Literature DB >> 29780875

Amyloid β peptides are differentially vulnerable to preanalytical surface exposure, an effect incompletely mitigated by the use of ratios.

Jamie Toombs1, Martha S Foiani1, Henrietta Wellington1, Ross W Paterson2, Charles Arber1, Amanda Heslegrave1, Michael P Lunn3, Jonathan M Schott1, Selina Wray2, Henrik Zetterberg4,5,6,7.   

Abstract

INTRODUCTION: We tested the hypothesis that the amyloid β (Aβ) peptide ratios are more stable than Aβ42 alone when biofluids are exposed to two preanalytical conditions known to modify measurable Aβ concentration.
METHODS: Human cerebrospinal fluid (CSF) and culture media (CM) from human cortical neurons were exposed to a series of volumes and polypropylene surfaces. Aβ42, Aβ40, and Aβ38 peptide concentrations were measured using a multiplexed electrochemiluminescence immunoassay. Data were analyzed using mixed models in R.
RESULTS: Decrease of measurable Aβ peptide concentrations was exaggerated in longer peptides, affecting the Aβ42:Aβ40 and Aβ42:Aβ38 ratios. However, the effect size of surface treatment was reduced in Aβ peptide ratios versus Aβ42 alone. For Aβ42:Aβ40, the effect was reduced by approximately 50% (volume) and 75% (transfer) as compared to Aβ42 alone. DISCUSSION: Use of Aβ ratios, in conjunction with concentrations, may mitigate confounding factors and assist the clinical diagnostic process for Alzheimer's disease.

Entities:  

Keywords:  Alzheimer's disease; Amyloid β ratio; Cell culture media; Cerebrospinal fluid; Preanalytical factors; Surface adsorption

Year:  2018        PMID: 29780875      PMCID: PMC5956932          DOI: 10.1016/j.dadm.2018.02.005

Source DB:  PubMed          Journal:  Alzheimers Dement (Amst)        ISSN: 2352-8729


Background

The cerebrospinal fluid (CSF) concentrations of the 42 amino acid form of amyloid β (Aβ42), total tau protein (T-tau), and phosphorylated tau (P-tau) are core biomarkers of Alzheimer's disease (AD) [1] and are incorporated in the clinical diagnostic process [2]. Largely constituting the neuropathological hallmarks of AD [3], these proteins are also integral to the validation and study of AD models in a research context. While tau is soluble and concentrations remain relatively stable over a range of conditions [4], [5], [6], Aβ42 is well known to be highly labile and prone to aggregate, a property that underpins a range of dynamic structures and their contribution to the disease process [7]. These properties make Aβ42 concentrations susceptible to variation in the preanalytical process. Factors potentially include CSF collection technique [8], diurnal collection time [9], interval between collection and freezing [10], [11], temperature [12], pH [13], sample matrix composition [14], [15], sample exposure to storage surfaces [6], [16], [17], [18], [19], [20], [21], [22], and assay measurement variation [23], [24], [25], [26], [27]. Several articles have presented studies providing data from assessments of multiple factors [5], [28], [29], [30], [31], [32]. Further to preanalytical factors, concentrations of CSF Aβ also vary between individuals [33]; thus, individuals with constitutively high or low quantities of Aβ42 relative to chosen diagnostic “cut points” may be vulnerable to misinterpretation of test results. Recent meta-analysis shows that when comparing AD versus nondemented controls and non-AD dementias, CSF Aβ42 has a pooled sensitivity of 0.80 (95% confidence interval = 0.78–0.82) and a pooled specificity of 0.76 (95% confidence interval = 0.74–0.78) [34]. Increasingly, reports suggest improved diagnostic and mild cognitive impairment–AD conversion predictive power when Aβ42 is considered in ratio to Aβ40 [1], [15], [16], [31], [35], [36]. Aβ40 has been shown to be the most abundant Aβ peptide in the adult human brain [37] and does not generally have strong aggregative tendencies under physiological conditions or in vitro. Owing to this, CSF Aβ40 has been proposed as a proxy for total Aβ production [33], [38]. Another relatively abundant peptide, Aβ38, has also demonstrated utility in ratio with Aβ42 [35]. This is welcome news as, although biomarkers have facilitated earlier and more accurate diagnosis, improved patient group enrichment in current clinical trial design (i.e. more accurate, earlier disease phase biomarkers) is urgently required [39]. The aim of the present study was to extend previous work on the effect of surface exposure on Aβ peptide concentration by assessing the impact on ratios of Aβ42:Aβ40, Aβ42:Aβ38, and Aβ40:Aβ38. Aβ40:Aβ38 is not immediately relevant to the clinic, but better understanding of the relationship between production and interaction of different Aβ fragments may prove useful to future understanding of AD pathobiology. In addition to CSF, we also examined cell culture media (CM) from human glutamatergic cortical neurons derived from induced pluripotent stem cells (iPSCs). Neurons differentiated from the iPSCs of AD and non-AD donors can act as disease-relevant models with a fully human genetic background. Aβ secreted from these cells into the CM represents a key biomarker for AD-relevant neurobiology. In this context, ratios of Aβ are increasingly used to understand nuances of amyloidogenic pathways [40], and it is important to expand knowledge of preanalytical factors affecting Aβ measurement in this medium.

