Objective:To construct an assessment model on the basis of dynamic programming algorithm for medical device,so as to improve the management level for medical devices.Methods:A assessment model for medical device was constructed on the basis of the presupposition,basic ideas,solution steps and algorithm elements of dynamic programming algorithm,and the management of medical devices was transferred and carried out according to the state of the model at the multi-stage when decided problem.A total of 200 used medical devices in clinical application in Zhongshan City People's Hospital from January 2022 to December 2023 were selected.The conventional management method was adopted to manage these medical devices from January to December 2022,and the assessment model(dynamic programming algorithm)on the basis of dynamic programming algorithm for these medical devices was adopted to manage them from January to December 2023.The management level for medical devices,the score for management indicators,the incidences of low risk,medium risk and high risk of adverse event were compared before and after the dynamic programming algorithm was applied,and the difference of the scores of assessing comprehensive business ability of management team was also compared.Results:The standard placement rate,standard recording rate and availability rate of equipment were respectively 85.5%,84.0%and 84.5%after the dynamic programming algorithm was applied,which were higher than those before it was applied,and the failure rate of equipment was 2.5%,which was lower than that before it was applied,and the differences were statistically significant(x2=13.888,12.516,14.240,14.414,P＜0.05).The scores of resource allocation,information basis,technical support and guarantee for operation environment of devices were respectively(92.54±4.69),(93.65±3.65),(94.58±3.65)and(92.47±3.65)after the dynamic programming algorithm was applied,which were higher than these before it was applied,and the differences were statistically significant(t=14.574,18.419,11.438,12.981,P＜0.05).The ratios of the adverse events with low risk,medium risk and high risk were respectively 6%,5%and 2%,which were lower than these before it was applied,and the differences were statistically significant(x2=12.754,12.876,11.348,P＜0.05).The scores of comprehensive business ability of the technical support team,research team,promotion team and auxiliary management team for medical device were respectively(94.56±4.69),(92.65±3.14),(94.69±4.98)and(95.68±4.14)after the dynamic planning algorithm was applied,which were higher than these before it was applied,and the difference was statistically significant(t=12.170,18.682,12.449,18.269,P＜0.05).Conclusion:The application of the assessment model on the basis of dynamic programming algorithm for medical devices in management for medical device can improve the management level for device,and reduce the incidence of adverse events,and enhance the comprehensive business ability of management team for device.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

In order to study the pathogenesis of meningitis in lambs caused by Enterococcus faecalis(E.faecalis),and to elucidate the pathogenesis of meningitis from the circRNA level,E.faecalis(named XJ6)was reintroduced into the host to construct a lamb brain tissue injury model,and then the lamb brain tissues were selected for whole genome transcript sequencing at four time in-tervals(24,48,60 and 72 h).Based on the transcriptomics sequencing results,the differential cir-cRNAs were preliminarily screened,and the accuracy of the transcriptomics data was verified by real-time fluorescence quantification.The results showed that the experiments successfully con-structed the brain tissue injury model of E.faecalis infected lambs,and the GO enrichment analy-sis results showed the most significant 10 cellular components,10 biological processes,and 10 mo-lecular functions.KEGG pathway enrichment results revealed that the genes targeted by differenti-al circRNAs were mainly focused on signaling pathways regulating the neuronal cells,the MAPK signaling pathway,the Rap1 signaling pathway,VDEF signaling pathway,Apelin signaling path-way,vascular smooth muscle contraction,and cancer development.The differentially expressed cir-cRNAs validated by real-time quantitative PCR were completely consistent with the transcriptomic results.Among them,novel_circ_0004872 was identified as a candidate circRNA potentially involved in altering the permeability of the blood-brain barrier in lambs,providing a theoretical ref-erence for exploring the regulatory role of circRNAs in blood-brain barrier function.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

