ObjectiveTo investigate the effect of quercetin on acute gouty arthritis （GA） in rats by inhibiting the reactive oxygen species （ROS）/NOD-like receptor protein 3 （NLRP3）/interleukin-1β （IL-1β） signaling pathway. MethodsSixty SPF-grade male SD rats were randomized into normal， model， colchicine （0.3 mg·kg^-1）， and low-， medium-， and high-dose （25， 50， 100 mg·kg^-1， respectively） quercetin groups （n=10）. The rats in the dosing groups were administrated with the corresponding drugs （10 mL·kg^-1） by gavage once a day for one week. An equal volume of normal saline was given by gavage to rats in normal and model groups. One hour after drug administration on day 5， an acute GA model was established in other groups except the control group via intra-articular injection of monosodium urate （MSU） suspension into the right posterior ankle joint cavity. The joint swelling and gait were scored at the time points of 6， 12， 24， 48 h after modeling. Histopathological alterations in the ankle joint tissue from each group were assessed by hematoxylin-eosin （HE） staining. Malondialdehyde （MDA）， xanthine oxidase （XOD）， and total superoxide dismutase （T-SOD） assay kits were used to assess the levels of MDA， XOD， and T-SOD in the serum. The levels of tumor interleukin-6 （IL-6）， necrosis factor-α （TNF-α）， and IL-1β in the rat serum， as well as ROS in the ankle joint tissue， were measured by enzyme-linked immunosorbent assay （ELISA）. Western blot was performed to determine the protein levels of NLRP3， thioredoxin-interacting protein （TXNIP）， apoptosis-associated speck-like protein containing a CARD domain （ASC）， precursor cysteinyl aspartate-specific proteinase-1 （pro-Caspase-1）， cleaved Caspase-1 （Caspase-1 p20）， and IL-1β in the ankle joint tissue. Real-time PCR was employed to assess the mRNA levels of TXNIP， NLRP3， ASC， IL-1β， and TNF-α in the ankle joint tissue. ResultsCompared with the normal group， the model group exhibited decreased spontaneous activity， mental fatigue， increased ankle joint swelling and gait scores （P<0.01）， aggravated synovial tissue edema and inflammatory cell infiltration （P<0.01）， elevated levels of XOD， MDA， TNF-α， IL-1β， and IL-6 in the serum and ROS in the joint tissue （P<0.01）， a declined level of T-SOD （P<0.01）， up-regulated protein levels of NLRP3， TXNIP， ASC， pro-Caspase-1， Caspase-1 p20， and IL-1β in the ankle joint tissue （P<0.01）， and up-regulated mRNA levels of NLRP3， TXNIP， ASC， IL-1β， and TNF-α in the ankle joint tissue （P<0.01）. Compared with the model group， the medium- and high-dose quercetin groups showed improved general conditions， decreased gait scores （P<0.05， P<0.01）， reduced joint swelling （P<0.01）， alleviated synovial tissue edema and inflammatory cell infiltration （P<0.05， P<0.01）， lowered levels of XOD， MDA， TNF-α， IL-1β， and IL-6 in the serum and ROS in the joint tissue （P<0.01）， increased levels of T-SOD （P<0.01）， down-regulated protein levels of TXNIP， NLRP3， ASC， pro-Caspase-1， Caspase-1 p20， and IL-1β in the ankle joint tissue （P<0.05， P<0.01）， and down-regulated mRNA levels of TXNIP， NLRP3， ASC， IL-1β， and TNF-α in the ankle joint tissue （P<0.01）. Low-dose quercetin also ameliorated some of the above parameters （P<0.05， P<0.01）. ConclusionQuercetin exerts anti-GA effects by blocking the ROS/NLRP3/IL-1β signaling pathway， downregulating NLRP3 inflammasome activation， and inhibiting the production of pro-inflammatory cytokines including TNF-α， IL-1β， and IL-6.

