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Experimental and Therapeutic Medicine logoLink to Experimental and Therapeutic Medicine
. 2016 Mar 31;11(6):2095–2106. doi: 10.3892/etm.2016.3210

Proteomic analysis of cerebrospinal fluid in amyotrophic lateral sclerosis

YAN CHEN 1, XIAO-HUI LIU 2, JIAN-JUN WU 1, HUI-MING REN 1, JIAN WANG 1, ZHENG-TONG DING 1, YU-PING JIANG 1,
PMCID: PMC4887813  PMID: 27284291

Abstract

The present study used comparative proteomic analysis of cerebrospinal fluid (CSF) in amyotrophic lateral sclerosis (ALS) patients in order to identify proteins that may act as diagnostic biomarkers and indicators of the pathogenesis of ALS. This analysis was performed using isobaric tags for relative and absolute quantitation (iTRAQ) technology, coupled with 2-dimensional liquid chromatography/mass spectrometry. Database for Annotation, Visualization and Integrated Discovery software was utilized for bioinformatic analysis of the data. Following this, western blotting was performed in order to examine the expression of 3 candidate proteins in ALS patients compared with healthy individuals [as a normal control (NC) group] or patients with other neurological disease (OND); these proteins were insulin-like growth factor II (IGF-2), glutamate receptor 4 (GRIA4) and leucine-rich α-2-glycoprotein 1 (LRG1). Clinical data, including gender, age, disease duration and ALS functional rating scale (ALSFRS-R) score, were also collected in the ALS patients. Multiple linear regression analysis was performed between the clinical data and the results of western blot analysis. A total of 248 distinct proteins were identified in the ALS and NC groups, amongst which a significant difference could be identified in 35 proteins; of these, 21 proteins were downregulated and 14 were upregulated. These differentially-expressed proteins were thus revealed to be associated with ALS. The western blot analysis confirmed a proportion of the data attained in the iTRAQ analysis, revealing the differential protein expression of IGF-2 and GRIA4 between the ALS and NC groups. IGF-2 was significantly downregulated in ALS patients (P=0.017) and GRIA4 was significantly upregulated (P=0.016). These results were subsequently validated in the 35-patient ALS and OND groups (P=0.002), but no significant difference was identified in LRG1 expression between these groups. GRIA4 protein expression was higher in male than female patients and was positively correlated with the ALSFRS-R score, meaning that GRIA4 expression was negatively correlated with the severity of ALS, while IGF-2 and LRG1 expression did not correlate with any clinical data. The present study thus demonstrated that GRIA4 expression levels, as a marker of severity, may be used as a reference for the timing of treatment, and that IGF-2 may serve as an effective biomarker of ALS progression.

Keywords: amyotrophic lateral sclerosis, cerebrospinal fluid, isobaric tags for relative and absolute quantitation, proteomics

Introduction

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease specifically affecting the upper and lower motor neurons. Due to frequent early misdiagnosis, patients do not benefit from early drug intervention and clinical drug studies have been largely unsuccessful; a correct, early diagnosis of ALS is therefore crucial.

Such a clinical diagnosis, and study of the pathogenesis of ALS, could occur through analysis of changes to the cerebrospinal fluid (CSF) proteins. Insulin-like growth factor-1, vascular endothelial growth factor, transactive response DNA-binding protein 43, monocyte chemotactic protein 1 and other proteins have been reported as possible diagnostic indicators of ALS (14), but a definitive diagnostic indicator has yet to be established.

CSF quantitative proteomics, including differential in gel electrophoresis (DIGE) and isotope-coded affinity tags, have been reported in studies on Alzheimer's disease and Parkinson's disease (5,6), but have not been widely used to investigate ALS. In 2005, a study by Ranganathan et al (7) was the first to investigate the CSF in ALS patients using surface-enhanced laser desorption/ionization (SELDI) technology and proteomics; three proteins, cystatin C, transthyretin and a carboxy-terminal fragment of the neuroendocrine protein 7B2, were screened and validated for their sensitivity and specificity as biomarkers. Other previous studies examined the CSF of ALS with two-dimensional gel electrophoresis, DIGE and SELDI (8,9), but use of isobaric tags for relative and absolute quantitation (iTRAQ) technology in this context has not been reported, to the best of our knowledge.

The present study compared the CSF protein expression of ALS patients and healthy [normal control [NC] group) patients using iTRAQ labeling and 2-dimensional liquid chromatography/tandem mass spectrometry (2D LC-MS/MS) technology, screened the resulting proteins and verified their differential expression by western blotting, in order to determine the most effective biomarkers for ALS diagnosis.

Patients and methods

Patients

ALS-A group

A total of 35 patients with ALS who presented to Huashan Hospital between March 2008 and October 2010 were selected for the study. Informed consent was obtained from all patients, or their families. Tension headache sufferers were selected as the normal control (NC) group. The other neurological disease (OND) group consisted of patients who, during clinical diagnosis, were subjected to a lumbar puncture; these patients suffered from conditions such as chronic non-inflammatory peripheral neuropathy, Parkinson's disease, spastic paraplegia and hydrocephalus. Patient ages ranged between 30 and 75 years old.

ALS-B group

A total of 10 cases of ALS were randomly selected from the ALS-A group and used to screen additional proteins.

