Review
Pauline Bros, Vincent Delatour*, Jérôme Vialaret, Béatrice Lalere, Nicolas Barthelemy, Audrey Gabelle, Sylvain Lehmann* and Christophe Hirtz
Quantitative detection of amyloid-β peptides by mass spectrometry: state of the art and clinical applications
DOI 10.1515/cclm-2014-1048
Received October 25, 2014; accepted January 20, 2015; previously published online February 18, 2015
strategies implemented that might be suitable for clinical applications.
Keywords: Alzheimer; amyloid-β; biomarkers; clinical chemistry; mass spectrometry; quantification.
Abstract: Alzheimer’s disease (AD) is the most common form of dementia in humans, and a major public health concern with 35 million of patients worldwide. Cerebro-spinal fluid (CSF) biomarkers being early diagnostic indicators of AD, it is essential to use the most efficient analytical methods to detect and quantify them accurately. These biomarkers, and more specifically amyloid-β (Aβ) peptides, are measured in routine clinical practice using immunoassays. However, there are several limits to this immunodetection in terms of specificity and multiplexing of the multiple isoforms of the Aβ peptides. To overcome these issues, the quantification of these analytes by mass spectrometry (MS) represents an interesting alternative, and several assays have been described over the past years. This article reviews the different Aβ peptides quan-titative MS-based approaches published so far, compares their pre-analytical phase, and the different quantitative
*Corresponding authors: Vincent Delatour, Laboratoire National de Métrologie et d’Essais (LNE), 1 rue Gaston Boissier, Paris, France, E-mail: Vincent.DELATOUR@lne.fr; and Sylvain Lehmann, Laboratoire de Biochimie et de Protéomique Clinique, Institut de Médecine Régénérative et Biothérapies (LBPC-IRMB), CHU de Montpellier, 80 rue Augustin Fliche, Montpellier, France, E-mail: s-lehmann@chu-montpellier.fr
Pauline Bros: Laboratoire de Biochimie et de Protéomique Clinique, Institut de Médecine Régénérative et Biothérapies (LBPC-IRMB), CHU de Montpellier, Montpellier, France; and Laboratoire National de Métrologie et d’Essais (LNE), Paris, France
Jérôme Vialaret, Nicolas Barthelemy, Audrey Gabelle and
Christophe Hirtz: Laboratoire de Biochimie et de Protéomique Clinique, Institut de Médecine Régénérative et Biothérapies (LBPC-IRMB), CHU de Montpellier, Montpellier, France
Béatrice Lalere: Laboratoire National de Métrologie et d’Essais (LNE), Paris, France
Introduction
Alzheimer’s disease (AD) is the most common form of dementia, a general term encompassing loss of memory and cognitive functions interfering therefore with activi-ties of daily living. With 35 million of patients worldwide, AD represents 50%–80% of cases of dementia and is reaching epidemic proportions in industrialized coun-tries mainly because of the aging of the population. By 2050, the estimates are quite pessimistic with more than 115.4 million people expected to develop AD [1]. Two main forms of AD coexist, sporadic AD which affects around 5% of the population after the age of 65, and familial AD, which is rare ( <1% of the patients), often appears before the age of 65, and is linked to mutations in AD relevant genes (PSEN1-2, APP) [2]. Regardless of its form, AD is characterized by behavioral changes, memory impair-ments, praxis and gnosis disorders leading to a progres-sive loss of autonomy in patients [3]. As for today, there are no curative treatments available, but patients can still benefit form symptomatic treatments which improve their quality of life [4].
On a neuro-pathological level, AD is characterized by the presence in the brain parenchyma of hyperphospho-rylated tau (p-tau) proteins aggregated into neurofibril-lary tangles, and amyloid plaques [5]. Amyloid plaques are formed by aggregates of amyloid-β (Aβ) peptides; the Aβ 1-42 isoform being the most represented in the plaques of autopsied brains in AD patients [6]. Aβ pep-tides derive from the amyloid precursor protein (APP), a
Brought to you by | Shanxi University Library (taiyuan)AuthenticatedDownload Date | 9/5/15 2:32 PM1484 Bros et al.: Amyloid-β peptides clinical mass spectrometry quantification87-kDa transmembrane protein with a large extracellular domain. This protein is metabolically cleaved by α-, β- and γ-secretases, leading to the formation of several peptide fragments including Aβ 1-42 and 1-40 (Figure 1). The decrease of Aβ peptide concentrations in the cerebrospi-nal fluid (CSF) of AD patients is correlated with the pres-ence of amyloid plaques [7]. This is especially true for Aβ 1-42 which has a higher tendency to aggregation than Aβ 1-40 [8]. Aβ 1-40 is therefore rather involved in advanced stages of the disease [9].
The diagnosis of AD is based on neuropsychologi-cal tests, functional and morphologic imaging (MRI, hippocampal volumetry), and the levels of the follow-ing biomarkers present in the CSF: Aβ peptides, tau and p-tau(181) proteins [10–13]. These biomarkers which are now routinely measured in specialized laboratories [12, 14] are useful to predict and diagnose AD. In practice, two Aβ peptides (Aβ 1-40 and Aβ 1-42) are quantified by enzyme-linked immuno-sorbent assay (ELISA) [13, 14]. This quantification is based the recognition of the epitopes corresponding to the C-terminus amino acids of Aβ 1-40 and Aβ 1-42 using, respectively, the 2G3 and 21F12 antibodies. Recently, new multiplex immunoassays detecting multiples isoforms of Aβ peptides (1-38, 1-40 and 1-42) have been developed using Meso Scale Discovery (MSD) and Luminex platforms [15–19].
Importantly, other Aβ peptides like Aβ 2-14, 1-17, 1-18, 1-33, 1-34 or 1-37 have been described [20, 21] and their role and diagnostic interest still need to be explored in human CSF. Developing multiplexed ELISA in this context would be lengthy and costly. Mass spectrometry (MS) with its high specificity and multiplexing capacity appears as a good alternative to immunoassay techniques, and could represent an interesting new diagnostic tool for AD. Inci-dentally, it is interesting to note that the number of pub-lications related to the analysis of Aβ peptides by MS has increased 12-fold in the past 20 years.
Physicochemical properties of Aβ peptides
The origin of amyloid plaques is in relation with the ten-dency of Aβ peptides to aggregate, especially Aβ 1-42 [22]. Aβ peptide aggregation is mainly triggered by conforma-tional changes [23]. These peptides which are initially part of the APP transmembrane domain acquire after proteo-lytic cleavage a β-sheet structure. Then, they aggregate in an antiparallel arrangement to form filaments. Several filaments constitute fibrils which eventually form amyloid plaques [23]. While Aβ peptides auto-aggregate, they also
Amyloidogenic pathwaysAPPβAPPsAPPαNon-amyloidogenic pathwayAβ1-42Aβ1-40Aβ1-38Aβ1-34Extracellulardomainβ−Secretaseα−Secretasep3γ−Secretaseγ−SecretaseAICDIntracellulardomainα−SecretaseAβ1-16Aβ1-15Aβ1-14AICDAdditionalpathwayIntracellulardomainFigure 1: Metabolism of the amyloid precursor protein (APP).
Graphic representation of the generation of Aβ peptide isoforms from the amyloid precursor protein (APP). APP can be metabolized in two main ways: the amyloid pathway and non-amyloid pathway. In the amyloid pathway, the action of a β-secretase followed by a γ-secretase generates the soluble APP-β, the classical Aβ peptides (1-42, 1-40, 1-38) and the amyloid intra cellular domain (AICD). The non-amyloid pathway via the α-secretase and the γ-secretase cleaves the APP in three fragments: the soluble APP-α, p3 and the AICD. Short truncated isoforms (Aβ 1-14, 1-16, 1-17) could result from an additional pathway combining the action of β-and α-secretases.
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tend to bind to other proteins in vivo [24] and they also adsorb in a non-specific manner to the plastic of collec-tion and assay tubes [25] rendering more complex their accurate quantification. The particular physicochemical properties of Aβ peptides require therefore to control and standardize pre-analytical and analytical phases to obtain reliable measurements with both MS and ELISA, and to eventually deliver reliable results to patients [26–28].
freeze and store Aβ standards and CSF at –80 °C to avoid stability issues [35–37]. Addition of protease inhibitors could improve protein stability upon storage but add an additional complexity to samples that could affect their commutability [37]. As for many analytes, more than two or three freeze/thaw cycles have also to be avoided to ensure the reproducibility of the results [27].
