- Research article
- Open Access
Identification of a novel biomarker candidate, a 4.8-kDa peptide fragment from a neurosecretory protein VGF precursor, by proteomic analysis of cerebrospinal fluid from children with acute encephalopathy using SELDI-TOF-MS
BMC Neurology volume 11, Article number: 101 (2011)
Acute encephalopathy includes rapid deterioration and has a poor prognosis. Early intervention is essential to prevent progression of the disease and subsequent neurologic complications. However, in the acute period, true encephalopathy cannot easily be differentiated from febrile seizures, especially febrile seizures of the complex type. Thus, an early diagnostic marker has been sought in order to enable early intervention. The purpose of this study was to identify a novel marker candidate protein differentially expressed in the cerebrospinal fluid (CSF) of children with encephalopathy using proteomic analysis.
For detection of biomarkers, CSF samples were obtained from 13 children with acute encephalopathy and 42 children with febrile seizure. Mass spectral data were generated by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) technology, which is currently applied in many fields of biological and medical sciences. Diagnosis was made by at least two pediatric neurologists based on the clinical findings and routine examinations. All specimens were collected for diagnostic tests and the remaining portion of the specimens were used for the SELDI-TOF MS investigations.
In experiment 1, CSF from patients with febrile seizures (n = 28), patients with encephalopathy (n = 8) (including influenza encephalopathy (n = 3), encephalopathy due to rotavirus (n = 1), human herpes virus 6 (n = 1)) were used for the SELDI analysis. In experiment 2, SELDI analysis was performed on CSF from a second set of febrile seizure patients (n = 14) and encephalopathy patients (n = 5). We found that the peak with an m/z of 4810 contributed the most to the separation of the two groups. After purification and identification of the 4.8-kDa protein, a 4.8-kDa proteolytic peptide fragment from the neurosecretory protein VGF precursor (VGF4.8) was identified as a novel biomarker for encephalopathy.
Expression of VGF4.8 has been reported to be decreased in pathologically degenerative changes such as Alzheimer's disease, amyotrophic lateral sclerosis (ALS), frontotemporal dementia, and encephalopathy. Thus, the VGF4.8 peptide might be a novel marker for degenerative brain conditions.
Acute encephalopathy is characterized by sudden onset of high fever, lethargy, convulsions, and loss of consciousness, with poor prognoses associated with virus infections including causative viruses such as the influenza virus and other etiologies [1–3]. Given that encephalopathy leads to rapid deterioration and a poor prognosis, early intervention is essential in order to prevent progression of the disease and neurologic complications. However, in the acute period, true encephalopathy cannot easily be differentiated from febrile seizures, especially febrile seizures of the complex type [4–7]. Thus, an early diagnostic marker has been sought to enable early intervention in the disease.
Surface-enhanced laser desorption/ionization time-of-light mass spectrometry (SELDI-TOF MS) technology is currently applied in many fields of the biological and medical sciences, and has been extensively reviewed . SELDI is a chromatography-based mass spectrometry (MS) platform in which proteins are selectively absorbed onto a chemically modified ProteinChip (Bio-Rad Laboratories, Inc., Hercules, CA, USA) array surface prior to the addition of an energy-absorbing matrix solution. The absorbed proteins are subjected to a pulsed laser beam to produce gas-phase ions that are accelerated into a field-free flight tube and separated according to their mass-dependent velocities (mass/charge: m/z). The ability of the selective array surfaces to retain subsets of the proteome allows the analysis of complex biological specimens such as serum, cell lysates, and cerebrospinal fluid. In the present study, SELDI-TOF MS was employed to identify a possible biomarker in cerebrospinal fluid for acute encephalopathy and a proteolytic peptide fragment from the neurosecretory protein VGF precursor was identified as a novel biomarker for encephalopathy.
Definitions of acute encephalopathy and febrile seizures
Acute encephalopathy: The criteria for diagnosis of encephalopathy were 1) impaired consciousness, 2) signs of increased intracranial pressure due to brain edema, 3) convulsions and seizures, 4) slow activity on electroencephalography lasting more than 24 h after acute onset, and 5) no bacteria or fungi on CSF culture [1, 2, 9].
