ObjectiveTo explore the mechanism by which Sini San （SNS） inhibits ferroptosis， alleviates inflammation and myocardial injury， and improves myocardial infarction （MI）. MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， its target sites were predicted using the SwissTargetPrediction Database， and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards， Online Mendelian Inheritance in Man （OMIM） database， DrugBank， Therapeutic Target Database （TTD）， FerrDb database and literature review， respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction （PPI） network was constructed using the STRING database， and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in， and the biological functions were clustered by the MCODE plug-in. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group， the model group， the SNS group， and the trimetazidine （TMZ） group. The mice were subcutaneously injected with isoprenaline （ISO， 5 mg·kg^-1·d^-1） to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram （ECG）， and the tissue morphology changes were observed by hematoxylin-eosin （HE） staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， reduced glutathione （GSH）， and malondialdehyde （MDA） levels were detected by biochemical assay. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of interleukin （IL）-6 and 4-hydroxynonenal （4-HNE）. Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 （p-STAT3） in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6， IL-18， solute carrier family 7 member 11 （SLC7A11）， arachidonic acid 15-lipoxygenase （ALOX15）， and glutathione peroxidase 4 （GPx4） in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained， and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation， and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 （P0.01）， down-regulated the expression of ALOX15 mRNA （P0.01）， up-regulated the level of serum GSH， and the expressions of SLC7A11 and GPx4 mRNA， reduced MDA and 4-HNE levels （P0.05， P0.01）. Additionally， SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis， reduced the area of MI， alleviated inflammation and myocardial injury， lowered the levels of serum CK， CK-MB， LDH， IL-6， and the mRNA expression levels of IL-16 and IL-18 （P0.05）， and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels， inhibit ferroptosis in cardiomyocytes， alleviate inflammation and myocardial injury， thereby improving MI.

ObjectiveTo explore the mechanism by which Sini San （SNS） inhibits ferroptosis， alleviates inflammation and myocardial injury， and improves myocardial infarction （MI）. MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， its target sites were predicted using the SwissTargetPrediction Database， and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards， Online Mendelian Inheritance in Man （OMIM） database， DrugBank， Therapeutic Target Database （TTD）， FerrDb database and literature review， respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction （PPI） network was constructed using the STRING database， and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in， and the biological functions were clustered by the MCODE plug-in. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group， the model group， the SNS group， and the trimetazidine （TMZ） group. The mice were subcutaneously injected with isoprenaline （ISO， 5 mg·kg^-1·d^-1） to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram （ECG）， and the tissue morphology changes were observed by hematoxylin-eosin （HE） staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， reduced glutathione （GSH）， and malondialdehyde （MDA） levels were detected by biochemical assay. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of interleukin （IL）-6 and 4-hydroxynonenal （4-HNE）. Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 （p-STAT3） in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6， IL-18， solute carrier family 7 member 11 （SLC7A11）， arachidonic acid 15-lipoxygenase （ALOX15）， and glutathione peroxidase 4 （GPx4） in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained， and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation， and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 （P0.01）， down-regulated the expression of ALOX15 mRNA （P0.01）， up-regulated the level of serum GSH， and the expressions of SLC7A11 and GPx4 mRNA， reduced MDA and 4-HNE levels （P0.05， P0.01）. Additionally， SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis， reduced the area of MI， alleviated inflammation and myocardial injury， lowered the levels of serum CK， CK-MB， LDH， IL-6， and the mRNA expression levels of IL-16 and IL-18 （P0.05）， and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels， inhibit ferroptosis in cardiomyocytes， alleviate inflammation and myocardial injury， thereby improving MI.

The eIF3i gene was amplified from lamb testicular(LT)cells by PCR and cloned into pCold vector to construct the pCold-eIF3i plasmid.Plasmid PCR,double enzyme digestion and se-quencing were used to verify the results.The recombinant eIF3i protein was induced under the op-timized expression conditions.The expression and reactogenicity of the target protein were detected by SDS-PAGE and Western blot.New Zealand white rabbits were immunized with purified recom-binant eIF3i protein combined with Freund's complete and incomplete adjuvants for three times.Se-rum samples were collected after immunization.Indirect ELISA was used to detect antiserum titer,and Western blot was used to analyze antibody specificity.Indirect immunofluorescence assay(IFA)was used to detect the application effect of antibodies.The results showed that the size of LT eIF3i gene was 978 bp.The optimal expression conditions for the eIF3i recombinant protein were as follows:IPTG concentration of 0.2 mmol/L,temperature of 37 ℃,and induction time of 8 h.The recombinant eIF3i protein was expressed as an inclusion body with a size of about 36 kDa.The titer of polyclonal antibody against eIF3i protein was 1∶51 200.Western blot and IFA showed that the prepared polyclonal antibody against eIF3i protein had good reactivity and specificity.In conclusion,we successfully prepared rabbit anti-eif3i polyclonal antibody and confirmed that it could specifically recognize endogenous eIF3i protein,which laid a foundation for further study on the biological function of eIF3i protein.

