Investigation of Plasma Metabolic and Lipidomic Characteristics of a Chinese Cohort and a Pilot Study of Renal Cell Carcinoma Biomarker

Abstract

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.

Unveiling metabolic changes in marsupialized odontogenic keratocyst: A pilot study

“…Mummichog, GSEA (Gene Set Enrichment Analysis), and their combination (Mummichog +GSEA) were applied in this study, in the “MS Peaks to Pathways” module (version 1) of MetaboAnalyst 4.0 (Chong et al., 2019; Li et al., 2013; Liu et al., 2020). The input tables are shown in Table .…”

Influence of Dietary Polyunsaturated Fatty Acid Intake on Potential Lipid Metabolite Diagnostic Markers in Renal Cell Carcinoma: A Case-Control Study

“…To the best of our knowledge, 13 prior case-control studies have identified potential metabolic biomarkers in plasma [6][7][8][9][10] or serum [11][12][13][14][15][16][17][18] that distinguish RCC from controls. The proposed profiles include lipids, lipoproteins [6][7][8][9][13][14][15]17,18], amino acids [6][7][8]10,[12][13][14]17], and carbohydrates [7,11,13,14,16]. However, robust RCC diagnostic biomarkers remain unclear.…”

“…Amino acid and lipid metabolism are vital in RCC. Prior studies lacked systematic analyses of specific amino acids and lipids in the plasma of patients with RCC, as they mainly used qualitative mass spectrometry methods [23], such as proton nuclear magnetic resonance [7,13,16], MS or multivariate models [10][11][12]14,18], and liquid chromatography (LC)-MS [8,9,15,17]. Our study quantified plasma metabolites and lipids using an Abso-luteIDQ p400 high-resolution (HR) kit and ultra-high-performance LC (UHPLC)-MS, which allowed for absolute quantification.…”

Integrated Analysis of Metabolomics and Lipidomics in Plasma of T2DM Patients with Diabetic Retinopathy

“…Lipidomics is a more targeted model used to systemically analyze the composition and expression levels of lipid molecules [23] and has also been applied in research on diabetes [24,25] and DR [26][27][28]. Recently, an increasing number of studies have used both metabolomics and lipidomics to investigate potential biomarkers and mechanisms [29,30] and have expanded the understanding of the pathogenesis of many diseases.…”