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Objective:To improve the teaching quality of Medical Microbiology by optimizing the teaching method,adjusting the teaching content and reforming the assessment model.Methods:The students of grade 2020 and 2021 of the same major were divided into the control group and the reform group.The control group received the traditional teaching method.The reform group received the"online + offline"blended teaching method,which integrates online learning resources and ideological and political education into the theoretical content of the curriculum.And the whole process assessment system was applied to the teaching method.The teaching quality was evaluated by the whole process examination results and questionnaire survey.Results:Compared with the control group,the score in the reform group was significantly improved(P＜0.01).Results of the questionnaire survey showed that students'satisfaction with the mixed teaching method reached 97.5% .The integration of hot issues of microbiology and curriculum ideological and political education significantly improved students'learning interest,and more students wanted to engage in the work of microbiology related fields in the future.Conclusion:The practice results show that optimizing the teaching method,adjusting the teaching content and reforming the assessment mode can stimulate the students'learning interest,improve the students'independent learning ability and improve the teaching quality.
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Objective To sort out and summarize the research hotspots and trends of Chinese medicine nursing technolo-gy at the present stage.Methods We searched the research literature on TCM nursing technology included in China Knowledge,Wanfang,and Wipu build-up to November 30,2023,and used CiteSpace 6.1.R6 software to perform co-occurrence analysis of research institutions and keyword clustering,timeline,and emergence analysis.Results A total of 5 771 documents were in-cluded,with a general upward trend in the number of publications,peaking at 692 publications in 2021.5 206 documents from 673 journals were included in the research literature,of which 19 journals had ≥50 publications(35.47％).2 087 research or-ganizations were involved,of which 27 had ≥20 publications(13.24％).Involving 9 484 authors,there were a total of 8 au-thors ≥5 in the cluster,indicating the existence of stable teamwork in the cluster.The keyword co-occurrence analysis yielded the research hotspots of TCM nursing technology as TCM nursing,training,nursing management,clinical efficacy,complica-tions,and quality of life.Conclusion Based on the econometrics and visualization analysis of the literature on TCM nursing technology,we explored the research hotspots and trends in this field,and provided two theoretical paths for medical institution managers to construct and optimize the management system of TCM nursing technology:to standardize the TCM nursing technology in hospitals and establish a clinical access management system;and based on the multidimensional management method,to inno-vate the training system of TCM nursing technology.
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The effective management of internal staffs plays an indispensable role in in the hospitals apart from the medi-cal services.A high level of human resource management in the hospitals is demanded since the launch of the reform of the medi-cal and health system.This article takes a hospital in the N city as an example.The unsatisfactory phenomena can be noticed,such as low efficiency,the burden of long sick leave staffs,and the low efficiency of outsourcing services.This article suggests establishing a performance management system,scrutinizing the vacation approval process,determining position responsibilities,allocating internal and external manpower properly,promoting the activeness of functional departments,and improving incentive mechanisms,which can be beneficial to the human resource management in hospitals.
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Objective To study the mechanical properties of titanium mesh and three-dimensional(3D)-printed metal vertebral body substitutes(VBS)to provide guidance for the selection and structural optimization of artificial vertebral implants in clinical practice.Methods The equivalent elastic modulus,equivalent yield strength,and structural failure mode of titanium mesh and 3D-printed porous,truss,and topologically optimized VBS were systematically investigated using compression tests.Results The elastic modulus of the titanium mesh(2 908.73±287.39 MPa)was only lower than that of the topologically optimized VBS.However,their structural strengths and stabilities were inadequate.The yield strength of the titanium mesh(46.61±4.85 MPa)was only higher than that of the porous VBS and it was the first to yield during compression.The porous VBS was insufficient for use as the vertebral implant owing to its poor mechanical strength(18.14±0.17 MPa-25.79±0.40 MPa).The truss VBS had good elastic modulus(2 477.86±55.19 MPa-2 620.08±194.36 MPa)and strength(77.61±0.50 MPa-88.42±1.07 MPa).However,the structural stability of the truss VBS was insufficient,and instability occurred easily during compression.The topologically optimized VBS had the highest elastic modulus(3 746.28±183.80 MPa)and yield strength(177.43±3.82 MPa)among all the tested VBS types,which could provide improved security and stability for artificial vertebral implant in vivo services.Conclusions Topology optimization results in a high strength and high stability VBS design.Moreover,it provides a large design space and great safety margin to provide increased possibilities for lightweight and new material design of future artificial vertebral implants.
