Diagnostic Marker For Alzheimer's Disease Research Articles

Long Non-Coding RNAs and Alzheimer's Disease: Towards Personalized Diagnosis.

Alzheimer's disease (AD), a neurodegenerative disorder characterized by progressive cognitive decline, is the most common form of dementia. Currently, there is no single test that can diagnose AD, especially in understudied populations and developing countries. Instead, diagnosis is based on a combination of medical history, physical examination, cognitive testing, and brain imaging. Exosomes are extracellular nanovesicles, primarily composed of RNA, that participate in physiological processes related to AD pathogenesis such as cell proliferation, immune response, and neuronal and cardiovascular function. However, the identification and understanding of the potential role of long non-coding RNAs (lncRNAs) in AD diagnosis remain largely unexplored. Here, we clinically, cognitively, and genetically characterized a sample of 15 individuals diagnosed with AD (cases) and 15 controls from Barranquilla, Colombia. Advanced bioinformatics, analytics and Machine Learning (ML) techniques were used to identify lncRNAs differentially expressed between cases and controls. The expression of 28,909 lncRNAs was quantified. Of these, 18 were found to be differentially expressed and harbored in pivotal genes related to AD. Two lncRNAs, ENST00000608936 and ENST00000433747, show promise as diagnostic markers for AD, with ML models achieving > 95% sensitivity, specificity, and accuracy in both the training and testing datasets. These findings suggest that the expression profiles of lncRNAs could significantly contribute to advancing personalized AD diagnosis in this community, offering promising avenues for early detection and follow-up.

Vascular endothelial growth factor is an effective biomarker for vascular dementia, not for Alzheimer's disease: A meta-analysis.

Vascular pathology is known to contribute to dementia and vascular endothelial growth factor (VEGF) is a well-established biomarker associated with vascular alterations. Nonetheless, research findings on VEGF in Alzheimer's disease (AD) and vascular dementia (VaD) are inconsistent across various studies. We conducted a meta-analysis to elucidate relationships between VEGF and AD/VaD. Twenty-four studies were included. Pooled data showed that both blood and cerebrospinal fluid (CSF) VEGF levels were higher in VaD patients, whereas no significant difference was found between AD patients and healthy controls. However, the correlation between blood VEGF and AD was found among studies with AD pathology verification. And blood VEGF levels were higher in AD patients than controls in "age difference<5 years" subgroup and CSF samples for European cohorts. This study highlights that VEGF is more effective for the diagnosis of VaD and vascular factors are also an important contributor in AD. Vascular endothelial growth factor (VEGF) levels were higher in the vascular dementia group, but not in the overall Alzheimer's disease (AD) group.Correlation between VEGF and AD was found among studies with clear AD pathological verification.Elevated VEGF in the cerebrospinal fluid might be a diagnostic marker for AD in European populations.

Exploration of the shared genetic biomarkers in Alzheimer's disease and chronic kidney disease using integrated bioinformatics analysis.

In order to investigate the potential link between Alzheimer's disease (AD) and chronic kidney disease (CKD), we conducted a comprehensive analysis using a bioinformatics approach. We downloaded AD and CKD datasets from the Gene Expression Omnibus database and analyzed differentially expressed genes and weighted gene co-expression networks to identify candidate genes for AD and CKD. We used a combination of the least absolute shrinkage and selection operator and random forest algorithms to select the shared genes. Subsequently, we shared genes and performed an immune infiltration analysis to investigate the association between different immune cell types and shared genes. Finally, we elucidated the relationship between the expression levels of the shared genes in disease samples and cells using single-cell analysis. Our analysis identified 150 candidate genes that may be primarily involved in immune inflammatory responses and energy metabolism pathways. We found that JunD Proto-Oncogene, ALF transcription elongation factor 1, and ZFP36 Ring Finger Protein Like 1 were the best co-diagnostic markers for AD and CKD based on the results of Least Absolute Shrinkage Selection Operator analysis and the random forest algorithm. Based on the results of immune infiltration analysis, macrophages and T-cells play a significant role in the progression of AD and CKD. Our scRNA-sequencing data showed that the 3 shared genes in AD were significantly expressed in astrocytes, excitatory neurons, oligodendrocytes, and MAIT cells. The 3 shared genes in CKD were significantly expressed in oligodendrocytes, neutrophils, fibroblasts, astrocytes, and T-cells. JunD Proto-Oncogene, ALF transcription elongation factor 1, and ZFP36 Ring Finger Protein Like 1 genes are the best diagnostic markers for AD and CKD.

