of Cerebrovascular Surgery(8.5%,8 strains),and Department of Respiratory Medicine(8.5%,8 strains).PCR analysis of 94 CRPA strains detected outer membrane protein D2(OprD2)gene deletion in 47(50.0%)strains,13(13.8%)strains were positive for blaKPC,4(4.3%)strains for blaVIM,2(2.1%)strains for blaIMP,1(1.1%)strain for blaNDM,12(12.8%)strains for blaTEM,4(4.3%)strains for blaPER,and 2(2.1%)strains for blaGES,while blaOXA-48,blaBIC,blaSIM,blaVEB,and blaSHV were not detected.MLST identified 36 different sequence types(STs),with ST463 and ST274 being the most common,and 2 new ST(ST4023 and ST4024)were identified for the first time.Conclusion CRPA strains carry multiple resistance genes and exhibit concurrent resistance to several commonly used clinical antibiotics.The resistance is primarily associated with the presence of blaKPC,blaVIM and blaTEM genes and the deletion of OprD2 gene.Clinical monitoring of CRPA should be strengthened,and rational use of antimicrobial agents is essential to control its spread within the hospital.

Objective:To investigate the efficacy and safety of endovascular treatment (EVT) in young patients with symptomatic intracranial atherosclerotic stenosis (sICAS).Methods:Young patients with sICAS admitted to the Department of Neurology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University, Medical School from January 2020 to July 2024 were included retrospectively. According to the therapeutic modalities, they were divided into a best medical treatment (BMT) group and an EVT group. The efficacy outcome was any stroke recurrence or death within 30 days and 1 year. The safety outcome was symptomatic intracranial hemorrhage (sICH) within 30 days and restenosis within 1 year.Results:A total of 113 patients were enrolled, including 85 males (75.2%), with a median age of 43 (interquartile range, 37-48) years; 44 patients (38.9%) received EVT, and 69 (61.1%) received BMT. Among the 44 patients who underwent EVT, 8 (18.2%) underwent balloon angioplasty and 36 (81.8%) underwent stenting. There was no significant difference in the incidence of stroke recurrence or death within 30 days (2.9% vs. 2.3%) and sICH incidence (0% vs. 2.3%) between the BMT group and the EVT group. However, the 1-year stroke recurrence or death rate in the EVT group was significantly lower than that in the BMT group (18.8% vs. 4.5%; P=0.029). Cox proportional hazards regression analysis showed that EVT was independently associated with a lower incidence of stroke recurrence or death within 1 year (hazard ratio 0.225, 95% confidence interval 0.051-0.996; P<0.05). The median age of the balloon angioplasty group was significantly lower than that of the stenting group (33.5 years vs. 46 years; P=0.007), while there were no significant differences in other demographic and baseline data. There was no significant difference in all efficacy and safety outcome between the balloon angioplasty group and the stenting group. Conclusions:For young patients with sICAS who have an unsatisfactory response to drug treatment, EVT can reduce the risk of stroke recurrence or death within 1 year without increasing the risk of sICH. The safety and efficacy of balloon angioplasty and stenting are similar.

Objective: To explore the alleviating effect of geniposide on ulcerative colitis (UC) and to investigate its potential mechanism. Methods: A UC mouse model was induced using 5% dextran sulfate sodium ( DSS) . These mice were randomly divided into 6 groups ( n = 8) : control group , model group , sulfasalazine group[ 100 mg/(kg ·d) ] , low-dose geniposide group[ 10 mg/(kg ·d) ] , medium-dose geniposide group[20 mg/(kg ·d) ] , and high-dose geniposide group[40 mg/( kg · d) ] . The mice were orally administered for consecutive 10 days . The colon length and mouse body mass were measured , and the colon mucosal damage index (CMDI) and disease activity index (DAI) were scored . The pathological changes in colon tissue were observed using hematoxylin-eosin (HE) staining. The reagent kits were used to measure the levels of malondialdehyde ( MDA) , myeloperoxidase (MPO) , catalase ( CAT) , and glutathione ( GSH) in colon tissue . The enzyme linked immunosorbent assay (ELISA) was used to analyze the expression levels of tumor necrosis factor-α ( TNF-α) , interleukin-6 ( IL-6) , and IL-1βin colon tissue . Western blot was used to detect the protein expression of mucin 1 (MUC-1) , occludin , IL-6 , p-JAK2 , and p-STAT3 in colon tissue . Results: Compared with the normal control group , the body mass and colon length of the model group mice significantly reduced . The expression of MUC-1 and occludin proteins sig- nificantly reduced (P < 0. 01) . The activities of CAT and SOD significantly reduced . DAI score and CMDI score significantly increased (P < 0. 01) . The expression levels of TNF-α, IL-6 , and IL-1βsignificantly increased (P < 0. 01) . The content of MPO and MDA significantly increased (P < 0. 01) . The expression of IL-6 , p-JAK2 and p- STAT3 proteins significantly increased ( P < 0. 01) . Compared with the model group , the body mass and colon length of mice in sulfasalazine group and geniposide medium and high-dose groups significantly increased (P < 0. 05 or P < 0. 01) , the expression of MUC-1 and occludin proteins increased (P < 0. 05 or P < 0. 01) , as well as the activity of CAT and SOD (P < 0. 05 or P < 0. 01) . DAI score and CMDI score in Sulfasalazine group and genipo- side medium and high-dose groups significantly reduced (P < 0. 05 or P < 0. 01) , as well as the expression levels of TNF-α, IL-6 , and IL-1β(P < 0. 05 or P < 0. 01) . MPO and MDA content in Sulfasalazine group and genipo- side medium and high-dose groups significantly reduced (P < 0. 05 or P < 0. 01) , as well as the expression of IL- 6 , p-JAK2 , and p-STAT3 proteins (P < 0. 05 or P < 0. 01) . Conclusion Geniposide maintaines intestinal home- ostasis by regulating the structure of the intestinal flora and improves colitis injury in UC mice by inhibiting the acti- vation of the IL-6/JAK2/STAT3 pathway.

Objective: To construct a nonsuicidal selfinjury (NSSI) risk prediction model for middle school students using different machine learning algorithms and evaluate the models effectiveness, so as to provide guidance for the prevention and control of NSSI in campus. Methods: In March 2023, a total of 3 372 middle and high school students from schools in Nanchang, Fuzhou and Shangrao cities in Jiangxi Province were selected by combining stratified random cluster sampling and convenient sampling methods. Questionnaire surveys were conducted using various instruments including general information questionnaire, Selfesteem Scale, Ottawa Selfinjury Scale, Social Support Assessment Scale, Chinese Version of the Olweus Bullying Questionnaire, Event Attribution Style Scale, Adolescent Resilience Scale, and Adolescent Life Events Scale. Data were divided into training set (n=2 361) and test set (n=1 011) at a ratio of 7∶3, and variables were selected based on univariate and LASSO regression results. Four machine learning algorithms including namely random forest, support vector machine, Logistic regression and XGBoost, were used to construct NSSI risk prediction models, and the models performance was evaluated and compared using metrics including area under curve (AUC), sensitivity, specificity, positive predictive value, negative predictive value and F1 score. Results: The detection rate of NSSI among middle school students was 34.4%. Univariate analysis showed that there were statistically significant differences in NSSI detection rates among middle school students of different grades, genders, registered residence locations, whether they were class cadres and four types of bullying (physical, verbal, relational bullying and cyberbullying) (χ2=27.17, 15.81, 11.54, 4.63；68.22, 140.63, 77.81, 13.95, P<0.05). NSSI was included as the dependent variable in the LASSO regression model for variable screening, and the results regression identified 10 predictive variables including grade level, selfesteem, subjective support, support utilization, verbal bullying, emotional control, interpersonal relationships, punishment, loss of relatives and property, and health and adaptation issues. The AUC values of random forest, support vector machine, Logistic regression, and XGBoost algorithms were 0.76, 0.76, 0.76 and 0.77, respectively, with no statistically significant differences between pairwise comparisons (Z=-0.59-0.82, P>0.05). Sensitivity values were 0.62, 0.61, 0.62 and 0.61, respectively. Specificity values were 0.74, 0.78, 0.78 and 0.78, respectively. Positive predictive values were 0.56, 0.59, 0.60 and 0.59, respectively. Negative predictive values were 0.79, 0.79, 0.80 and 0.79, respectively. F1 scores were 0.59, 0.60, 0.61 and 0.60, respectively. Conclusions All four nonsuicidal selfinjury risk prediction models perform well, with the Logistic regression model slightly outperforming the others. Schools and parents should pay attention to the predictive factors corresponding to NSSI, so as to reduce the occurrence of NSSI among middle school students.

Zi goose is a small local variety with high fecundity,good meat quality,roughage resist-ance,strong adaptability and excellent down quality.It is an excellent female parent for cross breeding among varieties.With the rapid development of goose industry,the variety of Zi goose has not been well protected,the variety is hybrid and degraded seriously,and the number of pure Zi goose is decreasing day by day.This paper reviewed the research progress on the breeding distribu-tion and preservation status of Zi goose and the variety characteristics of Zi goose,in order to pro-vide reference for the research,protection and utilization of germplasm resources of Zi goose and the stable development of goose industry.

This paper introduces Professor HUANG Jinchang's experience in treating low anterior resection syndrome (LARS) of rectal cancer. Based on the clinical experience in treating fecal incontinence after rectal cancer surgery, Professor HUANG Jinchang proposes that the primary pathogenesis of LARS is spleen-kidney yang deficiency with internal obstruction of damp turbidity. The treatment approach should focus on strengthening the spleen, warming the kidney, and eliminating turbidity. The Baliao acupoints are specifically selected to eliminate turbidity, promote yang , facilitate the qi flow of the viscera, and regulate the opening and closing of the anus. Emphasis is placed on deep needling at the Baliao acupoints, with flexible acupoint selection based on accompanying symptoms. Additionally, moxibustion and bloodletting cupping are used to restore regular bowel movements and improve the quality of life for patients who have undergone anus-preserving surgery for rectal cancer.
Humans ; Rectal Neoplasms/therapy* ; Acupuncture Points ; Electroacupuncture ; Male ; Female ; Fecal Incontinence/etiology* ; Postoperative Complications/etiology* ; Middle Aged ; Yang Deficiency/therapy* ; Low Anterior Resection Syndrome

Objective:To assess the predictive efficacy of 18F-FDG PET/CT-based radiomics models for the mutation status of Kirsten rats sarcoma viral oncogene homolog (KRAS) in patients with non-small cell lung cancer (NSCLC). Methods:From January 2016 to January 2021, the 18F-FDG PET/CT images and KRAS testing of 258 NSCLC patients (180 males, 78 females; age: 33-91 years) in the First Affiliated Hospital of the Air Force Military Medical University were retrospectively analyzed. Patients were randomly divided into training set ( n=180) and validation set ( n=78) in the ratio of 7∶3. Tumor lesions on PET and CT images were drawn respectively, and the radiomics features of PET and CT lesions were extracted. The radiomics features were screened by least absolute shrinkage and selection operator (LASSO). CT radiomics score (RS) model, PET/CT RS model and composite models of PET/CT RS combined with screened clinical information were eventually developed. ROC curves were used to assess the predictive efficacy of these models. Results:The CT RS model included 4 radiomics features and the PET/CT RS model included 4 CT radiomics features and 8 PET radiomics features. The CT RS model and the PET/CT RS model both had significant differences in RS between KRAS mutant and wild-type patients in the training set and validation set ( z values: from -8.30 to -4.10, all P<0.001). In predicting KRAS mutations, the composite model of PET/CT RS combined with age showed AUCs of 0.879 and 0.852 in the training and validation sets respectively, which were higher than those of the CT RS model (0.813 and 0.770) and the PET/CT RS model (0.858 and 0.834). The accuracy of the composite model of PET/CT RS combined with age were 81.67%(147/180) and 79.49%(62/78) in the training set and validation set respectively, which were also higher than those of the CT RS model (75.00%(135/180) and 74.36%(58/78)) and the PET/CT RS model (78.89%(142/180) and 78.21%(61/78)). Conclusion:Models based on radiomics features can predict KRAS gene mutation status, and the composite model combining PET/CT RS and age can improve the prediction performance.

Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.