Objective To establish a risk prediction scheme for recurrence of diabetic foot ulcer based on biochemical test indexes.Methods The clinical data of totally 198 patients with diabetic foot ulcer in the hos-pital from January 2016 to December 2019 were retrospectively analyzed,and randomly divided into a training group(n=139)and a verification group(n=59)according to a ratio of 7∶3.The general data of the training group and the verification group were compared.The training group was divided into recurrence group(n=75)and non-recurrence group(n=64)according to whether there was recurrence or not during following-up.General data of the recurrence group and the non-recurrence group were compared,and the influencing factors of recurrence of diabetic foot ulcer were analyzed by Logistic regression to establish a Nomogram model.Re-ceiver operating characteristic(ROC)curve was used to evaluate the prediction ability of the Nomogram mod-el for both the training group and the verification group,and the Nomogram model was internally verified by Bootstrap method.The clinical net benefit rate of this Nomogram model was verified by decision curve analy-sis(DCA).Results The recurrence rate of 198 patients was 53.03％(105/198).Glycosylated hemoglobin A1c(HbA1c,OR=1.86 6,95％CI:1.377-2.529),white blood cell count(WBC,OR=1.687,95％CI:1.094-2.602),C-reactive protein(CRP,OR=1.704,95％CI:1.145-2.537),platelet(PLT,OR=1.939,95％CI:1.270-2.961),serum creatinine(Scr,OR=1.687,95％CI:1.193-2.387),blood urea nitrogen(BUN,OR=1.685,95％CI:1.227-2.315),urine microalbumin-creatinine ratio(ACR,OR=1.842,95％CI:1.230-2.759),and vascular endothelial growth factor(VEGF,OR=1.829,95％CI:1.281-2.614)were risk factors for recurrence of diabetic foot ulcer(P＜0.05),albumin(ALB,OR=0.462,95％CI:0.287-0.742)and total bilirubin(TBIL,OR=0.506,95％CI:0.327-0.783)were protective factors for the recurrence of diabetic foot ulcer(P＜0.05).The area under the curve(AUG)of the Nomogram model was 0.928(95％CI:0.802-0.985),the sensitivity was 91.71％,and the specificity was 82.41％.The AUC of the prediction group was 0.775(95％CI:0.617-0.890),the sensitivity was 79.17％,and the specificity was 86.48％.Hosmer-Lemeshow goodness of fit test showed P values were both over 0.05 in the training group and the verification group,and the model calibration was well.The Nomogram model predicts that the training group could obtain net clinical benefits in the range of 0.00％to 96.00％,and the verification group can obtain net clinical bene-fits in the range of 0.00％to 95.00％.Conclusion HbA1c,WBC,CRP,PLT,Scr,BUN,ACR and VEGF are risk factors for the recurrence of diabetic foot ulcer,and ALB and TBIL are protective factors for the recur-rence of diabetic foot ulcer.Integrating these factors to construct a Nomogram model could predict the recur-rence of diabetic foot ulcer effectively.

Andrographolide sulfonate (AS) is a sulfonated derivative of andrographolide extracted from Andrographis paniculata (Burm.f.) Nees, and has been approved for several decades in China. The present study aimed to investigate the novel therapeutic application and possible mechanisms of AS in the treatment of rheumatoid arthritis. Results indicated that administration of AS by injection or gavage significantly reduced the paw swelling, improved body weights, and attenuated pathological changes in joints of rats with adjuvant-induced arthritis. Additionally, the levels of tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and IL-1β in the serum and ankle joints were reduced. Bioinformatics analysis, along with the spleen index and measurements of IL-17 and IL-10 levels, suggested a potential relationship between AS and Th17 cells under arthritic conditions. In vitro, AS was shown to block Th17 cell differentiation, as evidenced by the reduced percentages of CD4⁺ IL-17A⁺ T cells and decreased expression levels of RORγt, IL-17A, IL-17F, IL-21, and IL-22, without affecting the cell viability and apoptosis. This effect was attributed to the limited glycolysis, as indicated by metabolomics analysis, reduced glucose uptake, and pH measurements. Further investigation revealed that AS might bind to hexokinase2 (HK2) to down-regulate the protein levels of HK2 but not glyceraldehyde-3-phosphate dehydrogenase (GAPDH) or pyruvate kinase M2 (PKM2), and overexpression of HK2 reversed the inhibition of AS on Th17 cell differentiation. Furthermore, AS impaired the activation of phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signals in vivo and in vitro, which was abolished by the addition of lactate. In conclusion, AS significantly improved adjuvant-induced arthritis (AIA) in rats by inhibiting glycolysis-mediated activation of PI3K/AKT to restrain Th17 cell differentiation.
Animals ; Th17 Cells/immunology* ; Diterpenes/pharmacology* ; Arthritis, Rheumatoid/metabolism* ; Proto-Oncogene Proteins c-akt/immunology* ; Glycolysis/drug effects* ; Cell Differentiation/drug effects* ; Phosphatidylinositol 3-Kinases/genetics* ; Rats ; Male ; Rats, Sprague-Dawley ; Humans ; Andrographis paniculata/chemistry* ; Arthritis, Experimental/drug therapy* ; Interleukin-17/immunology* ; Signal Transduction/drug effects*

