Blood markers of oxidative stress in Alzheimer's disease

Alzheimer's disease (AD) represents a highly common form of dementia, but can be diagnosed in the earlier stages before dementia onset. Early diagnosis is crucial for successful therapeutic intervention. The introduction of new diagnostic biomarkers for AD is aimed at detecting underlying brain pathology. These biomarkers reflect structural or biochemical changes related to AD. Examination of cerebrospinal fluid has many drawbacks; therefore, the search for sensitive and specific blood markers is ongoing. Investigation is mainly focused on upstream processes, among which oxidative stress in the brain is of particular interest. Products of oxidative stress may diffuse into the blood and evaluating them can contribute to diagnosis of AD. However, results of blood oxidative stress markers are not consistent among various studies, as documented in this review. To find a specific biochemical marker for AD, we should concentrate on specific metabolic products formed in the brain. Specific fluorescent intermediates of brain lipid peroxidation may represent such candidates as the composition of brain phospholipids is unique. They are small lipophilic molecules and can diffuse into the blood stream, where they can then be detected. We propose that these fluorescent products are potential candidates for blood biomarkers of AD.     

CSF total tau, Aβ42 and phosphorylated tau protein as biomarkers for Alzheimer’s disease

With the arrival of effective symptomatic treatments and the promise of drugs that may delay progression, we now need to identify Alzheimer’s disease (AD) at an early stage of the disease. To diagnose AD earlier and more accurately, attention has been directed toward peripheral biochemical markers. This article reviews promising potential cerebrospinal fluid (CSF) biomarkers for AD focussing on their role in clinical diagnosis. In particular, two biochemical markers, CSF total tau (t-tau) protein and the 42 amino acid form of β-amyloid (Aβ42), perform satisfactorily enough to achieve a role in the clinical diagnostic settings of patients with dementia together with the cumulative information from basic clinical work-up, genetic screening, and brain imaging. These CSF markers are particularly useful to discriminate early or incipient AD from age-associated memory impairment, depression, and some secondary dementias. In order to discriminate AD from other primary dementia disorders, however, more accurate and specific markers are needed. Preliminary evidence strongly suggests that quantification of tau phosphorylated at specific sites in CSF improves early detection, differential diagnosis, and tracking of disease progression in AD.     

Apports de la biologie dans le diagnostic des démences

Since 2007, the combined dosage of three biomarkers in the cerebrospinal fluid has been considered an essential component of procedures to help establish a diagnosis of Alzheimer’s disease (AD). These biomarkers include total-Tau proteins, phosphorylated variants of Tau and amyloid-beta peptides. Their levels are altered early during the course of AD but they are not useful for a differential diagnosis of other dementing disorders. Perspectives therefore focus on finding plasmatic biomarkers and developing new biomarkers that would aid discrimination between dementing disorders.     

Comparative proteomic analysis of peripheral blood mononuclear cells from atopic dermatitis patients and healthy donors

Atopic dermatitis (AD) is a chronic inflammatory skin disease that induces changes in various inflammatory skin cells. The prevalence of AD is as high as 18% in some regions of the world, and is steadily rising. However, the pathophysiology of AD is poorly understood. To identify the proteins involved in AD pathogenesis, a comparative proteomic analysis of protein expression in peripheral blood mononuclear cells isolated from AD patients and healthy donors was conducted. Significant changes were observed in the expressions of fourteen proteins, including the vinculin, PITPNB, and Filamin A proteins. Among the proteins, alpha-SNAP and FLNA decreased significantly, and PITPNB increased significantly in AD patients compared with control subjects; these findings were further confirmed by real-time PCR and Western blot analysis. The comparative proteome data may provide a valuable clue to further understand AD pathogenesis, and several differentially regulated proteins may be used as biomarkers for diagnosis and as target proteins for the development of novel drugs.     