CSF sample collection

Under fasting conditions, each patient was treated with the 2 ml local anesthetic lidocaine hydrochloride injection (2%; Shanghai Harvest Pharmaceutical Co., Ltd., Shanghai, China) and subjected to a lumbar puncture, from which 8–10 ml of CSF was collected. A volume of 4–5 ml of CSF was immediately centrifuged at 2,000 × g for 10 min; the resulting supernatant was collected and placed in 1.5 ml Eppendorf tubes (Eppendorf AG, Hamburg, Germany) at −80°C. The remaining CSF was used for biochemical and immunological detection, as subsequently described.

Determination of protein concentration using iTRAQ and 2D LC-MS/MS

Following the removal of 22 high-abundance proteins, including albumin and IgG, using ProteoMiner low abundance protein enrichment kits (Bio-Rad Laboratories, Inc., Hercules, CA, USA), protein quantification was conducted using a Protein Assay reagent kit (Bio-Rad Laboratories, Inc., Hercules, CA, USA) based on Bradford methods, according to manufacturer's protocol. iTRAQ labeling was performed according to the manufacturer's protocol (Applied Biosystems Life Technologies, Foster City, CA, USA). Briefly, 100 µg CSF proteins from the ALS and NC groups were precipitated with cold acetone (ratio of acetone:sample, 5:1) for 1 h at −20°C and resuspended in 20 µl dissolution buffer, respectively. Following centrifugation at 2,000 × g for 15 min and disposal of the supernatant, the precipitant was dissolved into 20 ul iTRAQ solution and 1 ul 1% sodium dodecyl sulfate (SDS). Subsequently, 1 ul cysteine sealing reagent was added for 10 min at room temperature. Proteins were trypsinized (Sigma-Aldrich, St. Louis, MO, USA) at 37°C overnight (ratio of enzyme:protein, 1:20). Peptides were labeled with iTRAQ regents for 1 h at room temperature. iTRAQ regents 113 and 118 were used to label the peptides from the NC and ALS groups, respectively. Following this, samples were mixed, desalted with Sep-Pak Vac C18 cartridges (Waters Corporation, Milford, MA, USA) and dried in a vacuum concentrator.

2D LC-MS/MS analysis

High-performance liquid chromatography and time-of-flight mass spectrometry (API QSTAR XL Hybrid LC-MS/MS; Applied Biosystems Life Technologies) were used for protein separation and analysis. For 2D LC-MS/MS analysis, the iTRAQ-labeled mixed peptides were fractionated using strong cation exchange (SCX) chromatography on a 20AD HPLC system (Shimadzu Corporation, Kyoto, Japan) with a polysulfoethyl column (2.1×100 mm; 5 µm; 200 Å; The Nest Group, Inc., Southborough, MA, USA). Peptide mixture was reconstituted in Buffer A (SCXA), which contained 10 mM KH2PO4 in 25% acetonitrile (pH 2.6; Thermo Fisher Scientific, Waltham, MA, USA), and loaded onto the column. Peptides were separated at a flow rate of 200 µl/min for 60 min with a gradient of 0–80% Buffer B (Buffer A supplemented with 350 mM KCl) in Buffer A. Absorbances of 214 nm and 280 nm were identified by tandem mass spectrometry. A total of 20 SCX fractions were collected.

Protein identification

All data from tandem mass spectrometry were obtained from the UniProtKB/Swiss-Prot database using ProteinPilot 3.0 software (AB Sciex, Framingham, MA, USA), and the identification and quantification results were recorded. Search parameters were as follows: At least 1 matching peptide, a confidence interval (CI) of the peptide of >95% (P<0.05) and results in accordance with the peak of the spectrum.

Protein annotation and classification

The Database for Annotation, Visualization and Integrated Discovery (DAVID) was used for functional annotation of proteins and gene ontology (GO) was used to classify these proteins, including their involvement in biological processes, as cellular components and their molecular function.

Differential expression of proteins

Western blotting was performed to analyze differential protein expression in the CSF between the ALS-B and NC groups, in order to verify the iTRAQ results. A total of 1 ml CSF sample was added into a 3 kD ultrafiltration centrifugal tube (EMD Millipore, Billerica, CA, USA) for desalination and concentration. Protein concentrations were subsequently measured via the Bradford method using Bio-Rad protein assay reagent (Bio-Rad Laboratories, Inc.). A total of 20 µg protein was separated by 12% SDS polyacrylamide gel electrophoresis followed by electro-blotting onto a polyvinylidene difluoride membrane. The membrane was subsequently incubated with 5% nonfat dry milk in Tris-buffered saline at room temperature for 2 h, in order to block non-specific binding. Following this, the membrane was incubated with the following primary antibodies: Rabbit anti-human insulin-like growth factor II (IGF-2; l:1,250; ab9574); mouse anti-human leucine-rich α-2-glycoprotein 1 (LRG1; l:800; ab57992); and rabbit anti-human glutamate receptor 4 (GRIA4; 1:500; ab61171; all Abcam, Cambridge, UK), diluted in blocking buffer overnight at 4°C. The membrane was subsequently incubated with horseradish peroxidase-conjgated AffinPure goat anti-rabbit (KC-RB-035) and anti-mouse (KC-MM-035) immunoglobulin G (H+L) secondary antibodies (both 1:5,000; Shanghai Kangcheng Biotechnology Co., Ltd., Shanghai, China) diluted with nonfat dry milk and Tris-buffered saline and Tween 20 (TBST). After rinsing three times with TBST, the western blot protein band was detected using chemiluminescence, and the gray scales of the bands were quantified using software Image Lab 3.0 (Bio-Rad Laboratories, Inc.).

Statistical analysis

SPSS17.0 (SPSS, Inc., Chicago, IL, USA) was used for statistical analyses, GraphPad Prism 4 (GraphPad Software, Inc., La Jolla, CA, USA) was used to draw graphs and ProteinPilot 3.0 was used to detect the protein threshold [where Unused ProtScore >1.3 (95% CI)]. An error (ProtScore) of 2.0 indicated a credible identified protein; an error of >1.2 or <0.8 indicated an identifiable significant difference (P<0.05).

All data were normally distributed when examined with a one-sample Kolmogorov-Smirnov test. A t-test was used to compare two groups and data are expressed as the mean ± standard deviation; P<0.05 was considered to indicate a statistically significant difference.

Correlation analysis used multiple linear regression analysis and the disaggregated data was assigned a conversion score, as follows: i) Gender: male, 1; and female, 2; ii) diagnostic level: diagnosed, 1; suspected, 2; suspected and clinically supported, 3; iii) involvement: medullary, 1; cervical, 2; and lumbar, 3.

Results

Clinical data

The average ages of the ALS-B and NC groups were 52.7±12.13 and 51.1±10.62 years old, respectively, and there were 6 men and 4 women in each group. No significant difference in age or gender balance between these groups was identified (P>0.05).

The average ages of the ALS-A and OND groups were 52.80±11.98 and 51.17±12.44 years old, respectively, and there were 22 men and 13 women in the ALS-A group, and 11 men and 7 women in the OND group. No significant difference was identified in age or gender balance between these groups (P>0.05). The protein concentration of CSF was 350.46±110.09 mg/l in the ALS-A group and 377.56±85.85 mg/l in the control group, with no significant difference revealed between the two (P>0.05).

CSF protein identification

iTRAQ and 2D-LC-MS/MS analyses were performed and used to analyze the protein content of the CSF in the ALS and NC groups. A total of 248 proteins were identified, and their names, the iTRAQ ratio (where available) and the UniProtKB/Swiss-Prot database accession number of 243 of these proteins are provided (95% CI; Tables I and II).

Table I.

Proteins analyzed in the present study.

Unused ProtScore (CL, %) Proteins detected, n Proteins prior to grouping, n Distinct peptides, n Spectra identified, n % of total spectra
>2.0 (99) 211 285 18106 37075 33.8
>1.3 (95) 248 347 19568 38823 35.4a
>0.47 (66) 294 448 21271 40761 37.2
a

Cutoff applied at an unused protein score of >1.3. CL, confidence level.

Table II.

Proteins in ALS and NC groups by cerebrospinal fluid.

