Cerebrospinal Fluid Aβ42 Concentrations Research Articles

Abstract WMP14: Cerebrospinal Fluid Beta-Amyloid Concentration and MRI Manifestations of Cerebral Amyloid Angiopathy

Background: Cerebral amyloid angiopathy (CAA) is associated with reduced cerebrospinal fluid (CSF) levels of the beta-amyloid (Aβ) 40- and 42-amino acid species, thought to reflect the burden of vascular Aβ deposition in the brain. Little is known regarding the association of CSF Aβ reduction with specific MRI manifestations of CAA. Methods: We identified 31 patients with CAA per Boston criteria v2.0 (1 definite, 27 probable, and 3 possible), who underwent CSF sampling for measurement of Aβ42, total tau (t-tau), and phospho-tau (p-tau) as part of their evaluation with ADmark (Athena Diagnostics). We assessed the following MRI manifestations of CAA while blinded to CSF biomarkers: the presence of cortical superficial siderosis (cSS), number of lobar cerebral microbleeds (CMBs), pattern and severity of white matter hyperintensities (WMH), and number of enlarged perivascular spaces in centrum semiovale (CSO-EPVS). Results: Median age of presentation was 69 years (range 56-89). Out of 31 patients, 19 were female (61.3%), 20 (64.5%) presented with cognitive impairment, 9 (29%) with intracerebral hemorrhage, and 2 (6.5%) with transient focal neurologic events. Mean (±SD) CSF Aβ42 concentration in our cohort was 359.3±126.7 pg/ml, substantially reduced relative to that reported in healthy controls. MRI manifestations associated with reduced Aβ42 without altered tau were presence of cSS (310±136 vs. 406±101, p=0.03) and higher burden of CSO-EPVS (307±101 vs. 431±127, p=0.005). Patients presented with cognitive impairment had higher tau levels (t-tau: 551±320 vs. 317±141, p=0.03; p-tau: 75.7±39.8 vs. 49.2±22.4, p=0.05) without altered Aβ42. Similar results were obtained when patients with possible CAA were excluded. Discussion: Our results suggest that presence of cSS and higher burden of CSO-EPVS are associated with lower Aβ42 concentration in CSF, potentially reflecting higher overall burden of vascular Aβ deposition in the brain. We found that higher tau concentrations in CSF are associated with cognitive impairment, presumably reflecting concomitant Alzheimer’s disease pathology. These results help inform interpretation of this clinically accessible test in practice and suggest potential mechanisms for specific CAA-related pathologies.

Subtle Differences in Cognition in 70-Year-Olds with Elevated Cerebrospinal Fluid Neurofilament Light and Neurogranin: A H70 Cross-Sectional Study.

Most research on cerebrospinal fluid (CSF) neurofilament light protein (NfL) as a marker for neurodegeneration and neurogranin (Ng) for synaptic dysfunction has largely focused on clinical cohorts rather than population-based samples. We hypothesized that increased CSF levels of NfL and Ng are associated with subtle cognitive deficits in cognitively unimpaired (CU) older adults. The sample was derived from the Gothenburg H70 Birth Cohort Studies and comprised 258 CU 70-year-olds, with a Clinical Dementia Rating score of zero. All participants underwent extensive cognitive testing. CSF levels of NfL and Ng, as well as amyloid β1-42, total tau, and phosphorylated tau, were measured. Participants with high CSF NfL performed worse in one memory-based test (Immediate recall, p = 0.013) and a language test (FAS, p = 0.016). Individuals with high CSF Ng performed worse on the memory-based test Supra Span (p = 0.035). When stratified according to CSF tau and Aβ42 concentrations, participants with high NfL and increased tau performed worse on a memory test than participants normal tau concentrations (Delayed recall, p = 0.003). In participants with high NfL, those with pathologic Aβ42 concentrations performed worse on the Delayed recall memory (p = 0.044). In the high Ng group, participants with pathological Aβ42 concentrations had lower MMSE scores (p = 0.027). However, in regression analysis we found no linear correlations between CSF NfL or CSF Ng in relation to cognitive tests when controlled for important co-variates. Markers of neurodegeneration and synaptic pathology might be associated with subtle signs of cognitive decline in a population-based sample of 70-year-olds.

Aβ42 as a Biomarker of Alzheimer's Disease: Is Saliva a Viable Alternative to Cerebrospinal Fluid?

