Metabolomic profiles in serum and urine uncover novel biomarkers in children with nephrotic syndrome

• DOI: 10.1111/eci.13978
• Publication Date: 2023-03-01T09:38:53Z
• Authors: Lidan Hu; Li Lin; Guoping Huang; Yi Xie; Zhaoyang Peng; Fei Liu; Guannan Bai; Wei Li; Langping Gao; Yan Wang; Qiuyu Li; Haidong Fu; Jingjing Wang; Qingnan Sun; Jianhua Mao
• Keywords: Metabolic pathway; Metabolome

Nephrotic syndrome is common in children and adults worldwide, steroid-sensitive nephrotic (SSNS) accounts for 80%. Aberrant metabolism involvement early SSNS sparsely studied, its pathogenesis remains unclear. Therefore, the goal of this study was to investigate changes initiated patients-related metabolites through serum urine metabolomics discover novel potential metabolic pathways.Serum samples (27 56 controls) (17 24 were collected. Meanwhile, non-targeted analyses performed by ultra-high-performance liquid chromatography-quadrupole time flight-mass spectrometry (UHPLC-QTOF-MS) determine SSNS. We applied causal inference model, DoWhy assess effects several selected metabolites. An ultraperformance chromatography-tandem mass (UPLC-MS/MS) used validate hits (D-mannitol, dulcitol, D-sorbitol, XMP, NADPH, NAD, bilirubin, α-KG-like) 41 43 controls. In addition, pathways explored.Compared urine, analysis more clearly discriminated at 194 differential five obtained group. Eight identified establishing diagnostic model SSNS, four variables had a positive effect. After validation targeted MS, except others have similar trends like untargeted analysis.With further quantitative analysis, we found seven may be new biomarkers risk prediction diagnosis