Protein name iTRAQ ratio (ALS/NC) Accession no.
Serum albumin 0.9262 sp|P02768|
Complement C4-A 1.0317 sp|P0C0L4|
Complement C3 1.0003 sp|P01024|
Transthyretin 1.0717 sp|P02766|
α-1-antitrypsin 0.7250 sp|P01009|
α-2-macroglobulin 0.9938 sp|P01023|
Serotransferrin 0.8150 sp|P02787|
Fibronectin 1.0084 sp|P02751|
Apolipoprotein A1 1.0930 sp|P02647|
Ig γ1 chain C region 0.9304 sp|P01857|
Apolipoprotein E 1.1323 sp|P02649|
Gelsolin 1.0509 sp|P06396|
Apolipoprotein A-IV 1.1446 sp|P06727|
Clusterin 1.0969 sp|P10909|
Cystatin C 1.0671 sp|P01034|
Vitamin D-binding protein 0.8710 sp|P02774|
Contactin-1 1.0430 sp|Q12860|
Complement factor 1.0036 sp|P08603|
Pigment epithelium-derived factor 0.9803 sp|P36955|
Secretogranin-1 1.0670 sp|P05060|
Ceruloplasmin 0.8720 sp|P00450|
Serum albumin 1.0588 sp|P51693|
Haptoglobin 0.6926 sp|P00738|
Secretogranin-3 1.1640 sp|Q8WXD2|
Antithrombin-III 0.8452 sp|P01008|
Chromogranin-A 1.0098 sp|P010645|
α-1-B glycoprotein 0.9835 sp|P04217|
β-Ala-His dipeptidase 1.1591 sp|Q96KN2|
Neuronal cell adhesion molecule 1.0097 sp|Q92823|
Ig γ2 chain C region 1.0383 sp|P01859|
Monocyte differentiation antigen CD14 0.8775 sp|P08571|
Fibrinogen α chain 1.0375 sp|P02671|
α-1-antichymotrypsin 0.9855 sp|P01011|
Neurosecretory protein VGF 1.0510 sp|015240|
α-2-HS-glycoprotein 1.0036 sp|P02765|
Angiotensinogen 1.0014 sp|P01019|
Ig α1 chain C region 1.0096 sp|P01876|
Collagen α-1(I) chain 1.0412 sp|P02452|
Plasminogen 0.8738 sp|P00747|
Kininogen-1 0.8529 sp|P01042|
Fibulin-1 0.9324 sp|P23142|
Hemoglobin subunit β 1.4623 sp|P68871|
Prostaglandin-H2 D-isomerase 0.9310 sp|P41222|
N-acetyllactosaminide β-1,3-N-acetylglucosaminyltransferase 1.0294 sp|O43505|
Neuronal pentraxin receptor 1.0815 sp|O95502|
Hemopexin 0.8432 sp|P02790|
Retinol-binding protein 4 0.9796 sp|P02753|
Apolipoprotein D 0.9616 sp|P05090|
Ectonucleotide pyrophosphatase/phosphodiesterase family member 2 0.9689 sp|Q13822|
β-2-glycoprotein 1 0.9413 sp|P02749|
Carboxypeptidase E 1.0193 sp|P16870|
Collagen α-2(I) chain 1.0000 sp|P08123|
Calsyntenin-1 1.1224 sp|O94985|
Vitronectin 0.8401 sp|P04004|
Nucleobindin-1 1.0513 sp|Q02818|
Ig µ chain C region 0.8467 sp|P01871|
Ig κ chain C region 1.0135 sp|P01834|
Ig γ3 chain C region 0.9289 sp|P01860|
Extracellular superoxide dismutase (Cu-Zn) 1.0356 sp|P08294|
Cathepsin D 0.9478 sp|P07339|
Afamin 1.0176 sp|P43652|
Complement component C7 0.9460 sp|P10643|
Apolipoprotein A-II 1.2524 sp|P02652|
Contactin-2 1.0433 sp|Q02246|
Inter-α-trypsin inhibitor heavy chain 1.0549 sp|Q14624|
Neural cell adhesion molecule 1 1.0091 sp|P13591|
EGF-containing fibulin-like extracellular matrix protein 0.9392 sp|Q12805|
Ig λ chain C regions 1.0045 sp|P01842|
Complement component C9 0.7597 sp|P02748|
Neural cell adhesion molecule L1-like protein 1.0405 sp|O00533|
Procollagen C-endopeptidase enhancer 1 1.0410 sp|Q15113|
Mimecan 0.9845 sp|P20774|
Fibrinogen β chain 1.0713 sp|P02675|
Hemoglobin subunit α 1.5451 sp|P69905|
ProSAAS 1.0492 sp|Q9UHG2|
Neuronal pentraxin-1 1.1167 sp|Q15818|
β-2-microglobulin 1.0138 sp|P61769|
Collagen α-1(VI) chain 1.0602 sp|P12109|
Neural cell adhesion molecule 2 0.9561 sp|O15394|
Leucine-rich α-2-glycoprotein 0.6430 sp|P02750|
Insulin-like growth factor-binding protein 2 0.9574 sp|P18065|
Insulin-like growth factor-binding protein 6 0.9883 sp|P24592|
Protein kinase C-binding protein NELL2 0.9929 sp|Q99435|
Keratin, type II cytoskeletal 1 0.9729 sp|P04264|
Dickkopf-related protein 3 1.0396 sp|Q9UBP4|
Ig κ chain V–III region 0.9945 sp|P01623|
Complement C1r subcomponent 0.9240 sp|P00736|
Prothrombin 0.9113 sp|P00734|
Dystroglycan 1.0292 sp|Q14118|
Tetranectin 0.9282 sp|P05452|
α-2-antiplasmin 0.9126 sp|P08697|
Complement factor B 0.8143 sp|P00751|
Cartilage acidic protein 1 1.0590 sp|Q9NQ79|
Peptidylglycine α-amidating monooxygenase 0.8763 sp|P19021|
Major prion protein 1.0478 sp|P04156|
Zinc-α-2-glycoprotein 0.7912 sp|P25311|
Neuroendocrine protein 7B2 1.1447 sp|P05408|
Multiple epidermal growth factor-like domains 8 0.9706 sp|Q7Z7M0|
Insulin-like growth factor-binding protein 7 1.0327 sp|Q16270|
SPARC 0.8425 sp|P09486|
Trypsin-1 1.2077 sp|P07477|
Secretogranin-2 0.9307 sp|P13521|
Voltage-dependent calcium channel subunit α2δ-1 0.9343 sp|P54289|
Pyruvate kinase isozymes M1/M2 1.0611 sp|P14618|
Cadherin 13 1.0163 sp|P55290|
GM2 Ganglioside activator 1.0083 sp|P17900|
Fibrinogen γ chain 1.0925 sp|P02679|
Extracellular matrix protein 1 1.0849 sp|Q16610|
Collagen α-1(XVIII) chain 1.0000 sp|P39060|
Cadherin-2 1.0560 sp|P19022|
Semaphorin 7A 0.9433 sp|O75326|
Ig κ chain V–II region GM607 0.9526 sp|P06309|
Ig λ chain V–III region LOI 0.7060 sp|P01617|
Transmembrane protein 132A 1.1680 sp|Q24JP5|
Metalloproteinase inhibitor 2 0.9855 sp|P16035|
Osteopontin 1.0354 sp|P10451|
Kallikrein-6 0.9713 sp|Q92876|
Sex hormone-binding globulin 0.6051 sp|P04278|
Actin, cytoplasmic 1 0.8566 sp|P60709|
Ig γ-4 chain C region 1.1808 sp|P01861|
Protein FAM3C 0.9182 sp|Q92520|
Chorionic somatomammotropin hormone 0.5234 sp|P01243|
Keratin, type I cytoskeletal 9 0.9161 sp|P35527|
Limbic system-associated membrane protein 0.9398 sp|Q13449|
Phospholipid transfer protein 1.1687 sp|P55058|
Ig heavy chain V–III region BRO 0.9650 sp|P01766|
SPARC-like protein 1 0.9325 sp|Q14515|
Fructose-bisphosphate aldolase 0.9490 sp|P04075|
N-acetylmuramoyl-L-alanine amidase 0.9820 sp|Q96PD5|
