Metabolomic Signature of Diabetic Kidney Disease in Cerebrospinal Fluid and Plasma of Patients with Type 2 Diabetes Using Liquid Chromatography-Mass Spectrometry

Diabetic kidney disease (DKD) is the major cause of end stage renal disease in patients with type 2 diabetes mellitus (T2DM). The subtle metabolic changes in plasma and cerebrospinal fluid (CSF) might precede the development of DKD by years. In this longitudinal study, CSF and plasma samples were co...

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Main Authors: Huan-Tang Lin, Mei-Ling Cheng, Chi-Jen Lo, Gigin Lin, Fu-Chao Liu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/12/11/2626
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author Huan-Tang Lin
Mei-Ling Cheng
Chi-Jen Lo
Gigin Lin
Fu-Chao Liu
author_facet Huan-Tang Lin
Mei-Ling Cheng
Chi-Jen Lo
Gigin Lin
Fu-Chao Liu
author_sort Huan-Tang Lin
collection DOAJ
description Diabetic kidney disease (DKD) is the major cause of end stage renal disease in patients with type 2 diabetes mellitus (T2DM). The subtle metabolic changes in plasma and cerebrospinal fluid (CSF) might precede the development of DKD by years. In this longitudinal study, CSF and plasma samples were collected from 28 patients with T2DM and 25 controls, during spinal anesthesia for elective surgery in 2017. These samples were analyzed using liquid chromatography-mass spectrometry (LC-MS) in 2017, and the results were correlated with current DKD in 2017, and the development of new-onset DKD, in 2021. Comparing patients with T2DM having new-onset DKD with those without DKD, revealed significantly increased CSF tryptophan and plasma uric acid levels, whereas phosphatidylcholine 36:4 was lower. The altered metabolites in the current DKD cases were uric acid and paraxanthine in the CSF and uric acid, L-acetylcarnitine, bilirubin, and phosphatidylethanolamine 38:4 in the plasma. These metabolic alterations suggest the defective mitochondrial fatty acid oxidation and purine and phospholipid metabolism in patients with DKD. A correlation analysis found CSF uric acid had an independent positive association with the urine albumin-to-creatinine ratio. In conclusion, these identified CSF and plasma biomarkers of DKD in diabetic patients, might be valuable for monitoring the DKD progression.
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spelling doaj.art-116a7ad0c8de4863b9304d4d3b5b83412023-11-24T04:18:17ZengMDPI AGDiagnostics2075-44182022-10-011211262610.3390/diagnostics12112626Metabolomic Signature of Diabetic Kidney Disease in Cerebrospinal Fluid and Plasma of Patients with Type 2 Diabetes Using Liquid Chromatography-Mass SpectrometryHuan-Tang Lin0Mei-Ling Cheng1Chi-Jen Lo2Gigin Lin3Fu-Chao Liu4Department of Anesthesiology, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan 333, TaiwanMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 333, TaiwanMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 333, TaiwanClinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital, Taoyuan 333, TaiwanDepartment of Anesthesiology, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan 333, TaiwanDiabetic kidney disease (DKD) is the major cause of end stage renal disease in patients with type 2 diabetes mellitus (T2DM). The subtle metabolic changes in plasma and cerebrospinal fluid (CSF) might precede the development of DKD by years. In this longitudinal study, CSF and plasma samples were collected from 28 patients with T2DM and 25 controls, during spinal anesthesia for elective surgery in 2017. These samples were analyzed using liquid chromatography-mass spectrometry (LC-MS) in 2017, and the results were correlated with current DKD in 2017, and the development of new-onset DKD, in 2021. Comparing patients with T2DM having new-onset DKD with those without DKD, revealed significantly increased CSF tryptophan and plasma uric acid levels, whereas phosphatidylcholine 36:4 was lower. The altered metabolites in the current DKD cases were uric acid and paraxanthine in the CSF and uric acid, L-acetylcarnitine, bilirubin, and phosphatidylethanolamine 38:4 in the plasma. These metabolic alterations suggest the defective mitochondrial fatty acid oxidation and purine and phospholipid metabolism in patients with DKD. A correlation analysis found CSF uric acid had an independent positive association with the urine albumin-to-creatinine ratio. In conclusion, these identified CSF and plasma biomarkers of DKD in diabetic patients, might be valuable for monitoring the DKD progression.https://www.mdpi.com/2075-4418/12/11/2626diabetes mellituscerebrospinal fluidmetabolomicsdiabetic kidney diseasemass spectrometry
spellingShingle Huan-Tang Lin
Mei-Ling Cheng
Chi-Jen Lo
Gigin Lin
Fu-Chao Liu
Metabolomic Signature of Diabetic Kidney Disease in Cerebrospinal Fluid and Plasma of Patients with Type 2 Diabetes Using Liquid Chromatography-Mass Spectrometry
Diagnostics
diabetes mellitus
cerebrospinal fluid
metabolomics
diabetic kidney disease
mass spectrometry
title Metabolomic Signature of Diabetic Kidney Disease in Cerebrospinal Fluid and Plasma of Patients with Type 2 Diabetes Using Liquid Chromatography-Mass Spectrometry
title_full Metabolomic Signature of Diabetic Kidney Disease in Cerebrospinal Fluid and Plasma of Patients with Type 2 Diabetes Using Liquid Chromatography-Mass Spectrometry
title_fullStr Metabolomic Signature of Diabetic Kidney Disease in Cerebrospinal Fluid and Plasma of Patients with Type 2 Diabetes Using Liquid Chromatography-Mass Spectrometry
title_full_unstemmed Metabolomic Signature of Diabetic Kidney Disease in Cerebrospinal Fluid and Plasma of Patients with Type 2 Diabetes Using Liquid Chromatography-Mass Spectrometry
title_short Metabolomic Signature of Diabetic Kidney Disease in Cerebrospinal Fluid and Plasma of Patients with Type 2 Diabetes Using Liquid Chromatography-Mass Spectrometry
title_sort metabolomic signature of diabetic kidney disease in cerebrospinal fluid and plasma of patients with type 2 diabetes using liquid chromatography mass spectrometry
topic diabetes mellitus
cerebrospinal fluid
metabolomics
diabetic kidney disease
mass spectrometry
url https://www.mdpi.com/2075-4418/12/11/2626
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