Skip to main content

Validation of a prefractionation method followed by two-dimensional electrophoresis – Applied to cerebrospinal fluid proteins from frontotemporal dementia patients



The aim of this study was firstly, to improve and validate a cerebrospinal fluid (CSF) prefractionation method followed by two-dimensional electrophoresis (2-DE) and secondly, using this strategy to investigate differences between the CSF proteome of frontotemporal dementia (FTD) patients and controls. From each subject three ml of CSF was prefractionated using liquid phase isoelectric focusing prior to 2-DE.


With respect to protein recovery and purification potential, ethanol precipitation of the prefractionated CSF sample was found superior, after testing several sample preparation methods.

The reproducibility of prefractionated CSF analyzed on 2-D gels was comparable to direct 2-DE analysis of CSF. The protein spots on the prefractionated 2-D gels had an increased intensity, indicating a higher protein concentration, compared to direct 2-D gels. Prefractionated 2-DE analysis of FTD and control CSF showed that 26 protein spots were changed at least two fold. Using mass spectrometry, 13 of these protein spots were identified, including retinol-binding protein, Zn-α-2-glycoprotein, proapolipoproteinA1, β-2-microglobulin, transthyretin, albumin and alloalbumin.


The results suggest that the prefractionated 2-DE method can be useful for enrichment of CSF proteins and may provide a new tool to investigate the pathology of neurodegenerative diseases. This study confirmed reduced levels of retinol-binding protein and revealed some new biomarker candidates for FTD.


Frontotemporal dementia (FTD) accounts for up to 20% of presenil dementia cases [1] and is, after Alzheimer's disease (AD), the second most common form of early onset dementia (at age < 65 years) [2]. The clinical picture in FTD is characterized mainly by changes in personality and social behavior, signs of disinhibition, lack of insight and changes in eating preferences [1]. Memory disturbances, which prevail in AD, may also be found in FTD but not usually to the same extent [3]. Post-mortem pathological examination reveals bilateral atrophy of the frontal and anterior temporal lobes in FTD and the ventricular system is sometimes widened frontally [4]. The histological findings provide a basis for the division of FTD into various subtypes. Neurofibrillary tangles, a prominent neuronal accumulation of hyperphosphorylated and filamentous forms of the microtubule associated protein tau, are found in FTD with Parkinsonism linked to chromosome 17, the hereditary variant of FTD, caused by mutations in the tau gene [5]. Another FTD variant, Pick's disease, is characterized by the presence of neuronal inclusion bodies called Pick bodies, containing filamentous tau and ubiquitin aggregates. The most common type of FTD is frontal lobe degeneration of non-Alzheimer type, which is clinically indistinguishable from Pick's disease, and histologically characterized by neuron loss and gliosis in the absence of distinctive histopathology, such as neurofibrillary tangles or other intracellular inclusions [4].

The diagnosis of FTD is often difficult and would be greatly enhanced by the use of disease specific neurochemical markers [6]. Several neuro-specific proteins in the cerebrospinal fluid (CSF) of FTD have been investigated [7, 8] and elevation of cytoskeleton markers such as neurofilament light protein and tau have been found [710]. In order to expand the search for diagnostic biomarkers, which would also lead to a better understanding of the pathophysiological mechanisms of neurodegeneration, two-dimensional electrophoresis (2-DE) investigations of the CSF have previously been performed [1115]. 2-DE can effectively separate several proteins and their isoforms simultaneously and is a useful tool for identifying quantitative and qualitative protein differences between the diseased and normal state. Previous proteomic studies by our group have shown for the first time that several proteins involved in FTD pathology are not effected in the CSF of AD patients and vise versa, thus establishing a likely difference in the pathophysiological mechanism between FTD and AD [11, 12].

Some abundant proteins, for example albumin and immunoglobulins, limit the total amount of CSF proteins that can be loaded on the 2-D gel, resulting in difficulties detecting low abundant proteins of CSF. By using liquid phase isoelectric focusing (LP-IEF) as a prefractionation step prior to 2-DE we have previously shown that less abundant CSF proteins can be enriched, thus making them more easily detected and identified by mass spectrometry (MS) [16]. The advantage of this method is that a larger volume of CSF (3 ml) can be used as starting material and that proteins outside the selected pH interval of the 2-D gel can be excluded. For several years alternative prefractionation methods prior to 2-DE have been reported [1722], each with its advantages and disadvantages.

The aim of the present study was to improve the prefractionation procedure for individual CSF samples and to determine its reproducibility. Moreover, the second aim of this study was to apply the method and further explore disease-influenced proteins in CSF from FTD patients compared to controls.


Preparation of prefractionated CSF samples prior to 2-DE

Several strategies to reduce impurities, i.e. salt and ampholytes, of the prefractionated CSF samples were performed including, trichloroacetic acid (TCA)-acetone precipitation, ethanol precipitation, chloroform/methanol/water precipitation and, micro Bio-Spin desalting column. The protein pattern on the 2-D gels and protein recovery from the different sample preparation methods were compared to that of acetone precipitation, previously used prior to prefractionated 2-DE of CSF [16]. We found that ethanol precipitation gave the best result and allowed us to reduce the focusing time from 25 000 Vh to 20 000 Vh, as recommended by the Protean cell manufacturer. Evaluation of gels with ethanol precipitated sample showed that the same protein spots were present, or even a few more, with similar intensities as in the gels with the acetone treated CSF-samples (figure 1a and 1b). Furthermore, the optimal ethanol concentration was tested showing that a concentration of at least 70% ethanol was sufficient to generate a total protein recovery, determined by the RC DC protein assay (figure 1c). An ethanol concentration of 71.25% (3/4 95% ethanol and 1/4 sample) was used in the subsequent studies.