Febrile seizures: Febrile seizures were defined as 1) seizures with fever and impaired consciousness lasting less than 24 h without neurological sequelae, 2) usually occurring between 3 months and 5 years of age, and 3) without evidence of intracranial infection or defined cause [4–7, 9].
Two studies were performed on cerebrospinal fluid (CSF) from patients at the Department of Pediatrics, Nippon Medical School Chiba Hokusoh Hospital. In an initial study (experiment 1) for discovering the new, novel biomarkers, CSF from febrile seizure subjects (n = 28) and patients with encephalopathy (n = 8), including influenza encephalopathy (n = 3), encephalopathy due to rotavirus (n = 1), human herpes virus 6 (n = 1) were used for the SELDI analysis. In a second study (experiment 2) for validating the markers, SELDI analysis was performed on CSF from a second set of febrile seizure subjects (n = 14) and encephalopathy patients (n = 5). Diagnosis was made by at least two pediatric neurologists based on clinical findings, routine examinations described above, and lumber puncture performed at the onset of illness.
All CSF specimens were collected for diagnostic tests and the remaining portions of the specimens were used for SELDI-TOF MS investigation. Following collection, samples were centrifuged at 1500 rpm for 5 min to remove cells, divided into aliquots and immediately frozen on dry ice and stored at -80°C. The Institutional Review Board at Nippon Medical School, Chiba Hokusoh Hospital approved the collection and investigation of samples and written informed consent was obtained from all subjects.
SELDI-TOF MS is a system that enables rapid protein profiling, identification, and characterization from crude biological samples by selective capture of subclasses of proteins with specific physical or biochemical characteristics. The molecular weight as well as the quantity of individual proteins absorbed on each ProteinChip array is then directly assessed by a time-of-flight mass spectrometer, generating quantitative protein mass profiles for individual CSF specimens. Comparative protein expression profile analysis highlights any CSF protein species which are aberrantly expressed in the CSF of encephalopathy patients compared to febrile seizure subjects.
Before analysis of the CSF, experiments were designed to optimize the ProteinChip array conditions for the SELDI-TOF MS proteomics tests. Three chip types, Q10 (strong anion exchange surface), CM10 (weak cation exchange surface), and IMAC30 (metal binding surface) (Bio-Rad), were tested along with a variety of binding/washing conditions, including pH 4.5, 6.5, and 8.0 binding/washing buffers. The ProteinChip array condition that produced optimal results was the Q10 ProteinChip array with 50 mM Tris-HCl, pH 8.0 binding and wash steps, and was therefore used in this study.
For all experiments, a 96-well ProteinChip cassette-compatible bioprocessor was used. The ProteinChip array spot surface was equilibrated with wash buffer (50 mM Tris-HCl, pH 8.0) for 10 min prior to use. CSF specimens were centrifuged and fresh aliquots of the CSF specimens were stored at -80°C. For analysis, these samples were slowly thawed on ice, centrifuged (10000 × g, 4°C, 15 min). Equal amounts of CSF protein (1.5 μg) diluted with 9 volumes of washing buffer were applied to each ProteinChip array spot. ProteinChip arrays were then incubated in a humidity chamber at room temperature for 60 min with shaking at 200 rpm. Unbound proteins were removed by washing three times for 5 min with binding buffer and then briefly washed with HPLC grade water. An energy absorbing molecule (EAM), saturated sinapinic acid (SPA), in a solution containing 50% acetonitrile/5% trifluoroacetic acid, was applied to the ProteinChip array spot surface. The arrays were air dried and proteins captured on individual spots were evaluated using the PBSIIc ProteinChip reader (Bio-Rad). The ProteinChip reader was externally calibrated with protein and peptide standards (Bio-Rad) containing human angiotensin I (1296.5 Da), Fibrinopeptide B (1570.6 Da), porcine Dynorphin A [209-225] (2147.5 Da), human ACTH [1-24] (2933.5 Da), human β-endorphin [61-91] (3465.0 Da), bovine insulin (5733.6 Da), bovine Ubiquitin (8564.8 Da), bovine cytochrome-C (12230.9 Da), bovine superoxide dismutase (15591.4 Da), equine myoglobin (16951.5 Da), bovine β-lactogloburin A (18363.3 Da), horseradish peroxidase (43240.0 Da), bovine albumin (66410 Da), and chicken conalbumin (77490.0 Da) bovine IgG (147300.0 Da). External calibration provided a 0.1% mass accuracy. The ionized proteins were detected and their molecular mass/charge (m/z) ratios determined using time-of-flight mass spectrometry (TOF-MS) analysis with a detection range m/z of 1,570-12,230 for low molecular range, 5,733 to 43,240 for mid range and 16,951-147,300 for high molecular range. The setting for cluster formation at the first pass was set as S/N of 20% in all spectra, and for the second pass S/N was set to 2%. The cluster mass window was set to 0.3%. In one experiment, 713 peaks were identified. The protein concentration in CSF was determined using Bradford methods (Bio-Rad) in a procedure consistent with the manufacturer's instructions.
