Diane Slats

The cerebrospinal fluid amyloid beta42/40 ratio in the differentiation of Alzheimer's disease from non-Alzheimer's dementia.

BACKGROUND Amyloid beta(40) (Abeta(40)) is the most abundant Abeta peptide in the brain. The cerebrospinal fluid (CSF) level of Abeta(40) might therefore be considered to most closely reflect the total Abeta load in the brain. Both in Alzheimers disease (AD) and in normal aging the Abeta load in the brain has a large inter-individual variability. Relating Abeta(42) to Abeta(40) levels might consequently provide a more valid measure for reflecting the change in Abeta metabolism in dementia patients than the CSF Abeta(42) concentrations alone. This measure may also improve differential diagnosis between AD and other dementia syndromes, such as vascular dementia (VaD), dementia with Lewy bodies (DLB), and frontotemporal dementia (FTD). OBJECTIVE To investigate the diagnostic value of the CSF Abeta(42)/Abeta(40) ratio in differentiating AD from controls, VaD, DLB and FTD. METHODS We analysed the CSF Abeta(42)/Abeta(40) ratio, phosphorylated tau(181) and total tau in 69 patients with AD, 26 patients with VaD, 16 patients with DLB, 27 patients with FTD, and 47 controls. RESULTS Mean Abeta(40) levels were 2850 pg/ml in VaD and 2830 pg/ml in DLB patients, both significantly lower than in AD patients (3698 pg/ml; p<0.01). Abeta(40) levels in AD patients were not significantly different from those in controls (4035 pg/ml; p=0.384). The Abeta(42)/Abeta(40) ratio was significantly lower in AD patients than in all other groups (p <0.001, ANCOVA). Differentiating AD from VaD, DLB and non-AD dementia improved when the Abeta(42)/Abeta(40) ratio was used instead of Abeta(42) concentrations alone (p<0.01) The Abeta(42)/Abeta(40) ratio performed equally well as the combination of Abeta(42), phosphorylated tau(181) and total tau in differentiating AD from FTD and non-AD dementia. The diagnostic performance of the latter combination was not improved when the Abeta(42)/Abeta(40) ratio was used instead of Abeta(42) alone. CONCLUSION The CSF Abeta42/Abeta40 ratio improves differentiation of AD patients from VaD, DLB and non-AD dementia patients, when compared to Abeta42 alone, and is a more easily interpretable alternative to the combination of Abeta42, p-tau and t-tau when differentiating AD from either FTD or non-AD dementia.

Reciprocal interactions between sleep, circadian rhythms and Alzheimer's disease: focus on the role of hypocretin and melatonin

AD, sleep and circadian rhythm physiology display an intricate relationship. On the one hand, AD pathology leads to sleep and circadian disturbances, with a clear negative influence on quality of life. On the other hand, there is increasing evidence that both sleep and circadian regulating systems exert an influence on AD pathology. In this review we describe the impairments of both sleep regulating systems and circadian rhythms in AD and their link to clinical symptoms, as this may increase knowledge on appropriate diagnosis and adequate treatment of sleep problems in AD. Furthermore we discuss how sleep regulating systems, and especially neurotransmitters such as melatonin and hypocretin, may affect AD pathophysiology, as this may provide a role for lack of sleep and circadian rhythm deterioration in the onset of AD.

Hourly variability of cerebrospinal fluid biomarkers in Alzheimer's disease subjects and healthy older volunteers.

Large hour-to-hour variability has previously been demonstrated in the cerebrospinal fluid (CSF) concentrations of Alzheimers disease (AD) biomarkers amyloid β(42) (Aβ(42)) and Aβ(40) in healthy younger subjects. We investigated the within-subject variability over 36 hours in CSF Aβ and tau proteins, in older subjects and AD patients. Six patients with mild stage AD (59-85 years, Mini Mental State Examination (MMSE) 16-26) and 6 healthy older volunteers (64-77 years) received an intrathecal catheter from which, during 36 hours, each hour 6 mL of CSF was drawn. Concentrations of Aβ(42), Aβ(40), total tau, and phosphorylated tau were determined and the variability was analyzed. Within-subject variability within 3-hour periods was assessed as the coefficient of variation, which was comparable for these 4 biomarkers in controls (4.2%-4.6%) and AD (3.1%-5.8%). Variability over 12 hour periods was 5.3% to 9.5%. These findings suggest that CSF biomarker variability is relatively low in healthy older controls and AD patients. Furthermore, continuous sampling of CSF proved to be a useful and robust method, which may also be used to investigate AD pathogenesis and to evaluate pharmacotherapeutic interventions.