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Objective A finite element simulation analysis of a bracketless orthodontic appliance was carried out to determine the correction amount under different working conditions.A design scheme for the bracketless orthodontic appliance was also formulated to create an orthodontic appliance formed by the fused deposition process with a personalized orthodontic effect.Methods Combined with the computed tomography data of the patient,a tooth model was reversely reconstructed.The correction amount of the tooth under tilting,twisting,and translation working conditions was established using the finite element method.Materials with different elastic moduli were chosen to make three-dimensional(3D)shaped bracketless orthodonitc appliance,and the orthodontic force was measured.Results Different correction amounts could be designed according to different working conditions so that the orthodontic appliance had a personalized treatment effect.The orthodontic force of the bracketless orthodontic appliance increased with elastic modulus and thickness.Under the given working conditions,the orthodontic force was minimal(90 mN)when the orthodontic material was at the minimum(90 mN).The orthodontic force reached its maximum value when the orthodontic material was at the maximum(61.66 N).Conclusions According to the patient's tooth condition and the size of the orthodontic force required for each step of correction in the whole correction process,the design should consider bracketless orthodontics with different elastic moduli and thicknesses to treat deformed teeth to realize the effect of staged orthodontic correction.
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Objective To analyze the atrioventricular synchronization rate after implantation of Micra AV leadless pacemaker,and the impact of postoperative programming optimization on atrioventricular synchronization rate.Methods A prospective cohort study was conducted to select patients with complete atrioventricular block who underwent Micra AV leadless pacemaker implantation at Beijing Anzhen Hospital from August 2022 to June 2023.Programming optimization were performed at 1 week,1 month,and 3 months postoperatively,and atrioventricular synchronization rate,electrical parameters,and echocardiography were recorded.Results A total of 68 patients with complete atrioventricular block implanted with Micra AV were selected,with an average age of(68.2±9.7)years,including 47 males(69.1％).All patients were successfully implanted with Micra AV,and there were no serious postoperative complications;The average threshold,sense,and impedance parameters were stable during 1 week,1 month,and 3 months after the procedure;There was no significant difference in the EF value of postoperative echocardiography(P=0.162);The average atrioventricular synchronization rates at 1 week,1 month,and 3 months postoperatively were(75.2％vs.83.8％vs.91.6％,P=0.001).Conclusions As an mechanical atrial sensing,Micra AV requires personalized adjustment of relevant parameters;Postoperative follow-up programming optimization plays an important role in the atrioventricular synchronization and comfort level in patients with complete atrioventricular block after implantation of Micra AV leadless pacemaker.