Identification of diagnostic biomarkers in Alzheimer's disease by integrated bioinformatic analysis and machine learning strategies.

Alzheimer's disease (AD) is the most prevalent form of dementia, and is becoming one of the most burdening and lethal diseases. More useful biomarkers for diagnosing AD and reflecting the disease progression are in need and of significance. The integrated bioinformatic analysis combined with machine-learning strategies was applied for exploring crucial functional pathways and identifying diagnostic biomarkers of AD. Four datasets (GSE5281, GSE131617, GSE48350, and GSE84422) with samples of AD frontal cortex are integrated as experimental datasets, and another two datasets (GSE33000 and GSE44772) with samples of AD frontal cortex were used to perform validation analyses. Functional Correlation enrichment analyses were conducted based on Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and the Reactome database to reveal AD-associated biological functions and key pathways. Four models were employed to screen the potential diagnostic biomarkers, including one bioinformatic analysis of Weighted gene co-expression network analysis (WGCNA)and three machine-learning algorithms: Least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE) and random forest (RF) analysis. The correlation analysis was performed to explore the correlation between the identified biomarkers with CDR scores and Braak staging. The pathways of the immune response and oxidative stress were identified as playing a crucial role during AD. Thioredoxin interacting protein (TXNIP), early growth response 1 (EGR1), and insulin-like growth factor binding protein 5 (IGFBP5) were screened as diagnostic markers of AD. The diagnostic efficacy of TXNIP, EGR1, and IGFBP5 was validated with corresponding AUCs of 0.857, 0.888, and 0.856 in dataset GSE33000, 0.867, 0.909, and 0.841 in dataset GSE44770. And the AUCs of the combination of these three biomarkers as a diagnostic tool for AD were 0.954 and 0.938 in the two verification datasets. The pathways of immune response and oxidative stress can play a crucial role in the pathogenesis of AD. TXNIP, EGR1, and IGFBP5 are useful biomarkers for diagnosing AD and their mRNA level may reflect the development of the disease by correlation with the CDR scores and Breaking staging.

A method for the efficient evaluation of substrate-based cholinesterase imaging probes for Alzheimer’s disease

Cholinesterase (ChE) enzymes have been identified as diagnostic markers for Alzheimer disease (AD). Substrate-based probes have been synthesised to detect ChEs but they have not detected changes in ChE distribution associated with AD pathology. Probes are typically screened using spectrophotometric methods with pure enzyme for specificity and kinetics. However, the biochemical properties of ChEs associated with AD pathology are altered. The present work was undertaken to determine whether the Karnovsky-Roots (KR) histochemical method could be used to evaluate probes at the site of pathology. Thirty thioesters and esters were synthesised and evaluated using enzyme kinetic and KR methods. Spectrophotometric methods demonstrated all thioesters were ChE substrates, yet only a few provided staining in the brain with the KR method. Esters were ChE substrates with interactions with brain ChEs. These results suggest that the KR method may provide an efficient means to screen compounds as probes for imaging AD-associated ChEs.

Telomerase Reverse Transcriptase and Telomerase RNA Component Gene Expression as a Novel Biomarkers for Alzheimer's disease.

Alzheimer's disease (AD) is a neurological, age-related condition that causes cognitive decline and memory loss; it induces dementia in the elderly. Telomerase is a reverse transcriptase ribonucleoprotein that adds nucleotides to the end of DNA. This study aimed to compare human telomerase reverse transcriptase (hTERT) and telomerase RNA component (TERC) expression in different phases of AD and healthy cohorts. Sixty participants were divided into 30 who had dementia and 30 who did not. After collecting blood samples, total RNAs were extracted from the plasma. Screening for hTERT and TERC gene expression was carried out by quantitative reverse transcriptase real-time polymerase chain reaction (RT-qPCR) using the relative quantification method to estimate the expression changes in hTERT and TERC. The RT-qPCR results show that hTERT and TERC gene expression was significantly down-regulated in Alzheimer's patients compared to the health subjects (P-value= <0.0001,0.005), respectively. The area under curve AUC was 0.773 for hTERT and 0.703 for TERC. The Mini-Mental State Examination scores revealed a significant difference between dementia and non-dementia subjects (P=<0.0001). We conclude down-regulations in both hTERT and TERC gene expression in AD patients, which supports our hypothesis that the telomerase expression gene in the blood of AD patients can serve as a non-invasive, early, and novel diagnostic marker of AD.