Protein peaks were analyzed with the ProteinChip Data Manager software version 3.0 (Bio-Rad). Each study was repeated at least twice, with baseline subtraction, spectrum normalization, and peak detection performed using the ProteinChip software.
Data collection and statistical methods
All spectra were externally mass calibrated and peak intensities were normalized using total ion current. The mean peak intensity of the duplicates was used for statistical analysis. Statistical analysis was also performed using the Kruskal-Wallis H test. When differences were significant, the Mann-Whitney U test was used to determine the significance of differences between each group. Uncorrected p values were corrected by multiplying them by the number of comparisons (Bonferroni-Dunn correction) to calculate corrected p values.
Purification of the 4.8-kDa protein
Methodology for purifying the 4.8-kDa protein was developed for on-chip analysis and also scaled up to column chromatography. First, conditions of capture were defined using a combination of various binding/washing buffers (100 mM sodium acetate, pH 4.0 and 5.0; 50 mM sodium phosphate, pH 6.0 and 7.0; and 50 mM Tris-HCl, pH 8.0 and 9.0) and anion exchange (Q10) and cation exchange (CM10) ProteinChip arrays. The 4.8-kDa protein was captured by Q10 ProteinChip arrays with the pH 4.0-8.0 conditions. Then, 500 μl of a CSF sample was mixed with an equal volume of 50 mM sodium acetate buffer (pH 4.0) containing 0.1% octyl glucoside (Wako Chemicals, Osaka, Japan). A 100 μl aliquot of the mixture was passed through an anion exchange column (Q Sepharose Fast Flow, GE Healthcare, Tokyo, Japan) and eluted with 50, 100, 200, 300, 500, and 1000 mM NaCl in 50 mM sodium acetate buffer, pH 4.0 containing 0.1% octyl glucoside. Each reverse phase fraction was analyzed for the presence of the 4.8-kDa peak using NP20 ProteinChip arrays (Bio-Rad). Protein species in reverse phase fractions were concentrated using micro-C18 ZipTip (Millipore, Billerica, MA, USA) following manufacturer's instructions, and reduced and alkylated using iodoacetamide.
Peptide Mass Fingerprint (PMF) analysis of the 4.8-kDa peak
The 4.8-kDa peptide was subjected to peptide mass fingerprinting (PMF) using ProteinChip arrays. Briefly, purified species were applied onto a normal phase ProteinChip array (NP20) and reduced with 5 mM DTT/10 mM NH4HCO3, (pH 8.0) at 70°C. Then, 2 μg/ml of trypsin (Promega, Tokyo, Japan) in 10 mM NH4HCO3 (pH 8.0) was applied and incubated for 2 h at 37°C. Digested peptides were detected using the ProteinChip reader and the data were analyzed using the Mascot search engine.