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Objective To analyze the effects of target volume optimization on oral mucosal reaction and salivary gland function in oropharyngeal cancer patients receiving intensity-modulated radiotherapy(IMRT).Methods A total of 120 patients with oropharyngeal cancer admitted to Affiliated Hospital of Jiangsu University from April 2020 to August 2022 were selected and randomly grouped into control group(n=60,conventional IMRT)and treatment group(n=60,cervical region Ⅱ and the oral target region were optimized during IMRT).The therapeutic efficacy,parotid gland dose,incidence of acute oral mucosal reaction,dry mouth and oral pain at 3 months after IMRT were compared between two groups.The resting-state apparent diffusion coefficient(ADC)values of parotid and submandibular glands at different time points(before radiotherapy,the 4th week of radiotherapy,the end of radiotherapy and 3 months after radiotherapy)were recorded.Results The difference in the objective reaction rate between two groups was trivial[80.00％(48/60)vs 75.00％(45/60),P>0.05].The mean dose(Dmean)and V34 of the unaffected parotid gland and the Dmean and V30 of the oral cavity in treatment group were lower than those in control group(P<0.05).The incidences of acute oral mucosal reaction,dry mouth and oral pain at 3 months after radiotherapy in treatment group were 41.67％,50.00％,and 58.33％,lower than those in control group(75.00％,78.33％,and 85.00％)(P<0.05).The resting-state ADC values of parotid and submandibular glands at the 4th week of radiotherapy,the end of radiotherapy,and 3 months after radiotherapy in both two groups were higher than those before radiotherapy(P<0.05).At the 4th week of radiotherapy,the end of radiotherapy,and 3 months after radiotherapy,the resting-state ADC values of parotid and submandibular glands in treatment group were lower than those in control group(P<0.05).Conclusion Optimizing target volume during oropharyngeal IMRT can effectively prevent the occurrence of radiation-induced mucositis,alleviate oral mucosal reaction,oral pain and dry mouth,reduce parotid gland dose,and diminish the effects of IMRT on salivary gland function in patients.
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Aiming at the obstacle avoidance in simulated prosthetic vision,an improved instance segmentation model SOLOv2-RS is proposed for providing a basis for implant recipients to accurately perceive the relevant instance objects of navigation tasks in low-resolution prosthetic vision.According to the visual attention mechanism,the distance from the center of the visual field and the target scale are adopted as the importance calculation criteria for each instance,and the obtained importance score is used as the basis for the hierarchical representation of the obstacles to be avoided.Meanwhile,edge information is used to cue the tactile paving,and it is morphologically inflated for avoiding the edge information loss caused by the limited phosphene.The prosthetic vision simulation results demonstrate that the hierarchical optimization processing strategy for simulated prosthetic vision can effectively achieve the optimal representation of tactile paving and obstacles,thus facilitating the implant recipients to accomplish outdoor obstacle avoidance tasks more efficiently,and providing ideas for the research on the image processing of visual prosthetic devices.
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Objective To predict the potential suitable growth areas of Epimedium brevicornu Maxim.under current climate conditions in China;To provide basis for the sustainable utilization of Epimedium brevicornu Maxim.resources and production planning.Methods Based on 267 screened species distribution data of Epimedium brevicornu Maxim.and 8 environmental factors,the MaxEnt parameters were optimized by the R language kuenm package.The main environmental factors that affect the distribution of Epimedium brevicornu Maxim.was analyzed and its potential distribution range was predicted.Results The omission rate of the optimal model operation results was 0.044 8,AICc=6 409.884 5,AUC=0.986,indicating a high accuracy of the model.Based on the contribution rate of environmental factors and the knife cut method,it was indicated that the key environmental factors affecting the current distribution of Epimedium brevicornu Maxim.were mainly the average precipitation in July,the average highest temperature in February,the average precipitation in September,the coldest season precipitation,the coefficient of variation of precipitation,the standard deviation of seasonal temperature changes,and the warmest season precipitation.The simulation results showed that the total suitable area for Epimedium brevicornu Maxim.in China under current climate conditions was approximately 221.14×104 km2,concentrated in the central and central southern regions of China.The area of the high suitability zone was approximately 23.13×104 km2;the area of the suitable growth zone was approximately 73.78×104 km2;the area of low suitability zone was approximately 124.22×104 km2.Conclusion This study provides a basis and reference for the artificial cultivation planning and sustainable utilization of Epimedium brevicornu Maxim.resources.