Serum levels of inflammation factors and cognitive performance in amnestic mild cognitive impairment: a Chinese clinical study

Early diagnosis of Alzheimer's disease (AD) is important for initiating timely therapy to block or slow the rate of disease progression. This study was designed to investigate the potential of inflammation-related biomarkers in peripheral blood to accurately reflect AD onset and progression. Individuals (n=150) with amnestic mild cognitive impairment (aMCI) were divided into two subgroups (low- and high-risk) based on APOEε4 allele carrier status, and administered a battery of neuropsychological tests and tested for serum levels of IL-6, IL-10, TNF-α, and IFN-γ by using specific enzyme-linked immunosorbent assays. Results were compared with those from age-matched healthy controls (n=150). The levels of IL-6 were significantly higher in the aMCI group than in controls (P<0.01). When the aMCI group was stratified by APOEε4 status, significant differences were found between the low- and high-risk groups and controls in the levels of IL-6 and IFN-γ (P<0.01 and P=0.041, respectively). Moreover, the IL-6 level in the low-risk aMCI group was higher than that in the high-risk aMCI group (P=0.028). A weak but significant negative correlation was found between IL-6 and cognitive performance. Taken together, these findings indicate that IL-6, while not useful alone, has potential in combination with other biomarkers to support early diagnosis of aMCI due to its association with the progression of cognitive impairment.     

Reactive oxygen species: the unavoidable environmental insult?

Reactive oxygen species (ROS) are generated by a variety of sources from the environment (e.g., photo-oxidations and emissions) and normal cellular functions (e.g., mitochondrial metabolism and neutrophil activation). ROS include free radicals (e.g., superoxide and hydroxyl radicals), nonradical oxygen species (e.g., hydrogen peroxide and peroxynitrite) and reactive lipids and carbohydrates (e. g., ketoaldehydes, hydroxynonenal). Oxidative damage to DNA can occur by many routes including the oxidative modification of the nucleotide bases, sugars, or by forming crosslinks. Such modifications can lead to mutations, pathologies, cellular aging and death. Oxidation of proteins appears to play a causative role in many chronic diseases of aging including cataractogenesis, rheumatoid arthritis, and various neurodegenerative diseases including Alzheimer's Disease (AD). Our goal is to elucidate the mechanism(s) by which oxidative modification results in the disease. These studies have shown that (a) cells from old individuals are more susceptible to oxidative damage than cells from young donors; (b) oxidative protein modification is not random; (c) some of the damage can be prevented by antioxidants, but there is an age-dependent difference; and (d) an age-related impairment of recognition and destruction of modified proteins exists. It is believed that mechanistic insight into oxidative damage will allow prevention or intervention such that these insults are not inevitable. Our studies are also designed to identify the proteins which are most susceptible to ROS damage and to use these as potential biomarkers for the early diagnosis of diseases such as AD. For example, separation of proteins from cells or tissues on one- and two-dimensional gels followed by staining for both total protein and specifically oxidized residues (e.g., nitrotyrosine) may allow identification of biomarkers for AD.     

Neuroimaging Alzheimer's disease: early diagnosis, monitoring, and mechanism understanding

Neuroimaging offers a promising tool for the priority goals of current researches in Alzheimer's disease (AD) including early diagnosis, monitoring the progression of the disease and understanding the underlying mechanisms. The brain profiles of atrophy and hypometabolism associated with AD are well known and they can be used as support for early diagnosis, although the accuracy of each of these biomarkers on its own is not sufficient. An increasing number of studies highlights the relevance of disconnection processes in the development and progression of AD. The recent development of PET tracers such as the Pittsburg compound (PiB) allowing to visualize in vivo one of the neuropathological lesions characterizing AD (i.e. beta-amyloid depositions) offers a unique opportunity to better understand the mechanisms underlying this multifaceted disease.     

