Association between chronic kidney disease and Alzheimer’s disease: an update

Zhang, Chunyun; He, Fang-Fang; Su, Hua; Zhang, Chun; Meng, Xianhong

doi:10.1007/s11011-020-00561-y

Cited by 54 publications

(51 citation statements)

References 88 publications

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“…The vulnerability of brain tissue to vascular dysfunction, inflammation, oxidative stress, and the renin-angiotensin system may explain the cognitive loss and AD seen in CKD patients. Additionally, small vessel injury may play a non-negligible role in contributing to cognition impairment in both CKD and AD [17,18].…”

Section: Introductionmentioning

confidence: 99%

Attenuative Effects of Fluoxetine and Triticum aestivum against Aluminum-Induced Alzheimer’s Disease in Rats: The Possible Consequences on Hepatotoxicity and Nephrotoxicity

et al. 2021

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Background: Alzheimer’s disease (AD) is a chronic neurological illness that causes considerable cognitive impairment. Hepatic and renal dysfunction may worsen AD by disrupting β-amyloid homeostasis at the periphery and by causing metabolic dysfunction. Wheatgrass (Triticum aestivum) has been shown to have antioxidant and anti-inflammatory properties. This work aims to study the effect of aluminum on neuronal cells, its consequences on the liver and kidneys, and the possible role of fluoxetine and wheatgrass juice in attenuating these pathological conditions. Method: Rats were divided into five groups. Control, AD (AlCl3), Fluoxetine (Fluoxetine and AlCl3), Wheatgrass (Wheatgrass and AlCl3), and combination group (fluoxetine, wheatgrass, and AlCl3). All groups were assigned daily to different treatments for five weeks. Conclusions: AlCl3 elevated liver and kidney enzymes, over-production of oxidative stress, and inflammatory markers. Besides, accumulation of tau protein and Aβ, the elevation of ACHE and GSK-3β, down-regulation of BDNF, and β–catenin expression in the brain. Histopathological examinations of the liver, kidney, and brain confirmed this toxicity, while treating AD groups with fluoxetine, wheatgrass, or a combination alleviates toxic insults. Conclusion: Fluoxetine and wheatgrass combination demonstrated a more significant neuroprotective impact in treating AD than fluoxetine alone and has protective effects on liver and kidney tissues.

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Section: Introductionmentioning

confidence: 99%

Attenuative Effects of Fluoxetine and Triticum aestivum against Aluminum-Induced Alzheimer’s Disease in Rats: The Possible Consequences on Hepatotoxicity and Nephrotoxicity

et al. 2021

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“…It is important to note that certain risk factors for Alzheimer's disease are prominent in CKD, including vascular dysfunction ( 27 ) and elevated serum homocysteine ( 32 – 34 ). Given these shared risk factors, studies that correlate CKD with risk of Alzheimer's disease require careful interpretation ( 27 , 35 ). In the current study, evaluation of amyloid-β which is a pathological substrate for Alzheimer's was not correlated with kidney function.…”

Section: Discussion/conclusionmentioning

confidence: 99%

Kidney Function Is Not Related to Brain Amyloid Burden on PET Imaging in The 90+ Study Cohort

et al. 2021

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Cognitive decline is common in chronic kidney disease (CKD). While the evidence of vascular cognitive impairment in this population is robust, the role of Alzheimer's pathology is unknown. We evaluated serum cystatin C-estimated glomerular filtration rate (eGFR), brain amyloid-β positron emission tomography (PET) imaging, and cognitive function in 166 participants from The 90+ Study. Mean age was 93 years (range 90-107) and 101 (61%) were women; 107 participants had normal cognitive status while 59 participants had cognitive impairment no dementia (CIND) or dementia. Mean ± standard deviation cystatin C was 1.59 ± 0.54 mg/L with eGFR 40.7 ± 18.7 ml/min/1.73m2. Higher amyloid-β burden was associated with dementia, but not with age, diabetes, hypertension, or cardiovascular disease. We found no association between brain amyloid-β burden and cystatin C eGFR. We previously reported that kidney function was associated with cognition and cerebral microbleeds in the same cohort of oldest-old adults (90+ years old). Collectively, these findings suggest that microvascular rather than Alzheimer's pathology drives CKD-associated cognitive dysfunction in this population.

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“…Moreover, it is a well-known fact that kidney function is connected with brain activity. In clinical studies, persons suffering from chronic kidney disease (CKD) were found to be susceptible to cognitive decline and AD [66,67].…”

Section: Disease Ontology (Do) Term Enrichment Analysismentioning

confidence: 99%

Novel graph theoretic biological pathway network analytics methods for analyzing and discovering Alzheimer’s disease related genes

Saha

Soliman

Rajasekaran

2021

Preprint

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BackgroundAlzheimer’s disease (AD) is the most common form of dementia among older people. It is a complex disease and the genetics and environmental factors behind it are not conclusive yet. Traditional statistical analyses are inadequate to identify variants, genes, or pathways capable of explaining AD as a unit. In this context, pathway network analysis based on a set of curated AD-specific genes identified in the literature can elucidate biological mechanisms underneath AD. Through the network, we can infer influential pathways that can together explain AD. Consequently, we can target those pathways and corresponding genes for further analysis to develop new drugs, discover novel AD-related genes, combine multiple hypotheses, and so forth.MethodsWe have developed a novel graph theoretic algorithm that can elucidate complex biology from a given set of disease-related genes. It constructs a weighted network of enriched pathways where similarity score between a pair of pathways is defined in a context-specific manner. To make the network robust, we employ topological overlap techniques on top of the raw similarity measure. We then provide the importance of each pathway with respect to the entire network, functional modules and importance of each pathway in a specific module, gene clusters, and so forth. We also provide a method to identify a set of novel genes that can further explain the disease-related genes and the disease itself.ResultsWe have employed our algorithms onto a set of AD-specific genes. It identified three distinct functional modules that are related to metabolism, cancer, and infectious disease related pathways. These findings are matched with three recognized hypotheses in Alzheimer’s disease, e.g. “metabolism hypothesis,” “cell cycle hypothesis,” and “infectious disease hypothesis.” By analyzing the curated genes common among those functional modules, we can attain more understanding about this fateful disease. We have also identified 24 novel AD-related genes of which at least 14 genes are known to be involved in AD.ConclusionsWe developed a computational framework for analyzing biological pathways in a context-specific manner. It can be used in any sets of disease-related genes. We manifest its efficacy, reliability, and accuracy by employing a set of AD-specific genes.

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Association between chronic kidney disease and Alzheimer’s disease: an update

Cited by 54 publications

References 88 publications

Attenuative Effects of Fluoxetine and Triticum aestivum against Aluminum-Induced Alzheimer’s Disease in Rats: The Possible Consequences on Hepatotoxicity and Nephrotoxicity

Attenuative Effects of Fluoxetine and Triticum aestivum against Aluminum-Induced Alzheimer’s Disease in Rats: The Possible Consequences on Hepatotoxicity and Nephrotoxicity

Kidney Function Is Not Related to Brain Amyloid Burden on PET Imaging in The 90+ Study Cohort

Novel graph theoretic biological pathway network analytics methods for analyzing and discovering Alzheimer’s disease related genes

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