This study aims to establish a convenient,new and visual detection method for the field diagnosis of Pasteurella multocida(Pm).With reference to the Pm kmt1 gene conserved sequence published in GenBank,PCR amplification primers were designed,the amplified kmt1 gene was cloned into pMD19-T vector,and the recombinant plasmid standard pMD19-T-kmt 1 was estab-lished and identified by PCR and sequencing.Using pMD1 9-T-kmt 1 plasmid as template and kmt1 gene as target gene,basic primers were designed and synthesized.According to the requirements of LFD,a probe(Pm-P)was designed,and the RPA-LFD method for Pm detection was established by optimizing the reaction conditions.Specificity and sensitivity tests were carried out,and 64 clini-cal samples were tested by the method.The results showed that the established Pm RPA-LFD method could be amplified at 37 ℃ for 15 min.Escherichia coli(E.coli),Salmonella enteriditis(SE),Riemerella anatipestifer(RA),Staphylococcus,goose parvovirus(GPV),duck plague virus(DPV),Muscovy duck parvovirus(MDPV)DNA was extracted as the template,and plasmid standard pMD19-T-kmt 1 was used as the positive control.All the positive controls were negative,indicating that the method had good specificity.The plasmid standard pMD1 9-T-kmt 1 was diluted with a 10-fold ratio,and the plasmid standard with a concentration of 107-100 copies/μL was used as the template.The sensitivity was 1.50×101 copies/μ,,which was 100 times higher than that of PCR.A total of 64 clinical samples with suspected RA were subjected to testing using PCR,RPA and LAMP-LFD,with a 100％compliance rate for all three detection tests.The results show that the established RPA-LFD method has the characteristics of strong specificity,high sensitivity,fast speed and visualization,and can be applied to the field detection of Pm.

OBJECTIVE To explore the clinical distribution and drug resistance of common species of pathogens iso-lated from a three-A hospital of Guangzhou from Jan.2017 to 2023 Dec.so as to provide bases for clinical diagno-sis and reasonable use of antibiotics.METHODS A total of 10,086 strains of aerobic bacteria were clinically isola-ted from the patients who were hospitalized in a three-A hospital of Guangzhou from 2017 to 2023.The constituent ratios of the common species of pathogens,specimen sources,distribution of departments and drug resistance rates to commonly used antibiotics were retrospectively analyzed.RESULTS Totally 10,086 strains of pathogens were isolated from the specimens of the hospitalized patients from 2017 to 2023.Klebsiella pneumoniae,Pseudo-monas aeruginosa,Escherichia coli,Acinetobacter baumannii and Staphylococcus aureus ranked the top 5 species of pathogens.The sputum,midstream urine and whole blood were the major specimen sources.The hospital-asso-ciated infection was highly prevalent in critical care medicine department,neurology department,geriatrics depart-ment,neurosurgery department and urology department.The result of drug resistance showed that the drug re-sistance rates of the K.pneumoniae and P.aeruginosa strains to various types of antibiotics showed upward trends(P＜0.05);the drug resistance rate of the A.baumannii strains to imipenem was decreased,while the drug resist-ance rates to most of the antibiotics were more than 45％.No gram-positive cocci strains that were resistant to vancomycin,teicoplanin or linezolid were found.CONCLUSIONS The common clinical isolates of pathogens are generally resistant to antibiotics.It is necessary for clinicians to attach great importance to the culture of pathogens and drug susceptibility testing and reasonably use antibiotics based on the result of drug susceptibility testing so as to reduce the occurrence and spread of drug-resistant strains.The hospital should strengthen the surveillance of drug resistance of bacteria so as to boost the clinical curative effect,standardize the management and use of antibi-otics and take effective measures to control of the hospital-associated infection.

18F-deoxyglucose(FDG)PET/CT has been widely used in the diagnosis,efficacy evaluation,and prognosis prediction of lung tumor.In recent years,artificial intelligence has shown increasing capabilities in the analysis and processing of medical images and has influenced various aspects of molecular imaging,at the same time,radiomics analysis based on artificial intelligence has received great attention in recent years.This article reviews the latest research progress of artificial intelligence in optimizing 18F-FDG PET/CT lung tumor images,explores the new developments and challenges of artificial intelligence in image acquisition,reconstruction,segmentation,denoise,radiomics,etc.,and looks forward to its future applications in lung tumor.

18F-deoxyglucose(FDG)PET/CT has been widely used in the diagnosis,efficacy evaluation,and prognosis prediction of lung tumor.In recent years,artificial intelligence has shown increasing capabilities in the analysis and processing of medical images and has influenced various aspects of molecular imaging,at the same time,radiomics analysis based on artificial intelligence has received great attention in recent years.This article reviews the latest research progress of artificial intelligence in optimizing 18F-FDG PET/CT lung tumor images,explores the new developments and challenges of artificial intelligence in image acquisition,reconstruction,segmentation,denoise,radiomics,etc.,and looks forward to its future applications in lung tumor.