Identification of the 4.8-kDa peptide by MS/MS analysis
For MS/MS analysis, the purified protein was digested overnight with trypsin at 37°C, desalted with a ZipTip (Millipore) eluted with 2 μl of an aqueous acetonitrile solution (containing 50% acetonitrile (v/v) and 0.1% formic acid), and loaded onto a GlassTip in preparation for quadrupole time-of-flight (Q-TOF) MS analysis. Q-TOF analysis was performed using a MALDI-QSTAR mass spectrometer (Applied Biosystems, Tokyo, Japan) operated in positive mode. The ions corresponding to the tryptic digest peptides from the 4810 m/z species were selected for subsequent collision-induced dissociation, and the resultant fragment ions were analyzed. The resulting MS/MS spectral information was submitted to the Mascot search engine for identification. Among the analyzed peaks, the m/z 1907 peak generated a good fragmentation pattern for the Mascot search. Search parameters and settings for the Mascot identification were as follows: database (NCBInr), taxonomy (Homo sapiens), enzyme (SemiTrypsin), fixed modification (none selected), variable modification (Carbamidomethyl (C)), peptide mass tolerance (± 0.3 Da), peptide tolerance (± 0.3 Da), MS/MS tolerance (± 0.15 Da), peptide charge (+1), monoisotopic and max one missed cleavages. Sixty one matching the ion was identified as gi|17136078, a neurosecretory protein VGF precursor [Homo sapiens] with score of 61 (score > 49 indicates identity) and gi|2244659, a neuro-endocrine specific protein VGF [Homo sapiens] with score of 61 (score > 49 indicates identity).
Patient demographic analysis
For experiment 1, CSF samples were analyzed both from patients with febrile seizure (n = 28) and with encephalopathy (n = 8). There were no statistical differences between the children with acute encephalopathy and with febrile seizure in mean patient age, CSF cell number, total protein, or total sugar content (Table 1). For experiment 2, there were also no statistical differences in mean patient age, CSF cell number, total protein, or sugar content between the patient groups (Table 1).
Experiment 1: Changes of CSF protein/peptide profiles in febrile seizure patients compared to encephalopathy patients
In the first set of experiments (experiment 1), protein/peptide profiles of CSF samples were examined from 28 febrile seizure patients and eight encephalopathy patients (Table 1) using SELDI-TOF mass spectrometry. Fifteen peaks showed clear differences between febrile seizure patients and encephalopathy patients (p < 0.05, data not shown). Among these, six peaks had higher intensity in patients with febrile seizures compared to encephalopathy patients, and nine peaks were higher in patients with encephalopathy compared to febrile seizure patients (data not shown). Among these peaks, the peak at m/z 4810 contributed the most to the separation of the two groups (Figures 1, 2 and 3). Using the Kruskal-Wallis H test and the Mann-Whitney U test to compare the mean signals from both groups, the mean intensity of the m/z 4810 peak was found to be reduced by 39% (p = 0.001).
In experiment 2, the 15 candidate biomarkers from the experiment 1 were analyzed using an independent, albeit smaller, set of CSF samples from 14 febrile seizure patients and five encephalopathy patients (Table 1). Among the 15 peaks which were identified in experiment 1, 14 peaks were identified in experiment 2, but only four peaks showed statistically significant differences (Figure 4 Table 2). Again, as in experiment 1, the peak with an m/z of 4810 contributed the most to the separation of the two groups (Figure 1, 2, 3 and 4). Using the Kruskal-Wallis H test and the Mann-Whitney U test to compare the mean peak intensity from both groups, the mean intensity of the m/z 4810 peak was reduced by 41% (p = 0.005).
Identification of the 4.8-kDa CSF peptide distinguishing patients with febrile seizure from patients with encephalopathy
The 4.8-kDa CSF protein species was purified using anion ion exchange chromatography and reverse-phase high-performance liquid chromatography. The 4.8-kDa peak in the eluted fractions was detected using the Q10 ProteinChip array using the pH 8.0 binding/washing buffer. The 4.8-kDa protein eluted in the 100 and 200 mM NaCl fractions. The 100 and 200 mM NaCl fractions were purified by reverse phase high performance liquid chromatography (HPLC, TSK-GEL Super ODS, Toso, Tokyo, Japan). Fraction numbers 26 and 27 showed the 4.8-kDa peak protein and contained a predominant peak of 4.8 kDa between the 2000- to 10,000-Da range by SELDI analysis (Figures 5 and 6, data not shown). Protein species in reverse phase fractions 26 and 27 were concentrated and identified the protein by tandem mass spectrometry (MS/MS) of tryptic peptides. By single MS analysis, the m/z 1907 tryptic peptide was selected for MS/MS fragmentation and identification using the Mascot Search engine (Figure 7, 8). A Mascot search was performed on the fragmentation pattern from the 1907.8315 peak, and two protein candidates containing the QNALLFAEEEDGEAGAED peptide were identified, both with Mascot protein scores of 61. Because the 4.8-kDa protein was digested with trypsin to generate the m/z 1907 tryptic peptide, and the C-terminal amino acid of the identified peptide was not arginine or lysine as expected from trypsin cleavage, the QNALLFAEEEDGEAGAED sequence is best explained as the C-terminal region of the 4.8-kDa protein. This sequence was matched with equal Mascot scores to neurosecretory protein VGF precursor [Homo sapiens] and neuro-endocrine specific protein VGF [Homo sapiens]. With internal calibrants DynorphinA (2147.50) and human insulin (5807.65), an exact mass of the candidate peak was determined to have an m/z of 4808.35. Peptide mass fingerprint (PMF) analysis was used to distinguish between the two protein candidates identified by MS/MS by comparing predicted tryptic peptides less than 4.8 kDa with QNALLFAEEEDGEAGAED as the C-terminal sequence. MS of the tryptic digest revealed an m/z 4280 peak as predicted from the neurosecretory protein VGF precursor sequence, and no m/z 4337 peak as predicted from neuro-endocrine specific protein VGF sequence (Figure 9). It was therefore concluded that the 4.8-kDa protein is a proteolytic fragment of the neurosecretory protein VGF precursor (Figure 10).
Acute encephalopathy leads to rapid deterioration and a poor prognosis with neurologic complications. For detection of an early diagnostic marker for acute encephalopathy, SELDI-TOF MS was employed to identify possible biomarker candidates for acute encephalopathy in cerebrospinal fluid. A 4.8-kDa proteolytic peptide fragment from the protein of a neurosecretory protein VGF was identified as a novel biomarker for encephalopathy (VGF4.8). From previous literature, other peaks differentially expressed in the experiments in the present study were suggested to be: the double charge of Transthyretin (m/z 6880), which has neuroprotective functions ; Ubiquitin (m/z 8564), which is known to be involved in targeting proteins for degradation ; and Cystatin C 1-8 a truncated form (m/z 12536), which is a cysteine protease inhibitor and plays an important role in regulating extracellular protein homeostasis in the CNS [10, 12]. The identification for these peaks is underway.
VGF4.8 and other similar VGF peptides have been reported in Alzheimer's disease [11, 13–15], amyotrophic lateral sclerosis (ALS) , and frontotemporal dementia . Carrette et al reported that VGEEDEEAAEAEAEAEEAER peptide, which was between the aminoacid 378 to 397 of neurosecretory protein VGF precursor, from the CSF in Alzheimer's disease . This sequence was identical to our identified peptide sequence of VGF protein (Figure 10: double underline). The VGF4.8 peptides in CSF are decreased compared with normal controls in diseases such as Alzheimer's, ALS, and frontotemporal dementia. These diseases showed pathologically degenerative changes as well as encephalopathy, which were specifically investigated in this study. Thus, the VGF4.8 peptide might be a novel marker for degenerative brain conditions with encephalopathy in children.
VGF was first identified as a nerve growth factor (NGF)-regulated transcript in rat PC12 pheochromocytoma cells . In vivo, the VGF mRNA and its encoded protein are selectively synthesized in neuroendocrine and neuronal cells. VGF is regulated by neuronal activity, including long-term potentiation, seizure, injury  and aging . Brain-derived neurotrophic factor (BDNF) and NT-3 can also regulate the expression of VGF in cortical neurons . In Alzheimer's disease, the BDNF mRNA is decreased. This decrease could result in a decrease of synthesis of the VGF precursor protein . In similar situations, such as ALS and frontolateral dementia, progression of neuronal damage probably causes a decrease of neuronal products of VGF and loss of their protective function .
