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Alzheimer's disease (AD) is a progressive neurodegenerative disorder of the central nervous system. Two pathological hallmarks in the brain of AD patients are neurofibrillary tangles and senile plaques. The plaques consist mainly of beta-amyloid (Abeta) peptides that are produced from the amyloid precursor protein (APP), by sequential cleavage by beta- and gamma-secretase. Most previous studies have been focused on the C-terminal fragments of APP, where the Abeta sequence is localized. The purpose of this study was to search for N-terminal fragments of APP in cerebrospinal fluid (CSF) using mass spectrometry (MS). By using immunoprecipitation (IP) combined with matrix-assisted laser desorption/ionization time-of-flight MS as well as nanoflow liquid chromatography coupled to high resolution tandem MS we were able to detect and identify six novel N-terminal APP fragments [APP((18-119)), APP((18-121)), APP((18-122)), APP((18-123)), APP((18-124)) and APP((18-126))], having molecular masses of approximately 12 kDa. The presence of these APP derivatives in CSF was also verified by Western blot analysis. Two pilot studies using either IP-MS or Western blot analysis indicated slightly elevated levels of N-terminal APP fragments in CSF from AD patients compared with controls, which are in need of replications in independent and larger patient materials., (Copyright (c) 2009 Elsevier Inc. All rights reserved.)

Introduction: LY450139 (semagacestat) inhibits gamma-secretase, a key enzyme for generation of amyloid beta (Abeta), the peptide deposited in plaques in Alzheimer disease (AD). Previous data have shown that LY450139 lowers plasma Abeta, but has no clear effect on Abeta1-40 or Abeta1-42 levels in cerebrospinal fluid (CSF). By using targeted proteomics techniques, we recently identified several shorter Abeta isoforms, such as Abeta1-16, that in experimental settings increase during gamma-secretase inhibitor treatment, and thus may serve as sensitive biochemical indices of the treatment effect. Here, we test the hypothesis that these shorter Abeta isoforms may be biomarkers of gamma-secretase inhibitor treatment in clinical trials., Methods: In a phase II clinical trial, 35 individuals with mild to moderate AD were randomized to placebo (n = 10) or LY450139 (100 mg (n = 15) or 140 mg (n = 10)) and underwent lumbar puncture at baseline and after 14 weeks of treatment. The CSF Abeta isoform pattern was analyzed with immunoprecipitation combined with MALDI-TOF mass spectrometry., Results: The CSF levels of Abeta1-14, Abeta1-15, and Abeta1-16 showed a dose-dependent increase by 57% and 74%, 21% and 35%, and 30% and 67%, respectively in the 100-mg and 140-mg treatment groups. Abeta1-40 and Abeta1-42 were unaffected by treatment., Conclusions: CSF Abeta1-14, Abeta1-15, and Abeta1-16 increase during gamma-secretase inhibitor treatment in AD, even at doses that do not affect Abeta1-42 or Abeta1-40, probably because of increased substrate availability of the C99 APP stub (APP beta-CTF) induced by gamma-secretase inhibition. These Abeta isoforms may be novel sensitive biomarkers to monitor the biochemical effect in clinical trials., Trial Registration: Clinical Trials.gov NCT00244322.

Numerous studies have shown a marked decrease of beta-amyloid(42) (Abeta(42)) in the cerebrospinal fluid (CSF) of patients with incipient Alzheimer's disease (AD). However, studies on Abeta in plasma are contradictory, and show very marginal differences between patients and controls. Here, we analyzed plasma samples using a new multiplex immunoassay for simultaneous analysis of Abeta(1-40), Abeta(n-40), Abeta(1-42), and Abeta(n-42). The plasma samples were obtained at baseline from two independent cohorts of patients with mild cognitive impairment (MCI) and age-matched controls. In the first cohort, 41% of the 117 MCI cases converted to AD during a clinical follow-up period of 4-7 years. In the second cohort, 14% of the 110 MCI subjects developed AD during a clinical follow-up period of 2-4 years. None of the plasma Abeta isoforms differed between MCI patients that subsequently developed AD and healthy controls or stable MCI patients. The Cox proportional hazards model did not reveal any differences in the probability of progression from MCI to AD related to plasma Abeta levels. In contrast, low levels of Abeta(1-42) in CSF were strongly associated with increased risk of future AD. The absence of a change in plasma Abeta in incipient AD, despite the marked change in CSF, may be explained by the lack of a correlation between the levels of Abeta(1-42) in CSF and plasma. In conclusion, the results show that CSF biomarkers are better predictors of progression to AD than plasma Abeta isoforms., (Copyright 2008 Elsevier Inc. All rights reserved.)