Complement C1s subcomponent 0.9598 sp|P09871|
Ig κ chain V–IV region B17 0.8581 sp|P06314|
Lumican 1.0259 sp|P51884|
Opioid-binding protein/cell adhesion molecule 0.8758 sp|Q14982|
Ribonuclease pancreatic 0.7527 sp|P07998|
Ig κ chain V–III region CLL 0.8486 sp|P04207|
Immunoglobulin superfamily member 8 0.8751 sp|Q969P0|
78-kDa glucose-regulated protein 0.9751 sp|P11021|
Protein AMBP 0.7950 sp|P02760|
Coagulation factor V 1.0938 sp|P12259|
Histidine-rich glycoprotein 0.9048 sp|P04196|
Ig heavy chain V–III region KOL 0.9839 sp|P01772|
L-lactate dehydrogenase B chain 0.9649 sp|P07195|
Complement component C6 0.9164 sp|P13671|
Ephrin type-A receptor 4 0.9178 sp|P54764|
Cerebellin-3 1.0609 sp|Q6UW01|
Proenkephalin A 1.0079 sp|P01210|
Insulin like growth factor binding protein 4 0.8461 sp|P22692|
Apolipoprotein C-III 1.1181 sp|P02656|
Trypsin −3 1.1478 sp|P35030|
Transforming growth factor-β-induced protein ig-h3 1.0709 sp|Q15582|
IgG Fc-binding protein 1.0775 sp|Q9Y6R7|
Plasma serine protease inhibitor 0.9604 sp|P05154|
Coagulation factor XII 0.9422 sp|P00748|
Biotinidase 1.2970 sp|P43251|
Ig κ chain V–III region VG (Fragment) 1.09987 sp|P04433|
Collagen α-3(VI) chain 0.9422 sp|P00748|
Neuroserpin 1.0459 sp|Q99574|
Keratin, type I cytoskeletal 10 0.8858 sp|P13645|
Fibulin-5 0.9587 sp|Q9UBX5|
Receptor-type tyrosine-protein phosphatase S 1.1670 sp|Q13332|
Complement factor I 0.8627 sp|P05156|
Ig heavy chain V–III region TRO 1.1189 sp|P01762|
Basement membrane-specific heparan sulfate proteoglycan core protein 0.9080 sp|P98160|
α-1 acid glycoprotein 1 0.7355 sp|P02763|
Chitinase-3-like protein 1 0.9904 sp|P36222|
Cell adhesion molecule 3 0.8572 sp|Q8N126|
Galectin-3-binding protein 0.9876 sp|Q08380|
Ig heavy chain V–III region POM 1.0712 sp|P01774|
Endonuclease domain-containing 1 protein 1.0166 sp|P01776|
Ig λ chain V–I region HA 1.0838 sp|P01779|
Complement C1q subcomponent subunit B 1.0301 sp|P02746|
Leucine-rich repeat-containing protein 4B 1.0174 sp|Q9NT99|
Peroxiredoxin-2 1.6278 sp|P32119|
Glyceraldehyde-3-phosphate dehydrogenase 1.2506 sp|P04406|
Serum paraoxonase/arylesterase 1 0.8635 sp|P27169|
Calcium/calmodulin-dependent protein kinase type II α chain 1.1677 sp|Q9UQM7|
Fibrillin-1 0.2204 sp|P35555|
Complement C2 0.9405 sp|P06681|
Cell growth regulator with EF hand domain protein 1 1.3740 sp|Q99674|
Myopalladin 0.6801 sp|Q86TC9|
Neuronal growth regulator 1 1.0667 sp|Q7Z3B1|
Serum amyloid A-4 protein 1.0645 sp|P35542|
Protocadherin Fat 2 1.1409 sp|Q9NYQ8|
Cathepsin F 1.1142 sp|Q9UBX1|
DNA repair protein RAD50 0.9463 sp|Q92878|
α-enolase 1.1591 sp|P06733|
Insulin-like growth factor II 0.4053 sp|P01344|
Ig λ chain V–III region SH 1.0399 sp|P01714
Reelin 1.1149 sp|P78509|
Pregnancy-specific β-1-glycoprotein 1 0.7522 sp|P11464|
Retinoic acid receptor responder protein 2 1.0850 sp|Q99969|
Lymphocyte antigen 6H 1.0322 sp|O94772|
Receptor-type tyrosine-protein phosphatase N2 1.0020 sp|Q92932|
Multimerin-2 1.0029 sp|Q9H8L6|
Apolipoprotein L1 0.9537 sp|O14791|
Ig κ chain V–I region Roy a sp|P01608|
Neurofascin 1.0305 sp|O94856|
V-type proton ATPase 0.8780 sp|Q15904|
Heparin cofactor 2 1.0087 sp|P05546|
Plasma glutamate carboxypeptidase 1.0663 sp|Q9Y646|
Hypoxia upregulated protein 1 1.0213 sp|Q9Y4L1|
Ig κ chain V–I region Ka 0.9834 sp|P01603|
Protein DJ-1 1.2886 sp|Q99497|
Laminin subunit γ-1 0.8128 sp|P11047|
Cell surface glycoprotein MUC18 0.7681 sp|P43121|
Neuroendocrine convertase 2 1.2290 sp|P16519|
Inter-α-trypsin inhibitor heavy chain H5 0.9165 sp|Q86UX2|
Exostosin-like 2 0.9342 sp|Q9UBQ6|
Metalloproteinase inhibitor 1 1.0673 sp|P01033|
Immunoglobulin J chain 1.0429 sp|P01591|
Ig κ chain V–I region BAN a sp|P04430|
Ig κ chain V–I region DEE 1.0241 sp|P01597|
Ig κ chain V–I region Wes 0.8814 sp|P01611|
Serum amyloid A-1 protein 0.6516 sp|P02735|
Glutamate receptor 4 1.3098 sp|P48058|
Amyloid β A4 1.0164 sp|P05067|
Zinc finger protein 0.9751 sp|B1APH4|
Nidogen-2 1.0441 sp|Q14112|
72-kDa type IV collagenase 0.8378 sp|P08253|
WAP, kazal, immunoglobulin, Kunitz and NTR domain-containing protein 2 1.0204 sp|Q8TEU8|
Kallistatin 0.8933 sp|P29622|
45-kDa calcium-binding protein 1.0575 sp|Q9BRK5|
Tissue α-L-fucosidase 1.1211 sp|P04066|
protein Cut A 1.0521 sp|O60888|
Ig heavy chain V–I region 0.9126 sp|P06326|
Ig heavy chain V–I region 0.9126 sp|P06326|
γ-glutamyl hydrolase 1.2209 sp|Q92820|
Complement component C8 γ chain 0.9202 sp|P07360|
Phosphatidylethanolamine-binding protein 1 1.1293 sp|P30086|
Thy-1 membrane glycoprotein 0.7535 sp|P04216|
Cell adhesion molecule 4 0.9868 sp|Q8NFZ8|
Sjoegren syndrome/scleroderma autoantigen 1 0.9615 sp|O60232|
Uncharacterized protein C6orf170 1.1061 sp|Q96NH3|
N-acetylglucosamine-1-phosphotransferase subunit γ 1.0938 sp|Q9UJJ9|
Testican-2 1.2140 sp|Q92563|
Fructose-bisphosphate aldolase C a sp|P09972|
Lysozyme C 0.8222 sp|P61626|
V-type proton ATPase subunit D 1.2915 sp|Q9Y5K8|
Coagulation factor XI a sp|P03951|
Complement C1q subcomponent subunit C 0.8441 sp|02747|
Dermcidin 0.7257 sp|P81605|
Ig κ chain V–II region RPMI 6410 0.7960 sp|P06310|
Hemoglobin subunit δ a sp|P06310|
Titin 0.9960 sp|Q8WZ42|
Tumor protein 63 0.7445 sp|Q9H3D4|
Cysteine-rich with EGF-like domain protein 1 1.0219 sp|Q96HD1|
Putative α-1-antitrypsin-related protein 0.8877 sp|P20848|
Scrapie-responsive protein 1 1.0576 sp|O75711|
a

