Aim To explore the relationship between serum levels of proprotein convertase subtilisin/kexin type 9(PCSK9),macrophage migration inhibitory factor(MIF)and the severity of coronary artery lesions in patients with coro-nary heart disease(CHD).Methods A cross-sectional study was conducted involving 139 patients with CHD and 69 control subjects who underwent coronary angiography during the same period,all of whom were admitted to the People's Hospital of Xinjiang Uygur Autonomous Region from November 2023 to May 2024.Clinical data and coronary angiography results were collected,and the severity of coronary artery stenosis was quantitatively assessed using the Gensini score.Pa-tients with the Gensini scores＞0 were classified into three groups based on tertiles:the mild stenosis group(1～18 points,54 cases),the moderate stenosis group(19～36 points,54 cases),and the severe stenosis group(＞36 points,54 ca-ses).Serum levels of PCSK9 and MIF were measured by ELISA kit.Results Serum levels of PCSK9 and MIF were significantly higher in the CHD group than those in the control group(P＜0.05).Multivariable Logistic regression analy-sis revealed that high levels of serum PCSK9 and MIF were independent risk factors for CHD.Spearman correlation analy-sis showed that serum PCSK9 and MIF levels were positively correlated with Gensini score(rs=0.619 6 and r,=0.411 4,both P＜0.001).Further subgroup analysis showed that serum total cholesterol and low density lipoprotein cholesterol lev-els were significantly increased in patients with high-level PCSK9,while patients with high-level MIF had higher inflamma-tory coefficients such as systemic inflammatory response index(SIRI)and systemic immune-inflammation index(SII)(all P＜0.05).Conclusion Serum levels of PCSK9 and MIF are positively correlated with the severity of coronary artery stenosis.High levels of serum PCSK9 and MIF are independent risk factors for CHD.

Objectives:This study aims to evaluate the causal relationship between plasma proteins and myocardial infarction(MI)using two-sample bidirectional Mendelian randomization(MR)analysis,identify key biomarkers,and validate their expression.Methods:The study utilized publicly available genome-wide association study(GWAS)data of 4 907 plasma proteins as the exposure factor,with single nucleotide polymorphisms(SNPs)as instrumental variables,and four MI datasets as outcomes.Two-sample MR analysis was performed using the inverse variance weighted(IVW)method,complemented by simple model,weighted model,weighted median estimator(WME),and MR-Egger regression methods to assess the causal relationship between exposure factors and outcomes.Venn diagrams and word clouds were used to screen proteins associated with MI as candidate biomarkers.Reverse MR analysis was conducted to evaluate reverse causality.Sensitivity analysis was performed to assess the robustness of the results.Immunohistochemistry(IHC)was used to validate the expression of proteasome activator subunit 1(PSME1)and vacuolar protein sorting 29(VPS29)in the aorta of mice,and enzyme-linked immunosorbent assay(ELISA)was used to verify the expression of PSME1 and VPS29 in plasma from patients with acute myocardial infarction(AMI).Results:The two-sample MR analysis indicated that PSME1 was significantly negatively associated with myocardial infarction in all four datasets,with OR(95%CI)of 0.684(0.557-0.839),0.990(0.987-0.993),0.579(0.448-0.748),and 0.993(0.990-0.996),respectively,with all P<0.001.Similarly,VPS29 also showed a significant negative association with MI in all four datasets,with OR(95%CI)of 0.902(0.862-0.945),0.998(0.997-0.999),0.866(0.808-0.929),and 0.998(0.997-0.999),respectively,with all P<0.001.Reverse MR analysis did not detect reverse causality,and sensitivity analysis confirmed the robustness of the results.IHC results showed significantly reduced expression of PSME1 and VPS29 in the aortas of AMI mice with an atherosclerotic background compared to control mice(both P<0.05).ELISA results indicated significantly lower plasma levels of PSME1 and VPS29 in AMI patients compared to healthy controls(both P<0.05).Conclusions:Higher levels of PSME1 and VPS29 are negatively associated with the risk of MI,suggesting that PSME1 and VPS29 may serve as protective biomarkers for cardiovascular diseases.

Objectives:This study aims to evaluate the causal relationship between plasma proteins and myocardial infarction(MI)using two-sample bidirectional Mendelian randomization(MR)analysis,identify key biomarkers,and validate their expression.Methods:The study utilized publicly available genome-wide association study(GWAS)data of 4 907 plasma proteins as the exposure factor,with single nucleotide polymorphisms(SNPs)as instrumental variables,and four MI datasets as outcomes.Two-sample MR analysis was performed using the inverse variance weighted(IVW)method,complemented by simple model,weighted model,weighted median estimator(WME),and MR-Egger regression methods to assess the causal relationship between exposure factors and outcomes.Venn diagrams and word clouds were used to screen proteins associated with MI as candidate biomarkers.Reverse MR analysis was conducted to evaluate reverse causality.Sensitivity analysis was performed to assess the robustness of the results.Immunohistochemistry(IHC)was used to validate the expression of proteasome activator subunit 1(PSME1)and vacuolar protein sorting 29(VPS29)in the aorta of mice,and enzyme-linked immunosorbent assay(ELISA)was used to verify the expression of PSME1 and VPS29 in plasma from patients with acute myocardial infarction(AMI).Results:The two-sample MR analysis indicated that PSME1 was significantly negatively associated with myocardial infarction in all four datasets,with OR(95%CI)of 0.684(0.557-0.839),0.990(0.987-0.993),0.579(0.448-0.748),and 0.993(0.990-0.996),respectively,with all P<0.001.Similarly,VPS29 also showed a significant negative association with MI in all four datasets,with OR(95%CI)of 0.902(0.862-0.945),0.998(0.997-0.999),0.866(0.808-0.929),and 0.998(0.997-0.999),respectively,with all P<0.001.Reverse MR analysis did not detect reverse causality,and sensitivity analysis confirmed the robustness of the results.IHC results showed significantly reduced expression of PSME1 and VPS29 in the aortas of AMI mice with an atherosclerotic background compared to control mice(both P<0.05).ELISA results indicated significantly lower plasma levels of PSME1 and VPS29 in AMI patients compared to healthy controls(both P<0.05).Conclusions:Higher levels of PSME1 and VPS29 are negatively associated with the risk of MI,suggesting that PSME1 and VPS29 may serve as protective biomarkers for cardiovascular diseases.

Aim To explore the relationship between serum levels of proprotein convertase subtilisin/kexin type 9(PCSK9),macrophage migration inhibitory factor(MIF)and the severity of coronary artery lesions in patients with coro-nary heart disease(CHD).Methods A cross-sectional study was conducted involving 139 patients with CHD and 69 control subjects who underwent coronary angiography during the same period,all of whom were admitted to the People's Hospital of Xinjiang Uygur Autonomous Region from November 2023 to May 2024.Clinical data and coronary angiography results were collected,and the severity of coronary artery stenosis was quantitatively assessed using the Gensini score.Pa-tients with the Gensini scores＞0 were classified into three groups based on tertiles:the mild stenosis group(1～18 points,54 cases),the moderate stenosis group(19～36 points,54 cases),and the severe stenosis group(＞36 points,54 ca-ses).Serum levels of PCSK9 and MIF were measured by ELISA kit.Results Serum levels of PCSK9 and MIF were significantly higher in the CHD group than those in the control group(P＜0.05).Multivariable Logistic regression analy-sis revealed that high levels of serum PCSK9 and MIF were independent risk factors for CHD.Spearman correlation analy-sis showed that serum PCSK9 and MIF levels were positively correlated with Gensini score(rs=0.619 6 and r,=0.411 4,both P＜0.001).Further subgroup analysis showed that serum total cholesterol and low density lipoprotein cholesterol lev-els were significantly increased in patients with high-level PCSK9,while patients with high-level MIF had higher inflamma-tory coefficients such as systemic inflammatory response index(SIRI)and systemic immune-inflammation index(SII)(all P＜0.05).Conclusion Serum levels of PCSK9 and MIF are positively correlated with the severity of coronary artery stenosis.High levels of serum PCSK9 and MIF are independent risk factors for CHD.

