OBJECTIVE To construct an intelligent pharmaceutical Q&A platform for precision medication with low “artificial intelligence （AI） hallucination”， aiming to enhance the accuracy， consistency， and traceability of medication consultations. METHODS Medication package inserts were batch-processed and converted into structured data through Python programming to build a local pharmaceutical knowledge base. The retrieval and question-answering processes were designed based on large language models， and system integration and localized deployment were completed on Dify platform. By designing typical clinical medication questions and comparing the output of the intelligent pharmaceutical Q&A platform with the online version of DeepSeek across dimensions such as peak time retrieval， half-life， and dosage adjustment reasoning for patients with renal impairment， the accuracy and reliability of its retrieval and reasoning results were evaluated. RESULTS The intelligent pharmaceutical Q&A platform， constructed based on local drug package inserts， achieved 100% accuracy in retrieval and reasoning for peak time， half-life， and dosage adjustment schemes. In comparison， the online version of DeepSeek demonstrated accuracies of 30%（6/20）， 50%（10/20）， and 38%（23/60） across these three dimensions， respectively. CONCLUSIONS The constructed intelligent pharmaceutical Q&A platform is capable of accurately retrieving and extracting information from the local knowledge base based on clinical inquiries， thereby avoiding the occurrence of AI hallucinations and providing reliable medication decision support for healthcare professionals.

Dendritic cells (DCs) serve as the primary antigen-presenting cells in autoimmune diseases, like rheumatoid arthritis (RA), and exhibit distinct signaling profiles due to antigenic diversity. Type II collagen (CII) has been recognized as an RA-specific antigen; however, little is known about CII-stimulated DCs, limiting the development of RA-specific therapeutic interventions. In this study, we show that CII-stimulated DCs display a preferential gene expression profile associated with migration, offering a new perspective for targeting DC migration in RA treatment. Then, saikosaponin D (SSD) was identified as a compound capable of blocking CII-induced DC migration and effectively ameliorating arthritis. Optineurin (OPTN) is further revealed as a potential SSD target, with Optn deletion impairing CII-pulsed DC migration without affecting maturation. Function analyses uncover that OPTN prevents the proteasomal transport and ubiquitin-dependent degradation of C-C chemokine receptor 7 (CCR7), a pivotal chemokine receptor in DC migration. Optn-deficient DCs exhibit reduced CCR7 expression, leading to slower migration in CII-surrounded environment, thus alleviating arthritis progression. Our findings underscore the significance of antigen-specific DC activation in RA and suggest OPTN is a crucial regulator of CII-specific DC migration. OPTN emerges as a promising drug target for RA, potentially offering significant value for the therapeutic management of RA.

Acute kidney injury (AKI) has high morbidity and mortality, but effective clinical drugs and management are lacking. Previous studies have suggested that macrophages play a crucial role in the inflammatory response to AKI and may serve as potential therapeutic targets. Emerging evidence has highlighted the importance of forkhead box protein O1 (FoxO1) in mediating macrophage activation and polarization in various diseases, but the specific mechanisms by which FoxO1 regulates macrophages during AKI remain unclear. The present study aimed to investigate the role of FoxO1 in macrophages in the pathogenesis of AKI. We observed a significant upregulation of FoxO1 in kidney macrophages following ischemia-reperfusion (I/R) injury. Additionally, our findings demonstrated that the administration of FoxO1 inhibitor AS1842856-encapsulated liposome (AS-Lipo), mainly acting on macrophages, effectively mitigated renal injury induced by I/R injury in mice. By generating myeloid-specific FoxO1-knockout mice, we further observed that the deficiency of FoxO1 in myeloid cells protected against I/R injury-induced AKI. Furthermore, our study provided evidence of FoxO1's pivotal role in macrophage chemotaxis, inflammation, and migration. Moreover, the impact of FoxO1 on the regulation of macrophage migration was mediated through RhoA guanine nucleotide exchange factor 1 (ARHGEF1), indicating that ARHGEF1 may serve as a potential intermediary between FoxO1 and the activity of the RhoA pathway. Consequently, our findings propose that FoxO1 plays a crucial role as a mediator and biomarker in the context of AKI. Targeting macrophage FoxO1 pharmacologically could potentially offer a promising therapeutic approach for AKI.