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Objective:To evaluate the robustness of fully automated adaptive planning for Ethos online adaptive radiotherapy (ART) based on the intelligent optimization engine (IOE).Methods:Clinical data of 11 stage ⅠB cervical cancer patients admitted to Peking Union Medical College Hospital between June 2021 and June 2022 were retrospectively analyzed. Original planning images and iterative cone-beam computed tomography (iCBCT) images of each radiotherapy treatment were acquired, and all patient data were imported into the Ethos simulator. IOE-based 9-field automatic plan generation was performed for 11 patients using Ethos, and the generated plans were sent to online adaptive radiotherapy simulation to obtain each online adaptive radiotherapy plan (273 fractions in total) and complete the simulated treatment. For comparison, manual plan design was performed based on the images and contoured structures used for online adaptive radiotherapy planning, and the manually plans created with evenly divided 9 fields. Dosimetric parameters, plan complexity parameters, and Mobius quality assurance (QA) pass rates were collected to compare and evaluate the robustness of the online adaptive radiotherapy plan in terms of organs at risk (OAR), target volume dosimetric parameters, and plan complexity by using paired t-test or rank sum test. Results:The online adaptive plan of cervical cancer had comparable planning target volume (PTV) coverage compared to the manual plan. For the clinical target volume (CTV) D 99%, online adaptive plan was significantly higher than the manual plan [(45.93±0.36) vs. (45.32±0.31) Gy, P<0.001]. For hot dose area, the maximum point dose (PTV D max) of adaptive plan was significantly higher than the manual plan [(49.89±1.25) vs. (48.48±0.77) Gy, P<0.001], but the PTV D 1% of adaptive plan was significantly lower than the manual plan [(47.22±0.29) vs. (47.59±0.48) Gy, P<0.001]. There was no statistical difference in the conformal index ( P=0.967). And there was significant difference in the homogeneity index, with same medians and less dispersion in adaptive plan ( P<0.001). For OAR dose, bladder D mean, rectal V 40 Gy, small intestine D mean of adaptive plan was slightly higher than that of the manual plan; the rectal D mean, small intestine D 2 cm3 of the adaptive plan was slightly lower than that of manual plan; dosimetric parameters of right and left femoral heads, spinal cord and bone marrow of the adaptive plan were better than those of manual plan. The adaptive plan had more monitor units (MU) than the manual plan, but the complexity of the adaptive plan was significantly lower than that of the manual plan (0.135±0.012 vs. 0.151±0.015, P<0.001). For Mobius γ pass rate (5%/3 mm), both adaptive and manual plans met clinical requirements. Conclusion:Ethos cervical cancer online adaptive plan, which is based on the IOE engine, demonstrates good robustness and ensures the quality of online adaptive plans generated for each treatment fraction.
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Objective:To evaluate the automatic optimization performance and clinical feasibility of the intelligent optimization engine (IOE) in the Ethos online adaptive radiotherapy platform.Methods:Clinical data of 11 patients with postoperative cervical cancer treated with Halcyon accelerator were retrospectively analyzed. Manual planning was performed for all patients using the 4 full arc volumetric modulated arc therapy (VMAT) (Manual-4Arc) in Eclipse, with a prescription dose of 45 Gy/25F. Patient images and structures were imported into the Ethos simulator, and appropriate clinical goals were added based on clinical requirements. The target coverage was normalized to 95%. Automatic plan generation was conducted using IOE, resulting in 7, 9, and 12 field intensity modulated radiotherapy (IMRT) plans (IMRT-7F、IMRT-9F、IMRT-12F), as well as 2 and 3 arc VMAT plans (VMAT-2Arc、VMAT-3Arc). Dosimetric index comparisons were made between the Manual-4Arc plans and the 5 groups of IOE-generated plans through one-way analysis of variance. Based on the analysis results, Turky post hoc multiple comparisons were performed to evaluate the automatic optimization performance of IOE.Results:In terms of the high dose area, the IMRT-12F plans showed the lowest D 1% for the planning target volume (PTV), and there were significant differences compared to the Manual-4Arc plans ( P=0.004). Regarding target coverage, all groups produced clinical target volume (CTV) plans that met the clinical requirements. Although the Ethos online adaptive plans were normalized during planning, the PTV coverage was slightly insufficient. For organs at risk (OAR) close to the target, such as the bladder, there were significant differences in V 30 Gy, V 40 Gy, and D mean among the 6 groups of plans. The dose ranking for the bladder was generally as follows: IMRT-12F<IMRT-9F<Manual-4Arc<IMRT-7F<VMAT-3Arc<VMAT-2Arc. There were significant statistical differences in V 30 Gy and D mean for the rectum, and the dose ranking was generally consistent with that of the bladder, except for a switch between the IMRT-7F and Manual-4Arc plans. There were no significant differences in rectal V 40 Gy, small intestine D max, and D mean among the 6 groups of plans. For OAR distant from the target, such as the left and right femoral heads, spinal cord, and bone marrow, the dose ranking was generally as follows: IMRT-12F<IMRT-9F<IMRT-7F<VMAT-2Arc<VMAT-3Arc<Manual-4Arc. Conclusion:The plans automatically generated by Ethos IOE in postoperative patients with cervical cancer can achieve similar performance to manual plans, and the automatically generated IMRT-12F and IMRT-9F plans are recommended for clinical use.
