scholarly journals Shared Blood Transcriptomic Signatures between Alzheimer’s Disease and Diabetes Mellitus

Biomedicines ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 34
Author(s):  
Taesic Lee ◽  
Hyunju Lee
Keyword(s):  
Diabetes Mellitus ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Protein Interactions ◽  
Expression Patterns ◽  
Protein Protein Interactions ◽  
Hub Genes ◽  
Gene Modules ◽  
Gene Regulatory ◽  
The Brain

Alzheimer’s disease (AD) and diabetes mellitus (DM) are known to have a shared molecular mechanism. We aimed to identify shared blood transcriptomic signatures between AD and DM. Blood expression datasets for each disease were combined and a co-expression network was used to construct modules consisting of genes with similar expression patterns. For each module, a gene regulatory network based on gene expression and protein-protein interactions was established to identify hub genes. We selected one module, where COPS4, PSMA6, GTF2B, GTF2F2, and SSB were identified as dysregulated transcription factors that were common between AD and DM. These five genes were also differentially co-expressed in disease-related tissues, such as the brain in AD and the pancreas in DM. Our study identified gene modules that were dysregulated in both AD and DM blood samples, which may contribute to reveal common pathophysiology between two diseases.

scholarly journals Microglial Function and Regulation during Development, Homeostasis and Alzheimer’s Disease

Cells ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 957
Author(s):  
Brad T. Casali ◽  
Erin G. Reed-Geaghan
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Immune Cells ◽  
Expression Patterns ◽  
Brain Parenchyma ◽  
Primary Role ◽  
And Function ◽  
Inflammatory Milieu ◽  
The Brain ◽  
Homeostatic State

Microglia are the resident immune cells of the brain, deriving from yolk sac progenitors that populate the brain parenchyma during development. During development and homeostasis, microglia play critical roles in synaptogenesis and synaptic plasticity, in addition to their primary role as immune sentinels. In aging and neurodegenerative diseases generally, and Alzheimer’s disease (AD) specifically, microglial function is altered in ways that significantly diverge from their homeostatic state, inducing a more detrimental inflammatory environment. In this review, we discuss the receptors, signaling, regulation and gene expression patterns of microglia that mediate their phenotype and function contributing to the inflammatory milieu of the AD brain, as well as strategies that target microglia to ameliorate the onset, progression and symptoms of AD.

The role of neuroglial metabotropic glutamate receptors in Alzheimer's disease

2021 ◽  
Vol 19 ◽  
Author(s):  
Khaled S. Abd-Elrahman ◽  
Shaarika Sarasija ◽  
Stephen S. G. Ferguson
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Glutamate Receptors ◽  
Metabotropic Glutamate Receptors ◽  
Expression Patterns ◽  
Neuronal Cell ◽  
Hyperphosphorylated Tau ◽  
Metabotropic Glutamate ◽  
Group I ◽  
The Brain

: Glutamate, the major excitatory neurotramitter in the brain exerts its effects via both ionotropic glutamate receptors and metabotropic glutamate receptors (mGluRs). There are three subgroups of mGluRs, pre-synaptic Group II and Group III mGluRs and post-synaptic Group I mGluRs. mGluRs are ubiquitously expressed in the brain and their activation is poised upstream of a myriad of signaling pathways, resulting in their implication in the pathogenesis of various neurodegenerative diseases including, Alzheimer’s disease (AD). While the exact mechanism of AD etiology remains elusive, β-amyloid (Aβ) plaques and hyperphosphorylated tau tangles remain the histopathological hallmarks of AD. Though less electrically excitable, neuroglia are a major non-neuronal cell type in the brain and are composed of astrocytes, microglia, and oligodendrocytes. Astrocytes, microglia, and oligodendrocytes provide structural and metabolic support, active immune defence, and axonal support and sheathing, respectively. Interestingly, Aβ and hyperphosphorylated tau are known to disrupt the neuroglial homeostasis in the brain, pushing them towards a more neurotoxic state. In this review, we discuss what is currently known regarding the expression patterns of various mGluRs in neuroglia and how Aβ and tau alter the normal mGluR function in the neuroglia and contribute to the pathophysiology of AD.

