Altered serum level of cartilage oligomeric matrix protein and its association with coronary calcification in patients with coronary heart disease

BackgroundCartilage oligomeric 矩阵蛋白质(COMP ) 主要在骨胳的系统和脉管的光滑的肌肉房间被发现。最近的研究证明它在血容器上有保护的功能并且能也禁止脉管的石灰化。我们在冠的心疾病( CHD )调查了浆液 COMP 病人，并且在浆液 COMP 和首先经历了多片跟随的冠的 angiography 的 233 个连续的胸疼痛病人全部的冠的 artery.MethodsA 的石灰化之间的关系在六个月以内计算了断层摄影术( MSCT )被招募并且根据缩小百分比的冠的 angiography 钠直径划分了成二个组：CHD 组(缩小 50% 的直径， n = 194 ) 并且控制组(直径变窄 <50% ， n = 39 ) 。Gensini 分数，句法分数和冠的动脉钙分数(CAC ) 是计算的。浆液 COMP 水平用 COMP 的 ELISA.ResultsThe 层次被决定比在控制组在 CHD 组是显著地更高的 155.7 (124.5-194.5 ) ng/mL 对 128.4 (113.0-159.9 ) ng/mL， P = 0.019。在 COMP， Gensini 分数，句法分数，冠的狭窄的严厉和有狭窄的冠的动脉的数字之间没有关联 >50% 。浆液 COMP 与年龄被相关(r = 0.294， P < 0.001 ) ， fasting 葡萄糖(r = 0.163， P = 0.015 ) ， HbA1c (r = 0.194， P = 0.015 ) 并且 CAC (r = 0.137， P = 0.037 ) 。逐步的线性回归分析显示出那 COMP 水平，年龄是在 CHD 病人的 CAC 的独立预言者(= 0.402， t = 2.612， P = 0.015；= 0.472， t = 3.077， P = 0.005 ) 。为预言 CHD 的 COMP 的性能在曲线(AUC ) 下面作为区域被显示出：0.632， 95% CI：0.549-0.715 和上面的 tertile CAC 是 AUC：0.602， 95% CI：在操作冠的动脉的特征(巨鸟) 曲线 analysis.ConclusionCalcification 的接收装置的 0.526-0.678 是浆液 COMP 的一个独立预言者。

Correlation between growth differentiation factor-15 and collagen metabolism indicators in patients with myocardial infarction and heart failure

BackgroundGrowth 区别因素(GDF )-15, 转变生长因素贝它总科的一个分叉的成员确实看起来响应试验性的压力超载和心失败(HF ) 的前进起来调整。HF 经常在心肌的梗塞(MI ) 以后发展，贡献更坏的结果。学习是在 HF.MethodsThe 学习的不同阶段估计在与骨胶原周转有关的 GDF-15 层次和标记之间的关联的这的目的由 179 个病人的一个队组成，包括稳定的心绞痛病人( AP 组， n = 50 )，没有 HF 的旧 MI 病人( OMI 组， n = 56 )，有 HF 的旧 MI 病人( OMI-HF 组， n = 38 )并且正常控制组( n = 35 )。包括 precollagen 反映骨胶原的合成和降级率的两指示物我N终端肽( PINP )，类型我骨胶原carboxy终端肽( ICTP )， precollagen III N终端肽( PIIINP )和 GDF-15 用连接酶的 inmunosorbent assay.ResultsThe 血浆 GDF-15 水平被测量在 OMI-HF 组是更高的( 1373.4 &#x000b1 ；275.4 ng/L ) 比 OMI 组(1036.1 &#x000b1；248.6 ng/L ) ， AP 组(784.6 &#x000b1；222.4 ng/L ) 并且控制组(483.8 &#x000b1；186.4 ng/L )(P &#x0003c；0.001 ) 。骨胶原周转的指示物(ICTP， PINP， PIIINP ) 与控制相比在 OMI-HF 组增加的所有组织(3.03 &#x000b1；1.02 &#x000b5； g/L 对 2.08 &#x000b1；0.95 &#x000b5； g/L， 22.2 &#x000b1；6.6 &#x000b5； g/L 对 16.7 &#x000b1；5.1 &#x000b5； g/L 和 13.2 &#x000b1；7.9 &#x000b5； g/L 对 6.4 &#x000b1；2.1 &#x000b5； g/L 分别地；P &#x0003c；0.01 ) 。GDF-15 断然与 ICTP 和 PIIINP 相关(r = 0.302， P &#x0003c；0.001 并且 r = 0.206， P = 0.006，分别地) 。GDF-15 断然相关到心脏舒张的指示物 E/Em 和左 atrial 迫使的 echocardiographic (r = 0.349 并且 r = 0.358 分别地；P &#x0003c；0.01 ) ，并且相反地相关到收缩指示物左室的喷射部分和山峰的一般水准收缩心肌的速度(Sm )(r =&#x02212； 0.623 并且 r =&#x02212； 0.365 分别地；P &#x0003c；0.01 ).ConclusionPlasma GDF-15 与类型的指示物被联系我和 III 骨胶原周转。

Association between serum cartilage oligomeric matrix protein and coronary artery calcification in maintenance hemodialysis patients

