Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2016 Dec 16;2(3):470-480.
doi: 10.1016/j.ekir.2016.12.003. eCollection 2017 May.

Profiling of Plasma Metabolites Suggests Altered Mitochondrial Fuel Usage and Remodeling of Sphingolipid Metabolism in Individuals With Type 2 Diabetes and Kidney Disease

Affiliations

Profiling of Plasma Metabolites Suggests Altered Mitochondrial Fuel Usage and Remodeling of Sphingolipid Metabolism in Individuals With Type 2 Diabetes and Kidney Disease

Jian-Jun Liu et al. Kidney Int Rep. .

Abstract

Introduction: Pathophysiology of diabetic kidney disease (DKD) is incompletely understood. We aim to elucidate metabolic abnormalities associated with DKD in type 2 diabetes mellitus (T2DM) by targeted plasma metabolomics.

Methods: A total of 126 T2DM participants with early DKD (urinary albumin-to-creatinine ratio [ACR] 30-299 mg/g and eGFR ≥ 60 ml/min/1.73 m2), 154 overt DKD (ACR ≥ 300 mg/g or eGFR < 60 ml/min/1.73 m2), and 129 non-DKD T2DM controls (ACR < 30 mg/g and eGFR ≥ 60 ml/min/1.73 m2) were included in discovery study. Findings were subsequently validated in 149 T2DM with macroalbuminuria (ACR ≥ 300 mg/g) and 149 matched non-DKD T2DM controls. Plasma amino acid, acylcarnitine, Krebs cycle organic acid, and sphingolipids/ceramide levels were quantified by liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry.

Results: Of 123 metabolites included in the data analysis, 24 differed significantly between DKD and controls in the same direction in both discovery and validation subpopulations. A number of short acylcarnitines including their dicarboxylic derivatives (C2-C6) were elevated in DKD, suggesting abnormalities in fatty acids and amino acids metabolic pathways. Five phosphatidylcholines were lower whereas 4 metabolites in the sphingomyelin-ceramide subfamily were higher in DKD. Principal component regression revealed that long-chain ceramides were independently associated with ACR but not eGFR. Conversely, essential amino acids catabolism and short dicarboxylacylcarnitine accumulation were associated with eGFR but not ACR.

Discussion: DKD is associated with altered fuel substrate use and remodeling of sphingolipid metabolism in T2DM with DKD. Associations of albuminuria and impaired filtration function with distinct metabolomic signatures suggest different pathophysiology underlying these 2 manifestations of DKD.

Keywords: diabetic kidney disease; energetic fuel substrate; metabolomics; pathophysiology; type 2 diabetes mellitus.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Plasma metabolites that differed significantly between diabetic kidney disease (DKD) patients and non-DKD controls in the same direction in both discovery and validation subpopulations (highlighted in red) and the potential metabolic pathways associcated with DKD. AC, acylcarnitine; CPT-1, carnitine palmitoyltransferase I; ER, endoplasmic reticulum; FFA, free fatty acid; LCDA, long-chain dicarboxylic acid; NF-κB, nuclear factor−κB; PDC, pyruvate dehydrogenase complex; SCDA, short-chain diacids; SM, sphingomyelin; TCA, tricarboxylic acid cycle.

References

    1. Parving H.H., Lewis J.B., Ravid M. Prevalence and risk factors for microalbuminuria in a referred cohort of type II diabetic patients: A global perspective. Kidney Int. 2006;69:2057–2063. - PubMed
    1. Tuttle K.R., Bakris G.L., Bilous R.W. Diabetic kidney disease: A report from an ADA Consensus Conference. Diabetes Care. 2014;37:2864–2883. - PMC - PubMed
    1. Gregg E.W., Li Y., Wang J. Changes in diabetes-related complications in the United States, 1990–2010. N Engl J Med. 2014;370:1514–1523. - PubMed
    1. Stanton R.C. Clinical challenges in diagnosis and management of diabetic kidney disease. Am J Kidney Dis. 2014;63:S3–S21. - PubMed
    1. Shah S.H., Kraus W.E., Newgard C.B. Metabolomic profiling for the identification of novel biomarkers and mechanisms related to common cardiovascular diseases: Form and function. Circulation. 2012;126:1110–1120. - PMC - PubMed