Methods

Preparation of CSF

This study used de-identified CSF from patients of unknown disease status. Ethical approval was received from the regional ethics board at the University of Gothenburg for the CSF pools used in this study. Samples were collected by lumbar puncture. All lumbar punctures were conducted before 13:00, between L3/L4 and L4/L5 in a sitting or side-laying position. Ten milliliters of CSF was collected at ambient room temperature into a 10-mL PP tube (Sarstedt, Nümbrecht, Germany; cat. 62.9924.284). In the case of visible blood contamination, the CSF was discarded and tap continued in a new tube once bleeding had stopped. Samples selected for inclusion had no erythrocyte contamination visible to the eye. Samples were centrifuged at 2200 relative centrifugal force for 10 minutes at 20°C, transferred to another 10-mL tube (Sarstedt; cat. 62.9924.284), and stored at −80°C. CSF samples were then thawed at 21°C for 1 hour to pool CSF to sufficient volume for experiment in Sarstedt 2-mL PP tubes (cat. 72.694.406), refrozen at −80°C, and thawed (21°C for 1 hour) for assay. CSF was transported on dry ice by international courier and received, frozen, within 24 hours of sending, and immediately stored at −80°C on reception.

Preparation of cell CM

The N2B27 cell CM used in this study was composed of a 1:1 solution of DMEM/F12 + GlutaMax-l (1×) (Life Technologies; cat. 10565018) and Neurobasal Medium (1×) (Life Technologies; cat. 12348017) with the following supplements: 1× N2 supplement (Life Technologies; cat. 17502-048), 1× B27 supplement (Life Technologies; cat. 17504-044), 100-μM MEM nonessential amino acids (Life Technologies; cat. 11140-050), 100-μM 2-mercaptoethanol (Life Technologies; cat. 31350-010), 50-U/mL penicillin and 50-μg/mL streptomycin (Life Technologies; cat. 15070063), 5-μg/mL insulin (Sigma-Aldrich; cat. I9278), and 1-mM glutamine (Life Technologies; cat. no. 25030-024). Fresh N2B27 was made every 7 days and stored at 4°C.

Neuronal culture

Glutamatergic cortical neurons were generated from human iPSCs following a protocol previously described [41], [42], [43]. Briefly, iPSCs (cultured on Geltrex and fed with Essential 8) were induced toward a neuronal fate by treatment with N2B27 media supplemented with SMAD (a family of human protein homologues of the drosophila ‘mothers against decapentaplegic’ [Mad] and the proteins encoded by the C. elegens gene ‘small body size’ [Sma]) inhibitors, SB431542 (10 μM) and Dorsomorphin (1 μM), for 12 days. Neuronal precursor colonies were expanded on laminin-coated plates and maintained in N2B27 media until cultures of mature cortical neurons were generated, at least 80 days after induction. Five different cell lines were used in this study: CTRL and ND were fibroblast-derived iPSC lines from nondegenerative controls, generated using retroviral transduction (obtained from the laboratory of Dr Tilo Kunath). SHEF6 was a human embryonic stem cell line obtained from the UK Stem Cell Bank. APP (derived from an amyloid precursor protein V717I mutation patient) and PSEN (derived from a presenilin-1 T113-114ins intron 4 deletion mutation patient) were fibroblast-derived iPSC lines generated using retroviral transduction, obtained from StemBANCC. Cell CM were collected after 4-day incubation in VWR 15-mL PP tubes (cat: 21008-216), pooled and centrifuged at 2000 relative centrifugal force for 5 minutes at 21°C. Supernatant was aliquoted in Sarstedt 2-mL PP tubes (cat. 72.694.406), stored at −80°C, and thawed at 21°C immediately before assay.

Volume experiments

To investigate the effect of storage volume on the ratios of Aβ peptides, each CSF (n = 8) and CM (n = 6) sample was thawed and aliquoted into Sarstedt 2-mL PP tubes (cat. 72.694.406) in a volume series: 1000, 500, 250, 125, and 100 μL. Aliquots were refrozen at −80°C and later thawed at 21°C for 1 hour and assayed for Aβx-38/x-40/x-42 using a Meso Scale Discovery V-PLEX Aβ peptide kit (6E10). Assays were performed on a Meso Scale Discovery SECTOR 6000, according to manufacturer protocol, which is freely available. To examine the contribution of the pipette to any effect, a separate group of samples (CSF n = 2 and CM n = 2) were aliquoted into four different volumes (100, 250, 500, and 1000 μL) and, immediately before sample dilution during assay, each volume for each sample was mixed with a varying number of pumps (0, 5, 10, and 20) with a pipette tip (TipOne; Starlab, Milton Keynes; cat. S1113-1700). Tips used for samples given the 0 pump treatment were therefore not prewetted. All samples were added to the assay plate in duplicate by multichannel in randomized, double-blind order. All samples and reagents of volume <5 mL were mixed by vortex (Vortex-Genie 2; Scientific Industries) at speed setting 10 for 5 seconds, and all samples and reagents of volume >5 mL were mixed on a roller for 5 minutes. Pipette tips (TipOne; Starlab, Milton Keynes; cat. S1112-1720, cat. S1113-1700, and cat. S1110-3700) were prewetted with three pumps when aspirating all solutions unless otherwise stated. The same pipette tip was used to create the volume series of each sample.

