机构：[1]Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China[2]Human Metabolomics Institute, Inc., Shenzhen, Guangdong 518109, China[3]Department of Hepatobiliary Surgery, The Nanjing Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, Jiangsu 210009, China[4]Hong Kong Traditional Chinese Medicine Phenome Research Centre, School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong Kong 999077, China[5]E-Institute of Shanghai Municipal Education Committee, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China[6]Australian National Phenome Center, Health Futures Institute, Murdoch University, Perth, WA 6150, Australia[7]Department of Pharmacy, The Nanjing Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, Jiangsu 210009, China[9]Human Metabolomics Institute, Inc., Shenzhen, Guangdong 518109, China
The application of metabolomics in translational research suffers from several technological bottlenecks, such as data reproducibility issues and the lack of standardization of sample profiling procedures. Here, we report an automated high-throughput metabolite array technology that can rapidly and quantitatively determine 324 metabolites including fatty acids, amino acids, organic acids, carbohydrates, and bile acids. Metabolite identification and quantification is achieved using the Targeted Metabolome Batch Quantification (TMBQ) software, the first cross-vendor data processing pipeline. A test of this metabolite array was performed by analyzing serum samples from patients with chronic liver disease (N = 1234). With high detection efficiency and sensitivity in serum, urine, feces, cell lysates, and liver tissue samples and suitable for different mass spectrometry systems, this metabolite array technology holds great potential for biomarker discovery and high throughput clinical testing. Additionally, data generated from such standardized procedures can be used to generate a clinical metabolomics database suitable for precision medicine in next-generation healthcare.
基金：
the Shenzhen Science,
Technology and Innovation Commission (2020(82)) and the
National Natural Science Foundation of China (81974073).
语种：
外文
PubmedID：
中科院(CAS)分区：
出版当年[2020]版：
大类|1 区化学
小类|1 区分析化学
最新[2025]版：
大类|1 区化学
小类|1 区分析化学
第一作者：
第一作者机构：[1]Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China[2]Human Metabolomics Institute, Inc., Shenzhen, Guangdong 518109, China[*1]Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai 200233, China
共同第一作者：
通讯作者：
通讯机构：[1]Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China[2]Human Metabolomics Institute, Inc., Shenzhen, Guangdong 518109, China[4]Hong Kong Traditional Chinese Medicine Phenome Research Centre, School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong Kong 999077, China[7]Department of Pharmacy, The Nanjing Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, Jiangsu 210009, China[*1]Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai 200233, China[*2]Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai 200233, China , Hong Kong Traditional Chinese Medicine Phenome Research Centre, School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong Kong 999077, China[*3]Department of Pharmacy, The Nanjing Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, Jiangsu 210009, China
化学