Suhuang Zhike Capsules are widely used in clinical practice for the treatment of respiratory diseases and have been included in Medicine Catalogue for National Basic Medical Insurance, Work Injury Insurance, and Maternity Insurance and National Essential Medicines List. However, problems remain, such as unclear definitions of treatment courses and unidentified contraindications for certain populations. Therefore, this consensus was developed collaboratively by clinical experts in traditional Chinese medicine(TCM) related to pulmonary diseases, respiratory, and critical care medicine, as well as methodology and pharmacy experts, adhering strictly to the consensus development procedures established by the China Association of Chinese Medicine for clinical application of Chinese patent medicines, with the aim to guide the correct clinical use of Suhuang Zhike Capsules for the treatment of cough variant asthma, post-infectious cough, and other respiratory diseases. This consensus employed questionnaire surveys and expert interviews to identify clinical concerns based on the PICOS principle and conduct evidence evaluation and GRADE grading. Utilizing nominal group techniques and GRADE networking methods, it resulted in 17 recommendations and consensus suggestions. The consensus further clarifies the indications, TCM syndromes, usage, and clinical safety of Suhuang Zhike Capsules in the treatment of cough variant asthma and post-infectious cough, aiming to promote standardized medication use and facilitate the rational clinical application of Suhuang Zhike Capsules.
Humans ; Drugs, Chinese Herbal/administration & dosage* ; Consensus ; Capsules ; Respiratory Tract Diseases/drug therapy* ; Medicine, Chinese Traditional

Objective To develop a prediction tool for post-endoscopic retrograde cholangiopancreatography(ER-CP)early biliary tract infection(PEEBI)in patients with choledocholithiasis,and assist clinical decision-making be-fore ERCP and early personalized intervention after ERCP.Methods An observational bidirectional cohort study was adopted to select inpatients with choledocholithiasis who underwent ERCP in a hospital.Directed acyclic graph(DAGs)and the least absolute shrinkage and selection operator(LASSO)were used to predict PEEBI based on lo-gistic regression,and the models were compared and validated internally and externally.Results From January 1,2020 to September 30,2023,a total of 2 121 patients with choledocholithiasis underwent ERCP were enrolled,of whom 77(3.6％)developed PEEBI,mostly in the first 2 days after surgery(66.2％).The major influencing fac-tors for PEEBI were non-iatrogenic patient-related factors,namely diabetes mellitus(OR=2.43,95％CI:1.14-4.85),bile duct malignancy(OR=3.95,95％CI:1.74-8.31)and duodenal papillary diverticulum(OR=4.39,95％CI:1.86-9.52).Compared with the LASSO model,the DAGs model showed higher ability(3.0％)in com-prehensive discrimination(P=0.007),as well as good differentiation performance(D=0.133,P=0.894)and cal-ibration performance(x2=5.499,P=0.703)in external validation.Conclusion The DAGs model constructed in this study has good predictive performance.With the help of this tool,targeted early preventive measures in clinical practice can be taken to reduce the occurrence of PEEBI.

Objective:To analyze and compare the difference of gene expression profiles in normal colon tissues,colon adenoma and carcinoma tissues by RNA sequencing technology,and re-veal the key genes and potential mechanisms in the development from colon adenoma to carcinoma.Methods:RNA sequencing analysis was carried out on normal colon tissues,colon adenomas and carcinoma tissues of the same patient,and differential genes that were significantly expressed in colon cancer and not significantly expressed in adenoma tissues were obtained,and the GO and KEGG function enrichment analysis was performed.Results:There are 4307 differential genes that are significantly expressed in colon cancer and not significantly expressed in adenoma.The GO and KEGG function enrichment analysis of these genes found that they were mainly enriched in bi-ological processes such as biological process regulation,cell process regulation,protein binding and cancer pathway,PI3K Akt signal pathway MAPK signal pathway.Conclusion:There are many genes involved in the development process from colon adenoma to carcinoma.These genes have the potential to become therapeutic targets for colorectal cancer,providing a new direction for fol-low-up research on colorectal cancer.

Objective:To investigate the molecular mechanism and distribution characteristics of RhD negative phenotypes in Han population of blood donors in Wuhu city.Methods:A total of 210 RhD-samples from August 2021 to August 2022 were screened by serological test and collected from Wuhu Central Blood Station for the voluntary blood donor population.Exons 1 and 10 of the RHD gene were amplificated by PCR to determine whether the samples had the RHD gene.Exons 1-10 of the RHD gene were amplificated by PCR and zygosity analysis were performed in 82 samples containing D gene,and Sanger sequencing was performed on 55 samples containing all RHD exons to determine the genotype.Results:Among 210 RhD-specimens,128 cases(60.38％)had RHD gene deletion.27 cases had partial exons of RHD,including 2 cases with RHD*DVI.3/RHD*01N.01,24 cases with RHD*01N.04/RHD*01N.01,and 1 case with RHD-CE(2-10)/RHD*01N.01.55 cases had retained all of 10 exons,including 4 cases with RHD*01/RHD*01N.01,6 cases with RHD*15/RHD*01N.01,1 case with RHD*01W.72/RHD*01N.01,1 case with RHD*15/RHD*01EL.01,39 cases with RHD*01EL.01/RHD*01N.01,and the remaining 4 cases were determined to have no RHD gene deletion by zygosity analysis and sequencing showed the presence of 1227G＞A mutation loci.Conclusion:There is polymorphism in the molecular mechanism of RhD-D gene in Wuhu blood donor population,among which RHD*01EL.01 and RHD*15 are the main variants in this region.The results of this study provide a theoretical basis for RhD blood group identification and clinical blood transfusion in this region.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Humans ; Osteotomy ; Clavicle/surgery*

As mentioned in this paper, the curriculum team of biotechnological pharmaceutics in Binzhou University reoriented the curriculum objective based on the educational policy: fostering virtue through education and consolidating fundamental spirit and soul. Additionally, the team drew on cutting-edge scientific and technological developments, social hotspots, national spirit, innovative thinking, dedication spirit and other elements, conducted in-depth study on the ideological and political elements of the subject and organically integrated them with the contents such as genetic engineering, cellular engineering, fermentation engineering, enzyme engineering, protein engineering, and established online and offline ideological and political database. Furthermore, with the aid of teaching apps like ‘Rain Classroom’, the teaching models include lecture, case-based teaching, group discussion, and blended teaching for the subject. In the meantime, the ideological and political educational requirements were integrated into the curriculum evaluation system. Taking the genetic engineering pharmaceutics as an example, reform and practice for the ideological and political education for the undergraduate subject, biotechnological pharmaceutics, was applied. This paper expatiated the teaching practice of the ideological and political education, and reviewed the outcomes of the curriculum reform over these years in an effort to formulate a set of all-round programs for the reform and practice of the ideological and political education that can be replicated and improved continuously. This paper aims not only in developing high-caliber biomedical talents with a strong sense of patriotism and social responsibility, but also in providing a reference for the teaching reform of related subjects.

OBJECTIVE: To investigate the distribution and antimicrobial susceptibility of causative microorganisms recovered from patients with intra-abdominal infections (IAIs). METHODS: A total of 2,926 bacterial and fungal strains were identified in samples collected from 1,679 patients with IAIs at the Peking Union Medical College Hospital between 2011 and 2021. Pathogenic bacteria and fungi were identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Antimicrobial susceptibility testing (AST) was performed using the VITEK 2 compact system and the Kirby-Bauer method. AST results were interpreted based on the M100-Ed31 clinical breakpoints of the Clinical and Laboratory Standards Institute. RESULTS: Of the 2,926 strains identified, 49.2%, 40.8%, and 9.5% were gram-negative bacteria, gram-positive bacteria, and fungi, respectively. Escherichia coli was the most prevalent pathogen in intensive care unit (ICU) and non-ICU patients; however, a significant decrease was observed in the isolation of E. coli between 2011 and 2021. Specifically, significant decreases were observed between 2011 and 2021 in the levels of extended-spectrum β-lactamase (ESBL)-producing E. coli (from 76.9% to 14.3%) and Klebsiella pneumoniae (from 45.8% to 4.8%). Polymicrobial infections, particularly those involving co-infection with gram-positive and gram-negative bacteria, were commonly observed in IAI patients. Moreover, Candida albicans was more commonly isolated from hospital-associated IAI samples, while Staphylococcus epidermidis had a higher ratio in community-associated IAIs. Additionally, AST results revealed that most antimicrobial agents performed better in non-ESBL-producers than in ESBL-producers, while the overall resistance rates (56.9%-76.8%) of Acinetobacter baumanmii were higher against all antimicrobial agents than those of other common gram-negative bacteria. Indeed, Enterococcus faecium, Enterococcus faecalis, S. epidermidis, and S. aureus were consistently found to be susceptible to vancomycin, teicoplanin, and linezolid. Similarly, C. albicans exhibited high susceptibility to all the tested antifungal drugs. CONCLUSION The distribution and antimicrobial susceptibility of the causative microorganisms from patients with IAIs were altered between 2011 and 2021. This finding is valuable for the implementation of evidence-based antimicrobial therapy and provides guidance for the control of hospital infections.
Humans ; Anti-Bacterial Agents ; Escherichia coli ; Gram-Negative Bacteria ; Gram-Positive Bacteria ; Retrospective Studies ; Staphylococcus aureus ; Intraabdominal Infections/epidemiology* ; Candida albicans ; Coinfection

