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Biomarkers for Early Diagnostic of Mild Cognitive Impairment in Type-2 Diabetes Patients: A Multicentre, Retrospective, Nested Case–Control Study

BACKGROUND: Both type 2 diabetes mellitus (T2DM) and Alzheimer's disease (AD) are common age-associated disorders and T2DM patients show an increased risk to suffer from AD, however, there is currently no marker to identify who in T2DM populations will develop AD. Since glycogen synthase kinase...

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Autores principales: Xu, Zhi-Peng, Yang, Su-Lian, Zhao, Shi, Zheng, Cheng-Hong, Li, Hong-Hua, Zhang, Yao, Huang, Rong-Xi, Li, Meng-Zhu, Gao, Yuan, Zhang, Shu-Juan, Zhan, Pei-Yan, Zhang, Li-Fang, Deng, Lin, Wei, Sheng, Liu, Yan-Chao, Ye, Jing-Wang, Ren, Hu-Jun, Li, Na, Kong, Cai-Xia, Wang, Xin, Fang, Lin, Zhou, Qiu-Zhi, Jiang, Hong-Wei, Li, Jing-Rong, Wang, Qun, Ke, Dan, Liu, Gong-Ping, Wang, Jian-Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816853/
https://www.ncbi.nlm.nih.gov/pubmed/27077117
http://dx.doi.org/10.1016/j.ebiom.2016.02.014
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author Xu, Zhi-Peng
Yang, Su-Lian
Zhao, Shi
Zheng, Cheng-Hong
Li, Hong-Hua
Zhang, Yao
Huang, Rong-Xi
Li, Meng-Zhu
Gao, Yuan
Zhang, Shu-Juan
Zhan, Pei-Yan
Zhang, Li-Fang
Deng, Lin
Wei, Sheng
Liu, Yan-Chao
Ye, Jing-Wang
Ren, Hu-Jun
Li, Na
Kong, Cai-Xia
Wang, Xin
Fang, Lin
Zhou, Qiu-Zhi
Jiang, Hong-Wei
Li, Jing-Rong
Wang, Qun
Ke, Dan
Liu, Gong-Ping
Wang, Jian-Zhi
author_facet Xu, Zhi-Peng
Yang, Su-Lian
Zhao, Shi
Zheng, Cheng-Hong
Li, Hong-Hua
Zhang, Yao
Huang, Rong-Xi
Li, Meng-Zhu
Gao, Yuan
Zhang, Shu-Juan
Zhan, Pei-Yan
Zhang, Li-Fang
Deng, Lin
Wei, Sheng
Liu, Yan-Chao
Ye, Jing-Wang
Ren, Hu-Jun
Li, Na
Kong, Cai-Xia
Wang, Xin
Fang, Lin
Zhou, Qiu-Zhi
Jiang, Hong-Wei
Li, Jing-Rong
Wang, Qun
Ke, Dan
Liu, Gong-Ping
Wang, Jian-Zhi
author_sort Xu, Zhi-Peng
collection PubMed
description BACKGROUND: Both type 2 diabetes mellitus (T2DM) and Alzheimer's disease (AD) are common age-associated disorders and T2DM patients show an increased risk to suffer from AD, however, there is currently no marker to identify who in T2DM populations will develop AD. Since glycogen synthase kinase-3β (GSK-3β) activity, ApoE genotypes and olfactory function are involved in both T2DM and AD pathogenesis, we investigate whether alterations of these factors can identify cognitive impairment in T2DM patients. METHODS: The cognitive ability was evaluated using Minimum Mental State Examination (MMSE) and Clinical Dementia Rating (CDR), and the mild cognitive impairment (MCI) was diagnosed by Petersen's criteria. GSK-3β activity in platelet, ApoE genotypes in leucocytes and the olfactory function were detected by Western/dot blotting, the amplification refractory mutation system (ARMS) PCR and the Connecticut Chemosensory Clinical Research Center (CCCRC) test, respectively. The odds ratio (OR) and 95% confidence intervals (95% CI) of the biomarkers for MCI diagnosis were calculated by logistic regression. The diagnostic capability of the biomarkers was evaluated by receiver operating characteristics (ROC) analyses. FINDINGS: We recruited 694 T2DM patients from Jan. 2012 to May. 2015 in 5 hospitals (Wuhan), and 646 of them met the inclusion criteria and were included in this study. 