A method for simultaneous determination of 21 kinds of Aconitum alkaloids(ATS)in biological specimens and infused liquor using ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)was developed.The biological samples were pretreated with methanol-acetonitrile(1∶2,V/V)for protein precipitation,while infused liquors were diluted 100-fold with acetonitrile,followed by centrifugation,and filtration by a 0.22-μm membrane.Chromatographic separation was carried out on an EC-C18 column using gradient elution with the mixture of 10 mmol/L ammonium acetate and 0.2%formic acid as mobile phase A and acetonitrile as mobile phase B.With this method,all the analytes were separated within 9.5 min.The samples were detected in positive ESI mode with dynamic multiple reaction monitoring(MRM)and quantified via external standard calibration.The results showed that the concentrations of the analytes in the range of 2-1000 ng/mL had excellent linearity(R2>0.9992)with the peak area.The developed method was successfully used for detection of 21 kinds of aconitum alkaloids,with limits of detection of 0.5-2 ng/mL,quantification limits of 2-6 ng/mL,intra/inter-day precision≤6.0%,spiked recoveries of 89.4%-100.9%,extraction recoveries of 74.2%-104.4%,and matrix effects ranging from-11.1%to 9.2%in blood/urine.The method was applied to detection of 12 samples from 4 fatal aconite poisoning cases,and all 21 kinds of ATS with total alkaloid concentrations of 0.04-4.18 μg/mL in blood and 154.96-422.83 μg/mL in medicinal liquors were detected.Tissue distribution revealed that the order of concentrations from highest to lowest is as follows:urine(157.22 μg/mL)>gastric contents(51.37 μg/mL)>kidney(21.6 μg/g)>whole blood(4.18 μg/mL)>liver(0.03 μg/g).This method showed many advantages such as simple pretreatment,low detection limits,accurate quantification,broad analyte coverage,and superior anti-interference capability in complex matrices,proving ideal for forensic and toxicological analysis of aconitum alkaloids.

The 2024 National Education Work Conference pointed out that at the current juncture of the critical period for achieving the goals and tasks of the 14th Five-Year Plan,the implementation of the Education Powerhouse Construction Plan Outline should be taken as the main line of work,and building first-class disciplines is an crucial task for a higher education powerhouse.In 2022,forensic medicine was officially listed as a first-level discipline under the medical category,presenting an un-precedented historical opportunity for the development of forensic medicine.The forensic medicine dis-cipline of Southern Medical University comprehensively improves the quality of talent cultivation and facilitates the construction of first-class disciplines as its main direction.It aims to initiate and imple-ment a high-level faculty team building plan featuring"combining recruitment and cultivation,inter-disciplinary integration";make vigorous efforts to establish a first-level doctoral program,refine advan-tageous second-level disciplines and research directions;and establish an innovative research platform from a high starting point with deep integration.The discipline adheres to moral cultivation and the Five Domains of Education simultaneous development,to build a high-quality talent joint training model.Guided by the construction of the national legal system and industry needs,the discipline will enhance social service capabilities.The forensic medicine construction in our university will continue to contribute to the rule of law in China and educational power.

Objective To investigate the genetic differences among different populations based on 13 autosomal STR loci in CODIS core.Methods Data of 13 autosomal STR loci(CSF1PO,FGA,THO1,TPOX,vWA,D3S1358,D5S818,D7S820,D8S1179,D13S317,D16S539,D18S51,D21S11)were collected from 95 populations in scientific journals between 1999 and 2021,soursed from the PubMed database,which had been published.Allele frequencies of loci were sorted out and forensic genetic parameters including gene differentiation coefficient(Gst),total heterozygosity(Ht),subpopula-tion heterozygosity(Hs)values,and Nei's DA genetic distance were calculated.Principal component analysis,phylogenetic tree,and multidimensional scale analysis were conducted to assess population ge-netic structure.Results A total of 265 alleles were detected at the 13 STR loci in these 95 popula-tions.The mean values of Gst,Ht,and Hs were 0.023 247,0.797 915 and 0.779 365.Population genetic analyses reflected significant differences among populations from Asia,Africa and Europe.In Asian populations,there was a certain degree of distinction between mainland and island populations;the Han population showed a certain degree of distinction with surrounding populations in mainland;while within the Han population,there were two distinct clusters formed by the northern Han and the south-ern Han.Conclusion The 13 autosomal STR loci in CODIS core demonstrate potential value for popu-lation identification across different groups,and may be used for the differentiation of ethnic groups,among different continental populations.

