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Risk Factors for Cognitive Impairment in Patients with Type 2 Diabetes

OBJECTIVES: To investigate the risk factors for cognitive impairment in Chinese type 2 diabetes mellitus (T2DM) patients of advanced age and to identify effective biomarkers of mild cognitive impairment (MCI) in these patients. METHODS: Chinese T2DM patients (n = 120) aged 50–70 years were divided i...

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Autores principales: Sun, Lin, Diao, Xue, Gang, Xiaokun, Lv, You, Zhao, Xue, Yang, Shuo, Gao, Ying, Wang, Guixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7196145/
https://www.ncbi.nlm.nih.gov/pubmed/32377520
http://dx.doi.org/10.1155/2020/4591938
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author Sun, Lin
Diao, Xue
Gang, Xiaokun
Lv, You
Zhao, Xue
Yang, Shuo
Gao, Ying
Wang, Guixia
author_facet Sun, Lin
Diao, Xue
Gang, Xiaokun
Lv, You
Zhao, Xue
Yang, Shuo
Gao, Ying
Wang, Guixia
author_sort Sun, Lin
collection PubMed
description OBJECTIVES: To investigate the risk factors for cognitive impairment in Chinese type 2 diabetes mellitus (T2DM) patients of advanced age and to identify effective biomarkers of mild cognitive impairment (MCI) in these patients. METHODS: Chinese T2DM patients (n = 120) aged 50–70 years were divided into groups with impaired (mild, moderate, and severe) and normal cognitive function based on Montreal Cognitive Assessment and Mini-Mental State Examination scores. Data regarding demographic characteristics, clinical features of diabetes, biochemical markers, and metabolomics were collected. RESULTS: Age, educational level, duration of diabetes, fasting blood glucose (FBG), HbA1c, total cholesterol (TC), triglyceride (TG), and 24-hour urine protein were significantly associated with cognitive impairment in T2DM patients of advanced age. The severity of fundus retinopathy and the incidence of macrovascular disease also differed significantly among the groups (P < 0.05). Metabolomics analysis suggested that increased levels of glutamate (Glu), phenylalanine (Phe), tyrosine (Tyr), proline (Pro), and homocysteine (Hcy) and a decreased level of glutamine (Gln) were significantly associated with cognitive impairment in the T2DM patients (P < 0.05). Receiver operating characteristic curve analysis demonstrated that Glu, Gln, Phe, and Pro levels were significant predictors of cognitive impairment in the T2DM patients. CONCLUSIONS: Age, educational level, duration of diabetes, and the levels of FBG, HbA1c, TC, TG, and 24-hour urine protein were considered as independent risk factors for cognitive impairment in older T2DM patients. Macrovascular and microvascular diseases also were closely associated with cognitive impairment in these patients. Together, Glu and Gln levels may represent a good predictive biomarker for the early diagnosis of cognitive impairment in T2DM patients.
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spelling pubmed-71961452020-05-06 Risk Factors for Cognitive Impairment in Patients with Type 2 Diabetes Sun, Lin Diao, Xue Gang, Xiaokun Lv, You Zhao, Xue Yang, Shuo Gao, Ying Wang, Guixia J Diabetes Res Research Article OBJECTIVES: To investigate the risk factors for cognitive impairment in Chinese type 2 diabetes mellitus (T2DM) patients of advanced age and to identify effective biomarkers of mild cognitive impairment (MCI) in these patients. METHODS: Chinese T2DM patients (n = 120) aged 50–70 years were divided into groups with impaired (mild, moderate, and severe) and normal cognitive function based on Montreal Cognitive Assessment and Mini-Mental State Examination scores. Data regarding demographic characteristics, clinical features of diabetes, biochemical markers, and metabolomics were collected. RESULTS: Age, educational level, duration of diabetes, fasting blood glucose (FBG), HbA1c, total cholesterol (TC), triglyceride (TG), and 24-hour urine protein were significantly associated with cognitive impairment in T2DM patients of advanced age. The severity of fundus retinopathy and the incidence of macrovascular disease also differed significantly among the groups (P < 0.05). Metabolomics analysis suggested that increased levels of glutamate (Glu), phenylalanine (Phe), tyrosine (Tyr), proline (Pro), and homocysteine (Hcy) and a decreased level of glutamine (Gln) were significantly associated with cognitive impairment in the T2DM patients (P < 0.05). Receiver operating characteristic curve analysis demonstrated that Glu, Gln, Phe, and Pro levels were significant predictors of cognitive impairment in the T2DM patients. CONCLUSIONS: Age, educational level, duration of diabetes, and the levels of FBG, HbA1c, TC, TG, and 24-hour urine protein were considered as independent risk factors for cognitive impairment in older T2DM patients. Macrovascular and microvascular diseases also were closely associated with cognitive impairment in these patients. Together, Glu and Gln levels may represent a good predictive biomarker for the early diagnosis of cognitive impairment in T2DM patients. Hindawi 2020-04-23 /pmc/articles/PMC7196145/ /pubmed/32377520 http://dx.doi.org/10.1155/2020/4591938 Text en Copyright © 2020 Lin Sun et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sun, Lin
Diao, Xue
Gang, Xiaokun
Lv, You
Zhao, Xue
Yang, Shuo
Gao, Ying
Wang, Guixia
Risk Factors for Cognitive Impairment in Patients with Type 2 Diabetes
title Risk Factors for Cognitive Impairment in Patients with Type 2 Diabetes
title_full Risk Factors for Cognitive Impairment in Patients with Type 2 Diabetes
title_fullStr Risk Factors for Cognitive Impairment in Patients with Type 2 Diabetes
title_full_unstemmed Risk Factors for Cognitive Impairment in Patients with Type 2 Diabetes
title_short Risk Factors for Cognitive Impairment in Patients with Type 2 Diabetes
title_sort risk factors for cognitive impairment in patients with type 2 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7196145/
https://www.ncbi.nlm.nih.gov/pubmed/32377520
http://dx.doi.org/10.1155/2020/4591938
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