Objectives:To investigate the effect of inhibition of long non-coding RNA(lnc RNA)in human metastasis associated lung adenocarcinoma transcript 1(MALAT1)on glycolipitoxicity-induced human umbilical vein endothelial cell dysfunction. Methods:Human umbilical vein endothelial cells were treated with glucose and palmitic acid in vitro to establish the glycolipitoxic endothelial cell models.Following groups were examined:control group,high-glucose and high-fat group,high-glucose and high-fat + non-targeting RAN control group,high-glucose and high-lipid+MALAT1 siRNA group,and high-glucose and high-lipid+MAPK1 siRNA group.RT-qPCR was used to detect the mRNA expression of MALAT1 and MAPK1.Western blot was used to detect the expression levels of autophagy,mitochondrial fusion division,apoptosis,and pathway-related proteins.Immunofluorescence confocal localization was used to detect the fluorescence colocalization of autophagy and lysosome-related proteins.The number of autophagolysosomes in endothelial cells was observed by transmission electron microscopy.Mitochondrial probe staining was used to detect mitochondrial morphology,immunofluorescence was used to detect intracellular reactive oxygen species(ROS)production,flow cytometry was used to detect the apoptosis of cells in each group,cell proliferation and scratch assays were used to detect the proliferation and migration ability of cells in different groups at different time points.The angiogenesis was quantified by counting the number of new blood vessels in each group. Results:Compared with the control group,the expression of lncRNA MALAT1 mRNA and the expression of phosphorylated mito-activated protein kinase 1(p-MAPK1)were upregulated(both P＜0.05)and the expression of phosphorylated mammalian target protein(p-mTOR)was downregulated in the high-glucose and high-fat group and the high-sugar and high-fat control group(all P＜0.01).Compared with the high-glucose and high-fat non-targeting RNA control group,the expressions of microtubule-associated protein 1A/1B-light chain 3(LC3)and p62 were downregulated(P＜0.01,P＜0.05),LC3 and lysosome-associated membrane protein 2(LAMP2)protein co-localized positive fluorescence particles were increased(both P＜0.01),number of lysosomes were decreased,the expression of ROS was decreased(P＜0.01),the expression level of mitochondrial fusion protein optic nerve atrophin 1(OPA1)was increased(P＜0.05),the expressions of cleaved caspase-3 and BCL-2-related X protein(BAX)were decreased and BCL-2 was increased(all P＜0.05),cell proliferation,migration,and tube-forming ability were increased(all P＜0.01),and the expression of p-MAPK1 was decreased(P＜0.05)and p-mTOR expression was increased(both P＜0.05)in the high-glucose and high-lipid+si-MALAT1 group.Compared with the high-glucose and high-fat non-targeting RNA control group,the expression of p-MAPK1 in endothelial cells was decreased and the expression of p-mTOR was increased in the high-glucose and high-lipid+si-MAPK1 group(both P＜0.01). Conclusions:Inhibition of lncRNA MALAT1 expression can reduce the level of mitophagy in glycolipidotoxic environments,reduce apoptosis of endothelial cells and improve endothelial cell function,which may be related to the regulation of MAPK1/mTOR signaling pathway.

Abstract The COVID-19 pandemic has posed a series of complex challenges. COVID-19 in children and adolescents is generally less severe than in adults and the elderly; however, some children and adolescents may experience severe complications and adverse health effects even after mild or asymptomatic COVID-19 infections. The article focuses on gathering the epidemic characteristics, health impact, risk factors, prevention and control measures, and vaccination status of children and adolescents with COVID-19 infection to provide recommendations for protecting children and adolescents in the post COVID-19 era.

Humans ; Glycated Hemoglobin ; Diabetes Mellitus, Type 1 ; Blood Glucose ; Diabetes Mellitus, Type 2

Objective:To predict suicidal behaviors in patients with bipolar disorder by constructing a machine learning model based on random forest and backpropagation neural network, and provide clinical decision support for the prevention and intervention of patient suicide.Methods:From January 2020 to August 2023, 1 005 patients with bipolar disorder were enrolled.The general clinical data and social dysfunction, anxiety, depression scores of all patients were collected.The random forest algorithm was applied for feature selection, and backpropagation neural network model was constructed for evaluating the model's fitting effect and predictive performance.Results:There were statistically significant differences in sociodemographic characteristics and physiological and psychological factors among the suicide attempt group ( n=293), suicide ideation group ( n=332) and non-suicidal group ( n=380) of patients with bipolar disorder( P<0.05).Using the random forest algorithm identified six main predictive variables: educational level, age, free triiodothyronine (FT3), cognitive impairment, hopelessness and psychogenic anxiety.The developed backpropagation neural network model achieved a precision rate of 79.3%, a recall rate of 79.6%, an F1 score of 79.4%, and an AUC of 0.89 on the test set, indicating that the model predictive performance has high accuracy and discriminative power. Conclusion:This study developed a machine learning model for predicting suicide in patients with bipolar disorder, which possesses high accuracy and discriminative ability, providing a decision-making basis for the prevention and intervention of suicidal behaviors in patients with bipolar disorder.

Objective To investigate the effect of Angelica sinensis polysaccharide (ASP) on intestinal injury in septic rats by regulating the adenosine-monophosphate-activated protein kinase (AMPK)/Nod-like receptor protein 3 (NLRP3) pathway-mediated pyroptosis. Methods A rat model of sepsis was created using cecal ligation and perforation surgery. The successfully modeled rats were separated into a model group;low-,medium-,and high-ASP (ASP-L,ASP-M,ASP-H,respectively) groups;and an AMPK inhibitor group,with 12 rats in each group. Twelve rats in the same period were regarded as the sham group without cecal ligation. Hematoxylin and eosin staining was used to observe the pathological changes in the small intestine of the rats and pathological scoring was performed. TUNEL staining was used to detect intestinal cell pyroptosis;immunohistochemical staining was used to detect NLRP3 expression in small intestine tissue;Enzyme-linked immunosorbent asays were used to determine the serum levels of interleukin (IL)-18 and IL-1β and the activities of D-amino acid oxidase (DAO) and intestinal fatty acid binding protein (iFABP) in the small intestine;and Western blotting was used to determine the levels of gasdermin D (GSDMD),apoptosis-associated speck-like protein containing a CARD (ASC),cleaved caspase-1,and p-AMPK/AMPK proteins in small intestine tissue. Results Compared with the sham group,the model group showed increased small intestine tissue Chiu score;apoptosis rate;and NLRP3,DAO,iFABP,GSDMD,ASC,cleaved caspase-1 and serum IL-18 and IL-1β levels and a decreased p-AMPK/AMPK ratio (P<0.05). Compared to the model group,the ASP-L,ASP-M,and ASP-H groups showed reduced small intestine tissue Chiu score;apoptosis rate;NLRP3,DAO,iFABP,GSDMD,ASC,cleaved caspase-1,and serum IL-18 and IL-1β levels and an increased p-AMPK/AMPK ratio (P<0.05). AMPK inhibitors weakened the inhibitory effect of ASP on small intestine tissue cell apoptosis,and exacerbated intestinal injury (P<0.05). Conclusion ASP inhibited the activation of NLRP3 inflammasomes by activating AMPK expression,thereby inhibiting pyroptosis and alleviating intestinal injury in septic rats.

Objective:To predict suicidal behaviors in patients with bipolar disorder by constructing a machine learning model based on random forest and backpropagation neural network, and provide clinical decision support for the prevention and intervention of patient suicide.Methods:From January 2020 to August 2023, 1 005 patients with bipolar disorder were enrolled.The general clinical data and social dysfunction, anxiety, depression scores of all patients were collected.The random forest algorithm was applied for feature selection, and backpropagation neural network model was constructed for evaluating the model's fitting effect and predictive performance.Results:There were statistically significant differences in sociodemographic characteristics and physiological and psychological factors among the suicide attempt group ( n=293), suicide ideation group ( n=332) and non-suicidal group ( n=380) of patients with bipolar disorder( P<0.05).Using the random forest algorithm identified six main predictive variables: educational level, age, free triiodothyronine (FT3), cognitive impairment, hopelessness and psychogenic anxiety.The developed backpropagation neural network model achieved a precision rate of 79.3%, a recall rate of 79.6%, an F1 score of 79.4%, and an AUC of 0.89 on the test set, indicating that the model predictive performance has high accuracy and discriminative power. Conclusion:This study developed a machine learning model for predicting suicide in patients with bipolar disorder, which possesses high accuracy and discriminative ability, providing a decision-making basis for the prevention and intervention of suicidal behaviors in patients with bipolar disorder.