345 patients in 2 hospitals were assigned to the training set, and 301 patients in another 3 hospitals assigned to the validation set. Patients in each set were randomly divided into two groups: T2DM without MCI (termed T2DM-nMCI) or with MCI (termed T2DM-MCI). There were no significant differences for sex, T2DM years, hypertension, hyperlipidemia, coronary disease, complications, insulin treatment, HbA1c, ApoE ε2, ApoE ε3, tGSK3β and pS9GSK3β between the two groups. Compared with the T2DM-nMCI group, T2DM-MCI group showed lower MMSE score with older age, ApoE ε4 allele, higher olfactory score and higher rGSK-3β (ratio of total GSK-3β to Ser9-phosphorylated GSK-3β) in the training set and the validation set. The OR values of age, ApoE ε4 gene, olfactory score and rGSK-3β were 1.09, 2.09, 1.51, 10.08 in the training set, and 1.06, 2.67, 1.47, 7.19 in the validation set, respectively. The diagnostic accuracy of age, ApoE ε4 gene, olfactory score and rGSK-3β were 0.76, 0.72, 0.66, 0.79 in the training set, and 0.70, 0.68, 0.73, 0.79 in the validation set, respectively. These four combined biomarkers had the area under the curve (AUC) of 82% and 86%, diagnostic accuracy of 83% and 81% in the training set and the validation set, respectively. INTERPRETATION: Aging, activation of peripheral circulating GSK-3β, expression of ApoE ε4 and increase of olfactory score are diagnostic for the mild cognitive impairment in T2DM patients, and combination of these biomarkers can improve the diagnostic accuracy.
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spelling pubmed-48168532016-04-13 Biomarkers for Early Diagnostic of Mild Cognitive Impairment in Type-2 Diabetes Patients: A Multicentre, Retrospective, Nested Case–Control Study Xu, Zhi-Peng Yang, Su-Lian Zhao, Shi Zheng, Cheng-Hong Li, Hong-Hua Zhang, Yao Huang, Rong-Xi Li, Meng-Zhu Gao, Yuan Zhang, Shu-Juan Zhan, Pei-Yan Zhang, Li-Fang Deng, Lin Wei, Sheng Liu, Yan-Chao Ye, Jing-Wang Ren, Hu-Jun Li, Na Kong, Cai-Xia Wang, Xin Fang, Lin Zhou, Qiu-Zhi Jiang, Hong-Wei Li, Jing-Rong Wang, Qun Ke, Dan Liu, Gong-Ping Wang, Jian-Zhi EBioMedicine Research Paper BACKGROUND: Both type 2 diabetes mellitus (T2DM) and Alzheimer's disease (AD) are common age-associated disorders and T2DM patients show an increased risk to suffer from AD, however, there is currently no marker to identify who in T2DM populations will develop AD. Since glycogen synthase kinase-3β (GSK-3β) activity, ApoE genotypes and olfactory function are involved in both T2DM and AD pathogenesis, we investigate whether alterations of these factors can identify cognitive impairment in T2DM patients. METHODS: The cognitive ability was evaluated using Minimum Mental State Examination (MMSE) and Clinical Dementia Rating (CDR), and the mild cognitive impairment (MCI) was diagnosed by Petersen's criteria. GSK-3β activity in platelet, ApoE genotypes in leucocytes and the olfactory function were detected by Western/dot blotting, the amplification refractory mutation system (ARMS) PCR and the Connecticut Chemosensory Clinical Research Center (CCCRC) test, respectively. The odds ratio (OR) and 95% confidence intervals (95% CI) of the biomarkers for MCI diagnosis were calculated by logistic regression. The diagnostic capability of the biomarkers was evaluated by receiver operating characteristics (ROC) analyses. FINDINGS: We recruited 694 T2DM patients from Jan. 2012 to May. 2015 in 5 hospitals (Wuhan), and 646 of them met the inclusion criteria and were included in this study. 