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@#Objective To select and optimize the process parameters of SARS-CoV-2 F61 affinity chromatography by the screening and optimization experiment of Design of Experiment(DoE),in order to obtain the optimal process conditions.Methods Eight process parameters that may affect the experimental response results in affinity chromatography were selected and their level ranges were determined.DoE screening test was used to perform 8 factor 2 level screening tests on the selected process parameters.The response values were detected and the mathematical model was fitted by statistical software.Three key process parameters significantly affecting the key quality attributes were obtained by Pareto diagram analysis(P < 0.05).Then DoE response surface method(RSM)was selected to optimize the key process parameters.First,the full factorial experiment design was completed,the response results were detected to fit the mathematical model,and the bending term P value was analyzed to judge the range of significant factors in the optimal range(bending P < 0.05),then according to the sequential complement of the central composite face-centered design(CCF)experiment,through the detection of the response results to fit the response surface model,the range of optimal conditions was obtained,and the stability of the optimal parameters was finally verified by repeated experiments.Results In the screening experiment,it was found that the significant factors affecting F61 in the affinity chromatography stage were elution buffer pH,elution buffer salt concentration,leaching buffer salt concentration and equilibrium buffer salt concentration.The optimal conditions of key process parameters in affinity chromatography were obtained by CCF.When the pH of elution buffer was 3.2,the elution buffer salt concentration was 0.07 mol/L NaCl,and the leaching buffer salt concentration was 0.31 mol/L NaCl,the yield of F61 reached 95.25%,the residual amount of host cell protein(HCP)was 97.33 ppm,and the monomer purity of the sample was98.51% at the affinity chromatography stage.Conclusion Different types of DoE methods were used to screen and optimize the process parameters of F61 affinity chromatography stage,and the optimal process conditions were obtained,which lays a foundation for the esta-blishment of F61 purification process.
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Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive dysfunction and behavioral impairment, and there is a lack of effective drugs to treat AD clinically. Existing medications for the treatment of AD, such as Tacrine, Donepezil, Rivastigmine, and Aducanumab, only serve to delay symptoms and but not cure disease. To add insult to injury, these medications are associated with very serious adverse effects. Therefore, it is urgent to explore effective therapeutic drugs for AD. Recently, studies have shown that a variety of enzyme inhibitors, such as cholinesterase inhibitors, monoamine oxidase (MAO)inhibitors, secretase inhibitors, can ameliorate cholinergic system dysfunction, Aβ production and deposition, Tau protein hyperphosphorylation, oxidative stress damage, and the decline of synaptic plasticity, thereby improving AD symptoms and cognitive function. Some plant extracts from natural sources, such as Umbelliferone, Aaptamine, Medha Plus, have the ability to inhibit cholinesterase activity and act to improve learning and cognition. Isochromanone derivatives