Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective To construct a nomogram prediction model for symptomatic intracerebral hemorrhage(sICH)in elderly patients with cerebral infarction after intravenous thrombolysis based on systemic inflammatory indicators.Methods A retrospective study was conducted on 355 elderly patients with cerebral infarction who received intravenous thrombolysis with recombinant tissue plasminogen activator(rt-PA)in Tsinghua University Hospital from January 2019 to June 2024.They were randomly assigned into a modeling group(249 cases)and a validation group(106 cases)in a 7∶3 ratio.The modeling group was further divided into an sICH subgroup(24 cases)and a non-sICH subgroup(225 cases)based on sICH occurrence after intravenous thrombolysis.The general information and levels of systemic inflammatory indicators were compared between the sICH subgroup and the non-sICH subgroup.Logistic regression was used to identify the influ-encing factors for sICH,and then a nomogram prediction model was constructed.The predictive performance of the model was evaluated through ROC curve and calibration curve analyses,and then the data of the validation group were used for validation.Results The sICH subgroup had significantly larger proportions of atrial fibrillation(AF)and leukoaraiosis at admission,higher baseline NIHSS score,increased neutrophil to lymphocyte ratio(NLR),platelet to lymphocyte ra-tio(PLR),and C-reactive protein(CRP)level,but lower lymphocyte to monocyte ratio(LMR)when compared with the non-sICH subgroup(P＜0.05,P＜0.01).ROC curve analysis showed that the AUC value of NIHSS score,NLR,LMR,PLR,and CRP in predicting sICH occurrence in stroke patients after intravenous thrombolysis was 0.796,0.638,0.695,0.725,and 0.686,respec-tively(P＜0.05,P＜0.01).Logistic regression analysis indicated that systemic inflammatory indi-cators NLR,LMR,PLR,CRP level,AF,baseline NIHSS score,and leukoaraiosis at admission were all influencing factors for the occurrence of sICH in these patients(P＜0.05,P＜0.01).The consistency index of the nomogram prediction model based on systemic inflammatory indicators and other factors in predicting the occurrence of sICH was 0.951(95％CI:0.918-0.985),and the calibration curve tended to the ideal curve.The AUC value of the model for the occurrence of sICH in the validation group was 0.980(95％CI:0.956-1.000).Conclusion Our nomogram pre-diction model based on systemic inflammatory indicators NLR,LMR,PLR,CRP,and other major variables has good predictive performance for the occurrence of sICH in elderly patients with cere-bral infarction after rt-PA intravenous thrombolysis.

BACKGROUND:Mitophagy is closely associated with the development of idiopathic pulmonary fibrosis,but its mechanism remains unclear.OBJECTIVE:To investigate the biological mechanism of mitophagy in idiopathic pulmonary fibrosis and provide ideas for the risk prediction of idiopathic pulmonary fibrosis and subtype differentiation.METHODS:The mitophagy-related genes in idiopathic pulmonary fibrosis were obtained through GEO and Reactome Pathway databases.The mitophagy-related characteristic genes in idiopathic pulmonary fibrosis were screened based on intergroup differences and random forest model.GO functional enrichment analysis and KEGG,Reactome with WIKI pathway enrichment analyses were performed by g:Profiler database.Mitophagy subtypes in idiopathic pulmonary fibrosis were distinguished by consensus clustering method and immune infiltration analysis was performed.The mitophagy-related key gene was screened.Finally,the predictive value of mitophagy-related key gene for the risk of idiopathic pulmonary fibrosis was quantified by alignment diagram and the correlation between mitophagy-related key gene and clinical characteristics of idiopathic pulmonary fibrosis was explored.RESULTS AND CONCLUSION:(1)A total of 13 genes related to mitophagy in idiopathic pulmonary fibrosis were identified and 5 characteristic genes were screened,containing PINK1,RPS27A,SRC,HIF1A,and CDH6.(2)GO analysis was mainly involved in ubiquitin protein ligase binding,and cellular response to hypoxia.Pathway enrichment analysis was mainly involved in PINK1-PRKN mediated mitophagy,NOTCH signaling pathway,signaling by EGFR and angiogenesis.(3)HIF1A had significant expression differences between subtypes,which might serve as a key gene for the differentiation of mitophagy subtypes of idiopathic pulmonary fibrosis.(4)Immune infiltration analysis suggested that myeloid-derived suppressor cell,neutrophil and type 1 T helper cell might have infiltration differences between subtypes,while HIF1A was positively correlated with multiple immune cells.(5)Alignment diagram suggested that the risk of idiopathic pulmonary fibrosis might be predicted by the expression level of HIF1A.(6)Clinical characteristics analysis indicated patients with high expression of HIF1A might have poorer lung function and more severe fibrosis.It is concluded that PINK1,RPS27A,SRC,HIF1A,and CDH6 may influence the development of idiopathic pulmonary fibrosis through mitophagy,in which HIF1A may serve as a key gene for risk prediction with clinical subtype differentiation and HIF1A is strongly associated with the lung function of patients.

This study identified the types and pathogen carrying status of fleas on the surface of sheep in some areas of southern Xinjiang,and analyzed the genetic evolution differences with respect to related pathogens.The aim was to provide a reference for the local prevention and control of fleas and insect borne infectious diseases.A total of 1 586 fleas were collected from agricultural and pas-toral areas of Tumushuke City and Hotan Prefecture.Flea species were identified on the basis of morphology and the Pulex irritans mi-tochondrial COII gene.Flea DNA was extracted,and PCR was conducted to amplify the Bartonella gltA gene;Arsenophonus,Ana-plasma,Ehrlichia,and Wolbachia 16S rRNA genes;RickettsiaOmpA,17kDa,16S rRNA genes,and Yersinia pestis 16S rDNA gene.The amplified products were sequenced,and the homology of the genes of the three detected pathogens(gltA gene of Bartonella,16S rRNA gene of Wolbachia,and Anaplasma phagocytophilum)with respect to known corresponding genes of the same pathogen in Gen-Bank was analyzed.Phylogenetic trees were constructed with the adjacency method in MEGA 11.0.According to morphological and mo-lecular biology identification results,all fleas collected in this study were Pulex irritans.PCR indicated that the target gene fragments had been added to the mitochondrial COII,BartonellagltA,Wolbachia,and autophagosomal 16S rRNA genes of human fleas,all of which were consistent with the expected fragment sizes.Target bands were not amplified from Ehrlichia,Arsenophonus,spotted fever group Rickettsia,and Yersinia pestis.According to homology and genetic evolution analysis of human flea mitochondrial COII and the corresponding genes of the above-described pathogens,the COX2 gene(ON455234.1)of human fleas in Tumushuke city and Iran ob-tained in this study showed the highest homology(99.84%).The COII gene(NC_063709.1)of human fleas in Hetan City and Hunan region showed the highest homology(100%).Our findings further confirmed that the flea species was Pulex irritans.The PCR amplifi-cation results indicated that the collected Pulex irritans carried multiple pathogens,among which Bartonella and Wolbachia had the highest infection rates,and the infection rate with Anaplasma phagocytophilum was relatively low.This study is the first to discover flea species on the surface of sheep in some areas of southern Xinjiang.Our findings preliminarily confirmed that Bartonella,Wolba-chia,and Anaplasma phagocytophilum are the main Pulex irritans pathogens.

Lead is a ubiquitous toxic heavy metal and one of the earliest and most widely used heavy metal elements in human history.Due to its non-degradable nature in the environment and its long biological accumulation effects(lasting up to 30?50 years)in the human body,even trace amounts of lead can cause significant health damage.It has therefore been classified as one of the top ten public health concerns by the World Health Organization(WHO).Once absorbed into the body,lead is typically distributed in tissues such as the brain,liver,kidneys,teeth,and bones,thereby exerting widespread toxic effects on multiple organ systems.Epigenetics is the study of heritable changes in gene expression that occur without alterations in the nucleotide sequence.It reveals how modifications in gene expression regulate cellular functions,leading to diverse cellular phenotypes and functions despite identical DNA sequences.Although the toxic mechanisms of lead are not yet fully elucidated,recent studies suggest that epigenetic regulation may play a significant role in mediating lead toxicity.Environmental lead exposure can induce various epigenetic modifications in cells,such as DNA methylation,histone modifications,and microRNA(miRNA)alterations,which,in turn,can trigger multiple toxic responses.This paper presents a concise overview of current epigenetic investigations into lead toxicity,emphasizing DNA methylation,histone modifications,and miRNA dynamics.By adopting an epigenetic perspective,it offers a theoretical framework into understanding lead's toxic mechanisms comprehensively,facilitating further research in prevention and treatment strategies.

Objective:To evaluate the relationship between the mechanism of buprenorphine in attenuating neuroinflammation in microglia and the MAM domain-containing glycosylphosphatidylinositol anchor gene 1 ( MDGA1). Methods:The human microglial cell line HMC-3 was cultured in vitro and divided into 4 groups ( n=6 each) using a table of random numbers: control group (Con group), lipopolysaccharide(LPS)group, buprenorphine + LPS group (Bup+ LPS group) and buprenorphine + LPS + MDGA1 knockdown group (Bup+ LPS+ shMDGA1 group). LPS group was incubated with LPS at a final concentration of 1 μg/ml for 4 h. Bup+ LPS group was incubated with buprenorphine at a final concentration of 100 ng/ml for 1 h, followed by incubation with LPS at a final concentration of 1 μg/ml for 4 h. Bup+ LPS+ shMDGA1 group was transfected with MDGA1-specific shorthairpin RNA for knockdown, and the remaining treatment was similar to those previously described in Bup+ LPS group. The expression of MDGA1 in microglia was detected using real-time quantitative polymerase chain reaction, and the concentrations of interleukin (IL)-6, IL-1β, tumor necrosis factor-α (TNF-α), and inducible nitric oxide synthase (iNOS) in the supernatant were measured using enzyme-linked immunosorbent assay. Results:Compared with Con group, the concentrations of IL-6, IL-1β, TNF-α and iNOS in the supernatant were significantly increased, and the expression of MDGA1 in microglia was down-regulated in LPS group ( P<0.05). Compared with LPS group, the concentrations of IL-6, IL-1β, TNF-α and iNOS in the supernatant were significantly decreased, and the expression of MDGA1 in microglia was up-regulated in Bup+ LPS group ( P<0.05). Compared with Bup+ LPS group, the concentrations of IL-6, IL-1β, TNF-α and iNOS in the supernatant were significantly increased, and the expression of MDGA1 in microglia was down-regulated in Bup+ LPS+ sh MDGA1 group ( P<0.05). Conclusions:The mechanism by which buprenorphine alleviates neuroinflammation in microglia may be related to the up-regulation of the expression of MDGA1.

