TY - JOUR ID - 13932 TI - Metabolomics approach reveals urine biomarkers and pathways associated with the pathogenesis of lupus nephritis JO - Iranian Journal of Basic Medical Sciences JA - IJBMS LA - en SN - 2008-3866 AU - Kalantari, Shiva AU - Chashmniam, Saeed AU - Nafar, Mohsen AU - Zakeri, Zahra AU - Parvin, Mahmoud AD - Chronic Kidney Disease Research Center, Shahid Beheshti University of Medical Sciences, Tehran-Iran AD - Department of Chemistry, Sharif University of Technology, Tehran, Iran AD - Urology-Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran AD - Department of Rheumatology, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences Tehran, Iran AD - Department of Pathology, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences Tehran, Iran Y1 - 2019 PY - 2019 VL - 22 IS - 11 SP - 1288 EP - 1295 KW - Biomarker KW - Lupus nephritis KW - Metabolomics KW - Non-invasive diagnosis KW - Nuclear magnetic resonance KW - Urinary metabolites DO - 10.22038/ijbms.2019.38713.9178 N2 - Objective(s): lupus nephritis (LN) is a severe form of systemic lupus erythematosus (SLE) with renal complications. Current diagnosis is based on invasive renal biopsy and serum antibodies and complement levels that are not specific enough. The current study aims to identify new biomarker candidates for non-invasive diagnosis of LN and explore the pathogenic mechanisms that contribute to renal injury. Materials and Methods: A metabolomics approach using 1H-nuclear magnetic resonance (1H-NMR), was developed for comparison of urine metabolic profile of 14 LN patients, 10 SLE patients, and 11 healthy controls (HCs). Differential biomarker candidates were identified by using multivariate modeling, and their diagnostic accuracy was evaluated by receiver operating characteristic analysis (ROC).  Results: Three metabolites were common in differentiating all three groups including beta-alanine, 2,2-dimethylsucssinic acid, and 3,4-Dihydroxyphenylacetaldehyde and suggested as a diagnostic panel for LN with AUC of 0.89, sensitivity of 81 %, and specificity of 100 %. Complementary analyses on pathways indicated that nicotinate and nicotinamide metabolism is the most important perturbed pathway in LN.Conclusion: Metabolomics is a useful tool for identification of biomarkers with the ability to diagnose LN patients and predict perturbed pathways responsible for renal injury. UR - https://ijbms.mums.ac.ir/article_13932.html L1 - https://ijbms.mums.ac.ir/article_13932_02d68c6af0b4cbbe0e6c57aa099d75ae.pdf ER -