Serial transfer experiments

Each CSF (n = 9) and CM (n = 5) sample was thawed, aliquoted into Sarstedt 2-mL PP tubes at a volume of 1000 μL, refrozen at −80°C, and later thawed for assay. The sample was mixed by vortex and transferred from the storage aliquot (tube 0) to seven consecutive Sarstedt 2-mL PP tubes (tubes 1–7), leaving 100 μL of sample in each tube. This process took approximately 10 minutes to complete. Samples were then assayed immediately for Aβx-38/x-40/x-42 as described for the volume experiment. All samples were added to the assay plate in duplicate by multichannel in randomized, double-blind order. Mixing practice and pipette tips used were as described in section 2.4. The same pipette tip was used to create the transfer series of each sample. Data from two CSF samples previously reported (S12 and S13 in this study, previously AD and CT [36]) were included in the analyzed data set. These samples were prepared according to the same protocol just described and were included to bolster the power of the data set.

Statistical analysis

The relationship between analyte measurement and sample treatment (volume or transfer step) was assessed by mixed model analysis. Data normality was assessed by histogram, qq-plot, and Shapiro-Wilk test, and linearity was assessed by a scatterplot of the residual variance. All analyses set α at 0.05 and confidence intervals at 95%. The formula used for the mixed model was lme(sample concentration ∼ treatment + X, random = ∼1|sample) + ε, where the dependent variable is “sample concentration”—the average of duplicate concentration (or ratio) values of a given Aβ peptide in pg/mL (numeric data), the fixed effect variable is “treatment”—the volume or transfer series as relevant (numeric data), X represents other fixed effects (such as disease status, cell type, assay plate, and sample pooling status) where these variables were relevant, and the random effect variable is “sample”—variation unaccounted for differences samples (factor data). “∼1|” specifies an independent intercept for each sample. ε represents residual variation not accounted for by the stated parameters of the model. While data from the volume study met the mixed model's assumption of linearity, the data from the transfer study did not. To meet this requirement, a separate analysis was conducted wherein average concentration was transformed by the natural logarithm (ln) and used as the dependent variable. To calculate the proportional change per treatment unit, “e” was exponentiated to the power of the model's output coefficient. Graphs were composed using the ggplot2 package in R. Intra- and inter-assay percentage coefficients of variance were calculated according to ISO 5725-2 standards [44].

Results

Assay variation

Intra- and inter-assay variations were calculated from the concentrations of an internal control CSF sample included in assay plates in both volume and transfer studies. Levels of variation (intra- and inter-assay percentage coefficients of variance, respectively) for Aβ42 (4.3% and 9.9%), Aβ40 (4.5% and 9.5%), and Aβ38 (1.6% and 5.3%) were within what is generally considered acceptable range for research assays (<20%).

Effect of storage volume on Aβ peptide ratio

Detectable Aβ42/Aβ40/Aβ38 concentration was observed to be significantly lower (all P < .001) in samples of smaller storage volumes in both CSF and CM (Figs. 1 and 2). Results from these data predict a concentration change of Aβ42: 1.1 pg/mL (0.6%), Aβ40: 9.2 pg/mL (0.3%), and Aβ38: 3.1 pg/mL (0.2%), for every 10-μL change in CSF storage volume, and a concentration change of Aβ42: 0.5 pg/mL (0.3%), Aβ40: 2.5 pg/mL (0.2%), and Aβ38: 0.4 pg/mL (0.1%), for every 10 μL change in CM storage volume (Table 1). Results for CSF Aβ42 are highly consistent with those previously reported for control CSF (a change of 0.95 pg/mL per 10 μL) [6].
Fig. 1

Effect of storage volume on CSF Aβ. Results in CSF show the concentration of Aβ42, Aβ40, and Aβ38 decreased with decreased storage volume (A, C, E). Concentration of Aβ42 decreased proportionally more than Aβ40 (B) and Aβ38 (D) with lower storage volume, resulting in a decrease in the Aβ42:Aβ40 and Aβ42:Aβ38 ratios. (F) Aβ40 showed a nonsignificant tendency to decrease more than Aβ38, (P = .05). Data for sample S8 at 125 μL were excluded due to insufficient volume in the assay well; the line interpolates through this point. Error bars represent standard error of the mean. Abbreviations: CSF, cerebrospinal fluid; Aβ, amyloid β.

Fig. 2

Effect of storage volume on cell media Aβ. Results in CM show the concentration of Aβ42, Aβ40, and Aβ38 decreased with decreased storage volume (A, C, E). Concentration of Aβ42 decreased proportionally more than Aβ40 (B) and Aβ38 (D) with lower storage volume, resulting in a decrease in the Aβ42:Aβ40 and Aβ42:Aβ38 ratios. (F) Aβ40 showed a tendency to decrease more than Aβ38, although this was only weakly significant (P = .03). Abbreviations: CM, culture media; Aβ, amyloid β.