Association between Hypocretin-1 and Amyloid-β42 Cerebrospinal Fluid Levels in Alzheimer’s Disease and Healthy Controls

Alzheimers disease is associated with sleep disorders. Recently, animal studies demonstrated a link between hypocretin, a sleep-regulation neurotransmitter, and AD pathology. In this study, we investigated the circadian rhythm of hypocretin-1 in Alzheimers Disease (AD) patients and controls. Moreover, we assessed the relation between CSF hypocretin-1 and amyloid-β. A continuous CSF sampling study via indwelling intrathecal catheter was performed to collect hourly CSF samples of six patients with AD (59-85 yrs, MMSE 16-26) and six healthy volunteers (64-77 yrs). CSF hypocretin-1 and Aβ42 concentrations were determined at 8 individual time points over 24 hours. A circadian pattern was assessed by fitting a 24 hour sine curve to the hypocretin-1 data using mixed model analysis. Clinical diagnosis and Aβ42 were entered into the model as time invariant covariates to determine differences between AD and controls, and correlate Aβ42 to hypocretin-1 levels. A hypocretin-1 circadian rhythm with an amplitude of 11.5 pg/ml was found in clinical AD patients, which did not differ from the control group (7.15 pg/ml). Lower mean CSF Aβ42 levels were related to lower hypocretin-1 levels; 1.6 pg/ml hypocretin-1 per 10 pg/ml Aβ42 (p=0.03), and a higher amplitude of the hypocretin-1 circadian rhythm (0.4 pg/ml, p=0.03). CSF hypocretin-1 has a circadian rhythm for which we could show no difference between AD and controls. However, the association between mean Aβ42 levels and mean hypocretin-1 levels and amplitude may suggest a relationship between AD pathology and hypocretin disturbance, which could hold possibilities for treatment of AD related sleep disorders.

An integrated multi-study analysis of intra-subject variability in cerebrospinal fluid amyloid-β concentrations collected by lumbar puncture and indwelling lumbar catheter

IntroductionAmyloid-β (Aβ) has been investigated as a diagnostic biomarker and therapeutic drug target. Recent studies found that cerebrospinal fluid (CSF) Aβ fluctuates over time, including as a diurnal pattern, and increases in absolute concentration with serial collection. It is currently unknown what effect differences in CSF collection methodology have on Aβ variability. In this study, we sought to determine the effect of different collection methodologies on the stability of CSF Aβ concentrations over time.MethodsGrouped analysis of CSF Aβ levels from multiple industry and academic groups collected by either lumbar puncture (n=83) or indwelling lumbar catheter (n=178). Participants were either placebo or untreated subjects from clinical drug trials or observational studies. Participants had CSF collected by lumbar puncture or lumbar catheter for quantitation of Aβ concentration by enzyme linked immunosorbent assay. Data from all sponsors was converted to percent of the mean for Aβ40 and Aβ42 for comparison. Repeated measures analysis of variance was performed to assess for factors affecting the linear rise of Aβ concentrations over time.ResultsAnalysis of studies collecting CSF via lumbar catheter revealed tremendous inter-subject variability of Aβ40 and Aβ42 as well as an Aβ diurnal pattern in all of the sponsors’ studies. In contrast, Aβ concentrations from CSF samples collected at two time points by lumbar puncture showed no significant differences. Repeated measures analysis of variance found that only time and draw frequency were significantly associated with the slope of linear rise in Aβ40 and Aβ42 concentrations during the first 6 hours of collection.ConclusionsBased on our findings, we recommend minimizing the frequency of CSF draws in studies measuring Aβ levels and keeping the frequency standardized between experimental groups. The Aβ diurnal pattern was noted in all sponsors’ studies and was not an artifact of study design. Averaging Aβ concentrations at each time point is recommended to minimize the effect of individual variability. Indwelling lumbar catheters are an invaluable research tool for following changes in CSF Aβ over 24-48 hours, but factors affecting Aβ concentration such as linear rise and diurnal variation need to be accounted for in planning study designs.

CSF α-synuclein concentrations do not fluctuate over hours and are not correlated to amyloid β in humans.

Reports on the value of cerebrospinal fluid (CSF) α-synuclein as a biomarker for dementia with Lewy bodies and Parkinson disease are contradicting. This may be explained by fluctuating CSF α-synuclein concentrations over time. Such fluctuations have been suggested for CSF amyloid β concentrations. Furthermore, a physiological relationship between α-synuclein and amyloid β has been suggested based on in vitro research. We performed repeated CSF sampling in healthy elderly and AD patients and showed that sinusoidal fluctuations in CSF α-synuclein concentrations were not present. Furthermore, we did not find evidence for an interaction between amyloid β and α-synuclein concentrations in CSF.

Experiences with cerebrospinal fluid analysis in Dutch memory clinics

Background:  Evidence on cerebrospinal fluid (CSF) analysis to demonstrate Alzheimer’s disease has not yet been implemented in diagnostic guidelines.

An assessment of variability in CSF biomarkers in clinical experimental models: a meta-analysis

all biomarkers considered for this review. Six percent of studies included more than 500 patients. It was unclear whether scan/test interpretation was conducted blind to knowledge of conversion to dementia in 62% of reports. Similarly, it was unclear whether decisions about conversion to dementia were made without knowledge of scan/test results in 63% of reports. Uninterpretable or intermediate test results were either not reported, or reported unclearly in 79% of cases. It was rarely possible to make an assessment, on the basis of the report, that the spectrum of patients in the cohort was representative of the patients whowould receive the test in practice. 21 studies of CSF or plasma Abeta reported conversion in 1128 patients. 26 studies of CSF tau reported conversion in 1054 patients. 22 structural MRI studies reported conversion in 1343 patients. 11 studies of FDG-PET reported conversion in 270 patients. 5 studies of PET based amyloid imaging reported conversion in 27 patients.Conclusions: The quality of reporting of longitudinal studies of biomarkers raises the possibility that substantial biases may be present. Multiple publication is commonplace in studies of diagnostic accuracy in dementia. Whilst this reflects developing techniques and continuing monitoring of subjects for outcomes, greater transparency is required so as to allow easier compilation of these data. A more formal process with cohort registration, reporting of ’intention to diagnose’ data, and clear independence of clinical and test evaluations is required. PET-based tests have the smallest evidence base. The small sample size of most studies limits their overall generalizeabilty. Funders, including those seeking licences for new products, should support large-scale, representative evaluations in that part of the population who would be most likely to utilize the test. Critical evaluation of the evidence base for diagnostic biomarkers is of major importance to the field of dementia. Without it, there is a risk that future clinical care and research will be built on assumptions about diagnostic validity that are wrong.

Hourly analysis of cerebrospinal fluid glucose shows large diurnal fluctuations

Cerebrospinal fluid analysis is important in the diagnostics of many neurological disorders. Since the influence of food intake on the cerebrospinal fluid glucose concentration and the cerebrospinal fluid/plasma glucose ratio is largely unknown, we studied fluctuations in these parameters in healthy adult volunteers during a period of 36 h. Our observations show large physiological fluctuations of cerebrospinal fluid glucose and the cerebrospinal fluid/plasma glucose ratio, and their relation to food intake. These findings provide novel insights into the physiology of cerebral processes dependent on glucose levels such as energy formation (e.g. glycolysis), enzymatic reactions (e.g. glycosylation), and non-enzymatic reactions (e.g. advanced endproduct glycation).

Cerebrospinal Fluid Biomarkers in Diagnosing Alzheimer's Disease in Clinical Practice: An Illustration with 3 Case Reports.

Analysis of the brain specific biomarkers amyloid β42 (Aβ42) and total tau (t-tau) protein in cerebrospinal fluid (CSF) has a sensitivity and specificity of more than 85% for differentiating Alzheimer’s Disease (AD) from non-demented controls. International guidelines are contradictory in their advice on the use of CSF biomarkers in AD diagnostics, resulting in a lack of consistency in clinical practice. We present three case reports that illustrate clinical practice according to the Dutch and European guidelines and portray the value of CSF biomarker analysis as an add-on diagnostic to the standard diagnostic workup for AD.