Background: Alzheimer's disease (AD) is associated with deposition of amyloid beta (Abeta) in the brain, which is reflected by low concentration of the Abeta1-42 peptide in the cerebrospinal fluid (CSF). There are at least 15 additional Abeta peptides in human CSF and their relative abundance pattern is thought to reflect the production and degradation of Abeta. Here, we test the hypothesis that AD is characterized by a specific CSF Abeta isoform pattern that is distinct when comparing sporadic AD (SAD) and familial AD (FAD) due to different mechanisms underlying brain amyloid pathology in the two disease groups., Results: We measured Abeta isoform concentrations in CSF from 18 patients with SAD, 7 carriers of the FAD-associated presenilin 1 (PSEN1) A431E mutation, 17 healthy controls and 6 patients with depression using immunoprecipitation-mass spectrometry. Low CSF levels of Abeta1-42 and high levels of Abeta1-16 distinguished SAD patients and FAD mutation carriers from healthy controls and depressed patients. SAD and FAD were characterized by similar changes in Abeta1-42 and Abeta1-16, but FAD mutation carriers exhibited very low levels of Abeta1-37, Abeta1-38 and Abeta1-39., Conclusion: SAD patients and PSEN1 A431E mutation carriers are characterized by aberrant CSF Abeta isoform patterns that hold clinically relevant diagnostic information. PSEN1 A431E mutation carriers exhibit low levels of Abeta1-37, Abeta1-38 and Abeta1-39; fragments that are normally produced by gamma-secretase, suggesting that the PSEN1 A431E mutation modulates gamma-secretase cleavage site preference in a disease-promoting manner.

Heart fatty acid binding protein (HFABP) has been proposed as a putative marker for dementia disorders. To evaluate the value of this protein as an early marker of Alzheimer's disease (AD), we analyzed HFABP level and the classical biomarkers amyloid-β (Aβ)1-42, total tau (t-tau), and phosphorylated tau (p-tau) in cerebrospinal fluid (CSF) of patients with mild cognitive impairment (MCI) followed up for four years (n=41), AD (n=32), and subjects with other neurological diseases without dementia (OND, n=25). HFABP levels were higher in AD patients and in MCI converting to AD (MCI-AD) with respect to OND and to cognitively stable MCI patients (MCI-MCI). The receiver operator characteristics analysis for HFABP alone showed a sensitivity of 87% and a specificity of 81% for AD versus OND (area under the curve, AUC=0.83); sensitivity and specificity were 46% and 94%, respectively, when comparing MCI-MCI versus MCI-AD. CSF HFABP levels showed a strong positive correlation with both t-tau and p-tau. Interestingly, the ratio between HFABP and Aβ1-42 improved the performance in distinguishing AD from OND (sensitivity: 90%; specificity 82%, AUC=0.89), and gave the best accuracy in discriminating MCI-AD from MCI-MCI (sensitivity: 80%; specificity 100%, AUC=0.90). Survival analysis by means of Kaplan-Meier curve showed a significantly higher proportion of MCI patients converting to AD in the group with higher values of HFABP/Aβ1-42 ratio (cut-off=0.7). A significant correlation between HFABP/Aβ1-42 ratio and MMSE annual decrease rate was also documented (p<0.0001). HFABP /Aβ1-42 ratio might be a useful predictor of conversion in MCI patients.

Much is unknown regarding the regulation of Alzheimer-related amyloid-beta protein precursor (AbetaPP)-processing in the human central nervous system. It has been hypothesized that amyloidogenic AbetaPP-processing preferentially occurs in the regulated secretory pathway of neurons. To test this hypothesis we looked for correlations of AbetaPP-derived molecules in cerebrospinal fluid (CSF) with chromogranin (Cg) derived peptides, representing the regulated secretion. Patients with Alzheimer's disease (AD, N=32), multiple sclerosis (MS, N=50), and healthy controls (N= 70) were enrolled. CSF was analyzed for the amyloid peptides Abeta1-42, Abetax-42, Abetax-40, Abetax-38, alpha-cleaved soluble AbetaPP (sAbetaPPalpha), beta-cleaved soluble AbetaPP (sAbetaPPbeta), and peptides derived from CgB and SgII (Secretogranin-II, CgC). We investigated CSF levels of the protease BACE1, which processes AbetaPP into Abeta, in relation to Cg-levels. Finally, we measured Cg levels in cell media from untreated and BACE1-inhibited SH-SY5Y human neuroblastoma cells. CSF Cg levels correlated to sAbetaPP and Abeta peptides in AD, MS, and controls, and to CSF BACE1. Cell medium from BACE1-inhibited cells had decreased CgB levels. These results suggest that a large part of AbetaPP in the human central nervous system is processed in the regulated secretory pathway of neurons.