incorporating the donepezil pharmacophore bind to the catalytic active site (CAS) and peripheral anionic site (PAS) sites of acetylcholinesterase (AChE), which can inhibit AChE activity and ameliorate cholinergic system disorders. A compound called Rosmarinic acid which is found in the Lamiaceae can inhibit monoamine oxidase, increase monoamine levels in the brain, and reduce Aβ deposition. Compounds obtained by hybridization of coumarin derivatives and hydroxypyridinones can inhibit MAO-B activity and attenuate oxidative stress damage. Quinoline derivatives which inhibit the activation of AChE and MAO-B can reduce Aβ burden and promote learning and memory of mice. The compound derived from the combination of propargyl and tacrine retains the inhibitory capacity of tacrine towards cholinesterase, and also inhibits the activity of MAO by binding to the FAD cofactor of monoamine oxidase. A series of hybrids, obtained by an amide linker of chromone in combine with the benzylpiperidine moieties of donepezil, have a favorable safety profile of both cholinesterase and monoamine oxidase inhibitory activity. Single domain antibodies (such as AAV-VHH) targeted the inhibition of BACE1 can reduce Aβ production and deposition as well as the levels of inflammatory cells, which ultimately improve synaptic plasticity. 3-O-trans-p-coumaroyl maslinic acid from the extract of Ligustrum lucidum can specifically inhibit the activity of γ-secretase, thereby rescuing the long-term potentiation and enhancing synaptic plasticity in APP/PS1 mice. Inhibiting γ-secretase activity which leads to the decline of inflammatory factors (such as IFN-γ, IL-8) not only directly improves the pathology of AD, but also reduces Aβ production. Melatonin reduces the transcriptional expression of GSK-3β mRNA, thereby decreasing the levels of GSK-3β and reducing the phosphorylation induced by GSK-3β. Hydrogen sulfide can inhibitGSK-3β activity via sulfhydration of the Cys218 site of GSK-3β, resulting in the suppression of Tau protein hyperphosphorylation, which ameliorate the motor deficits and cognitive impairment in mice with AD. This article reviews enzyme inhibitors and conformational optimization of enzyme inhibitors targeting the regulation of cholinesterase, monoamine oxidase, secretase, and GSK-3β. We are hoping to provide a comprehensive overview of drug development in the enzyme inhibitors, which may be useful in treating AD.
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Since the approval of gemtuzumab ozogamicin, an antibody–drug conjugate (ADC) targeting CD33 in 2000, 13 ADC drugs have been approved by the FDA. Although these drugs have clearly improved the survival of patients with various types of advanced cancers, their significant toxicity has compromised their therapeutic benefits. The adverse reactions of ADC drugs are complex and include on-target and off-target toxicities, where the payload drug is a determining factor. Antibody and linker may also affect the degree of toxicity. Combination therapy becomes an important strategy in anticancer treatment because of its increased efficiency, but treatment-related adverse reactions also increase accordingly. This review comprehensively analyzes the toxicity mechanisms of current ADC drugs and proposes various optimization strategies, including but not limited to optimizing linker molecules, upgrading antibody design, and changing drug administration strategies, to improve the overall safety profile of ADC drugs.
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ObjectiveTo investigate whether elemene（ELE） enhances the anti-glioma efficacy of cabazitaxel（CTX）， and prepare a double-targeted cationic liposome（LIP） co-loaded with ELE/CTX for the treatment of glioma， and to achieve the effect of increasing the efficacy and reducing the adverse reactions. Pharmacodynamic tests in vitro were performed to explore the advantages and mechanism of its preparation. MethodELE/CTX@LIP was prepared by high speed shear combined with probe ultrasound， the particle size and potential were characterized by nano-particle size potentiometer， and high performance liquid chromatography（HPLC） was used to determine the encapsulation efficiency and drug loading capacity of CTX/ELE. The cytotoxicity of ELE/CTX in vitro was detected by cell proliferation and activity assay（CCK8）. JMP Pro 16 software was used to optimize the process parameters of ELE/CTX@LIP based on encapsulation efficiency. The optimal cationic material type， content and ratio were screened by in vitro cytotoxicity and in vitro cell uptake， on this basis， the dual-targeted cationic liposome T7/arginine glycine aspartate tripeptide sequence（T7/cRGD）-ELE/CTX@CLIP was prepared， the stability of morphology and particle size were characterized， and the effect of T7/cRGD-ELE/CTX@CLIP on the apoptosis inducing ability and cell cycle regulation ability of glioma cells was analyzed by cell cycle and apoptosis. ResultELE/CTX showed stronger anti-glioma activity on C6 and RG2 cells. The results of in vitro cytotoxicity and in vitro cell uptake showed that the amount of cationic material was 0.10% of the total content. The optimum ratio of T7， cRGD and phospholipids was 1∶1∶50. T7/cRGD-ELE/CTX@CLIP［1，2-dilinoleyloxy-3-dimethylaminopropane（Dlin-MC3-DMA）］ and T7/cRGD-ELE/CTX@CLIP［1，2-dimyristoyl-rac-glycero-3-methoxypolyethylene glycol 2000（DMG-PEG2000）］ showed multi-level spherical nanostructures with particle sizes of 146.0， 111.3 nm， respectively， and were stable in serum. In vitro cytotoxicity results showed that T7/cRGD-ELE/CTX@CLIP had higher cytotoxicity to glioma cells than single-targeted liposomes or dual-targeted non-cationic liposomes. T7/crGD-ELE/CTX@CLIP affected the apoptosis and cycle of glioma cells， the results showed that ELE/CTX combined with liposomes could more effectively activate the apoptosis channel and inhibit the proliferation of glioma cells， and the use of T7/cRGD short peptide and cation modification enhanced the ability of apoptosis induction. ELE/CTX could effectively block glioma cell cycle at G2/M phase， and the effect was enhanced after T7/cRGD targeted modification. ConclusionELE can enhance the anti-glioma effect of CTX. The preparation parameters of ELE/CTX@LIP are stable and feasible. Combined with the in vitro efficacy test， the anti-glioma mechanism of T7/cRGD-ELE/CTX@CLIP is preliminarily revealed.
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Objective To investigate the application effects of cardiac resynchronization therapy(CRT)of[left bundle optimization(LOT)]and biventricular pacing(BiV)in the patients with chronic heart failure complicating left bundle branch block.Methods The single center,prospective and non-randomized controlled study method was used.Forty-two patients with heart failure meeting CRT in this center from April 2020 to April 2022 were consecutively included.Among them,32 cases adopted the BiV-CRT(BiV-CRT group)and 10 cases adopted LOT-CRT(LOT-CRT group).The pacing-making parameters,quality of life scale(SF-36)score,6-min walk test(6-MWT),ECG QRS width(QRSd),left ventricular end-diastolic diameter(LVEDD),left ventricular ejection fraction(LVEF)and New York cardiac function grade(NYHA)situation were collected before surgery,after surgery immediately and in postoperative 3,6,12 months.Their complica-tions and clinical outcomes were evaluated.Results The pacing threshold value in the LOT-CRT group was stable and lower than that in the BiV-CRT group(P＜0.05);QRSd in postoperative 12 months in the LOT-CRT group was shorter than that in the BiV-CRT group[(115.0±14.3)ms vs.(133.0±14.0)ms,P＜0.05]and 6-MWT was longer than that in the BiV-CRT group[(327.0±52.8)m vs.(274.0±52.8)m,P＜0.05],and the differences were statistically significant(P＜0.05);LVEF,LVEDD,NYHA cardiac grade and SF-36 score in postoperative 12 months were improved compared with those before implantation.The rehospitaliza-tion rate of heart failure in the LOT-CRT group was lower.Conclusion LOT-CRT could obtain a narrower QRS wave and longer 6-MWT than BiV-CRT.