The eIF3i gene was amplified from lamb testicular(LT)cells by PCR and cloned into pCold vector to construct the pCold-eIF3i plasmid.Plasmid PCR,double enzyme digestion and se-quencing were used to verify the results.The recombinant eIF3i protein was induced under the op-timized expression conditions.The expression and reactogenicity of the target protein were detected by SDS-PAGE and Western blot.New Zealand white rabbits were immunized with purified recom-binant eIF3i protein combined with Freund's complete and incomplete adjuvants for three times.Se-rum samples were collected after immunization.Indirect ELISA was used to detect antiserum titer,and Western blot was used to analyze antibody specificity.Indirect immunofluorescence assay(IFA)was used to detect the application effect of antibodies.The results showed that the size of LT eIF3i gene was 978 bp.The optimal expression conditions for the eIF3i recombinant protein were as follows:IPTG concentration of 0.2 mmol/L,temperature of 37 ℃,and induction time of 8 h.The recombinant eIF3i protein was expressed as an inclusion body with a size of about 36 kDa.The titer of polyclonal antibody against eIF3i protein was 1∶51 200.Western blot and IFA showed that the prepared polyclonal antibody against eIF3i protein had good reactivity and specificity.In conclusion,we successfully prepared rabbit anti-eif3i polyclonal antibody and confirmed that it could specifically recognize endogenous eIF3i protein,which laid a foundation for further study on the biological function of eIF3i protein.

Objective:To investigate the relationship between artificial radionuclide 137Cs and stable cesium (Cs) in wild edible fungi and seek potential correlations. Methods:A total of 30 samples, including the caps (with gills) and stipes of wild edible fungi, were collected from the northeastern region of China. The measurement and analysis of 137Cs were conducted following recommended procedures in GB/T 16145-2022, and stable Cs was determined using inductively coupled plasma mass spectrometry (ICP-MS). Then, the correlation analysis of data on 137Cs and stable Cs was performed using SPSS 11.5 software, and scatter plots were prepared using the Origin 21.0 software. Results:The fungi caps exhibited a specific activity of 137Cs ranging from 0.52 to 55.9 Bq/kg (dry weight) and a stable Cs content from 0.069 mg/kg to 16.2 mg/kg (dry weight). The stipes showed a specific activity of 137Cs ranging from 0.53 Bq/kg to 101 Bq/kg (dry weight) and a stable Cs content from 0.075 to 11.5 mg/kg (dry weight). These data revealed a significant correlation between the specific activity of 137Cs and the stable cesium content in all samples including caps and stipes, with correlation coefficients r of 0.956, 0.912, and 0.931, respectively, and all significant levels P < 0.01. The ratios of the specific activity of 137Cs to stable Cs content varied from 2.09 Bq/kg to 20.1 Bq/kg (dry weight), with an average of 10.7 Bq/kg (dry weight). Conclusions:Wild edible fungi fail to distinguish between 137Cs and stable cesium when absorbing Cs elements from their growing substrates. Furthermore, there is a strong correlation between the specific activity of 137Cs and stable Cs content. In the case of exogenous 137Cs contamination, the ratio of the specific activity of 137Cs and stable Cs content will significantly change. Therefore, an increase in the ratio can be used as a reference for identifying 137Cs contamination events.

Objective:To explore the applicability of critical statistical measures Z, Z′, Zeta ( ζ), and En value in comparative capability assessments by analyzing the data from nationwide radiological health technology institutions from 2020 to 2023, aiming to provide a reference for further improving China′s comparative assessment method for verifying the γ-ray spectroscopy capability of radionuclides. Methods:Based on the nationwide analysis and comparison of γ-ray spectroscopy of radionuclides conducted annually by the National Institute for Radiological Protection, China CDC, the deviations between laboratory result and reference values were determined using the above-mentioned four statistical measures. Finally, the qualification rates of the γ-ray spectroscopy result from relevant institutions were assessed and analyzed.Results:The result indicate that the qualification rates of the Z value exceeded 85%, which might be inaccurate in some cases since it ignored the limitation of uncertainty. In contrast, the Z′ value yielded more scientific and representative result because it considered the uncertainty of reference values, and the inter-laboratory comparison qualification rate is above 95%. In the case of low uncertainty of the γ-ray spectroscopy result, the Zeta ( ζ) or En ratio exhibited relatively high sensitivity and, accordingly, relatively low qualification rates, indicating that this ratio may not comprehensively reflect the interlaboratory comparison result. Conclusions:The Z, Z′, Zeta ( ζ), and En values demonstrate their own advantages and limitations in assessing the capability of the γ-ray spectroscopy of radionuclides. For comparison projects involving multiple laboratories and complex measurement conditions, such as the nationwide verification of the capabilities of the γ-ray spectroscopy of radionuclides, it is feasible to combine the Z′ value with the Zeta ( ζ) or En ratio, with the former and the latter used to determine the qualified and excellent capability result, respectively. This enables the comprehensive assessment of the measurement and analysis capabilities of the γ-ray spectroscopy laboratories of radiological health technology institutions in China.