Figure 1
figure 1

Comparison of different protein precipitation methods. a) 75% acetone precipitation and b) 70% ethanol precipitation of prefractionated SYPRO Ruby stained CSF proteins with pH 4.5–6.0, separated on IPG-strips, pH 4–7. The molecular weights (MW) are in kDa. c) The protein recovery as % of control (untreated CSF) after precipitation with indicated concentrations of ethanol and 75% acetone. The protein recovery was measured using the RC DC protein assay (Bio-Rad).

Both TCA-acetone and chloroform/methanol/water precipitation substantially reduced the number of spots and resulted in streaky 2-D gels (data not shown). The use of biospin columns gave well-focused 2-D gels but several protein spots were reduced or lost (data not shown).

Reproducibility of prefractionated and unfractionated CSF on 2-D gels

Four identical CSF samples were individually prefractionated by LP-IEF. Fractions 6–9 (having a pH of 4.5–6.0) were pooled and analyzed on pH 4–7 strips in four replicates. Coefficients of variation (CVs) were calculated for the protein spots quantities, determined by the PD-Quest software, and a selection of 20 spots had CVs ranging from 1–33% (15.4% ± 8.3%, mean ± SD) (Figure 2a). The spots were selected to represent a broad range of proteins present in each replicate, i.e. proteins of different molecular weights and isoelectric points (pIs), low, medium and high abundant proteins as well as different isoforms of the same protein. The reproducibility of direct 2-DE of CSF, using pH 4–7 gels, in four replicates was also determined and the CVs of a similar selection of 20 spots ranged from 1–35% (14.6% ± 7.9%, mean ± SD) (Figure 2b).

Figure 2
figure 2

Reproducibility study of direct and prefractionated 2-DE of CSF on SYPRO Ruby stained 2-D gels. a) Represents a standard 2-D gel image of prefractionated (using LP-IEF) CSF fractions with pH 4.5–6.0, separated on a pH 4–7 IPG-strip. Numbers represents the CVs of encircled protein spots from four individually prefractionated, identical CSF samples separated by 2-DE. The mean CV of the 20 marked spots is 14.6% ± 7.9% (mean ± SD). b) Represents a standard 2-D gel image of directly analysed (after acetone precipitation) CSF proteins, separated on a pH 4–7 IPG-strip. Numbers represents the CVs of encircled protein spots from four replicate gels. The mean CV of the 20 marked spots is 15.4% ± 8.3% (mean ± SD). Molecular weights (MW) are in kDa.

Comparison of direct and prefractionated 2-DE

Comparison of direct and prefractionated 2-DE showed that the prefractionated gels contained more spots with a higher protein concentration (Figure 3). The spots in the pH 3–6 and pH 5–8 gels in particular were increased in both number and density after prefractionation.

Figure 3
figure 3

Comparison of direct and prefractionated CSF on SYPRO Ruby stained 2-D gels. The upper figures represents standard images of direct 2-DE, and the lower figures represents prefractionated 2-DE. The pH interval of the IPG strips is denoted in the upper left corner of the gels and the pH range of the prefractionated CSF samples at the bottom of the gel images. Molecular weights (MW) are in kDa.

A proteomic study comparing prefractionated CSF from FTD patients and control subjects

The prefractionated 2-DE method was used to screen for changes in the CSF proteome of five FTD patients compared to that of five non-dementia controls in the pH intervals 3–6, 4–7, and 5–8 (Figure 4a,4b,4c).

Figure 4
figure 4

Prefractionated CSF from FTD patients compared to non-demented controls. Protein densities increased (squares) or decreased (circles) at least two times in prefractionated FTD CSF, analyzed using SYPRO-Ruby stained 2-DE gels. The five FTD patients were 70.6 ± 5.6 (mean ± SD) year-of-age and the five non-demented controls were 59.2 ± 11.9 (mean ± SD) year-of-age. The numbers on the 2-D gel pattern correlate each identified protein to the data given in table 2. Molecular weights (MW) are in kDa. a) Fraction 2–5 with pH 1.5–4.5 was analysed using a pH 3–6 linear IPG-strip. b) Fraction 6–9 with pH 4.5–6.0 was analysed using pH 4–7 linear IPG-strip. c) Fraction 10–14 with pH 6.0–7.5 was analysed using pH 5–8 linear IPG-strip in the first dimension.

Comparing the protein densities of the gels, 10 spots were up regulated and 16 spots down regulated, at least two fold, in FTD patients compared to non-dementia controls. Increased proteins are marked with a square and decreased with a circle (Figure 4a,4b,4c). Thirteen of the protein spots, corresponding to 7 different proteins, were identified by mass spectrometry (MS) Table 1). In the FTD group the following protein spots were increased: One isoform of Zn-α-2-glycoprotein (ZAG), proapolipoproteinA1 (ProapoA1), β-2-microglobulin (β-2-m) and two isoforms of transthyretin (TTR), while a reduction was seen in four isoforms of serum albumin, two isoforms of alloalbumin and retinol binding protein (RBP), compared to controls (Table 1).

