scholarly journals High-Throughput Metabolomics for Discovering Potential Biomarkers and Identifying Metabolic Mechanisms in Aging and Alzheimer’s Disease

2020 ◽  
Author(s):  
Kun Xie ◽  
Qi Qin ◽  
Zhiping Long ◽  
Yihui Yang ◽  
Chenghai Peng ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Stearic Acid ◽  
Natural Aging ◽  
Aging Population ◽  
Plasma Metabolites ◽  
Pathway Enrichment Analysis ◽  
Proline Metabolism ◽  
Early Screening ◽  
Potential Biomarkers

Abstract Background and Aims: Alzheimer’s disease (AD) is an aging-related neurodegenerative disease. The current diagnosis of AD may fail to identify a substantial number of asymptomatic individuals who will progress to AD. We aimed to investigate the metabolic mechanisms of aging and AD and to identify potential biomarkers for the early screening of AD in a natural aging population.Methods: To analyse the plasma metabolites related to aging, we conducted an untargeted metabolomics analysis using ultra-high-performance liquid chromatography/quadrupole time-of-flight mass spectrometry in a two-stage cross-sectional study. Spearman’s correlation analysis and random forest were applied to model the relationship between age and each metabolite. Moreover, systematic reviews of metabolomics studies of AD in the PubMed, Cochrane and Embase databases were searched to extract the differential metabolites and altered pathways from original studies. Pathway enrichment analysis was conducted using Mummichog.Results: In total, 669 metabolites were significantly altered with aging, and thirteen pathways were enriched and correlated with aging. Five metabolites (palmitic acid, stearic acid, linoleic acid, glutamine, and oleic acid) were identified as potential biomarkers for AD based on a systematic review. Arginine and histidine were considered candidate monitoring markers of disease progression in the mild cognitive impairment (MCI) population. Moreover, three pathways (purine metabolism, arginine and proline metabolism, and the TCA cycle) were shared between aging and AD. Arginine and proline metabolism play a key role in the progression from CN to MCI and to AD in the natural aging population. Three metabolites, 16-a-hydroxypregnenolone, stearic acid and PC (16:0/22:5(4Z,7Z,10Z,13Z,16Z)), were finally proposed as potential markers of AD in the natural aging population.Conclusion: The underlying mechanism shared between aging and AD and the potential biomarkers for AD diagnosis were proposed based on multistep comparative analysis.

scholarly journals High-Throughput Metabolomics for Discovering Potential Biomarkers and Identifying Metabolic Mechanisms in Aging and Alzheimer’s Disease

2021 ◽  
Vol 9 ◽  
Author(s):  
Kun Xie ◽  
Qi Qin ◽  
Zhiping Long ◽  
Yihui Yang ◽  
Chenghai Peng ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Natural Aging ◽  
Aging Population ◽  
Plasma Metabolites ◽  
Pathway Enrichment Analysis ◽  
Proline Metabolism ◽  
Early Screening ◽  
Cross Sectional ◽  
Potential Biomarkers

Alzheimer’s disease (AD) is an aging-related neurodegenerative disease. We aimed to investigate the metabolic mechanisms of aging and AD and to identify potential biomarkers for the early screening of AD in a natural aging population. To analyze the plasma metabolites related to aging, we conducted an untargeted metabolomics analysis using ultra-high-performance liquid chromatography/quadrupole time-of-flight mass spectrometry in a two-stage cross-sectional study. Spearman’s correlation analysis and random forest were applied to model the relationship between age and each metabolite. Moreover, a systematic review of metabolomics studies of AD in the PubMed, Cochrane and Embase databases were searched to extract the differential metabolites and altered pathways from original studies. Pathway enrichment analysis was conducted using Mummichog. In total, 669 metabolites were significantly altered with aging, and 12 pathways were enriched and correlated with aging. Three pathways (purine metabolism, arginine and proline metabolism, and the TCA cycle) were shared between aging and AD. Arginine and proline metabolism play a key role in the progression from healthy to mild cognitive impairment and to AD in the natural aging population. Three metabolites, 16-a-hydroxypregnenolone, stearic acid and PC[16:0/22:5(4Z,7Z,10Z,13Z,16Z)] were finally proposed as potential markers of AD in the natural aging population. The underlying mechanism shared between aging and AD and the potential biomarkers for AD diagnosis were proposed based on multistep comparative analysis.

scholarly journals The Role of Salivary Biomarkers in the Early Diagnosis of Alzheimer’s Disease and Parkinson’s Disease

