{"title":"通过代谢组学分析急性心肌梗死大鼠尿液代谢物的变化","authors":"Nian-Nian Chen, Jiao-Fang Yu, Peng Wu, Li Luo, Ya-Qin Bai, Li-Kai Wang, Xiao-Qian Li, Zhan-Peng Li, Cai-Rong Gao, Xiang-Jie Guo","doi":"10.12116/j.issn.1004-5619.2023.431108","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To screen biomarkers for forensic identification of acute myocardial infarction (AMI) by non-targeted metabolomic studies on changes of urine metabolites in rats with AMI.</p><p><strong>Methods: </strong>The rat models of the sham surgery group, AMI group and hyperlipidemia + acute myocardial infarction (HAMI) group were established. Ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was used to analyze the changes of urine metabolic spectrometry in AMI rats. Principal component analysis, partial least squares-discriminant analysis, and orthogonal partial least squares-discriminant analysis were used to screen differential metabolites. The MetaboAnalyst database was used to analyze the metabolic pathway enrichment and access the predictive ability of differential metabolites.</p><p><strong>Results: </strong>A total of 40 and 61 differential metabolites associated with AMI and HAMI were screened, respectively. Among them, 22 metabolites were common in both rat models. These small metabolites were mainly concentrated in the niacin and nicotinamide metabolic pathways. Within the 95% confidence interval, the area under the curve (AUC) values of receiver operator characteristic curve for N8-acetylspermidine, 3-methylhistamine, and thymine were greater than 0.95.</p><p><strong>Conclusions: </strong>N8-acetylspermidine, 3-methylhistamine, and thymine can be used as potential biomarkers for AMI diagnosis, and abnormal metabolism in niacin and nicotinamide may be the main causes of AMI. This study can provide reference for the mechanism and causes of AMI identification.</p>","PeriodicalId":12317,"journal":{"name":"法医学杂志","volume":"40 3","pages":"227-236"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Urine Metabolites Changes in Acute Myocardial Infarction Rats via Metabolomic Analysis.\",\"authors\":\"Nian-Nian Chen, Jiao-Fang Yu, Peng Wu, Li Luo, Ya-Qin Bai, Li-Kai Wang, Xiao-Qian Li, Zhan-Peng Li, Cai-Rong Gao, Xiang-Jie Guo\",\"doi\":\"10.12116/j.issn.1004-5619.2023.431108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To screen biomarkers for forensic identification of acute myocardial infarction (AMI) by non-targeted metabolomic studies on changes of urine metabolites in rats with AMI.</p><p><strong>Methods: </strong>The rat models of the sham surgery group, AMI group and hyperlipidemia + acute myocardial infarction (HAMI) group were established. Ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was used to analyze the changes of urine metabolic spectrometry in AMI rats. Principal component analysis, partial least squares-discriminant analysis, and orthogonal partial least squares-discriminant analysis were used to screen differential metabolites. The MetaboAnalyst database was used to analyze the metabolic pathway enrichment and access the predictive ability of differential metabolites.</p><p><strong>Results: </strong>A total of 40 and 61 differential metabolites associated with AMI and HAMI were screened, respectively. Among them, 22 metabolites were common in both rat models. These small metabolites were mainly concentrated in the niacin and nicotinamide metabolic pathways. Within the 95% confidence interval, the area under the curve (AUC) values of receiver operator characteristic curve for N8-acetylspermidine, 3-methylhistamine, and thymine were greater than 0.95.</p><p><strong>Conclusions: </strong>N8-acetylspermidine, 3-methylhistamine, and thymine can be used as potential biomarkers for AMI diagnosis, and abnormal metabolism in niacin and nicotinamide may be the main causes of AMI. This study can provide reference for the mechanism and causes of AMI identification.</p>\",\"PeriodicalId\":12317,\"journal\":{\"name\":\"法医学杂志\",\"volume\":\"40 3\",\"pages\":\"227-236\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"法医学杂志\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12116/j.issn.1004-5619.2023.431108\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"法医学杂志","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12116/j.issn.1004-5619.2023.431108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
目的通过对急性心肌梗死大鼠尿液代谢物变化的非靶向代谢组学研究，筛选用于法医鉴定急性心肌梗死（AMI）的生物标志物：方法：建立假手术组、AMI 组和高脂血症+急性心肌梗死（HAMI）组大鼠模型。采用超高效液相色谱-质谱联用仪（UPLC-MS）分析 AMI 大鼠尿液代谢谱的变化。采用主成分分析、偏最小二乘判别分析和正交偏最小二乘判别分析筛选差异代谢物。MetaboAnalyst 数据库用于分析代谢途径富集情况，并获取差异代谢物的预测能力：结果：共筛选出 40 和 61 个分别与 AMI 和 HAMI 相关的差异代谢物。结果：分别筛选出了 40 和 61 个与 AMI 和 HAMI 相关的差异代谢物，其中 22 个代谢物在两种大鼠模型中都很常见。这些小代谢物主要集中在烟酸和烟酰胺代谢途径中。在 95% 的置信区间内，N8-乙酰精胺、3-甲基组胺和胸腺嘧啶的接收者运算特征曲线下面积（AUC）值均大于 0.95：N8-乙酰过氨酸、3-甲基组胺和胸腺嘧啶可作为诊断AMI的潜在生物标志物，烟酸和烟酰胺代谢异常可能是导致AMI的主要原因。本研究可为鉴别AMI的机制和原因提供参考。
Urine Metabolites Changes in Acute Myocardial Infarction Rats via Metabolomic Analysis.
Objectives: To screen biomarkers for forensic identification of acute myocardial infarction (AMI) by non-targeted metabolomic studies on changes of urine metabolites in rats with AMI.
Methods: The rat models of the sham surgery group, AMI group and hyperlipidemia + acute myocardial infarction (HAMI) group were established. Ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was used to analyze the changes of urine metabolic spectrometry in AMI rats. Principal component analysis, partial least squares-discriminant analysis, and orthogonal partial least squares-discriminant analysis were used to screen differential metabolites. The MetaboAnalyst database was used to analyze the metabolic pathway enrichment and access the predictive ability of differential metabolites.
Results: A total of 40 and 61 differential metabolites associated with AMI and HAMI were screened, respectively. Among them, 22 metabolites were common in both rat models. These small metabolites were mainly concentrated in the niacin and nicotinamide metabolic pathways. Within the 95% confidence interval, the area under the curve (AUC) values of receiver operator characteristic curve for N8-acetylspermidine, 3-methylhistamine, and thymine were greater than 0.95.
Conclusions: N8-acetylspermidine, 3-methylhistamine, and thymine can be used as potential biomarkers for AMI diagnosis, and abnormal metabolism in niacin and nicotinamide may be the main causes of AMI. This study can provide reference for the mechanism and causes of AMI identification.
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