345 patients in 2 hospitals were assigned to the training set, and 301 patients in another 3 hospitals assigned to the validation set. Patients in each set were randomly divided into two groups: T2DM without MCI (termed T2DM-nMCI) or with MCI (termed T2DM-MCI). There were no significant differences for sex, T2DM years, hypertension, hyperlipidemia, coronary disease, complications, insulin treatment, HbA1c, ApoE ε2, ApoE ε3, tGSK3β and pS9GSK3β between the two groups. Compared with the T2DM-nMCI group, T2DM-MCI group showed lower MMSE score with older age, ApoE ε4 allele, higher olfactory score and higher rGSK-3β (ratio of total GSK-3β to Ser9-phosphorylated GSK-3β) in the training set and the validation set. The OR values of age, ApoE ε4 gene, olfactory score and rGSK-3β were 1.09, 2.09, 1.51, 10.08 in the training set, and 1.06, 2.67, 1.47, 7.19 in the validation set, respectively. The diagnostic accuracy of age, ApoE ε4 gene, olfactory score and rGSK-3β were 0.76, 0.72, 0.66, 0.79 in the training set, and 0.70, 0.68, 0.73, 0.79 in the validation set, respectively. These four combined biomarkers had the area under the curve (AUC) of 82% and 86%, diagnostic accuracy of 83% and 81% in the training set and the validation set, respectively. INTERPRETATION: Aging, activation of peripheral circulating GSK-3β, expression of ApoE ε4 and increase of olfactory score are diagnostic for the mild cognitive impairment in T2DM patients, and combination of these biomarkers can improve the diagnostic accuracy. Elsevier 2016-02-06 /pmc/articles/PMC4816853/ /pubmed/27077117 http://dx.doi.org/10.1016/j.ebiom.2016.02.014 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Xu, Zhi-Peng
Yang, Su-Lian
Zhao, Shi
Zheng, Cheng-Hong
Li, Hong-Hua
Zhang, Yao
Huang, Rong-Xi
Li, Meng-Zhu
Gao, Yuan
Zhang, Shu-Juan
Zhan, Pei-Yan
Zhang, Li-Fang
Deng, Lin
Wei, Sheng
Liu, Yan-Chao
Ye, Jing-Wang
Ren, Hu-Jun
Li, Na
Kong, Cai-Xia
Wang, Xin
Fang, Lin
Zhou, Qiu-Zhi
Jiang, Hong-Wei
Li, Jing-Rong
Wang, Qun
Ke, Dan
Liu, Gong-Ping
Wang, Jian-Zhi
Biomarkers for Early Diagnostic of Mild Cognitive Impairment in Type-2 Diabetes Patients: A Multicentre, Retrospective, Nested Case–Control Study
title Biomarkers for Early Diagnostic of Mild Cognitive Impairment in Type-2 Diabetes Patients: A Multicentre, Retrospective, Nested Case–Control Study
title_full Biomarkers for Early Diagnostic of Mild Cognitive Impairment in Type-2 Diabetes Patients: A Multicentre, Retrospective, Nested Case–Control Study
title_fullStr Biomarkers for Early Diagnostic of Mild Cognitive Impairment in Type-2 Diabetes Patients: A Multicentre, Retrospective, Nested Case–Control Study
title_full_unstemmed Biomarkers for Early Diagnostic of Mild Cognitive Impairment in Type-2 Diabetes Patients: A Multicentre, Retrospective, Nested Case–Control Study
title_short Biomarkers for Early Diagnostic of Mild Cognitive Impairment in Type-2 Diabetes Patients: A Multicentre, Retrospective, Nested Case–Control Study
title_sort biomarkers for early diagnostic of mild cognitive impairment in type-2 diabetes patients: a multicentre, retrospective, nested case–control study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816853/
https://www.ncbi.nlm.nih.gov/pubmed/27077117
http://dx.doi.org/10.1016/j.ebiom.2016.02.014
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