Evaluation of Metabolic and Synaptic Dysfunction Hypotheses of Alzheimer's Disease (AD): A Meta-Analysis of CSF Markers.

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.

Small molecules and Alzheimer's disease: misfolding, metabolism and imaging.

Small molecule interactions with amyloid proteins have had a huge impact in Alzheimer's disease (AD), especially in three specific areas: amyloid folding, metabolism and brain imaging. Amyloid plaque amelioration or prevention have, until recently, driven drug development, and only a few drugs have been advanced for use in AD. Amyloid proteins undergo misfolding and oligomerization via intermediates, eventually forming protease resistant amyloid fibrils. These fibrils accumulate to form the hallmark amyloid plaques and tangles of AD. Amyloid binding compounds can be grouped into three categories, those that: i) prevent or reverse misfolding, ii) halt misfolding or trap intermediates, and iii) accelerate the formation of stable and inert amyloid fibrils. Such compounds include hydralazine, glycosaminoglycans, curcumin, beta sheet breakers, catecholamines, and ATP. The versatility of amyloid binding compounds suggests that the amyloid structure may serve as a scaffold for the future development of sensors to detect such compounds. Metabolic dysfunction is one of the earliest pathological features of AD. In fact, AD is often referred to as type 3 diabetes due to the presence of insulin resistance in the brain. A recent study indicates that altering metabolism improves cognitive function. While metabolic reprogramming is one therapeutic avenue for AD, it is more widely used in some cancer therapies. FDA approved drugs such as metformin, dichloroacetic acid (DCA), and methylene blue can alter metabolism. These drugs can therefore be potentially applied in alleviating metabolic dysfunction in AD. Brain imaging has made enormous strides over the past decade, offering a new window to the mind. Recently, there has been remarkable development of compounds that have the ability to image both types of pathological amyloids: tau and amyloid beta. We have focused on the low cost, simple to use, near infrared fluorescence (NIRF) imaging probes for amyloid beta (Aß), with specific attention on recent developments to further improve contrast, specificity, and sensitivity. With advances in imaging technologies, such fluorescent imaging probes will open new diagnostic avenues.