Objective: To explore the network structure of anxiety and depressive symptoms, and psychotic like experiences in junior and senior high school students with different sleep qualities, and to provide a reference for improving sleep quality in the population. Methods: A cross sectional online survey was conducted among 22 997 junior and senior high school students from seven junior and senior high schools in Luzhou City, Sichuan Province, using convenience sampling. The Pittsburgh Sleep Quality Index (PSQI), Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), and the 16item Prodromal Questionnaire (PQ-16) were administered. Independent sample t-test was used to compare mental health status between adolescents with and without sleep problems. Network analysis was applied to examine the symptom association patterns across gender and school stage subgroups. Results: The prevalence of sleep problems among junior and senior high school students was 22.58%. The total anxiety symptom score (8.92± 4.02 ), total depressive symptom score (13.35±5.66), and scores for each factor of PQ-16 (perceptual and sensory abnormalities, thinking abnormalities, negative symptoms, and specific perceptual and sensory abnormalities) (3.32±3.32, 2.08±2.36, 3.36± 2.74 , 1.44±1.86) in the group with sleep problems were all significantly higher than those in the group without sleep problems ( 3.43 ±3.33, 5.03±4.73; 0.63±1.52, 0.47±1.11, 0.77±1.48, 0.25±0.79), with statistically significant differences ( t =99.60, 106.54, 82.49, 68.51, 89.09, 67.30, all P <0.01). In females with sleep problems, the anxiety-depressive symptoms edge weight was the highest (0.44). In males with sleep problems, the "sleep latency-sleep efficiency" edge weight was the highest (0.43), and the strength centrality values of "perceptual abnormalities" "medication factor" and "sleep latency" ranked the higher (1.32, 1.31 and 1.25). The network connectivity strength of the sleep problem group was higher in senior high school students than in junior high school students, and the strength centrality (1.12) and betweenness centrality (0.12) of negative symptoms were higher than those in junior high school students (1.02 and 0.11). Conclusions The network associations between sleep problems and psychological symptoms in junior and senior high school students exhibit gender and school stage specific characteristics. Differentiated intervention strategies should be tailored to specific subgroups.

BACKGROUND:It has been found that abnormal apoptosis of bone tissue cells induced by abnormal iron metabolism plays an important role in the progression of osteoporosis. OBJECTIVE:To investigate the effect of naringin on iron metabolism and cell apoptosis in bone tissue of rats with osteoporosis. METHODS:Fifty 2-month-old female Sprague-Dawley rats were randomly divided into five groups with 10 rats in each group:sham group,osteoporosis group,naringin low-dose group,naringin high-dose group,and naringin high-dose+DKK-1 group.Except for the sham group,rat models of osteoporosis were established by removing bilateral ovarian tissues in the other groups.At 8 weeks after modeling,rats in the naringin low-and high-dose groups were given 100 and 400 mg/kg/d naringenin by gavage,respectively,and rats in the naringenin high dose+DKK-1 group were given 400 mg/kg/d naringin by gavage and subcutaneous injection of 25 mg/kg/d DKK-1,an inhibitor of the Wnt1 signaling pathway,for 7 consecutive days.Relevant indexes were detected after administration. RESULTS AND CONCLUSION:Compared with the osteoporosis group,naringin could enhance the bone mineral density and serum calcium and superoxide dismutase levels in rats(P<0.05),and reduce the serum levels of osteocalcin,malondialdehyde,and phosphorus(P<0.05),while DKK-1 could partially inhibit the interventional effect of naringin(P<0.05).Results from Micro-CT scanning,hematoxylin-eosin and TUNEL staining showed that compared with the osteoporosis group,naringin significantly improved bone microstructure and reduced the rate of cell apoptosis,while DKK-1 partially inhibited the interventional effect of naringin.Immunofluorescence staining results showed that compared with the osteoporosis group,naringin could reduce the oxygen content,anti-tartaric acid phosphatase expression,and elevate the expression of alkaline phosphatase in active tibia tissues(P<0.05),while DKK-1 could partially inhibit the interventional effect of naringin(P<0.05).Results from Prussian blue staining and immunohistochemical staining showed that compared with the osteoporosis group,naringin reduced iron deposition in bone and liver tissues as well as the expression of transferrin receptor 1(P<0.05),and elevated the protein expression of ferroportin 1(P<0.05)in bone tissue,and DKK-1 partially inhibited the intervention of naringin(P<0.05).PCR and western blot assay of tibia specimens showed that compared with the osteoporosis group,naringin decreased the expression of anti-tartrate acid phosphatase,transferrin receptor 1 and Bax(P<0.05),and elevated the expression of alkaline phosphatase,ferroportin 1,Bcl-2,Wnt1 and β-catenin(P<0.05),while DKK-1 partially inhibited the interfering effect of naringin(P<0.05).To conclude,naringin inhibits the progression of osteoporosis by reducing iron deposition and apoptosis rate in bone tissue,which may be related to the activation of the Wnt1 signaling pathway.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Objective To investigate the diagnostic value of 4 novel inflammatory markers related to routine blood tests,namely neutrophil-to-lymphocyte ratio(NLR),red blood cell distribution width(RDW),hemoglobin-to-RDW ratio(HRR)and systemic immune-inflammation index(SII),in elderly patients with chronic cardiovascular disease(CVD)complicated with frailty.Methods Retrospectively analyze 110 patients with chronic stable CVD who were hospitalized in the cadre ward of cardiovascular medicine at the Air Force Characteristic Medical Center from January 2022 to June 2023.According to the assessment results of the Fried scale,they were divided into three groups:non-frailty group(Fried score=0,n=30),the pre-frailty group(Fried score 1 or 2,n=40)and frailty group(Fried score≥3,n=40).The differences in general information,the impairment rate of daily living activities,miniature nutritional assessment-short form(MNA-SF)scores,mini-mental state examination(MMSE)scores,and the indicators such as NLR,RDW,HRR,and SII among the three groups were compared.Spearman rank correlation was used to analyze the correlation between NLR,RDW,HRR,SII and frailty scores as well as each frailty indicator.Multivariate logistic regression analysis was performed to identify the independent risk factors for frailty in elderly patients with chronic CVD,and the receiver operating characteristic(ROC)curve was used to assess the clinical diagnostic value of NLR and HRR in elderly patients with chronic CVD complicated with frailty.Results Compared with non-frailty group and pre-frailty group,patients in frailty group were older,with higher impaired rates of daily living activities,NLR,RDW,and SII,and lower MNA-SF scores,MMSE scores,and HRR,and differences were statistically significant(P<0.05).Spearman rank correlation analysis showed that the frailty score was positively correlated with NLR(rs=0.354,P<0.001),and RDW(rs=0.448,P<0.001),negatively correlated with HRR(rs=-0.232,P=0.024),and had no significant correlation with SII(rs=0.144,P=0.167).Further analysis of the correlation between the above novel inflammatory markers and the 5 components of frailty showed that NLR was positively correlated with fatigue(rs=0.228,P=0.017),slowed walking speed(rs=0.299,P<0.001),and low physical function(rs=0.319,P<0.001);RDW was positively correlated with decreased grip strength(rs=0.321,P<0.001),slowed walking speed(rs=0.422,P<0.001),and low physical function(rs=0.246,P=0.001);and HRR was negatively correlated with slowed walking speed(rs=-0.230,P=0.025),and low physical function(rs=-0.299,P=0.003).Multivariate logistic regression analysis showed that MNA-SF score(OR=0.577,95%CI 0.342-0.973)was an independent protective factor for pre-frailty in elderly patients with chronic CVD(P<0.05);NLR(OR=7.866,95%CI 1.101-56.185)was an independent risk factor for frailty,while HRR(OR=0.344,95%CI 0.120-0.983)and MNA-SF score(OR=0.292,95%CI 0.146-0.580)were independent protective factors for frailty in elderly CVD patients(P<0.05).The area under the ROC curve of NLR and HRR for diagnosing frailty in elderly patients with chronic CVD were 0.778 and 0.749,respectively.Conclusion NLR and HRR have high clinical diagnostic value for frailty in elderly patients with chronic CVD,and are expected to become effective inflammatory markers for screening elderly patients with chronic CVD complicated with frailty.

Objective To establish a rapid,sensitive,and specific multiplex PCR detection method for the simultaneous detection of Cryptosporidium,Eimeria,and bovine parvovirus.Methods Specific primers targeting the SSU rRNA genes of Cryptosporidium and Eimeria,as well as the VP2 gene of bovine parvovirus were designed and the corresponding recombinant plasmid standards were constructed.To establish the multiplex PCR method,the reaction conditions were optimized using temperature gradient PCR and single-variable control methods.The sensitivity,specificity,reproducibility,and clinical application of the protocol were evaluated.Results The optimal annealing temperature was found to be 60.5℃,and the forward and reverse primer concentrations were determined to be 0.2 μmol/L for Eimeria,and 0.4 μmol/L for Cryptosporidium and bovine parvovirus.The assay demonstrated high sensitivity,with detection limits of 243,260,and 3 110 copies for the recombinant plasmid standards of Cryptosporidium,Eimeria,and bovine parvovirus,respectively.Specificity testing showed no cross-reactivity with ten common bovine pathogens,including Salmonella,bovine viral diarrhea virus,and bovine rotavirus.Consistent intra-and inter-batch results confirmed the strong reproducibility of the method.Clinical application to 81 diarrhea samples from various regions in the Ganzi Prefecture,Sichuan,revealed positivity rates of 18.52%(15/81)for Cryptosporidium,34.57%(28/81)for Eimeria,and 18.52%(15/81)forbovineparvovirus,withamixedinfectionrateof3.7%(3/81).Conclusions Themultiplex PCR method established in this study offers a reliable tool for differential diagnosis and epidemiological investigation of the three common diarrheal pathogens in yaks.

Objective:To develop habitat radiomics models to predict early treatment responses to the hepatic arterial infusion chemotherapy (HAIC) combined with targeted therapy or immunotherapy in advanced hepatocellular carcinoma (HCC) patients, and to guide clinical diagnosis and treatment.Methods:From October 2021 to Decemeber 2023, at Army Characteristic Medical Center of PLA (Chongqing Daping Hospital) and the First Affiliated Hospital of Chongqing Medical University, 94 patients with advanced HCC who received HAIC combined with targeted therapy or immunotherapy were retrospectively enrolled. According to the treatment results, the patients were divided into response group and non-response group. Univariate and multivariate logistic regression were performed to analyze the clinical data of the patients. Based on contrast-enhanced CT images, tumor habitats were delineated and habitat features were extracted with k-means clustering, and the imaging features of arterial and venous phases were also extracted. The least absolute shrinkage and selection operator (LASSO) was used for dimensionality reduction. Feature selection was performed using LASSO to reduce dimensions, and then the selected features were further refined through stepwise logistic regression analysis.Binary logistic regression models were conducted to develop the habitat radiomics model, arterial phase radiomics model (APRM), venous phase radiomics model (VPRM), clinical data model, as well as the combination of radiomics model and clinical data model to predict early treatment (after 2 treatment cycles) response. Receiver operating characteristic curves (ROC) were plotted, and model performance was evaluated by the area under the curve (AUC), calibration curves, and decision curve. The models were validated through Bootstrap methods (1 000 times). DeLong test was used to compare AUC values.Results:The results of cluster analysis identified 3 characteristic habitats in HCC imaging: low-, medium-, and high-enhancement tumor habitats. The proportion of high-enhancement habitats was higher than that in the non-response group. A predictive model was established based on the proportions of these 3 habitats. Based on the proportion of low-, medium-, and high-enhancement habitats within the tumor, a habitat radiomics model was constructed. After LASSO selection and logistic regression analysis, 3 arterial phase and 3 venous phase radiomic features were selected to build the APRM and VPRM, respectively. Logistic regression analysis identified the following factors for the clinical data model: comorbidities ( OR=0.275, P=0.031), maximum tumor diameter ( OR=1.149, P=0.019), red blood cell count ( OR=0.463, P=0.022), alpha fetoprotein >400 μg/L ( OR=3.452, P=0.017), and tyrosine kinase inhibitor therapy ( OR=3.072, P=0.048). Among the single predictive model′s comparison, the AUC of habitat radiomics model was 0.860 (95% confidence interval(95% CI): 0.789 to 0.932), while those of the APRM、VPRM and clinical data model were 0.850 (95% CI: 0.773 to 0.926), 0.855 (95% CI: 0.782 to 0.928), and 0.774 (95% CI: 0.681 to 0.867), respectively, and there were no statistically significant among these models (all P>0.05). Among the combination models, the AUC of the habitat rediomic-clinical data combination model was 0.881 (95% CI: 0.814 to 0.947); the AUC of arterial phase rediomic-clinical data combination model was 0.897 (95% CI: 0.833 to 0.961); and the AUC of venous phase rediomic-clinical data combination model was 0.888 (95% CI: 0.826 to 0.951), but there were no statistically significant among the 3 models (all P>0.05). The calibration curve showed that the habitat rediomic-clinical data combination model had the most accurate predictive probability. Internal validation showed that the AUC of habitat rediomic-clinical data combination model was 0.848 (95% CI: 0.772 to 0.922), and the predictive performance was better than that of the clinical-data model (0.733 (95% CI: 0.670 to 0.863)). Conclusion:The habitat radiomics model based on enhanced CT can effectively predict early treatment responses to the HAIC combined with targeted therapy or immunotherapy in advanced HCC patients, which provides theoretical basis for individualized treatment in advanced HCC.

Objective:To establish a mouse model of liver cancer resistant to PD-1 monoclonal antibody and analyze the changes in its metabolomics to explore the potential mechanism of drug resistance.Methods:BALB/c mice were randomly divided into control and treatment groups after being loaded with tumor,and a normal group was additionally set up.The normal and control groups were injected with saline,and the treatment group was injected with PD-1 monoclonal antibody,after which the mice in the treatment group were screened for drug resistant and response groups.Observed the drug-resistant situation,body mass,tumor growth and survival rate of mice in each group,calculate the spleen index.The pathological features of tumor tissues were observed by HE staining method.Serum metabolites were detected by non-targeted metabolomics.Finally,a bivariate Pearson correlation analysis was conducted between the differential serum metabolites and tumor size.Results:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established,and the drug resistance rate of the mice was 50％.Compared with the normal and response groups,mice in the resistant group showed an increase in body weight,a significant increase in tumor volume,a decrease in survival rate,and a significant increase in splenic index.There was less lymphocyte infiltration in the tumor tissue.Metabolomics analysis showed that the serum levels of glutamic acid and aspartic acid increased and malic acid decreased in the resistant mice compared with the response group,and these changes were closely related to the arginine biosynthesis pathway.Conclusions:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established.The changes in its peripheral serum metabolomics mainly involve arginine metabolism and the related changes of aspartate,malate and glutamate.

Objective:To investigate the relationship between the expression levels of serum microRNA(miR-138-5p)and long non-coding RNA(LncRNA)NEAT1 in patients with colorectal cancer(CRC)and clinical pathological features and prognosis.Methods:Totally 163 CRC patients admitted to our hospital from May 2019 to August 2021 were used as the CRC group,and were assigned into a survival group(n=104)and a death group(n=47)based on 3-year prognosis.Another 175 patients with benign colorectal lesions were as the control group.Real-time fluorescence quantitative PCR was used to measure serum miR-138-5p and LncRNA NEAT1.K-M curve was used to analyze the relationship between serum miR-138-5p and LncRNA NEAT1 expression and prognosis of CRC.Multivariate Cox re-gression was used to analyze the influencing factors of prognosis of CRC.ROC was used to analyze the predictive value of serum miR-138-5p and LncRNA NEAT1 for prognosis of CRC.Results:Compared with the control group,the serum miR-138-5p in the CRC group was lower(t=12.802,P<0.05),and the LncRNA NEAT1 was higher(t=13.752,P<0.05).The serum miR-138-5p was related to the differentiation degree,T stage,and N stage of CRC patients(χ2=4.780,6.557,8499,P<0.05);and the serum LncRNA NEAT1 was associated with T stage and N stage in CRC patients(χ2=8.352,9.642,P<0.05).There were obvious differences between the survival group and the death group in T stage and N stage(χ2=6.801,7.580,P<0.05),and the serum miR-138-5p in the survival group was lower than that in the death group(t=8.290,P<0.05),while the serum LncRNA NEAT1 was higher than that in the death group(t=10.008,P<0.05).K-M curve showed that patients with high miR-138-5p expression had a higher 3-year survival rate than those with low miR-138-5p expression(Log Rank χ2=6.661,P=0.010);and the 3-year survival rate of patients with high ex-pression of LncRNA NEAT1 was lower than that of patients with low expression of LncRNA NEAT1(Log Rank χ2=10.620,P=0.001).Multivariate Cox regression analysis showed that T stage(HR=3.516),N stage(HR=2.983),serum miR-138-5p(HR=0.927),and LncRNA NEAT1(HR=1.659)were all factors affecting the prognosis of CRC(P<0.05).ROC results showed that the AUC for predicting poor prognosis in CRC by combining serum miR-138-5p and LncRNA NEAT1 was 0.716,which was obviously higher than that predicted by miR-138-5p(Z=3.173,P=0.002)and LncRNA NEAT1(Z=3.253,P=0.001)alone.Conclusion:Serum miR-138-5p is lower and LncRNA NEAT1 is higher in CRC pa-tients.Moreover,the levels of both are closely related to the clinical pathological features and prognosis.

Ischemic stroke is the most common type of stroke,characterized by a complex pathophysiology in which inflammato-ry responses play a pivotal role,significantly affecting patient outcomes.Following a stroke,the disruption of the blood-brain barrier facilitates interactions between the central nervous system(CNS)and the peripheral immune system,triggering a cascade of inflammatory responses that exacerbate ischemic brain injury.Microglia(MG),as the primary immune cells of the CNS,are highly sensitive to cerebral ischemia and interact with various peripheral immune cells to regulate the inflammatory response.For instance,neutrophils participate in early MG-mediated in-flammatory responses through the release of neutrophil extracel-lular traps;T cells interact with MG,exerting bidirectional effects on the spread of brain inflammation and tissue repair.Additionally,other immune cells such as B cells,monocytes/macrophages,and dendritic cells contribute to these processes through complex immune regulatory networks,influencing MG's inflammatory functions and its capacity for tissue repair.This re-view delves into the interaction mechanisms between MG and pe-ripheral immune cells,providing novel insights into the dynamic changes of post-stroke inflammation and potential directions for precision therapies aimed at modulating immune balance.

Objective:To explore the effect of Shenxianling granules on the pharmacokinetics of ondansetron. Methods:A method for detecting the plasma concentration of ondansetron using highperformance liquid chromatography (HPLC) was established. The reliability of the method was validated through specificity, linear relationship, precision, stability, repeated experiments, and sample recovery rate testing. Thirty six healthy male New Zealand rabbits were randomly divided into 2 groups, with 18 rabbits in each group. Rabbits in the single ondansetron group (single drug group) received intravenous injection of ondansetron 0.92 mg/kg through the ear vein. Rabbits in the Shenxianling granules combined with ondansetron group (combination drug group) were firstly given 575 mg/kg of Shenxianling granules by gavage continuously for 10 days, and on the morning of the 11th day, ondansetron 0.92 mg/kg was intravenously injected. Blood samples were collected before administration and at 5 minutes, 10 minutes, 20 minutes, 30 minutes, 45 minutes, 1 hour, 2 hours, 4 hours, 5 hours, 6 hours, 7 hours, 8 hours, 10 hours and 24 hours after administration of ondansetron. The blood concentration of ondansetron was detected using HPLC method and pharmacokinetic parameters were calculate. Results:Two New Zealand rabbits in the combination drug group developed agitation and cough, and then died on the second and fifth day of gavage, respectively. Therefore a total of 18 and 16 rabbits in the single drug group and the combination drug group completed the experiment, respectively. After ondansetron administration, the plasma concentration of ondansetron increased rapidly in the single drug group and remained at low levels in the combination drug group. From 5 minutes to 10 hours after administration, the plasma concentration of ondansetron at the 13 blood sampling time points in the combination drug group was significantly lower than that in the single drug group, and the differences were statistically significant (all P<0.001). Compared with the single drug group, the plasma clearance half-life of ondansetron in the combination drug group was significantly prolonged, the peak time, peak concentration, concentration at the last time and area under the curve (AUC) were all significantly reduced, and the percen- tage of residual or extrapolated area to the overall AUC, apparent volume of distribution, and clearance/bioavailability ratio were significantly increased; the differences were statistically significant (all P<0.001). Conclusions:There is a significant interaction between Shenxianling granules and ondansetron, leading to a decreased plasma concentration of ondansetron. The mechanism may be related to Shenxianling granules altering the tissue distribution of ondansetron within the body.