Objective:To explore the effect of heme-binding protein 1(HEBP1)down-regulation on the function of microglia BV2,and to clarify the key role of HEBP1 in the microglia.Methods:Negative control and HEBP1 knockdown small interfering RNA(siRNA)were constructed to knockdown HEBP1 gene in mouse-derived microglial BV2,and the HEBP1 knockdown BV2 cell models were obtained.The BV2 cells were divided into si-NC group,si-HEBP1-1 group,si-HEBP1-2 group,and si-HEBP1-3 group.Real-time fluorescence quantitative PCR(RT-qPCR)and Western blotting methods were used to detect the expression levels of HEBP1 mRNA and protein in the BV2 cells after knockdown;the siRNA with the most significart knockdown effect was selected for stlbsequent expreriments.The proliferation abilities of the cells in si-NC group and si-HEBP1 group were detected by cell counting kit-8(CCK-8)assay,and the cell migration rates were assessed by scratch assay;the cellular mitochondrial membrane potential and reactive oxygen species(ROS)levels were detected by kits;the cellular mitochondrial respiratory function was detected by mitochondrial respirometer.The BV2 cells were divided into si-NC group,si-NC+lipopolysacch aride(LPS)group,si-HEBP1 group,and si-HEBP1+LPS group.RT-qPCR method was used to detect the expression levels of HEBP1,interleukin-1β(IL-1β),tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6)mRNA in the BV2 cells in various groups,and Western blotting method was used to detect the expression levels of HEBP1 protein in the BV2 cells in various groups.Results:When the BV2 cells were transfected with siRNA carrying with red fluorescence tag CY3,the transfect effricacy was above 90％;compared with si-NC group,the expression levels of HEBP1 protein in the BV2 cells in si-HEBP1-1 group,si-HEBP1-2 group,and si-HEBP1-3 group were significantly decreased(P<0.05 or P<0.01),especially in si-HEBP1-1 group.Compared with si-NC group,the expression levels of HEBP1 mRNA in the BV2 cells in si-HEBP1-1 group,si-HEBP1-2 group,and si-HEBP1-3 group were significantly decreased(P<0.01),especially in si-HEBP1-1 group;indicating that si-HEBP1-1 was the siRNA with best HEBP1 knowdown effect,and the HEBP1 knockdown BV2 cell model was successfully constructed.The CCK-8 resuts showed that compared with si-NC group,the proliferation activities of the BV2 cells in si-HEBP1 group were decreased(P<0.05 or P<0.01);from 90 min,the differences in proliferation activities of the BV2 cells in two groups were obvious.The cell scratch experiment results showed that compared with si-NC group,the cell migration rate in si-HEBP1 group was significantly decreased(P<0.05).The fluorescence microscope results showed that compared with si-NC group,the mitochondrial membrane potential of the BV2 cells in si-HEBP1 group was significantly decreased(P<0.05);compared with si-NC group,the ROS level in the BV2 cells in si-HEBP1 group was significantly increased(P<0.05).The mitochondrial respiration function testing results showed that compared with si-NC group,routine respiration(ROUNTINE)and leak respiration(LEAK)in si-HEBP1 group were significautly decreased(P<0.05 or P<0.01),and electron transfer system capacity(ETS)and residual oxygen consumption(ROX)had no significant differences(P>0.05);the ATP amount was decreased(P<0.05).The RT-qPCR results showed that compared with si-NC group,the expression levels of IL-1β,TNF-α,and IL-6 mRNA in the BV2 cells in si-NC+LPS group were significantly decreased(P<0.01);compared with si-HEBP1 group,the expression levels of IL-1β,TNF-α,and IL-6 mRNA in the BV2 cells in si-HEBP1+LPS group were significantly decreased(P<0.01);compared with si-NC+LPS group,the expression levels of IL-1β,TNF-α,and IL-6 mRNA in the BV2 cells in si-HEBP1+LPS group were significantly increased(P<0.01).Conclusion:Knockdown of HEBP1 gene can decrease the proliferation and migration abilities of the microglia BV2 and increase inflammatory response to LPS stimulus,and their mechanisms may be related to mitochondrial function damage and decreased ATP production of the BV2 cells.

Objective:To develop a nomogram model for predicting the risk of ventilator-associated pneumonia (VAP) in patients with mechanical ventilation (MV) and to validate the stability of the prediction performance of the model.Methods:The patients with MV admitted to the Department of Critical Care Medicine of General Hospital of Ningxia Medical University from January 2019 to December 2022 were retrospectively selected according to the order of admission. The patients with MV were divided into the non-VAP group and the VAP group according to whether VAP occurred. The clinical data of the two groups, including general information, disease, medication, condition, and operation-related indicators were collected as candidate predictors of the model for comparison. Multivariate logistic stepwise forward regression analysis was used to screen the predictors that finally entered the model, and a nomogram model was constructed. The model discrimination was evaluated by the area under the receiver operating characteristic curve (AUC), the diagnostic test results of the model at the predicted threshold were calculated, the Hosmer-Lemeshow test was used to evaluate the model fit, and the Bootstrap resampling was used 1 000 times for internal validation, and model calibration and clinical applicability were evaluated by calibration curve and decision analysis curve, respectively.Results:A total of 1 250 patients with MV were included, including 1 102 patients in the non-VAP group and 148 patients in the VAP group, and the prevalence of VAP was 11.8%. The detection of multidrug-resistant organisms, chronic kidney disease, brain injury, oxygenation index, the place of tracheal intubation, reintubation, use of bronchoscopy, use of antibiotics, and MV duration were model predictors of VAP. The AUC of the nomogram model was 0.917 (95% CI: 0.895-0.939), the maximum Youden index of 0.697 corresponded to a prediction threshold of 0.096. The model accuracy, sensitivity and specificity were 0.836, 0.865, and 0.832, respectively. The positive predictive value and the negative predictive value were 0.409 and 0.979, respectively. The Hosmer- Lemeshow test indicated that the model fit well ( P=0.938). The results of the internal validation of the model showed that the predicted risk of the calibration curve was generally consistent with the actual risk, and the decision threshold probability of the decision analysis curve ranged from 2% to 90%. Conclusions:The nomogram model developed in this study is simple, convenient and has relatively stable prediction performance, which can be externally validated to evaluate the extrapolation of the model, and provide a basis for individualized clinical prediction of the risk of VAP in patients with MV.

Objective:To investigate the association of total sleep time (TST) and oxygen desaturation index (ODI) with hypertension in patients with obstructive sleep apnea/hypopnea syndrome (OSA).Methods:A total of 440 OSA patients admitted to Yixing Hospital from January 2017 to December 2022 were consecutively enrolled, including 236 patients with hypertension (OSA+hypertension group) and 204 patients without hypertension (OSA group). The clinical data and polysomnograpic parameters were collected. Univariate and multivariate logistic regression was used to analyze the related factors of OSA complicated with hypertension. The multiplicative interaction between TST and ODI on OSA with hypertension was analyzed. A two-factor cross-over analysis of TST and ODI was performed and the additive interaction model was used to analyze the additive interaction between TST and ODI on OSA with hypertension.Results:Univariate logistic regression showed that male sex, smoking, diabetes, coronary heart disease, TST <7 h, age, body mass index, neck circumference, waist circumference, Epworth Sleepiness Scale (ESS) score, TST, AHI, ODI>16 times/h, triglyceride, high density lipoprotein cholesterol and fasting blood glucose were positively correlated with hypertension in OSA patients (all P<0.05). Multivariate logistic regression analysis showed that smoking ( OR=4.327, 95% CI: 2.499-2.499, P<0.001), TST<7 h ( OR=1.748, 95% CI: 1.079-2.832, P=0.023) and ODI>16 times/h ( OR=3.482, 95% CI: 2.016-6.014, P<0.001) were independently associated with hypertension in OSA patients. After introducing a multiplicative term and adjusting for confounding factors, there was a positive multiplication interaction between TST <7 h and ODI>16 times/h ( OR=2.958, 95% CI: 1.079-8.113, P<0.050). Multivariate logistic regression analysis showed that the risk of hypertension in OSA patients with TST<7 h and ODI>16 times/h was 7.196 times (95% CI: 3.421-15.137) higher than that in patients with TST≥7 h and ODI≤16 times/h. The additive interaction model showed a synergistic effect between TST<7 h and ODI>16 times/h, with S value of 4.302 (95% CI: 1.566-11.815), RERI value of 4.756 (95% CI: 0.642-8.869) and API value of 66.10% (95% CI: 43.10%-89.10%). Conclusion:Shortened sleep duration and increased ODI are independent risk factors for hypertension in OSA patients, and when they coexist, the risk of hypertension in OSA patients is further increased.