Table 1 CSF proteins increased or decreased, at least two fold in FTD vs. control


In this study we present an improved method for increased detection of CSF proteins by a combination of LP-IEF and 2-DE, followed by SYPRO Ruby protein staining and protein identification by mass spectrometry, for investigation of protein differences in CSF of FTD patients compared to controls. To our knowledge no other prefractionation method combined with 2-DE has so far been developed and evaluated for CSF proteins.

The study showed that the reproducibility of prefractionated 2-D gels could be compared to that of direct 2-D gels, indicating that the extra prefractionation step did not introduce additional variation and could be reproduced from sample to sample. The protein detection and quantitative reproducibility of Coomassie Brilliant Blue [23], silver, [24, 25] and SYPRO Ruby [26, 27] staining of direct 2-DE gels has previously been described. In one SYPRO Ruby study [26] the reproducibility of the quantification of 20 proteins, selected to represent well matched proteins of different molecular weight and intensity, from four replicate gels, had CVs ranging from 3 to 33%. This is in agreement with our findings using a similar selection of 20 proteins, where the prefractionated 2-DE CVs ranged from 1–33% (mean 14.5%) and the direct 2-DE ranged from 1–35% (mean 15.4%). Mainly very faint spots have CVs in the higher range (Figure 2).

In addition to the high salt concentration of CSF (> 150 mmol/L), ampholytes are also introduced into the sample in the prefractionation step, LP-IEF. We previously reported that the focusing time in the first dimension of prefractionated 2-DE had to be increased [16] probably due to insufficient "clean up" of the sample by acetone precipitation. Therefore, different "clean up" procedures were tested. Precipitation using ethanol was found to be most effective, keeping the number and intensity of the protein spots constant and allowing us to reduce the focusing time in the first dimension. We found that TCA-acetone precipitation reduced the protein content of the sample in agreement with a study of directly analyzed CSF samples [13]. In contrast to the results of Yuan et al. [13] a substantial loss of protein spots using the Bio-Spin column was found. The reason might be that proteins are retained in the spin column to a higher degree in the presence of ampholytes (Servalytes), which are small charged peptides. Ethanol precipitation of plasma samples has previously been performed[28], showing that a concentration of 66.6% ethanol was sufficient to precipitate 99% of the proteins [28]. This is in agreement with our findings, that 100% of CSF proteins are precipitated at ethanol concentrations above 70%.

When comparing direct and prefractionated 2-DE it is evident that the prefractionated gels contain more spots, with higher protein quantities. Thus, the CSF proteins are enriched in the prefractionation step, simplifying their identification by MS, as shown in our previous study [16]. CSF analysis on the pH 3–6 and pH 5–8 gels in particular is improved by the prefractionation step, probably because the amount of CSF proteins in these pH ranges, without prefractionation, is rather low.

In order to widen our search for protein differences in the CSF of FTD patients the improved prefractionated 2-DE procedure was applied to CSF from five FTD patients and five control subjects. 26 protein spots were changed at least two fold and 13 of these protein spots, representing seven different proteins, were identified as ZAG, ProapoA1, β-2-m, TTR, RBP, serum albumin and alloalbumin. Our previous direct 2-DE study [12] of the FTD proteome showed that 7 proteins were significantly altered compared to controls, including granin like neuroendocrine precursor, apolipoprotein E, pigment epithelium derived factor, RBP, haptoglobulin and albumin.

A reduced level of RBP was consistent between our two studies, and in this case RBP was found reduced in both the pH 4–7 and the pH 5–8 gels. In contrast, CSF analysis of AD showed increased levels of one isoform of RBP [11], indicating a different role of RBP in the pathology of AD and FTD. RBP is synthesized by hepatic parenchymal cells, after binding to its ligand retinol, the complex is secreted into the circulation [29], where it further complexes with the plasma protein TTR. CSF RBP concentration has been shown to correlate to those of serum [30]. Serum RBP and retinol have been found to be reduced during acute infection and the decrease is proportional to the extent of the infection [31], suggesting that reduced RBP levels may result from an inflammation in the FTD brain.

Brain TTR is exclusively produced, secreted and regulated by the choroid plexus [3234]. TTR makes up 25% of the total CSF protein content [32] and even higher concentrations exist during prenatal and early postnatal life, indicating an importance of the protein in CNS development [35]. In this study, the levels of two isoforms of TTR were increased in the CSF from FTD patients. To our knowledge, the TTR levels of FTD CSF have not previously been studied, but in AD the CSF levels were decreased in an immunological study, not differentiating between TTR isoforms [36]. In contrast, the direct 2-DE study of the AD proteome [11] showed an increased level of TTR, but of a more acidic isoform, compared to this study. This highlights the capacity of 2-DE to quantify specific isoforms.

One isoform of β-2-m was found increased in this study. Other studies have shown that CSF β-2-m is elevated in patients with various neurological diseases including AD [11], infectious meningoencephalitis [37], neurosarcoidosis [38] and AIDS dementia complex [39]. β-2-m constitutes the non-covalently bound light chain of major histocompatibility complex class I molecule (MHCI) [40]. The MHCI complex is expressed on the surface of all nucleated cells and the association of β-2-m to the MHCI transmembranal chain is an absolute requirement for the antigenic presentation function of the complex [40]. It has been proposed that conformational changes of the MHCI complex, associated with cell injury, can be responsible for increased shedding of β-2-m from the cell membranes with consequent expansion of the circulating β-2-m pool [41].

The function of ZAG is unknown but studies have shown that it is present in several body fluids, including CSF, sweat, saliva, seminal fluid, plasma, milk, amniotic fluid and urine, suggesting a fairly widespread exocrine function of the protein [42]. In this study increased levels of ZAG were found in FTD CSF and to our knowledge, ZAG has not previously been associated with dementia.

The level of ProapoA1 was also increased in this study. Our previous study of the FTD proteome [12] did not show any increase in ProapoA1. Nevertheless, our study of the AD proteome [11] detected reduced levels of 3 isoforms of ProapoA1.

The reason that several protein changes were inconsistent between this and our previous study of the FTD proteome may be explained by the fact that a smaller sample size and a different population of FTD patients, which is a rather heterogeneous disease, were used in this study. Due to the small sample size it must also be emphasized that the protein changes found in this study are preliminary. Moreover, direct and prefractionated 2-DE are still two different proteomic approaches and a somewhat different analytical window was not unexpected. Indeed, direct and prefractionated 2-D gels show different protein patterns, for example, the apolipoprotein E and apolipoprotein J isoforms seem to be missing in the prefractionated 2-D gels, which may be explained by the fact that lipoproteins tend to adhere to plastics [43] and could be lost during LP-IEF or additional sample transfer steps in the prefractionation procedure. However, the lipoprotein, ProapoA1 could still be detected in the prefractionated 2-D gels. The proteins most likely to be favored by a prefractionation step are low abundant hydrophilic proteins, which most likely are present in CSF. Nevertheless, this investigation of the FTD proteome failed to detect any very low abundant brain specific proteins.

As shown in the present study, the levels of specific isoforms are altered and these are unlikely to be detected using methods measuring the total concentration of a protein. Therefore, determination of posttranslational modifications is of importance for understanding the neuropathology in FTD, and 2-DE is a useful method for sensitive detection of different protein isoforms.


We have shown that the prefractionated 2-DE method is reproducible to the same extent as traditional 2-DE and can enrich CSF proteins in the gel. This approach may offer new perspectives on the pathology of neurodegenerative diseases. Prefractionated 2-DE analysis of FTD CSF proteins confirmed some of the proteins previously detected by direct 2-DE and revealed some new biomarker candidates. The protein changes should be further validated on a larger patient material, preferably also with complementary methods, in order to assess any of the proteins potential as biomarkers for FTD.


CSF samples

CSF samples were obtained from the Clinical Neurochemical Laboratory (Sahlgrenska University Hospital/ Mölndal). All CSF samples had a normal white-cell count, normal blood-brain barrier function and absence of intrathecal IgG and IgM production. The CSF samples for the proteomic study, described in table 2, were obtained from 5 FTD patients aged 70.6 ± 5.6 (mean ± SD) years and 5 non-dementia controls aged 59.2 ± 11.9 years (mean ± SD). FTD was diagnosed according to the Lund Manchester criteria [4]. The severity of dementia was evaluated using the Mini Mental State Examination (MMSE) [44]. The control group, "non-demented controls" consisted of subjects with minor psychiatric complaints or subjective memory complaints that could not be verified by clinical examination, CSF analysis or neuropsychological testing. All control individuals had MMSE scores of 29–30. Lumbar puncture was performed in the L4–L5 vertebral interspace. The first 12 mL of CSF was collected and gently mixed to avoid possible gradient effects. The CSF samples were then centrifuged at 2,000 g for 10 min to eliminate cells and other insoluble material, and stored at -80°C.

Table 2 CSF samples included in the prefractionated 2-DE study

The study was approved by the Ethical Committee of Göteborg University. All participants or their relatives gave their informed consent to participation in the study, which was performed in accordance with the Declaration of Helsinki.

Purification and precipitation methods

To find a method for effective reduction of impurities and maximal protein recovery, 300 μL of prefractionated pooled CSF samples (fraction 6–9, pH 4.5–6.0) were purified using each of the following methods:

  1. 1.

    Ice cold acetone precipitation; acetone: sample (4:1, v/v) precipitated at -20°C for 2 hours.

  2. 2.

    Ice cold acetone-TCA precipitation; 2a) acetone: TCA: sample (4:10%:1, v/w/v) at -20°C for 45 min. 2b) acetone: TCA: sample (4:20%:1, v/w/v) at -20°C for 45 min. The protein pellet was washed 2 times with acetone after centrifugation.

  3. 3.

    Chloroform/methanol/water precipitation, chloroform: methanol: sample (4:8:3, v/v/v) at room temperature for 2 hours.

  4. 4.

    Ice cold ethanol precipitation; final concentrations of 60%, 70% and 80% ethanol was added to the sample and precipitated for 2 hours at -20°C.

  5. 5.

    Purification using micro Bio-Spin column (Bio-Rad, Hercules, CA, USA) with a MW cut off of 6 kDa. The purification procedure w two-dimensional electrophoresis (2-DE) as performed according to the manufacturer's instructions.

After precipitation all samples were centrifuged and the protein pellet analyzed on 2-D gels, described below.

The protein recovery of acetone and ethanol treated samples was measured using the RC DC protein assay (Bio-Rad) according to the manufacturer's instructions.