Retinal Amyloid Imaging for Screening Alzheimer's Disease.

Cost-effective and noninvasive methods for in vivo imaging of amyloid deposition are needed to screen Alzheimer's disease (AD). Although retinal amyloid is a possible diagnostic marker of AD, there are very few studies on in vivo retinal amyloid imaging. To examine the usefulness of in vivo imaging of retinal amyloid in AD patients. To examine amyloid deposition, 30 Japanese subjects (10 normal control (NC), 7 with mild cognitive impairment (MCI), and 13 with AD) underwent a complete ophthalmic examination, including fundus imaging by scanning laser ophthalmoscopy before and after oral curcumin intake. Retinal amyloid deposition was greater in AD than in NC subjects (*p < 0.05) while MCI showed a slight but insignificant increase of retinal amyloid deposition relative to NC subjects. Retinal amyloid deposition was correlated with whole gray matter atrophy (r = 0.51, *p < 0.05) but not with the cognitive score of the Mini-Mental State Examination, nor with medial temporal lobe atrophy. The present noninvasive in vivo detection of retinal amyloid deposition is useful for screening AD patients.

A new diagnostic marker for Alzheimer disease?

A new diagnostic marker for Alzheimer disease?

Transcriptomic Analyses for Identification and Prioritization of Genes Associated With Alzheimer's Disease in Humans.

Long non-coding RNAs (lncRNAs), as important ncRNA regulators, play crucial roles in the regulation of various biological processes, and their aberrant expression is related to the occurrence and development of diseases, which is gradually validated by more and more studies. Alzheimer’s disease (AD) is a chronic neurodegenerative disease that often develops slowly and gradually deteriorates over time. However, which functions the lncRNAs perform in AD are almost unknown. In this study, we performed transcriptome analysis in AD, containing 12,892 known lncRNAs and 19,053 protein-coding genes (PCGs). Further, 14 down-regulated and 39 up-regulated lncRNAs were identified, compared with normal brain samples, which indicated that these lncRNAs might play critical roles in the pathogenesis of AD. In addition, 19 down-regulated and 28 up-regulated PCGs were also detected. Using the differentially expressed lncRNAs and PCGs through the WGCNA method, an lncRNA–mRNA co-expressed network was constructed. The results showed that lncRNAs RP3-522J7, MIR3180-2, and MIR3180-3 were frequently co-expressed with known AD risk PCGs. Interestingly, PCGs in the network are significantly enriched in brain- or AD-related biological functions, including the brain renin–angiotensin system, cell adhesion, neuroprotective role of THOP1 in AD, and so on. Furthermore, it was shown that 18 lncRNAs and 7 PCGs were highly expressed in normal brain tissue relative to other normal tissue types, suggesting their potential as diagnostic markers of AD, especially RP3-522J7, MIR3180-2, MIR3180-3, and CTA-929C8. In total, our study identified a compendium of AD-related dysregulated lncRNAs and characterized the corresponding biological functions of these lncRNAs in AD, which will be helpful to understand the molecular basis and pathogenesis of AD.

Golgin A4 in CSF and granulovacuolar degenerations of patients with Alzheimer disease.

To isolate and identify a new, as yet unknown molecule in CSF that could serve as marker for Alzheimer disease. We immunized mice with human CSF and fused hybridomas for monoclonal antibodies and screened these antibodies for their capacity to discriminate CSF of patients with Alzheimer disease from CSF of controls. We then chromatographically isolated the antigen to the best discriminating antibody and identified the antigen using mass spectrometric methods. Thereafter, we quantified the CSF concentration of the antigen in a new cohort of patients with Alzheimer disease and controls and performed immunohistochemistry of postmortem brain tissue derived from patients with Alzheimer disease and controls. We generated >200 hybridomas and selected 1 antibody that discriminated CSF from patients with Alzheimer disease from that of controls. We identified golgin A4 as the antigen detected by this antibody. Golgin A4 concentration was significantly higher in CSF from patients with Alzheimer disease than in CSF of controls (145 [interquartile range 125-155] vs 115 [ 99-128] pg/mL, p < 0.001) and demonstrated a substantial discriminative power (area under the receiver operating characteristic curve 0.80, 95% confidence interval 0.67-0.94). Immunohistochemistry of postmortem brain sections from patients with Alzheimer disease revealed a significant accumulation of golgin A4 in granulovacuolar degeneration bodies (GVBs). These results support the notion that golgin A4 could serve as a diagnostic marker in Alzheimer disease. For validation of this notion, prospective multicenter diagnostic studies will evaluate golgin A4 as diagnostic marker for Alzheimer disease. Furthermore, it has to be determined whether the association of golgin A4 with GVBs is an epiphenomenon or whether golgin A4 plays a more direct role in Alzheimer disease, allowing it to serve as a target in therapeutic treatment strategies. This study provides Class III evidence that elevated CSF golgin A4 levels identify patients with Alzheimer disease.

Synergistic Effect on Neurodegeneration by N-Truncated Aβ4−42 and Pyroglutamate Aβ3−42 in a Mouse Model of Alzheimer's Disease

The N-terminally truncated pyroglutamate Aβ3−42 (AβpE3−42) and Aβ4−42 peptides are known to be highly abundant in the brain of Alzheimer's disease (AD) patients. Both peptides show enhanced aggregation and neurotoxicity in comparison to full-length Aβ, suggesting that these amyloid peptides may play an important role in the pathogenesis of AD. The aim of the present work was to study the direct effect of the combination of AβpE3−42 and Aβ4−42 on ongoing AD-related neuron loss, pathology, and neurological deficits in transgenic mice. Bigenic mice were generated by crossing the established TBA42 and Tg4-42 mouse models expressing the N-truncated Aβ peptides AβpE3−42 and Aβ4−42, respectively. After generation of the bigenic mice, detailed phenotypical characterization was performed using either immunostainings to evaluate amyloid pathology or quantification of neuron numbers using design-based stereology. The elevated plus maze was used to study anxiety levels. In order to evaluate sensori-motor deficits, the inverted grid, the balance beam and the string suspension tasks were applied. We could demonstrate that co-expression of AβpE3−42 and Aβ4−42 accelerates neuron loss in the CA1 pyramidal layer of young bigenic mice as seen by reduced neuron numbers in comparison to single transgenic homozygous mice expressing either AβpE3−42 or Aβ4−42. This observation coincides with the robust intraneuronal Aβ accumulation observed in the bigenic mice. In addition, loss of anxiety and motor deficits were enhanced in an age-dependent manner. The sensori-motor deficits correlate with the abundant spinal cord pathology, as demonstrated by robust intracellular Aβ accumulation within motor neurons and extracellular Aβ deposition. Our observations demonstrate that a combination of AβpE3−42 and Aβ4−42 has a stronger effect on ongoing AD pathology than the peptides alone. Therefore, AβpE3−42 and Aβ4−42 might represent excellent potential therapeutic targets and diagnostic markers for AD.

Evaluation of MR-free template-based quantitation for 18F-THK5351 PET imaging

Background: Tau imaging is a potential diagnostic marker for Alzheimer disease. 18F-THK5351 is a PET radioligand with high selectivity for in vivo imaging of the pathological tau. For PET images, the regional analysis for quantitation usually requires MR image for spatial normalization.

Evaluation of Tau Imaging in Staging Alzheimer Disease and Revealing Interactions Between β-Amyloid and Tauopathy.

In vivo tau imaging may become a diagnostic marker for Alzheimer disease (AD) and provides insights into the pathophysiology of AD. To evaluate the usefulness of [18F]-AV-1451 positron emission tomography (PET) imaging to stage AD and assess the associations among β-amyloid (Aβ), tau, and volume loss. An imaging study conducted at Knight Alzheimer Disease Research Center at Washington University in St Louis, Missouri. A total of 59 participants who were cognitively normal (CN) (Clinical Dementia Rating [CDR] score, 0) or had AD dementia (CDR score, >0) were included. Standardized uptake value ratio (SUVR) of [18F]-AV-1451 in the hippocampus and a priori-defined AD cortical signature regions, cerebrospinal fluid Aβ42, hippocampal volume, and AD signature cortical thickness. Of the 59 participants, 38 (64%) were male; mean (SD) age was 74 (6) years. The [18F]-AV-1451 SUVR in the hippocampus and AD cortical signature regions distinguished AD from CN participants (area under the receiver operating characteristic curve range [95% CI], 0.89 [0.73-1.00] to 0.98 [0.92-1.00]). An [18F]-AV-1451 SUVR cutoff value of 1.19 (sensitivity, 100%; specificity, 86%) from AD cortical signature regions best separated cerebrospinal fluid Aβ42-positive (Aβ+) AD from cerebrospinal fluid Aβ42-negative (Aβ-) CN participants. This same cutoff also divided Aβ+ CN participants into low vs high tau groups. Moreover, the presence of Aβ+ was associated with an elevated [18F]-AV-1451 SUVR in AD cortical signature regions (Aβ+ participants: mean [SD], 1.3 [0.3]; Aβ- participants: 1.1 [0.1]; F = 4.3, P = .04) but not in the hippocampus. The presence of Aβ+ alone was not related to hippocampal volume or AD signature cortical thickness. An elevated [18F]-AV-1451 SUVR was associated with volumetric loss in both the hippocampus and AD cortical signature regions. The observed [18F]-AV-1451 SUVR volumetric association was modified by Aβ status in the hippocampus but not in AD cortical signature regions. An inverse association between hippocampal [18F]-AV-1451 SUVR and volume was seen in Aβ+ participants (R2 = 0.55; P < .001) but not Aβ- (R2 = 0; P = .97) participants. Use of [18F]-AV-1451 has a potential for staging of the preclinical and clinical phases of AD. β-Amyloid interacts with hippocampal and cortical tauopathy to affect neurodegeneration. In the absence of Aβ, hippocampal tau deposition may be insufficient for the neurodegenerative process that leads to AD.

Adrenomedullin Expression in Alzheimer's Brain.

Adrenomedullin (AM) is a potent vasodilator peptide highly expressed throughout the brain and originally isolated from pheochromocytoma cells. In addition to its vasoactive properties, AM is considered a neuromodulator that possesses antiapoptotic and antioxidant properties that suggest that this peptide can protect the brain from damage. In a previous study, we found that AM exerts a neuroprotective action in the brain and that this effect may be mediated by regulation of nitric oxide synthases, matrix metalloproteases, and inflammatory mediators. AM upregulation contributes to neuroprotection, but understanding the precise roles played by AM and its receptor (RAMP2) in neurodegenerative diseases including Alzheimer's disease (AD), awaits further research. In search of Alzheimer's biomarkers, the expression levels of peptides with endothelial vasodilatory action, including AM, were found to be significantly altered in mild AD or during pre-dementia stage of mild cognitive impairment. These studies concluded that ratio of AM or its precursor fragment mid-regional proAM in blood hold promise as diagnostic marker for AD. We are now presenting a study regarding the hypothesis that the AMRAMP2 system might be implicated in the pathophysiology of AD.

Clusterin Levels in Plasma Predict Cognitive Decline and Progression to Alzheimer's Disease.