Table 1

Summary of results

TypePeptideStudy% Change per unitP (α = 0.05)95% confidence interval
CSF38Vol0.245<.0010.1680.322
CSF40Vol0.318<.0010.2020.435
CSF42Vol0.555<.0010.4030.707
CSF42:Aβ40Vol0.237<.0010.1600.313
CSF42:Aβ38Vol0.310<.0010.2050.415
CSF40:Aβ38Vol0.073.054−0.0010.148
CSF38Tra15.756<.00114.81816.695
CSF40Tra17.497<.00116.73418.260
CSF42Tra22.359<.00121.17723.541
CSF42:Aβ40Tra4.862<.0013.9905.734
CSF42:Aβ38Tra6.603<.0015.4097.796
CSF40:Aβ38Tra1.741<.0011.1112.372
CM38Vol0.105<.0010.0530.156
CM40Vol0.162<.0010.1060.217
CM42Vol0.331<.0010.2350.427
CM42:Aβ40Vol0.169<.0010.1040.234
CM42:Aβ38Vol0.226<.0010.1600.293
CM40:Aβ38Vol0.057.0280.0070.108
CM38Tra2.411<.0011.6763.205
CM40Tra4.789<.0014.1035.711
CM42Tra7.786<.0016.9939.219
CM42:Aβ40Tra3.148<.0012.3154.082
CM42:Aβ38Tra5.508<.0014.5326.799
CM40:Aβ38Tra2.436<.0011.5993.334

Abbreviations: CM, culture media; Aβ, amyloid β; CSF, cerebrospinal fluid.

NOTE. Volume unit is 10 μL, and transfer is 1 transfer. The table is divided into data generated for CSF and CM for storage volume (Vol) and serial transfer (Tra) treatments, respectively. Data are given for Aβ42, Aβ40, Aβ38, and the ratio of these peptides transformed by natural logarithm (ln). Values given in “% Change per unit” are exponentiated coefficients of the mixed model as percent of Aβ concentration (pg/mL) or ratio change per unit of treatment. For the volume treatment, the unit of change is 1 μL, that is, the amount of Aβ lost per 1 μL of decreased storage volume. For serial transfer treatment, the unit of change is one transfer, that is, the amount of Aβ lost per transfer of sample to another tube.

Effect of storage volume on CSF Aβ. Results in CSF show the concentration of Aβ42, Aβ40, and Aβ38 decreased with decreased storage volume (A, C, E). Concentration of Aβ42 decreased proportionally more than Aβ40 (B) and Aβ38 (D) with lower storage volume, resulting in a decrease in the Aβ42:Aβ40 and Aβ42:Aβ38 ratios. (F) Aβ40 showed a nonsignificant tendency to decrease more than Aβ38, (P = .05). Data for sample S8 at 125 μL were excluded due to insufficient volume in the assay well; the line interpolates through this point. Error bars represent standard error of the mean. Abbreviations: CSF, cerebrospinal fluid; Aβ, amyloid β. Effect of storage volume on cell media Aβ. Results in CM show the concentration of Aβ42, Aβ40, and Aβ38 decreased with decreased storage volume (A, C, E). Concentration of Aβ42 decreased proportionally more than Aβ40 (B) and Aβ38 (D) with lower storage volume, resulting in a decrease in the Aβ42:Aβ40 and Aβ42:Aβ38 ratios. (F) Aβ40 showed a tendency to decrease more than Aβ38, although this was only weakly significant (P = .03). Abbreviations: CM, culture media; Aβ, amyloid β. Summary of results Abbreviations: CM, culture media; Aβ, amyloid β; CSF, cerebrospinal fluid. NOTE. Volume unit is 10 μL, and transfer is 1 transfer. The table is divided into data generated for CSF and CM for storage volume (Vol) and serial transfer (Tra) treatments, respectively. Data are given for Aβ42, Aβ40, Aβ38, and the ratio of these peptides transformed by natural logarithm (ln). Values given in “% Change per unit” are exponentiated coefficients of the mixed model as percent of Aβ concentration (pg/mL) or ratio change per unit of treatment. For the volume treatment, the unit of change is 1 μL, that is, the amount of Aβ lost per 1 μL of decreased storage volume. For serial transfer treatment, the unit of change is one transfer, that is, the amount of Aβ lost per transfer of sample to another tube. Concordantly, ratios of Aβ42:Aβ40 and Aβ42:Aβ38 changed significantly with storage volume. In CSF Aβ42:Aβ40, change was 0.2% of an initial ratio value per 10 μL (P < .001), and in CSF Aβ42:Aβ38, change was 0.3% per 10 μL (P < .001) (Table 1). In CM, change in the Aβ42:Aβ40 and Aβ42:Aβ38 ratios were 0.1% and 0.2% of the ratio per 10 μL (P < .001), respectively (Table 1). The magnitude of change per unit volume was reduced in both CSF and CM ratios versus Aβ42 alone. The ratio of Aβ40:Aβ38 showed a trend toward decreased Aβ40, which bordered on significance in CSF (P = .054) and CM (P = .028) (Table 1).

Effect of serial tube transfer on Aβ peptide ratio

Detectable Aβ42/Aβ40/Aβ38 concentration was observed to decrease significantly (all P < .001) over the transfer series in both CSF and CM (Figs. 3 and 4). Results from untransformed CSF data were highly consistent with observations made of control CSF in a previous study [16]. However, these data violated the model's assumption of linearity. Concentration loss in CSF between transfer 0 and transfer 1 was particularly pronounced for Aβ42, an effect not observed in CM. The mean difference in Aβ42 between transfer 0 and transfer 1 was 95.8 pg/mL (paired, two-tailed t-test P < .001), whereas the mean difference between transfer 1 and the final concentration at transfer 7 was 149.7 pg/mL (paired, two-tailed t-test P < .001). This highlights that, in CSF, the first transfer accounted for 39% of the total Aβ42 lost (as compared to Aβ38 = 8.8% and Aβ40 = 24.1%). The decrease in all Aβ peptides remained significant between transfers 1 and 7 after transfer 0 was removed. This effect was not observed in CM samples.
Fig. 3

Effect of serial tube transfer on CSF Aβ. Results in CSF show the concentration of Aβ42, Aβ40, and Aβ38 decreased with consecutive transfer of sample to new storage tubes (A, C, E). Concentration of Aβ42 decreased proportionally more than Aβ40 (B) and Aβ38 (D) with each transfer, resulting in a decrease in the Aβ42:Aβ40 and Aβ42:Aβ38 ratios. (F) In turn, the rate of Aβ40 decrease with each transfer was greater than Aβ38. Error bars represent standard error of the mean. Abbreviations: Aβ, amyloid β; CSF, cerebrospinal fluid.

Fig. 4

Effect of serial tube transfer on cell media Aβ. Results in CM show the concentration of Aβ42, Aβ40, and Aβ38 decreased with consecutive transfer of sample to new storage tubes (A, C, E). Concentration of Aβ42 decreased proportionally more than Aβ40 (B) and Aβ38 (D) with each transfer, resulting in a decrease in the Aβ42:Aβ40 and Aβ42:Aβ38 ratios. (F) In turn, the rate of Aβ40 decrease with each transfer was greater than Aβ38. Abbreviations: CM, culture media; Aβ, amyloid β.

Effect of serial tube transfer on CSF Aβ. Results in CSF show the concentration of Aβ42, Aβ40, and Aβ38 decreased with consecutive transfer of sample to new storage tubes (A, C, E). Concentration of Aβ42 decreased proportionally more than Aβ40 (B) and Aβ38 (D) with each transfer, resulting in a decrease in the Aβ42:Aβ40 and Aβ42:Aβ38 ratios. (F) In turn, the rate of Aβ40 decrease with each transfer was greater than Aβ38. Error bars represent standard error of the mean. Abbreviations: Aβ, amyloid β; CSF, cerebrospinal fluid. Effect of serial tube transfer on cell media Aβ. Results in CM show the concentration of Aβ42, Aβ40, and Aβ38 decreased with consecutive transfer of sample to new storage tubes (A, C, E). Concentration of Aβ42 decreased proportionally more than Aβ40 (B) and Aβ38 (D) with each transfer, resulting in a decrease in the Aβ42:Aβ40 and Aβ42:Aβ38 ratios. (F) In turn, the rate of Aβ40 decrease with each transfer was greater than Aβ38. Abbreviations: CM, culture media; Aβ, amyloid β. To test whether exaggerated Aβ42 loss at first transfer may have been due to adsorption to the pipette tip, we conducted a pilot experiment to measure Aβ42 peptide concentration change in response to a varying number of aspirations using the same tip. The number of fluid pumps had no effect on Aβ42 peptide concentration in either CSF or CM, indeed paired, two-tailed t-test showed no significant difference between 0 pumps and 5 pumps, although it was observed that measurement variability was greater in the 0 pump group (Fig. 5). The initial exaggerated decrease in Aβ42 cannot therefore be attributed to adsorption to the pipette tip.
Fig. 5

CSF (SX and SY) and CM (CTRL and ND) Aβ42: Effect of mixing by pipette across different storage volumes. Results show the concentration of Aβ42 were not significantly affected by different levels of exposure to the pipette tip over a series of different volumes in either CSF or CM. Greater variability between measurements was observed in CSF measurements than those of CM. Error bars represent standard error of the mean. Abbreviations: CM, culture media; Aβ, amyloid β; CSF, cerebrospinal fluid.

CSF (SX and SY) and CM (CTRL and ND) Aβ42: Effect of mixing by pipette across different storage volumes. Results show the concentration of Aβ42 were not significantly affected by different levels of exposure to the pipette tip over a series of different volumes in either CSF or CM. Greater variability between measurements was observed in CSF measurements than those of CM. Error bars represent standard error of the mean. Abbreviations: CM, culture media; Aβ, amyloid β; CSF, cerebrospinal fluid. To account for nonlinearity, data were transformed by ln and reanalyzed. After ln transformation, Aβ42 decrease over serial tube transfers remained exaggerated in relation to Aβ40 and Aβ38 in both CSF and CM (Table 1). In CSF, the Aβ42:Aβ40 ratio decreased by 4.9% per transfer, and the Aβ42:Aβ38 decreased by 6.6% per transfer (Table 1). In CM, these were 3.1% and 5.5%, respectively. The decrease per transfer of Aβ40:Aβ38 was 1.7% in CSF and 2.4% in CM; in both fluids, the decrease of Aβ40 relative to Aβ38 was significant (P < .001).

Discussion

In this study, we explored the effect of storage volume and serial between-tube transfer on the concentration of Aβ42/Aβ40/Aβ38 in human CSF and the CM of human cortical neurons derived from iPSCs. We report a novel finding: First, Aβ peptides are differentially affected by changes in sample surface exposure and raise the implication that subpopulations of Aβ peptide structures may be differentially vulnerable to surface exposure. Second, we show that ratios are less sensitive to surface exposure than peptides considered alone, although the effect is still significant.