Prefractionation, sample preparation and 2-DE procedure

The CSF samples from individual patients were prefractionated using LP-IEF in the Rotofor cell (Bio-Rad). Three mL CSF sample was mixed with 9 mL millipore water, 1% ampholytes (Servalyte pH range 3–10, Serva Electrophoresis, GmbH, Germany), 20 mM dithiothreitol (DTT) and 1 × Complete antiprotease solution (Roche Diagnostics, Mannheim, Germany). The focusing was performed at 4°C and at 12 W constant power for 2.5 hours. Then the 20 Rotofor fractions were harvested and fraction 2–5 corresponding to pH 1.5–4.5, fraction 6–9 corresponding to pH 4.5–6.0 and fraction 10–14 corresponding to pH 6.0–7.5 were pooled and concentrated to 300 μL in a vacuum centrifuge prior to 2-DE.

In the FTD-study, the prefractionated pooled protein fractions were precipitated using 900 μL 95 % ice-cold ethanol (71.25% final conc. ethanol) for two hours at -20°C. The mixture was centrifuged at 10,000 × g for 10 min at 4°C. The protein pellets were air-dried and then resolved in a buffer containing 9 M urea, 35 mM tris, 42 mM DTT, 2% 3-((3-cholamidopropyl) dimethylammonio)-1-propanesulfonate (CHAPS), 0.66% sodium dodecyl sulfate (SDS), 2% IPG buffer and bromophenol blue.

The first dimension was carried out using immobilized pH gradient (IPG) strips (Bio-Rad), 7 cm, pH 3–6 for Rotofor fractions 2–5, pH 4–7 for Rotofor fractions 6–9 or pH 5–8 for Rotofor fractions 10–14. The IPG-strips were actively rehydrated in the CSF-protein sample for 12 h at 50 V followed by protein focusing for 20,000 Vh using the Protean IEF Cell (Bio-Rad). The IPG strips were placed in 5 ml equilibration solution (50 mM Tris-HCl pH 8.8, 6 M urea, 30% glycerol, 2% SDS, bromophenol blue) containing 1% DTT, and 2.5% iodoacetamide in the second equilibrium step for 2 × 15 min.

The second dimension was performed using the Nu-PAGE gel system (NOVEX, San Diego, CA, USA) with (2-(N-morpholino) ethane sulfonic acid (MES) buffer: 50 mM MES, 50 mM tris, 3.5 mM SDS, 1 mM EDTA), for 35 min at 200 V.

In the direct 2-DE procedure, 300 μL CSF proteins were precipitated using 900 μL ice-cold acetone and stored for two hours at -20°C. The mixture was then centrifuged at 10,000 × g for 10 min at 4°C. The 2-DE procedure was performed as described above for prefractionated 2-DE.

Visualisation and evaluation

The gels were stained using SYPRO Ruby Protein Stain (Molecular-Probes, Eugene, Oregon, USA) according to the manufacturer's instructions. Image acquisition and analysis were performed on a Fluor-S MultiImager (Bio-Rad). The protein spots were detected, quantified and matched with the PD-Quest 2-D gel analysis software, v.7.0 (Bio-Rad). The gels were normalized according to the total quantity in valid spots (the raw quantity of each spot in a member gel is divided by the total quantity of all the spots in that gel that have been included in the Master gel). Protein levels increased or decreased two fold were taken into account.

In-gel tryptic digestion and sample preparation

The protein digestion method has been previously described in detail [11]. Briefly, the gel pieces were digested with porcine trypsin (Promega Corporation, Madison, USA) and the peptides were extracted with formic acid (FA) and acetonitrile (ACN). The digested protein sample was dried under vacuum and then dissolved in 10 μL 0.2% triflouroacetic acid (TFA) (v/v). The samples were applied to the MS probe using the AnchorChip™ technology (Bruker daltonics, Bremen, Germany) as previously described [45]. Briefly α-cyano-4-hydroxy-cinnamic acid (CHCA) solution (100 g/L in 90% acetone, 0.005 % TFA) was spread out evenly on the sample plate surface creating the CHCA matrix layer. Then 2μL of the protein sample solution was applied to each anchor spot. After 2 min, the remaining liquid was removed by absorption using a paper tissue.

Mass spectrometry and database searching

Matrix assisted laser desorption/ionization time-of-flight (MALDI-TOF) MS analysis was performed using an upgraded Reflex II MALDI-TOF MS (Bruker-Franzen Analytik GmbH, Bremen, Germany) equipped with a two-stage electrostatic reflectron, a delayed extraction (time-lag-focusing) ion source, a high resolution reflector detector and a 2 GHz digitizer. The spectra were acquired in the reflection mode at an accelerating voltage of 20 kV. The mass spectra, acquired and analyzed using Bruker software, were initially calibrated by external calibration using a mixture of known peptides and later recalibrated using two auto digestion products of porcine trypsin as internal calibrants. The protein database search tool "MASCOT Peptide Mass Fingerprint" on the Matrix Science web site [46] was used to compare the monoisotopic m/z values of the tryptic fragments to those of known proteins in the NCBI database. A mass deviation of 100 ppm was tolerated and Homo sapiens was specified.

Statistical analysis

Coefficient of variation (CV) was calculated (standard deviation (SD)/ Mean × 100) of the normalized protein spot densities from four replicate 2-D gels.

In the proteomic study a 2-fold increase or decrease of normalized protein quantities was taken into account.