Background: Because of the emerging intersections of HIV infection and Alzheimer's disease, we examined cerebrospinal fluid (CSF) biomarkers related of amyloid and tau metabolism in HIV-infected patients., Methods: In this cross-sectional study we measured soluble amyloid precursor proteins alpha and beta (sAPPalpha and sAPPbeta), amyloid beta fragment 1-42 (Abeta1-42), and total and hyperphosphorylated tau (t-tau and p-tau) in CSF of 86 HIV-infected (HIV+) subjects, including 21 with AIDS dementia complex (ADC), 25 with central nervous system (CNS) opportunistic infections and 40 without neurological symptoms and signs. We also measured these CSF biomarkers in 64 uninfected (HIV-) subjects, including 21 with Alzheimer's disease, and both younger and older controls without neurological disease., Results: CSF sAPPalpha and sAPPbeta concentrations were highly correlated and reduced in patients with ADC and opportunistic infections compared to the other groups. The opportunistic infection group but not the ADC patients had lower CSF Abeta1-42 in comparison to the other HIV+ subjects. CSF t-tau levels were high in some ADC patients, but did not differ significantly from the HIV+ neuroasymptomatic group, while CSF p-tau was not increased in any of the HIV+ groups. Together, CSF amyloid and tau markers segregated the ADC patients from both HIV+ and HIV- neuroasymptomatics and from Alzheimer's disease patients, but not from those with opportunistic infections., Conclusions: Parallel reductions of CSF sAPPalpha and sAPPbeta in ADC and CNS opportunistic infections suggest an effect of CNS immune activation or inflammation on neuronal amyloid synthesis or processing. Elevation of CSF t-tau in some ADC and CNS infection patients without concomitant increase in p-tau indicates neural injury without preferential accumulation of hyperphosphorylated tau as found in Alzheimer's disease. These biomarker changes define pathogenetic pathways to brain injury in ADC that differ from those of Alzheimer's disease.

Background: Mild cognitive impairment (MCI) is an etiologically unclear disorder. Cerebrospinal fluid (CSF) biomarkers are potentially useful for the differentiation between various MCI etiologies., Aim: The aim of the study was to assess whether baseline CSF hyperphosphorylated tau (P-tau), total tau (T-tau), amyloid beta 1-42 (Abeta(42)) and neurofilament light (NF-L) in patients with MCI could predict subcortical vascular dementia (SVD) and Alzheimer's disease (AD) at follow-up., Methods: Biomarker levels were assessed by Luminex xMAP technology and ELISA., Results: Increased baseline concentrations of NF-L significantly separated MCI-SVD from stable MCI. The MCI-SVD patients were inseparable from stable MCI but separable from patients developing AD (MCI-AD) on the basis of Abeta(42,) T-tau and P-tau(181) levels., Conclusion: A combination of the biomarkers Abeta(42), T-tau, P-tau(181) and NF-L has the potential to improve the clinical separation of MCI-SVD patients from stable MCI and MCI-AD patients., (2009 S. Karger AG, Basel.)

Neurodegenerative diseases are characterized by premature neuronal loss in specific brain regions. During the past decades our knowledge on molecular mechanisms underlying neurodegeneration has increased immensely and resulted in promising drug candidates that might slow down or even stop the neuronal loss. These advances have put a strong focus on the development of diagnostic tools for early or pre-clinical detection of the disorders. In this review we discuss our experience in the field of neuroproteomics/peptidomics, with special focus on biomarker discovery studies that have been performed on CSF samples from well-defined patient and control populations.

