|
|
||||||||
Proteomics and Protein Markers |
1 Childrens National Medical Center, Childrens Research Institute, Center for Genetic Medicine, Washington, DC.
2 Developmental and Metabolic Neurology Branch (DMNB), National Institute of Neurologic Disorders and Stroke (NINDS)/National Institutes of Health (NIH), Bethesda, MD.
3 University of Maryland Baltimore County, Department of Chemistry and Biochemistry, Baltimore, MD.
aAddress correspondence to this author at: Childrens National Medical Center, Childrens Research Institute, Center for Genetic Medicine, 111 Michigan Ave, NW, Washington, DC 20010. Fax 202-884-6014; e-mail yhathout{at}cnmcresearch.org.
| Abstract |
|---|
|
|
|---|
Methods: We used 2-dimensional gel electrophoresis/mass spectrometry to compare the cerebrospinal fluid proteome of patients with mutation-confirmed CACH/VWM with that of unaffected controls. We characterized selected spots by in-gel digestion, matrix-assisted laser desorption/ionization time-of-flight tandem mass spectrometry, and nanospray Fourier transform mass spectrometry.
Results: A specific transferrin spot pattern was detected in the CSF samples of the CACH/VWM group (n = 7), distinguishing them from the control group (n = 23) and revealing that patients with CACH/VWM have a deficiency of the asialo form of transferrin usually present in healthy cerebrospinal fluid. The glycopeptide structure, determined from isolated transferrin spots by use of in-gel digestion and extraction, was found to be consistent with earlier reports.
Conclusions: The transferrin isoform abnormality in the cerebrospinal fluid of patients with CACH/VWM appears unique and is a potential clinical diagnostic biomarker. The rapid, efficient diagnosis of this disorder would have a significant impact on clinical studies exploring new strategies for the management and treatment of this disease.
| Introduction |
|---|
|
|
|---|
Cerebrospinal fluid (CSF) is a relatively accessible patient tissue that has historically been used to investigate neurologic disorders of infectious, inflammatory, neoplastic, and degenerative etiology. To a certain degree, CSF is shielded from nonneurologic protein sources by the bloodCSF barrier and has a relatively slow protein turnover. Its close contact with the brains extracellular space makes CSF a very promising source of biomarkers associated with neurologic disorders.
As a result of the development of effective approaches for proteome analysis, an increasing number of candidate biomarkers have been identified recently in the CSF of patients with neurologic disorders, including amyotrophic lateral sclerosis (7), multiple sclerosis(8)(9), CreutzfeldJacob disease(10), primary brain tumors(11), and adult degenerative disorders such as Alzheimer disease(12)(13)(14). Most of these studies used either the conventional 2-dimensional gel electrophoresis (2-DGE)/mass spectrometry (MS) approach or shotgun proteomic approaches in combination with clustering analyses(15)(16). Thus, proteomics is emerging as a reliable tool to screen for disease-associated biomarkers(17)(18)(19), but as yet has had only limited application to pediatric degenerative central nervous system disorders.
In the present study, we used a 2-DGE/MS-based approach to explore possible differences between the CSF proteomes of CACH/VWM patients and controls. We hypothesized that the technique would identify a differential protein pattern between patients affected by CACH/VWM and controls.
| Materials and Methods |
|---|
|
|
|---|
2-dge
The protein concentration in each CSF sample was measured by the Bio-Rad protein assay. Typically, CSF samples had a protein concentration ranging from 0.16 to 0.4 g/L. Aliquots containing 100 µg of total protein were taken from each sample and processed for 2-DGE analysis as follows. Samples were desalted against 10 mmol Tris-HCl (pH 7) on p6 Bio-Spin columns. Each solution was then dried by centrifugation under reduced pressure, after which 180 µL of rehydration buffer (7 mol/L urea, 2 mol/L thiourea, 20 g/L CHAPS, 50 mmol dithiothreitol, and 5 mL/L ampholytes, pH 310) was added to the dry sample to solubilize and denature the proteins. First-dimension electrofocusing was performed on IPG strips (11 cm; pH 310) in an electrofocusing chamber (Bio-Rad) operated as follows: 12 h of rehydration, 250 V for 15 min, 1000 V for 1 h, and 10 000 V for 4 h. The second-dimension sodium dodecyl sulfatepolyacrylamide gel electrophoresis was performed on Criterion Tris-HCl (8%16%) precast gels (Bio-Rad). Protein spots were visualized by use of Bio-Safe Coomassie stain (Bio-Rad). The gel was then scanned on a GS800 densitometer (Bio-Rad) and imaged as a TIFF file. The resulting gels arrays were compared by PDQuest 2-DGE image analysis software (Bio-Rad), and the volumes and intensities of spots of interest were determined.
ms analysis
Protein spots were excised with the tip of a clean polypropylene pipette and transferred to a microcentrifuge tube containing 100 µL of deionized water. The bands were destained by 23 washes with 100 µL of acetonitrilewater (50:50 by volume). Tryptic digestion was performed as described previously (21). The peptides were extracted, dried by vacuum centrifugation, redissolved in 10 µL of 1 mL/L trifluoroacetic acid (TFA), and desalted by use of C18 ZipTip micropipette tips (Millipore) according to the manufacturers User Guide. The peptides were eluted from the ZipTip in 10 µL of acetonitrile1 mL/L TFA (70:30 by volume). Typically, 0.3 µL of peptide solution was mixed with 0.3 µL of matrix solution [50 mmol
-cyano-4-hydroxycinnamic acid in acetonitrile1 mL/L TFA (70:30 by volume)] and spotted on the matrix-assisted laser desorption/ionization (MALDI) plate.
MS and tandem MS (MS/MS) analyses were performed on a 4700 ABI TOF-TOF mass spectrometer (Applied Biosystems) equipped with an Nd:YAG 200 Hz laser. The instrument was operated with delayed extraction in reflectron-positive ion mode. A mixture of standard peptides was used to externally calibrate the instrument. Protein identification was carried out with GPS explorer software (Applied Biosystems). Both MS and MS/MS data were used for protein identification. To detect intact glycopeptides with high molecular masses, the 4700 ABI instrument was operated in linear positive mode and tuned for masses of 2000 and 10 000 Da.
Accurate mass measurements were obtained by nanospray (22) on an Apex III Fourier transform mass spectrometer (FTMS)(23)(24) (Bruker Daltonics) equipped with a 7.0 T active shielded superconducting magnet and an Apollo atmospheric pressure ionization source. The home-built heated-metal desolvation capillary was kept at 120150 °C. Each experiment was performed in positive ion mode and required loading 510 µL of analyte solution into a freshly pulled borosilicate needle, while a platinum wire was inserted from the back end to provide the necessary nanospray voltage. All data were acquired in broadband mode and processed by Bruker XMASS 6.0.1 software. MS/MS experiments were carried out by isolating the precursor ion of interest using correlated RF sweeps (CHEF)(25) followed by activation through sustained off-resonance irradiation (SORI) against an argon background to obtain collision-induced dissociation (CID).
characterization of the glycopeptides
Glycopeptides were tentatively characterized with a GlycoMod tool (http://us.expasy.org/tools/glycomod) by entering the observed masses (using a mass accuracy better than 10 ppm) and selecting predicted sugar moieties.
The identity of target glycopeptides was further confirmed through controlled digestion with exopeptidase and exoglycosidase. Briefly, aliquots from the in-gel digest described above were dried by vacuum centrifugation and redissolved in 10 mmol ammonium bicarbonate (pH 7.4). Selected aliquots were treated with
-23,6,8,9-neuraminidase (Calbiochem) to induce hydrolysis of sialic acid-containing peptides. The remaining aliquots were treated with carboxypeptidase Y (Roche Diagnostics) to verify the identity of the peptide backbone. All reactions were monitored by MALDI time-of-flight tandem MS (MALDI-TOF-TOF) in linear positive mode as described above.
| Results |
|---|
|
|
|---|
1-acidic glycoprotein were found to vary considerably among 4 different samples, and although this protein was abundant in the CSF of patient CACH/VWM1, it was almost undetectable in patient CACH/VWM2. Conversely, apolipoprotein-A1 was readily detected in the CSF of patient CACH/VWM2 but was almost undetectable in the other CSF samples. This person-to-person variability renders conclusions difficult when only a small number of samples are investigated.
