ObjectiveTo explore the therapeutic effect of Xuebijing injection （XBJ） on severe acute pancreatitis induced acute lung injury （SAP-ALI） by regulating formyl peptide receptors （FPRs）/nucleotide-binding oligomerization domain-like receptor 3 （NLRP3） inflammatory pathway. MethodsSixty rats were randomly divided into a sham group， a SAP-ALI model group， low-， medium-， and high-dose XBJ groups （4， 8， and 12 mL·kg^-1）， and a positive drug （BOC2， 0.2 mg·kg^-1） group. For the sham group， the pancreas of rats was only gently flipped after laparotomy， and then the abdomen was closed， while for the remaining five groups， SAP-ALI rat models were established by retrograde injection of 5% sodium taurocholate （Na-Tc） via the biliopancreatic duct. XBJ and BOC2 were administered via intraperitoneal injection once daily for 3 d prior to modeling and 0.5 h after modeling. Blood was collected from the abdominal aorta 6 h after the completion of modeling， and the expression of interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α） in plasma was measured by enzyme-linked immunosorbent assay （ELISA）. The amount of ascites was measured， and the dry-wet weight ratios of pancreatic and lung tissue were determined. Pancreatic and lung tissue was taken for hematoxylin-eosin （HE） staining to observe pathological changes and then scored. The protein expression levels of FPR1， FPR2， and NLRP3 in lung tissue were detected by the immunohistochemical method. Western blot was used to detect the expression of FPR1， FPR2， and NLRP3 in lung tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of FPR1， FPR2， and NLRP3 in lung tissue. ResultsCompared with the sham group， the SAP-ALI model group showed significantly decreased dry-wet weight ratio of lung tissue （P<0.01）， serious pathological changes of lung tissue， a significantly increased pathological score （P<0.01）， and significantly increased protein and mRNA expression levels of FPR1， FPR2， and NLRP3 in lung tissue （P<0.01）. After BOC2 intervention， the above detection indicators were significantly reversed （P<0.01）. After treatment with XBJ， the groups of different XBJ doses achieved results consistent with BOC2 intervention. ConclusionXBJ can effectively improve the inflammatory response of the lungs in SAP-ALI rats and reduce damage. The mechanism may be related to inhibiting the expression of FPRs and NLRP3 in lung tissue， which thereby reduces IL-1β and simultaneously antagonize the release of inflammatory factors IL-6 and TNF-α.

Objective To analyze the predictive value of serum levels of procalcitonin(PCT)and cytokines on the prognosis of patients with COVID-19 at admission.Methods From November 2022 to February 2023,patients diagnosed with COVID-19 who were admitted to Beijing Chest Hospital were enrolled.Chemiluminescence was used to detect serum PCT levels,and flow microsphere array was used to detect serum cytokines IL-1β,IL-2,IL-4,IL-5,IL-6,IL-8,IL-10,IL-12p70,IL-17A,IL-17F,IL-22,TNF-α,TNF-β,IFN-γ level.ICU admission,mechanical ventilation and in-hospital death were defined as poor prognosis.After excluding patients with bacterial infection,the relationship between serum PCT and cytokine levels at admission and the prognosis of COVID-19 patients was analyzed.After excluding patients with bacterial infection,the relationship between serum PCT and cytokine levels at admission and the prognosis of COVID-19 patients was analyzed.Results A total of 176 patients with complete data were included,including 134 in the PCT-normal group and 42 in the PCT-elevated group,with a median age of 71.50 years and 71.59%males.Patients in the PCT elevated-group had significantly higher rates of ICU admission(38.41%vs.13.11%,P<0.05),mechanical ventilation(76.92%vs.24.59%,P<0.001)and in-hospital mortality(38.46%vs.6.56%,P<0.001)were significantly higher than those in the PCT-normal group.Serum levels of cytokines IL-6(7.40 pg/mL vs.4.78 pg/mL,P = 0.033 4)and IL-8(10.97 pg/mL vs.5.92 pg/mL,P<0.001)were significantly higher in patients with poor prognosis than in those with good prognosis.The area under the curve for PCT,IL-6,and IL-8 to predict poor prognosis in COVID-19 patients was 0.687,0.660,and 0.746,respectively;sensitivity was 52.78%,55.17%,and 72.41%,respectively;and specificity was 81.58%,74.19%,and 74.19%,respectively,as calculated from the ROC curve.When PCT,IL-6 and IL-8 jointly predict the prognosis of COVID-19 patients,the area under the curve is 0.764,the sensitivity is 70.00%,and the specificity is 80.00%.Conclusion Serum PCT and cytokines IL-6 and IL-8 could be used as predictive markers for poor prognosis in patients with COVID-19.