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:A two-sample,multivariable,bidirectional Mendelian randomization (MR) analysis was conducted to explore the causal relationships between serum micronutrients (including vitamin A,vitamin B6,vitamin B9,vitamin B12,vitamin C,vitamin D,vitamin E,copper,iron,selenium,zinc,calcium,magnesium,and potassium) and coronary atherosclerosis (CA).Methods:Publicly available data from genome-wide association studies in European populations were analyzed,14 serum micronutrients were used as exposure factors and single nucleotide polymorphisms (SNPs) were used as instrumental variables,outcome was defined as CA.A two-sample MR analysis was performed using inverse variance weighted (IVW) method,MR-Egger regression,weighted median estimator (WME),simple model,and weighted model to assess the relationship between each micronutrient and CA.Multivariable MR analysis was used to evaluate the independent impacts of single exposure factors on CA,reverse MR was applied to assess the potential for reverse causality.Sensitivity analysis was conducted using Cochran's Q test,MR-Egger regression,MR-PRESSO,and leave-one-out analysis to evaluate the robustness of the results.Results:The univariable two-sample MR study evidenced the significant associations between serum levels of vitamin A (IVW:OR=0.019,95％CI:0.001-0.451,P=0.014),vitamin B12 (IVW:OR=1.221,95％CI:1.015-1.469,P=0.034),copper (IVW:OR=1.023,95％CI:1.003-1.044,P=0.026),and potassium (IVW:OR=0.837,95％CI:0.714-0.980,P=0.027) with the risk of CA.After adjustment using multivariable MR analysis,independent causal effects on CA were observed for serum levels of vitamin A (IVW:OR=0.016,95％CI:0.001-0.214,P=0.002) and copper (IVW:OR=1.029,95％CI:1.002-1.056,P=0.036).Reverse MR analysis observed a reverse causal relationship between CA risk and serum vitamin A level,though the effect was minimal (IVW:OR=0.999),while no reverse causality was found between CA risk and serum copper level.There was no evidence to support a causal relationship between the remaining serum micronutrients and CA.These findings were robust through extensive sensitivity analyses.Conclusions:The levels of serum vitamin A and copper may relate to the susceptibility of CA in the studied population.

Objective To analyze the effect of dexmedetomidine(Dex)on biological behavior of A549 cells through expression of miR-1307.Methods Human lung cancer A549 cells were randomly divided into four groups after being cultured for 24 hours:Lung cancer A549 cell group,Dex 20μg/ml group,Dex 40μg/ml group and Dex 80μg/ml group;Each group has 6 parallel samples per hole.After each group of cell culture,we detected the cell proliferation by CCK-8 method,cell apoptosis by flow cytometry,mir-1307 expression by qRT-PCR,cell invasion and cell migration(Transwell)respectively Results Dex inhibits the viability of lung cancer A549 cells in a concentration-and time-dependent manner.Dex can promote the apoptosis of lung cancer A549 cells,and the apoptosis rate can be increased to 22.23%when the concentration of Dex reaches 80μg/ml,the apoptosis rate can rise to 22.23%.Dex inhibits the migration and invasion of lung cancer A549 cells in a concentration-dependent manner.In addition,the relative expression of miR-1307 in A549 cells after Dex treatment decreased significantly comparing to the control group,and the decline was more noteworthy with the increase of Dex concentration.Conclusion Dex can effectively inhibit the proliferation,invasion,metastasis,and apoptosis of humen A549 cells in a dose-dependent manner,and its efficacy may be related to its regulation of miR-1307 expression.

To examine the molecular epidemiology of carbapenem-resistant Klebsiella pneumoniae (CRKP) and investigate the horizontal transmission of blaKPC and blaNDM genes for the prevention and treatment of CRKP. A total of 49 clinically isolated CRKP strains were retrospectively analyzed from January to December 2022 at The First Hospital of Hunan University of Chinese Medicine. Phenotypic screening was performed using modified carbapenem inactivation assay (mCIM) and EDTA-carbapenem inactivation assay (eCIM). Polymerase chain reaction (PCR) was utilized to identify carbapenem resistance genes, β-lactamase resistance genes, and virulence genes, while multi-locus sequence analysis (MLST) was employed to assess the homology of CRKP strains. Conjugation experiments were conducted to infer the horizontal transmission mechanism of blaKPC and blaNDM genes. The results showed that the study included 49 CRKP strains, with 44 carrying blaKPC and 8 carrying blaNDM, Three strains were identified as blaKPC+ blaNDM-CRKP. In this study, 28 out of 49 CRKP strains (57.2%) were found to carry virulence genes. Additionally, one CRKP strain tested positive in the string test and was found to carry both Aerobactin and rmpA virulence genes. MLST results revealed a total of 5 ST types, with ST11 being predominant (41/49, 83.7%). Successful conjugation was observed in all 3 blaKPC-CRKP strains, while only 1 out of 3 blaNDM-CRKP strains showed successful conjugation. The transconjugant exhibited significantly reduced susceptibility to imipenem and cephalosporin antibiotics. In conclusion, the resistance mechanism of CRKP in this study is primarily attributed to the production of KPC enzymes, along with the presence of multiple β-lactamase resistance genes. Additionally, there is a local prevalence of hv-CRKP and blaKPC+ blaNDM-CRKP. blaKPC and blaNDM can be horizontally transmitted through plasmids, with varying efficiency among different strains.

To examine the molecular epidemiology of carbapenem-resistant Klebsiella pneumoniae (CRKP) and investigate the horizontal transmission of blaKPC and blaNDM genes for the prevention and treatment of CRKP. A total of 49 clinically isolated CRKP strains were retrospectively analyzed from January to December 2022 at The First Hospital of Hunan University of Chinese Medicine. Phenotypic screening was performed using modified carbapenem inactivation assay (mCIM) and EDTA-carbapenem inactivation assay (eCIM). Polymerase chain reaction (PCR) was utilized to identify carbapenem resistance genes, β-lactamase resistance genes, and virulence genes, while multi-locus sequence analysis (MLST) was employed to assess the homology of CRKP strains. Conjugation experiments were conducted to infer the horizontal transmission mechanism of blaKPC and blaNDM genes. The results showed that the study included 49 CRKP strains, with 44 carrying blaKPC and 8 carrying blaNDM, Three strains were identified as blaKPC+ blaNDM-CRKP. In this study, 28 out of 49 CRKP strains (57.2%) were found to carry virulence genes. Additionally, one CRKP strain tested positive in the string test and was found to carry both Aerobactin and rmpA virulence genes. MLST results revealed a total of 5 ST types, with ST11 being predominant (41/49, 83.7%). Successful conjugation was observed in all 3 blaKPC-CRKP strains, while only 1 out of 3 blaNDM-CRKP strains showed successful conjugation. The transconjugant exhibited significantly reduced susceptibility to imipenem and cephalosporin antibiotics. In conclusion, the resistance mechanism of CRKP in this study is primarily attributed to the production of KPC enzymes, along with the presence of multiple β-lactamase resistance genes. Additionally, there is a local prevalence of hv-CRKP and blaKPC+ blaNDM-CRKP. blaKPC and blaNDM can be horizontally transmitted through plasmids, with varying efficiency among different strains.