  1. Snowden JS, Neary D, Mann DM: Frontotemporal dementia. Br J Psychiatry 2002, 180: 140–3. 10.1192/bjp.180.2.140

    Article  PubMed  Google Scholar 

  2. Ratnavalli E, Brayne C, Dawson K, Hodges JR: The prevalence of frontotemporal dementia. Neurology 2002, 58: 1615–21.

    Article  CAS  PubMed  Google Scholar 

  3. Pasquier F, Grymonprez L, Lebert F, Van der Linden M: Memory impairment differs in frontotemporal dementia and Alzheimer's disease. Neurocase 2001, 7: 161–71. 10.1093/neucas/7.2.161

    Article  CAS  PubMed  Google Scholar 

  4. Clinical and neuropathological criteria for frontotemporal dementia. The Lund and Manchester Groups J Neurol Neurosurg Psychiatry 1994, 57: 416–8.

  5. Hutton M, Lendon CL, Rizzu P, Baker M, Froelich S, Houlden H, Pickering-Brown S, Chakraverty S, Isaacs A, Grover A, Hackett J, Adamson J, Lincoln S, Dickson D, Davies P, Petersen RC, Stevens M, de Graaff E, Wauters E, van Baren J, Hillebrand M, Joosse M, Kwon JM, Nowotny P, Che LK, Norton J, Morris JC, Reed LA, Trojanowski J, Basun H, Lannfelt L, Neystat M, Fahn S, Dark F, Tannenberg T, Dodd PR, Hayward N, Kwok JBJ, Schofield PR, Andreadis A, Snowden J, Craufurd D, Neary D, Owen F, Oostra BA, Hardy J, Goate A, van Swieten J, Mann D, Lynch T, Heutink P: Association of missense and 5'-splice-site mutations in tau with the inherited dementia FTDP-17. Nature 1998, 393: 702–5. 10.1038/31508

    Article  CAS  PubMed  Google Scholar 

  6. Sjogren M, Minthon L, Davidsson P, Granerus AK, Clarberg A, Vanderstichele H, Vanmechelen E, Wallin A, Blennow K: CSF levels of tau, beta-amyloid(1–42) and GAP-43 in frontotemporal dementia, other types of dementia and normal aging. J Neural Transm 2000, 107: 563–79. 10.1007/s007020070079

    Article  CAS  PubMed  Google Scholar 

  7. Blennow K, Wallin A, Agren H, Spenger C, Siegfried J, Vanmechelen E: Tau protein in cerebrospinal fluid: a biochemical marker for axonal degeneration in Alzheimer disease? Mol Chem Neuropathol 1995, 26: 231–45.

    Article  CAS  PubMed  Google Scholar 

  8. Arai H, Morikawa Y, Higuchi M, Matsui T, Clark CM, Miura M, Machida N, Lee VM, Trojanowski JQ, Sasaki H: Cerebrospinal fluid tau levels in neurodegenerative diseases with distinct tau-related pathology. Biochem Biophys Res Commun 1997, 236: 262–4. 10.1006/bbrc.1997.6908

    Article  CAS  PubMed  Google Scholar 

  9. Rosengren LE, Karlsson JE, Sjogren M, Blennow K, Wallin A: Neurofilament protein levels in CSF are increased in dementia. Neurology 1999, 52: 1090–3.

    Article  CAS  PubMed  Google Scholar 

  10. Sjogren M, Rosengren L, Minthon L, Davidsson P, Blennow K, Wallin A: Cytoskeleton proteins in CSF distinguish frontotemporal dementia from AD. Neurology 2000, 54: 1960–4.

    Article  CAS  PubMed  Google Scholar 

  11. Davidsson P, Westman-Brinkmalm A, Nilsson CL, Lindbjer M, Paulson L, Andreasen N, Sjogren M, Blennow K: Proteome analysis of cerebrospinal fluid proteins in Alzheimer patients. Neuroreport 2002, 13: 611–5. 10.1097/00001756-200204160-00015

    Article  CAS  PubMed  Google Scholar 

  12. Davidsson P, Sjogren M, Andreasen N, Lindbjer M, Nilsson CL, Westman-Brinkmalm A, Blennow K: Studies of the pathophysiological mechanisms in frontotemporal dementia by proteome analysis of CSF proteins. Brain Res Mol Brain Res 2002, 109: 128–33. 10.1016/S0169-328X(02)00549-1

    Article  CAS  PubMed  Google Scholar 

  13. Yuan X, Russell T, Wood G, Desiderio DM: Analysis of the human lumbar cerebrospinal fluid proteome. Electrophoresis 2002, 23: 1185–96. Publisher Full Text 10.1002/1522-2683(200204)23:7/8<1185::AID-ELPS1185>3.0.CO;2-G

    Article  CAS  PubMed  Google Scholar 

  14. Sickmann A, Dormeyer W, Wortelkamp S, Woitalla D, Kuhn W, Meyer HE: Towards a high resolution separation of human cerebrospinal fluid. J Chromatogr B Analyt Technol Biomed Life Sci 2002, 771: 167–96. 10.1016/S1570-0232(01)00626-2

    Article  CAS  PubMed  Google Scholar 

  15. Choe LH, Dutt MJ, Relkin N, Lee KH: Studies of potential cerebrospinal fluid molecular markers for Alzheimer's disease. Electrophoresis 2002, 23: 2247–51. 10.1002/1522-2683(200207)23:14<2247::AID-ELPS2247>3.0.CO;2-M

