In this study, we designed and synthesized 12 novel aloperine derivatives with different core structures. Among them, compound 3 with a ten-membered ring core was obtained through a special ring expansion reaction after γ-H Huffman elimination of quaternary ammonium salt, and the structure was verified by X-single crystal diffraction. Furthermore, their antiviral activity against human β-coronavirus HCoV-OC43 was evaluated by CCK-8 assay. Quaternary ammonium salt 2a and 3 had a good inhibitory effect against HCoV-OC43, and 2a had the highest anti-HCoV-OC43 activity with an EC₅₀ values of 3.77 μmol·L^-1 and a SI value of over 53.1. Schrӧdinger molecular docking results showed that both 2a and 3 might display their anti-HCoV-OC43 activity by directly acting on host TMPRSS2 and SR-B1. The results expanded the structural types of endocyclic aloperine and the function against coronavirus, and provided useful scientific data for the development of pharmaceutical applications of these compounds.

ObjectiveSodium hyaluronate (HA) was used as the research object to modify it with phenolic acid in order to obtain the molecular structure with better antioxidant activity or even new activity. MethodsIn this study, 5 kinds of phenolic acid-sodium hyaluronate was prepared by free radical-mediated grafting method, and the grafts with the highest grafting degree were selected to optimize the synthesis conditions. Then, grafts structure and physicochemical properties were analyzed. The grafts were characterized by IR, UV, ¹H NMR, FESEM and TGA spectra. The in vitro antioxidant capacity of grafts was determined by the scavenging ability of DPPH·, ABTS⁺· and O^2-·. ResultsAmong 5 kinds of phenolic acid-sodium hyaluronate, the grafting rate of ferulic acid-sodium hyaluronate copolymer (FA-HA) was highest , which was chosen as experimental sample in the following tests. Firstly, the reaction conditions were investigated and the highest grafting rate was (16.59±0.31) mg/g at the optimal preparation conditions. Then, FA-HA structure and physicochemical properties were analyzed. Data from UV, IR, ¹H NMR analyses, TGA showed that FA were successfully grafted to HA. Compared with HA, the results of gel permeation chrematography (GPC) showed that the molecular mass distribution ofFA-HA copolymer decreased from 34.4 to 31.5 ku, but the uniformity of molecular distribution was improved. FESEM results showed that the structure of copolymer exhibited a closely connected lamellar structure with a relatively smooth surface. TGA results showed that thermal stability of FA-HA had a little decline. The antioxidant performance in vitro results showed that, during 0.25-10 g/L, FA-HA can eliminate (83.76±4.86)% DPPH·, (76.95±5.06)% ABTS⁺· and (83.08±2.51)% O^2-· respectively at 10 g/L. which were higher than that of native HA and FA. ConclusionFA and HA were successfully grafted together by free radical grafting, and the grafted FA-HA had better antioxidant activity in vitro, which provided a theoretical basis for further research and development of phenolic acid-HA grafts.

BACKGROUND:The combination of machine learning and medical metal materials can make up for the inefficiency and high cost of traditional experiments and computational simulations,and quickly and accurately predict the characteristics of metal materials by analyzing large amounts of data,optimize material design and performance,and improve the safety and efficiency of medical applications. OBJECTIVE:To summarize the research progress and shortcomings of machine learning in the characteristics of medical materials. METHODS:The first author searched CNKI,PubMed,X-MOL,and Web of Science databases by computer to search all relevant articles from January 2013 to April 2023.The Chinese search terms were"machine learning of medical metal materials,medical titanium alloy,medical magnesium alloy,medical metal material properties".The English search terms were"machine learning medical metal materials,medical stainless steel alloy,medical cobalt-chromium alloy,medical titanium alloy,medical magnesium alloy".Finally,70 relevant articles were included for a summary. RESULTS AND CONCLUSION:(1)The introduction of machine learning as a material design methodology has opened up new paradigms for material science research as the accessibility of large amounts of data generated by traditional experimental and computational simulation methods increases.(2)The machine learning workflow is divided into four main parts:data collection and preprocessing,feature engineering,model selection and training,and model evaluation,each of which is indispensable.(3)Medical metal materials are categorized into:stainless steel co-base alloys,cobalt-chromium alloys,titanium alloys,and magnesium alloys.For stainless steel co-base alloy,machine learning predicts its mechanical properties,to improve the generalization ability of machine learning.For cobalt-chromium alloy,machine learning predicts its mechanical properties,and it can conclude that cobalt-chromium alloy is the optimal material for hip implants.For titanium alloy,machine learning predicts its mechanical properties,and it can select the implant with the best mechanical properties.For magnesium alloy,machine learning predicts its corrosion resistance and mechanical properties;the ensemble model can accurately predict the mechanical properties of magnesium alloys,and the random forest model can predict the optimal elemental contents of magnesium alloys as vascular stents.(4)Machine learning has deficiencies in the field of medical materials.For example,the model is relatively lagging;the data failed to be standardized,and the generalization is low.To solve such problems,we should make full use of deep learning and segmentation algorithm technology,use unified standard data,and improve the model to increase the generalization ability.