Not identified. ALS, amyotrophic lateral sclerosis; NC, normal control; iTRAQ, isobaric tags for relative and absolute quantitation.

Analyses of differential protein expression

A total of 35 differentially-expressed proteins were compared between the ALS and NC groups; of these, 14 were upregulated and 21 were downregulated (Tables III and IV). These proteins had a ProtScore between the values of >1.2 and <0.8, corresponding to P<0.05.

Table III.

Proteins decreased in ALS group.

Protein Ratio of ALS vs. control Accession no.
α-1-antitrypsin α1 0.7250 sp|P01009|
Haptoglobin 0.6926 sp|P00738|
Complement component 9 0.7597 sp|P02748|
Leucine-rich α-2-glycoprotein 0.6430 sp|P02750|
Zinc-α-2-glycoprotein 0.7912 sp|P25311|
Sex hormone-binding globulin 0.6051 sp|P04278|
Chorionic somatomammotropin hormone 1 0.5234 sp|P01243|
Ribonuclease pancreatic 0.7527 sp|P07998|
Protein AMBP 0.7950 sp|P02760|
α-1-acid glycoprotein 1 0.7355 sp|P02763|
Fibrillin-1 0.2204 sp|P35555|
Myopalladin 0.6801 sp|Q86TC9|
Insulin-like growth factor II 0.4053 sp|P01344|
Pregnancy-specific β-1-glycoprotein 1 0.7522 sp|P43251|
Cell surface glycoprotein MUC18 0.7681 sp|P43121|
Serum amyloid A protein 0.6516 sp|P02735|
Thy-1 membrane glycoprotein 0.7535 sp|P04216|
Dermcidin 0.7257 sp|P81605|
Ig λ chain V–III region LOI 0.7060 sp|P01617|
Ig κ chain V–II region RPMI 6410 0.7960 sp|P06310|
Tumor protein 63 0.7444 sp|Q9H3D4|

ALS, amyotrophic lateral sclerosis.