The identification of reliable biomarkers in biological fluids is paramount to optimizing the diagnosis of Alzheimer's disease (AD). Measurement of Aβ42, t-tau, and p-tau in cerebrospinal fluid (CSF) is the most accepted method to support the diagnosis of AD. However, lumbar puncture represents an invasive investigation, whereas saliva is one of the most accessible body fluids. The aim of our study was to investigate salivary concentrations in AD and evaluate the correlation between salivary and CSF Aβ42 concentrations in AD patients, patients with non-AD dementias, and controls. We recruited 100 subjects: 18 AD patients, 64 patients with non-AD dementias, and 18 controls. The mean saliva Aβ42 concentrations in AD patients were higher than in controls (p < 0.001), and to patients with non-AD dementias (p = 0.001). A significant negative correlation between salivary and CSF Aβ42 concentrations was found in the overall group (r = -0.562, p < 0.001) and in non-AD patients (r = -0.443, p < 0.001). Salivary Aβ42 concentrations positively correlated with CSF t-tau (r = 0.321, p = 0.001) and p-tau (r = 0.297, p = 0.001). Our study showed that in AD patients' saliva, Aβ42 concentrations are specifically increased, and we found an interesting negative correlation between CSF and salivary Aβ42 concentrations that warrants further investigation.

Reduced CSF Aβ42 and Aβ42/Aβ40 ratio during early cerebral amyloid deposition in the AppNL‐F knock‐in mouse model of Alzheimer’s disease

AbstractBackgroundThe concentration of Aβ42 in cerebrospinal fluid (CSF) is decreased at least a decade before cognitive symptoms caused by Alzheimer’s disease (AD) manifest. This drop in concentration has been suggested to occur before abnormal levels of fibrillar Aβ in the brain are reached, but the underlying cause is not well understood. The present study aims to explore the translational potential of the App NL‐F knock‐in mouse model, and compare it to transgenic App‐overexpressing 3xTg mice, for investigation of the early events in Aβ pathology that associates with reduced CSF Aβ42 in preclinical AD.MethodCSF and brain tissue was collected from 3‐18 months old App NL‐F knock‐in mice (n=56) and 3‐24 months old 3xTg mice (n=74). CSF Aβ40 and Aβ42 concentrations were measured using Single Molecule Array (Simoa) technology and immunohistochemistry was performed on brain sections for detection of cerebral Aβ deposition.ResultIn App NL‐F knock‐in mice, CSF Aβ40 remained unchanged while CSF Aβ42 and Aβ42/Aβ40 ratio were reduced from 12 months of age after which a plateau was reached (Fig.1). The initial reduction coincided with early deposition of cortical Aβ42 in the brain that gradually increased with age (Fig.2). Accordingly, in the whole study population, CSF Aβ42 and Aβ42/Aβ40 ratio showed a moderate negative hyperbolic association with cortical Aβ42 load (Fig.3). In comparison, increased CSF Aβ40 and Aβ42 was observed in 3xTg mice prior to Aβ plaque deposition, although the Aβ42/Aβ40 ratio remained stable. These changes coincided with the accumulation of cerebral intracellular Aβ. Once Aβ plaques started to deposit in the brain from 12 months of age, a subsequent reduction of CSF Aβ42 and Aβ42/Aβ40 was observed (Fig.4).ConclusionIn line with clinical findings, CSF Aβ42 and Aβ42/Aβ40 ratio are reduced in App NL‐F knock‐in mice and seem to reflect pathological processes that occur slightly before deposition of amyloid in the brain is widespread. This reduction quickly starts to stabilize towards a plateau, although accumulation of cerebral amyloid steadily continues to increase. In contrast to 3xTg mice, no initial increase in CSF Aβ40 and Aβ42 was observed and further studies are needed to elucidate these differences and their translational implication.

Cerebrospinal Fluid Biomarkers in iNPH: A Narrative Review.

Idiopathic normal pressure hydrocephalus (iNPH) is a neurological syndrome characterized by the clinical triad of gait disorder, cognitive impairment and urinary incontinence. It has attracted interest because of the possible reversibility of symptoms, especially with timely treatment. The main pathophysiological theory is based on a vicious circle of disruption in circulation of cerebrospinal fluid (CSF) that leads to the deceleration of its absorption. Data regarding CSF biomarkers in iNPH are contradictory and no definite CSF biomarker profile has been recognized as in Alzheimer's disease (AD), which often co-exists with iNPH. In this narrative review, we investigated the literature regarding CSF biomarkers in iNPH, both the established biomarkers total tau protein (t-tau), phosphorylated tau protein (p-tau) and amyloid peptide with 42 amino acids (Aβ42), and other molecules, which are being investigated as emerging biomarkers. The majority of studies demonstrate differences in CSF concentrations of Aβ42 and tau-proteins (t-tau and p-tau) among iNPH patients, healthy individuals and patients with AD and vascular dementia. iNPH patients present with lower CSF Aβ42 and p-tau concentrations than healthy individuals and lower t-tau and p-tau concentrations than AD patients. This could prove helpful for improving diagnosis, differential diagnosis and possibly prognosis of iNPH patients.