Neurochemical approaches of cerebrospinal fluid diagnostics in neurodegenerative diseases

Alzheimer's disease (AD), Parkinson's disease dementia (PDD)/Lewy-body disease (DLB), and frontotemporal dementia (FTD) are the major causes of memory impairment and dementia. As new therapeutic agents are visible for the different diseases, there is an ultimate need for an early and an early differential diagnosis. Since cerebrospinal fluid (CSF) is in direct contact with the central nervous system (CNS), potentially promising biomarkers might be seen there first. In principle, two research approaches can be considered for the laboratory diagnosis of dementias: (i) the direct detection of disease specific protein like Abeta-peptide-oligomers in AD or alpha-synuclein-aggregates in DLB and (ii) the detection of surrogate markers that show an altered pattern of expression in early stages of the disease or are used in the differential diagnosis of other dementias and thus enable an exclusion diagnosis. Especially Abeta-peptides and tau-protein measurements seem to employ a combination of these approaches. Until now it was shown that a combined determination of just these few markers (tau-proteins and Abeta-peptides) is already sufficient to achieve a high degree of diagnostic certainty in the diagnosis of AD. However although these markers seem to correlate with neuropathological changes and memory disturbances, these markers are not specific for a single form of dementia and further research is necessary to improve especially the early differential diagnosis of dementias.     

Analysis of lipophilic fluorescent products in blood of Alzheimer's disease patients

Alzheimer's disease (AD) is a severe neurodegenerative disorder characterized by cognitive decline. Prodromal stage of AD, also called mild cognitive impairment (MCI), especially its amnestic type (aMCI), precedes dementia stage of AD. There are currently no reliable diagnostic biomarkers of AD in the blood. Alzheimer's disease is accompanied by increased oxidative stress in brain, which leads to oxidative damage and accumulation of free radical reaction end‐products. In our study, specific products of lipid peroxidation in the blood of AD patients were studied. Lipophilic extracts of erythrocytes (AD dementia = 19, aMCI = 27, controls = 16) and plasma (AD dementia = 11, aMCI = 17, controls = 16) were analysed by fluorescence spectroscopy. The level of these products is significantly increased in erythrocytes and plasma of AD dementia and aMCI patients versus controls. We concluded that oxidative stress end‐products are promising new biomarkers of AD, but further detailed characterisation of these products is needed.     

Plasma protein profiling of Mild Cognitive Impairment and Alzheimer’s disease using iTRAQ quantitative proteomics

Background

With the promise of disease modifying treatments, there is a need for more specific diagnosis and prognosis of Alzheimer’s disease (AD) and mild cognitive impairment (MCI). Plasma biomarkers are likely to be utilised to increase diagnostic accuracy and specificity of AD and cognitive decline.

Methods

Isobaric tags (iTRAQ) and proteomic methods were used to identify potential plasma biomarkers of MCI and AD. Relative protein expression level changes were quantified in plasma of 411 cognitively normal subjects, 19 AD patients and 261 MCI patients. Plasma was pooled into 4 groups including normal control, AD, amnestic single and multiple domain MCI (aMCI), and nonamnestic single and multiple domain MCI (nMCI). Western-blotting was used to validate iTRAQ data. Integrated function and protein interactions were explored using WEB based bioinformatics tools (DAVID v6.7 and STRING v9.0).

Results

In at least two iTRAQ replicate experiments, 30 proteins were significantly dysregulated in MCI and AD plasma, relative to controls. These proteins included ApoA1, ApoB100, complement C3, C4b-binding protein, afamin, vitamin D-binding protein precursor, isoform 1 of Gelsolin actin regulator, Ig mμ chain C region (IGHM), histidine-rich glycoprotein and fibrinogen β and γ chains. Western-blotting confirmed that afamin was decreased and IGHM was increased in MCI and AD groups. Bioinformatics results indicated that these dysregulated proteins represented a diversity of biological processes, including acute inflammatory response, cholesterol transport and blood coagulation.

Conclusion

These findings demonstrate that expression level changes in multiple proteins are observed in MCI and AD plasma. Some of these, such as afamin and IGHM, may be candidate biomarkers for AD and the predementia condition of MCI.     

Biomarkers of Alzheimer’s disease in body fluids

Various innovative diagnostic methods for Alzheimer’s disease (AD) have been developed in view of the increasing preva-lence and consequences of later-life dementia. Biomarkers in cerebrospinal fluid (CSF) and blood for AD are primarily based on the detection of components derived from amyloid plaques and neurofibrillary tangles (NFTs). Published reports on CSF and blood biomarkers in AD indicate that although biomarkers in body fluids may be utilized in the clinical diagnosis of AD, there are no specific markers that permit accurate and reliable diagnosis of early-stage AD or the monitoring of disease pro-gression.     

Proteomic analysis of specific brain proteins in aged SAMP8 mice treated with alpha-lipoic acid: implications for aging and age-related neurodegenerative disorders

Free radical-mediated damage to neuronal membrane components has been implicated in the etiology of Alzheimer's disease (AD) and aging. The senescence accelerated prone mouse strain 8 (SAMP8) exhibits age-related deterioration in memory and learning along with increased oxidative markers. Therefore, SAMP8 is a suitable model to study brain aging and, since aging is the major risk factor for AD and SAMP8 exhibits many of the biochemical findings of AD, perhaps as a model for and the early phase of AD. Our previous studies reported higher oxidative stress markers in brains of 12-month-old SAMP8 mice when compared to that of 4-month-old SAMP8 mice. Further, we have previously shown that injecting the mice with alpha-lipoic acid (LA) reversed brain lipid peroxidation, protein oxidation, as well as the learning and memory impairments in SAMP8 mice. Recently, we reported the use of proteomics to identify proteins that are expressed differently and/or modified oxidatively in aged SAMP8 brains. In order to understand how LA reverses the learning and memory deficits of aged SAMP8 mice, in the current study, we used proteomics to compare the expression levels and specific carbonyl levels of proteins in brains from 12-month-old SAMP8 mice treated or not treated with LA. We found that the expressions of the three brain proteins (neurofilament triplet L protein, alpha-enolase, and ubiquitous mitochondrial creatine kinase) were increased significantly and that the specific carbonyl levels of the three brain proteins (lactate dehydrogenase B, dihydropyrimidinase-like protein 2, and alpha-enolase) were significantly decreased in the aged SAMP8 mice treated with LA. These findings suggest that the improved learning and memory observed in LA-injected SAMP8 mice may be related to the restoration of the normal condition of specific proteins in aged SAMP8 mouse brain. Moreover, our current study implicates neurofilament triplet L protein, alpha-enolase, ubiquitous mitochondrial creatine kinase, lactate dehydrogenase B, and dihydropyrimidinase-like protein 2 in process associated with learning and memory of SAMP8 mice.     

Oxidized proteins in Alzheimer's plasma

The levels of oxidatively modified proteins were examined in blood from Alzheimer's disease (AD) patients, non-AD controls, and AD relatives. Oxidative modification was measured by reacting the protein carbonyls with 2,4-dinitrophenyl hydrazine (DNPH). The total oxidized proteins were determined by HPLC, while specific protein oxidation was assessed from Western blots of electrophoretic gels using antibody to the DNP derivatives. Statistically significant elevations (P < 0.05) of total oxidized proteins were observed in both AD subjects and AD relatives when compared with non-AD controls. Moreover, a protein band (e.g., MW = 78-kDa) was uniquely oxidized in the plasma of AD subjects. Furthermore, this protein from AD subjects was more susceptible to in vitro oxidation. These data suggest that such oxidized proteins may be useful as biomarkers for the detection and evaluation of AD.     

The study of Alzheimer’s disease biomarkers

Alzheimer’s disease (AD) is by far the most common dementing illness of late life and is increasing with the ever-growing number of older adults, in particular, in developed countries. The disease is often referred to as the “Long-Goodbye” because the person with the illness slowly becomes lost to everyone a long time before the body finally gives out. Being able to detect AD earlier on during the course of the disease offers better prospects for the future, for AD individuals, their families and friends as well as on the economy, as a whole. Unfortunately, such a detection technique is not yet, available. However, there are a number of promising biological markers (biomarkers) that correlate well with clinical cognitive tests of individuals and/or postmortem histopathological manifestations of the disease, especially when at least two markers are used for the diagnosis. Biosensors are tools that combine a biochemical binding element to a signal conversion unit and are already being used in the study of some AD biomarkers. However, their use in clinical diagnosis remains a challenge. Introduction of nanotechnology leading to nanobiosensors has several potential advantages over other clinical and/or existing analytical tools, including increased assay speed, flexibility, reduced cost of diagnostic testing, potential to deliver molecular diagnostic tools to family general practitioners, and other health care systems. Even more important, nano-based assays have the potential to detect target proteins at attomolar concentration level. They are, therefore, being increasingly exploited for the detection of early metabolic changes associated with diseases. Because brain damage is irreversible, the use of nanotechnology is particularly important in AD and other neurodegenerative disorders. Nanosensors can also facilitate and enable pointofcare-testing (POCT). This article reviews the basic biochemical processes that lead to AD pathology, current biomarkers for AD, and the current role of nanosensor technology for the study of AD biomarkers. Furthermore, it discusses the huge potential of nanosensing to deliver new molecular diagnostic strategies to AD research.     

The "Alzheimer's disease signature": potential perspectives for novel biomarkers

Alzheimer's disease is a progressive and neurodegenerative disorder which involves multiple molecular mechanisms. Intense research during the last years has accumulated a large body of data and the search for sensitive and specific biomarkers has undergone a rapid evolution. However, the diagnosis remains problematic and the current tests do not accurately detect the process leading to neurodegeneration. Biomarkers discovery and validation are considered the key aspects to support clinical diagnosis and provide discriminatory power between different stages of the disorder. A considerable challenge is to integrate different types of data from new potent approach to reach a common interpretation and replicate the findings across studies and populations. Furthermore, long-term clinical follow-up and combined analysis of several biomarkers are among the most promising perspectives to diagnose and manage the disease. The present review will focus on the recent published data providing an updated overview of the main achievements in the genetic and biochemical research of the Alzheimer's disease. We also discuss the latest and most significant results that will help to define a specific disease signature whose validity might be clinically relevant for future AD diagnosis.     

Platelet biomarkers for a descending cognitive function: A proteomic approach

Memory loss is the most common clinical sign in Alzheimer''s disease (AD); thus, searching for peripheral biomarkers to predict cognitive decline is promising for early diagnosis of AD. As platelets share similarities to neuron biology, it may serve as a peripheral matrix for biomarkers of neurological disorders. Here, we conducted a comprehensive and in‐depth platelet proteomic analysis using TMT‐LC‐MS/MS in the populations with mild cognitive impairment (MCI, MMSE = 18–23), severe cognitive impairments (AD, MMSE = 2–17), and the age‐/sex‐matched normal cognition controls (MMSE = 29–30). A total of 360 differential proteins were detected in MCI and AD patients compared with the controls. These differential proteins were involved in multiple KEGG pathways, including AD, AMP‐activated protein kinase (AMPK) pathway, telomerase RNA localization, platelet activation, and complement activation. By correlation analysis with MMSE score, three positively correlated pathways and two negatively correlated pathways were identified to be closely related to cognitive decline in MCI and AD patients. Partial least squares discriminant analysis (PLS‐DA) showed that changes of nine proteins, including PHB, UQCRH, CD63, GP1BA, FINC, RAP1A, ITPR1/2, and ADAM10 could effectively distinguish the cognitively impaired patients from the controls. Further machine learning analysis revealed that a combination of four decreased platelet proteins, that is, PHB, UQCRH, GP1BA, and FINC, was most promising for predicting cognitive decline in MCI and AD patients. Taken together, our data provide a set of platelet biomarkers for predicting cognitive decline which may be applied for the early screening of AD.     

Peptide fingerprinting of Alzheimer's disease in cerebrospinal fluid: identification and prospective evaluation of new synaptic biomarkers

Background

Today, dementias are diagnosed late in the course of disease. Future treatments have to start earlier in the disease process to avoid disability requiring new diagnostic tools. The objective of this study is to develop a new method for the differential diagnosis and identification of new biomarkers of Alzheimer''s disease (AD) using capillary-electrophoresis coupled to mass-spectrometry (CE-MS) and to assess the potential of early diagnosis of AD.

Methods and Findings

Cerebrospinal fluid (CSF) of 159 out-patients of a memory-clinic at a University Hospital suffering from neurodegenerative disorders and 17 cognitively-healthy controls was used to create differential peptide pattern for dementias and prospective blinded-comparison of sensitivity and specificity for AD diagnosis against the Criterion standard in a naturalistic prospective sample of patients. Sensitivity and specificity of the new method compared to standard diagnostic procedures and identification of new putative biomarkers for AD was the main outcome measure. CE-MS was used to reliably detect 1104 low-molecular-weight peptides in CSF. Training-sets of patients with clinically secured sporadic Alzheimer''s disease, frontotemporal dementia, and cognitively healthy controls allowed establishing discriminative biomarker pattern for diagnosis of AD. This pattern was already detectable in patients with mild cognitive impairment (MCI). The AD-pattern was tested in a prospective sample of patients (n = 100) and AD was diagnosed with a sensitivity of 87% and a specificity of 83%. Using CSF measurements of beta-amyloid1-42, total-tau, and phospho₁₈₁-tau, AD-diagnosis had a sensitivity of 88% and a specificity of 67% in the same sample. Sequence analysis of the discriminating biomarkers identified fragments of synaptic proteins like proSAAS, apolipoprotein J, neurosecretory protein VGF, phospholemman, and chromogranin A.

Conclusions

The method may allow early differential diagnosis of various dementias using specific peptide fingerprints and identification of incipient AD in patients suffering from MCI. Identified biomarkers facilitate face validity for the use in AD diagnosis.     

Semiquantitative proteomic analysis of human hippocampal tissues from Alzheimer’s disease and age-matched control brains

Background

Alzheimer’s disease (AD) is the most common type of dementia affecting people over 65 years of age. The hallmarks of AD are the extracellular deposits known as amyloid β plaques and the intracellular neurofibrillary tangles, both of which are the principal players involved in synaptic loss and neuronal cell death. Tau protein and Aβ fragment 1–42 have been investigated so far in cerebrospinal fluid as a potential AD biomarkers. However, an urgent need to identify novel biomarkers which will capture disease in the early stages and with better specificity remains. High-throughput proteomic and pathway analysis of hippocampal tissue provides a valuable source of disease-related proteins and biomarker candidates, since it represents one of the earliest affected brain regions in AD.

Results

In this study 2954 proteins were identified (with at least 2 peptides for 1203 proteins) from both control and AD brain tissues. Overall, 204 proteins were exclusively detected in AD and 600 proteins in control samples. Comparing AD and control exclusive proteins with cerebrospinal fluid (CSF) literature-based proteome, 40 out of 204 AD related proteins and 106 out of 600 control related proteins were also present in CSF. As most of these proteins were extracellular/secretory origin, we consider them as a potential source of candidate biomarkers that need to be further studied and verified in CSF samples.

Conclusions

Our semiquantitative proteomic analysis provides one of the largest human hippocampal proteome databases. The lists of AD and control related proteins represent a panel of proteins potentially involved in AD pathogenesis and could also serve as prospective AD diagnostic biomarkers.