The primary VGF gene product is processed by endoproteolytic cleavages, resulting in a range of VGF peptides . To date, 10 rat VGF peptides and three human VGF peptides have been identified . The VGF4.8 sequence, which was obtained in this study, is rich in paired basic amino acid residues that are potential sites for proteolytic processing or sequence motifs of adjacent basic amino acids (arginine and/or lysine) as potential recognition sites for processing by prohormone convertases . The modified compounds described in the present study are very likely biologically active and not merely incidental fragments .
It can be speculated that either deficiencies of neurotrophic factors or increased neurotrophic consumption in encephalopathy might lead to reduced levels of VGF . Because VGF is essential for feeding behavior and energy expenditure, an enormous number of possible mechanisms whereby a deficiency of VGF might contribute to encephalopathy susceptibility or modify the phenotype of the clinical syndrome of encephalopathy are possible.
We found a 4.8-kDa peptide fragment from a neurosecretory protein VGF precursor (VGF4.8) in CSF was identified as a novel biomarker for encephalopathy using Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). Expression of VGF4.8 has been reported to be decreased in pathologically degenerative changes such as Alzheimer's disease, amyotrophic lateral sclerosis (ALS), and frontotemporal dementia. Thus the VGF4.8 peptide might be a novel marker for degenerative brain conditions. Further investigation into VGF4.8 could provide insight into the mechanism of encephalopathy as well as possible treatment strategies.
amyotrophic lateral sclerosis
brain derived neurotrophic factor
reverse-phase high-performance liquid chromatography
mass/charge ratio: NGF: nerve growth factor
peptide mass fingerprint
- SELDI-TOF MS:
surface-enhanced laser desorption/ionization time-of-flight mass spectrometry
saturated sinapinic acid
- and VGF4.8:
a 4.8-kDa proteolytic peptide fragment of neurosecretory protein VGF precursor.
Mizuguchi M, Yamanouchi H, Ichiyama T, Shiomi M: Acute encephalopathy associated with influenza and other viral infections. Acta Neurol Scand. 2007, 115 (suppl 186): 45-56.
Johnston MV: Acute encephalopathies. Nelson Textbook of Pediatrics. Edited by: Behrman RE, Kliegman RM, Jenson HB. 2004, Tokyo; Saunders, 2023-2029. 17
Sugaya N: Influenza-associated encephalopathy in Japan. Semin Pediatr Infect Dis. 2002, 13: 79-84. 10.1053/spid.2002.122993.
Fishman MA: Febrile Seizures. Oski's Pediatrics Principles & Practice. Edited by: McMillan JA, Feigin RD, DeAngelis C, Jones MD Jr. 2006, Tokyo; Lippincott Williams & Wilkins, 2297-2305. 4
Sankar R, Koh S, Wu J, Menkes JH: Paroxymal disorders. Child Neurology. Edited by: Menkes JH, Sarnat HB, Maria BL. 2006, Tokyo: Lippincott Williams & Wilkins, 919-922. 7
Millichap JG: The definition of febrile seizures. Febrile Seizures. Edited by: Melson KB, Ellenberg JH. 1981, New York: Raven Press, 1-3.
Freeman JM: Febrile seizures: A consensus of their significance, evaluation, and treatment. Pediatrics. 1980, 66: 1009-1012.
Conrads TP, Hood BL, Issaq HJ, Veenstra TD: Proteomic patterns as a diagnostic tool for early-stage cancer; a review of its progress to a clinically relevant tool. Mol Diag. 2004, 77-85. 8
Ichiyama T, Morishima T, Isumi H, Matsufuji H, Matsubara T, Furukawa S: Analysis of cytokine levels and NF-κB activation in peripheral blood mononuclear cells in influenza virus-associated encephalopathy. Cytokine. 2004, 27: 31-37. 10.1016/j.cyto.2004.03.012.
Ranganathan S, Williams E, Ganchev P, Gopalakrishnan V, Lacomis D, Urbinelli L, Newhall K, Cudkowicz ME, Brown RH, Bowser R: Proteomic profiling of cerebrospinal fluid identifies biomarkers for amyotrophic lateral sclerosis. J Neurochem. 2005, 95: 1461-1471. 10.1111/j.1471-4159.2005.03478.x.