The iterative process of fluid biomarker development and validation in Alzheimer's disease

The iterative process of fluid biomarker development and validation in Alzheimer's disease

Saliva Neurofilament Light Chain Is Not a Diagnostic Biomarker for Neurodegeneration in a Mixed Memory Clinic Population.

Neurodegeneration and axonal injury result in an increasing release of neurofilament light chain (NfL) into bodily fluids, including cerebrospinal fluid (CSF) and blood. Numerous studies have shown that NfL levels in CSF and blood are increased in neurodegenerative disorders and monitor neurodegeneration. Saliva is an easily accessible biofluid that could be utilized as a biofluid measurement of Alzheimer’s disease (AD) biomarkers. In this study, for the first time, salivary NfL was measured and compared to plasma NfL in a consecutive cohort of patients referred to cognitive assessments. In two mixed memory clinic cohorts, saliva samples were taken from 152 patients, AD (n = 49), mild cognitive impairment (MCI) (n = 47), non-AD (n = 56), and also 17 healthy controls. In addition, 135 also had a matching plasma sample. All saliva and plasma samples were analyzed for NfL, and the association between saliva and plasma NfL and CSF levels of total tau (t-tau), phosphorylated tau (p-tau), and beta amyloid 1–42 (Aβ42) were investigated. In total, 162/169 had quantifiable levels of salivary NfL by single molecule array (Simoa). No statistically significant differences were found in salivary NfL concentration across the diagnostic groups, but as expected, significant increases were found for plasma NfL in dementia cases (P < 0.0001). There was no association between saliva and plasma NfL levels. Furthermore, saliva NfL did not correlate with CSF Aβ42, p-tau, or tau concentrations. In conclusion, NfL is detectable in saliva but does not reflect neurodegeneration in the brain.

Water exchange rate across the blood-brain barrier is associated with CSF amyloid-β 42 in healthy older adults.

IntroductionWe tested if water exchange across the blood‐brain barrier (BBB), estimated with a noninvasive magnetic resonance imaging (MRI) technique, is associated with cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) and neuropsychological function.MethodsForty cognitively normal older adults (67–86 years old) were scanned with diffusion‐prepared, arterial spin labeling (DP‐ASL), which estimates water exchange rate across the BBB (kw). Participants also underwent CSF draw and neuropsychological testing. Multiple linear regression models were run with kw as a predictor of CSF concentrations and neuropsychological scores.ResultsIn multiple brain regions, BBB kw was positively associated with CSF amyloid beta (Aβ)42 concentration levels. BBB kw was only moderately associated with neuropsychological performance.DiscussionOur results suggest that low water exchange rate across the BBB is associated with low CSF Aβ42 concentration. These findings suggest that kw may be a promising noninvasive indicator of BBB Aβ clearance functions, a possibility which should be further tested in future research.

The association of circulating amylin with β-amyloid in familial Alzheimer's disease.

IntroductionThis study assessed the hypothesis that circulating human amylin (amyloid‐forming) cross‐seeds with amyloid beta (Aβ) in early Alzheimer's disease (AD).MethodsEvidence of amylin‐AD pathology interaction was tested in brains of 31 familial AD mutation carriers and 20 cognitively unaffected individuals, in cerebrospinal fluid (CSF) (98 diseased and 117 control samples) and in genetic databases. For functional testing, we genetically manipulated amylin secretion in APP/PS1 and non‐APP/PS1 rats.ResultsAmylin‐Aβ cross‐seeding was identified in AD brains. High CSF amylin levels were associated with decreased CSF Aβ42 concentrations. AD risk and amylin gene are not correlated. Suppressed amylin secretion protected APP/PS1 rats against AD‐associated effects. In contrast, hypersecretion or intravenous injection of human amylin in APP/PS1 rats exacerbated AD‐like pathology through disruption of CSF‐brain Aβ exchange and amylin‐Aβ cross‐seeding.DiscussionThese findings strengthened the hypothesis of circulating amylin‐AD interaction and suggest that modulation of blood amylin levels may alter Aβ‐related pathology/symptoms.