Pre-analytical conditions
Time of CSF collection
It is known that the concentration of some analytes in the CSF, like melatonin or dopamine, is influenced by circa-dian rhythms [29]. In 2007, Bateman et al. reported a signifi-cant daytime variation (1.5–6-fold) of Aβ 1-40 and Aβ 1-42 levels in CSF over a 36-h period [30]. However, several other studies did not observe any significant daytime variations [27, 31]. To be on the safe side, it is however recommended to always perform CSF collection at the same time [26].
Analytical strategies for the
detection and the quantification of Aβ peptides by MS
As a result of their low abundance and the wide dynamic range of protein concentrations in CSF (1010) [38], Aβ pep-tides are difficult to detect by MS. A sample preparation step is therefore generally necessary in order to extract and concentrate them before analysis [39]. After thawing CSF, in order to recover monomeric Aβ peptides that oth-erwise spontaneously auto-aggregate, aggregate to other proteins or get adsorbed to the walls of tubes, the most common approach is to denature samples with guanidine hydrochloride (Gnd HCl 5M). This can also help minimiz-ing enzymatic activities and thus improving intermediate
CSF collection tubes
precision of measurements by reducing sample degrada-tion [40]. After denaturation, the samples can be analyzed
Composition of tubes used to collect CSF during lumbar
by various MS techniques as described below and Table 1.
puncture has a strong influence on Aβ peptide concen-trations [32]. This is in relation with the tendency of Aβ peptides to adsorb to the walls of the tube. Hence, it has
been shown that glass and polystyrene tubes led to lower Immuno-precipitation – matrix-assisted
measured concentrations of Aβ peptides [25, 31]. Polypro-laser desorption ionization-time of flight-MS pylene tubes were believed to reduce this phenomenon (IP-MALDI-ToF-MS)[32]. However, even polypropylene tubes which are not
made entirely of polypropylene, and have various surface MALDI-ToF-MS is a sensitive and fast technique for the treatments, have a major impact on Aβ peptide measured detection and relative quantification of Aβ peptides, yield-concentrations [25]. The consequences on AD biologi-ing a relatively high resolution and high mass accuracy. cal diagnosis could be very important, as demonstrated MALDI is based on the use of a laser beam for desorption, in a multisite study conducted in four French Centers for sublimation and ionization of Aβ peptides co-crystalized Memory Research and Resources (CMRR) (Montpellier, with a chemical matrix (α-cyano-4-hydroxycinnamic acid) Lille, Lyon and Paris) [33]. Standardization of the collec-on a stainless steel target [41] (Figure 2A). However, due tion tubes (using, e.g., the tube Sarstedt 62.610.201) could to the complex nature of CSF, extraction and purifica-improve multicenter comparison and decrease the risk of tion steps, like immuno-precipitation (IP), are necessary wrong diagnosis [34].to reduce the matrix complexity in order to measure Aβ
peptides with sufficient sensitivity [43]. Immuno-capture techniques, like those described by Portelius et al., are based on magnetic beads (Dynabeads M-280 streptavidin) CSF sample storage
functionalized with anti-Aβ peptide antibodies. The most
Storage at –20 °C or –80 °C has apparently little influence commonly used antibodies are 6E10 and 4G8 which are on CSF Aβ peptides [31]. It is however recommended to directed against epitopes 4-9 and 18-22, respectively [41,
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Table 1: Detection of amyloid-β peptides.
ELISA
1-38, 1-40, 1-42
1-13, 1-14, 1-15,1-16, 1-20, 1-28, 1-30, 1-37 ox, 1-38 ox, 1-39 ox, 1-40 ox, 1-42 ox, 1-43, 2-42, 3-40, 3-42, 5-401-17, 1-18, 1-19, 1-33, 1-34, 1-39
1-29, 2-15,2-16,2-17, 2-19, 2-38, 4-13, 4-14, 4-15, 4-16, 4-191-35, 1-36, 1-37, 1-40 x-x, 3-44, 3-47, 10-40, 11-402-14
4-40, 4-42, 5-42, 7-42, 8-42, 9-40, 9-42, 10-42, pGlu 11-42, pGlu 3-40, pGlu 3-4211-42
x
MALDIxxx
SELDIx
LC-MS/MSxxxxx
xxx
xx
x
A
MALDI
LASER
++++
Linear TOF
DDETECTOR
C
Aβ1-40
+
++++
Heavy ionsLight ions
High voltagePeptides
Matrix
B
HPLC
Aβ1-42
Aβ1-38
Collision energy
Capillary
Q1Precursor ionselection
Collision cell (Q2) Precursor ionfragmentation
Q3Fragment ionselection
ESI sourceInterfaceTriple quadrupole
Figure 2: Illustration of MS detection approaches and profile of Aβ peptides.
