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Metabolomic profiling reveals the step-wise alteration of bile acid metabolism in patients with diabetic kidney disease

Qing Zhang, Liqian Lu, Jiao Wang, Manman Lu, Dongwei Liu, C.S. Zhou, Zhangsuo Liu

2024Nutrition and Diabetes18 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Diabetic kidney disease (DKD) is the major complication of diabetes concomitant with gut dysbiosis and glycometabolic disorder, which are strongly associated with bile acid (BA) metabolism. Yet studies investigating the BA metabolism involving in DKD pathogenesis are limited. This study aimed to explore the metabolomic profiling of BAs in DKD and analyze its association with DKD progression. METHODS: An ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) method was established to quantify BAs in the plasma, fecal and urine samples of patients with DKD or T2DM and healthy individuals (n = 30 for each group). The key BAs associated with DKD were identified by orthogonal partial least-squares discriminant analysis (OPLS-DA) and receiver-operating characteristic (ROC) curve. Polynomial regression and Pearson's correlation analyses were performed to assess the correlation between the key BAs and the clinical indicators reflecting DKD progression. RESULTS: Metabolomic profiling of 50 kinds of BAs presented the markedly step-wise alterations of BAs in plasma and feces as well as the little in urine of patients with DKD. Eight kinds of BAs in the plasma, eight kinds in the feces and three kinds in the urine were abnormally expressed, accompanying with the increased conjugated/unconjugated ratios of cholic acid, deoxycholic acid, chenodeoxycholic acid, ursodeoxycholic acid and hyocholic acid in the plasma, and of cholic acid, chenodeoxycholic acid and lithocholic acid in the feces. Moreover, the increased plasma level of glycochenodeoxycholic acid, and the increased fecal levels of glycolithocholic acid, 7-ketodeoxycholic acid and chenodeoxycholic acid-3-β-D-glucuronide are strongly correlated with the clinical indicators reflecting DKD progression, including eGFR, 24 h urinary protein and 24 h urinary microalbumin. CONCLUSIONS: Our study for the first time disclosed the specific alterations of BA metabolism reflecting the step-wise progression of DKD, providing the basis for early identification and therapeutical strategies for DKD.

Topics & Concepts

MetabolomicsBile acidDiseaseProfiling (computer programming)MetabolismKidney diseaseDiabetes mellitusMedicineBioinformaticsInternal medicineComputational biologyChemistryEndocrinologyBiologyComputer scienceOperating systemDrug Transport and Resistance MechanismsGut microbiota and healthLiver Disease Diagnosis and Treatment
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