Aim To explore the role and mechanism of nuclear receptor subfamily 1,group D,member 1(NR1D1)in the proliferation and migration of mouse adventitial fibroblasts(AFs). Methods Primary AFs isolated from C57BL/6J mice were cultured. Adenovirus carrying Nr1d1 gene was used to overexpress NR1D1 in AFs. The expression of β-catenin was restored by SKL2001. Proliferating cell nuclear antigen(Ki-67)immunofluorescence staining and CCK-8 staining were used to determine cell proliferation,and scratch test was used to determine cell migration. qPCR was used to determine the mRNA level of Nr1d1. Western blot was used to determine the protein levels of NR1D1 and β-catenin. To investigate the role of NR1D1 in intimal hyperplasia,20 male wild type C57BL/6J mice were randomly divided into sham group,carotid artery endothelial injury,sham+SR9009(NR1D1 agonist)group and carotid artery endothelial injury+SR9009(n=5 in each group). They were treated with DMSO or SR9009(100 mg·kg-1·d-1)via intraperitoneal injection for 14 days after operation,respectively. The degree of carotid intimal hyperplasia was measured by HE staining 28 days after operation. Results NR1D1 overexpression significantly reduced the percentage of Ki-67-positive cells(P<0.01),total cell number(P<0.01)and slowed down the rate of wound-healing(P<0.01). NR1D1 overexpression significantly inhibited the expression of β-catenin(P<0.05). After the expression of β-catenin was restored by SKL2001,the inhibitory effects of NR1D1 overexpression on the proliferation and migration of AFs were abolished(P<0.01). Enhanced activity of NR1D1 significantly ameliorated intimal hyperplasia after carotid endothelial injury(P<0.01). Conclusion NR1D1 may inhibit the proliferation and migration of AFs via suppressing the expression of β-catenin.

Objective: To describe the distribution characteristics of hypertension among adult twins in the Chinese National Twin Registry (CNTR) and to provide clues for exploring the role of genetic and environmental factors on hypertension. Methods: A total of 69 220 (34 610 pairs) of twins aged 18 and above with hypertension information were selected from CNTR registered from 2010 to 2018. Random effect models were used to describe the population and regional distribution of hypertension in twins. To estimate the heritability, the concordance rates of hypertension were calculated and compared between monozygotic twins (MZ) and dizygotic twins (DZ). Results: The age of all participants was (34.1±12.4) years. The overall self-reported prevalence of hypertension was 3.8%(2 610/69 220). Twin pairs who were older, living in urban areas, married, overweight or obese, current smokers or ex-smokers, and current drinkers or abstainers had a higher self-reported prevalence of hypertension (P<0.05). Analysis within the same-sex twin pairs found that the concordance rate of hypertension was 43.2% in MZ and 27.0% in DZ, and the difference was statistically significant (P<0.001). The heritability of hypertension was 22.1% (95%CI: 16.3%- 28.0%). Stratified by gender, age, and region, the concordance rate of hypertension in MZ was still higher than that in DZ. The heritability of hypertension was higher in female participants. Conclusions: There were differences in the distribution of hypertension among twins with different demographic and regional characteristics. It is indicated that genetic factors play a crucial role in hypertension in different genders, ages, and regions, while the magnitude of genetic effects may vary.
Adult ; Female ; Humans ; Male ; Alcohol Drinking ; Diseases in Twins/genetics* ; Hypertension/genetics* ; Twins, Dizygotic/genetics* ; Twins, Monozygotic/genetics*