Table IV.

Increased proteins in ALS group.

Protein Ratio of ALS vs. control Accession no.
Peroxiredoxin-2 1.6278 sp|P32119|
Glutamate receptor 4 1.3097 sp|P02735|
Apolipoprotein A-II 1.2523 sp|P48058|
Hemoglobin subunit α 1.5451 sp|P69905|
Trypsin-1 1.2076 sp|P69905|
Biotinidase 1.2970 sp|P43251|
Hemoglobin subunit β 1.4623 sp|P68871|
Glyceraldehyde-3-phosphate dehydrogenase 1.2505 sp|P04406|
Cell growth regulator with EF hand domain protein 1 1.3748 sp|Q99674|
Protein DJ-1 1.2886 sp|Q99497|
Neuroendocrine convertase 2 1.2294 sp|P16519|
γ-glutamyl hydrolase 1.2209 sp|Q92820|
Testican-2 1.2140 sp|Q92563|
V-type proton ATPase subunit D 1.2915 sp|Q9Y5K8|

ALS, amyotrophic lateral sclerosis.

Sample data of specific differentially-expressed proteins

IGF-2 and LRG1 protein expression was decreased in the experimental groups, whereas GRIA4 expression was increased (Fig. 1).

Figure 1.

Figure 1.

Sample data of 3 differentially-expressed proteins. GIVEECCFR, ALGHLDLSGNR and LQNILEQIVSVGK are enzyme-specific peptides. IGF-2, insulin-like growth factor II; GRIA4, glutamate receptor 4; LRG1, leucine-rich α-2-glycoprotein 1; iTRAQ, isobaric tags for relative and absolute quantitation.

DAVID results and the classification of proteins by biological role

The function of all identified proteins was analyzed using GO in conjunction with DAVID software. The most common biological roles of CSF proteins were in acute inflammation, damage response, protein maturation, inflammation, defense response, complement activation and other associated immune pathways (Fig. 2).

Figure 2.

Figure 2.

Identified cerebrospinal fluid proteins, classified by the biological processes that they are involved in. Activation of plasma proteins refers to this process in the acute inflammatory response.

Classification by cellular localization

The most common localization of CSF proteins relative to cells included the extracellular domain, extracellular space, extracellular matrix and protein-lipid complexes (Fig. 3).

Figure 3.

Figure 3.

Identified cerebrospinal fluid proteins, classified by their cellular localization. Extracellular region refers to the space external to the outermost structure of the cell, indicating gene products that are not attached to the cell surface. Extracellular region part refers to any constituent part of the extracellular region, and is not used to specifically indicate gene products.

Classification by molecular function

The most common molecular functions of CSF proteins were endopeptidase, peptidase, enzyme and serine-type endopeptidase inhibitors, and antigen-, calcium- and heparin-binding proteins (Fig. 4).

Figure 4.

Figure 4.

Identified cerebrospinal fluid proteins, classified by their molecular function.

Western blotting

A total of 3 candidate proteins were randomly selected to be examined by western blot analysis in the ALS and the NC groups (Fig. 5); of these, IGF-2 was revealed to be significantly downregulated and GRIA4 was significantly upregulated in the ALS group when compared with the normal control group (P<0.05; Table V), but LRG1 expression was not significantly altered (P=0.224; Table V). These proteins were also examined by western blot analysis in the ALS-A and OND groups, again demonstrating a significant downregulation of IGF-2 and a significant upregulation of GRIA4 in the ALS group compared with the OND group (P<0.01; Table VI), but no significant difference in LRG1 expression between these groups (P=0.196; Table VI).

Figure 5.

Figure 5.

Western blot analysis of the three candidate proteins, glutamate receptor 4 (GRIA4), leucine-rich α-2-glycoprotein 1 (LRG1) and insulin-like growth factor II (IGF-2). NC, normal control; ALS, amyotrophic lateral sclerosis; OND, other neurological disease.

Table V.

Western blotting results of ALS-B and NC groups.

Protein Molecular weight, KDa ALS group (n=10) NC group (n=10) P-value
IGF-2 7.5 225700±126090 436857±212550 0.017a
GRIA4 102 715730±432220 305796±130600 0.016a
LRG1 38 1278000±702040 1807000±1115500 0.224

Data are presented as the mean ± standard deviation.

a

P<0.05 vs. NC group. ALS, amyotrophic lateral sclerosis; NC, normal control; IGF-2, insulin-like growth factor II; GRIA4, glutamate receptor 4; LRG1, leucine-rich α-2-glycoprotein 1.

Table VI.

Western blotting results of ALS-A and OND groups.

Protein ALS group (n=35) OND group (n=18) P-value
IGF-2 222200±123648 452500±255620 0.002a
GRIA4 608502±519012 200100±150810 0.002a
LRG1 1097255±961025 746070±703690 0.196

Data are presented as the mean ± standard deviation.

a

P<0.01 vs. OND group. ALS, amyotrophic lateral sclerosis; OND, other neurological disease; IGF-2, insulin-like growth factor II; GRIA4, glutamate receptor 4; LRG1, leucine-rich α-2-glycoprotein 1.

