Objective To establish the fingerprints and predict the quality markers of Sanqi Shenfeng oral liquid based on fingerprint and network pharmacology.Methods The fingerprints of 12 batches of Sanqi Shenfeng oral liquid were established by using HPLC,and their peaks were identified and assigned.The candidate components were selected by multiple statistical analysis methods such as similarity evaluation,hierarchical cluster analysis,principal component analysis and orthogonal partial least squares discrimination analysis(OPLS-DA).The"component-target-pathway"network diagram was constructed by network pharmacology,and the quality markers of Sanqi Shenfeng oral liquid were predicted.Results The 13 common peaks were identified from the established fingerprint.Compared with the reference material,eight common peaks were identified as 3(tetrahydroxystilbene glucoside),5(sodium benzoate),6(lobetyolin),7(notoginsenoside Ri),9(ginsenoside Rgi),10(ginsenoside Re),12(10-hydroxy-2-decenoic acid),13(ginsenoside Rb1).The similarity of 12 batches of Sanqi Shenfeng oral liquid samples was higher than 0.997,and 12 batches of samples were grouped into two categories.OPLS-DA analysis showed that peaks 2,3,4,7,9,10,11,12 were the main signature components affecting the quality of Sanqi Shenfeng oral liquid.Network pharmacology predicted that lobetyolin,notoginsenoside R1,ginsenoside Rg1,ginsenoside Rb1,ginsenoside Re and 10-hydroxy-2-decenoic acid were potential Q-markers of Sanqi Shenfeng oral liquid.The traditional functions are performed through STAT3/AKT1-Drp1,HIF-1 and PI3K-AKT signaling pathway.Conclusion The established fingerprint has good reproducibility,stability and feasibility.The six components have great influence on the quality of Sanqi Shenfeng oral liquid,which are transferable and traceable,and are closely related to the efficacy.They can be used as potential quality markers to provide a scientific basis for the quality control and evaluation of Sanqi Shenfeng oral liquid.

Objective To construct a nomogram prediction model for predicting hemoglobin A1c(HbA1c)failure in type 2 diabetes mellitus(T2DM)patients.Methods A total of 936 inpatients with T2DM admitted to the Department of Endocrinology of the Affiliated Hospital of Shandong Second Medical University from January 2021 to January 2022 were selected as the research objects and divided into the non-standard group(HbA1c≥7%,n=801)and the standard group(HbA1c<7%,n=135).Univariate analysis was used to screen the related factors of HbA1c failure.Logistic regression multivariate model was used to analyze the influencing factors of HbA1c failure in T2DM patients.The R language was used to construct a nomogram,and the area under the receiver operating characteristic(ROC)curve(AUC)was used to evaluate the predictive ability of the model.The C-index and Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Results There were statistically significant differences in triglyceride(TG),low-density lipoprotein cholesterol,direct bilirubin,urinary albumin/creatinine ratio(UACR),self-monitoring of blood glucose(SMBG),meat and vegetable pairing,hot pot,whole grain and animal viscera consumption between the two groups(P<0.05).Logistic regression analysis showed that TG(OR 1.699,95%CI 1.298～2.222),UACR(OR 1.003,95%CI 1.001～1.005),SMGB(OR 0.480,95%CI 0.313～0.735),more meat and less vegetables(OR 1.432,95%CI 1.062～1.931)were the influencing factors of HbA1c failure.The AUC of the nomogram prediction model based on the influencing factors was 0.711,with C-index 0.710(95%CI 0.663～0.758)and good calibration(χ2=11.185,P=0.191).Conclusions The nomogram prediction model for HbA1c failure in T2DM patients established based on TG,UACR,SMGB,meat and vegetarian mix has good discrimination and calibration,which can provide certain reference value for warning of poor blood glucose control.

Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

Objective To establish the fingerprints and predict the quality markers of Sanqi Shenfeng oral liquid based on fingerprint and network pharmacology.Methods The fingerprints of 12 batches of Sanqi Shenfeng oral liquid were established by using HPLC,and their peaks were identified and assigned.The candidate components were selected by multiple statistical analysis methods such as similarity evaluation,hierarchical cluster analysis,principal component analysis and orthogonal partial least squares discrimination analysis(OPLS-DA).The"component-target-pathway"network diagram was constructed by network pharmacology,and the quality markers of Sanqi Shenfeng oral liquid were predicted.Results The 13 common peaks were identified from the established fingerprint.Compared with the reference material,eight common peaks were identified as 3(tetrahydroxystilbene glucoside),5(sodium benzoate),6(lobetyolin),7(notoginsenoside Ri),9(ginsenoside Rgi),10(ginsenoside Re),12(10-hydroxy-2-decenoic acid),13(ginsenoside Rb1).The similarity of 12 batches of Sanqi Shenfeng oral liquid samples was higher than 0.997,and 12 batches of samples were grouped into two categories.OPLS-DA analysis showed that peaks 2,3,4,7,9,10,11,12 were the main signature components affecting the quality of Sanqi Shenfeng oral liquid.Network pharmacology predicted that lobetyolin,notoginsenoside R1,ginsenoside Rg1,ginsenoside Rb1,ginsenoside Re and 10-hydroxy-2-decenoic acid were potential Q-markers of Sanqi Shenfeng oral liquid.The traditional functions are performed through STAT3/AKT1-Drp1,HIF-1 and PI3K-AKT signaling pathway.Conclusion The established fingerprint has good reproducibility,stability and feasibility.The six components have great influence on the quality of Sanqi Shenfeng oral liquid,which are transferable and traceable,and are closely related to the efficacy.They can be used as potential quality markers to provide a scientific basis for the quality control and evaluation of Sanqi Shenfeng oral liquid.

OBJECTIVE: To explore the correlation between chromosome 8 open reading frame 76 (C8orf76) and cyclin-dependent kinase 4 (CDK4) and the potential predictive effect of C8orf76 and CDK4 on the prognosis of colorectal cancer (CRC). METHODS: We constructed a protein-protein interaction network of C8orf76-related genes and analyzed the prognostic signatures of C8orf76 and CDK4. Clinicopathological features of C8orf76 and CDK4 were visualized using a nomogram. RESULTS: C8orf76 and CDK4 levels were positively correlated in two independent human CRC cohorts ( n = 83 and n = 597). A consistent positive correlation was observed between C8orf76 and CDK4 expression in the CRC cell lines. The nomogram included prognostic genes (C8orf76 and CDK4) and pathological N and M stages. The concordance index (C-index) in our cohort was 0.776, which suggests that the ability of the indicators to predict the overall survival of patients with CRC in our cohort was strong. CONCLUSION We found that C8orf76 was positively correlated with CDK4 in both the cohorts as well as in CRC cell lines. Therefore, C8orf76 and CDK4 can be used as potential biomarkers to predict the prognosis of CRC.
Humans ; Colorectal Neoplasms/diagnosis* ; Cyclin-Dependent Kinase 4/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/genetics* ; Aged ; Cell Line, Tumor ; Gene Expression Regulation, Neoplastic

Objective To explore the regulatory effects of cytokines interleukin(IL)-1β,IL-6,tumor necrosis factor alpha(TNF-ɑ),gamma interferon(IFN-γ),granulocyte colony-stimulating factor(G-CSF),and granulocyte-macrophage colony-stimulating factor(GM-CSF)on spontaneous pyroptosis in neutrophils.Methods Neutrophils isolated from mouse bone marrow by density-gradient centrifugation were cultured in vitro for 20 h with or without 10,50 or 100 ng/mL IL-1β,IL-6,IFN-γ,G-CSF or GM-CSF,or for 12 h with or without 1,10 or 50 ng/mL TNF-α.After incubation,cells were stained with annexin Ⅴ(AV)/propidium iodide(PI),and the proportions and absolute number of neutrophils undergoing different forms of cell death were determined by fluorescence microscopy combined with manual counting.Pyroptotic neutrophils were identified by cell morphology in conjunction with AV/PI staining.Flow cytometry with counting beads was employed to measure the proportions and number of AV/PI-stained Ly6g⁺neutrophils in different forms of cell death.Western blotting was employed to assess the cleavage and activation levels of cysteinyl aspartate-specific proteinase-3(caspase-3)and gasdermin E(GSDME).Results Treatment with IL-1β or IL-6 had no significant effect on the proportion or number of neutrophils undergoing spontaneous pyroptosis.After 12 h of treatment with TNF-α at 1,10,and 50 ng/mL,the proportions of pyroptotic neutrophils were(14.79±0.45)%,(19.99±3.02)%,and(20.66±1.99)%,respectively,higher than that[(10.22±1.12)%]in the untreated control(P=0.024,P<0.001,and P<0.001,respectively).Treatment with 10,50,and 100 ng/mL IFN-γ for 20 h reduced the proportion of pyroptotic neutrophils from(17.43±1.88)%to 12.00%(all P<0.001).G-CSF at 10,50,and 100 ng/mL reduced the proportion of pyroptotic cells to around 6.00%and greatly inhibited the cleavage of both caspase-3 and GSDME.After 20 h of treatment with 10,50,and 100 ng/mL GM-CSF,the proportions of pyroptotic neutrophils decreased to(7.52±0.53)%,(5.27±2.30)%,and(0.64±1.11)%,respectively.Conclusions Neither IL-1β nor IL-6 affects GSDME-mediated spontaneous pyroptosis in neutrophils.TNF-ɑ induces spontaneous pyroptosis in neutrophils,whereas IFN-γ,G-CSF,and GM-CSF demonstrate inhibitory effects.
Pyroptosis/drug effects* ; Animals ; Neutrophils/cytology* ; Mice ; Cytokines/pharmacology* ; Interleukin-1beta/pharmacology* ; Granulocyte-Macrophage Colony-Stimulating Factor/pharmacology* ; Cells, Cultured ; Granulocyte Colony-Stimulating Factor/pharmacology* ; Tumor Necrosis Factor-alpha/pharmacology* ; Interferon-gamma/pharmacology* ; Interleukin-6/pharmacology*

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

Acute pancreatitis (AP) is a life-threatening gastrointestinal disorder for which no effective pharmacological treatments are currently available. One of the pharmacological targets that merits further research is the neurokinin 1 receptor (NK1R), which is found on pancreatic acinar cells and responds to the neuropeptide substance P (SP) that participates in AP. Although a few studies have stated the involvement of SP/NK1R in neurogenic inflammation in AP development, the regulatory mechanism remains unclear. In this study, we found that following activation of NK1R by SP, β-arrestin1, a scaffold protein of NK1R, down-regulated transcription of Adss, Adsl, and Ampd in the purine nucleotide cycle, thereby inhibiting mitochondrial function through fumarate depletion. Interestingly, we identified magnolol as a new and natural NK1R inhibitor with a non-nitrogenous biphenyl core structure. It exhibited a beneficial effect on AP by restoring purine nucleotide cycle metabolic enzymes and fumarate levels. Our study not only provides new therapeutic strategies, leading compounds, and drug translation possibilities for AP, but also provides important clues for the study of downstream mechanisms driven by SP in other diseases.

Objective To construct a nomogram prediction model for predicting hemoglobin A1c(HbA1c)failure in type 2 diabetes mellitus(T2DM)patients.Methods A total of 936 inpatients with T2DM admitted to the Department of Endocrinology of the Affiliated Hospital of Shandong Second Medical University from January 2021 to January 2022 were selected as the research objects and divided into the non-standard group(HbA1c≥7%,n=801)and the standard group(HbA1c<7%,n=135).Univariate analysis was used to screen the related factors of HbA1c failure.Logistic regression multivariate model was used to analyze the influencing factors of HbA1c failure in T2DM patients.The R language was used to construct a nomogram,and the area under the receiver operating characteristic(ROC)curve(AUC)was used to evaluate the predictive ability of the model.The C-index and Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Results There were statistically significant differences in triglyceride(TG),low-density lipoprotein cholesterol,direct bilirubin,urinary albumin/creatinine ratio(UACR),self-monitoring of blood glucose(SMBG),meat and vegetable pairing,hot pot,whole grain and animal viscera consumption between the two groups(P<0.05).Logistic regression analysis showed that TG(OR 1.699,95%CI 1.298～2.222),UACR(OR 1.003,95%CI 1.001～1.005),SMGB(OR 0.480,95%CI 0.313～0.735),more meat and less vegetables(OR 1.432,95%CI 1.062～1.931)were the influencing factors of HbA1c failure.The AUC of the nomogram prediction model based on the influencing factors was 0.711,with C-index 0.710(95%CI 0.663～0.758)and good calibration(χ2=11.185,P=0.191).Conclusions The nomogram prediction model for HbA1c failure in T2DM patients established based on TG,UACR,SMGB,meat and vegetarian mix has good discrimination and calibration,which can provide certain reference value for warning of poor blood glucose control.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0％ were gram-positive and 71.0％ were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6％,81.9％ and 78.5％,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9％ of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4％ of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1％ in the isolates from children and and 95.9％ in the isolates from adults.The resistance rate to carbapenems was lower than 15.0％ for most Enterobacterales species except for Klebsiella,22.5％ and 23.6％ of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6％ to 10.0％.The resistance rate to imipenem and meropenem was 21.9％ and 17.4％ for Pseudomonas aeruginosa,respectively,and 67.5％ and 68.1％ for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.