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Objective To establish an early prediction model for the diagnosis of severe acute pancreatitis based on the improved machine learning models,and to analyze its clinical value.Methods A case-control study was conducted on 352 patients with acute pancreatitis admitted to the Gastroenterology and Hepatobiliary Surgery Departments of the Army Medical Center of PLA and Emergency and Critical Care Medicine Department of No.945 Hospital of Joint Logistics Support Force of PLA from January 2014 to August 2023.According to the severity of the disease,the patients were divided into the severe group(n=88)and the non-severe group(n=264).The RUSBoost model and improved Archimead optimization algorithm was used to analyze 39 routine laboratory biochemical indicators within 48 h after admission to construct an early diagnosis and prediction model for severe acute pancreatitis.The task of feature screening and hyperparameter optimization was completed simultaneously.The ReliefF algorithm feature importance rank and multivariate logistic analysis were used to analyze the value of the selected features.Results In the training set,the area under curve(AUC)of the improved machine learning model was 0.922.In the testing set,the AUC of the improved machine learning model reached 0.888.The 4 key features of predicting severe acute pancreatitis based on the improved Archimedes optimization algorithm were C-reactive protein,blood chlorine,blood magnesium and fibrinogen level,which were consistent with the results of ReliefF algorithm feature importance ranking and multivariate logistic analysis.Conclusion The application of improved machine learning model analyzing the laboratory examination results can help to early predict the occurrence of severe acute pancreatitis.
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Natural products are important sources for the discovery of anti-tumor drugs. Evodiamine is the main alkaloid component of the traditional Chinese herb Wu-Chu-Yu, and it has weak antitumor activity. In recent years, a number of highly active antitumor candidates have been discovered with a significant progress. This article reviews the research progress of evodiamine-based antitumor drug design strategies, in order to provide reference for the development of new drugs with natural products as leads.
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Receptor-interacting serine/threonine-protein kinase 1 (RIPK1) functions as a key regulator in inflammation and cell death and is involved in mediating a variety of inflammatory or degenerative diseases. A number of allosteric RIPK1 inhibitors (RIPK1i) have been developed, and some of them have already advanced into clinical evaluation. Recently, selective RIPK1i that interact with both the allosteric pocket and the ATP-binding site of RIPK1 have started to emerge. Here, we report the rational development of a new series of type-II RIPK1i based on the rediscovery of a reported but mechanistically atypical RIPK3i. We also describe the structure-guided lead optimization of a potent, selective, and orally bioavailable RIPK1i, 62, which exhibits extraordinary efficacies in mouse models of acute or chronic inflammatory diseases. Collectively, 62 provides a useful tool for evaluating RIPK1 in animal disease models and a promising lead for further drug development.
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OBJECTIVE To prepare the Eriodictyol chewable tablet and to evaluate its quality. METHODS The chewable tablet was prepared by the wetting granulation method by using microcrystalline cellulose （MCC） and mannitol as fillers， polyvinylpyrrolidone （PVP） as adhesive， citric acid and sucralose as flavor correction agents， magnesium stearate as lubricant. The comprehensive evaluation was conducted on Eriodictyol chewable tablets with the dosage of each excipient as a factor using the appearance， taste， flavor and texture as indicators. The ratio of excipients was optimized by orthogonal test， and the quality of Eriodictyol chewable tablets prepared by optimized formulation was evaluated in terms of appearance， weight difference， hardness， fragility， eriodictyol content， dissolution and content uniformity. RESULTS The optimal formulation was as follows： 26.4% eriodictyol （50 mg each piece）， 45% mannitol， 25% MCC， 0.3% citric acid， 0.3% sucralose， 1% magnesium stearate， 2% PVP （preparing 5% solution using purified water）. The scores of 3 batches of Eriodictyol chewable tablets in the validation test were 8.76， 8.75 and 8.80 （RSD＝0.30%， n＝3）， respectively. The Eriodictyol chewable tablet had a complete appearance and a smooth surface； the average tablet weight was 192.57 mg， the average hardness was 57.36 N， the fragility was 0.09%， the average content of eriodictyol per tablet was 50.74 mg， the cumulative dissolution within 30 min was exceeding 80%， and the content uniformity was 5.51. CONCLUSIONS Eriodictyol chewable tablet prepared by optimal formulation conforms to the requirements of the 2020 edition of Chinese Pharmacopoeia.