Impact of APOE‐ε4 on cerebral amyloid deposition in participants with abnormal soluble amyloid levels

AbstractBackgroundAmyloid pathology can be detected using cerebrospinal fluid (CSF) biomarkers and positron emission tomography (PET) imaging, even though they measure two distinct beta‐amyloid (Aβ) pools. While CSF Aβ concentrations reflect the clearance of soluble amyloid species from the brain, PET imaging informs on the presence of insoluble fibrillary plaques in the brain tissue. Many studies have shown the concordance between the two measures in individuals along the Alzheimer’s continuum. Here, we assessed whether APOE‐ε4, the major genetic risk factor for Alzheimer’s disease (AD), affects the pattern of cerebral Aβ load as a function of CSF Aβ levels.MethodThe first consecutive 276 cognitively unimpaired (CDR = 0) individuals of the ALFA+ study, aged between 48 and 74, with valid structural MRI and [18F]flutemetamol (FTM) PET, APOE genotyping and CSF samples were included. Aβ40 and Aβ42 concentrations were determined with the Roche NeuroToolKit (Roche Diagnostics) and parametric standardized uptake value ratio images (SUVr) were calculated with the whole cerebellum as reference region. A voxel‐wise regression was performed to predict FTM uptake, with the following independent variables: age, sex, APOE‐ε4, and CSF Aβ42/40 ratio. Statistical threshold was set to p &lt; 0.001 with a cluster extent correction of 100 voxels.ResultAs expected, CSF Aβ42/40 ratio was negatively associated with cerebral FTM uptake (Figure 1a‐1b). Age and APOE‐ε4 gene dose mapped onto distinct spatial patterns of FTM‐binding across the whole sample (Figure 2b‐2c). Importantly, we found a significant interaction between CSF Aβ42/40 and APOE‐ε4 indicating that carriers had a negative association between fluid and imaging Aβ measures in the bilateral hippocampus, as well as the bilateral middle temporal and temporo‐parietal junction (Figure 3).ConclusionCompared to non‐carriers, APOE‐ε4 carriers showed higher cerebral Ab load for any given level of CSF Aβ42/40 in areas that are not typically vulnerable to Aβ deposition yet undergoing neurodegeneration early in the Alzheimer’s continuum, such as the hippocampus. This suggests that APOE‐ε4 may influence the biological mechanisms regulating the equilibrium between soluble and deposited amyloid, which may transcend the hindering effect caused by Aβ fibrillary plaques and render medial temporal lobe structures particularly vulnerable when Aβ metabolism becomes deficient.

Cognitive Performance and Cerebrospinal Fluid Markers in Preclinical Alzheimer's Disease: Results from the Gothenburg H70 Birth Cohort Studies.

We have previously shown that older adults with preclinical Alzheimer's disease (AD) pathology in cerebrospinal fluid (CSF) had slightly worse performance in Mini-Mental State Examination (MMSE) than participants without preclinical AD pathology. We therefore aimed to compare performance on neurocognitive tests in a population-based sample of 70-year-olds with and without CSF AD pathology. The sample was derived from the population-based Gothenburg H70 Birth Cohort Studies in Sweden. Participants (n = 316, 70 years old) underwent comprehensive cognitive examinations, and CSF Aβ-42, Aβ-40, T-tau, and P-tau concentrations were measured. Participants were classified according to the ATN system, and according to their Clinical Dementia Rating (CDR) score. Cognitive performance was examined in the CSF amyloid, tau, and neurodegeneration (ATN) categories. Among participants with CDR 0 (n = 259), those with amyloid (A+) and/or tau pathology (T+, N+) showed similar performance on most cognitive tests compared to participants with A-T-N-. Participants with A-T-N+ performed worse in memory (Supra span (p = 0.003), object Delayed (p = 0.042) and Immediate recall (p = 0.033)). Among participants with CDR 0.5 (n = 57), those with amyloid pathology (A+) scored worse in category fluency (p = 0.003). Cognitively normal participants with amyloid and/or tau pathology performed similarly to those without any biomarker evidence of preclinical AD in most cognitive domains, with the exception of slightly poorer memory performance in A-T-N+. Our study suggests that preclinical AD biomarkers are altered before cognitive decline.

Plasma Amyloid Beta Concentrations in Aged and Cognitively Impaired Pet Dogs.