Background: We used a sensitive and specific beta-site amyloid precursor protein (APP)-cleaving enzyme 1 (BACE1) assay to determine the relationship between BACE1 activity in cerebrospinal fluid (CSF) and markers of APP metabolism and axonal degeneration in early and late stages of Alzheimer disease (AD)., Objective: To assess CSF BACE1 activity in AD., Design: Case-control and longitudinal follow-up study., Setting: Specialized memory clinic. Patients Eighty-seven subjects with AD, 33 cognitively normal control subjects, and 113 subjects with mild cognitive impairment (MCI), who were followed up for 3 to 6 years., Main Outcome Measures: Cerebrospinal fluid BACE1 activity in relation to diagnosis and CSF levels of secreted APP and amyloid beta protein (Abeta) isoforms and the axonal degeneration marker total tau., Results: Subjects with AD had higher CSF BACE1 activity (median, 30 pM [range, 11-96 pM]) than controls (median, 23 pM [range, 8-43 pM]) (P =.02). Subjects with MCI who progressed to AD during the follow-up period had higher baseline BACE1 activity (median, 35 pM [range, 18-71 pM]) than subjects with MCI who remained stable (median, 29 pM [range, 14-83 pM]) (P < .001) and subjects with MCI who developed other forms of dementia (median, 20 pM [range, 10-56 pM]) (P <.001). BACE1 activity correlated positively with CSF levels of secreted APP isoforms and Abeta(40) in the AD and control groups and in all MCI subgroups (P < .05) except the MCI subgroup that developed AD. Strong positive correlations were found between CSF BACE1 activity and total tau levels in all MCI subgroups (r >or= 0.57, P

Diagnosis and monitoring of sporadic Alzheimer's disease (AD) have long depended on clinical examination of individuals with end-stage disease. However, upcoming anti-AD therapies are optimally initiated when individuals show very mild signs of neurodegeneration. There is a developing consensus for cerebrospinal fluid amyloid-beta (Abeta) as a core biomarker for the mild cognitive impairment stage of AD. Abeta is directly involved in the pathogenesis of AD or tightly correlated with other primary pathogenic factors. It is produced from amyloid precursor protein (APP) by proteolytic processing that depends on the beta-site APP-cleaving enzyme 1 and the gamma-secretase complex, and is degraded by a broad range of proteases. This review summarizes targeted proteomic studies of Abeta in biological fluids and identifies clinically useful markers of disrupted Abeta homeostasis in AD. The next 5 years will see a range of novel assays developed on the basis of these results. From a longer perspective, establishment of the most effective combinations of different biomarkers and other diagnostic modalities may be foreseen.

Pathogenic events in Alzheimer's disease are believed to involve an imbalance between the production and clearance of the neurotoxic 42 amino acid form of the beta-amyloid peptide (Abeta1-42). Although much is known about the production of Abeta1-42, many questions remain about its degradation. Here, we describe an optimized automated immunoprecipitation mass spectrometry method that enables accurate and rapid monitoring of the major Abeta isoforms in cerebrospinal fluid. Furthermore, we describe a technique of antibody immobilization, minimizing background signals. The identities of these Abeta products were confirmed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and nanoflow liquid chromatography and tandem mass spectrometry with a hybrid linear trap Fourier transform ion cyclotron resonance mass spectrometer. Finally, we report the finding of two novel Abeta peptides (Abeta2-17 and Abeta3-17).

Alzheimer's disease is an age-related neurodegenerative disorder that results in progressive cognitive impairment and death. The accumulation of beta-amyloid (Abeta) in specific brain regions is believed by many to represent the earliest event in the pathogenesis of the disease. Here, we review the key aspects of Abeta as a biomarker for Alzheimer's disease, including the pathogenicity of Abeta, the possible biological functions of its precursor protein, the Abeta metabolism and homeostasis, the diagnostic performance of different Abeta assays in different settings and the potential usefulness of Abeta as a surrogate marker for treatment efficacy in clinical trials of novel Abeta-targeting drugs against Alzheimer's disease.

Pathogenic events in Alzheimer's disease (AD) involve an imbalance between the production and clearance of the neurotoxic beta-amyloid peptide (Abeta), especially the 42 amino acid peptide Abeta1-42. While much is known about the production of Abeta1-42, many questions remain about how the peptide is degraded. To investigate the degradation pattern, we developed a method based on immunoprecipitation combined with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry that determines the Abeta degradation fragment pattern in cerebrospinal fluid (CSF). We found in total 18 C-terminally and 2 N-terminally truncated Abeta peptides and preliminary data indicated that there were differences in the detected Abeta relative abundance pattern between AD and healthy controls. Here, we provide direct evidence that an Abeta fragment signature consisting of Abeta1-16, Abeta1-33, Abeta1-39, and Abeta1-42 in CSF distinguishes sporadic AD patients from non-demented controls with an overall accuracy of 86%.