Objective To evaluate the effectiveness of a hospital logistics operation and management based on the"one center,four platforms"model.Methods In line with the grading evaluation standards for hospital intelligent management,we used technologies such as big data,Internet of Things,Internet Plus,and artificial intelligence to develop a"one center,four platforms"model.This model consisted of a logistics intelligent operation and maintenance management center,an equipment control information platform,a security prevention information platform,an energy consumption monitoring information platform,and an operation management information platform.Results The equipment fault resolution capability,enhanced by the"smart linkage",showed a significant improvement.In 2022,false alarms decreased by 28.63%compared to 2021,with high-level and ordinary-level alarms decreasing by 69.53%and 33.15%,respectively.The"one-stop"logistics service capability was signifi-cantly improved,as indicated by a 2.92%decrease in maintenance frequency in 2022 compared to 2021.This improvement was further reflected in the quality of maintenance and a decrease in the repeated maintenance occurrences.The energy consumption control capability,based on the"data mining",showed a significant improvement,with an 8.71%year-on-year decrease in en-ergy expenditure of ten thousand yuan in 2022 compared to 2021.Conclusion The"one center,four platforms"model can sig-nificantly enhance the efficiency of logistics operation and maintenance management.

Objective To compare seminal carnitine levels between normal males and asthenozoospermic patients,evaluate its correla-tion with progressive motility(PR)of sperm,and observe the effects of exogenous carnitine supplementation on asthenozoospermic pa-tients.Methods Semen samples were collected from 511 normal fertile males and asthenozoospermic patients.Seminal was measured using a fixed-time assay kit and the levels of carnitine were compared between the two groups.The consistency between seminal carni-tine and PR was assessed.Additionally,77 asthenozoospermic patients received L-carnitine(1 g/time,3 times/day,30 days/course).The levels of seminal carnitine and PR alteration pre-and post-treatment were monitored.Results The seminal L-carnitine level in the patients with asthenospermia([194.34±65.41]μmol/L)was significantly lower than that in normal fertile males([405.43±72.12]μmol/L)(P＜0.01).When the seminal L-carnitine level ≥325 μmol/L was set as the threshold,the statistical results showed that Kappa value was 0.81,with a diagnostic coincidence rate of 93.74％.After one course of administration of L-carnitine,the concentra-tion of seminal L-carnitine([356.03±84.87]μmol/L)and PR([32.69±8.35]％)were significantly higher those that before treat-ment([183.61±79.54]μmol/L and[16.56±7.74]％,P＜0.01).Conclusion The seminal carnitine assay kit could be used for ac-curate and high-throughput quantification of clinical samples,facilitating asthenozoospermia diagnosis and therapeutic efficacy evalua-tion.Exogenous carnitine supplementation may elevate seminal carnitine levels and sperm motility in asthenozoospermic patients and po-tentially improve their fertility.

Objective:To explore the expression of long non-coding RNA(lncRNA)ZIM2-AS1 in hepatocellular carcinoma(HCC)and its clinical significance as well as diagnostic value using the data obtained from the Cancer Genome Atlas(TCGA).Meth-ods:The transcriptome sequencing(RNA-seq)data and clinical information of 374 HCC tissues and 50 paired paracancerous tissues were gathered from the TCGA database,then the expression trends of ZIM2-AS1 in HCC and its correlation with clinicopathological features,prognosis,immune cell infiltration,as well as diagnostic value was inspected by bioinformatics analysis using relevant R packages.The expression of ZIM2-AS1 in human normal liver cell line and HCC cell lines was examined by qRT-PCR.Results:The ex-pression of ZIM2-AS1 was highly expressed in HCC tissues(P<0.001),and its expression level was significantly correlated with age,gender,N stage,histologic grade and AFP level(P all<0.05).The overall survival(OS)and disease specific survival(DSS)of patients with high ZIM2-AS1 expression were significantly shorter than those of patients with low expression(P<0.05),and ZIM2-AS1 was an in-dependent risk factor affecting OS.Immune cell infiltration analysis showed that ZIM2-AS1 was closely related to the infiltration of Th2 cells,CD56brightNK cells,follicular helper T cells(Tfh),neutrophils and plasmacytoid dendritic cells(pDC)(|Spearman's r|>0.1,P<0.05)in HCC.ROC curve analysis revealed that the expression level of ZIM2-AS1 possesse potential diagnostic value in HCC,N0 stage,histologic grade G1 and G2,OS and DSS(AUC all>0.50).qRT-PCR results showed that the expression level of ZIM2-AS1 in HCC cell lines was significantly higher than that in human normal liver cells(P all<0.05).Conclusion:The elevated expression of lncRNA ZIM2-AS1 is an independent risk factor for poor prognosis of HCC patient and has potential application value as a biomarker for HCC diagnosis,prognosis as well as tumor immune microenvironment assessment.

Osteoporotic proximal humeral fracture (OPHF) is one of the common osteoporotic fractures in the aged, with an incidence only lower than vertebral compression fracture, hip fracture, and distal radius fracture. OPHF, secondary to osteoporosis and characterized by poor bone quality, comminuted fracture pattern, slow healing, and severely impaired shoulder joint function, poses a big challenge to the current clinical diagnosis and treatment. In the field of diagnosis, treatment, and rehabilitation of OPHF, traditional Chinese and Western medicine have accumulated rich experience and evidence from evidence-based medicine and achieved favorable outcomes. However, there is still a lack of guidance from a relevant consensus as to how to integrate the advantages of the two medical systems and achieve the integrated diagnosis and treatment. To promote the diagnosis and treatment of OPHF with integrated traditional Chinese and Western medicine, relevant experts from Orthopedic Expert Committee of Geriatric Branch of Chinese Association of Gerontology and Geriatrics, Youth Osteoporosis Group of Orthopedic Branch of Chinese Medical Association, Osteoporosis Group of Orthopedic Surgeon Branch of Chinese Medical Doctor Association, and Osteoporosis Committee of Shanghai Association of Integrated Traditional Chinese and Western Medicine have been organized to formulate Expert consensus on the diagnosis and treatment of osteoporotic proximal humeral fracture with integrated traditional Chinese and Western medicine ( version 2024) by searching related literatures and based on the evidences from evidence-based medicine. This consensus consists of 13 recommendations about the diagnosis, treatment and rehabilitation of OPHF with integrated traditional Chinese medicine and Western medicine, aimed at standardizing, systematizing, and personalizing the diagnosis and treatment of OPHF with integrated traditional Chinse and Western medicine to improve the patients ′ function.

Objective:To investigate the current situation of the use of transjugular intrahepatic portosystemic shunt (TIPS) for portal hypertension, which should aid the development of TIPS in China.Methods:The China Portal Hypertension Alliance (CHESS) initiated this study that comprehensively investigated the basic situation of TIPS for portal hypertension in China through network research. The survey included the following: the number of surgical cases, main indications, the development of Early-TIPS, TIPS for portal vein cavernous transformation, collateral circulation embolization, intraoperative portal pressure gradient measurement, commonly used stent types, conventional anticoagulation and time, postoperative follow-up, obstacles, and the application of domestic instruments.Results:According to the survey, a total of 13 527 TIPS operations were carried out in 545 hospitals participating in the survey in 2021, and 94.1% of the hospital had the habit of routine follow-up after TIPS. Most hospitals believed that the main indications of TIPS were the control of acute bleeding (42.6%) and the prevention of rebleeding (40.7%). 48.1% of the teams carried out early or priority TIPS, 53.0% of the teams carried out TIPS for the cavernous transformation of the portal vein, and 81.0% chose routine embolization of collateral circulation during operation. Most of them used coils and biological glue as embolic materials, and 78.5% of the team routinely performed intraoperative portal pressure gradient measurements. In selecting TIPS stents, 57.1% of the hospitals woulel choose Viator-specific stents, 57.2% woulel choose conventional anticoagulation after TIPS, and the duration of anticoagulation was between 3-6 months (55.4%). The limitation of TIPS surgery was mainly due to cost (72.3%) and insufficient understanding of doctors in related departments (77.4%). Most teams accepted the domestic instruments used in TIPS (92.7%).Conclusions:This survey shows that TIPS treatment is an essential part of treating portal hypertension in China. The total number of TIPS cases is far from that of patients with portal hypertension. In the future, it is still necessary to popularize TIPS technology and further standardize surgical indications, routine operations, and instrument application.

Background::Few evidence is available in the early prediction models of behavioral and psychological symptoms of dementia (BPSD) in Alzheimer’s disease (AD). This study aimed to develop and validate a novel genetic-clinical-radiological nomogram for evaluating BPSD in patients with AD and explore its underlying nutritional mechanism.Methods::This retrospective study included 165 patients with AD from the Chinese Imaging, Biomarkers, and Lifestyle (CIBL) cohort between June 1, 2021, and March 31, 2022. Data on demographics, neuropsychological assessments, single-nucleotide polymorphisms of AD risk genes, and regional brain volumes were collected. A multivariate logistic regression model identified BPSD-associated factors, for subsequently constructing a diagnostic nomogram. This nomogram was internally validated through 1000-bootstrap resampling and externally validated using a time-series split based on the CIBL cohort data between June 1, 2022, and February 1, 2023. Area under receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were used to assess the discrimination, calibration, and clinical applicability of the nomogram.Results::Factors independently associated with BPSD were: CETP rs1800775 (odds ratio [OR] = 4.137, 95% confidence interval [CI]: 1.276-13.415, P = 0.018), decreased Mini Nutritional Assessment score (OR = 0.187, 95% CI: 0.086-0.405, P <0.001), increased caregiver burden inventory score (OR = 8.993, 95% CI: 3.830-21.119, P <0.001), and decreased brain stem volume (OR = 0.006, 95% CI: 0.001-0.191, P = 0.004). These variables were incorporated into the nomogram. The area under the ROC curve was 0.925 (95% CI: 0.884-0.967, P <0.001) in the internal validation and 0.791 (95% CI: 0.686-0.895, P <0.001) in the external validation. The calibration plots showed favorable consistency between the prediction of nomogram and actual observations, and the DCA showed that the model was clinically useful in both validations. Conclusion::A novel nomogram was established and validated based on lipid metabolism-related genes, nutritional status, and brain stem volumes, which may allow patients with AD to benefit from early triage and more intensive monitoring of BPSD.Registration::Chictr.org.cn, ChiCTR2100049131.

