scholarly journals Mild Cognitive Impairment Subtypes and Type 2 Diabetes in Elderly Subjects

2020 ◽  
Vol 9 (7) ◽  
pp. 2055
Author(s):  
Silvia Valenza ◽  
Lucia Paciaroni ◽  
Susy Paolini ◽  
Anna Rita Bonfigli ◽  
Mirko Di Rosa ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Episodic Memory ◽  
Insulin Treatment ◽  
Amnestic Mild Cognitive Impairment ◽  
Elderly Subjects ◽  
Diabetic Patients ◽  
Immediate Recall

Background: Type 2 diabetes (T2D) is correlated to amnestic mild cognitive impairment (aMCI) and to non-amnestic mild cognitive impairment (naMCI). This study evaluated whether the T2D variable characterizes a peculiar cognitive profile in elderly patients. Moreover, it explores the association between glycated hemoglobin levels (HbA1c), T2D duration, insulin and oral hypoglycemic agent treatment, and cognition in elderly diabetic patients. Methods: Detailed neuropsychological battery was used to diagnose MCI subtypes. A total of 39 MCI subjects with T2D (T2D-MCI) and 37 MCI subjects without T2D (ND-MCI), matched for age, educational level, and Mini-Mental State Examination score, were included. Results: ND-MCI performed worse in memory and language domains than T2D-MCI. The amnestic subtype is more frequent among ND-MCI and non-amnestic subtype in T2D-MCI. In T2D-MCI, high HbA1c levels correlate with episodic memory (immediate recall) and T2D duration. Some indexes of episodic memory (immediate recall), attention, and visual-spatial ability correlate with insulin treatment. Conclusions: An association between T2D and non-amnestic MCI is suggested. In the T2D-MCI group, significant associations between insulin treatment and memory (immediate recall), complex figure copy, and attention were found.

scholarly journals Cognitive impairments in type 2 diabetes, risk factors and preventive strategies

2020 ◽  
Vol 31 (2) ◽  
Author(s):  
Garima Sharma ◽  
Arti Parihar ◽  
Tanay Talaiya ◽  
Kirti Dubey ◽  
Bhagyesh Porwal ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Fruits And Vegetables ◽  
Early Stage ◽  
Cognitive Impairments ◽  
Diabetic Patients ◽  
Unhealthy Lifestyle

AbstractMild cognitive impairment (MCI) is a modifiable risk factor in progression of several diseases including dementia and type 2 diabetes. If cognitive impairments are not reversed at an early stage of appearance of symptoms, then the prolonged pathogenesis can lead to dementia and Alzheimer’s disease (AD). Therefore, it is necessary to detect the risk factors and mechanism of prevention of cognitive dysfunction at an early stage of disease. Poor lifestyle, age, hyperglycemia, hypercholesterolemia, and inflammation are some of the major risk factors that contribute to cognitive and memory impairments in diabetic patients. Mild cognitive impairment was seen in those individuals of type 2 diabetes, who are on an unhealthy diet. Physical inactivity, frequent alcohol consumptions, and use of packed food products that provides an excess of cheap calories are found associated with cognitive impairment and depression in diabetic patients. Omega fatty acids (FAs) and polyphenol-rich foods, especially flavonoids, can reduce the bad effects of an unhealthy lifestyle; therefore, the consumption of omega FAs and flavonoids may be beneficial in maintaining normal cognitive function. These functional foods may improve cognitive functions by targeting many enzymes and molecules in cells chiefly through their anti-inflammatory, antioxidant, or signaling actions. Here, we provide the current concepts on the risk factors of cognitive impairments in type 2 diabetes and the mechanism of prevention, using omega FAs and bioactive compounds obtained from fruits and vegetables. The knowledge derived from such studies may assist physicians in managing the health care of patients with cognitive difficulties.

scholarly journals Mild cognitive impairment among type 2 diabetic patients attending Zagazig University outpatient clinics

QJM ◽  
2020 ◽  
Vol 113 (Supplement_1) ◽  
Author(s):  
N H Elshamy ◽  
I I Salama ◽  
M S Gabal ◽  
A M Hassan ◽  
G A Abdellatif
Keyword(s):  
Type 2 Diabetes ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Disorders ◽  
Outpatient Clinics ◽  
Control Group ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Type 2 Diabetic