Objective:To conduct a series case study on hospitalized anthrax cases in five hospitals in North China, to share clinical experiences in the diagnosis and treatment of cutaneous and pulmonary anthrax.Methods:A retrospective, multicenter cohort study was conducted on the anthrax patients admitted to five hospitals in North China from August 2018 to March 2022. Forty patients were divided into severe and mild groups. The clinical features, treatment and prognosis of the patients were collected and analysed. Statistical evaluations included independent sample t test, Mann-Whitney U test, and chi-square test. Results:Among the 40 patients with anthrax, 10(25.0%) were severely ill and 30(75.0%) were mildly ill. According to the sites of infection, 40 patients were classified as 39 cutaneous anthrax cases (one case had secondary pulmonary anthrax) and one pulmonary anthrax case. The rates of chills and fever, lymphadenopathy, liver dysfunction and hypoalbuminemia in the severe group were all higher than those in the mild group, with statistically significant differences ( χ2=5.71, 6.54, 4.68 and 9.22, respectively, all P<0.05). The peripheral white blood cell count, neutrophil count, neutrophil/lymphocyte ratio and C-reactive protein were (11.8±4.9)×10 9/L, (9.5±5.1)×10 9/L, 8.6±7.3, 27.9(8.6, 167.7) mg/L, respectively, which were all higher than those in mild disease group ((7.5±2.4)×10 9/L, (5.0±2.1)×10 9/L, 3.2±2.3, 3.5(1.2, 14.7) mg/L), with statistically significant differences ( t=2.66, t=2.71, t=2.32 and Z=-3.01, respectively, all P<0.05). The albumin level in the severe group was (35.5±8.1) g/L, which was lower than that of the mild group ((43.7±3.2) g/L), and the difference was statistically significant ( t=-3.13, P=0.011). The severe cases were more likely to have skin lesions greater than four centimetre in diameter, multiple, vesicular, or edematous, with a significant difference ( χ2=6.01, P=0.014). Among 39 patients with cutaneous anthrax, 28(71.8%) in the mild group were treated with penicillin alone, and nine (23.1%) in the severe group were treated with penicillin, ofloxacin, piperacillin/tazobactam combined with one of linezolid, doxycycline, or clindamycin for anti-infection treatment. The two patients with pulmonary anthrax were treated with closed thoracic drainage for pleural effusion and pneumothorax, and were treated with two bactericidal and one protein synthesis inhibitor antibiotics. All 40 anthrax patients were cured and discharged from hospital. Conclusions:Patients with mild cutaneous anthrax can generally be treated with single penicillin, and patients with severe cutaneous anthrax and pulmonary anthrax should be treated with combined antibiotics.

Objective:To discuss the relationship between 18F-FDG PET/CT metabolic parameters and clinical pathological indicators and prognosis in cutaneous malignant melanoma (CMM). Methods:A total of 100 CMM patients (62 males, 38 females, age (56.5±2.5) years) who underwent 18F-FDG PET/CT scans at the Second Xiangya Hospital of Central South University from August 2013 to November 2022 were retrospectively enrolled. Clinical pathological indicators (such as primary site, TNM staging, sentinel lymph node (SLN) status) and metabolic parameters (SUV max, metabolic tumor volume (MTV), total lesion glycolysis (TLG), whole-body MTV (wb-MTV), and whole-body TLG (wb-TLG)) were collected. ROC curve analyses were used to determine the PET parameters thresholds for progression-free survival (PFS) and melanoma-specific survival (MSS). Kaplan-Meier survival analysis, univariate and multivariate Cox proportional hazards regression models were used to analyze the prognosis of patients′ PFS and MSS, and a nomogram survival prediction model was constructed. Results:Results of ROC curve analyses showed that the thresholds of SUV max of primary tumor (p-SUV max), MTV of primary tumor (p-MTV), TLG of primary tumor (p-TLG), wb-MTV and wb-TLG for predicting PFS and MSS were 7.13, 2.24 cm 3, 6.98 g, 2.57 cm 3, 8.04 g and 9.09, 2.34 cm 3, 7.44 g, 2.24 cm 3, 9.17 g, respectively. Results of univariate analysis indicated that several clinical pathological indicators and metabolic parameters were prognostic risk factors for PFS and MSS. Results of multivariate analysis indicated that metastases of SLN (hazard ratio( HR)=2.54, 95% CI: 1.09-5.90; P=0.030) and wb-TLG>8.04 g( HR=2.58, 95% CI: 1.17-5.72; P=0.019) were independent prognostic risk factors for PFS, while metastases of SLN ( HR=4.53, 95% CI: 1.54-13.35; P=0.006) and wb-TLG>9.17 g ( HR=2.48, 95% CI: 1.26-4.89; P=0.009) were independent risk prognostic factors for MSS. A nomogram survival prediction model based on PET metabolic parameter (wb-TLG) and clinical pathological indicator (SLN status) can effectively predict the prognosis of CMM patients. Conclusions:Clinical pathological parameters and PET parameters are associated with the prognosis of CMM patients. SLN status is critical for prognosis.