Background/Aims: Natural killer (NK) cell function is generally considered dampened in chronic hepatitis B virus (HBV) infection; however, the NK cell pool exhibits phenotypic and functional heterogeneity, and the antibody--mediated effect of NK cells remains less characterized. This study evaluated the dynamic changes in antibody-mediated NK cell responses and the involvement of distinct NK subsets across disease stages and during antiviral treatment. Methods: A T-cell receptor-like antibody specific for the HBV core 18–27 peptide (cTCRL-Ab) was used to determine the antibody-mediated effect of NK cells, and an array of NK cell surface markers were analyzed in cross-sectional and longitudinal cohorts of patients with chronic HBV infection. Single-cell RNA sequencing (scRNA-seq) was performed to identify the heterogeneity of NK subsets. Results: The cTCRL-Ab enabled the detection of NK cell cytolytic activity and IFNγ production. Notably, cTCRL-Ab-mediated NK cell responses were compromised in chronically HBV-infected patients, particularly in those receiving pegylated interferon-α (Peg-IFNα), which was associated with the downregulation of CD16 expression. Correspondingly, Peg-IFNα inhibited cTCRL-Ab-mediated NK cell function by reducing CD16 expression in vitro. scRNA-seq revealed that CD16 downregulation occurred mainly within a dysfunctional CD16hi NK subset exhibiting exhaustion properties. In contrast, an activated CD16hiNK subpopulation (CX3CR1⁺KLRC2–CD16hi) with high cytotoxicity was enriched in patients who experienced favorable treatment responses. Furthermore, the intrahepatic CX3CR1+KLRC2–CD16hi subset tended to exhibit functional restoration in HBsAg-loss individuals. Conclusions Our data contribute to the understanding of antibody-mediated responses of NK cells in chronic HBV infection, and highlight a previously unappreciated functional CX3CR1+KLRC2–CD16hiNK subset as a potential therapeutic target.

Objective: To analyze the current status and influencing factors of psychological crisis among college students, so as to provide a scientific basis for the formulation of psychological crisis intervention plans in colleges and universities. Methods: From September to December 2024, 645 college students from a medical undergraduate university in Heilongjiang Province were selected with a convenience sampling method. A convergent mixed analysis design was used. Quantitative analysis was conducted using College Students Psychological Crisis Screening Scale, Emotion Regulation Questionnaire, Short-Egna Minnen av Barndoms Uppfostran and Perceived School Climate Scale. Binary Logistic regression analysis was used to explore the related factors of psychological crisis among college students. Qualitative research was conducted on 15 college students with psychological crisis identified in the quantitative analysis by a purposive sampling method. The interview data were organized and analyzed using the thematic framework analysis method. Results: Among the surveyed college students, 92 (14.3%) had psychological crisis. Binary Logistic regression analysis results showed that positive parenting style ( OR=0.97,95%CI =0.95-0.99), negative parenting style ( OR=1.01,95%CI =1.00-1.02), cognitive reappraisal ( OR=0.88, 95%CI =0.83-0.92), expressive suppression ( OR=1.08, 95%CI =1.02-1.15), and perceived campus atmosphere ( OR=0.97, 95%CI =0.95-0.98) were all related factors of psychological crisis among college students ( P <0.05). The qualitative analysis results showed that there were three themes for the influencing factors of college students psychological crisis, including differential impact of emotion regulation strategies on psychological state, shaping of psychological state of college students by family and bidirectional effect of perceived campus atmosphere on psychological state. Mixed analysis results showed that the influencing factors of college students psychological crisis were consistent in terms of emotion regulation strategies, and were expansive in terms of parenting style and perceived campus atmosphere. Conclusion Schools and mental health service departments can reduce the risk of psychological crisis by optimizing cognitive reappraisal and reducing expressive suppression, improve the level of psychological crisis by strengthening positive family interaction and blocking negative parenting style, and maintain the mental health level of college students by building a supportive campus environment and alleviating high pressure.

