ObjectiveTo investigate the effects and potential mechanisms of Babaodan （BBD） against acetaminophen （APAP）-induced acute liver injury （ALI） based on transcriptomics. MethodsA total of 36 male C57BL/6 mice were randomly divided into 6 groups （n=6 per group）： normal group， model group， N-acetylcysteine group （NAC， 120 mg·kg^-1）， and BBD low-， medium-， and high-dose groups （BBD-L， BBD-M， BBD-H groups， 75， 150， 300 mg·kg^-1， respectively）. Except for the normal group， all other groups were subjected to APAP-induced ALI. The serum levels of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， total cholesterol （TC）， triglyceride （TG）， and low-density lipoprotein cholesterol （LDL-C） were measured in each group. Hepatic levels or activities of malondialdehyde （MDA） and glutathione peroxidase （GSH-Px） were detected using commercial kits. Hematoxylin-eosin （HE） staining was performed to evaluate the degree of liver histopathological damage. Transcriptomic analysis was employed to screen differentially expressed genes （DEGs）， and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed to identify differential pathways involved in BBD intervention against ALI. Real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot were applied to validate the expression of differential genes and related pathway proteins. Additionally， glucose （GLU） consumption， as well as lactate （LD） and adenosine triphosphate （ATP） content were assessed across all mouse groups. ResultsPharmacodynamic evaluation showed that， compared with the normal group， the model group exhibited significantly elevated serum levels of ALT， AST， TC， TG， and LDL-C （P<0.01）， significantly increased MDA level （P<0.01）， and significantly decreased GSH-Px level （P<0.05）. Compared with the model group， BBD intervention at different doses significantly reduced the serum levels of ALT， AST， TC， TG， and LDL-C （P<0.05， P<0.01）， increased GSH-Px level （P<0.05， P<0.01）， significantly decreased MDA level （P<0.01）， and ameliorated hepatic histopathological injury. Liver transcriptomic analysis revealed that， following high-dose BBD intervention， the core genes were mainly enriched in pathways related to inflammatory responses and energy metabolic reprogramming， including the interleukin-17 （IL-17） signaling pathway， the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， fructose and mannose metabolism， and glycolysis. Real-time PCR validation demonstrated that， compared with the normal group， the mRNA expression levels of glycolysis-related genes ［hexokinase 1 （HK1）， hexokinase 2 （HK2）， 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 3 （PFKFB3）， 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 4 （PFKFB4）， pyruvate kinase M （PKM）， and lactate dehydrogenase A （LDHA）］， as well as inflammatory cytokines ［tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β）］ were significantly upregulated in the model group （P<0.05， P<0.01）. Compared with the model group， the BBD-H group showed significantly decreased mRNA expression of HK1， HK2， PFKFB3， PFKFB4， PKM， LDHA， TNF-α， IL-6， and IL-1β （P<0.05， P<0.01）. Western blot results indicated that， compared with the normal group， the model group had significantly increased expression of glycolysis-related proteins ［glucose transporter 1 （GLUT1）， HK1， PFKFB3， and PKM］， inflammatory proteins ［interleukin-18 （IL-18）， TNF-α， and IL-1β］， and phosphorylated （p）-PI3K and p-Akt proteins （P<0.05， P<0.01）. Compared with the model group， the BBD-H group exhibited significantly decreased expression of GLUT1， HK1， PFKFB3， PKM， IL-18， TNF-α， IL-1β， p-PI3K， and p-Akt （P<0.05， P<0.01）. Metabolic indicator measurements showed that， compared with the model group， the BBD-H group showed significantly reduced GLU consumption， LD and ATP content （P<0.05， P<0.01）. ConclusionBBD may alleviate APAP-induced ALI through dual regulation of metabolic reprogramming and inflammatory responses， potentially via inhibition of the PI3K/Akt signaling pathway.

ObjectiveTo investigate the effects and potential mechanisms of Babaodan （BBD） against acetaminophen （APAP）-induced acute liver injury （ALI） based on transcriptomics. MethodsA total of 36 male C57BL/6 mice were randomly divided into 6 groups （n=6 per group）： normal group， model group， N-acetylcysteine group （NAC， 120 mg·kg^-1）， and BBD low-， medium-， and high-dose groups （BBD-L， BBD-M， BBD-H groups， 75， 150， 300 mg·kg^-1， respectively）. Except for the normal group， all other groups were subjected to APAP-induced ALI. The serum levels of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， total cholesterol （TC）， triglyceride （TG）， and low-density lipoprotein cholesterol （LDL-C） were measured in each group. Hepatic levels or activities of malondialdehyde （MDA） and glutathione peroxidase （GSH-Px） were detected using commercial kits. Hematoxylin-eosin （HE） staining was performed to evaluate the degree of liver histopathological damage. Transcriptomic analysis was employed to screen differentially expressed genes （DEGs）， and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed to identify differential pathways involved in BBD intervention against ALI. Real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot were applied to validate the expression of differential genes and related pathway proteins. Additionally， glucose （GLU） consumption， as well as lactate （LD） and adenosine triphosphate （ATP） content were assessed across all mouse groups. ResultsPharmacodynamic evaluation showed that， compared with the normal group， the model group exhibited significantly elevated serum levels of ALT， AST， TC， TG， and LDL-C （P<0.01）， significantly increased MDA level （P<0.01）， and significantly decreased GSH-Px level （P<0.05）. Compared with the model group， BBD intervention at different doses significantly reduced the serum levels of ALT， AST， TC， TG， and LDL-C （P<0.05， P<0.01）， increased GSH-Px level （P<0.05， P<0.01）， significantly decreased MDA level （P<0.01）， and ameliorated hepatic histopathological injury. Liver transcriptomic analysis revealed that， following high-dose BBD intervention， the core genes were mainly enriched in pathways related to inflammatory responses and energy metabolic reprogramming， including the interleukin-17 （IL-17） signaling pathway， the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， fructose and mannose metabolism， and glycolysis. Real-time PCR validation demonstrated that， compared with the normal group， the mRNA expression levels of glycolysis-related genes ［hexokinase 1 （HK1）， hexokinase 2 （HK2）， 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 3 （PFKFB3）， 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 4 （PFKFB4）， pyruvate kinase M （PKM）， and lactate dehydrogenase A （LDHA）］， as well as inflammatory cytokines ［tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β）］ were significantly upregulated in the model group （P<0.05， P<0.01）. Compared with the model group， the BBD-H group showed significantly decreased mRNA expression of HK1， HK2， PFKFB3， PFKFB4， PKM， LDHA， TNF-α， IL-6， and IL-1β （P<0.05， P<0.01）. Western blot results indicated that， compared with the normal group， the model group had significantly increased expression of glycolysis-related proteins ［glucose transporter 1 （GLUT1）， HK1， PFKFB3， and PKM］， inflammatory proteins ［interleukin-18 （IL-18）， TNF-α， and IL-1β］， and phosphorylated （p）-PI3K and p-Akt proteins （P<0.05， P<0.01）. Compared with the model group， the BBD-H group exhibited significantly decreased expression of GLUT1， HK1， PFKFB3， PKM， IL-18， TNF-α， IL-1β， p-PI3K， and p-Akt （P<0.05， P<0.01）. Metabolic indicator measurements showed that， compared with the model group， the BBD-H group showed significantly reduced GLU consumption， LD and ATP content （P<0.05， P<0.01）. ConclusionBBD may alleviate APAP-induced ALI through dual regulation of metabolic reprogramming and inflammatory responses， potentially via inhibition of the PI3K/Akt signaling pathway.

Objective This study aims to investigate the selection intention of nursing interns and their influencing fac-tors,providing a scientific basis for nursing human resource management in hospitals and departments.Methods A convenience sampling method was used to conduct a questionnaire survey A questionnaire survey was conducted concerning the selection inten-tion on departments and influencing factors of intern nurses from several tertiary hospitals affiliated to three medical universities from July 2022 to December 2023.General data investigation and self-developed scales were employed,and descriptive analysis,chi-square test and other statistical methods were used to analyze the differences in department selection and related influencing factors among nursing interns.Results Analysis of 652 valid questionnaires revealed that surgery(65.80％)and operating room(38.84％)were the most preferred departments for nursing interns.The primary influencing factors included the working environment and equipment of the department(54.60％),as well as its cohesion and cultural atmosphere(51.53％).Pediat-rics(51.23％)and infectious medicine(48.77％)were found to be less favored by nursing interns.Their main concerns re-volved around work-related risks and population characteristics of patients(67.02％),along with work pressure and labor intensi-ty(65.49％).Epidemic factors have an impact on the attitudes and expectations of nursing interns towards their future practice(P＜0.01).Conclusion The choice of departments by nursing interns is influenced by various environmental,societal and personal factors;primarily based on departmental environment quality and team culture atmosphere considerations.During the in-ternship,nursing interns require more professional education guidance from both hospital administration and individual depart-ments in order to make informed career choices and plans.

BACKGROUND:Traumatic spinal cord injury primarily relies on scale assessment and imaging examinations in clinical practice.However,there are limitations in predicting the prognosis of the injury.Therefore,the use of metabolomics technology for biomarker screening is significant for estimating the extent of damage,injury and recovery,as well as developing new therapies. OBJECTIVE:To characterize the metabolic features of patients with traumatic spinal cord injury using metabolomics technology and explore potential biomarkers and disrupted metabolic pathways. METHODS:Serum and urine samples were collected from 20 patients with traumatic spinal cord injury(observation group)and 10 healthy subjects(control group).Metabolites were analyzed and multivariate statistical analysis was then performed for data processing to screen differential metabolites.Metabolic pathway enrichment was performed using MetaboAnalyst software.Logistic regression was applied to construct a biomarker combination model,and its relationship with the American Spinal Injury Association grading was analyzed. RESULTS AND CONCLUSION:Significant differences in 160 and 73 metabolites were detected in the serum and urine samples of the two groups,respectively.Pathway enrichment analysis showed evident disturbances in lipid metabolism after traumatic spinal cord injury,including sphingolipid,arachidonic acid,α-linolenic acid,and arachidonic acid metabolism,as well as glycerophospholipid and inositol phosphate biosynthesis.The combination of two identified biomarkers,telmisartan and quercetin glycoside,showed a correlation with the American Spinal Injury Association grading in both serum and urine levels.Thus,metabolomics technology provides assistance in further understanding the pathological mechanisms of traumatic spinal cord injury and screening therapeutic targets.The identified metabolic biomarker combination may serve as a reference for assessing the severity of traumatic spinal cord injury.

Objective Liver cancer is the second leading cause of tumor-related death.The efficacy of local thermal ablation is comparable to surgical resection for the early hepatocellular carcinoma(HCC),and the ablation technique is minimally invasive,repeatable,and has a low complication rate.However,early recurrence((2 years)is the main cause of death after HCC ablation,but there is still a lack of accurate and reliable prediction models for early recurrence.Therefore,this survey intended to construct prediction models for early recurrence of HCC after ablation by using preoperative gadoxetic acid disodium-enhanced magnetic resonance(MR)images data combined with radiomics methods,evaluate and verify their predictive efficacy.To explore the application value of contrast-enhanced MRI imaging before ablation in the prognosis assessment of HCC patients,and to provide reliable data and theoretical basis for clinical treatment decisions.Methods A retrospective study was performed on 120 patients with HCC who underwent ablation and all the patients were underwent contrast-enhanced MRI examination within 1 month.A total of 1318 radiomic features were extracted from each patient by using preoperative T2-weighted sequence(T2WI)images of contrast-enhanced MRI.After feature selection,six machine learning algorithms would be used for construction of models and comparison.Finally,Logistic regression analysis was used to establish a clinical model,a radiomics model and a combined model which included the above risk factors and radiologic features.The nomogram was constructed based the combined model to evaluate the differentiation,accuracy and clinical benefit.Results Five radiomic features most closely related to early recurrence were identified and selected for model construction.The radiomic model had effective predictive performance,with AUC of 0.80 in the training sets.Two clinical risk factors associated with early recurrence,including tumor number and peritumoral hypodensity on the hepatobiliary phase,were selected to established a clinical-radiological-radiomics(CRRM)model,with AUC as high as 0.92 in the validation sets.The nomogram of CRRM model was constructed and the calibration curves indicated the goodness of fit.Decision curve analysis further confirmed the clinical usefulness of CRRM model.Conclusion The radiomics model of preoperatively contrast-enhanced MRI-T2WI image features was identified be effective to predict HCC early recurrence.In contrast,the CRRM model could be used as a more comprehensive and superior tool to predict individual probability of early recurrence.Patients at high risk of early recurrence could be identified and the appropriate and effective preoperative treatments could also be taken,to improve the prognosis and long-term survival rate of HCC patients the individualized treatment strategies should be formulated.

Objective To explore the efficacy of superior hypogastric nerve block(SHNB)for alleviating pain after uterine artery embolization(UAE).Methods Twenty-five patients with hysteromyoma who underwent UAE were retrospectively enrolled.The patients were divided into SHNB group(n=11)and non-SHNB group(n=14,receiving peripheral intravenous analgesia)according to analgesia methods.The technique success rate and complication of SHNB were recorded.The maximum score of numeric pain-rating scale(NRS),the total dose of opioid consumption after UAE and the interval time between UAE completed to the first additional use of opioid were compared between groups.Results No significant difference of patient's age,body mass nor the maximum diameter of hysteromyoma was found between groups(all P＞0.05).The technique success rate of SHNB was 100%(11/11).No complication such as lower limb radiating numbness,intravascular injection,intraperitoneal hemorrhage nor peritonitis occurred.The maximum score of NRS after UAE and the total dose of opioid consumption after UAE in SHNB group were both significantly lower,while the interval time between UAE completed to the first additional use of opioid in SHNB group was significantly longer than those in non-SHNB group(all P＜0.001).Conclusion SHNB was effective for alleviating pain and reducing required dosage of analgesic medications after UAE in patients with hysteromyoma.

Objective This study aims to investigate the selection intention of nursing interns and their influencing fac-tors,providing a scientific basis for nursing human resource management in hospitals and departments.Methods A convenience sampling method was used to conduct a questionnaire survey A questionnaire survey was conducted concerning the selection inten-tion on departments and influencing factors of intern nurses from several tertiary hospitals affiliated to three medical universities from July 2022 to December 2023.General data investigation and self-developed scales were employed,and descriptive analysis,chi-square test and other statistical methods were used to analyze the differences in department selection and related influencing factors among nursing interns.Results Analysis of 652 valid questionnaires revealed that surgery(65.80％)and operating room(38.84％)were the most preferred departments for nursing interns.The primary influencing factors included the working environment and equipment of the department(54.60％),as well as its cohesion and cultural atmosphere(51.53％).Pediat-rics(51.23％)and infectious medicine(48.77％)were found to be less favored by nursing interns.Their main concerns re-volved around work-related risks and population characteristics of patients(67.02％),along with work pressure and labor intensi-ty(65.49％).Epidemic factors have an impact on the attitudes and expectations of nursing interns towards their future practice(P＜0.01).Conclusion The choice of departments by nursing interns is influenced by various environmental,societal and personal factors;primarily based on departmental environment quality and team culture atmosphere considerations.During the in-ternship,nursing interns require more professional education guidance from both hospital administration and individual depart-ments in order to make informed career choices and plans.

Objective:To improve the longevity genetic research study design by applying self-organizing maps to select a control group for longevity study.Methods:This study included the Han population aged 90 years and above or less than 80 years who have died (control group) from the natural population-based cohort formed by the fusion of the Chinese Chronic Diseases and Risk Factors Surveillance in 2013 and the China Death Surveillance System. The subjects who died of injury, infectious diseases, parasitic diseases, and malignant tumors were excluded. The self-organizing maps method, with multiple iterations and self-organizing clustering, was used to select similar factors among the population aged 90 years and above and the control group, including demographic characteristics, diseases, living habits, social behaviors, and mental and psychological factors. The study used PLINK 1.9 software to evaluate the quality of whole genome sequencing and to conduct logistic regression of single nucleotide polymorphisms (SNPs) and longevity on autosomes. Q-Q plots were used to visualize the P value associated with SNPs and longevity. Results:There were 1 019 samples selected from the baseline of 177 099 survey participants for genome sequencing, including 517 in the longevity group and 502 in the control group. The longevity and the control groups are generally similar in smoking, drinking, diet, sleep duration, blood lipid level, and self-assessment oral health status but differ significantly in socio-economic status, physical activity time, BMI, and self-assessment health status. The whole genome sequencing results were controlled, and 4 618 216 SNPs were involved in association analysis. The Q-Q plot of longevity-related SNPs analysis results showed that the enrichment of P value 1e-4 was significantly lower than the expected P value, and significant signals were also detected among P<1e-7 regions. Conclusions:The self-organizing maps can comprehensively consider the influence of socioeconomic and behavioral risk factors and select longevity control samples among samples with actual age and cause of death in a large-scale natural population cohort to improve the efficiency of longevity genome association analysis. This study provides a methodological reference for nested case-control study sample selection from the large-scale natural population cohort.

OBJECTIVE To investigate the improvement effects and possible mechanism of Phyllanthus emblica water extracts on lipid metabolism disorder and insulin resistance （IR） in diabetic model rats. METHODS IR model of male SD rats was established and randomly divided into model group， positive control group， P. emblica water extracts high-dose， medium-dose and low-dose groups， and another blank group was set up， with 10 rats in each group. P. emblica water extracts high-dose， medium- dose and low-dose groups were given P. emblica water extract diluent at the doses of 800， 400 and 200 mg/kg respectively； positive control group was given pioglitazone solution 2.7 mg/kg； blank group and model group were given the same volume of normal saline， by intragastrical administration， once a day， for consecutive 4 weeks. The general state of rats was observed， and the body mass and the levels of serum lipid metabolism indexes [triacylglycerol （TG）， total cholesterol （TC）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）] were measured； fasting insulin of serum （FINS）， insulin resistance index （IRI） and insulin sensitivity index （ISI） were measured and calculated by enzyme-linked immunosorbent assay （ELISA）. The pathological morphology of liver tissue was observed by hematoxylin-eosin staining； the expression of glycogen in the liver was observed by periodic acid-Schiff staining， and the staining area was calculated； the protein expressions of peroxisome proliferator-activated receptor γ （PPARγ）， nuclear factor κB（NF-κB） and AMP-activated protein kinase （AMPK） were detected by Western blot. RESULTS Compared with blank group， the rats in the model group had obvious symptoms of polydipsia， polyphagia and polyuria， and the serum levels of TC， TG， LDL-C， FINS and IRI were significantly increased （P＜0.05）， while ISI was significantly reduced （P＜ 0.05）； the structure of hepatic lobule was obviously disordered， the liver cells were deformed and enlarged， and there were many lipid deposits and fat vacuoles； PAS staining area of glycogen was significantly reduced（P＜0.05）； the protein expression levels of PPARγ and p-AMPK were significantly decreased （P＜0.05）， while the protein expression level of NF-κB was significantly increased （P＜0.05）. Compared with model group， the mental state of rats， liver histopathological morphology and glycogen expression were improved significantly in P. emblica water extracts high-dose and medium-dose groups； the levels of the above indicators were significantly reversed（P＜0.05）. CONCLUSIONS P. emblica water extracts may improve glucose and lipid metabolism disorders， liver function and IR in IR model rats， and regulate IR by activating the PPARγ/AMPK/NF-κB signaling pathway.

As a rare Chinese medicinal material， Paridis Rhizoma is mainly distributed in Yunnan， Guangxi， and Guizhou in southwestern China， with the effect of clearing heat and detoxifying， alleviating edema and relieving pain， cooling liver and tranquilizing mind. It is particularly effective for injuries from falls， fractures， contusions and strains， snake bites， cold wind-induced convulsion， and other diseases， which has been used for more than 2 000 years. According to modern research， polyphyllin Ⅱ， one of the main active components of Paridis Rhizoma， belongs to diosgenin in structure. It has the anti-tumor， anti-inflammatory， antiviral， antibacterial， immune-regulating， antioxidant， and multidrug resistance-reversing activities， showing good application prospect. Especially， the anti-tumor effect of polyphyllin Ⅱ has attracted wide attention， and the mechanism is inhibiting proliferation， migration， and invasion of tumor cells， inducing cell cycle arrest， apoptosis， and autophagy， suppressing angiogenesis， and modulating tumor microenvironment. However， the pharmacokinetic results show that polyphyllin Ⅱ has low bioavailability in vivo due to the low solubility， poor absorption， unsatisfactory distribution， and slow metabolism， which limit the clinical application. In recent years， there has been an explosion of research on the adverse reactions of polyphyllin Ⅱ， such as the strong hemolytic activity and obvious cytotoxicity to liver， kidney， myocardium and cardiovascular cells. Thus， papers were retrieved from "CNKI"， "VIP"， "Wanfang Data"， "PubMed"， "Web of Science"， and "Elsevier SD" with "Paris saponin Ⅱ"， "Polyphyllin Ⅱ" as the main keywords， and the pharmacological activities and mechanisms， pharmacokinetics， and adverse reactions were summarized. The findings are expected to serve as a reference for the in-depth research， development， and utilization of polyphyllin Ⅱ.