The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
A Metabolite Array Technology for Precision Medicine
Abstract
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.
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Self-citationMetabolomics—the link between genotypes and phenotypes
Fiehn, O. (2002) · Plant Molecular Biology · doi:10.1023/a:1013713905833 · Cited by 3,445
Metabolomics — the link between genotypes and phenotypes
Fiehn, O. (2002) · Functional Genomics · doi:10.1007/978-94-010-0448-0_11 · Cited by 3,167
Bile acid-microbiota crosstalk in gastrointestinal inflammation and carcinogenesis
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Self-citationHMDB: a knowledgebase for the human metabolome
Wishart, D. S., Knox, C., Guo, A. C., Eisner, R., Young, N., Gautam, B., Hau, D. D., Psychogios, N., Dong, E., Bouatra, S., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn810 · Cited by 1,873
Self-citationHan, J., Lin, K., Sequeira, C., & Borchers, C. H. (2015) · Analytica Chimica Acta · doi:10.1016/j.aca.2014.11.015 · Cited by 521
Serum Metabolite Profiling of Human Colorectal Cancer Using GC−TOFMS and UPLC−QTOFMS
Qiu, Y., Cai, G., Su, M., Chen, T., Zheng, X., Xu, Y., Ni, Y., Zhao, A., Xu, L. X., Cai, S., et al. (2009) · Journal of Proteome Research · doi:10.1021/pr9004162 · Cited by 395
Self-citationSerum and Urine Metabolite Profiling Reveals Potential Biomarkers of Human Hepatocellular Carcinoma
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Self-citationCross-Platform Comparison of Methods for Quantitative Metabolomics of Primary Metabolism
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The Footprints of Gut Microbial–Mammalian Co-Metabolism
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Cited by
Gut microbial-derived phenylacetylglutamine accelerates host cellular senescence
Yang, H., Wang, T., Qian, C., Wang, H., Yu, D., Shi, M., Fu, M., Liu, X., Pan, M., Rong, X., et al. (2025) · Nature Aging · doi:10.1038/s43587-024-00795-w · Cited by 86
Zhao, S., Fu, H., Zhou, T., Cai, M., Huang, Y., Gan, Q., Zhang, C., Qian, C., Wang, J., Zhang, Z., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.772368 · Cited by 26
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Metadata
- Authors
- Xie, G., Wang, L., Chen, T., Zhou, K., Zhang, Z., Li, J., Sun, B., Guo, Y., Wang, X., Wang, Y., Zhang, H., Liu, P., Nicholson, J. K., Ge, W., & Jia, W.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-04-02
- Volume
- 93
- Issue
- 14
- Pages
- 5709-5717
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W3142605790
- Cited by
- 266
- References
- 24
- FWCI
- 12.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- Xie, G., Wang, L., Chen, T., Zhou, K., Zhang, Z., Li, J., Sun, B., Guo, Y., Wang, X., Wang, Y., Zhang, H., Liu, P., Nicholson, J. K., Ge, W., & Jia, W. (2021). A Metabolite Array Technology for Precision Medicine. Analytical Chemistry. https://doi.org/10.1021/acs.analchem.0c04686
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