OBJECTIVE To evaluate the efficacy and safety of high-dose ilaprazole combined with amoxicillin for newly diagnosed elderly patients with Helicobacter pylori （Hp） infection， and analyze independent risk factors for failure of Hp infection eradication treatment. METHODS Totally 200 cases of newly diagnosed elderly patients with Hp infection in Xinxiang Central Hospital from August 1， 2021 to December 1， 2024 were selected and randomly divided into control group and study group， with 100 cases in each group. The control group was treated with classic quadruple therapy regimen （Amoxicillin capsules+ Clarithromycin tablets+Bismuth potassium citrate tablets+Ilaprazole enteric-coated tablets）. The study group was treated with high- dose Ilaprazole enteric-coated tablets+Amoxicillin capsules. All patients were administered medication for 2 weeks. Hp eradication rates in the two groups were compared using intention-to-treat （ITT） and per-protocol （PP） analyses. The incidence of adverse reactions in both groups was also recorded. The multiple-factor Logistic regression analysis was used to identify independent risk factors for failure of Hp infection eradication treatment. RESULTS In ITT and PP analyses， there was no significant difference of Hp eradication rates between the two groups （P＞0.05）. There was no significant difference in incidence of mild to moderate adverse reactions between the two groups （P＞0.05）. BMI ≤18.5 kg/m2， BMI ＞23.9 kg/m2， rural residence， concomitant diabetes and concomitant heart disease were identified as independent risk factors influencing the failure of Hp infection eradication treatment （P＜0.05）. CONCLUSIONS The efficacy and safety of high-dose ilaprazole combined with amoxicillin are comparable to classic quadruple therapy regimen in treating newly diagnosed elderly patients with Hp infection. Independent risk factors influencing the failure of Hp infection eradication treatment include BMI ≤18.5 kg/m2， BMI ＞23.9 kg/m2， rural residence， concomitant diabetes and concomitant heart disease.

Objective:To develop and validate a 30-day readmission risk prediction model for patients with chronic obstructive pulmonary disease (COPD) using multiple machine learning algorithms.Methods:Convenience sampling was used to select 1 450 COPD patients hospitalized at Tianjin Medical University General Hospital from January 2017 to December 2023 as study subjects. Twenty-nine variables associated with readmission were included. LASSO was used to screen for primary characteristic variables associated with 30-day readmission. The 1 450 patients were divided into a training set ( n=870) and a test set ( n=580) in a 6∶4 ratio. Ten machine learning methods, including random forest, AdaBoost, extreme radient Boosting (XGB), decision tree and so on, were used for model training and testing to identify the optimal prediction model. The optimal model and SHAP were employed to analyze key features and rank characteristic importance. Results:Among 1 450 COPD patients, the 30-day readmission rate was 24.48% (355/1 450). There were no significant differences in the general information between patients in test set and training set ( P>0.05). LASSO regression analysis identified seven variables with the highest predictive value, namely regular weekly exercise, hospital stay, mean arterial pressure, forced expiratory volume in one second/forced vital capacity (FEV1/FVC), C-reactive protein, body mass index, and medication adherence. Machine learning showed that in the training set, XGB had the highest area under the receiver operating characteristic curve ( AUC), sensitivity, and F1 score of 0.943, 0.926, and 0.930, respectively. In the test set, the AUC and accuracy of XGB were 0.882 and 0.858, respectively, and XGB's various scores showed that it had good generalization and predictive performance. XGB analysis showed that medication adherence, FEV1/FVC, and regular weekly exercise were negatively correlated with the 30-day readmission risk, while body mass index, C-reactive protein, mean arterial pressure, and hospital stay were positively correlated. The characteristics ranked in order of importance were medication adherence, body mass index, C-reactive protein, mean arterial pressure, FEV1/FVC, hospital stay and regular weekly exercise. Conclusions:The XGB model has strong predictive performance and good generalization ability, which can effectively predict the 30-day readmission risk of COPD patients, assist in clinical identification of high-risk patients, implement nursing interventions, and reduce readmission rates.

Objective To evaluate the relationship between triglyceride-glucose index(TyG)and intensive care unit(ICU)mor-tality in patients with non-diabetic sepsis.Methods The retrospective cohort study analyzed the data from sepsis patients admitted to the Second Hospital & Clinical Medical School,Lanzhou University between January 2018 and December 2023.The patients were divided into three groups based on the terartiles of the TyG index:group T1,group T2 and group T3,with ICU mortality as the primary endpoint.Multivariate COX regression analysis and restricted cubic spline(RCS)modeling were performed to investigate the potential non-linear relationship between the TyG index and ICU mortality of patients with sepsis,and subgroup analysis were conducted to further explore these relationships.Results This study included 578sepsis patients,with an ICU mortality of 16.96％.The Kaplan-Meier survival curve analysis indicated that the ICU mortality in the group T3 was significantly higher than that in the group T1.The RCS analysis re-vealed a linear relationship between the TyG index and ICU mortality,for every 1-unit increase in the TyG index,the risk of ICU mortal-ity increased by approximately 54％.Subgroup analysis demonstrated consistent effect directions across different subgroups,with no sub-group-specific effects,indicating the robustness of the results.Conclusion TyG index may serve as a potential biomarker for predicting ICU mortality in non-diabetic sepsis patients.