Objective To explore the effect of long non-coding RNA(lncRNA)microRNA 17-92 cluster host gene(MIR17HG)regulating microRNA(miR)-214-3p/ring finger protein 38(RNF38)signal axis on the malignant biological behavior of liver cancer cells.Methods The cancer tissues and adjacent tissues of 46 patients with liver cancer who underwent surgical resection in our hospital from May 2022 to October 2023 were collected to detect the expression of lncRNA MIR17HG,miR-214-3p and RNF38.HepG2,Bel-7402,SMMC-7721 and HL-7702 cells were cultured in vitro,and the expression of lncRNA MIR17HG,miR-214-3p and RNF38 was compared,Bel-7402 cells were selected for further study,and randomly divided into sh-NC group,sh-MIR17HG group,anti-NC group,anti-miR-214-3p group and Bel-7402 group.The proliferation,apoptosis,invasion and migration of Bel-7402 cells in each group were investigated,the expression of RNF38,caspase-3(caspase-3),B cell lymphoma-2(Bcl-2),matrix metalloproteinase-2(MMP2)and matrix metalloproteinase-9(MMP9)protein was analyzed by western blotting,the relationship between lncRNA MIR17HG and miR-214-3p and the relationship between miR-214-3p and RNF38 were verified by double luciferase.Results The mRNA expression of lncRNA MIR17HG and RNF38 in liver cancer tissues was higher,the mRNA expression of miR-214-3p was lower,and the positive expression rate of RNF38 protein was higher(P＜0.05).The expression of lncRNA MIR17HG mRNA,RNF38 mRNA and RNF38 protein in SMMC-7721,HepG2 and Bel-7402 cells was higher than that in HL-7702 cells,and the expression of miR-214-3p mRNA was lower than that in HL-7702 cells(P＜0.05).Compared with Bel-7402 group and sh-NC group,the OD450nm value,the number of cloned cells,the number of invasive cells,the number of migrated cells and the expression of RNF38,MMP2,Bcl-2 and MMP9 in sh-MIR17HG group decreased,while the apoptosis rate and the expression of caspase-3 increased(P＜0.05).Compared with sh-MIR17HG group and anti-NC group,the OD450nm value,the number of cloned cells,the number of invasive cells,the number of migrated cells and the expression of RNF38,MMP2,Bcl-2 and MMP9 in anti-miR-214-3p group increased,while the apoptosis rate and the expression of caspase-3 decreased(P＜0.05).LncRNA MIR17HG and miR-214-3p,and miR-214-3p and RNF38 have targeted relationships respectively.The luciferase activity in miR-214-3p+WT-MIR17HG group was lower than that in miR-NC+WT-MIR17HG group(P＜0.05),and the luciferase activity in miR-214-3p+WT-RNF38 group was lower than that in miR-NC+WT-RNF38 group(P＜0.05).Conclusion LncRNA MIR17HG may promote the malignant biological behavior of liver cancer cells by regulating the miR-214-3p/RNF38 axis.

Deep vein thrombosis(DVT)is a common peripheral vascular disease in clinical practice.The lack of precise and efficient early diagnostic techniques renders it susceptible to being overlooked or misdiagnosed,and therefore,identifying trustworthy biomarkers is a major issue that has to be resolved.In this study,the endogenous metabolites in the urine of DVT rats were screened by metabolomics technology based on gas chromatograph-mass spectrometry(GC-MS)and the characteristic metabolites were identified by multiple feature selection algorithms and multivariate statistical analysis,for the development of a machine learning-based diagnostic model for DVT.The urine samples in metabolic cage in the thrombus development phase(between 48 and 72 h)of rats were collected,which was used as the models for inferior vena cava ligation.The metabolic profiles of the control group and DVT were obtained using the GC-MS method.A total of 176 kinds of endogenous metabolites were identified in rat urine through comparison with the FiehnLib database,26 kinds of differential metabolites associated with DVT were screened through a combination of the Mann-Whitney U test and orthogonal partial least squares discriminant analysis(OPLS-DA),and 13 kinds of significant metabolites strongly correlated with DVT were further evaluated in conjunction with various machine learning feature selection techniques.For DVT diagnosis,machine learning models such as Gaussian Naive Bayes(GNB),support vector machine(SVM),logistic regression(LR),and linear discriminant analysis(LDA)were developed.The diagnostic model constructed using 13 kinds of key metabolites demonstrated excellent accuracy and stability,and surpassed the predictive performance of the models utilizing 176 kinds of metabolites and 26 kinds of differential metabolites,as evidenced by examination and comparison of each model's efficacy.The study showed that the integration of multiple feature selection algorithms for analyzing metabolite information in DVT rat urine was capable of effectively identifying reliable potential markers of DVT.Furthermore,the developed machine learning model offered a novel technical approach for the automated diagnosis of DVT.