Longevity-associated neurological disorders have been observed across human and canine aging populations. Alzheimer's disease (AD) and canine cognitive dysfunction syndrome (CDS) represent comparable diseases affecting both species as they age. Translational diagnostic and therapeutic research is needed for these incurable diseases. The amyloid β (Aβ) peptide family areAD-associated peptides with identical amino acid sequences between dogs and humans. Plasma Aβ42 concentration increases with age and decreases with AD in humans, and cerebrospinal fluid (CSF) concentration decreases in AD and correlates inversely with the amyloid load within the brain. Similarly, CSF Aβ42 concentrations decrease in dogs with CDS but there is limited and conflicting information on plasma Aβ42 concentrations in aging dogs and dogs with CDS. We measured plasma concentrations of Aβ42 and Aβ40 with an ultrasensitive single-molecule array assay (SIMOA) in a population of healthy aging dogs of different life stages (n = 36) and dogs affected with CDS (n = 11). In addition, the ratio of Aβ42/β40 was calculated. The mean plasma concentrations of Aβ42 and Aβ40 increased significantly with age (r2 = 0.27, p = 0.001; and r2 = 0.42, p < 0.001, respectively) and with life stage: puppy/junior group (0.43-2 years): 1.23 ± 0.95 and 38.26 ± 49.43 pg/mL; adult/mature group (2.1-9 years): 10.99 ± 5.45 and 131.05 ± 80.17 pg/mL; geriatric/senior group (9.3-14.5 years): 18.65 ± 16.65 and 192.88 ± 146.38 pg/mL, respectively. Concentrations of Aβ42 and Aβ40 in dogs with CDS (11.0-15.6 years) were significantly lower than age-matched healthy dogs at 11.61 ± 6.39 and 150.23 ± 98.2 pg/mL (p = 0.0048 and p = 0.001), respectively. Our findings suggest the dynamics of canine plasma amyloid concentrations are analogous to that found in aging humans with and without AD.

Staging β-Amyloid Pathology With Amyloid Positron Emission Tomography

Different brain regions appear to be involved during β-amyloid (Aβ) accumulation in Alzheimer disease (AD), but a longitudinally valid system to track Aβ stages in vivo using positron emission tomography (PET) is lacking. To construct a longitudinally valid in vivo staging system for AD using amyloid PET. Longitudinal multicenter cohort study using data accessed on August 20, 2018, from the Alzheimer's Disease Neuroimaging Initiative database of scans performed from June 9, 2010, to July 12, 2018, from 741 persons: 304 without cognitive impairment, 384 with mild cognitive impairment, and 53 with AD dementia. Cerebrospinal fluid (CSF) Aβ42 and fluorine 18-labeled florbetapir (18F-florbetapir) data were used to determine early, intermediate, and late regions of Aβ accumulation. β-Amyloid stages ranging from 0 to 3 were constructed using these composites. Each subsequent stage required involvement of more advanced regions. Patients were followed up at 2, 4, and 6 years. Replication and validation were conducted using an independent cohort (Swedish BioFINDER) and gene expression information from the Allen Human Brain Atlas database. Analyses were conducted August 21, 2018, to May 24, 2019. The main outcome was change in stage. Stages were compared for diagnosis, CSF biomarkers of tau, and longitudinal atrophy, cognitive measures, and regional gene expression. Transitions between stages were tested using longitudinal 18F-florbetapir data. Among 641 participants with CSF Aβ42 data and at least two 18F-florbetapir scans, 335 (52.3%) were male. The early region of Aβ accumulation included the precuneus, posterior cingulate, isthmus cingulate, insula, and medial and lateral orbitofrontal cortices. The late region included the lingual, pericalcarine, paracentral, precentral, and postcentral cortices. The intermediate region included remaining brain regions with increased accumulation rates. In 2072 PET scans from 741 participants, 2039 (98.4%) were unambiguously staged. At baseline, participants with stage 0 (n = 402) had a 14.7% (95% CI, 11.2%-18.1%) probability of progression to a higher stage; stage 1 (n = 21), 71.4% (95% CI, 50.0%-90.9%); and stage 2 (n = 79), 53.1% (95% CI, 42.2%-64.0%). Seven of the 741 participants (0.9%) reverted to a lower stage. Higher stages were associated with lower CSF Aβ42 concentrations (from stage 1 at baseline), greater CSF P-tau (from stage 1) and CSF T-tau (from stage 2), and accelerated cognitive decline (from stage 2) and atrophy (from stage 3), even when adjusting for clinical diagnosis. Key findings were replicated in the BioFINDER cohort (N = 474). The regions of different stages differed by gene expression profiles when using the transcriptome from the Allen Human Brain Atlas, especially involving genes associated with voltage-gated ion channel activity especially involving genes associated with voltage-gated ion channel activity, but also blood circulation, axon guidance, and lipid transportation. Results of this study suggest that this robust staging system of Aβ accumulation may be useful for monitoring patients throughout the course of AD. Progression through stages may depend on underlying selective vulnerability in different brain regions.