    Article  CAS  PubMed  Google Scholar 

  16. Davidsson P, Folkesson S, Christiansson M, Lindbjer M, Dellheden B, Blennow K, Westman-Brinkmalm A: Identification of proteins in human cerebrospinal fluid using liquid-phase isoelectric focusing as a prefractionation step followed by two-dimensional gel electrophoresis and matrix-assisted laser desorption/ionisation mass spectrometry. Rapid Commun Mass Spectrom 2002, 16: 2083–8. 10.1002/rcm.834

    Article  CAS  PubMed  Google Scholar 

  17. Badock V, Steinhusen U, Bommert K, Otto A: Prefractionation of protein samples for proteome analysis using reversed-phase high-performance liquid chromatography. Electrophoresis 2001, 22: 2856–64. 10.1002/1522-2683(200108)22:14<2856::AID-ELPS2856>3.0.CO;2-U

    Article  CAS  PubMed  Google Scholar 

  18. Corthals GL, Molloy MP, Herbert BR, Williams KL, Gooley AA: Prefractionation of protein samples prior to two-dimensional electrophoresis. Electrophoresis 1997, 18: 317–23.

    Article  CAS  PubMed  Google Scholar 

  19. Corthals GL, Wasinger VC, Hochstrasser DF, Sanchez JC: The dynamic range of protein expression: a challenge for proteomic research. Electrophoresis 2000, 21: 1104–15. 10.1002/(SICI)1522-2683(20000401)21:6<1104::AID-ELPS1104>3.3.CO;2-3

    Article  CAS  PubMed  Google Scholar 

  20. Wiederkehr F, Bueler MR, Wacker M, Vonderschmitt DJ: Study of human cerebrospinal fluid proteins by size exclusion-high performance liquid chromatography and two-dimensional gel electrophoresis. Electrophoresis 1989, 10: 480–8.

    Article  CAS  PubMed  Google Scholar 

  21. Zuo X, Speicher DW: A method for global analysis of complex proteomes using sample prefractionation by solution isoelectrofocusing prior to two-dimensional electrophoresis. Anal Biochem 2000, 284: 266–78. 10.1006/abio.2000.4714

    Article  CAS  PubMed  Google Scholar 

  22. Lollo BA, Harvey S, Liao J, Stevens AC, Wagenknecht R, Sayen R, Whaley J, Sajjadi FG: Improved two-dimensional gel electrophoresis representation of serum proteins by using ProtoClear. Electrophoresis 1999, 20: 854–9. 10.1002/(SICI)1522-2683(19990101)20:4/5<854::AID-ELPS854>3.0.CO;2-6

    Article  CAS  PubMed  Google Scholar 

  23. Anderson NL, Nance SL, Tollaksen SL, Giere FA, Anderson NG: Quantitative reproducibility of measurments from Coomassie Blue-stained two-dimensional gels: Analysis of mouse liver protein patterns and a comparison of BALB/c and C57 strains. Electrophoresis 1985, 6: 592–599.

    Article  CAS  Google Scholar 

  24. Giometti CS, Gemmell MA, Tollaksen SL, Taylor J: Quantitation of human leukocyte proteins after silver staining: a study with two-dimensional electrophoresis. Electrophoresis 1991, 12: 536–43.

    Article  CAS  PubMed  Google Scholar 

  25. Terry DE, Desiderio DM: Between-gel reproducibility of the human cerebrospinal fluid proteome. Proteomics 2003, 3: 1962–79. 10.1002/pmic.200300463

    Article  CAS  PubMed  Google Scholar 

  26. Nishihara JC, Champion KM: Quantitative evaluation of proteins in one- and two-dimensional polyacrylamide gels using a fluorescent stain. Electrophoresis 2002, 23: 2203–15. 10.1002/1522-2683(200207)23:14<2203::AID-ELPS2203>3.0.CO;2-H

    Article  CAS  PubMed  Google Scholar 

  27. Chang J, Van Remmen H, Cornell J, Richardson A, Ward WF: Comparative proteomics: characterization of a two-dimensional gel electrophoresis system to study the effect of aging on mitochondrial proteins. Mech Ageing Dev 2003, 124: 33–41. 10.1016/S0047-6374(02)00167-7

    Article  CAS  PubMed  Google Scholar 

  28. Ma J, Stoter G, Verweij J, Schellens JH: Comparison of ethanol plasma-protein precipitation with plasma ultrafiltration and trichloroacetic acid protein precipitation for the measurement of unbound platinum concentrations. Cancer Chemother Pharmacol 1996, 38: 391–4. 10.1007/s002800050501

    Article  CAS  PubMed  Google Scholar 

  29. Ronne H, Ocklind C, Wiman K, Rask L, Obrink B, Peterson PA: Ligand-dependent regulation of intracellular protein transport: effect of vitamin a on the secretion of the retinol-binding protein. J Cell Biol 1983, 96: 907–10. 10.1083/jcb.96.3.907

    Article  CAS  PubMed  Google Scholar 

  30. Zheng W, Lu YM, Lu GY, Zhao Q, Cheung O, Blaner WS: Transthyretin, thyroxine, and retinol-binding protein in human cerebrospinal fluid: effect of lead exposure. Toxicol Sci 2001, 61: 107–14. 10.1093/toxsci/61.1.107

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  31. Arroyave G, Calcano M: [Decrease in serum levels of retinol and its binding protein (RBP) in infection]. Arch Latinoam Nutr 1979, 29: 233–60.