scholarly journals Metabolism: A Novel Shared Link between Diabetes Mellitus and Alzheimer’s Disease

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Yanan Sun ◽  
Cao Ma ◽  
Hui Sun ◽  
Huan Wang ◽  
Wei Peng ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Diabetes Mellitus ◽  
Metabolic Disease ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Mitochondrial Dysfunction ◽  
Diabetic Patients ◽  
Increased Risk ◽  
Impaired Insulin ◽  
The Brain

As a chronic metabolic disease, diabetes mellitus (DM) is broadly characterized by elevated levels of blood glucose. Novel epidemiological studies demonstrate that some diabetic patients have an increased risk of developing dementia compared with healthy individuals. Alzheimer’s disease (AD) is the most frequent cause of dementia and leads to major progressive deficits in memory and cognitive function. Multiple studies have identified an increased risk for AD in some diabetic populations, but it is still unclear which diabetic patients will develop dementia and which biological characteristics can predict cognitive decline. Although few mechanistic metabolic studies have shown clear pathophysiological links between DM and AD, there are several plausible ways this may occur. Since AD has many characteristics in common with impaired insulin signaling pathways, AD can be regarded as a metabolic disease. We conclude from the published literature that the body’s diabetic status under certain circumstances such as metabolic abnormalities can increase the incidence of AD by affecting glucose transport to the brain and reducing glucose metabolism. Furthermore, due to its plentiful lipid content and high energy requirement, the brain’s metabolism places great demands on mitochondria. Thus, the brain may be more susceptible to oxidative damage than the rest of the body. Emerging evidence suggests that both oxidative stress and mitochondrial dysfunction are related to amyloid-β (Aβ) pathology. Protein changes in the unfolded protein response or endoplasmic reticulum stress can regulate Aβ production and are closely associated with tau protein pathology. Altogether, metabolic disorders including glucose/lipid metabolism, oxidative stress, mitochondrial dysfunction, and protein changes caused by DM are associated with an impaired insulin signal pathway. These metabolic factors could increase the prevalence of AD in diabetic patients via the promotion of Aβ pathology.

scholarly journals The relationship of diabetes mellitus with Alzheimer’s disease: a literature review

2021 ◽  
Author(s):  
Fábio Dias Nogueira ◽  
Ana Klara Rodrigues Alves ◽  
Barbara Beatriz Lira da Silva ◽  
Ana Kamila Rodrigues Alves ◽  
Marlilia Moura Coelho Sousa ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Alzheimer’S Disease ◽  
Insulin Resistance ◽  
Alzheimer's Disease ◽  
Glycogen Synthase ◽  
Potential Link ◽  
The Central Nervous System ◽  
Gsk 3Β ◽  
Type 3 ◽  
The Brain

Introduction: Alzheimer’s disease (AD) is closely related to diabetes mellitus (DM), and AD is also considered to be type 3 diabetes (T3D). Glycogen synthase kinase-3β (GSK-3β) may be the potential link between DM and AD. GSK-3β is one of the main factors that lead to insulin deficiency and insulin resistance, and insulin resistance is a characteristic of the development of DM. In AD, GSK-3β plays an important role in hyperphosphorylation of the tau protein (tau) associated with microtubules, which is one of the pathological features in AD. Objective: To analyze DM as a factor for the development of AD. METHODOLOGY: This is an integrative review of the literature, which is a construction of a comprehensive analysis of the literature with pre-defined steps, carried out through PubMed, 1.501 articles were found, of which 10 were selected, through the simultaneous crossing between the descriptors “Diabetes mellitus”, “Alzheimer “. Articles written in Portuguese and English published between 2016 and 2021 were inserted. Results: DM associated with insulin resistance affects psychomotor efficiency, attention, learning memory, mental flexibility, speed and executive function of the brain, thus being an independent risk factor for cognitive impairment and damage to the central nervous system, hyperglycemia, which can cause increased oxidative stress leading to progressive functional and structural abnormalities in the brain. Conclusion:The risk of dementia in patients with DM is higher than in nondiabetic patients and it is also well known that DM2 / insulin resistance is involved in AD.

scholarly journals Integrative analysis identified common and unique molecular signatures in hepatobiliary cancers

