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首页> 外文期刊>RSC Advances >Exploring potential biomarkers and determining the metabolic mechanism of type 2 diabetes mellitus using liquid chromatography coupled to high-resolution mass spectrometry
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Exploring potential biomarkers and determining the metabolic mechanism of type 2 diabetes mellitus using liquid chromatography coupled to high-resolution mass spectrometry

机译：利用液相色谱法探索潜在的生物标志物并确定2型糖尿病的代谢机制耦合到高分辨率质谱法

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摘要

Diabetes mellitus has imposed a huge burden on modern society and is a serious threat to human health globally. Obese people usually have a higher risk of developing T2DM, and this disease is often diagnosed in older persons, accompanied by hypertension, hyperlipidemia, arteriosclerosis and other diseases. In the early stages of T2DM, patients can have difficulties in identifying any symptoms or may only suffer from slight fatigue and thirst with no obvious hyperglycemia. The early detection of this disease may provide a means of preventing the development of this disease in a more timely way. The metabolic profiling of small molecules provides a snapshot of physiological processes. By using a metabolite profiling platform based on mass spectrometry coupled with pattern recognition analysis, outstanding biomarkers that can be used for forecasting disease may be identified. In this study, we attempted to investigate potential key metabolic pathways associated with T2DM and determine its metabolic mechanism. Using multivariate statistical analysis, 33 marker metabolites associated with the metabolism of lipids, amino acids, and carbohydrates were identified. Our experiment yielded substantial new insights into serum metabolism in type 2 diabetes mellitus patients, and these metabolites will be targets for future mechanistic research to help understand the clinical significance of these metabolic abnormalities.
机译：糖尿病对现代社会造成了巨大负担，对全球卫生造成严重威胁。肥胖的人通常具有更高的发展T2DM的风险，并且这种疾病通常被诊断为老年人，伴有高血压，高脂血症，动脉硬化和其他疾病。在T2DM的早期阶段，患者可以难以识别任何症状，或者可能只患有轻微的疲劳和渴望没有明显的高血糖。这种疾病的早期发现可以提供一种以更及时的方式预防该疾病的手段。小分子的代谢分析提供了生理过程的快照。通过使用基于质谱的代谢物分析平台与图案识别分析相结合，可以识别可用于预测疾病的卓越生物标志物。在本研究中，我们试图研究与T2DM相关的潜在关键代谢途径，并确定其代谢机制。使用多元统计分析，鉴定了33种与脂质，氨基酸和碳水化合物的代谢相关的标记代谢物。我们的实验在2型糖尿病患者中产生了大量的新见解，这些代谢物将是未来机械研究的目标，以帮助了解这些代谢异常的临床意义。

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  • 来源
    《RSC Advances》 |2017年第70期|共13页
  • 作者

    Zhao Qiqi; Zhang Aihua; Zong Wenjing; An Na; Zhang Huamin; Luan Yihan; Sun Hui; Wang Xijun; Cao Hongxin;

  • 作者单位

    Heilongjiang Univ Chinese Med Sinoamer Chinmed Technol Collaborat Ctr Natl TCM Key Lab Serum Pharmacochem Chinmed Res Ctr State Adm TCM Lab Metabol Dept Ph Heping Rd 24 Harbin Heilongjiang Peoples R China;

    Heilongjiang Univ Chinese Med Sinoamer Chinmed Technol Collaborat Ctr Natl TCM Key Lab Serum Pharmacochem Chinmed Res Ctr State Adm TCM Lab Metabol Dept Ph Heping Rd 24 Harbin Heilongjiang Peoples R China;

    China Acad Chinese Med Sci Southern St Dongzhimen 16 Beijing 100700 Peoples R China;

    Heilongjiang Univ Chinese Med Sinoamer Chinmed Technol Collaborat Ctr Natl TCM Key Lab Serum Pharmacochem Chinmed Res Ctr State Adm TCM Lab Metabol Dept Ph Heping Rd 24 Harbin Heilongjiang Peoples R China;

    China Acad Chinese Med Sci Southern St Dongzhimen 16 Beijing 100700 Peoples R China;

    China Acad Chinese Med Sci Southern St Dongzhimen 16 Beijing 100700 Peoples R China;

    Heilongjiang Univ Chinese Med Sinoamer Chinmed Technol Collaborat Ctr Natl TCM Key Lab Serum Pharmacochem Chinmed Res Ctr State Adm TCM Lab Metabol Dept Ph Heping Rd 24 Harbin Heilongjiang Peoples R China;

    Heilongjiang Univ Chinese Med Sinoamer Chinmed Technol Collaborat Ctr Natl TCM Key Lab Serum Pharmacochem Chinmed Res Ctr State Adm TCM Lab Metabol Dept Ph Heping Rd 24 Harbin Heilongjiang Peoples R China;

    Heilongjiang Univ Chinese Med Sinoamer Chinmed Technol Collaborat Ctr Natl TCM Key Lab Serum Pharmacochem Chinmed Res Ctr State Adm TCM Lab Metabol Dept Ph Heping Rd 24 Harbin Heilongjiang Peoples R China;

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