    CAS  PubMed  Google Scholar 

  32. Aldred AR, Brack CM, Schreiber G: The cerebral expression of plasma protein genes in different species. Comp Biochem Physiol B Biochem Mol Biol 1995, 111: 1–15. 10.1016/0305-0491(94)00229-N

    Article  CAS  PubMed  Google Scholar 

  33. Herbert J, Wilcox JN, Pham KT, Fremeau RT Jr, Zeviani M, Dwork A, Soprano DR, Makover A, Goodman DS, Zimmerman EA: Transthyretin: a choroid plexus-specific transport protein in human brain. The 1986 S. Weir Mitchell award. Neurology 1986, 36: 900–11.

    Article  CAS  PubMed  Google Scholar 

  34. Wade S, Bleiberg-Daniel F, Le Moullac B: Rat transthyretin: effects of acute short-term food deprivation and refeeding on serum and cerebrospinal fluid concentration and on hepatic mRNA level. J Nutr 1988, 118: 199–205.

    CAS  PubMed  Google Scholar 

  35. Larsen PD, DeLallo L: Cerebrospinal fluid transthyretin in the neonate and blood-cerebrospinal fluid barrier permeability. Ann Neurol 1989, 25: 628–30.

    Article  CAS  PubMed  Google Scholar 

  36. Merched A, Serot JM, Visvikis S, Aguillon D, Faure G, Siest G: Apolipoprotein E, transthyretin and actin in the CSF of Alzheimer's patients: relation with the senile plaques and cytoskeleton biochemistry. FEBS Lett 1998, 425: 225–8. 10.1016/S0014-5793(98)00234-8

    Article  CAS  PubMed  Google Scholar 

  37. Starmans JJ, Vos J, van der Helm HJ: The beta 2-microglobulin content of the cerebrospinal fluid in neurological disease. J Neurol Sci 1977, 33: 45–9. 10.1016/0022-510X(77)90180-0

    Article  CAS  PubMed  Google Scholar 

  38. Oksanen V, Gronhagen-Riska C, Tikanoja S, Somer H, Fyhrquist F: Cerebrospinal fluid lysozyme and beta 2-microglobulin in neurosarcoidosis. J Neurol Sci 1986, 73: 79–87. 10.1016/0022-510X(86)90066-3

    Article  CAS  PubMed  Google Scholar 

  39. Meillet D, Belec L, Celton N, Gervais A, Reboul J, Gentilini M, Delattre J, Schuller E: Intrathecal synthesis of beta 2-microglobulin and lysozyme: differential markers of nervous system involvement in patients infected with human immunodeficiency virus type 1. Eur J Clin Chem Clin Biochem 1993, 31: 609–15.

    CAS  PubMed  Google Scholar 

  40. Townsend A, Bodmer H: Antigen recognition by class I-restricted T lymphocytes. Annu Rev Immunol 1989, 7: 601–24.

    Article  CAS  PubMed  Google Scholar 

  41. Bellotti V, Mangione P, Stoppini M: Biological activity and pathological implications of misfolded proteins. Cell Mol Life Sci 1999, 55: 977–91. 10.1007/s000180050348

    Article  CAS  PubMed  Google Scholar 

  42. Tada T, Ohkubo I, Niwa M, Sasaki M, Tateyama H, Eimoto T: Immunohistochemical localization of Zn-alpha 2-glycoprotein in normal human tissues. J Histochem Cytochem 1991, 39: 1221–6.

    Article  CAS  PubMed  Google Scholar 

  43. Hesse C, Larsson H, Fredman P, Minthon L, Andreasen N, Davidsson P, Blennow K: Measurement of apolipoprotein E (apoE) in cerebrospinal fluid. Neurochem Res 2000, 25: 511–7. 10.1023/A:1007516210548

    Article  CAS  PubMed  Google Scholar 

  44. Folstein MF, Folstein SE, McHugh PR: "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975, 12: 189–98. 10.1016/0022-3956(75)90026-6

    Article  CAS  PubMed  Google Scholar 

  45. Gobom J, Schuerenberg M, Mueller M, Theiss D, Lehrach H, Nordhoff E: Alpha-cyano-4-hydroxycinnamic acid affinity sample preparation. A protocol for MALDI-MS peptide analysis in proteomics. Anal Chem 2001, 73: 434–8. 10.1021/ac001241s

    Article  CAS  PubMed  Google Scholar 

  46. Matrix Science, MASCOT Peptide Mass Fingerprint []

Download references


The authors would like to thank Maria Lindbjer Andersson for excellent technical assistance.

This work was supported by grants from The Swedish Medical Research Council (grants# 12769, 13121), Stiftelsen för Gamla Tjänarinnor, Stockholm, Sweden; Lundgrens Vetenskapsfond, Gothenburg, Sweden; Stohnes stiftelse, Stockholm, Sweden; and Pfannenstills stiftelse, Malmö, Sweden.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Sara Folkesson Hansson.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

SFH carried out all the 2D gel experiments, mass spectrometry analysis, participated in results evaluation and drafted the manuscript.

MP participated in the 2D gel experiments, results evaluation and participated to the manuscript writing.

KB contributed with material and critical reading of the manuscript.

MJ contributed with material and participated in the design of the study.

PD conceived the study, participated in its design and coordination, results analysis and supervised the manuscript writing.

Authors’ original submitted files for images

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hansson, S.F., Puchades, M., Blennow, K. et al. Validation of a prefractionation method followed by two-dimensional electrophoresis – Applied to cerebrospinal fluid proteins from frontotemporal dementia patients. Proteome Sci 2, 7 (2004).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: