OBJECTIVE To enhance the training quality of anticoagulation specialty clinical pharmacists， address the resource limitations of a single training base， and promote homogenization of training quality. METHODS A multi-base joint training system for anticoagulation specialty clinical pharmacists in the Beijing area was established. A mixed research method was employed， collecting data through performance comparisons， questionnaires， and qualitative interviews to compare the differences between the joint training model （experimental group， n＝16） and traditional teaching model （the control group， n＝17）. RESULTS The established joint training system encompassed a unified joint training teaching plan， the formation of a joint training teaching team， the establishment of joint theoretical teaching courses， the implementation of joint case discussions and literature presentations， as well as strengthening the assessment throughout the joint training process. Compared to the control group [theoretical assessment of （76.44±3.66） points， case assessment of （84.31±3.27） points]， the experimental group students achieved higher scores in theoretical assessment （[ 79.85±4.64） points] and case assessment （[ 88.70±5.51） points] （P＜0.05）. Through questionnaires and qualitative interviews， the trainees in experimental group were highly satisfied with the joint training model in terms of theoretical learning， communication skills， and teaching interaction. CONCLUSIONS The multi-base collaborative training system for anticoagulation specialty clinical pharmacists can integrate advantageous resources and significantly enhance the training effectiveness of anticoagulation specialty clinical pharmacists， offering value for wider promotion.

Objective To analyze the prescription patterns of Professor Huang Feng,a nationally renowned traditional Chinese medicine(TCM)practitioner,in treating osteomyelitis using data mining methods.Methods Prescription data from effective medical records of osteomyelitis treated by Professor Huang Feng between January 2018 and December 2022 were collected and screened.Microsoft Excel,SPSS Modeler 18.0,and SPSS Statistics 25 were used to analyze the frequency and the distribution of properties,flavors,and meridian tropism of prescribed medications,along with association rule analysis and cluster analysis of high-frequency drugs.Results A total of 137 prescriptions involving 86 Chinese medicinals were included.Eighteen high-frequency medicinals(frequency＞30 times)were identified,namely Glycyrrhizae Radix et Rhizoma,Astragali Radix,Coicis Semen,Angelicae Sinensis Radix,Smilacis Glabrae Rhizoma,Achyranthis Bidentatae Radix,Bletillae Rhizoma,Rehmanniae Radix,Paeoniae Radix Alba,Dendrobii Caulis,Polygalae Radix,Lablab Semen Album,Corydalis Rhizoma,Angelicae Dahuricae Radix,Drynariae Rhizoma,Sanguisorbae Radix,Poria,and Mume Fructus.Most of the prescribed medicinals were neutral in nature,sweet,bitter,and pungent in flavor,and had the meridian tropism of liver,spleen,and lung meridians.Association rule analysis yielded 67 drug association rules,and the high-support combinations were the drug combinations of Astragali Radix respectively with Coicis Semen,Angelicae Sinensis Radix,Smilacis Glabrae Rhizoma and Achyranthis Bidentatae Radix,reflecting the compatibility principles of supplementing and invigorating qi-blood,activating blood circulation to resolve stasis,and draining dampness to remove toxins.Cluster analysis revealed three core clusters:Cluster 1 consisted of Glycyrrhizae Radix et Rhizoma,Astragali Radix,Coicis Semen,Smilacis Glabrae Rhizoma,Angelicae Sinensis Radix,Bletillae Rhizoma,Paeoniae Radix Alba,Angelicae Dahuricae Radix,Mume Fructus,Polygalae Radix and Sanguisorbae Radix;Cluster 2 consisted of Rehmanniae Radix and Dendrobii Caulis;Cluster 3 consisted of Achyranthis Bidentatae Radix,Lablab Semen Album,Corydalis Rhizoma and Poria.Conclusion For the treatment of osteomyelitis,Professor Huang Feng follows the principle of combining supporting healthy qi with eliminating pathogens,focuses on clearing damp-heat and pathogenic toxins accompanied by activating blood circulation to resolve stasis,and lays stress on adaptation to local condition and activating spleen-stomach to reinforce vital qi.