Increased clusterin levels have been reported in brain, cerebrospinal fluid (CSF), and plasma of Alzheimer's disease (AD) patients. Because changes are also observed in mild cognitive impairment (MCI), a possible relationship between clusterin levels and early neurodegenerative changes in AD was suggested. To determine whether clusterin concentrations could 1) serve as a diagnostic marker for AD, 2) predict disease progression in MCI, and 3) correlate with AD-biomarkers. Clusterin levels in CSF and plasma, as well as AD biomarker levels of Aβ42, Tau, and pTau in CSF and Mini-Mental State Examination scores (MMSE) were determined in 67 controls, 50 MCI, and 107 AD patients. Repeated MMSE was obtained for 44 MCI and 72 AD patients after, on average, 2.7 years. Elevated clusterin concentrations in plasma, but not in CSF, were a risk factor for AD (HR 18.6; 95% CI 2.8-122), and related to cognitive decline in MCI (r =-0.38; p < 0.01). An inverse relation between plasma clusterin levels and cognitive decline was observed in AD patients (r = 0.23; p≤0.05). In CSF, but not in plasma, clusterin levels correlated with Tau and pTau in all groups. Elevated plasma clusterin levels in MCI confer an increased risk for progression to AD, and more rapid cognitive decline. We speculate that clusterin levels in CSF may reflect its involvement in the earliest neurodegenerative processes associated with AD pathology. Whereas neither clusterin levels in CSF nor in plasma had diagnostic value, plasma clusterin levels may serve as a prognostic marker for AD.

α-Synuclein in Cerebrospinal Fluid of Alzheimer's Disease and Mild Cognitive Impairment

In addition to amyloid-β (Aβ) and tau, α-synuclein, best known for its role in Parkinson's disease (PD), has been suggested to be involved in cognition and pathogenesis of Alzheimer's disease (AD). We investigate the potential of α-synuclein in cerebrospinal fluid (CSF) as a biomarker of cognitive decline in AD, and its prodromal phase, mild cognitive impairment (MCI). Using an established, sensitive Luminex assay, we measured α-synuclein levels in the CSF of a cohort of close to 400 healthy control, MCI, and AD subjects obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and factored in APOE genotype in data analysis. CSF α-synuclein levels were significantly higher in the MCI (p = 0.005) and AD (p < 0.001) groups, compared to controls. However, receiver operating characteristic (ROC) curve analysis suggests that CSF α-synuclein level on its own only offered modest sensitivity (65%) and specificity (74%) as a diagnostic marker of AD, with an area under the curve (AUC) value of 0.719 for AD versus controls. The effect of APOE genotype, if any, was quite subtle. However, there was a significant correlation between α-synuclein and cognition (p = 0.001), with increased α-synuclein levels associated with decreased Mini-Mental State Exam scores. Our results support a role for α-synuclein even in MCI, the early phase of AD, in addition to being a potential contributor in MCI and AD diagnosis or monitoring of disease progression.

CSF levels of the neuronal injury biomarker visinin‐like protein‐1 in Alzheimer's disease and dementia with Lewy bodies

The overlapping clinical features of Alzheimer's disease (AD) and Dementia with Lewy bodies (DLB) make differentiation difficult in the clinical environment. Evaluating the CSF levels of biomarkers in AD and DLB patients could facilitate clinical diagnosis. CSF Visinin-like protein-1 (VILIP-1), a calcium-mediated neuronal injury biomarker, has been described as a novel biomarker for AD. The aim of this study was to investigate the diagnostic utility of CSF VILIP-1 and VILIP-1/Aβ1-42 ratio to distinguish AD from DLB. Levels of CSF VILIP-1, t-tau, p-tau181P , Aβ1-42 , and α-synuclein were measured in 61 AD patients, 32 DLB patients, and 40 normal controls using commercial ELISA kits. The results showed that the CSF VILIP-1 level had significantly increased in AD patients compared with both normal controls and DLB patients. The CSF VILIP-1 and VILIP-1/Aβ1-42 levels had enough diagnostic accuracy to allow the detection and differential diagnosis of AD. Additionally, CSF VILIP-1 levels were positively correlated with t-tau and p-tau181P within each group and with α-synuclein in the AD and control groups. We conclude that CSF VILIP-1 could be a diagnostic marker for AD, differentiating it from DLB. The analysis of biomarkers, representing different neuropathologies, is an important approach reflecting the heterogeneous features of AD and DLB. Neuronal Ca(2+) -sensor protein VILIP-1 has been implicated in the calcium-mediated neuronal injury and pathological change of AD. The CSF VILIP-1 and VILIP-1/Aβ1-42 levels had enough diagnostic accuracy to allow the detection and differential diagnosis of AD. CSF VILIP-1 is a useful biomarker for AD. Evaluating the CSF levels of VILIP-1 in AD and DLB patients could facilitate clinical diagnosis.