Objective:To investigate the effects of propionic acid produced by Akkermansia muciniphila on the radiosensitivity of colorectal cancer and the underlying mechanism. Methods:Normal human colon mucosal epithelial cells (NCM460) were used to determine the appropriate concentration of propionic acid. Human colorectal cancer cells (HCT-8) were treated with A. muciniphila-conditioned medium or propionic acid, followed by exposure to 6 Gy γ-ray irradiation, and cell survival and proliferation were measured by clone formation assay and Cell Counting Kit-8 (CCK-8) assay, respectively. A mouse model of colorectal cancer was established using azoxymethane/dextran sodium sulfate. The mice were divided into control model group, irradiation group, and irradiation+ propionic acid group. Their body weight, colorectal length, tumor count, and tumor area were recorded. The radiosensitizing effect of propionic acid was assessed with HE staining, immunohistochemical staining, and enzyme-linked immunosorbent assay. The mechanism was explored by using RT-PCR and flow cytometry. Results:CCK-8 assay showed that 1-mmol/L propionic acid had no significant effect on the proliferation of NCM460 cells ( P>0.05), which was used for subsequent experiments. Pretreated with A. muciniphila-conditioned medium or propionic acid, the survival and proliferation abilities of irradiated HCT cells were significantly decreased ( t=3.14-34.98, P<0.05). Compared with the irradiation group, the colorectal cancer mice in the irradiation+ propionic acid group showed a significantly longer colorectal length ( t=3.50, P<0.05) and a significantly smaller number of tumors ( t=3.48, P<0.05); the two groups had significantly smaller tumor areas than the control model group ( t=5.97, 7.30, P<0.05). HE staining and immunohistochemical staining showed that propionic acid restored colorectal structure, and decreased Ki67 expression in colorectal tissue ( t=14.50, 3.40, P<0.05). Propionic acid treatment significantly reduced the levels of the inflammatory factors interleukin-6 and tumor necrosis factor-α, as compared with the mice receiving irradiation alone ( t=4.86, 5.06, P<0.05). Irradiation plus propionic acid treatment significantly increased p53 expression and significantly aggravated G 2/M phase block and cell apoptosis ( t=20.35, 13.05, P<0.05). Conclusions:The A. muciniphila metabolite propionic acid plays a sensitizing role in radiation therapy for colorectal cancer by promoting G 2/M phase block and apoptosis in colorectal cancer cells.

Objective:To establish a flow cytometric assay for myeloid-derived suppressor cells (MDSC) in human peripheral whole blood and reference intervals for healthy adults in Shanghai region.Method:A whole blood eight-color and twelve-parameter flow cytometric assay was designed, utilizing fluorescently labeled antibodies against CD45, CD3, CD19, CD123, CD56, CD16, HLA-DR, CD33, CD11b, CD14, CD15 and CD20.A total of 246 healthy participants who met the health standards from the health check-ups conducted at the Tongji University Affiliated Shanghai East Hospital between May 8 to December 2, 2024 were enrolled. Peripheral venous whole blood was collected using EDTA-K 2 anticoagulant vacuum tubes for MDSC detection. A single-platform flow cytometry based relative count technique was used to quantify the percentage of each MDSC subpopulation. Kolmogorov Smirnov (K-S) test was used to test the distribution of specimens. Mann-Whitney U test and Kruskal-Wallis (K-W) test were used to evaluate whether reference intervals should be established separately based on gender or age. According to the clinical significance of MDSC, bilateral reference intervals were taken. Non parametric methods were used to take the percentile P2.5 and P97.5 to represent the rank of the lower and upper reference limits, respectively. Results:The results showed that a gating strategy was designed to exclude granulocytes, lymphocyte lineage cells, and natural killer cells. The K-S test results showed that the MDSC in each group of healthy individuals were distributed in a skewed manner. The U test showed significant gender differences ( P0.05) in the distribution of total myeloid-derived suppressor cells (T-MDSC) and polymorphonuclear myeloid-derived suppressor cells (PMN-MDSC). The K-W test showed no significant differences in MDSC among different age groups (21-30 years old, 30-40 years old, 40-50 years old, and 50-60 years old). T-MDSC reference interval is 0.056%-0.485%, PMN-MDSC reference interval is 0.035%-0.406%, Monocytic myeloid-derived suppressor cells (M-MDSC) reference interval is 0.000%-0.221%, early-stage myeloid-derived suppressor cells (E-MDSC) reference interval is 0.004%-0.125%. Reference interval verification was conducted on 20 healthy individuals, with a pass rate of 100%. Conclusion:A whole blood eight-color and twelve-parameter flow cytometric assay was established in this experiment. Based on the flow cytometry single platform method, reference intervals for healthy adults in Shanghai region were established.