Objective To investigate the effects of Caenorhabditis elegans(C.elegans)endogenous U6 promoters on dpy-10 gene editing efficiency.Methods We screened endogenous U6 small nuclear RNA(snRNA)genes of C.elegans from the WormBase database and constructed 14 editing plasmids targeting dpy-10 by replacing the U6r07e5.16 promoter in the pSX524 plasmid(Peft-3::cas9::tbb-2 terminator::U6 r07e5.16::dpy-10 sgRNA)through molecular cloning.Gene editing was performed in wild-type C.elegans using a standardized microinjection protocol.Gene editing efficiency and the high-efficiency gene editing index were quantified based on the screening of dpy-10 mutant phenotypes in the F1 progeny.Results A total of 15 U6 snRNA genes(r07e5.16,f35c11.9,t20d3.13,k09b11.15,k09b11.16,w05b2.8,c28a5.7,f54c8.9,k09b11.11,k09b11.12,k09b11.14,t20d3.12,f54c8.8,f54c8.10,and k09b11.13)were identified from the WormBase database.Based on the editing efficiency and high-efficiency gene editing index,the activity of these promoters was evaluated,and 4 U6 promoters(w05b2.8,c28a5.7,f54c8.9,and k09b11.11)were found to have significantly enhanced gene editing success rates,outperforming other promoters,including U6r07e5.16 and U6k09b11.12,which are commonly used in the C.elegans research community.Notably,the gRNAF+E scaffold did not show superior editing efficiency over the gRNA scaffold when paired with the optimal U6w05b2.8 promoter.Conclusion In this study,U6 promoters that significantly improve gene editing efficiency in C.elegans are identified and the critical role of promoter optimization in CRISPR-Cas9 systems is highlighted.These findings provide a valuable foundation for improving genome editing strategies and offer new ideas for optimizing the CRISPR technology applied in nematode research.

Objective To optimize the real-time quantitative polymerase chain reaction(RT-qPCR)data analysis process through mathematical principles by replacing the biased 2-??CT method with a more rigorous 2-CT method,thereby improving the accuracy of gene expression quantification analysis.Methods Essentially,the CT value serves as the exponent in a base-2 exponential equation within the logic of comparative CT method.In the traditional 2-??CT method,the arithmetic means of raw CT and ΔCT values are directly calculated and the exponential nature of CT data is overlooked,which may introduce systematic bias to the calculation results.We propose a new method,entitled the 2-CT method,in which all calculations are based on the transformation of CT values into 2-CT.This includes computing the relative initial expression levels of target and reference genes within each sample,the relative abundance of the target gene,and its fold change across groups.Statistical comparisons are then performed based on fold change values.By strictly adhering to the exponential nature of of CT values,the biases introduced by arithmetic averaging at the CT or ΔCT level are avoided.We applied this method to multiple RT-qPCR datasets to evaluate the differences between the traditional 2-??CT and the proposed 2-CT methods in gene expression quantification,as well as the effect of the differences.Results In the original dataset from LIVAK and SCHMITTGEN,the two methods produced similar results.However,in the cadmium exposure experiment,findings from the 2-??CT method indicated that 8-hour cadmium exposure caused an increase of irg-6 gene expression in Caenorhabditis elegans from 1.314-fold to 7.125-fold(P=0.000 2).In contrast,findings from the 2-CT method showed a fold change from 1.0 to 4.124(P=0.001 5),a 70%difference between the two methods.Conclusion The2-CT method provides a mathematically more rigorous approach that more accurately reflects gene expression changes,particularly in experiments with high CT variability.It offers a more reliable computational paradigm for quantitative gene expression analysis.

Bone Transplantation/adverse effects* ; Transplantation, Autologous/adverse effects*

BACKGROUND:Traditional Chinese medicine compound prescription has a long history in the treatment of primary osteoporosis,and the curative effect is definite,but the medication rule and mechanism are not clear. OBJECTIVE:Using the methodology of data mining and network pharmacology,to explore and verify the law of drug use and molecular mechanism of modern traditional Chinese medicine in the treatment of primary osteoporosis. METHODS:The relevant documents included in CNKI,WanFang,VIP and PubMed were used as data sources,and the relevant data were statistically counted and extracted by Microsoft EXCEL2019,IBMSPSS25.0 and other software.The high-frequency drugs obtained from the data statistics were analyzed by association rules analysis and cluster analysis,and the core drug combination of traditional Chinese medicine compound prescription in the treatment of primary osteoporosis was obtained by combining the two results.The therapeutic mechanism of this combination was explained by network pharmacology and verified by molecular docking. RESULTS AND CONCLUSION:Finally,151 articles were included and 207 prescriptions were selected,involving 285 flavors of Chinese herbs.(1)Ten groups of important drug combinations were obtained through the above two analyses,among which the core drug combination with the highest confidence and improvement was"Drynaria-Eucommia-Angelica."The key components of the combination in the treatment of primary osteoporosis were quercetin,kaempferol,naringenin and so on.The core targets were SRC proto-oncogene,phosphoinositide-3-Kinase regulatory subunit 1 and RELA proto-oncogene.The main pathways were cancer signaling pathway,JAK-STAT signaling pathway,VEGF signaling pathway,and NF-κB signaling pathway.(2)The key active components were docked with the core targets,and the two showed a good combination.To conclude,Chinese herbal compound therapy in the treatment of primary osteoporosis can use a variety of active components to exert its efficacy through multiple signal pathways and acting on multiple targets,which can provide a theoretical basis for the research and development of new drugs for the follow-up treatment of primary osteoporosis.