Simonsen AH, McGuire J, Hansson O, Zetterberg H, Podust VN, Davies HA, Waldemar G, Minthon L, Blennow K: A novel panel of cerebrospinal fluid biomarkers for the prediction of progression to Alzheimer dementia in patients with mild cognitive impairment. Arch Neurol. 2007, 64: 366-370. 10.1001/archneur.64.3.366.
Simonsen AH, McGuire J, Podust VN, Hagnelius N-O, Nilsson TK, Kapaki E, Vassilopoulos D, Waldemar G: A novel panel of cerebrospinal fluid biomarkers for the differential diagnosis of Alzheimer's disease versus normal aging and frontotemporal dementia. Dement Geriatr Cogn Disord. 2007, 24: 434-440. 10.1159/000110576.
Carrette O, Demalte I, Scheri A, Yalkinoglu O, Corthals G, Burkhard P, Hochstrasser DF, Sanchez JC: A panel of cerebrospinal fluid potential biomarkers for the Alzheimer's disease. Proteomics. 2003, 3: 1486-1494. 10.1002/pmic.200300470.
Selle H, Lamerz J, Buerger K, Dessauer A, Hager K, Hampel H, Karl J, Kellmann M, Lannfelt L, Louhija J, Riepe M, Rollinger W, Tumani H, Schrader M, Zucht HD: Identification of novel biomarker candidates by differential peptidomics analysis of cerebrospinal fluid in Alzheimer's disease. Combinatorial Chemistry and High Throughput Screening. 2005, 8: 801-806. 10.2174/138620705774962391.
Simonsen AH, McGuire J, Podust VN, Davies H, Minthon L, Skoog I, Andreasen N, Wallin A, Waldemar G, Blennow K: Identification of a novel panel of cerebrospinal fluid biomarkers for Alzheimer's disease. Neurobiology Aging. 2008, 29: 961-968. 10.1016/j.neurobiolaging.2007.01.011.
Pasinetti GM, Ungar LH, Lange DJ, Yemul S, Deng H, Yuan X, Brown RH, Cudkowicz ME, Newhall K, Peskind E, Marcus S, Ho L: Identification of potential CSF biomarkers in ALS. Neurology. 2006, 66: 1-5.
Ruetschi U, Zetterberg H, Podust V, Gottfries J, Li S, Hviid Simonsen A, McGuire J, Karlsson M, Rymo L, Davies H, Minthon L, Blennow K: Identification of CSF biomarkers for frontotemporal dementia using SELDI-TOF. Experimental Neurology. 2005, 19: 273-281.
Sugaya K, Greene R, Personett D, Robbins M, Kent C, Bryan D, Skiba E, Gallagher M, McKinney M: Septo-Hippocampal cholinergic and neurotrophin markers in age-induced cognitive decline. Neurobiol Aging. 1998, 19: 351-361. 10.1016/S0197-4580(98)00072-4.
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None reported. All authors state no honorarium grant, or other form of payment was given to anyone to produce the manuscript.
This study was supported in part by grants from the Ministry of Education, Science, Sports and Culture of Japan.
The authors declare that they have no competing interests.
All authors read and approved the final version of manuscript.
TA had full access to all the data and take responsibility for the integrity of the data and the accuracy of the data analysis. Analysis and interpretation of data, drafting the manuscript, and the decision to the manuscript for publication were made by TA. Study concept and designwere contributed by TA and OF. Study supervision were done by TA, OF and YF. Collection of samples and data were done by SK, AT, TH, KK. Critical revision of the manuscript for important intellectual concept, obtained funding, administrative, technical and material support were done by OF and YF.
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Asano, T., Koizumi, S., Takagi, A. et al. Identification of a novel biomarker candidate, a 4.8-kDa peptide fragment from a neurosecretory protein VGF precursor, by proteomic analysis of cerebrospinal fluid from children with acute encephalopathy using SELDI-TOF-MS. BMC Neurol 11, 101 (2011). https://doi.org/10.1186/1471-2377-11-101
- Amyotrophic Lateral Sclerosis
- Febrile Seizure
- Acute Encephalopathy
- ProteinChip Array
- Octyl Glucoside