ObjectiveTo investigate the influence of triglyceride （TG）/high-density lipoprotein cholesterol （HDL-C） ratio on the onset of primary liver cancer. MethodsA prospective cohort study was conducted. Physical examination data were collected from 99 750 cases of on-the-job and retired employees of Kailuan Group who participated health examination from July 2006 to December 2007， and they were followed up till December 31， 2021 to observe the onset of primary liver cancer. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups， and the Kruskal-Wallis H test was used for comparison of continuous data with skewed distribution between multiple groups； the chi-square test was used for comparison of categorical data between groups. According to the tertiles of TG/HDL-C ratio， the subjects were divided into Q1， Q2， and Q3 groups， and the incidence density of primary liver cancer was calculated for each group. The Kaplan-Meier method was used to calculate the cumulative incidence rate of primary liver cancer in each group， and the log-rank test was used to compare the difference in cumulative incidence rate between groups. The Cox proportional hazards model was used to analyze the influence of TG/HDL-C ratio on the onset of primary liver cancer. ResultsThere were significant differences between the three groups in age， proportion of male subjects， waist circumference， body mass index， fasting blood glucose， systolic pressure， diastolic pressure， triglyceride， total cholesterol， HDL-C， low-density lipoprotein cholesterol， alanine aminotransferase， high-sensitivity C-reactive protein， chronic liver diseases， hypertension， diabetes， the family history of malignant tumor， drinking， smoking， physical exercise， and educational level （P<0.05）. During the mean follow-up time of 14.06±2.71 years， there were 484 cases of new-onset liver cancer， among whom there were 446 male subjects and 38 female subjects. The incidence density of primary liver cancer was 0.39/1 000 person-years in the Q1 group， 0.35/1 000 person-years in the Q2 group， and 0.30/1 000 person-years in the Q3 group， and the cumulative incidence rates of primary liver cancer in the three groups were 6.03‰， 5.28‰， and 4.49‰， respectively， with a significant difference between the three groups based on the long-rank test （χ²=6.06， P=0.048）. After adjustment for the confounding factors considered， the Cox proportional hazards model showed that compared with the Q3 group， the Q1 group had a hazard ratio of 2.04 （95% confidence interval ［CI］： 1.61‍ ‍—‍ ‍2.58， P_{for trend}<0.05）， and the Q2 group had a hazard ratio of 1.53 （95%CI： 1.21‍ ‍—‍ ‍1.92， P_{for trend}<0.05）. ConclusionThe reduction in TG/HDL-C ratio is associated with an increase in the rask of primary liver cancer， especially in people with chronic liver diseases.

OBJECTIVES: This study examined the associations between adverse childhood experiences (ACEs) and diabetes within a social-ecological framework, incorporating personal and environmental unfavorable conditions during childhood from family, school, and community contexts. METHODS: Data were obtained from the China Health and Retirement Longitudinal Study (2014 life history survey and 2015 survey), including 9,179 participants aged ≥45 years. ACEs were collected through self-report questionnaires, and participants were categorized based on the number of distinct ACEs experienced (0, 1, 2, 3, or ≥4 ACEs). Diabetes was defined by biomarkers, self-reported diagnosis, and treatment status. Logistic regression was conducted to explore the associations between ACEs and diabetes. Subgroup analyses were conducted by gender, age, and obesity status. RESULTS: Compared with participants without ACEs, those exposed to any ACE (odds ratio [OR], 1.19; 95% confidence interval [CI], 1.01 to 1.40), 3 ACEs (OR, 1.32; 95% CI, 1.07 to 1.62) and ≥4 ACEs (OR, 1.29; 95% CI, 1.07 to 1.56) had an increased risk of diabetes. For each additional ACE, the risk of diabetes increased by about 5%. Regarding the source of ACEs, those originating from the family (OR, 1.23; 95% CI, 1.08 to 1.41) were associated with diabetes. In terms of specific ACE types, family members with substance abuse (OR, 1.23; 95% CI, 1.01 to 1.52), emotional abuse (OR, 1.28; 95% CI, 1.12 to 1.46), and poor parental relationship (OR, 1.25; 95% CI, 1.09 to 1.43) were associated with diabetes. CONCLUSIONS ACEs, particularly those originating from the family, were associated with diabetes. Interventions aimed at preventing and mitigating ACEs are essential for the early prevention of diabetes.