Correlation between GRIA4 and gender

GRIA4 expression in the ALS-A group was significantly higher in male patients than in female patients (765,483±583,227 and 319,766±224,242, respectively; r=−0.574; P=0.003; Fig. 6).

Figure 6.

Figure 6.

Correlation between GRIA4 and clinical features. GRIA4, glutamate receptor 4.

GRIA4 expression in the ALS-A group was also positively correlated with ALS clinical scores (r=0.487; P=0.017), indicating a negative correlation with clinical severity (Fig. 7).

Figure 7.

Figure 7.

Correlation of ALS value with GRIA4. ALS, amyotrophic lateral sclerosis; GRIA4, glutamate receptor 4; ALSFRS, ALS functional rating scale.

Discussion

In the present study, 248 different low-abundance proteins were identified in human CSF and the details of these proteins were established in ALS patients. All proteins were subjected to GO analysis with DAVID software and were classified according to their involvement in biological processes, their cellular localization and their molecular function. Data indicated that the primary roles of these proteins were in the acute inflammatory response and injury response, that the proteins were predominantly localized to extracellular regions and that the majority of these proteins were endopeptidase and peptidase inhibitors. These data aid the understanding of CSF protein profiles in patients with ALS, and provide possible biomarkers of the disease. A screening of 35 of these proteins revealed significant differences in protein expression between the ALS and NC groups, primarily in inflammation-associated proteins, neurotrophic factors and signal transduction proteins.

IGF-2, GRIA4 and LRG1 were randomly selected to verify their differential expression in ALS patients using western blot analysis. Consistent with the results of the proteomic analysis, IGF-2 and GRIA4 expression was altered in the CSF of ALS patients, but there was no significant difference in LRG1 expression between the ALS and NC groups; this led to the conclusion that additional verification of the altered protein expression reported in the present study is necessary to confirm these proteomic results.

To confirm the expression specificity of IGF-2, GRIA4 and LRG1, expression levels of these proteins were compared in patients with ALS and patients with OND; IGF-2 expression was significantly decreased, but GRIA4 expression was significantly increased.

Alterations to protein expression are complex with regard to disease progression, age, gender and duration of illness; it was thus important to examine the correlation between alterations to protein expression and clinical features. Clinical data of 35 ALS patients was collected and were subjected to multiple linear regression analysis to reveal any confounding factors.

The clinical data in the present study revealed a higher male incidence of ALS (male to female ratio, 1.7:1), which was in support of a previous study; the 2009 European epidemiological study revealed a similar ratio of 1.4:1 (10). The present results demonstrated a correlation of GRIA4 expression with gender; male GRIA4 levels were 2.5-fold those of female levels (P<0.01).

To the best of our knowledge, the association between glutamate receptor levels and clinical characteristics has not been studied; however, glutamate excitotoxicity damage is widely recognized in the pathogenesis of ALS. Fiszman et al (11) reported no significant correlation between glutamate ligand concentration in the CSF of patients with different severities of ALS, suggesting that glutamate is involved in the occurrence of ALS and not in the severity of the disease. Excitotoxicity of glutamate also requires the presence of a glutamate receptor, meaning that high expression of glutamate receptors may be responsible for the neuronal toxicity injury induced by glutamate. As the concentration of glutamate is increased in the CSF of ALS patients (11), and GRIA4 expression was increased in ALS in the current study, the high incidence of ALS may be associated with the expression of GRIA4.

In the present study, the ALS score was estimated using the ALSFRS-R scale; a lower score on this scale corresponded to more severe disease. A multivariate analysis indicated that GRIA4 expression was positively correlated with the ALS score, revealing a negative correlation with the severity of the disease. However, ALS patients with mild symptoms were selected, defined in accordance with a previous scoring system attributing a score >25 to less severe ALS and scores of <25 to moderate and severe phases of ALS (12). As the glutamate concentration is significantly increased in the CSF of ALS patients (7), glutamate is likely to be involved in the pathogenesis of the disease. From the present results, it was concluded that GRIA4 expression is likely to be involved in the pathogenesis of ALS, resulting in a negative feedback regulatory mechanism to subsequently reduce its expression. The glutamate receptor antagonist, riluzole, is effective in the early treatment of ALS (13). In conjunction with the present report suggesting the early-stage overexpression of GRIA4, these data indicate that early treatment with anti-glutamate-associated drugs may prove a useful therapeutic measure.

The multivariate analysis examining IGF-2 and LRG1 expression and the clinical data revealed no significant correlations. This may be attributable to the sample size of the present study being too small or too few clinical factors being included. Based on the standard deviation values, the expression levels of IGF-2 and LRG1 were relatively balanced, as compared with the standard deviation of the GRIA4 expression levels, which suggested that IGF-2 may be a valuable biomarker of ALS with higher credibility due to fewer interference factors.

In summary, GRIA4 expression varied based on gender and may be reflective of ALS severity, providing a meaningful reference value for the timing of treatment. Furthermore, IGF-2 may prove an effective diagnostic marker of ALS.

Acknowledgements

The present study was supported by the Scientific Research Foundation of Huashan Hospital, Fudan University (Dr Yan Chen; 2007). The authors would like to thank staff from the Institute of Biomedical Science (Fudan University, Shanghai, China) for providing technical support.

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