|
Careful analysis of the 2-DGE spot patterns of a larger number of samples (7 patients and 23 controls) led to the detection of a unique pattern in CSF of CACH/VWM patients that was not present in the controls. This pattern consisted of a variation in the composition of transferrin isoforms from CACH/VWM patients vs controls: the control CSF provided 68 spots of transferrin with pI values ranging from 5.5 to 6.5, whereas the patient CSF showed a greater intensity of spots with more acidic pI values (pI 5.56) and a lower intensity of spots with more basic pI values (pI 66.5) than the controls (Fig. 1
). These 2 different patterns were reproduced among all samples from controls and CACH/VWM patients, respectively (Fig. 2
). In all patient samples, there were fewer basic transferrin spots than in control samples.
|
The number of samples analyzed was definitively sufficient to exclude the possibility that the observed differences between 7 VWM and 23 controls were caused by random events. In addition, CSF samples from 2 additional patients suspected to have VWM were analyzed and found to have spot patterns that were clearly closer to the control cluster. Independent diagnosis based on gene sequencing showed that these 2 patients did not actually have the known mutation for VWM. This experiment could be considered a blinded test and shows the robustness of our candidate biomarker.
characterization of gel-separated transferrin isoforms
The isolated transferrin isoforms were subsequently analyzed by use of a well-established mass fingerprinting strategy (21). Tryptic peptides generated by in-gel digestion of the different spots were shown by reflectron MALDI-TOF-TOF analysis to cover
69% of the protein sequence (Table 1
). However, examination of the detected peptides vs the known sequence of human transferrin (Swiss-Prot accession no. P02787) revealed that the maps of both acidic and basic isoforms were missing regions encompassing the known glycosylation sites (Asn432 and Asn630; Table 1
). Switching the detection mode from reflectron TOF-TOF to linear TOF afforded detection of a greater number of peaks with higher masses (Fig. 3
), which we presumed could include extensive carbohydrate structures. These experiments differentiated 2 groups of isoforms corresponding either to the acidic spots S1, S2, and S3 or to the basic spots S4, S5, and S6 (Fig. 3
, top panel). In particular, the acidic isoforms were characterized by signals with m/z ratios of 4431 and 4723 that were not detected in the basic group, and conversely, a peak was observed at m/z 4163 for the basic group that was not detected for the acidic group (Fig. 3
). No significant differences were noted for within-group comparisons of S1, S2, and S3 or S4, S5, and S6.
|
|
|
Neuraminidase treatment of the larger tryptic products caused prompt elimination of the peaks at m/z 4723 and 4431, whereas m/z 4163 remained unaffected (Fig. 3
, bottom panel). This enzymatic reaction confirmed the presence of sialic acid moieties in the acidic isoforms, a finding that was consistent with the isoelectric focusing migration of their corresponding electrophoretic spots. Furthermore, the observation of a new single peak at m/z 4139, which accompanied the disappearance of both m/z 4723 and 4431 after neuraminidase treatment, suggests the possible presence of either 2 or 1 sialic acid molecules in 2 individual glycopeptides sharing the same peptide backbone The peptide at m/z 4163 generated from the most basic transferrin spots did not seem to contain any sialic acid residues, and its mass remained unchanged even after prolonged treatment with neuraminidase.
Image analysis of the 2-DGE patterns by PDQuest provided a determination of the ratio of asialo- vs sialotransferrin in each sample. In the control samples analyzed in this study, asialotransferrin represented 8%35% of the total CSF transferrin (mean, 19.2%; 95% confidence interval, 16.6%21.7%), whereas it amounted to 0.5%5% of total transferrin (mean, 2.5%, 95% confidence interval, 2.2% to 7.2%) in CACH/VWM samples. The ratios of asialo- to sialotransferrin in the control and CACH/VWM samples were statistically significantly different [t(28) = 6.42; P <0.0001]. When the control group was limited to the 5 patients with non-CACH/VWM leukodystrophies (Alexander disease, X-linked adrenoleukodystrophy, white matter disease with chromosomal disorder, or hypomyelination), asialotransferrin represented 14%25% of the total CSF transferrin (see the scatter plot in the Data Supplement that accompanies the online version of this article at http://www.clinchem.org/content/vol51/issue11/ ); the ratio remained statistically significant [t(10) = 8.88; P <0.0001]. In agreement with the image analysis data, estimates based on the MS analysis of tryptic digests suggested asialoglycopeptide concentrations that were 810 times lower in patients than in controls (data not shown).
structural characterization of glycopeptides generated from gel-separated transferrin isoforms
Mass measurements were obtained by nanospray-FTMS analysis for each of the glycopeptides of interest (Fig. 4
). Multiply charged signals were readily observed for the sialo form at m/z 1573.97 (3+), 1466.38 (4+), 1434.61 (4+), 1227.24 (3+), and 1180.72 (4+). No corresponding signals were detected for possible products generated by the asialo form (as determined by neuraminidase treatment). On the other hand, species at m/z 1388.23 (3+) and 1347.08 (2+) were observed only for the asialo form and not for the sialo form. The observed monoisotopic molecular masses obtained from these signals were used in the GlycoMod Tool (http://us.expasy.org/tools/glycomod/) to predict the putative structures of the corresponding glycopeptides
(Table 2
). A mass accuracy of 10 ppm or better allowed us to minimize the incidence of possible false-positive identification.
|
|
These data suggest that acidic transferrins (sialotransferrins) are likely to include both Asn432 and Asn630 bearing the same biantennary carbohydrate structure composed of 2 N-acetylglucosamine (GlcNAc), 3 mannose (Man), 2 GlcNAc, 2 galactose (Gal), and 2 N-acetylneuraminic acid (NeuNAc; sialic acid; see structure in Table 2
). On the other hand, basic transferrins (asialotransferrins) appear to contain a completely different form of carbohydrate side chain attached to Asn630, corresponding to an N-linked biantennary structure composed of 2 GlcNAc, 3 Man, 3 GlcNAc, and 1 fucose (Fuc; see putative structure in Table 2
). It should be noted that, in agreement with our results, this particular type of glycosylation was described previously for transferrin purified from pooled human CSF samples (28).
Close examination of tryptic digests obtained from several asialotransferrin spots was carried out to further investigate whether the same glycosylation could also be linked to the Asn432 residue. Although no evidence could be gathered to support this hypothesis, a peptide with a monoisotopic mass of 2692.177 Da that was detected in the asialotransferrin spots was completely absent from the corresponding digests of sialotransferrin spots. This peptide was detected only with electrospray ionization-FTMS and not with the MALDI-TOF/MS, and its intensity was too low to confirm its exact structure. However, its mass was in close agreement with that calculated for peptide [421433] with Asn432 modified by an asialocarbohydrate composed of 2 GlcNAc and 5 Man (Table 2
). Although this kind of glycopeptide does occur, and it has been characterized previously in sera of patients with congenital disorders of glycosylation (29), its occurrence in CSF asialotransferrin still needs further investigation.
Generally, the results provided by high-resolution nanospray-FTMS and MALDI-TOF-TOF were in excellent agreement despite the different characteristics of these ionization techniques. An exception was the detection of m/z 4431 in the MALDI spectrum of acidic transferrin, which was not observed by nanospray analysis of the same tryptic digest. However, this signal could be produced by the loss of 1 sialic acid unit (292 Da) from the peptide at m/z 4723 (corresponding to 4718.887 Da by nanospray-FTMS), which is consistent with possible in-source fragmentation processes, as reported previously for glycopeptides generated from digestion of serum transferrin (30). Others have tested several matrix solutions for MALDI-TOF analysis of sialic acidcontaining peptides. It was found that 2',4',6'-trihydroxyacetophenone and 2,5-dihydroxybenzoic acid offered better detection and stability of acidic glycopeptides than did
-cyano-4-hydroxycinnamic acid(31). In our case, the use of dihydroxybenzoic acid produced only a slight improvement in the stability of sialic acidcontaining glycopeptides. In addition, we noticed a general decrease in sensitivity for the higher m/z values, which is typical of dihydroxybenzoic acid vs
-cyano-4-hydroxycinnamic acid.
Further support for the proposed glycopeptide structures was provided by SORI-CID (see Materials and Methods) of selected precursor ions performed on the nanospray-FTMS instrument (Fig. 5
). Most of the fragment ions seen in the 2 spectra corresponded to cleavages occurring in the carbohydrate side chain. In general, larger fragment ions corresponded to the loss of 1 or 2 saccharide moieties from the glycopeptide, and the low-mass ions corresponded to fragments of the carbohydrate side chain. In particular, the sialoglycopeptide (4718.887 Da) produced a recognizable fragment at m/z 292 (Fig. 5
, top panel), which is indicative of the presence of sialic acid in the carbohydrate chain. On the other hand, no trace of this fragment was observed in the spectrum of the asialoglycopeptide (4161.730 Da; Fig. 5
, bottom panel). The very limited amounts of analytes obtained by in-gel digestion afforded CID spectra with low signal-to-noise ratios. The limited availability of CSF fractions did not allow for a comprehensive characterization of the putative glycan forms attached to the different sites.
|
Carboxypeptidase Y treatment followed by MALDI TOF-TOF analysis further confirmed the assignment of the glycopeptide with masses of 4718 Da detected in sialotransferrin spots. The peak signals of glycopeptides with masses of 3680 and 2692 Da were too weak to detect their product after carboxypeptidase treatment (data not shown).
| Discussion |
|---|
|
|
|---|
100 µg of asialotransferrin(28). The same marker glycopeptide was not observed in comprehensive studies of glycosylation of serum transferrin, including studies of patients with congenital disorders of glycosylation whose sera contained abnormal asialotransferrin isoforms(29). Whether this same carbohydrate is also attached to Asn432 remains to be demonstrated. The asialotransferrin samples were found to contain small amounts of a product with an accurate mass of 2692.177 Da, which could possibly contain glycosylated Asn432 (Table 2The origin of both asialo- and sialotransferrin isoforms in CSF is unknown. It is presumed that sialotransferrin may be present in CSF because of a small transfer of serum-derived transferrin across the bloodbrain and bloodCSF barriers. On the other hand, the occurrence of asialotransferrin in CSF is not well understood. In all of the control and non-CACH/VWM samples analyzed in our study, asialotransferrin represented 8%35% of total transferrin, whereas it amounted to only 0.5%5% of the total in CACH/VWM samples (see the table in the online Data Supplement). It has been suggested that asialo forms could result from partial metabolic degradation of the serum sialotransferrin transferred to the brain compartment (33). Others have suggested de novo synthesis by brain cells(28)(34). Hence, we hypothesize that the decrease in CSF asialotransferrin in patients with CACH is attributable either to an abnormal turnover of CSF transferrin or to reduced de novo production from local cells. This decrease in CSF asialotransferrin has, to our knowledge, not been described in any other disorders.
In conclusion, the combination of 2-DGE and MS analysis has allowed us to highlight characteristic and unambiguous variations in the distribution of transferrin isoforms in healthy controls vs individuals with CACH/VWM. Seven of 7 patients with mutation-confirmed CACH/VWM showed low to nearly undetectable amounts of asialotransferrin in their CSF, unlike 23 unaffected controls. This observation is based on a small sample size, and a larger number of patient samples will be needed for full validation of this observation. However, the CSF-transferrin spot patterns proposed in this study may serve as valuable biomarkers for diagnosis or preliminary screening before gene sequencing. The presence of such biomarkers could be used to classify patients with this neurodegenerative disease and could provide the basis for renewed efforts aimed at understanding the underlying pathophysiology of the disorder.
| Acknowledgments |
|---|
| Footnotes |
|---|
| References |
|---|
|
|
|---|
The following articles in journals at HighWire Press have cited this article:
![]() |
A. A. Soler-Garcia, D. Johnson, Y. Hathout, and P. E. Ray Iron-Related Proteins: Candidate Urine Biomarkers in Childhood HIV-Associated Renal Diseases Clin. J. Am. Soc. Nephrol., April 1, 2009; 4(4): 763 - 771. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Vanderver, Y. Hathout, J. Maletkovic, E. S. Gordon, M. Mintz, M. Timmons, E. P. Hoffman, L. Horzinski, F. Niel, A. Fogli, et al. Sensitivity and specificity of decreased CSF asialotransferrin for eIF2B-related disorder Neurology, June 3, 2008; 70(23): 2226 - 2232. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Maletkovic, R. Schiffmann, J. R. Gorospe, E. S. Gordon, M. Mintz, E. P. Hoffman, G. Alper, D. R. Lynch, B. S. Singhal, C. Harding, et al. Genetic and Clinical Heterogeneity in eIF2B-Related Disorder J Child Neurol, February 1, 2008; 23(2): 205 - 215. [Abstract] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |