期刊
FRONTIERS IN ONCOLOGY
卷 10, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fonc.2020.01507
关键词
plasma; metabolomics; lipidomics; renal cell carcinoma; biomarker
类别
资金
- National Key Research and Development Program of China [2016YFC1306300, 2018YFC0910202]
- National Natural Science Foundation of China [31901039, 30970650, 31200614, 31400669, 81371515, 81670611]
- Beijing Natural Science Foundation [5132028]
- Basic scientific research [2017PT310004]
- Beijing Normal University [11100704]
- CAMS Innovation Fund for Medical Sciences [2017-I2M-1-009]
- Biologic Medicine Information Center, National Scientific Data Sharing Platform for Population and Health
Plasma metabolomics and lipidomics have been commonly used for biomarker discovery. Studies in white and Japanese populations suggested that gender and age can affect circulating plasma metabolite profiles; however, the metabolomics characteristics in Chinese population has not been surveyed. In our study, we applied liquid chromatography-mass spectrometry-based approach to analyze Chinese plasma metabolome and lipidome in a cohort of 534 healthy adults (aging from 15 to 79). Fatty-acid metabolism was found to be gender- and age-dependent in Chinese, similar with metabolomics characteristics in Japanese and white populations. Differently, lipids, such as TGs and DGs, were found to be gender-independent in Chinese population. Moreover, nicotinate and nicotinamide metabolism was found to be specifically age-related in Chinese. The application of plasma metabolome and lipidome for renal cell carcinoma diagnosis (143 RCC patients and 34 benign kidney tumor patients) showed good accuracy, with an area under the curve (AUC) of 0.971 for distinction from healthy control, and 0.839 for distinction from the benign. Bile acid metabolism was found to be related to RCC probably combination with intestinal microflora. Definition of the variation and characteristics of Chinese normal plasma metabolome and lipidome might provide a basis for disease biomarker analysis.
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