Plant-derived extracellular vesicles (PDEVs), describe a group of nanoparticles released by plants. These particles are characterized by a lipid bilayer structure containing various proteins, lipids, nucleic acids, and unique metabolites. Although the study on PDEVs is relatively new, having only been around for ten years, they have shown promising development prospects in both basic research and clinical transformation areas. Evidence suggests that PDEVs have excellent application prospects in regulating inflammation and treating tumors. Their distinctive, vesicle-mimicking architecture and stellar biocompatibility render them prime candidates for ferrying various anti-cancer agents, including RNA, proteins, and conventional chemotherapy drugs. Increasingly, studies have shown that PDEVs can be engineered as an innovative platform for combination cancer immunotherapy. Consequently, this paper provides an extensive summary of current developments in engineering methods and strategies for PDEVs in cancer treatment and combined cancer immune therapeutics. The essential characteristics of PDEVs, including the biogenesis process and components, as well as their anti-tumor activity and mechanism, are summarized. Finally, the in vivo safety of PDEVs as delivery vectors and the challenges of scale-up production and clinical transformation are discussed.

Structural optimization of lead compounds is a crucial step in drug discovery. One optimization strategy is to modify the molecular structure of a scaffold to improve both its biological activities and absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties. One of the deep molecular generative model approaches preserves the scaffold while generating drug-like molecules, thereby accelerating the molecular optimization process. Deep molecular diffusion generative models simulate a gradual process that creates novel, chemically feasible molecules from noise. However, the existing models lack direct interatomic constraint features and struggle with capturing long-range dependencies in macromolecules, leading to challenges in modifying the scaffold-based molecular structures, and creates limitations in the stability and diversity of the generated molecules. To address these challenges, we propose a deep molecular diffusion generative model, the three-dimensional (3D) equivariant diffusion-driven molecular generation (3D-EDiffMG) model. The dual strong and weak atomic interaction force-based long-range dependency capturing equivariant encoder (dual-SWLEE) is introduced to encode both the bonding and non-bonding information based on strong and weak atomic interactions. Additionally, a gate multilayer perceptron (gMLP) block with tiny attention is incorporated to explicitly model complex long-sequence feature interactions and long-range dependencies. The experimental results show that 3D-EDiffMG effectively generates unique, novel, stable, and diverse drug-like molecules, highlighting its potential for lead optimization and accelerating drug discovery.

As an important branch of artificial intelligence,machine learning meets the demand for digital intelligence in prosthodon-tics with the rapid development and application of its algorithm.This review provides an overview of the application of machine learning algorithms in dental restoration,including the design of dental prostheses,tooth shade selection,and tooth preparation line detection.Additionally,this paper also briefly analyzes the merits of machine learning and discusses the challenges and issues in current re-search,to provide references for research on machine learning algorithms in prosthodontics.

Objective To explore the surgical techniques and experiences in the treatment of Peyronie's disease using electric rotary grinding of tunica albuginea plaques followed by graft repair with tunica vaginalis or bovine pericardium under a microscope.Methods A retrospective cohort study was performed on 21 patients with severe penile curvature due to Peyronie's disease admitted in our department from January 2021 and May 2023.All of them underwent microscopic electric rotary grinding of tunica albuginea plaques followed by graft repair surgery.Short-term and mid-term outcomes were observed.Results For the 21 enrolled patients,12(57.1％)underwent repair using unilateral tunica vaginalis,3(14.3％)underwent repair using bilateral tunica vaginalis,and 6(28.6％)underwent repair using bovine pericardium.The operation time was 170～385(average 272±69)min,and the average postoperative follow-up duration was3～24(average 12.1±7.2)months.Seventeen patients(81.0％)had their penis fully extended,while 4 patients(19.0％)had slight dorsal curvature,which was less than 10°.All patients were satisfied with the shape of their penis during erection.The change in penile length was+(1.1±0.5)cm,and 9 patients(42.9％)reported early postoperative penile head numbness,which spontaneously resolved after an average duration of 3.2±1.9 months.All patients were able to successfully engage in sexual activity,with an average penile erection hardness score of 3.8.The overall satisfaction rate was 90.5％post operatively.Conclusion Meticulous dissection of Buck's fascia under a microscope is advantageous in reliably preserving dorsal neurovascular structures.Application of an electric grinding drill for plaque ablation allows for more precise release of the tunica.Graft repair of tunica albuginea defects with testicular tunica vaginalis or bovine pericardium for Peyronie's disease yields overall favorable clinical outcomes and obtains high satisfaction.It is worthy of promotion in clinical practice.