Association Between CSF Beta-Amyloid and Apathy in Early-Stage Alzheimer Disease.

The apathetic syndrome is a common clinical feature in patients with Alzheimer diseases (AD), from preclinical phases to late stages of dementia, and it is strongly related to major disease outcomes. Unfortunately, no specific pharmacological treatments for apathy have been accomplished so far. Translational evidences have previously shown that a link between apathy and hallmarks of AD-related pathophysiology, that is, β-amyloid (Aβ) plaques and neurofibrillary tangles, exists. However, only few studies investigated the association between core biomarkers of AD and apathy scores, finding conflicting results. Thirty-seven patients were identified as having AD dementia according to National Institute on Aging-Alzheimer Association 2011 criteria. All participants underwent an extensive diagnostic workup including cerebrospinal fluid (CSF) assessment to measure the concentrations of Aβ42, t-tau, and pTau181. To follow, they were stratified as: apathy absence, apathy mild, and apathy severe according to the Neuro Psychiatric Inventory-apathy item scores. We investigated for potential associations between apathy scores and CSF biomarkers concentrations as well as for differences in terms of clinical and CSF biomarkers data across the 3 apathy groups. The CSF Aβ42 concentrations were negatively correlated with apathy scores. In addition, patients with severe apathy had significantly lower Aβ42 levels compared to nonapathetic ones. Based on our results, we encourage further studies to untangle the potential association between the complex pathophysiological dynamics of AD and apathy which may represent an innovative reliable clinical outcome measure to use in clinical trials, investigating treatments with either a symptomatic or a disease-modifying effect.

In Brief Neuropsychological Assessment, Amnestic Mild Cognitive Impairment (MCI) Is associated with Cerebrospinal Fluid Biomarkers for Cognitive Decline in Contrast to the Prevailing NIA-AA MCI Criterion.

Background: In the care of persons with cognitive problems, it is important to use a valid mild cognitive impairment (MCI) criterion that discriminates well between normal and pathological aging.Objective: To find the brief neuropsychological screening criterion that best correlates with cerebrospinal fluid (CSF) biomarkers for cognitive decline and dementia in persons seeking help for cognitive problems.Methods: 452 consecutively recruited patients (age 40–80 years) from memory-clinics in the Norwegian national multicentre longitudinal study Dementia Disease Initiation were included. CSF data as well as full data from brief neuropsychological screening were available for all patients.Results: Amnestic MCI, including at least one memory test below T-score 40, outperformed the conventional US National Institute on Aging-Alzheimer’s Association (NIA-AA) MCI criterion. Only amnestic MCI was significantly associated with biomarker pattern of NIA-AA stage 2 (low CSF Aβ42 concentrations and elevated tau) in multivariate regression analysis.Conclusions: The finding that amnestic MCI based on brief neuropsychological assessment is significantly associated with CSF biomarkers for cognitive decline and Alzheimer’s disease is in accordance with longitudinal studies that find memory impairment; both in itself and especially in combination with other cognitive deficit to constitute a risk factor for subsequent cognitive decline and dementia. The prevalence of pathological biomarkers for Alzheimer’s disease is common in the elderly and the clinical significance of present findings depend on longitudinal validation.

Automation vs. Experience: Measuring Alzheimer's Beta-Amyloid 1-42 Peptide in the CSF.

Cerebrospinal fluid (CSF) biomarkers can enhance the early and accurate etiologic detection of Alzheimer’s disease (AD) even when symptoms are very mild, but are not yet widely available for clinical testing. There are a number of reasons for this, including the need for an experienced operator, the use of instruments mostly reserved for research, and low cost-effectiveness when patient samples do not completely fill each assay plate. Newer technology can overcome some of these issues through automated assays of a single patient sample on existing clinical laboratory platforms, but it is not known how these newer automated assays compare with previous research-based measurements. This is a critical issue in the clinical translation of CSF AD biomarkers because most cohort and clinicopathologic studies have been analyzed on older assays. To determine the correlation of CSF beta-amyloid 1–42 (Aβ42) measures derived from the automated chemiluminescent enzyme immunoassay (CLEIA, on Lumipulse® G1200), a bead-based Luminex immunoassay, and a plate-based enzyme-linked immunoassay enzyme-linked immunosorbent assay (ELISA), we analyzed 30 CSF samples weekly on each platforms over 3 weeks. We found that, while CSF Aβ42 levels were numerically closer between CLEIA and ELISA measurements, levels differed between all three assays. CLEIA-based measures correlated linearly with the two other assays in the low and intermediate Aβ42 concentrations, while there was a linear correlation between Luminex assay and ELISA throughout all concentrations. For repeatability, the average intra-assay coefficient of variation (CV) was 2.0%. For intermediate precision, the inter-assay CV was lower in CLEIA (7.1%) than Luminex (10.7%, p = 0.009) and ELISA (10.8%, p = 0.009), primarily due to improved intermediate precision in the higher CSF Aβ42 concentrations. We conclude that the automated CLEIA generated reproducible CSF Aβ42 measures with improved intermediate precision over experienced operators using Luminex assays and ELISA, and are highly correlated with the manual Aβ42 measures.

Data driven diagnostic classification in Alzheimer's disease based on different reference regions for normalization of PiB-PET images and correlation with CSF concentrations of Aβ species.

Positron emission tomography (PET) neuroimaging with the Pittsburgh Compound_B (PiB) is widely used to assess amyloid plaque burden. Standard quantification approaches normalize PiB-PET by mean cerebellar gray matter uptake. Previous studies suggested similar pons and white-matter uptake in Alzheimer's disease (AD) and healthy controls (HC), but lack exhaustive comparison of normalization across the three regions, with data-driven diagnostic classification.We aimed to compare the impact of distinct reference regions in normalization, measured by data-driven statistical analysis, and correlation with cerebrospinal fluid (CSF) amyloid β (Aβ) species concentrations.243 individuals with clinical diagnosis of AD, HC, mild cognitive impairment (MCI) and other dementias, from the Biomarkers for Alzheimer's/Parkinson's Disease (BIOMARKAPD) initiative were included. PiB-PET images and CSF concentrations of Aβ38, Aβ40 and Aβ42 were submitted to classification using support vector machines. Voxel-wise group differences and correlations between normalized PiB-PET images and CSF Aβ concentrations were calculated.Normalization by cerebellar gray matter and pons yielded identical classification accuracy of AD (accuracy-96%, sensitivity-96%, specificity-95%), and significantly higher than Aβ concentrations (best accuracy 91%). Normalization by the white-matter showed decreased extent of statistically significant multivoxel patterns and was the only method not outperforming CSF biomarkers, suggesting statistical inferiority. Aβ38 and Aβ40 correlated negatively with PiB-PET images normalized by the white-matter, corroborating previous observations of correlations with non-AD-specific subcortical changes in white-matter. In general, when using the pons as reference region, higher voxel-wise group differences and stronger correlation with Aβ42, the Aβ42/Aβ40 or Aβ42/Aβ38 ratios were found compared to normalization based on cerebellar gray matter.

Association Between Later Life Lifestyle Factors and Alzheimer's Disease Biomarkers in Non-Demented Individuals: A Longitudinal Descriptive Cohort Study.

Lifestyle factors have been associated with the risk of dementia, but the association with Alzheimer's disease (AD) remains unclear. To examine the association between later life lifestyle factors and AD biomarkers (i.e., amyloid-β 1-42 (Aβ42) and tau in cerebrospinal fluid (CSF), and hippocampal volume) in individuals with subjective cognitive decline (SCD) and mild cognitive impairment (MCI). In addition, to examine the effect of later life lifestyle factors on developing AD-type dementia in individuals with MCI. We selected individuals with SCD (n = 111) and MCI (n = 353) from the DESCRIPA and Kuopio Longitudinal MCI studies. CSF Aβ42 and tau concentrations were assessed with ELISA assay and hippocampal volume with multi-atlas segmentation. Lifestyle was assessed by clinical interview at baseline for: social activity, physical activity, cognitive activity, smoking, alcohol consumption, and sleep. We performed logistic and Cox regression analyses adjusted for study site, age, gender, education, and diagnosis. Prediction for AD-type dementia was performed in individuals with MCI only. Later life lifestyle factors were not associated with AD biomarkers or with conversion to AD-type dementia. AD biomarkers were strongly associated with conversion to AD-type dementia, but these relations were not modulated by lifestyle factors. Apolipoprotein E (APOE) genotype did not influence the results. Later life lifestyle factors had no impact on key AD biomarkers in individuals with SCD and MCI or on conversion to AD-type dementia in MCI.

