TY - JOUR
T1 - A Metabolite Array Technology for Precision Medicine
AU - Xie, Guoxiang
AU - Wang, Lu
AU - Chen, Tianlu
AU - Zhou, Kejun
AU - Zhang, Zechuan
AU - Li, Jiufeng
AU - Sun, Beicheng
AU - Guo, Yike
AU - Wang, Xiaoning
AU - Wang, Yixing
AU - Zhang, Hua
AU - Liu, Ping
AU - Nicholson, Jeremy K.
AU - Ge, Weihong
AU - Jia, Wei
N1 - Funding Information:
This work was partially supported by the Shenzhen Science, Technology and Innovation Commission (2020(82)) and the National Natural Science Foundation of China (81974073).
Publisher Copyright:
© 2021 American Chemical Society
PY - 2021/4/13
Y1 - 2021/4/13
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85104922383&partnerID=8YFLogxK
U2 - 10.1021/acs.analchem.0c04686
DO - 10.1021/acs.analchem.0c04686
M3 - Journal article
AN - SCOPUS:85104922383
SN - 0003-2700
VL - 93
SP - 5709
EP - 5717
JO - Analytical Chemistry
JF - Analytical Chemistry
IS - 14
ER -