Apolipoprotein E levels in the cerebrospinal fluid of north Indian patients with Alzheimer's disease.

The etiology of Alzheimer's disease (AD) is multifactorial involving both genetic and environmental factors. Apolipoprotein E (ApoE) gene plays a pivotal role in risk and age of onset of AD. Although it is broadly accepted that ApoE genotype is linked to the pathogenesis of AD, there are still controversial results regarding the association of ApoE levels in cerebrospinal fluid (CSF) with the occurrence of AD. Some studies have shown a positive correlation between CSF ApoE levels and AD, whereas others showed no link. In this study, we measured ApoE levels to assess the usefulness of CSF ApoE as a diagnostic marker of AD by comparing the levels in 3 patient groups and in control participants. No significant difference was observed in CSF ApoE concentrations between the patients with AD and the controls. So, it appears that CSF ApoE measurement does not offer any diagnostic advantage for AD.

Prediction of dementia in MCI patients based on core diagnostic markers for Alzheimer disease

The current model of Alzheimer disease (AD) stipulates that brain amyloidosis biomarkers turn abnormal earliest, followed by cortical hypometabolism, and finally brain atrophy ones. The aim of this study is to provide clinical evidence of the model in patients with mild cognitive impairment (MCI). A total of 73 patients with MCI from 3 European memory clinics were included. Brain amyloidosis was assessed by CSF Aβ42 concentration, cortical metabolism by an index of temporoparietal hypometabolism on FDG-PET, and brain atrophy by automated hippocampal volume. Patients were divided into groups based on biomarker positivity: 1) Aβ42- FDG-PET- Hippo-, 2) Aβ42+ FDG-PET- Hippo-, 3) Aβ42 + FDG-PET + Hippo-, 4) Aβ42 + FDG-PET+ Hippo+, and 5) any other combination not in line with the model. Measures of validity were prevalence of group 5, increasing incidence of progression to dementia with increasing biological severity, and decreasing conversion time. When patients with MCI underwent clinical follow-up, 29 progressed to dementia, while 44 remained stable. A total of 26% of patients were in group 5. Incident dementia was increasing with greater biological severity in groups 1 to 5 from 4% to 27%, 64%, and 100% (p for trend < 0.0001), and occurred increasingly earlier (p for trend = 0.024). The core biomarker pattern is in line with the current pathophysiologic model of AD. Fully normal and fully abnormal pattern is associated with exceptional and universal development of dementia. Cases not in line might be due to atypical neurobiology or inaccurate thresholds for biomarker (ab)normality.

A blood gene expression marker of early Alzheimer's disease.

A marker of Alzheimer's disease (AD) that can accurately diagnose disease at the earliest stage would significantly support efforts to develop treatments for early intervention. We have sought to determine the sensitivity and specificity of peripheral blood gene expression as a diagnostic marker of AD using data generated on HT-12v3 BeadChips. We first developed an AD diagnostic classifier in a training cohort of 78 AD and 78 control blood samples and then tested its performance in a validation group of 26 AD and 26 control and 118 mild cognitive impairment (MCI) subjects who were likely to have an AD-endpoint. A 48 gene classifier achieved an accuracy of 75% in the AD and control validation group. Comparisons were made with a classifier developed using structural MRI measures, where both measures were available in the same individuals. In AD and control subjects, the gene expression classifier achieved an accuracy of 70% compared to 85% using MRI. Bootstrapping validation produced expression and MRI classifiers with mean accuracies of 76% and 82%, respectively, demonstrating better concordance between these two classifiers than achieved in a single validation population. We conclude there is potential for blood expression to be a marker for AD. The classifier also predicts a large number of people with MCI, who are likely to develop AD, are more AD-like than normal with 76% of subjects classified as AD rather than control. Many of these people do not have overt brain atrophy, which is known to emerge around the time of AD diagnosis, suggesting the expression classifier may detect AD earlier in the prodromal phase. However, we accept these results could also represent a marker of diseases sharing common etiology.