(A) MALDI-ToF-MS is a very sensitive technique to determine the mass of proteins and peptides. It is relatively fast and easy to use. It relies on a soft ionization technique in which a short laser pulse is used to ionize molecules. A protein or peptide sample is placed on a target plate where it is mixed with an appropriate chemical matrix. The co-crystallized mixture of samples and matrix is irradiated with a short laser pulse and entered in a gas phase. The ions are accelerated in a time of flight (ToF) analyzer which measures the time it takes for the molecules to travel a set distance. The mass to charge ratio (m/z) of the ions can then be calculated. (B) selected reaction monitoring (SRM) is a very specific and sensitive targeted MS technique used to quantify preselected relevant ions. It is based on the use of triple- quadrupole-type mass spectrometers coupled to HPLC. After peptide ionization in the source, one or several peptides with a known mass are selected in the first quadrupole. These “precursor” ions are then fragmented in the second quadrupole. The third quadrupole can monitor one or several ion fragments called “product” ions which are specific to the precursor ion. The monitoring of a precursor ion and one of its product ions is called a “transition” which is specific to the selected peptide and can be quantified. (C) Chromatogram obtained after SPE CSF fractionation according to the Pannee et al. protocol [42] and nanoLC-triple quadrupole analysis with and alkaline mobile phase.
44, 45]. As the 6E10 epitope is located in the N-terminus of the Aβ peptide, it captures mainly different truncated C-terminal isoforms. In 2006 and 2007, Portelius et al. detected 18 Aβ peptides truncated at the N-terminus after 6E10 IP and analysis on a Bruker Autoflex mass spectro-meter [41, 46]. Interestingly, the authors showed that Aβ 1-16, Aβ 1-33, Aβ 1-39, and Aβ 1-42 expression profile in CSF (Table 1) could help differentiating patients with sporadic
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AD from non-demented controls with a global accuracy of 86% [41].
To take into account sample preparation variabil-ity, as well as differences in desorption/ionization, the area of each MS peak obtained for the Aβ peptides was normalized by the sum of peak areas of the most abun-dant Aβ peptides [41]. However, this approach, called internal normalization, does not yield information on the absolute concentration of Aβ peptides. It needs also to perform several successive MS acquisitions in order to obtain an interpretable profile for each sample. To over-come these issues, a quantitative analysis by isotope dilution has been developed. The previously described IP-MALDI-ToF-MS technique was modified by adding two isotopically-labeled Aβ peptides as internal standards, Aβ 1-15 Arg13C15N and Aβ 1-34 Arg13C15N [46]. These labeled pep-tides triggered a 10 Da shift of the nominal mass and thus did not interfere with MS peaks of endogenous peptides to be quantified. This resulted in an improvement in results accuracy for Aβ 1-17 and Aβ 1-40 peptides.
Of note, IP-MALDI-ToF MS was used to follow the effect of a γ-secretase inhibitor [Semagacestat (LY450139)] [47]. This compound resulted in an increased production of Aβ 1-14, 1-15, and 1-16, a decrease in Aβ 1-17 while Aβ 1-42 and 1-40 remained unaffected. This illustrates the inter-est of following additional Aβ isoforms in AD research [39, 48–51].
Of note, SELDI-ToF-MS which is based on an initial capture of Aβ peptides using antibodies covalently immo-bilized on a proteinchip prior to MALDI-ToF has been used in the past to detect different isoforms of these analytes [52]. This straightforward approach allowed the discovery of several new AD biomarkers [20, 53] and in particular two new Aβ peptides (Aβ 3-44, Aβ 3-47) [53]. Combining Aβ capture with the N-and C-terminus specific antibodies 6E10 and 4G8 [54], 15 Aβ peptides were detected, includ-ing Aβ 1-38 and 1-40 peptides, as well as new peptides truncated in the N-terminus: Aβ 11-40, Aβ 11-42 and Aβ 10-40 [20] (Table 1).