Objective To investigate the effects of parecoxib sodium injection combined with dexmedetomidine hydrochloride injection on postoperative cognitive function and stress response in patients with osteoporotic compression fractures.Methods The patients with osteoporotic compression fractures were divided into treatment group and control group according to the treatment plan.The control group was given intravenous injection of dexmedetomidine hydrochloride injection 0.2 μg·kg-1load dose,then micro pump injection 0.2 μg·kg-1·min-1 maintenance dose,until 30 min before the end of the operation;patients in the treatment group were intravenously injected with parecoxib sodium injection 20 mg before local anesthesia and 30 min before the end of operation on the basis of the control group.The pain,sedation,hemodynamics[mean arterial pressure(MAP),heart rate(HR)],cognitive function and safety evaluation were compared between the two groups before operation(T0),2 h after operation(T1),6 h after operation(T2),12 h after operation(T3)and 24 h after operation(T4).Results There were 39 cases in the treatment group and 41 cases in the control group.Visual analogue scale(VAS)scores in treatment group and control group were(3.09±0.55)and(3.41±0.62)scores at T1;VAS scores were(3.02±0.57)and(3.35±0.48)scores at T2;VAS scores were(2.64±0.44)and(2.90±0.46)scores at T3;VAS scores were(2.02±0.41)and(2.35±0.47)scores at T4;MMSE scores were(25.28±1.57)and(24.33±1.42)scores at T2;MMSE scores were(28.16±1.01)and(27.25±0.89)scores at T4;MoCA scores were(24.63±1.60)and(23.59±1.25)scores at T2;MoCA scores were(27.20±0.97)and(26.48±0.83)scores at T4.There were statistically significant differences in the above indexes between the treatment group and the control group(all P＜0.05).Adverse drug reactions in the treatment group included bradycardia,hypotension,nausea vomiting and hypokalemia;adverse drug reactions in the control group included bradycardia,hypotension and nausea vomiting.The total incidence rates of adverse drug reactions were 12.82％and 9.76％,without statistically significant difference(P＞0.05).Conclusion Compared with using dexmedetomidine alone,parecoxib sodium combined with dexmedetomidine is beneficial for relieving postoperative pain in patients with osteoporotic compression fractures,improving postoperative cognitive function.

Objective To investigate the effect of nobiletin on platelet-activating factor(PAF)metabolism in diabetic rats with renal injury.Methods Totally 72 rats were randomly divided into control group(n=10)and modeling group(n=62).The modeling group rats were induced to develop a diabetic rat model with renal injury and then further divided into the model group,aspirin group(20 mg/kg),and nobiletin low(50 mg/kg),medium(100 mg/kg),and high-dose(200 mg/kg)groups,each with 10 rats.After continuous oral administration for 6 weeks,rat body weight,kidney weight,and kidney index were measured.Histopathological assessments were conducted by using HE,periodic acid-Schiff staining(PAS),Masson staining,and transmission electron microscopy.Blood glucose levels,renal function,inflammatory factors,PAF and its regulatory factors were detected.Expression levels of PAF metabolism-related proteins,PAF-acetylhydrolase(PAFAH),PAF receptor(PAFR),and cholinephosphotransferase 1(CHPT1)in kidney tissues were assessed using Western blotting and immunohistochemistry.Results Following nobiletin intervention,rat body weight increased while kidney weight and kidney index decreased.Improvement in renal tissue pathology was observed,with reduced interstitial fibrosis and thinner basement membrane.Fasting blood glucose and glycated hemoglobin decreased,while fasting insulin showed no significant improvement.Urea nitrogen,blood creatinine,cystatin C,and 24-hour urinary protein excretion were reduced.Levels of interleukin(IL)-1α,IL-6,IL-8,and tumor necrosis factor(TNF-α)were lowered.PAF and its regulatory factors decreased.PAFR and CHPT1 expression decreased,while PAFAH increased.Conclusion Nobiletin can alleviate renal injury in diabetic rats with renal injury,improve kidney function,regulate blood glucose,and mitigate inflammatory response.Its mechanism may be associated with the modulation of platelet-activating factor metabolism.

