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Identification of blood metabolic biomarkers associated with diabetic distal symmetric sensorimotor polyneuropathy in patients with type 2 diabetes mellitus.
Chang, Kuo-Hsuan; Chen, Chiung-Mei; Lin, Chia-Ni; Tsai, Sung-Sheng; Lyu, Rong-Kuo; Chu, Chun-Che; Ro, Long-Sun; Liao, Ming-Feng; Chang, Hong-Shiu; Weng, Yi-Ching; Hwang, Jawl-Shan; Kuo, Hung-Chou.
Afiliação
  • Chang KH; Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan.
  • Chen CM; College of Medicine, Chang Gung University, Taoyuan City, Taiwan.
  • Lin CN; Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan.
  • Tsai SS; College of Medicine, Chang Gung University, Taoyuan City, Taiwan.
  • Lyu RK; Department of Laboratory Medicine, Chang Gung Memorial Hospital, Taoyuan City, Taiwan.
  • Chu CC; Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan City, Taiwan.
  • Ro LS; College of Medicine, Chang Gung University, Taoyuan City, Taiwan.
  • Liao MF; Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan.
  • Chang HS; Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan.
  • Weng YC; College of Medicine, Chang Gung University, Taoyuan City, Taiwan.
  • Hwang JS; Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan.
  • Kuo HC; College of Medicine, Chang Gung University, Taoyuan City, Taiwan.
J Peripher Nerv Syst ; 28(4): 651-663, 2023 12.
Article em En | MEDLINE | ID: mdl-37831393
ABSTRACT

BACKGROUND:

Distal 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.

METHODS:

A 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.

RESULTS:

A 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 C160 (AUC = 0.630), are potential biomarkers (all p < .05) in distinguishing T2DM with DSPN from those without (AUC = 0.720).

CONCLUSIONS:

In 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Polineuropatias / Diabetes Mellitus Tipo 2 / Neuropatias Diabéticas Limite: Humans Idioma: En Revista: J Peripher Nerv Syst Assunto da revista: NEUROLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Polineuropatias / Diabetes Mellitus Tipo 2 / Neuropatias Diabéticas Limite: Humans Idioma: En Revista: J Peripher Nerv Syst Assunto da revista: NEUROLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan