Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

Major depressive disorder(MDD)is a prevalent con-dition associated with substantial impairment and low remission rates.Traditional antidepressants demonstrate delayed effects,low cure rate,and inadequate therapeutic effectiveness for man-aging treatment-resistant depression(TRD).Several studies have shown that ketamine,a non-selective N-methyl-D-aspartate receptor(NMDAR)antagonist,can produce rapid and sustained antidepressant effects.Ketamine has demonstrated efficacy for reducing suicidality in TRD patients.However,the pharmaco-logical mechanism for ketamine's antidepressant effects remains incompletely understood.Previous research suggests that the an-tidepressant effects of ketamine may involve the monoaminergic,glutamatergic and dopaminergic systems.This paper provides an overview of the pharmacological mechanism for ketamine's anti-depressant effects and discuss the potential directions for future research.

Glutamate,norepinephrine,and their receptors com-prise the glutamatergic and norepinephrine systems,which mu-tually affect each other and play essential roles in mediating vari-ous neuropsychiatric diseases.This paper reviews the functions of N-methyl-D-aspartate receptor(NMDA-R)and α2-adrenergic receptor(α2-AR)and their functional crosstalk at the molecular level in brain in common neuropsychiatric diseases,which would benefit our understanding of neuropathophysiology of psychiatric diseases,drug development and optimization of clinical neuro-psychopharmacology.

Aim To observe the effect of Astragalus membranaceus and Angelica sinensis on the apoptosis of chondrocytes,and to investigate the effect of Astrag-alus membranaceus and Angelica sinensis on the sur-vival of fresh ostecartilage allograft.Methods Forty-eight 4-month-old New Zealand white rabbits,half male and half female,were randomly divided into sham operation group,model group,positive group and As-tragalus and Angelica 5∶1 group.In addition to the sham operation group,the other groups were both male and female donors and recipients for knee joint osteo-cartilage cross transplantation modeling.After 8 weeks of drug intervention,samples were taken for general observation,HE staining,saffrane-O staining,immu-nohistochemical staining,qPCR and Western blot de-tection.Results Compared with model group,As-tragalus and Angelica 5∶1 group and positive group,the repair site healed better,the morphology of osteo-chondrocytes tended to be normal,and the division and proliferation were obvious.Proteoglycan deposition in-creased and type Ⅱ collagen content was higher,the differences were statistically significant(P＜0.05).qPCR and Western blot results showed that compared with model group,the mRNA and protein expressions of Bax,caspase-3 and caspase-9 in other groups were significantly decreased(P＜0.05).Conclusion As-tragalus and Angelica can promote the survival of fresh osteochondral allograft,and its mechanism may be re-lated to promoting collagen production,promoting chondrocyte proliferation and inhibiting chondrocyte apoptosis.

Objective:To investigate the current status of sarcopenia and self-management in elderly patients with type 2 diabetes mellitus (T2DM), and to explore the identification of risk factors for sarcopenia by diabetes self-management ability.Methods:Using convenience sampling, 284 elderly patients with T2DM who visited a community health service center in Beijing from March to September 2023 were selected as subjects. The patients were screened for sarcopenia and received related health examinations based on Asian working group for sarcopenia (AWGS) 2019 Consensus. Surveys were conducted using general information questionnaire, the Summary of Diabetes Self-Care Activities measure, and other questionnaires. Patients were divided into groups according to the presence or absence of muscle attenuation (defined as suspected and confirmed sarcopenia).Results:The prevalence of muscle attenuation in the 284 elderly patients with T2DM was 48.9%, and the prevalence of sarcopenia was 15.9%. The proportions of females, patients who are over 70 years old, and patients with a sedentary lifestyle were significantly higher in the group with muscle attenuation compared with the group without muscle attenuation. High-quality protein intake, extremity skeletal muscle mass index, grip strength, and six-meter walking speed were significantly lower in the muscle attenuation group. Binary logistic regression analysis revealed that age, alcohol consumption, a sedentary lifestyle, and high-quality protein intake were influencing factors for sarcopenia in elderly patients with T2DM ( P<0.05). The total self-care scores and subtotals in exercise domains showed significant differences ( P<0.05) between patients with and without muscle attenuation. Univariate analysis indicated significant differences in self-management behaviors among patient groups stratified by grip strengths and 6-meter walk speeds ( P<0.05). Multivariate linear regression analysis showed that grip strength and 6-meter walk speed were influencing factors for exercise management behaviors in elderly patients with T2DM ( P<0.05). Conclusions The prevalence of sarcopenia in elderly patients with T2DM is relatively high, and their level of diabetes self-management is medium to low. Practitioners should pay extra attention to patients who are over 70 years old, with sedentary habits, with low intake of high-quality protein, and females. It's recommended to use grip strength and 6-meter walk speed tests as initial screening tools for sarcopenia in elderly patients with T2DM, in order to identify risks early and implement targeted health management to promote the development of good self-management behaviors among patients.

The molecular epidemiological characteristics of 1,4,[5],12:i:-Salmonella in Jiangsu Province were analyzed through whole genome sequencing(WGS).The distribution characteristics of related genes were obtained on the basis of anno-tated drug-resistant genes and plasmid types in the whole genome.Analysis of the molecular epidemiological characteristics of strains with cgMLST revealed possible modes of transmission of quinolone resistance in 1,4,[5],12:i:-Salmonella.Eleven cat-egories of antibiotic resistance genes(ARGs)were annotated among the fluoroquinolone-resistant strains.The detection rate of aminoglycoside ARGs was highest(100％).Twelve quinolone-resistant strains(92.3％)carried the IncHI2/IncHI2A plasmid type.PMQR gene analysis of various strains indicated that the strains from the United States and Europe carried six types of PMQR genes,and the detection rate of qnrB19 was highest.The Jiangsu strains carried three PMQR gene types,and the de-tection rate of aac(6')-Ib-cr was highest(11.84％).Analysis of cgMLST loci from different countries/regions revealed three main epidemic clusters.Some isolates from Jiangsu province might have the same evolutionary origin as some isolates from Eu-rope and the United States,and national/regional differences were observed in the PMQR gene carriage level.

Objective:To evaluate the extracorporeal membrane oxygenation (ECMO) related outcomes during hospitalization during the intensive care unit (ICU) in idiopathic pulmonary fibrosis (IPF) patients with high body mass index (BMI, >25 kg/m 2) undergoing lung transplantation with ECMO support. Methods:A retrospective observational study was conducted. IPF patients who received ECMO during lung transplantation admitted to the Affiliated Wuxi People's Hospital of Nanjing Medical University from 2019 to 2020 were enrolled. Preoperative indicators including, demographics, comorbidities, arterial blood gas, and laboratory indicators; intraoperative indicators, such as lung lobe volume reduction, surgical type, surgical time, cold ischemia time, blood loss and transfusion volume; immediate indicators upon admission to the ICU, such as blood gas analysis and laboratory indicators; ECMO related outcomes, such as ECMO mode, ECMO support time, ECMO related complications (bleeding at the catheterization site, intraductal thrombosis, lower limb ischemia), and the length of ICU stay, duration of mechanical ventilation, and 30-day survival rate were collected. According to BMI, patients were divided into three groups: light weight group (BMI < 18.5 kg/m 2), normal weight group (BMI 18.5-24.9 kg/m 2), and overweight group (BMI ≥ 25.0 kg/m 2). Mainly to compare the relevant outcomes of ECMO among patients during ICU. Results:A total of 114 IPF patients who received ECMO support during lung transplantation were collected, including 23 cases in the light weight group, 63 cases in the normal weight group, and 28 cases in the overweight group. Compared with patients with underweight and normal weight, overweight patients were more likely to have hypertension (46.4% vs. 8.7%, 23.8%, P < 0.01) and coronary heart disease (32.1% vs. 4.3%, 20.6%, P < 0.05) before surgery, which was consistent with international guidelines for obesity. Other clinical data (preoperative, intraoperative, ICU characteristics) showed no statistically significant differences and were comparable. There was no statistically significant difference in terms of ECMO related outcomes, such as ECMO related complications [veno-venous (V-V) mode: 78.3%, 77.8%, 78.6%, veno-arterial (V-A) mode: 21.7%, 22.2%, 21.4%], ECMO support time (hours: 61.70±20.03, 44.57±5.76, 41.77±7.26), ECMO related complications (bleeding at the catheterization site: 4.3%, 7.9%, 14.3%; intraductal thrombosis: 8.7%, 12.7%, 17.9%; lower limb ischemia: 8.7%, 12.7%, 14.3%), and the length of ICU stay (days: 11±3, 7±1, 9±1), duration of mechanical ventilation [days: 2 (2, 11), 2 (2, 6), 3 (2, 8)] among the light weight group, normal weight group, and overweight group (all P > 0.05). Kaplan-Meier survival curve analysis showed that there was no statistically significant difference in the 30-day cumulative survival rate among the three groups (Log-Rank test: χ2 = 0.919, P = 0.632). Conclusions:High BMI does not worsen ECMO-related outcomes or adversely affect early prognosis in IPF patients undergoing lung transplantation. BMI as a single parameter should not be a contraindication for the use of ECMO in lung transplantation surgery for IPF patients.

Background: SM-like (LSM) genes a family of RNA-binding proteins, are involved in mRNA regulation and can function as oncogenes by altering mRNA stability. However, their roles in B-cell progression and tumorigenesis remain poorly understood. Methods: We analyzed gene expression profiles and overall survival data of 123 patients with mantle cell lymphoma (MCL). The LSM index was developed to assess its potential as a prognostic marker of MCL survival. Results: Five of the eight LSM genes were identified as potential prognostic markers for survival in MCL, with particular emphasis on the LSM.index. The expression levels of these LSM genes demonstrated their potential utility as classifiers of MCL. The LSM.index-high group exhibited both poorer survival rates and lower RNA levels than did the overall transcript profile. Notably, LSM1 and LSM8 were overexpressed in the LSM.index-high group, with LSM1 showing 2.5-fold increase (p < 0.001) and LSM8 depicting 1.8-fold increase (p < 0.01) than those in the LSM.index-low group.Furthermore, elevated LSM gene expression was associated with increased cell division and RNA splicing pathway activity. Conclusions The LSM.index demonstrates potential as a prognostic marker for survival in patients with MCL. Elevated expression of LSM genes, particularly LSM1 and LSM8, may be linked to poor survival outcomes through their involvement in cell division and RNA splicing pathways. These findings suggest that LSM genes may contribute to the aggressive behavior of MCL and represent potential targets for therapeutic interventions.

Background: SM-like (LSM) genes a family of RNA-binding proteins, are involved in mRNA regulation and can function as oncogenes by altering mRNA stability. However, their roles in B-cell progression and tumorigenesis remain poorly understood. Methods: We analyzed gene expression profiles and overall survival data of 123 patients with mantle cell lymphoma (MCL). The LSM index was developed to assess its potential as a prognostic marker of MCL survival. Results: Five of the eight LSM genes were identified as potential prognostic markers for survival in MCL, with particular emphasis on the LSM.index. The expression levels of these LSM genes demonstrated their potential utility as classifiers of MCL. The LSM.index-high group exhibited both poorer survival rates and lower RNA levels than did the overall transcript profile. Notably, LSM1 and LSM8 were overexpressed in the LSM.index-high group, with LSM1 showing 2.5-fold increase (p < 0.001) and LSM8 depicting 1.8-fold increase (p < 0.01) than those in the LSM.index-low group.Furthermore, elevated LSM gene expression was associated with increased cell division and RNA splicing pathway activity. Conclusions The LSM.index demonstrates potential as a prognostic marker for survival in patients with MCL. Elevated expression of LSM genes, particularly LSM1 and LSM8, may be linked to poor survival outcomes through their involvement in cell division and RNA splicing pathways. These findings suggest that LSM genes may contribute to the aggressive behavior of MCL and represent potential targets for therapeutic interventions.

In recent years,the prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKP)infection has become a global public health issue.Ceftazidime/avibactam(CAZ/AVI)has been approved as a novel antimicrobial agent for the treatment of healthcare-associated pneumonia/ventilator-associated pneumonia,bloodstream infection,infection after kidney transplantation,and severe infection combined with liver cirrhosis.However,the use of CAZ/AVI has also led to the emergence of drug-resistant strains.The major mechanisms of drug-resistance include over-expression of blaKPC gene,mutation of β-lactamase and amino acids at key sites,changes in cell permeability caused by loss of membrane porin,and over-expression of efflux pump.This article reviews the research progress of CAZ/AVI in the treatment of CRKP infection,providing reference for clinical diagnosis and treatment.