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A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status
Published on: October 20, 2016
Evaluation of Metabolic and Synaptic Dysfunction Hypotheses of Alzheimer's Disease (AD): A Meta-Analysis of CSF
Roni Manyevitch1, Matthew Protas1, Sean Scarpiello1
1Department of Physiology and Neuroscience, School of Medicine, St George's University, True Blue, St George's, Grenada, W.I. United States.
Background:
Alzheimer's disease (AD) is currently incurable and a majority of investigational drugs have failed clinical trials. One explanation for this failure may be the invalidity of hypotheses focusing on amyloid to explain AD pathogenesis. Recently, hypotheses which are centered on synaptic and metabolic dysfunction are increasingly implicated in AD.
Objective:
Evaluate AD hypotheses by comparing neurotransmitter and metabolite marker concentrations in normal versus AD CSF.
Methods:
Meta-analysis allows for statistical comparison of pooled, existing cerebrospinal fluid (CSF) marker data extracted from multiple publications, to obtain a more reliable estimate of concentrations. This method also provides a unique opportunity to rapidly validate AD hypotheses using the resulting CSF concentration data. Hubmed, Pubmed and Google Scholar were comprehensively searched for published English articles, without date restrictions, for the keywords "AD", "CSF", and "human" plus markers selected for synaptic and metabolic pathways. Synaptic markers were acetylcholine, gamma-aminobutyric acid (GABA), glutamine, and glycine. Metabolic markers were glutathione, glucose, lactate, pyruvate, and 8 other amino acids. Only studies that measured markers in AD and controls (Ctl), provided means, standard errors/deviation, and subject numbers were included. Data were extracted by six authors and reviewed by two others for accuracy. Data were pooled using ratio of means (RoM of AD/Ctl) and random effects meta-analysis using Cochrane Collaboration's Review Manager software.
Results:
Of the 435 identified publications, after exclusion and removal of duplicates, 35 articles were included comprising a total of 605 AD patients and 585 controls. The following markers of synaptic and metabolic pathways were significantly changed in AD/controls: acetylcholine (RoM 0.36, 95% CI 0.24-0.53, p<0.00001), GABA (0.74, 0.58-0.94, p<0.01), pyruvate (0.48, 0.24-0.94, p=0.03), glutathione (1.11, 1.01- 1.21, p=0.03), alanine (1.10, 0.98-1.23, p=0.09), and lower levels of significance for lactate (1.2, 1.00-1.47, p=0.05). Of note, CSF glucose and glutamate levels in AD were not significantly different than that of the controls.
Conclusion:
This study provides proof of concept for the use of meta-analysis validation of AD hypotheses, specifically via robust evidence for the cholinergic hypothesis of AD. Our data disagree with the other synaptic hypotheses of glutamate excitotoxicity and GABAergic resistance to neurodegeneration, given observed unchanged glutamate levels and decreased GABA levels. With regards to metabolic hypotheses, the data supported upregulation of anaerobic glycolysis, pentose phosphate pathway (glutathione), and anaplerosis of the tricarboxylic acid cycle using glutamate. Future applications of meta-analysis indicate the possibility of further in silico evaluation and generation of novel hypotheses in the AD field.
Insights
This meta-analysis found significant changes in cerebrospinal fluid (CSF) markers, supporting synaptic and metabolic dysfunction in Alzheimer's disease (AD). The findings validate the cholinergic hypothesis and suggest new avenues for AD research.
Area of Science:
- Neuroscience
- Biochemistry
- Medical Research
Background:
- Alzheimer's disease (AD) remains incurable, with many drug trials failing, possibly due to flawed amyloid-centric hypotheses.
- Emerging hypotheses implicate synaptic and metabolic dysfunction in AD pathogenesis.
Purpose of the Study:
- To evaluate current Alzheimer's disease hypotheses by comparing neurotransmitter and metabolite concentrations in cerebrospinal fluid (CSF) between AD patients and controls.
- To utilize meta-analysis for robust validation of AD hypotheses using existing CSF marker data.
Main Methods:
- A comprehensive literature search was conducted for studies measuring synaptic and metabolic markers in AD and control CSF.
- Data from 35 eligible studies (605 AD patients, 585 controls) were pooled using random-effects meta-analysis.
- Key markers analyzed included acetylcholine, GABA, pyruvate, glutathione, lactate, and glucose.
Main Results:
- Significant differences in CSF marker concentrations were observed in AD patients compared to controls.
- Acetylcholine, GABA, pyruvate, and glutathione levels were significantly altered in AD.
- While some metabolic pathways showed upregulation, glutamate and glucose levels did not differ significantly between groups.
Conclusions:
- Meta-analysis provides a powerful tool for validating AD hypotheses, offering robust support for the cholinergic hypothesis.
- Findings challenge glutamate excitotoxicity and GABAergic resistance hypotheses, while supporting metabolic dysfunction theories.
- This approach enables in silico evaluation and the generation of novel hypotheses for Alzheimer's disease research.
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