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血浆代谢物可警示胸痛患者心肌梗死的发生。

Plasma Metabolites Alert Patients With Chest Pain to Occurrence of Myocardial Infarction.

作者信息

Aa Nan, Lu Ying, Yu Mengjie, Tang Heng, Lu Zhenyao, Sun Runbing, Wang Liansheng, Li Chunjian, Yang Zhijian, Aa Jiye, Kong Xiangqing, Wang Guangji

机构信息

Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Department of Laboratory, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

出版信息

Front Cardiovasc Med. 2021 Apr 23;8:652746. doi: 10.3389/fcvm.2021.652746. eCollection 2021.

Abstract

Myocardial infarction (MI) is one of the leading causes of death worldwide, and knowing the early warning signs of MI is lifesaving. To expand our knowledge of MI, we analyzed plasma metabolites in MI and non-MI chest pain cases to identify markers for alerting about MI occurrence based on metabolomics. A total of 230 volunteers were recruited, consisting of 146 chest pain patients admitted with suspected MI (85 MIs and 61 non-MI chest pain cases) and 84 control individuals. Non-MI cardiac chest pain cases include unstable angina (UA), myocarditis, valvular heart diseases, etc. The blood samples of all suspected MI cases were collected not longer than 6 h since the onset of chest pain. Gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry were applied to identify and quantify the plasma metabolites. Multivariate statistical analysis was utilized to analyze the data, and principal component analysis showed MI could be clearly distinguished from non-MI chest pain cases (including UA and other cases) in the scores plot of metabolomic data, better than that based on the data constructed with medical history and clinical biochemical parameters. Pathway analysis highlighted an upregulated methionine metabolism and downregulated arginine biosynthesis in MI cases. Receiver operating characteristic curve (ROC) and adjusted odds ratio (OR) were calculated to evaluate potential markers for the diagnosis and prediction ability of MI (MI vs. non-MI cases). Finally, gene expression profiles from the Gene Expression Omnibus (GEO) database were briefly discussed to study differential metabolites' connection with plasma transcriptomics. Deoxyuridine (dU), homoserine, and methionine scored highly in ROC analysis (AUC > 0.91), sensitivity (>80%), and specificity (>94%), and they were correlated to LDH and AST ( < 0.05). OR values suggested, after adjusting for gender, age, lipid levels, smoking, type II diabetes, and hypertension history, that high levels of dU of positive logOR = 3.01, methionine of logOR = 3.48, and homoserine of logOR = 1.61 and low levels of isopentenyl diphosphate (IDP) of negative logOR = -5.15, uracil of logOR = -2.38, and arginine of logOR = -0.82 were independent risk factors of MI. Our study highlighted that metabolites belonging to pyrimidine, methionine, and arginine metabolism are deeply influenced in MI plasma samples. dU, homoserine, and methionine are potential markers to recognize MI cases from other cardiac chest pain cases after the onset of chest pains. Individuals with high plasma abundance of dU, homoserine, or methionine have increased risk of MI, too.

摘要

心肌梗死(MI)是全球主要的死亡原因之一,了解心肌梗死的早期预警信号可挽救生命。为了拓展我们对心肌梗死的认识,我们分析了心肌梗死和非心肌梗死胸痛病例的血浆代谢物,以基于代谢组学确定用于警示心肌梗死发生的标志物。共招募了230名志愿者,包括146名因疑似心肌梗死入院的胸痛患者(85例心肌梗死患者和61例非心肌梗死胸痛病例)以及84名对照个体。非心肌梗死性心脏胸痛病例包括不稳定型心绞痛(UA)、心肌炎、心脏瓣膜病等。所有疑似心肌梗死病例的血样在胸痛发作后6小时内采集。采用气相色谱 - 质谱联用和液相色谱 - 质谱联用技术鉴定和定量血浆代谢物。利用多变量统计分析对数据进行分析,主成分分析表明在代谢组学数据的得分图中,心肌梗死能够与非心肌梗死胸痛病例(包括UA和其他病例)明显区分,优于基于病史和临床生化参数构建的数据。通路分析突出显示心肌梗死病例中蛋氨酸代谢上调而精氨酸生物合成下调。计算受试者工作特征曲线(ROC)和校正比值比(OR)以评估用于心肌梗死诊断和预测能力的潜在标志物(心肌梗死与非心肌梗死病例)。最后,简要讨论了来自基因表达综合数据库(GEO)的基因表达谱,以研究差异代谢物与血浆转录组学的关联。脱氧尿苷(dU)、高丝氨酸和蛋氨酸在ROC分析中得分较高(曲线下面积>0.91)、敏感性(>80%)和特异性(>94%),并且它们与乳酸脱氢酶(LDH)和天门冬氨酸氨基转移酶(AST)相关(<0.05)。OR值表明,在调整性别、年龄、血脂水平、吸烟、2型糖尿病和高血压病史后,dU高水平(阳性logOR = 3.01)、蛋氨酸logOR = 3.48、高丝氨酸logOR = 1.61以及异戊烯基二磷酸(IDP)低水平(阴性logOR = -5.15)、尿嘧啶logOR = -2.38和精氨酸logOR = -0.82是心肌梗死的独立危险因素。我们的研究强调,嘧啶、蛋氨酸和精氨酸代谢相关的代谢物在心肌梗死血浆样本中受到深刻影响。dU、高丝氨酸和蛋氨酸是胸痛发作后从其他心脏胸痛病例中识别心肌梗死病例的潜在标志物。血浆中dU、高丝氨酸或蛋氨酸丰度高的个体发生心肌梗死的风险也增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70e5/8103546/a8ffd48cd490/fcvm-08-652746-g0001.jpg

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