Lead is a ubiquitous toxic heavy metal and one of the earliest and most widely used heavy metal elements in human history.Due to its non-degradable nature in the environment and its long biological accumulation effects(lasting up to 30?50 years)in the human body,even trace amounts of lead can cause significant health damage.It has therefore been classified as one of the top ten public health concerns by the World Health Organization(WHO).Once absorbed into the body,lead is typically distributed in tissues such as the brain,liver,kidneys,teeth,and bones,thereby exerting widespread toxic effects on multiple organ systems.Epigenetics is the study of heritable changes in gene expression that occur without alterations in the nucleotide sequence.It reveals how modifications in gene expression regulate cellular functions,leading to diverse cellular phenotypes and functions despite identical DNA sequences.Although the toxic mechanisms of lead are not yet fully elucidated,recent studies suggest that epigenetic regulation may play a significant role in mediating lead toxicity.Environmental lead exposure can induce various epigenetic modifications in cells,such as DNA methylation,histone modifications,and microRNA(miRNA)alterations,which,in turn,can trigger multiple toxic responses.This paper presents a concise overview of current epigenetic investigations into lead toxicity,emphasizing DNA methylation,histone modifications,and miRNA dynamics.By adopting an epigenetic perspective,it offers a theoretical framework into understanding lead's toxic mechanisms comprehensively,facilitating further research in prevention and treatment strategies.

Objective:To establish a GC method for the determination of related substances in myristyl alcohol.Methods:Use a column packed with polyethylene glycol as the stationary phase(HP-INNOWAX,0.25 mm×30 m,0.25 μm).Maintain the column temperature at 90℃,raise the temperature to 180℃by 5℃per minutes,maintain for 25 minutes.The temperatures of injection port is 270℃.The temperatures of detector is 280℃.Cal-culate the content by normalization method.Result:Lauryl alcohol,myristyl alcohol,pentadecanol,cetyl alcohol,stearyl alcohol and oleyl alcohol showed good linear relationships within the ranges of 6.2-123.8,4.2-134.2,5.2-104.2,4.5-90.3,4.8-96.0,4.8-95.2 μg·mL-1,respectively,with the correlation coefficient above 0.999 8.The limit of detection of aforementioned fatty alcohols were 0.2,0.2,0.2,0.3,0.5 and 0.5 μg·mL-1,which were more sensitive than the method in USP monotherapy Myristyl Alcohol.The content of lauryl alcohol was 0.2%-0.6%and that of cetyl alcohol was 0.1%-0.9%in 5 batches of samples.Sum of re-lated fatty alcohols and unspecified impurities was 0.7%-2.5%.Conclusion:The method established in this study has good separation effect,high specificity and high sensitivity,and solved the problem of difficult identifica-tion of related fatty alcohols caused by high noise at the baseline of the method in USP monotherapy myristyl alco-hol.It can be used for the the determination of related substances in myristyl alcohol.It also provides reference and guidance for the quality management and control of other fatty alcohols.

To investigate the prevalence of influenza D virus(IDV)in cattle and swine populations in Jilin Province,China,277 nasopharyngeal swabs were collected from livestock exhibiting influ-enza-like symptoms for IDV detection.Virus isolation was performed using swine testicular(ST)cells for PCR-positive samples,followed by comprehensive analyses including whole-genome se-quencing,phylogenetic analysis,electron microscopic observation of viral morphology,and glycosy-lation site prediction.Two IDV strains were successfully isolated from bovine samples,designated as D/bovine/China/JL22/2024(JL22)and D/bovine/China/JL34/2024(JL34).These strains were demonstrated to have specific hemagglutination activity against turkey red blood cells,while no he-magglutination to chicken,rabbit,or guinea pig erythrocytes.Virus-inoculated ST cells exhibited distinct cytopathic effects(CPE)within 48 h,with a hemagglutination titer of 4 log2 in the culture supernatant.Phylogenetic analysis of the hemagglutinin-esterase-fusion(HEF)gene indicated that these strains were most closely related to the Japanese isolate D/Yamagata2019,belonging to the YAMA2019 lineage.Genomic sequence analysis showed the absence of genetic reassortment in these isolates.In this study,two IDV strains were successfully isolated and characterized,which provides preliminary insights into their genomic sequences and biological properties.The findings confirm the presence of IDV in bovine populations in Jilin Province and provide the fundamental data for future epidemiological surveillance and control strategies of IDV.