Liver injury due to acetaminophen overdose is one of the main causes of acute liver failure， with a complex pathogenesis. In this process， liver sinusoidal endothelial cell （LSEC） injury is a key early event jointly mediated by factors such as oxidative stress， cell apoptosis， and imbalance between fibrinolysis and coagulation. Subsequent LSEC dysfunction further induces sinusoidal microcirculatory disturbances， amplifies the inflammatory response， impairs the regeneration and repair abilities of the liver， and finally causes hepatocyte necrosis. This article systematically elaborates on the critical role and molecular mechanism of LSEC in acetaminophen-induced liver injury， in order to provide a theoretical basis for novel therapeutic strategies and research directions.

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.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

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.

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.

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.

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.