Immuno-precipitation-liquid chromatog-raphy-MS (IP-LC-MS/MS) and solid phase extraction-liquid chromatography-tandem MS (SPE-LC-MS/MS)
Tandem MS (MS/MS) is an approach employing two stages of mass analysis in order to selectively fragment a specific ion in a mixture of precursor ions. For proteomics applica-tion, MS/MS is usually coupled with a separation method,
such as reverse phase liquid chromatography (LC) (see the paragraphs “Mobile phases” and “Analytical columns” below). Performed with a triple quadrupole mass spec-trometer, this approach is considered as the gold standard for proteins and peptides quantitation (Table 2). In this context, the most commonly used MS acquisition mode is the selected reaction monitoring (SRM) (Figure 2B). Briefly, peptides are ionized in the electrospray source (ESI) (see the paragraph “Ionisation mode” below). Ions with a given mass (precursor ions) are then selected in the first quadrupole of the mass spectrometer, fragmented in the second quadrupole, and specific ions produced by the fragmentation reaction (product ions) are selected in the third quadrupole for quantification. The precursor ion/product ion couple is called a “transition”.
Recently, candidate reference methods [reference measurement procedure (RMP)] have been proposed for the absolute quantification of Aβ 1-42 by LC-MS/MS [55, 56]. If selected as higher order reference method, they could be used to certify a reference material [certified reference material (CRM)] that would become the “gold standard” with which all in vitro diagnostic kits should be calibrated with to fulfill requirements of the European Commission in vitro diagnostic device directive (IVD Directive 98/79/EC) [57]. This CRM would allow standardizing the differ-ent routine methods, thus improving results comparabil-ity and reliability.
To set up a SRM method for Aβ peptides, these ana-lytes were initially concentrated by IP (6E10 antibodies) [58]. IP was progressively replaced by solid phase extrac-tion (SPE) which resulted in a very efficient detection of Aβ peptides [40, 42] (Figure 2C). The first SPEs of Aβ peptides used hydrophilic-lipophilic balanced (HLB) [59] and SepPak C18 [60] stationary phases. Recent advances on mixed-mode of SPE with Mild Cation eXchange (MCX), improved the selectivity and recovery of Aβ peptides [40, 42]. Of note, regardless of the prefractionation approach, CSF is generally dried in a lyophilizer or a vacuum cen-trifuge concentrator (speedvac) in order to concentrate, freeze-dry and store them before analysis. The dry resi-dues are then resolubilized in an alkaline solution (e.g., 20% ACN, 1% NH4OH), in order to avoid aggregation of Aβ peptides before analysis [61].
Mobile phases
The use of reversed phase high pressure LC (HPLC) columns associated with an acid mobile phase is the usual strategy for peptide separation in a wide variety of biological matrices [62, 63]. Quantification of Aβ peptides
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Table 2: Comparison of the different mass spectrometry technologies.
Analytical precision
MALDISELDILC-MS
+++++++
Possible
quantification++++++
Clinical
implementation+–+++
Complexity of the system and its set-up++++
Cost of the system++++++
is however mainly done with an alkaline mobile phase which is more adapted to the physical chemistry of Aβ peptides. As a matter of fact, right from 1992, Burdick et al. showed that aggregation of Aβ peptides increased when pH ranged between 2 and 9 [61]. To avoid aggrega-tion, the chromatographic separation of Aβ 1-40 and 1-42 is therefore better performed under alkaline conditions. Furthermore, the signals obtained in MS under alkaline conditions are about 10-fold higher than those obtained using an acid mobile phase [58]. Several mobile phases have been tested (ammonium acetate, methanol, acetoni-trile, hexa-fluoro-isopropanol) and the mix of acetonitrile and ammonium hydroxide was giving the best results in terms of intensity and chromatographic separation of Aβ peptides [58].
Ionization mode
ESI can be done in negative or positive mode, meaning that either negatively charged or positively charged species can be obtained and monitored. In the literature, Aβ peptides are often detected in positive mode but according to Oe et al. [58, 66] sensitivity is improved in the negative mode. In 2011, Lame et al. however demonstrated that working in positive mode, but using alkaline instead of acid mobile phases, led to a significant improvement of the ion signal stability over a 24-h period and a lower detection limit for Aβ peptides.
Analytical columns
Due to their hydrophobic nature, Aβ peptides can be sepa-rated on a C8 [64, 65] or C18-type non-polar column [42, 58]. Separation of Aβ peptides being improved under alka-line conditions, the columns must be resistant to alkaline pH (Table 3). Recently, in order to reduce the contami-nation of the column by proteins or other hydrophobic molecules, Pannee et al. used a reversed-phase monolith column [42].
Quantitative detection of Aβ
peptides by LC-MS/MS in a clinical context
For the past 15 years, LC coupled to tandem mass spec-trometry (LC-MS/MS) has been increasingly used in clini-cal laboratories [67], and it has been recently adapted to Aβ peptides detection [64]. Compared to immunological techniques, LC-MS/MS shows a very high specificity, mul-tiplexing capacities and absolute quantification which relies on different standards and calibration strategies as illustrated for Aβ peptides in the next paragraphs.
Table 3: Columns used for alkaline mobile phases.Columns
Waters C8 Xterra MS(3.0 ×150 mm, 3.5 μm)
pH range
1–12
Mobile phases
Mobile phase A: 5% ACN 5% Isopropanol 10 mM ammonium acetate
Mobile phase B: 45% ACN 45% Isopropanol 10 mM ammonium acetateMobile phase A: 0.1% NH4OH
Mobile phase B: 0.1% NH4OH ACN (1:200 v/v)Mobile phase A: 0.3% NH4OH (v/v)
Mobile phase B: 90:10 (v/v) ACN/Mobile phase AMobile phase A: 0.1% NH4OH 5% ACNMobile phase B: 0.03% NH4OH 95% ACN
References
[64]
Waters XBridgeC18 column
(150 ×2.1 mm id, 3.5 μm, 125 Å)Waters Acquity UPLC BEH300 C18(2.1 ×150 mm, 1.7 μm)
Thermo Scientific ProSwiftRP-4H1
1–121–121–14
[66][40][42]
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Use of internal standards
In order to control the variability of the different steps of the protocol (i.e., extraction of Aβ peptides, LC separation, MS ionization and fragmentation), an internal standard can be introduced in the sample at the beginning of the process. Ideally, an internal peptide standard corresponds to a peptide synthetized with the incorporation of stable isotopes such as 13C or 15N. These results in a known mass increment, explaining the term often used of “heavy” standard [68]. To quantify Aβ peptides via LC-MS/MS, the ratio between the MS signal intensity of the endogenous peptide and that of its heavy counterpart present at a known concentration, is generally measured in samples and a set of calibrators [69].
Calibration curves and model matrices
Several peptide quantification strategies exist (see below and Figure 3). The choice depends of many issues includ-ing: the expected values and dynamic range of the ana-lytes, the availability and the cost of light and heavy standards or the nature and the accessibility of a model matrix in which the calibrators will be prepared. Regard-ing the matrix, it has to be as close as possible as that of the samples to avoid matrix-related effects, and it should not contain any endogenous analytes. For Aβ peptides, it is also important to verify that the model matrix does not induce any aggregation or non-specific adsorption. For quantification of Aβ peptides, several model matri-ces have been used, including human CSF depleted of Aβ Preparation of Aβ standard solutions
peptides, rat CSF, artificial CSF (Na 150; K 3.0; Ca 1.4; Mg
Aβ standards are commercially available in freeze-dried 0.8; P 1.0; Cl 155 in mM, Tocris Bioscience), artificial CSF forms rather than in solution to avoid problems linked to supplement with 5% of rat plasma or with 4 mg/mL of the high aggregation propensity of these peptides, espe-bovine serum albumin [40, 56, 66, 72].cially Aβ 1-42. During their re-suspension, Aβ peptides might however go back to the beta sheet conformation
they had prior to freeze-drying and thus could rapidly Normal curveform new aggregates [70]. To overcome this hurdle, stand-ards are often pretreated with hexafluoroisopropanol The “normal curve” approach is commonly used to gener-(HFIP) [71] in order to denature beta sheets and favor α-ate calibration curves (Figure 3A). The procedure is to add helix conformations. Aβ standards need eventually to be to the model matrix a variable amount of light standard re-suspended in solvents compatible with MS analysis, and a known amount of heavy standard, which will be also i.e., acetonitrile/ammonium hydroxide (20%:1%, v/v) [42, added to each sample. A calibration curve is then estab-66] or dimethylsulfoxide (DMSO) [40].lished by plotting the ratio between the concentrations
A
Normal curve
+ Varying amounts of Light Aβ
+ Constant amounts of Heavy AβModel matrix
B
Reverse curve
+ Constant amounts of Light Aβ+ Varying amounts of Heavy AβHuman CSF
Area L Area HArea H Area LConcentration LConcentration HConcentration HConcentration LFigure 3: Different MS-based quantification strategies.