2021 ◽  
Author(s):  
Nabanita Roy ◽  
Ria Lodh ◽  
Anupam Sarma ◽  
Dhruba Kumar Bhattacharyya ◽  
Pankaj Barah
Keyword(s):  
Protein Interactions ◽  
Metabolic Pathways ◽  
Expression Patterns ◽  
Molecular Signature ◽  
Cancer Type ◽  
Molecular Signatures ◽  
Protein Protein Interactions ◽  
Hub Genes ◽  
Cellular Processes ◽  
Differential Gene

Hepatobiliary cancers (HBCs) are the most aggressive and sixth most diagnosed cancers globally. Biomarkers for timely diagnosis and targeted therapy in HBCs are still limited. Considering the gap, our objective is to identify unique and overlapping molecular signatures associated with HBCs. We analyzed publicly available transcriptomic datasets on Gallbladder cancer (GBC), Hepatocellular carcinoma (HCC), and Intrahepatic cholangiocarcinoma (ICC) to identify potential biomarkers using integrative systems approaches. An effective Common and Unique Molecular Signature Identification (CUMSI) approach has been employed, which contains analysis of differential gene expression (DEG), gene co-expression networks (GCN), and protein-protein interactions (PPIs) networks. Functional analysis of the DEGs unique for GBC, HCC, and ICC indicated that GBC is associated with cellular processes, HCC is associated with immune signaling pathways, and ICC is associated with lipid metabolic pathways. Our findings shows that the hub genes and pathways identified for each individual cancer type of the HBS are related with the primary function of each organ and each cancer exhibit unique expression patterns despite being part of the same organ system.

Does Diabetes Protect or Provoke Alzheimer's Disease? Insights Into the Pathobiology and Future Treatment of Alzheimer's Disease

CNS Spectrums ◽  
2003 ◽  
Vol 8 (11) ◽  
pp. 815-822 ◽  
Author(s):  
Hillel Grossman
Keyword(s):  
Diabetes Mellitus ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Neurofibrillary Tangle ◽  
Insulin Degrading Enzyme ◽  
Future Treatment ◽  
Epidemiologic Evidence ◽  
Insulin Dysregulation ◽  
Glycation End Products ◽  
The Brain

ABSTRACTDiabetes mellitus has long been considered a risk factor for the development of vascular dementia. Epidemiologic evidence has suggested that diabetes mellitus significantly increases risk for the development of Alzheimer's disease, independent of vascular risk factors. As insulin's role as a neuromodulator in the brain has been described, its significance for AD has also emerged. Insulin dysregulation may contribute to AD pathology through several mechanisms including decreased cortical glucose utilization particularly in the hippocampus and entorhinal cortex; increased oxidative stress through the formation of advanced glycation end-products; increased Tau phosphorylation and neurofibrillary tangle formation; increased β-amyloid aggregation through inhibition of insulin-degrading enzyme. Future treatment of AD might involve pharmacologic and dietary manipulations of insulin and glucose regulation.

scholarly journals Gibbs Free Energy, a Thermodynamic Measure of Protein–Protein Interactions, Correlates with Neurologic Disability

2021 ◽  
Vol 1 (3) ◽  
pp. 201-210
Author(s):  
Michael Keegan ◽  
Hava T. Siegelmann ◽  
Edward A. Rietman ◽  
Giannoula Lakka Klement ◽  
Jack A. Tuszynski
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Free Energy ◽  
Gibbs Free Energy ◽  
Protein Interactions ◽  
Neurological Diseases ◽  
Pearson Correlation ◽  
Brain Network ◽  
Network Organization ◽  
Protein Protein Interactions

Modern network science has been used to reveal new and often fundamental aspects of brain network organization in physiological as well as pathological conditions. As a consequence, these discoveries, which relate to network hierarchy, hubs and network interactions, have begun to change the paradigms of neurodegenerative disorders. In this paper, we explore the use of thermodynamics for protein–protein network interactions in Alzheimer’s disease (AD), Parkinson’s disease (PD), multiple sclerosis (MS), traumatic brain injury and epilepsy. To assess the validity of using network interactions in neurological diseases, we investigated the relationship between network thermodynamics and molecular systems biology for these neurological disorders. In order to uncover whether there was a correlation between network organization and biological outcomes, we used publicly available RNA transcription data from individual patients with these neurological conditions, and correlated these molecular profiles with their respective individual disability scores. We found a linear correlation (Pearson correlation of −0.828) between disease disability (a clinically validated measurement of a person’s functional status) and Gibbs free energy (a thermodynamic measure of protein–protein interactions). In other words, we found an inverse relationship between disease disability and thermodynamic energy. Because a larger degree of disability correlated with a larger negative drop in Gibbs free energy in a linear disability-dependent fashion, it could be presumed that the progression of neuropathology such as is seen in Alzheimer’s disease could potentially be prevented by therapeutically correcting the changes in Gibbs free energy.

Integrated Bioinformatics Analysis Identifies Hub Genes Associated with Viral Infection and Alzheimer’s Disease

2021 ◽  
pp. 1-9
Author(s):  
Xiaoru Sun ◽  
Hui Zhang ◽  
Dongdong Yao ◽  
Yaru Xu ◽  
Qi Jing ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Viral Infection ◽  
Bioinformatics Analysis ◽  
Expression Patterns ◽  
Temporal Cortex ◽  
Enrichment Analysis ◽  
Hub Genes ◽  
Kegg Pathways ◽  
Barr Virus

Background: Alzheimer’s disease (AD) is a fatal neurodegenerative disease, the etiology of which is unclear. Previous studies have suggested that some viruses are neurotropic and associated with AD. Objective: By using bioinformatics analysis, we investigated the potential association between viral infection and AD. Methods: A total of 5,066 differentially expressed genes (DEGs) in the temporal cortex between AD and control samples were identified. These DEGs were then examined via weighted gene co-expression network analysis (WGCNA) and clustered into modules of genes with similar expression patterns. Of identified modules, module turquoise had the highest correlation with AD. The module turquoise was further characterized using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analysis. Results: Our results showed that the KEGG pathways of the module turquoise were mainly associated with viral infection signaling, specifically Herpes simplex virus, Human papillomavirus, and Epstein-Barr virus infections. A total of 126 genes were enriched in viral infection signaling pathways. In addition, based on values of module membership and gene significance, a total of 508 genes within the module were selected for further analysis. By intersecting these 508 genes with those 126 genes enriched in viral infection pathways, we identified 4 hub genes that were associated with both viral infection and AD: TLR2, COL1A2, NOTCH3, and ZNF132. Conclusion: Through bioinformatics analysis, we demonstrated a potential link between viral infection and AD. These findings may provide a platform to further our understanding of AD pathogenesis.

scholarly journals Alzheimer’s Disease and HLA-A2: Linking Neurodegenerative to Immune Processes through an In Silico Approach

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Ricardo A. Cifuentes ◽  
Juan Murillo-Rojas
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Protein Interactions ◽  
In Silico ◽  
Meta Analysis ◽  
Specific Antigen ◽  
Case Control ◽  
Interacting Proteins ◽  
Protein Protein Interactions ◽  
Case Control Studies

There is a controversial relationship between HLA-A2 and Alzheimer’s disease (AD). It has been suggested a modifier effect on the risk that depends on genetic loadings. Thus, the aims of this study were to evaluate this relationship and to reveal genes associated with both concepts the HLA-A gene and AD. Consequently, we did first a classical systematic review and a meta-analysis of case-control studies. Next, by means of an in silico approach, we used experimental knowledge of protein-protein interactions to evaluate the top ranked genes shared by both concepts, previously found through text mining. The meta-analysis did not show a significant pooled OR (1.11, 95% CI: 0.98 to 1.24 in Caucasians), in spite of the fact that four of the included studies had a significant OR > 1 and none of them a significant OR < 1. In contrast, the in silico approach retrieved nonrandomly shared genes by both concepts (P= 0.02), which additionally encode truly interacting proteins. The network of proteins encoded byAPP, ICAM-1, ITGB2, ITGAL, SELP, SELL, IL2, IL1B, CD4, andCD8Alinked immune to neurodegenerative processes and highlighted the potential roles in AD pathogenesis of endothelial regulation, infectious diseases, specific antigen presentation, and HLA-A2 in maintaining synapses.

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