With the increasing aging population in China and rising incidence rates of diseases such as cancer and cardiovascular conditions, the demand for palliative care services continues to grow. In recent years, the integration of artificial intelligence and medical disciplines has advanced significantly, with machine learning research and applications in the palliative care field progressing steadily. This paper reviews the overview of machine learning, its applications in palliative care, and effectiveness evaluations. It also discusses existing limitations in current research and provides recommendations for future studies. The aim is to assist healthcare professionals in improving palliative care services and offer valuable insights for the development of palliative care in China.

Emergence agitation(EA)is a common complication after general anesthesia,especially in children and adolescents.Remifentanil,as a short-acting μ-receptor agonist,has become an important drug for the prevention and treatment of EA due to its rapid recovery and low risk of respiratory depression.This article reviews the mechanism of action and clinical research progress of remifentanil in the prevention and treatment of EA.Its mechanism of action involves the inhibition of pain signals mediated by traditional μ-receptor activation and potential new mechanism based on neural-endocrine-immune network,including regulation of microglial inflammatory pathways,and the modulation of cytokines and chemokines,etc.Clinical studies have shown that remifentanil can significantly shorten the recovery time,reduce the incidence of EA,and further optimize the analgesic effect and recovery quality by combining with other drugs(such as local anesthetics,sedatives,and opioid drugs).Future research should further explore the mechanism of action of remifentanil,optimize clinical treatment strategies,and conduct large-scale clinical trials to standardize the drug use plan,while paying attention to its long-term effects and the development of multimodal treatment plans to promote the further development of EA prevention and treatment plans.

Objective To investigate the relationship between cerebrospinal fluid(CSF)colony stimulating factor 1 receptor(CSF1R)and CSF biomarkers of Alzheimer disease(AD),and to analyze whether CSF1R is associated with mild cognitive impairment patients'cognition.Methods Data from non-demented adults were collected from the Alzheimer Disease Neuroimaging Initiative database,and participants were divided into four groups(A-/TN-,A+/TN-,A+/TN+and A-/TN+),according to the NIA-AA criteria,and the dynamic changes of CSF1R in CSF at different pathological stages of AD were tracked.Multiple linear regression models were used to analyze the relationship between CSF1R and AD biomarkers and cognition,and mediation models were used to investigate the potential association between CSF1R and AD pathology.Results A total of 451 non-demented adults were enrolled in this study,and we found that CSF CSF1R levels were increased in the A-/TN+group(P<0.05)and the A+/TN+group(P<0.05)compared with the A+/TN-group.CSF CSF1R levels were significantly and positively correlated with CSF tau protein(P<0.001)and phosphorylated tau protein(P<0.001)levels but not with amyloid β-protein(P=0.123),and similar results were obtained in the cognitively normal and mild cognitive impairment groups.In the mild cognitive impairment group,higher CSF CSF1R levels were associated with lower cognitive(P<0.05)levels.Furthermore,the relationship between CSF1R and AD pathology was mediated in part by soluble triggering receptor expressed on myeloid cells 2(sTREM2)(percentage:19.3%to 31.4%).Conclusions This study is the first study to discover the association of CSFIR with AD biomarkers and cognition,and CSF1R may influence AD pathology through soluble TREM2(sTREM2).

With the increasing aging population in China and rising incidence rates of diseases such as cancer and cardiovascular conditions, the demand for palliative care services continues to grow. In recent years, the integration of artificial intelligence and medical disciplines has advanced significantly, with machine learning research and applications in the palliative care field progressing steadily. This paper reviews the overview of machine learning, its applications in palliative care, and effectiveness evaluations. It also discusses existing limitations in current research and provides recommendations for future studies. The aim is to assist healthcare professionals in improving palliative care services and offer valuable insights for the development of palliative care in China.