Objective To build a data integration and sharing platform for healthcare consortiums to improve homogenized management and overall medical service of the regions.Methods The platform was developed with cloud architecture based on Hadoop,which used Java as the main development language and Apache HDFS and Apache MapReduce as the main underlying technologies.There were four core modules involved in the platform for data integration and governance,data resource warehousing,data service support and security docking center.Results The platform developed could be used for data integration and governance of healthcare consortiums,which provided application services for management,clinical diagnosis and treatment and scientific research to make full use of the data of healthcare consortiums.Conclusion The platform developed realizes data resource integration in healthcare consortiums,and contributes to data value release and information sharing and interconnection.[Chinese Medical Equipment Journal,2024,45(4):1-6]

Objective:To investigate the application effect of 3D printed fetal heart model based on ultrasound data combined with case-based learning (CBL) in prenatal ultrasound teaching of complex heart malformations in standardized residency training of ultrasound medicine.Methods:A total of 60 students majoring in ultrasound imaging who received standardized residency training in Ultrasonography Center of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, from September 2020 to August 2022 were enrolled as subjects and divided into experimental group and control group, with 30 students in each group. The students in the experimental group received teaching with 3D printed fetal heart model and CBL teaching, and those in the control group received teaching with hand-painted heart diagram and CBL teaching. The two groups were compared in terms of the score of theoretical examination, the degree of satisfaction with teaching, and the self-rated score of the understanding of each disease before and after teaching, and the correlation of the increase in score with case complexity was also analyzed. MedCalc software was used to perform the t-test and the linear regression analysis. Results:The experimental group had a significantly higher score of theoretical examination than the control group [(85.70±8.70) vs. (71.40±9.50)]. The questionnaire survey showed that the experimental group had better feedbacks than the control group in the aspects such as the degree of satisfaction with teaching ( P<0.05). After the implementation of this teaching model, compared with the control group, the experimental group had significantly higher self-rated scores of the understanding of case 2, case 3, case 4, and case 5 ( P<0.05). The increase in score after teaching was positively correlated with the complexity score of abnormal cases ( R2=0.90, P=0.010; R2=0.94, P=0.010), and the experimental group tended to have a greater regression coefficient. Conclusions:The reasonable application of 3D printed fetal heart model combined with CBL teaching in fetal heart teaching in standardized residency training of ultrasound medicine can help the students to understand and enhance the knowledge of cardiac anatomy, improve the learning experience of fetal echocardiography, and deepen the understanding and awareness of complex congenital heart disease.

Objective To investigate the clinical characteristics and prognosis of pneumococcal meningitis(PM),and drug sensitivity of Streptococcus pneumoniae(SP)isolates in Chinese children.Methods A retrospective analysis was conducted on clinical information,laboratory data,and microbiological data of 160 hospitalized children under 15 years old with PM from January 2019 to December 2020 in 33 tertiary hospitals across the country.Results Among the 160 children with PM,there were 103 males and 57 females.The age ranged from 15 days to 15 years,with 109 cases(68.1% )aged 3 months to under 3 years.SP strains were isolated from 95 cases(59.4% )in cerebrospinal fluid cultures and from 57 cases(35.6% )in blood cultures.The positive rates of SP detection by cerebrospinal fluid metagenomic next-generation sequencing and cerebrospinal fluid SP antigen testing were 40% (35/87)and 27% (21/78),respectively.Fifty-five cases(34.4% )had one or more risk factors for purulent meningitis,113 cases(70.6% )had one or more extra-cranial infectious foci,and 18 cases(11.3% )had underlying diseases.The most common clinical symptoms were fever(147 cases,91.9% ),followed by lethargy(98 cases,61.3% )and vomiting(61 cases,38.1% ).Sixty-nine cases(43.1% )experienced intracranial complications during hospitalization,with subdural effusion and/or empyema being the most common complication[43 cases(26.9% )],followed by hydrocephalus in 24 cases(15.0% ),brain abscess in 23 cases(14.4% ),and cerebral hemorrhage in 8 cases(5.0% ).Subdural effusion and/or empyema and hydrocephalus mainly occurred in children under 1 year old,with rates of 91% (39/43)and 83% (20/24),respectively.SP strains exhibited complete sensitivity to vancomycin(100% ,75/75),linezolid(100% ,56/56),and meropenem(100% ,6/6).High sensitivity rates were also observed for levofloxacin(81% ,22/27),moxifloxacin(82% ,14/17),rifampicin(96% ,25/26),and chloramphenicol(91% ,21/23).However,low sensitivity rates were found for penicillin(16% ,11/68)and clindamycin(6% ,1/17),and SP strains were completely resistant to erythromycin(100% ,31/31).The rates of discharge with cure and improvement were 22.5% (36/160)and 66.2% (106/160),respectively,while 18 cases(11.3% )had adverse outcomes.Conclusions Pediatric PM is more common in children aged 3 months to under 3 years.Intracranial complications are more frequently observed in children under 1 year old.Fever is the most common clinical manifestation of PM,and subdural effusion/emphysema and hydrocephalus are the most frequent complications.Non-culture detection methods for cerebrospinal fluid can improve pathogen detection rates.Adverse outcomes can be noted in more than 10% of PM cases.SP strains are high sensitivity to vancomycin,linezolid,meropenem,levofloxacin,moxifloxacin,rifampicin,and chloramphenicol.[Chinese Journal of Contemporary Pediatrics,2024,26(2):131-138]

Objective To investigate the prevalence of tension-type headache(TTH)in children and adolescents aged 0-19 years globally in 1990-2021,and to provide a basis for the prevention and treatment of TTH.Methods Based on the Global Burden of Disease Study data,the age-standardized prevalence distribution of TTH and its changing trend were analyzed among the children and adolescents aged 0-19 years,with different sexes,age groups,sociodemographic index(SDI)regions and countries/territories.Results The age-standardized prevalence rate(ASPR)of TTH in children and adolescents aged 0-19 globally in 2021 was 17 339.89/100 000,which was increased by 1.73%since 1990.The ASPR in females was slightly higher than that in males(1990:17 707.65/100 000 vs 16 403.78/100 000;2021:17 946.29/100 000 vs 16 763.09/100 000).The ASPR in adolescence was significantly higher than that in school-aged and preschool periods(1990:27 672.04/100 000 vs 10 134.16/100 000;2021:28 239.04/100 000 vs 10 059.39/100 000).Regions with high SDI exhibited a higher ASPR than the other regions,with significant differences in prevalence rates across different countries.From 1990 to 2021,there was a slight increase in global ASPR,with an average annual percentage change(AAPC)of 0.06%.Females experienced a smaller increase than males based on AAPC(0.04%vs 0.07%).There was reduction in ASPR in preschool and school-aged groups,with an AAPC of-0.02%,while there was a significant increase in ASPR in adolescence,with an AAPC of 0.07%.ASPR decreased in regions with low-middle and low levels of SDI,with an AAPC of-0.02%and-0.04%,respectively,while it increased in regions with middle SDI,with an AAPC of 0.24%.Conclusions There is a consistent increase in the ASPR of TTH in children and adolescents aged 0-19 years globally,with significant differences across sexes,age groups,SDI regions and countries/territories.

Humans ; Female ; Deep Learning ; Ovarian Neoplasms/genetics* ; Carcinoma, Ovarian Epithelial/genetics* ; Neural Networks, Computer ; RNA