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.

BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome

Objective·To investigate the effect of Th17 cell-specific Stat3 knockout on anxiety-and depressive-like behaviors.Methods·Mice with specific Stat3 knockout in Th17 cells(Stat3fl/fl;Il17a-CreERT2),named Stat3△Il17a,and wild-type mice(Stat3fl/fl,WT)were generated through the Cre/LoxP system,and Stat3 knockout was induced by intraperitoneal injection of tamoxifen.CD4+T cells were isolated using magnetic-activated cell sorting and induced to differentiate into Th17 cells.Reverse transcription polymerase chain reaction and Western blotting were used to verify Stat3 knockout efficiency.Mice were assigned into 4 groups:WT-C group,Stat3△Il17a-C group,WT-P group,and Stat3△Il17a-P group.The periodontitis model was established in the WT-P group and the Stat3△Il17a-P group by injection of Porphyromonas gingivalis-lipopolysaccharide(P.gingivalis-LPS)into the gingival sulcus.Behavioral tests,including the open field test,elevated zero maze,and forced swimming test,were conducted to evaluate changes in anxiety-and depressive-like behaviors.Micro-computed tomography was used to observe destruction of alveolar bone.Neuronal injury was observed by H-E staining,and the level of brain-derived neurotrophic factor(BDNF)was detected by enzyme-linked immunosorbent assay.Results·mRNA expression and protein levels of Stat3 in Stat3△Il17a mice were inhibited compared to WT mice(P<0.05).Experimental periodontitis model was successfully established in the WT-P group and the Stat3△Il17a-P group.The degree of alveolar bone destruction was reduced in the Stat3△Il17a-P group compared to the WT-P group.In the WT-P group,decreased residence time in the central area and in the open area was observed in the open field test and elevated zero maze respectively,and increased immortal time was recorded in the forced swimming test(P<0.05).Moreover,neuronal injury was detected and significantly decreased expression levels of BDNF in the brain were measured in the WT-P group compared with the WT-C group(P<0.05).The degree of abnormal behaviors and neuronal injury was reduced in the Stat3△Il17a-P group compared to the WT-P group(P<0.05).Moreover,the level of BDNF in the Stat3△Il17a-P was higher than that in the WT-P group(P<0.05).Conclusion·Periodontitis may contribute to anxiety-and depressive-like behaviors and neuronal damage in mice,while Th17-specific conditional knockout of Stat3 could significantly alleviate pathological behaviors and neuronal damage.Stat3-mediated-Th17 cell immune responses may play a crucial role in the correlation between periodontitis and anxiety and depression.

A complete plant body consists of elements on different scales, including microscopic molecules, mesoscopic multicellular structures, and macroscopic tissues and organs, which are interconnected to form complex biological networks. The growth and development of plants involve the regulation of elements on different scales and their biological networks, which requires the coordinated operation of multiple molecules, cells, tissues, and organs. It is difficult to reveal the essence of multi-level life activities by a single method or technology. In recent years, the development of various novel imaging technologies has provided new approaches for revealing the complex life activities in plants. Using multi-modal imaging technologies to study the cross-scale network connections of plants from the microscopic, mesoscopic, and macroscopic levels is crucial for understanding the complex internal connections behind biological functions. This paper first summarizes multi-modal cross-scale imaging technologies, three-dimensional reconstruction, and image processing methods, outlines the basic framework of cross-scale network connection properties, and then summarizes the applications of multi-modal imaging technologies in elucidating plant multi-scale networks. Finally, this review systematically integrates the combined analysis of cross-scale 3D spatial structural data and single-cell omics, laying a theoretical foundation for the innovation of novel plant imaging technologies. Furthermore, it provides a new research paradigm for in-depth exploration of the interaction mechanisms among cross-scale elements and the principles of biological network connectivity in plant life activities.
Plants/metabolism* ; Imaging, Three-Dimensional/methods* ; Image Processing, Computer-Assisted/methods* ; Multimodal Imaging/methods* ; Plant Physiological Phenomena

Objective·To investigate the effect of Th17 cell-specific Stat3 knockout on anxiety-and depressive-like behaviors.Methods·Mice with specific Stat3 knockout in Th17 cells(Stat3fl/fl;Il17a-CreERT2),named Stat3△Il17a,and wild-type mice(Stat3fl/fl,WT)were generated through the Cre/LoxP system,and Stat3 knockout was induced by intraperitoneal injection of tamoxifen.CD4+T cells were isolated using magnetic-activated cell sorting and induced to differentiate into Th17 cells.Reverse transcription polymerase chain reaction and Western blotting were used to verify Stat3 knockout efficiency.Mice were assigned into 4 groups:WT-C group,Stat3△Il17a-C group,WT-P group,and Stat3△Il17a-P group.The periodontitis model was established in the WT-P group and the Stat3△Il17a-P group by injection of Porphyromonas gingivalis-lipopolysaccharide(P.gingivalis-LPS)into the gingival sulcus.Behavioral tests,including the open field test,elevated zero maze,and forced swimming test,were conducted to evaluate changes in anxiety-and depressive-like behaviors.Micro-computed tomography was used to observe destruction of alveolar bone.Neuronal injury was observed by H-E staining,and the level of brain-derived neurotrophic factor(BDNF)was detected by enzyme-linked immunosorbent assay.Results·mRNA expression and protein levels of Stat3 in Stat3△Il17a mice were inhibited compared to WT mice(P<0.05).Experimental periodontitis model was successfully established in the WT-P group and the Stat3△Il17a-P group.The degree of alveolar bone destruction was reduced in the Stat3△Il17a-P group compared to the WT-P group.In the WT-P group,decreased residence time in the central area and in the open area was observed in the open field test and elevated zero maze respectively,and increased immortal time was recorded in the forced swimming test(P<0.05).Moreover,neuronal injury was detected and significantly decreased expression levels of BDNF in the brain were measured in the WT-P group compared with the WT-C group(P<0.05).The degree of abnormal behaviors and neuronal injury was reduced in the Stat3△Il17a-P group compared to the WT-P group(P<0.05).Moreover,the level of BDNF in the Stat3△Il17a-P was higher than that in the WT-P group(P<0.05).Conclusion·Periodontitis may contribute to anxiety-and depressive-like behaviors and neuronal damage in mice,while Th17-specific conditional knockout of Stat3 could significantly alleviate pathological behaviors and neuronal damage.Stat3-mediated-Th17 cell immune responses may play a crucial role in the correlation between periodontitis and anxiety and depression.

Objective:This study aims to explore the risk factors of Multi-center Investigator-Initiated Clinical Trials (MIITs), and provide a basis for developing study management strategies.Methods:The original draft of MIIT risk evaluation factors was determined through literature analysis and internal discussions of the research group. Thirty five experts were consulted using the Delphi method, and then the MIIT risk evaluation elements were finally determined. Analytic Hierarchy Process (AHP) was used to calculate the weights of each index.Results:The recovery rates of both rounds of expert consultation were 100%, and the degree of expert authority was 0.856. The study ultimately formed an MIIT risk evaluation framework consisting of three first-class indexes, twelve second-class indexes, and thirty-eight third-class indexes. The weight values of the first-class indexes (start-up period, implementation period, and summary period) were 0.209 8, 0.710 6, and 0.079 6, respectively. Meanwhile, the weight values of the second-class indexes and third-class indexes were determined.Conclusions:Exploring the risk evaluation factors of MIIT provides valuable insights into identifying critical risk points, which, in turn, contributes to enhancing MIIT management efficiency, research progress, and quality.

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.

Objective:This study aims to explore the risk factors of Multi-center Investigator-Initiated Clinical Trials (MIITs), and provide a basis for developing study management strategies.Methods:The original draft of MIIT risk evaluation factors was determined through literature analysis and internal discussions of the research group. Thirty five experts were consulted using the Delphi method, and then the MIIT risk evaluation elements were finally determined. Analytic Hierarchy Process (AHP) was used to calculate the weights of each index.Results:The recovery rates of both rounds of expert consultation were 100%, and the degree of expert authority was 0.856. The study ultimately formed an MIIT risk evaluation framework consisting of three first-class indexes, twelve second-class indexes, and thirty-eight third-class indexes. The weight values of the first-class indexes (start-up period, implementation period, and summary period) were 0.209 8, 0.710 6, and 0.079 6, respectively. Meanwhile, the weight values of the second-class indexes and third-class indexes were determined.Conclusions:Exploring the risk evaluation factors of MIIT provides valuable insights into identifying critical risk points, which, in turn, contributes to enhancing MIIT management efficiency, research progress, and quality.