Abstract Objective The incidence of mild cognitive impairment increases with age, so this study is conducted to assess the relation between mild cognitive impairment and type 2 diabetes. Methods 100 type 2 diabetic patients attending Zagazig University outpatient clinics with age range from 40-60 years old was included in the study. These patients were matched with 100 non-diabetic controls regarding age, sex and educational class. Patients with important risk factors for cognitive disorders (cerebro-vascular stroke, organ failure, mental disorders, etc.) were not included in the study. Montreal cognitive assessment (MoCA) was done for all participants by an expert examiner using MoCA tool. Results Mild cognitive impairment was confirmed in 22% of diabetic patients and in 9% of control group (p < 0.05) with total MoCA score lower in diabetic group than control one (p < 0.01). Conclusion Type 2 diabetes may be associated with lower levels of cognitive function.

scholarly journals Peripheral Blood Biomarkers Coupled with the Apolipoprotein E4 Genotype are Strongly Associated with Semantic and Episodic Memory Impairments in Elderly Subjects with Amnestic Mild Cognitive Impairment and Alzheimer’s Dementia

2019 ◽  
Author(s):  
Thitiporn Supasitthumrong ◽  
Chavit Tunvirachaisakul ◽  
Daruj Aniwattanapong ◽  
Sookjaroen Tangwongchai ◽  
Phenphichcha Chuchuen ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Episodic Memory ◽  
Peripheral Blood ◽  
Amnestic Mild Cognitive Impairment ◽  
Elderly Subjects ◽  
Blood Biomarkers ◽  
Memory Impairments ◽  
Apolipoprotein E4 ◽  
Apoe4 Allele

Background: The Apolipoprotein E4 (ApoE4) genotype is strongly associated with Alzheimer’s disease (AD), although the presence of the ApoE4 allele alone is not sufficient to explain AD. The pathophysiology of amnestic mild cognitive impairment (aMCI) remains unclear. This study aims to examine associations between peripheral blood biomarkers coupled with ApoE4 and episodic and semantic memory. Methods: The CERAD battery was completed and various biomarkers were assayed in 60 subjects with aMCI, 60 with AD and 62 healthy controls. Results: Deficits in semantic and episodic memory were significantly predicted by anion gap and bicarbonate, albumin and glucose coupled with Apo E4. Furthermore, these peripheral biomarkers interacted with ApoE to predict greater memory impairments. Conclusions: Peripheral blood biomarkers may interact with pathways related to ApoE4 to predict greater semantic and episodic memory impairments, thus contributing to the pathophysiology of aMCI and AD. Our data suggest that the transition from aMCI to AD could at least in some cases be associated with significant interactions between ApoE4 and those peripheral blood biomarkers.

scholarly journals Cortical Source Multivariate EEG Synchronization Analysis on Amnestic Mild Cognitive Impairment in Type 2 Diabetes

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Dong Cui ◽  
Jing Liu ◽  
Zhijie Bian ◽  
Qiuli Li ◽  
Lei Wang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Functions ◽  
Amnestic Mild Cognitive Impairment ◽  
Control Group ◽  
Synchronization Index ◽  
Amci Group ◽  
And Control

Is synchronization altered in amnestic mild cognitive impairment (aMCI) and normal cognitive functions subjects in type 2 diabetes mellitus (T2DM)? Resting eye-closed EEG data were recorded in 8 aMCI subjects and 11 age-matched controls in T2DM. Three multivariate synchronization algorithms (S-estimator (S), synchronization index (SI), and global synchronization index (GSI)) were used to measure the synchronization in five ROIs of sLORETA sources for seven bands. Results showed that aMCI group had lower synchronization values than control groups in parietal delta and beta2 bands, temporal delta and beta2 bands, and occipital theta and beta2 bands significantly. Temporal (r=0.629;P=0.004) and occipital (r=0.648;P=0.003) thetaSvalues were significantly positive correlated with Boston Name Testing. In sum, each of methods reflected that the cortical source synchronization was significantly different between aMCI and control group, and these difference correlated with cognitive functions.

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