Aβ peptides are differentially vulnerable to surface exposure

CSF and CM Aβ42/Aβ40/Aβ38 concentrations decreased as a result of two different PP surface exposure treatments (storage volume and serial tube transfer), closely replicating observations we previously reported in CSF [6], [16]. Results are consistent with irreversible peptide adsorption to the tube surface, although the experiments did not test for this mechanism directly. Importantly, this decrease did not occur at the same rate for each peptide. Ratios of Aβ42:Aβ40 and Aβ42:Aβ38 demonstrated that decrease in Aβ42 concentration per treatment unit was consistently greater than that observed in Aβ40 and Aβ38, in both CSF and CM. In addition, Aβ40:Aβ38 ratios indicated that Aβ40 may demonstrate a tendency toward greater concentration loss per treatment than Aβ38. To our knowledge experiments such as these have not previously been published on CM. However, a body of work has been growing on the impact of preanalytical surface adsorption in CSF. Vanderstichele et al. [32] observed significant decreases in Aβ1–42 (−13.6%), Aβ1–40 (−15.5%), and Aβ1–38 (−10.6%) between CSF stored at 1500 μL (Sarstedt; cat. 72.706) and 500 μL (Sarstedt; cat. 72.730.006) in PP tubes, but not in Eppendorf LoBind tubes. They found that the Aβ42:Aβ40 ratio was not significantly altered by the difference in volume, whereas Aβ42:Aβ38 was altered by 3.4%. This is in contrast to our model that predicts larger, significant, changes in Aβ42:Aβ40 (23.7%) and Aβ42:Aβ38 (30.9%). It is worth noting that the volume effect is closely related to tube dimension [6], [21], and our results represent the difference between 1000 and 100 μL rather than 1500 and 500 μL, which have different relative surface area exposure to the conical portion of the tube. In addition, the tubes used by Vanderstichele et al. for each volume were not the same, and neither matched the tube we tested (Sarstedt; cat. 72.694.007), which may reduce the direct comparability of results. With regard to the preanalytical effects of tube transfer, the observations between this group and our own align more closely. Vanderstichele et al. [32] observed significantly lower concentrations of Aβ42 (11.0%), Aβ40 (7.3%), and Aβ38 (2.7%) in CSF collected into PP tubes. In addition, they report a concentration decrease of Aβ42 (42.5%), Aβ40 (27.8%), and Aβ38 (16.7%) after one transfer between PP tubes (Sarstedt; cat 62.554.502 and either 72.706 or 72.730.006). In comparison, at the first transfer, our results showed a similar decrease of Aβ42 (39.0%) and Aβ40 (24.1%), but smaller decrease of Aβ38 (8.8%). Willemse et al. [21] reported a 5% decrease (up to 10% in small volume samples) in Aβ42 and Aβ40 per transfer over four transfers between tubes and that Aβ42:Aβ40 therefore remained constant over transfer treatment. An effect size of 5%–10% is at odds with the Aβ42 (22.3%) and Aβ40 (17.5%) decrease per transfer that we observed over equivalent transfers. The tubes used by Willemse et al. (Sarstedt; cat. 72.694.007) are identical to the tubes we studied (Sarstedt; cat. 72.694.406), except that cat. 72.694.406 is certified DNA and RNase free. It is not clear why our data should be divergent, other factors are seemingly involved, and a degree of interlaboratory variation should be taken into consideration until these factors are identified. Repeated aspirations and ejections from the same tip did not significantly alter Aβ concentration in either CSF or CM. Indeed even when the tip was not prewetted, no effect was seen, contrary to what others have described [21]. Therefore, this cannot account for the initial exaggerated decrease we observed at the first transfer step. Given this, we hypothesize the existence of a subpopulation of Aβ42 that is more readily adsorbed to PP and rapidly depleted from solution. This interpretation would fit the work of Vanderstichele et al. [32], but not Willemse et al. [21]. A similar, adsorption-attributed, initial effect on fluorescein-labeled bovine serum albumin (BSA), also found in the B27 fraction of the CM used in our study, has been reported [45]. It is possible that competition for surface binding sites by this and other proteins of the CM matrix might explain why the first transfer step effect was not observed in these samples, although we did not examine fluid protein content as a variable. Although still not well understood, Aβ monomers, oligomers, and fibrils adopt a range of conformations in solution, and indeed current models highlight the importance of C-terminal sequence for multimeric stability and predict the presence of a laterally exposed hydrophobic “patch” unique to certain Aβ42 fibrils [46], [47]. These properties may contribute to differences observed in Aβ42 versus Aβ40 nucleation rate constants [48], [49] and the range of adsorption dynamics at different polymer surfaces [50], [51]. Our results, which are preliminary, highlight the risk that potentially disease-relevant peptide subpopulations may be differentially vulnerable to loss during preanalytical processes.

Aβ ratios are less vulnerable to preanalytical surface exposure

Despite disparities in the size of transfer and volume effects between studies on PP tubes, our data and those of others [21], [32] converge on the reduction of preanalytical surface exposure effect when a ratio of Aβ peptides is used. For Aβ42:Aβ40, the disparity between initial and treatment subsequent result was reduced by approximately 50% (volume) and 75% (transfer) as compared to Aβ42 alone (Table 1). It is difficult to give a hard estimate for the amount of concentration loss necessary to mislead interpretation of the ratio, and this will depend on how close the individual peptide values are to a chosen diagnostic threshold. However, it is reasonable to expect reduction in the range, or “gray zone”, of diagnostic uncertainty if preanalytically derived “noise” can be mitigated. This is also relevant to cell models in AD research, where Aβ measurement variability within and between cell lines presents a hindrance to experiment repeatability, which use of ratios may help reduce.

Limitations

This study was limited by the relatively low number of independent samples used.

Summary

Loss of Aβ42 following differential exposure to polypropylene surfaces was significantly greater than Aβ40 and Aβ38 in both human CSF and neuronal cell CM. In addition, there was a tendency toward a pattern of greater loss of Aβ40 relative to Aβ38. Despite differences between peptides, Aβ ratios were less strongly affected by storage volume and tube transfer treatments than peptides considered individually. We conclude that the Aβ42:Aβ40 and Aβ42:Aβ38 ratios may predispose toward a risk of a false-negative diagnostic result for AD if samples are not treated in a standardized manner, though risk of misinterpretation may be less attendant than to Aβ42 alone. Reporting Aβ ratios in concert with individual peptides may reduce misinterpretation of Aβ assay results. Systematic review: Amyloid β 42 (Aβ42):Aβ40 ratio has attracted interest as a biomarker for Alzheimer's disease (AD) with a number of recent clinical studies demonstrating high sensitivity and specificity. Work on identifying preanalytical factors relevant to the ratio is ongoing. The authors have comprehensively cited this literature. Interpretation: Our findings add to growing evidence supporting Aβ42:Aβ40 and Aβ42:Aβ38 ratios as reliable biomarkers for AD and expand the experimental perspective beyond cerebrospinal fluid (CSF) to cell media. Significantly we highlight that longer peptides adsorb to polypropylene surfaces, in a context relevant to clinical diagnostics, to a greater extent than shorter peptides. Future directions: The manuscript forms a platform for further characterization of peptide-surface interaction for a wider range of Aβ fragments, which may have disease relevance or biomarker utility, and also for identification of factors affecting Aβ measurement from in vitro model fluids.
  49 in total

Review 1.  Standardization of preanalytical aspects of cerebrospinal fluid biomarker testing for Alzheimer's disease diagnosis: a consensus paper from the Alzheimer's Biomarkers Standardization Initiative.

Authors:  Hugo Vanderstichele; Mirko Bibl; Sebastiaan Engelborghs; Nathalie Le Bastard; Piotr Lewczuk; Jose Luis Molinuevo; Lucilla Parnetti; Armand Perret-Liaudet; Leslie M Shaw; Charlotte Teunissen; Dirk Wouters; Kaj Blennow
Journal:  Alzheimers Dement       Date:  2011-11-02       Impact factor: 21.566

2.  CSF biomarker variability in the Alzheimer's Association quality control program.

Authors:  Niklas Mattsson; Ulf Andreasson; Staffan Persson; Maria C Carrillo; Steven Collins; Sonia Chalbot; Neal Cutler; Diane Dufour-Rainfray; Anne M Fagan; Niels H H Heegaard; Ging-Yuek Robin Hsiung; Bradley Hyman; Khalid Iqbal; Stephan A Kaeser; Stephan A Käser; D Richard Lachno; Alberto Lleó; Piotr Lewczuk; José L Molinuevo; Piero Parchi; Axel Regeniter; Robert A Rissman; Robert Rissman; Hanna Rosenmann; Giuseppe Sancesario; Johannes Schröder; Leslie M Shaw; Charlotte E Teunissen; John Q Trojanowski; Hugo Vanderstichele; Manu Vandijck; Marcel M Verbeek; Henrik Zetterberg; Kaj Blennow
Journal:  Alzheimers Dement       Date:  2013-05       Impact factor: 21.566

3.  How to handle adsorption of cerebrospinal fluid amyloid β (1-42) in laboratory practice? Identifying problematic handlings and resolving the issue by use of the Aβ42/Aβ40 ratio.

Authors:  Eline Willemse; Kees van Uffelen; Britta Brix; Sebastiaan Engelborghs; Hugo Vanderstichele; Charlotte Teunissen
Journal:  Alzheimers Dement       Date:  2017-02-21       Impact factor: 21.566

Review 4.  Biochemistry and cell biology of tau protein in neurofibrillary degeneration.

Authors:  Eva-Maria Mandelkow; Eckhard Mandelkow
Journal:  Cold Spring Harb Perspect Med       Date:  2012-07       Impact factor: 6.915

5.  Differences in nucleation behavior underlie the contrasting aggregation kinetics of the Aβ40 and Aβ42 peptides.

Authors:  Georg Meisl; Xiaoting Yang; Erik Hellstrand; Birgitta Frohm; Julius B Kirkegaard; Samuel I A Cohen; Christopher M Dobson; Sara Linse; Tuomas P J Knowles
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-17       Impact factor: 11.205

6.  Confounding factors influencing amyloid Beta concentration in cerebrospinal fluid.

Authors:  Maria Bjerke; Erik Portelius; Lennart Minthon; Anders Wallin; Henrik Anckarsäter; Rolf Anckarsäter; Niels Andreasen; Henrik Zetterberg; Ulf Andreasson; Kaj Blennow
Journal:  Int J Alzheimers Dis       Date:  2010-07-15

7.  Atomic-resolution structure of a disease-relevant Aβ(1-42) amyloid fibril.

Authors:  Marielle Aulikki Wälti; Francesco Ravotti; Hiromi Arai; Charles G Glabe; Joseph S Wall; Anja Böckmann; Peter Güntert; Beat H Meier; Roland Riek
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-28       Impact factor: 11.205

8.  Human cerebral cortex development from pluripotent stem cells to functional excitatory synapses.

Authors:  Yichen Shi; Peter Kirwan; James Smith; Hugh P C Robinson; Frederick J Livesey
Journal:  Nat Neurosci       Date:  2012-02-05       Impact factor: 24.884

9.  Effect of Spinal Manometers on Cerebrospinal Fluid Amyloid-β Concentration.

Authors:  Jamie Toombs; Martha S Foiani; Ross W Paterson; Amanda Heslegrave; Selina Wray; Jonathan M Schott; Nick C Fox; Michael P Lunn; Kaj Blennow; Henrik Zetterberg
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

10.  Cerebrospinal Fluid Aβ40 Improves the Interpretation of Aβ42 Concentration for Diagnosing Alzheimer's Disease.

Authors:  Aline Dorey; Armand Perret-Liaudet; Yannick Tholance; Anthony Fourier; Isabelle Quadrio
Journal:  Front Neurol       Date:  2015-11-27       Impact factor: 4.003

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  11 in total

1.  Effect of Long-Term Storage on the Reliability of Blood Biomarkers for Alzheimer's Disease and Neurodegeneration.

Authors:  Carla R Schubert; Adam J Paulsen; A Alex Pinto; Natascha Merten; Karen J Cruickshanks
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.472

Review 2.  2020 update on the clinical validity of cerebrospinal fluid amyloid, tau, and phospho-tau as biomarkers for Alzheimer's disease in the context of a structured 5-phase development framework.

Authors:  A Leuzy; N J Ashton; N Mattsson-Carlgren; A Dodich; M Boccardi; J Corre; A Drzezga; A Nordberg; R Ossenkoppele; H Zetterberg; K Blennow; G B Frisoni; V Garibotto; O Hansson
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-03-05       Impact factor: 9.236

3.  P-tau/Aβ42 and Aβ42/40 ratios in CSF are equally predictive of amyloid PET status.

Authors:  Michelle R Campbell; Susan Ashrafzadeh-Kian; Ronald C Petersen; Michelle M Mielke; Jeremy A Syrjanen; Argonde C van Harten; Val J Lowe; Clifford R Jack; Joshua A Bornhorst; Alicia Algeciras-Schimnich
Journal:  Alzheimers Dement (Amst)       Date:  2021-05-18

4.  Hypocretin-1 measurements in cerebrospinal fluid using radioimmunoassay: within and between assay reliability and limit of quantification.

Authors:  Adrienne Elisabeth van der Hoeven; Kevin van Waaij; Denise Bijlenga; Frederik Willem Cornelis Roelandse; Sebastiaan Overeem; Jaap Adriaan Bakker; Rolf Fronczek; Gert Jan Lammers
Journal:  Sleep       Date:  2022-07-11       Impact factor: 6.313

5.  Antemortem CSF Aβ42/Aβ40 ratio predicts Alzheimer's disease pathology better than Aβ42 in rapidly progressive dementias.

Authors:  Simone Baiardi; Samir Abu-Rumeileh; Marcello Rossi; Corrado Zenesini; Anna Bartoletti-Stella; Barbara Polischi; Sabina Capellari; Piero Parchi
Journal:  Ann Clin Transl Neurol       Date:  2018-12-14       Impact factor: 4.511

6.  Towards a unified protocol for handling of CSF before β-amyloid measurements.

Authors:  Shorena Janelidze; Erik Stomrud; Britta Brix; Oskar Hansson
Journal:  Alzheimers Res Ther       Date:  2019-07-19       Impact factor: 6.982

7.  Agreement of amyloid PET and CSF biomarkers for Alzheimer's disease on Lumipulse.

Authors:  Daniel Alcolea; Jordi Pegueroles; Laia Muñoz; Valle Camacho; Diego López-Mora; Alejandro Fernández-León; Nathalie Le Bastard; Els Huyck; Alicia Nadal; Verónica Olmedo; Frederic Sampedro; Victor Montal; Eduard Vilaplana; Jordi Clarimón; Rafael Blesa; Juan Fortea; Alberto Lleó
Journal:  Ann Clin Transl Neurol       Date:  2019-08-28       Impact factor: 4.511

8.  Repurposing beta-3 adrenergic receptor agonists for Alzheimer's disease: beneficial effects in a mouse model.

Authors:  Marine Tournissac; Tra-My Vu; Nika Vrabic; Clara Hozer; Cyntia Tremblay; Koralie Mélançon; Emmanuel Planel; Fabien Pifferi; Frédéric Calon
Journal:  Alzheimers Res Ther       Date:  2021-05-21       Impact factor: 6.982

9.  Preanalytical approaches to improve recovery of amyloid-β peptides from CSF as measured by immunological or mass spectrometry-based assays.

Authors:  Stephen P Schauer; William R Mylott; Moucun Yuan; Rand G Jenkins; W Rodney Mathews; Lee A Honigberg; Kristin R Wildsmith
Journal:  Alzheimers Res Ther       Date:  2018-11-28       Impact factor: 6.982

10.  Concordance of CSF measures of Alzheimer's pathology with amyloid PET status in a preclinical cohort: A comparison of Lumipulse and established immunoassays.

Authors:  Ashvini Keshavan; Henrietta Wellington; Zhongbo Chen; Ayesha Khatun; Miles Chapman; Melanie Hart; David M Cash; William Coath; Thomas D Parker; Sarah M Buchanan; Sarah E Keuss; Matthew J Harris; Heidi Murray-Smith; Amanda Heslegrave; Nick C Fox; Henrik Zetterberg; Jonathan M Schott
Journal:  Alzheimers Dement (Amst)       Date:  2020-09-13
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