THE RELATIONSHIP BETWEEN CSF AMYLOID BETA CONCENTRATIONS AND FREE AND CUED RECALL PERFORMANCE AMONG PARTICIPANTS WITH AMNESTIC MILD COGNITIVE IMPAIRMENT

Alzheimer's Disease (AD) is a neurodegenerative disease which typically presents with a specific episodic memory impairment. Although accumulation of hypertphosphoryllated tau is held responsible for the neurodegeneration and hence the symptoms of AD, recent research suggests that changes in amyloid-β (Aβ) 1−42 concentrations might also be related to memory performance. We aimed to investigate whether cerebro-spinal fluid (CSF) Aβ42 concentrations are related to free and cued recall performance among a group of patients with amnestic type MCI. The results that will be presented here are part of a still ongoing research project. Currently, we have 18 participants diagnosed with amnestic type MCI. All participants underwent an extended procedure involving neurological examination, multimodal neuroimaging, neuropsychological assessment, and lumbar puncture for CSF biomarkers. Free and Cued Selective Reminding Test was used as the principal measure to assess memory performance. The CSF Aβ42 concentrations of the sample ranged between 299 and 1377 pg/mL. Based on their Aβ concentration, we assigned the sample into two groups: low Aβ group (n=9) and high Aβ group (n=9). The cutoff value was 850 pg/mL. Then, 2 groups were compared with regard to their FCSRT scores. Significant intergroup differences were found with regard to total free recall performance. Specifically, high-amyloid group had significantly higher total free recall scores than low amyloid group (U= 14.00, p<.05). On the other hand, with respect to cue index scores, which an indicator of how each participant is able to benefit from cues, there was not a statistically significant difference between the two groups. Our initial results suggest that reduced CSF Aβ42 concentrations might interfere with free recall performance. The fact that no significant relationship was found with regard to cued recall (which is a specific feature of AD amnesia) might suggest that Aβ42-related amnesia is different from tau-related one, which disconnects entorhinal cortex from the hippocampal formation initially and hence gives rise to typical amnesia (hippocampal-type) that does not improve with cuing. Functional disconnections due to Aβ42 accumulation within a larger network, such as default mode (DMN) is likely to underline such a non-hypocampal-type memory deficit.

LIFETIME PHYSICAL ACTIVITY IS ASSOCIATED WITH CSF AMYLOID IN COGNITIVELY ASYMPTOMATIC APOE ɛ4+ ADULTS

Research has shown that the association between leisure-time physical activity and amyloid deposition in the cerebrospinal fluid (CSF) did not differ between APOE ɛ4+ and ɛ4- adults (Head et al., 2012). However, additional domains of physical activity have not been investigated, nor has a lifetime measure of physical activity been used. The purpose of this study was to determine if a lifetime of occupation, transportation, household and leisure-time physical activity was associated with amyloid deposition in cognitively asymptomatic APOE ɛ4+ adults. Cognitively asymptomatic APOE ɛ4+ (N=18, age 51–72 years, mean = 62.7, SD = 6.6, 67% female) and APOE ɛ4- adults (N=35, age 48–72 years, mean = 62.7, SD = 6.4, 77% female) from the Wisconsin Registry for Alzheimer's Prevention and the Wisconsin Alzheimer's Disease Research Center completed the Lifetime Total Physical Activity Questionnaire during face-to-face interviews which estimated the average metabolic equivalent hours per week per year of occupation, transportation, household, leisure-time and total (all domains combined) physical activity. Participants also underwent lumbar puncture to acquire CSF which was assayed for amyloid (Aβ42), total tau (T-Tau), and phosphorylated tau (P-Tau181) using commercially available ELISA methods (INNOTEST assays, Fujiurebio, Ghent, Belgium). Correlations were performed between the multiple domains of physical activity and CSF biomarkers, controlling for age and sex. A lifetime of more total physical activity was associated with higher CSF Aβ42 concentration (r = .615, p = .011) in cognitively asymptomatic APOE ɛ4+ but not APOE ɛ4- adults (see figure). None of the individual physical activity domains were associated with any of the CSF biomarkers in APOE ɛ4+ or APOE ɛ4- adults.