OBJECTIVE To establish high performance liquid chromatography （HPLC） fingerprint of Xiaohe syrup and determine the contents of 10 effective ingredients in them. METHODS With 12 batches of Xiaohe syrup as samples， ultra-high performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） was adopted with Athena C18 （250 mm×4.6 mm， 5 μm） as the chromatographic column， acetonitrile-0.1% phosphoric acid aqueous solution as mobile phase for gradient elution. The flow rate was 1.0 mL/min， and the detection wavelength was 210 nm. Similarity Evaluation System for Traditional Chinese Medicine Chromatographic Fingerprint （2012A version） was imported to establish the fingerprint of Xiaohe syrup and evaluate the similarity. The content determination was performed on ACQUITY UPLC BEH C18（ 100 mm×2.1 mm， 1.7 μm） chromatographic column， with 0.01% formic acid acetonitrile-0.01% formic acid water as mobile phase for gradient elution at a flow rate of 0.4 mL/min； combined with high-resolution mass spectrometer， positive and negative ions were scanned with an electric spray ion source to determine the content of each main component in 12 batches of Xiaohe syrup. RESULTS A total of 33 common peaks were calibrated in 12 batches of samples， with similarities greater than 0.97； 10 chromatographic peaks were confirmed， namely flavonoid glycosides， paeoniflorin， ferulic acid， naringin， rosmarinic acid， neohesperidin， salvianolic acid B， tetrahydropalmatine， saikosaponin A， and saikosaponin D. The results of content determination showed that the above 10 components had good linear relationships within their respective mass concentration ranges （all R 2＞0.999）， with contents ranging from 0.35 to 0.64， 3.15 to 5.61， 0.11 to 0.17， 1.68 to 3.17， 1.59 to 1.90， 1.15 to 1.64， 0.78 to 1.48， 0.11 to 0.26， 0.06 to 0.13， and 0.33 to 0.61 mg/mL， respectively. CONCLUSIONS The main components of 12 batches of Xiaohe syrup are similar， but the contents vary； HPLC fingerprint and UPLC-MS/MS content determination method established in this study can be used for comprehensive quality evaluation of Xiaohe syrup.

Objective To summarize and evaluate the characteristics of current recurrent spontaneous abortion(RSA)animal models at home and abroad,and to provide reference and guidance for the standardized preparation of RSA models.Methods"Recurrent spontaneous abortion"and"animal model"were used as co-keywords in CNKI,Wanfang,VIP,PubMed and Web of Science databases to search the RSA animal experimental literature,covering the period up to January 20,2024,and a total of 1 411 articles were collected.The analysis focused on construction methods and essential elements of RSA animal models,the modeling process and result evaluation,as well as the application of these models in pharmacological and pharmacodynamic research.An Excel table was established for systematic analysis and discussion.Results A total of 138 experimental studies were obtained after screening.In constructing RSA animal models,immunological models were the most widely used in Western medicine(96.92％),with the Clark model being the main one(92.31％).In traditional Chinese medicine(TCM)models,70.00％were kidney deficiency-luteal inhibition-syndrome combination models,20.00％were kidney deficiency and blood stasis models,and 10.00％were deficiency-heat syndrome models.Most animals were selected at 6-8 weeks(33.86％)and 8 weeks(32.28％)of age.The majority of animals were paired for mating at 18:00 on the day of cage pairing.In 81.03％of literatures,vaginal plugs were checked once the following morning,with 8:00 being the most common time(17.02％).The most commonly used drug administration cycle was 14 days of continuous gavage after pregnancy.Among the tested drugs,Western drugs were mainly protein-based(29.17％),while TCM drugs were mainly TCM decoction(81.11％).The most frequently used methods for detecting indicators included visual observation of embryos(22.54％),western blot(15.96％),PCR(13.58％),ELISA(12.91％),HE staining(10.80％)and immunohistochemistry(9.39％).Conclusion The etiology of RSA is complex,and corresponding animal models should be established based on different etiologies.Clark model is commonly used in the construction of Western medicine model,while the kidney deficiency-luteal inhibition-syndrome combination model is predominant in TCM.RSA animal model is widely used in related research,but systematic evaluation needs to be strengthened.

Objective: To evaluate the preventive effect of implementing the free influenza vaccination policy on school absence among primary and secondary school students, so as to provide a reference for formulating and adjusting vaccination strategies. Methods: Among primary and secondary school students aged 6 to 18 in Longgang District, Shenzhen, they were divided into a vaccinated group (265 996 students) and an unvaccinated group (122 513 students) according to their influenza vaccination history during November 2023. Propensity score matching was used to conduct a 1∶1 match between the two groups to balance covariates. The number of absences per month was set as the dependent variable to construct a difference in differences model, and Poisson regression was employed to analyze the overall and multi time point effects. Results: Vaccination against influenza was associated with low rate of absenteeism among primary and secondary school students, with an overall preventive effect of 26.52% (95% CI = 23.47% -29.45%). The preventive effects in November (the month of vaccination) and December 2023, January and March 2024 were 42.12%, 40.12%, 30.33% and 20.91%, respectively. The preventive effect of the influenza vaccine on absenteeism among primary school students (26.39%) was not significantly different from that among secondary school students ( 27.97% ) ( P >0.05). The regression coefficient for class vaccination rates ranged from 0.998 to 0.999 ( P <0.01), indicating that for every 10% increase in influenza vaccination rates, absenteeism could be reduced by 1.5% to 2.2%. Conclusion Implementing free influenza vaccination for primary and secondary school students might help to reduce the risk of absenteeism, yielding significant socioeconomic benefits.

OBJECTIVE To construct the quantitative evaluation system of regional clinical pharmacists’ professional ability， and provide reference for the evaluation of regional clinical pharmacists’ professional ability. METHODS Twenty-one experts from 18 hospitals in Chongqing were consulted to construct a professional ability index system for clinical pharmacists. TOPSIS model was used to calculate and obtain the expert authority index （EI）， and the weighted averaging method was used to construct the judgment matrix. Analytic hierarchy process （AHP） was used to calculate the weights of all indicators for establishing a quantitative evaluation system of regional clinical pharmacists’ professional ability according to the weights of each item. RESULTS The results of TOPSIS showed that the EI range was 0.010-0.100， and the relative authority of experts was distinguished and measured effectively. The results of AHP showed that the judgment matrix of the quantitative evaluation system met the requirements of consistency test （consistency test index CR＜0.1）. Finally， a quantitative evaluation system for regional clinical pharmacists’ professional ability was established， including 6 sub-objective items （basic ability， clinical practice ability， coordination and communication ability， publicity ability， scientific research and teaching ability， continuous improvement ability） and 25 index items （such as educational background， professional title， clinical pharmacy working years， daily theoretical skills assessment， information ability level， medication education， etc.）. CONCLUSIONS A quantitative evaluation system of regional clinical pharmacists’ professional ability has been established. Our study provides a theoretical reference for the quantitative evaluation and optimal management of regional clinical pharmacists.

The ultra-high dose rate (UHDR) radiation has less side effect while keep comparable tumor control effect with conventional dose rate (CONV) radiation, which was named Flash effect. Recently, the Flash effect has been reported in many animal experiments with various types of radiations, animal species and body parts. However, the underlying mechanism of Flash has still been unraveled, making difficulties for the clinical application. This review pointed out the differences between the Flash effect and the UHDR effect in vitro and proposed three key scientific questions of Flash effect based on three well-known hypotheses, i. e., oxygen depletion, peroxyl radical recombination and immune cell protection. Finally, the research progresses and challenges of Flash mechanism study are concluded in order to give a clue for further deep investigation.

OBJECTIVE To predict the quality marker(Q-Marker) of Aurantii Fructus Immaturus in Wendan decoction (WDD) based on fingerprint and network pharmacology. METHODS Establish the fingerprint of Aurantii Fructus Immaturus and WDD reference samples, use Chinese Medicine Chromatographic Fingerprint Similarity Evaluation Software(2012A Edition)for similarity analysis and common component identification; use network pharmacology to screen the related targets and key pathways of common components, and establish the composition-target-pathway network. Predict the potential Q-marker of expectorant stop vomiting, clear gallbladder and stomach of Aurantii Fructus Immaturus in WDD, and determine its content. RESULTS The fingerprints of 15 batches of Aurantii Fructus Immaturus and 15 batches of WDD reference samples were established, and the similarity of fingerprints between 15 batches of Aurantii Fructus Immaturus and WDD reference sample >0.9. Five chemical components were identified, which were naringin, hesperidin, neohesperidin, nobiletin and tangerine. Network pharmacologic screen analysis to getTP53, MAPK8, EGFR, JUN, MMP9 and other 32 core targets of the five compounds and Endocrine resistance, pathways in cancer, and 10 other key pathways. Construct the "component-target-pathway" network diagram. It was predicted that naringin, hesperidin, neohesperidin, nobiletin and tangerine were Q-markers of Aurantii Fructus Immaturus in WDD. The contents of naringin, hesperidin, neohesperidin, nobiletin, tangerine in WDD were not less than 0.011 7%, 0.025 3%, 0.025 7%, 0.010 4%, 0.010 7%. CONCLUSION Q-Marker prediction analysis of Aurantii Fructus Immaturus in WDD provides a reference for establishing a complete WDD quality evaluation system, and also lays a foundation for elucidating the mechanism of its pharmacodynamic material basis.