scholarly journals Novel Targets and Interventions for Cognitive Complications of Diabetes

2022 ◽  
Vol 12 ◽  
Author(s):  
Victoria Wolf ◽  
Yasir Abdul ◽  
Adviye Ergul
Keyword(s):  
Cognitive Impairment ◽  
Mixed Dementia ◽  
Complications Of Diabetes ◽  
Novel Treatments ◽  
Dementia Patients ◽  
Cerebrovascular Dysfunction ◽  
Diabetic Population ◽  
Endothelial Integrity ◽  
The Brain

Diabetes and cognitive dysfunction, ranging from mild cognitive impairment to dementia, often coexist in individuals over 65 years of age. Vascular contributions to cognitive impairment/dementia (VCID) are the second leading cause of dementias under the umbrella of Alzheimer’s disease and related dementias (ADRD). Over half of dementia patients have VCID either as a single pathology or a mixed dementia with AD. While the prevalence of type 2 diabetes in individuals with dementia can be as high as 39% and diabetes increases the risk of cerebrovascular disease and stroke, VCID remains to be one of the less understood and less studied complications of diabetes. We have identified cerebrovascular dysfunction and compromised endothelial integrity leading to decreased cerebral blood flow and iron deposition into the brain, respectively, as targets for intervention for the prevention of VCID in diabetes. This review will focus on targeted therapies that improve endothelial function or remove iron without systemic effects, such as agents delivered intranasally, that may result in actionable and disease-modifying novel treatments in the high-risk diabetic population.

scholarly journals Brain Vasculature and Cognition

2019 ◽  
Vol 39 (4) ◽  
pp. 593-602 ◽  
Author(s):  
Abdelrahman Y. Fouda ◽  
Susan C. Fagan ◽  
Adviye Ergul
Keyword(s):  
Cognitive Impairment ◽  
Intervention Strategies ◽  
Proper Function ◽  
Cerebral Vasculature ◽  
Brain Vasculature ◽  
Cerebrovascular Function ◽  
Cerebrovascular Dysfunction ◽  
Function Preservation ◽  
Almost All ◽  
The Brain

There is a complex interaction between the brain and the cerebral vasculature to meet the metabolic demands of the brain for proper function. Preservation of cerebrovascular function and integrity has a central role in this sophisticated communication within the brain, and any derangements can have deleterious acute and chronic consequences. In almost all forms of cognitive impairment, from mild to Alzheimer disease, there are changes in cerebrovascular function and structure leading to decreased cerebral blood flow, which may initiate or worsen cognitive impairment. In this focused review, we discuss the contribution of 2 major vasoactive pathways to cerebrovascular dysfunction and cognitive impairment in an effort to identify early intervention strategies.

scholarly journals Altered Structural and Functional MRI Connectivity in Type 2 Diabetes Mellitus Related Cognitive Impairment: A Review

2022 ◽  
Vol 15 ◽  
Author(s):  
Hao Lei ◽  
Rong Hu ◽  
Guanghua Luo ◽  
Tingqian Yang ◽  
Hui Shen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cognitive Impairment ◽  
Energy Metabolism ◽  
Functional Mri ◽  
Structural Connectivity ◽  
Brain Circuits ◽  
The Brain

Type 2 diabetes mellitus (T2DM) is associated with cognitive impairment in many domains. There are several pieces of evidence that changes in neuronal neuropathies and metabolism have been observed in T2DM. Structural and functional MRI shows that abnormal connections and synchronization occur in T2DM brain circuits and related networks. Neuroplasticity and energy metabolism appear to be principal effector systems, which may be related to amyloid beta (Aβ) deposition, although there is no unified explanation that includes the complex etiology of T2DM with cognitive impairment. Herein, we assume that cognitive impairment in diabetes may lead to abnormalities in neuroplasticity and energy metabolism in the brain, and those reflected to MRI structural connectivity and functional connectivity, respectively.

scholarly journals Prediction of Alzheimer Disease Using Pearson Recursive Graph Convolutional Neural Network

2021 ◽  
Author(s):  
M.S Roobini ◽  
M. Lakshmi
Keyword(s):  
Neural Network ◽  
Cognitive Impairment ◽  
Alzheimer Disease ◽  
Convolutional Neural Network ◽  
Pearson Correlation ◽  
Machine Learning Algorithms ◽  
Worst Case ◽  
Prediction Of Diabetes ◽  
The Brain

Abstract Alzheimer diseases are very hard to identify at beginning stage and also medication is available. So, the only way to protect those people is to predict the Alzheimer disease before it reaches the peak. More studies in diabetes show that there is a link between Diabetes and Alzheimer. Initially the prediction of diabetes is done using most relevant parameters, which detects the Diabetes. Then the severity level of diabetes is identified using some scoring levels. Based on scoring levels of diabetes, it is classified in to Type1 and Type2 using Machine Learning algorithms. When Diabetes reaches a worst case, it may affect any organs in the human body, whereas Type 2 Diabetes has associated with rare diseases which literally affects the brain and leads to cognitive impairment. After predicting the patients having cognitive impairment by applying classification algorithms are further examined to check whether it leads to Alzheimer disease. For this prediction the most relevant parameters which are common to Diabetes and Alzheimer is identified. Further identified parameters are used for prediction of Alzheimer disease with high accuracy which is helpful for taking precaution measures. In this proposed work, the most relevant features are selected using Pearson correlation-based feature elimination method and the diagnosis of the diabetes are carried using the Graph convolutional neural network (GCN). The measures of performance of the proposed work are calculated with various factors like Sensitivity measure, Recall, Precision, F-Measure. Proposed has achieved highest of 98.91%, 97.01%, 98.62%, 98.91% in above metrics.

Starving the brain: Structural abnormalities and cognitive impairment in adolescents with anorexia nervosa

2001 ◽  
Vol 6 (2) ◽  
pp. 146-152 ◽  
Author(s):  
Debra K. Katzman ◽  
Bruce Christensen ◽  
Arlene R. Young ◽  
Robert B. Zipursky
Keyword(s):  
Anorexia Nervosa ◽  
Cognitive Impairment ◽  
Structural Abnormalities ◽  
The Brain

Brain FDG PET for the Etiological Diagnosis of Clinically Uncertain Cognitive Impairment During Delirium in Remission

2020 ◽  
Vol 77 (4) ◽  
pp. 1609-1622
Author(s):  
Franziska Mathies ◽  
Catharina Lange ◽  
Anja Mäurer ◽  
Ivayla Apostolova ◽  
Susanne Klutmann ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Fdg Pet ◽  
False Negative ◽  
Ground Truth ◽  
Etiological Diagnosis ◽  
Geriatric Unit ◽  
Positron Emission ◽  
The Brain ◽  
Hospitalized Geriatric Patients

Background: Positron emission tomography (PET) of the brain with 2-[F-18]-fluoro-2-deoxy-D-glucose (FDG) is widely used for the etiological diagnosis of clinically uncertain cognitive impairment (CUCI). Acute full-blown delirium can cause reversible alterations of FDG uptake that mimic neurodegenerative disease. Objective: This study tested whether delirium in remission affects the performance of FDG PET for differentiation between neurodegenerative and non-neurodegenerative etiology of CUCI. Methods: The study included 88 patients (82.0±5.7 y) with newly detected CUCI during hospitalization in a geriatric unit. Twenty-seven (31%) of the patients were diagnosed with delirium during their current hospital stay, which, however, at time of enrollment was in remission so that delirium was not considered the primary cause of the CUCI. Cases were categorized as neurodegenerative or non-neurodegenerative etiology based on visual inspection of FDG PET. The diagnosis at clinical follow-up after ≥12 months served as ground truth to evaluate the diagnostic performance of FDG PET. Results: FDG PET was categorized as neurodegenerative in 51 (58%) of the patients. Follow-up after 16±3 months was obtained in 68 (77%) of the patients. The clinical follow-up diagnosis confirmed the FDG PET-based categorization in 60 patients (88%, 4 false negative and 4 false positive cases with respect to detection of neurodegeneration). The fraction of correct PET-based categorization did not differ between patients with delirium in remission and patients without delirium (86% versus 89%, p = 0.666). Conclusion: Brain FDG PET is useful for the etiological diagnosis of CUCI in hospitalized geriatric patients, as well as in patients with delirium in remission.

Neuropsychiatric Symptoms and Antipsychotic Therapy in the Elderly Patients with Dementia

Psychiatry ◽  
2020 ◽  
Vol 18 (4) ◽  
pp. 6-15
Author(s):  
I. V. Kolykhalov
Keyword(s):  
Neuropsychiatric Symptoms ◽  
The Elderly ◽  
Psychotic Symptoms ◽  
Mixed Dementia ◽  
Short Term ◽  
Antipsychotic Therapy ◽  
Dementia Patients ◽  
Frequency Of Use ◽  
Number Of Patients ◽  
High Incidence

The objective of the study was to investigate syndromal-nosological specificities of neuropsychiatric symptoms (NPS) and the frequency of use of antipsychotics in patients with various types of dementias, institutionalized to geriatric units of mental hospitals.Patients and methods: a total of 106 in-patients of three psychogeriatric units were examined. The median age of patients is 75 years [69; 80].The diagnostic distribution of patients at the time of the examination was as follows: in 33 subjects (31.1%) Alzheimer’s disease (AD) was diagnosed, in 25 (23.6%) - mixed dementia (MD), in 32 (30.2%) - vascular dementia (VD) and in 16 (15.1%) patients had dementia of complex origin (DCO).Results: a high incidence (54.7%) of NPS was found in patients with dementia of various origins. The greatest number of patients with behavioral and psychotic symptoms was found in AD and MD. The proportion of dementia patients with such disorders in each of these types of dementia is about 70%, while in CGD and VD, the proportion of patients with NPS is noticeably smaller (30% and 40%, respectively). For the treatment of NPS, antipsychotics were most often prescribed, but their use caused adverse events (AEs) in 1/3 of cases. Patients with VD are most susceptible to the development of AE, and AD patients are the least susceptible.Conclusion: the study showed that NPS are one of the important components of dementia, regardless of the nosology and stage of the disease. The treatment of NPS in dementia is particularly challenging because, although the symptoms cause significant distress, there are currently no effective alternative therapies. The risk of AE can be minimized by carefully considering the indications for prescribing antipsychotics and their short-term use, regular monitoring of the patient’s condition, and educating caregivers.

Exploring the Role of Remote Ischemic Preconditioning In Long Term Cognitive Impairment after Global Ischemia-Reperfusion-Induced Vascular Dementia in Mice

2020 ◽  
Author(s):  
Amteshwar Singh Jaggi
Keyword(s):  
Cognitive Impairment ◽  
Cerebral Ischemia ◽  
Vascular Dementia ◽  
Ischemic Preconditioning ◽  
Ischemia Reperfusion ◽  
Remote Ischemic Preconditioning ◽  
Global Cerebral Ischemia ◽  
Cerebral Ischemic ◽  
The Brain

Aim: The aim of the present study is to explore the neuroprotective effects of remote ischemic preconditioning in long term cognitive impairment after global cerebral ischemia induced-vascular dementia in mice. Material and methods: The mice were subjected to global cerebral ischemia by occluding the bilateral common carotid arteries for 12 minutes followed by the 24 hours of the reperfusion. The remote ischemic preconditioning stimulus was delivered in the form of 4 cycles of ischemia/reperfusion for 5 minutes each. The cerebral ischemic injury induced-long term cognitive impairment-related learning and memory alterations was assessed using morris water maze, the motor performances of the animals were evaluated using rota-rod test and neurological severity score. The cerebral infract size of the brain were quantified using triphenyltetrazolium chloride staining. Results: Global cerebral ischemia causes long term memory impairment, decreases motor performances and increases the brain infract size in animals. The delivery of remote ischemic preconditioning stimulus significantly abolished the long-term cognitive impairment and ameliorates the motor performances as well as cerebral infract size in brain. Conclusion: The remote ischemic preconditioning mediates neuro protection against global cerebral ischemic injury induced long-term cognitive impairment.

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