Progress and perspectives of metabolic biomarkers in human aortic dissection.

IF 3.5 3区医学 Q2 ENDOCRINOLOGY & METABOLISM

Metabolomics Pub Date : 2024-07-13 DOI:10.1007/s11306-024-02140-z

Gaohang Mu, Xiangyu Cao, Lianbo Shao, Han Shen, Xingyou Guo, Yamei Gao, Chengkai Su, Hongyou Fan, You Yu, Zhenya Shen

{"title":"Progress and perspectives of metabolic biomarkers in human aortic dissection.","authors":"Gaohang Mu, Xiangyu Cao, Lianbo Shao, Han Shen, Xingyou Guo, Yamei Gao, Chengkai Su, Hongyou Fan, You Yu, Zhenya Shen","doi":"10.1007/s11306-024-02140-z","DOIUrl":null,"url":null,"abstract":"Background: Aortic dissection (AD) significantly threated human cardiovascular health, extensive clinical-scientific research programs have been executed to uncover the pathogenesis and prevention. Unfortunately, no specific biomarker was identified for the causality or development of human AD.Aim of review: Metabolomics, a high-throughput technique capable of quantitatively detecting metabolites, holds considerable promise in discovering specific biomarkers and unraveling the underlying pathways involved. Aiming to provide a metabolite prediction in human AD, we collected the metabolomics data from 2003 to 2023, and diligently scrutinized with the online system MetaboAnalyst 6.0.Key scientific concepts of review: Based on the data obtained, we have concluded the metabolic dynamics were highly correlated with human AD. Such metabolites (choline, serine and uridine) were frequently involved in the AD. Besides, the pathways, including amino acids metabolism and lipids metabolism, were also dysregulated in the disease. Due to the current limitation of metabolism analysis, the integrative omics data including genomics, transcriptomics, and proteomics were required for developing the specific biomarker for AD.","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metabolomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11306-024-02140-z","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}

引用次数: 0

Abstract

Background: Aortic dissection (AD) significantly threated human cardiovascular health, extensive clinical-scientific research programs have been executed to uncover the pathogenesis and prevention. Unfortunately, no specific biomarker was identified for the causality or development of human AD.

Aim of review: Metabolomics, a high-throughput technique capable of quantitatively detecting metabolites, holds considerable promise in discovering specific biomarkers and unraveling the underlying pathways involved. Aiming to provide a metabolite prediction in human AD, we collected the metabolomics data from 2003 to 2023, and diligently scrutinized with the online system MetaboAnalyst 6.0.

Key scientific concepts of review: Based on the data obtained, we have concluded the metabolic dynamics were highly correlated with human AD. Such metabolites (choline, serine and uridine) were frequently involved in the AD. Besides, the pathways, including amino acids metabolism and lipids metabolism, were also dysregulated in the disease. Due to the current limitation of metabolism analysis, the integrative omics data including genomics, transcriptomics, and proteomics were required for developing the specific biomarker for AD.

Abstract Image

查看原文本刊更多论文

人类主动脉夹层中代谢生物标记物的研究进展与前景。

背景：主动脉夹层（AD）严重危害人类心血管健康，为揭示其发病机制和预防方法，人们开展了大量临床科学研究。但遗憾的是，目前还没有发现人类主动脉夹层症成因或发展的特异性生物标志物：代谢组学是一种能够定量检测代谢物的高通量技术，在发现特异性生物标志物和揭示相关潜在途径方面前景广阔。为了对人类AD的代谢物进行预测，我们收集了2003年至2023年的代谢组学数据，并使用在线系统MetaboAnalyst 6.0进行了仔细的分析：根据所获得的数据，我们得出了代谢动态与人类 AD 高度相关的结论。这些代谢物（胆碱、丝氨酸和尿苷）经常与 AD 有关。此外，包括氨基酸代谢和脂质代谢在内的途径也在疾病中出现失调。由于目前新陈代谢分析的局限性，需要包括基因组学、转录组学和蛋白质组学在内的全方位数据来开发针对 AD 的特异性生物标记物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Metabolomics 医学-内分泌学与代谢

CiteScore

6.60

自引率

2.80%

发文量

审稿时长

2 months

期刊介绍： Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.