Background Coronary artery calcification(CAC)is common in end-stage renal disease(ESRD)patients,and the extent of CAC is closely related to cardiovascular outcomes in ESRD patients.Cartilage oligomeric matrix protein(COMP),as a component of the vascular matrix,has been found to be an inhibitor of arterial calcification in basic studies.However,there is no clinical research on the correlation between COMP and CAC in maintenance hemodialysis(MHD)patients.The aim of this study was to explore the relationship between serum COMP levels and CAC and cardiovascular events in MHD patients.Methods Serum COMP levels were compared between 54 MHD patients and 66 healthy people.MHD patients were then divided into three groups according to the tertiles of the concentration of COMP level and were followed up for major adverse cardiac events(MACEs),which were defined as a combined end point of new onset angina pectoris,nonfatal myocardial infarction,heart failure,coronary artery revascularization,hospitalization due to angina pectoris and all-cause deaths.The CAC score was calculated based on computed tomography scans.Results The serum COMP level in MHD patients was significantly higher than that in the general population[984.23(248.43-1902.61)ng/mL vs.219.01(97.26-821.92)ng/mL,P<0.01].Serum COMP levels were positively correlated with CAC(r=0.313,P=0.021)and serum parathyroid hormone in MHD patients(r=0.359,P<0.01).Linear regression suggested that after adjusting for age,fasting blood glucose(Glu)and glycosylated hemoglobin(HbAlc),CAC score was an independent predictor in the final model for COMP level(β=0.424,t=3.130,P<0.01).The receiver operating characteristic(ROC)curve showed that COMP≥994 mg/mL had 68.0%sensitivity and 72.4%specificity for the prediction of severe CAC[area under the curve(AUC):0.674,P=0.030,95%CI:0.526-0.882].After a median follow-up of 16 months(8-24 months),there was no difference in the incidence rate of MACEs between the upper,middle and lower serum COMP groups.Conclusions Our study found that MHD patients have higher levels of circulating COMP than controls.The serum COMP level is positively correlated with CAC score and could be used as a biomarker of severe CAC in MHD patients.However,there is no obvious correlation between serum COMP levels and the incidence of cardiovascular events.

Early identification of STEMI patients with emergency chest pain using lipidomics combined with machine learning

OBJECTIVES To analyze the differential expression of lipid spectrum between ST-segment elevated myocardial infarction(STEMI)and patients with emergency chest pain and excluded coronary artery disease(CAD),and establish the predictive model which could predict STEMI in the early stage.METHODS We conducted a single-center,nested case-control study using the emergency chest pain cohort of Peking Univer-sity Third Hospital.Untargeted lipidomics were conducted while LASSO regression as well as XGBoost combined with greedy algorithm were used to select lipid molecules.RESULTS Fifty-two STEMI patients along with 52 controls were enrolled.A total of 1925 lipid molecules were detected.There were 93 lipid molecules in the positive ion mode which were differentially expressed between the STEMI and the control group,while in the negative ion mode,there were 73 differentially expressed lipid molecules.In the positive ion mode,the differentially expressed lipid subclasses were mainly diacylglycerol(DG),lysophophatidylcholine(LPC),acylcarnitine(CAR),lysophospha-tidyl ethanolamine(LPE),and phosphatidylcholine(PC),while in the negative ion mode,significantly expressed lipid subclasses were mainly free fatty acid(FA),LPE,PC,phosphatidylethanolamine(PE),and phosphatidylinositol(PI).LASSO regression se-lected 22 lipids while XGBoost combined with greedy algorithm selected 10 lipids.PC(15:0/18:2),PI(19:4),and LPI(20:3)were the overlapping lipid molecules selected by the two feature screening methods.Logistic model established using the three lipids had excellent performance in discrimination and calibration both in the derivation set(AUC:0.972)and an internal validation set(AUC:0.967).In 19 STEMI patients with normal cardiac troponin,18 patients were correctly diagnosed using lipid model.CONCLUSIONS The differentially expressed lipids were mainly DG,CAR,LPC,LPE,PC,PI,PE,and FA.Using lipid molecules selected by XGBoost combined with greedy algorithm and LASSO regression to establish model could accurately predict STEMI even in the more earlier stage.

Excitation-Contraction Coupling Time is More Sensitive in Evaluating Cardiac Systolic Function

Background： Pressure overload-induced myocardial hypertrophy is a key step leading to heart failure. Previous cellular and animal studies demonstrated that deteriorated excitation-contraction coupling occurs as early as the compensated stage of hypertrophy before the global decrease in left ventricular ejection fraction （LVEF）. This study was to evaluate the cardiac electromechanical coupling time in evaluating cardiac systolic function in the early stage of heart failure. Methods： Twenty-six patients with Stage B heart failure （SBHF） and 31 healthy controls （CONs） were enrolled in this study. M-mode echocardiography was performed to measure LVEF. Tissue Doppler imaging （TDI） combined with electrocardiography （ECG） was used to measure cardiac electromechanical coupling time. Results： There was no significant difference in LVEF between SBHF patients and CONs （64.23 ± 8.91% vs. 64.52 ± 5.90%; P= 0.886）. However, all four electromechanical coupling time courses （Qsb： onset of Q wave on ECG to beginning of S wave on TDI, Qst： onset of Q wave on ECG to top of S wave on TDI, Rsb： top of R wave on ECG to beginning orS wave on TDI, and Rst： top of R wave on ECG to top orS wave on TDI） of SBHF patients were significantly longer than those of CONs （Qsb： 119.19 ± 35.68 ms vs. 80.30 ± 14.81 ms, P 〈 0.001 ; Qst： 165.42 ± 60.93 ms vs. 129.04 ± 16.97 ms, P = 0.006; Rsb： 82.43 ± 33.66 ms vs. 48.30 ± 15.18 ms, P 〈 0.001; and Rst： 122.37 ± 36.66 ins vs. 93.25 ± 16.72 ms, P = 0.001 ）, and the Qsb, Rsb, and Rst time showed a significantly higher sensitivity than LVEF （Rst： P =0.032; Rsb： P = 0.003; and Qsb： P = 0.004）. Conclusions： The cardiac electromechanical coupling time is more sensitive than LVEF in evaluating cardiac systolic function.