Objective To develop and evaluate a novel inflammatory marker composite score to predict the risk of major adverse car-diac events(MACE)after percutaneous coronary intervention(PCI)in patients with ST-segment elevation myocardial infarction(STE-MI).Methods A total of 256 patients with STEMI admitted to the Third Medical Center of Chinese PLA General Hospital between June 2021 and May 2022 were selected.Six inflammatory markers[neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),red blood cell distribution width-to-platelet ratio(RPR),monocyte-to-lymphocyte ratio(MLR),monocyte-o-high-density lipoprotein ratio(MHR)and globulin-to-albumin ratio(GAR)]were collected on admission.The least absolute shrinkage and selection operator(LASSO)was used to determine the inflammatory markers of MACE risk,and a novel composite score of inflammatory markers was constructed based on the regression coefficient.COX risk regression models were used to analyze the relationship between this scores and MACE risk in STEMI patients.Nomogram models for quantifying MACE risk were constructed using a correlation R package.The model predictive performance and net clinical benefit were assessed by receiver operating characteristic(ROC)curve and clinical de-cision analysis(DCA)curve.Results In 256 STEMI patients followed up for a median of 11 months,52 patients developed MACE,with an incidence of 20.3％.The N.M.P score was constructed based on NLR,MHR and PLR[N.M.P score=(0.900 x NLR level)+(0.102 × MHR level)+(0.039 × PLR level)].Multivariate COX risk regression analysis showed that N.M.P score was not affected by age and SYNTAX score,and was independently associated with MACE risk independent(P＜0.05).ROC curve analysis showed that the area under the curve(AUC)of the nomogram model in predicting the risk of MACE at six months,one year and one and a half years were 0.905,0.920 and 0.897,respectively.DC A curve analysis showed that the nomogram model could provide a significant clinical net ben-efits.Conclusion The N.M.P score developed by integrating NLR,MHR and PLR are effective in predicting the risk of MACE in STE-MI patients.A nomogram model constructed to quantify the risk of MACE in STEMI patients based on the N.M.P score combined with age and SYNTAX score is useful for risk stratification and the development of secondary prevention strategies.

Objective:To determine the median effective dose (ED 50) of remimazolam for preoperative sedation in pediatric patients of different ages. Methods:This was a prospective study. American Society of Anesthesiologists Physical Status classification I or Ⅱ pediatric patients, aged 1-6 yr, scheduled for elective surgery in our hospital from July to December 2023, in whom the preoperative anxiety was still not relieved after non-drug intervention (preoperative separation anxiety score [PSAS]≥3), were selected. According to the age, the children were divided into 1-<2 yr group, 2-<3 yr group, 3-<4 yr group, 4-<5 yr group and 5-6 yr group. A child's PSAS score = 1 at the time of separation from parents was classified as satisfactory sedation, and a PSAS score ≥ 2 was classified as unsatisfactory sedation. The initial dose of remimazolam in each group was 0.3 mg/kg, dose ratio 1.15. If the child was satisfactorily sedated, the next patient received a lower dose of remimazolam, or conversely if the child was not satisfactorily sedated, a higher dose was given in the next patient. The test was ended when 7 alternating waveforms appeared. The Dixon-Massey method was used to calculate the ED 50 and 95% confidence interval. Results:In 1-<2 yr group, 2-<3 yr group, 3-<4 yr group, 4-<5 yr group and 5-6 yr group, a total of 120 children were included in this study, with 26, 23, 21, 27 and 23 cases, respectively, and the ED 50 (95% confidence interval) of remimazolam for preoperative sedation was 0.152 (0.126-0.178), 0.159 (0.135-0.183), 0.171 (0.147-0.196), 0.150 (0.126-0.174), and 0.146 (0.121-0.170) mg/kg, respectively. There was no significant difference between the groups ( P>0.05). Conclusions:The ED 50 of remimazolam for preoperative sedation is 0.152, 0.159, 0.171, 0.150 and 0.146 mg/kg for every 1 yr in children aged 1-6 yr, and the age factor does not affect the preoperative sedative effect of remimazolam in children of this age group.

Objective:To observe the clinical efficacy of manual therapy based on the Discovery of Posture Secret (DPS) in treating adolescent idiopathic scoliosis (AIS).Methods:Thirty-six AIS patients were randomly divided into an observation group of 17 and a control group of 16. In addition to 10 minutes of side-shift training each week, the control group was given 20 minutes of sling exercise training (SET), while the observation group underwent weekly 20-minute manual therapy sessions based on DPS on the days without SET. Before and after the 4 weeks of treatment spine curvature (Cobb angle), clavicular angle (CA), angle of trunk rotation (ATR) and vertebral rotation (VR) were measured, and the Scoliosis Research Society′s patient questionnaire 22 (SRS-22) was administered.Results:After the treatment the average Cobb angle, CA, ATR and SRS-22 score of the observation group had improved significantly compared with before the treatment. The average Cobb angle, ATR and SRS-22 score of the control group were also significantly higher, but the improvements were not as great as in the observation group. There was no significant difference in VR improvement between the two groups.Conclusion:Manual therapy based on the DPS can effectively ameliorate the scoliosis and shoulder imbalance of AIS patients.