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 371
Author(s):  
Patrycja Pawlik ◽  
Katarzyna Błochowiak
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Parkinson's Disease ◽  
Early Diagnosis ◽  
Neurodegenerative Diseases ◽  
Diagnostic Tool ◽  
Clinical Symptoms ◽  
Early Screening ◽  
Salivary Biomarkers

Many neurodegenerative diseases present with progressive neuronal degeneration, which can lead to cognitive and motor impairment. Early screening and diagnosis of neurodegenerative diseases such as Alzheimer’s disease (AD) and Parkinson’s disease (PD) are necessary to begin treatment before the onset of clinical symptoms and slow down the progression of the disease. Biomarkers have shown great potential as a diagnostic tool in the early diagnosis of many diseases, including AD and PD. However, screening for these biomarkers usually includes invasive, complex and expensive methods such as cerebrospinal fluid (CSF) sampling through a lumbar puncture. Researchers are continuously seeking to find a simpler and more reliable diagnostic tool that would be less invasive than CSF sampling. Saliva has been studied as a potential biological fluid that could be used in the diagnosis and early screening of neurodegenerative diseases. This review aims to provide an insight into the current literature concerning salivary biomarkers used in the diagnosis of AD and PD. The most commonly studied salivary biomarkers in AD are β-amyloid1-42/1-40 and TAU protein, as well as α-synuclein and protein deglycase (DJ-1) in PD. Studies continue to be conducted on this subject and researchers are attempting to find correlations between specific biomarkers and early clinical symptoms, which could be key in creating new treatments for patients before the onset of symptoms.

Rapid Universal Early Screening for Alzheimer's Disease and Related Dementia via Pattern Discovery in Diagnostic History

2021 ◽  
Author(s):  
Dmytro Onishchenko ◽  
Sam Searle ◽  
Kenneth Rockwood ◽  
James Mastrianni ◽  
Ishanu Chattopadhyay
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Pattern Discovery ◽  
Early Screening

scholarly journals Differentially charged isoforms of apolipoprotein E from human blood are potential biomarkers of Alzheimer’s disease

2014 ◽  
Vol 6 (4) ◽  
pp. 43 ◽  
Author(s):  
Oscar Alzate ◽  
Cristina Osorio ◽  
Robert M DeKroon ◽  
Ana Corcimaru ◽  
Harsha P Gunawardena
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Apolipoprotein E ◽  
Human Blood ◽  
Potential Biomarkers

scholarly journals Systems Pharmacological Approach to Investigate the Mechanism of Acori Tatarinowii Rhizoma for Alzheimer’s Disease

2018 ◽  
Vol 2018 ◽  
pp. 1-20 ◽  
Author(s):  
Zhenyan Song ◽  
Fang Yin ◽  
Biao Xiang ◽  
Bin Lan ◽  
Shaowu Cheng
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Enrichment Analysis ◽  
Pathway Enrichment Analysis ◽  
Therapeutic Effects ◽  
Biological Processes ◽  
Pathway Enrichment ◽  
Study Results ◽  
Target Network ◽  
Anti Inflammatory

In traditional Chinese medicine (TCM), Acori Tatarinowii Rhizoma (ATR) is widely used to treat memory and cognition dysfunction. This study aimed to confirm evidence regarding the potential therapeutic effect of ATR on Alzheimer’s disease (AD) using a system network level based in silico approach. Study results showed that the compounds in ATR are highly connected to AD-related signaling pathways, biological processes, and organs. These findings were confirmed by compound-target network, target-organ location network, gene ontology analysis, and KEGG pathway enrichment analysis. Most compounds in ATR have been reported to have antifibrillar amyloid plaques, anti-tau phosphorylation, and anti-inflammatory effects. Our results indicated that compounds in ATR interact with multiple targets in a synergetic way. Furthermore, the mRNA expressions of genes targeted by ATR are elevated significantly in heart, brain, and liver. Our results suggest that the anti-inflammatory and immune system enhancing effects of ATR might contribute to its major therapeutic effects on Alzheimer’s disease.

scholarly journals Exosomes as possible spread factor and potential biomarkers in Alzheimer's disease: current concepts

2018 ◽  
Vol 12 (9) ◽  
pp. 1025-1033 ◽  
Author(s):  
Ryszard Pluta ◽  
Marzena Ułamek-Kozioł ◽  
Sławomir Januszewski ◽  
Stanisław J Czuczwar
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Spread Factor ◽  
Potential Biomarkers
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