(A) The “normal curve” consists in adding a variable quantity of light standard and a constant quantity of heavy standard in a model matrix that mimics the biological fluid of interest. The calibration model is obtained from light standard/heavy standard concentration ratios and light standard/heavy standard peak area ratios. (B) The “reverse curve” is the opposite of the “normal curve”. The light standard is added in a constant quantity in the relevant biological fluid (CSF, model matrix) while the quantity of heavy standard varies. The calibration model is obtained from the areas ratio of the MS signal of the heavy standard over the light standard according to the concentration ratio of the heavy standard over the light standard.
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Conclusions
Clinical laboratories measuring Aβ 1-40 and 1-42 CSF levels are mostly using simplex ELISA kits from differ-ent companies [4, 14]. Immunodetection approaches are straightforward, but they present some drawbacks such as difficulties to develop good multiplex panels, to detect additional forms of Aβ peptides, or to reach a low variabil-ity from batch to batch, and between providers. MS could help resolve these issues with the development of LC-MS/MS reference methods [55, 56] along with the forthcom-ing availability of a CRM. In addition, MS will be useful to qualify, control and improve comparability of results from existing immunoassays by providing calibrators with target values traceable to a reference method and/or CRM. However, the MS quantification of Aβ peptides will likely stay restricted to expert laboratories since it requires costly mass spectrometers, and highly qualified staff. In addition, the clinical added value of detecting in routine other Aβ peptides than Aβ 1-40 and 1-42 CSF has yet to be demonstrated. Diffusion of the technology in specialized laboratories involved in AD clinical research will anyway benefit from the future development of kits which would include standardized protocols, consumables and rea-gents (peptide standards).
Acknowledgments: This work was in part supported by the “Programme hospitalier de recherche Clinique” (PHRC) “ProMarA: use of targeted quantitative proteom-ics and metabolic labelling with stable isotopes for the diagnosis and the investigation of neurological disorders and in particular Alzheimer Disease” and the European FP7 Joint Programming on Neurodegenerative Diseases (JPND) BiomarkAPD.
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.Financial support: None declared.
Employment or leadership: None declared.Honorarium: None declared.
Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.
Reverse curve
On the opposite of the “normal curve”, the procedure is to add a variable amount of the heavy standard to the matrix (which could be a pool of samples) in presence of a known amount of light standard (or endogenous ana-lytes) (Figure 3B). This approach has been sometimes chosen for Aβ peptides since, on one hand, commut-ability studies suggested that only human CSF was a suitable matrix to mimic clinical samples [55], and on the other hand, it was very difficult to fully deplete CSF of Aβ peptides. The use of this type of calibration curve, with CSF pools as a matrix, may help to more accurately determine limits of detection and quantification of Aβ peptides [42, 73].
Comparison between ELISA and LC-MS/MS
When developing a new analytical strategy, it is impor-tant to compare it with the existing ones. Several studies have analyzed samples with both ELISA and LC-MS/MS. In 2006, Oe et al. [66] generated the first results for Aβ peptides quantification after IP and SRM and compared them to those obtained by ELISA. Correlation coeffi-cients obtained were respectively of 0.64 and 0.91 for Aβ 1-40 and Aβ 1-42. In 2013, Pannee et al. [42] developed a MS-based method and obtained lower correlation coef-ficients ranging from 0.35 to 0.77 and higher Aβ 1-42 concentration values with the MS method. Such discrep-ancy between ELISA and LC-MS/MS methods are likely related to differences in standard materials (i.e., purity and aggregation level of the light and heavy standards used to prepare the calibrators), as well as differences in the nature of the two methods: while ELISA relies on the
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