Identification of blood metabolic biomarkers associated with diabetic distal symmetric sensorimotor polyneuropathy in patients with type 2 diabetes mellitus

Author:

Chang Kuo‐Hsuan12,Chen Chiung‐Mei12,Lin Chia‐Ni34,Tsai Sung‐Sheng25,Lyu Rong‐Kuo12,Chu Chun‐Che12,Ro Long‐Sun12,Liao Ming‐Feng12,Chang Hong‐Shiu12,Weng Yi‐Ching12,Hwang Jawl‐Shan25,Kuo Hung‐Chou12ORCID

Affiliation:

1. Department of Neurology Chang Gung Memorial Hospital, Linkou Medical Center Taoyuan City Taiwan

2. College of Medicine Chang Gung University Taoyuan City Taiwan

3. Department of Laboratory Medicine Chang Gung Memorial Hospital Taoyuan City Taiwan

4. Department of Medical Biotechnology and Laboratory Science College of Medicine, Chang Gung University Taoyuan City Taiwan

5. Division of Endocrinology and Metabolism, Department of Internal Medicine Chang Gung Memorial Hospital, Linkou Medical Center Taoyuan City Taiwan

Abstract

AbstractBackgroundDistal symmetric sensorimotor polyneuropathy (DSPN) is a common neurologic complication of type 2 diabetes mellitus (T2DM), but the underlying mechanisms and changes in serum metabolites remain largely undefined. This study aimed to characterize the plasma metabolite profiles of participants with T2DM using targeted metabolomics analysis and identify potential biomarkers for DSPN.MethodsA combined liquid chromatography MS/MS and direct flow injection were used to quantify plasma metabolite obtained from 63 participants with T2DM, 81 with DSPN, and 33 nondiabetic control participants. A total of 130 metabolites, including amino acids, biogenic amines, sphingomyelins (SM), phosphatidylcholines, carnitines, and hexose, were analyzed.ResultsA total of 16 plasma metabolites and 3 cholesterol‐related laboratory parameters were found to have variable importance in the projection score >1.0 and false discovery rate <5.0% between control, T2DM, and DSPN. Among these variables, five serum metabolites, including phenylalanine (AUC = 0.653), alanine (AUC = 0.630), lysine (AUC = 0.622) tryptophan (AUC = 0.620), and SM C16:0 (AUC = 0.630), are potential biomarkers (all p < .05) in distinguishing T2DM with DSPN from those without (AUC = 0.720).ConclusionsIn this cross‐sectional study, derangement of several metabolites in the plasma was observed in T2DM with and without DSPN, and these metabolites may be potential biomarkers for predicting DSPN. Longitudinal studies are warranted.

Funder

Chang Gung Memorial Hospital

Ministry of Science and Technology, Taiwan

Publisher

Wiley

Subject

Neurology (clinical),General Neuroscience

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