Proteomic analysis of gingival crevicular fluid for discovery of novel periodontal disease markers

The protein composition of gingival crevicular fluid (GCF) may reflect the pathophysiology of periodontal diseases. A standard GCF proteomic pattern of healthy individuals would serve as a reference to identify biomarkers of periodontal diseases by proteome analyses. However, protein profiles of GCF obtained from apparently healthy individuals have not been well explored. As a step toward detection of proteomic biomarkers for periodontal diseases, we applied both gel-based and gel-free methods to analyze GCF obtained from healthy subjects as compared with supragingival saliva. To ensure optimized protein extraction from GCF, a novel protocol was developed. The proteins in GCF were extracted with high yield by urea buffer combined with ultrafiltration and the intensity of spots with supragingival saliva and GCF was compared using agarose two-dimensional electrophoresis. Eight protein spots were found to be significantly more intense in GCF. They included superoxide dismutase 1 (SOD1), apolipoprotein A-I (ApoA-I), and dermcidin (DCD). Moreover, GCF proteins from healthy subjects were broken down into small peptide fragments and then analyzed directly by LC-MS/MS analysis. A total of 327 proteins including ApoA-I, SOD1, and DCD were identified in GCF. These results may serve as reference for future proteomic studies searching for GCF biomarkers of periodontal diseases.     

Correlation of MCP-4 and high-sensitivity C-reactive protein as a marker of inflammation in obesity and chronic periodontitis

ObjectivesObesity is increasing in prevalence worldwide and has emerged as a strong risk factor for periodontal disease. Conversely, the remote effects of periodontal disease on various systemic diseases have been proposed. The aim of this study is to determine the presence of MCP-4 and high sensitivity C reactive protein (hsCRP) levels in gingival crevicular fluid (GCF) and serum in obese and non-obese subjects with chronic periodontitis and to find a correlation between MCP-4 and hsCRP in GCF and serum.Materials and methodsForty subjects (20 males and 20 females) were selected and divided into four groups (10 subjects in each group), based on clinical parameters: group NOH (non-obese healthy), group OH (obese healthy), Group NOCP (non-obese with chronic periodontitis) and group OCP (obese with chronic periodontitis). The levels of serum and GCF MCP-4 were determined by ELISA and hsCRP levels were determined by immunoturbidimetry method.ResultsThe mean GCF and serum concentration of MCP-4 was highest for group OCP followed by group NOCP, group OH (in GCF); group OH, group NOCP(in serum) and least in group NOH. The mean hsCRP concentration was highest for group OCP followed by group OH, group NOCP and group NOH. A significant positive correlation was found between serum and GCF MCP-4 and hsCRP levels.ConclusionGCF MCP-4 concentrations increased in periodontal disease compared to health and correlated positively with the severity of disease indicating it as a novel marker of periodontal disease. The serum concentration of MCP-4 was found to be more in obese group as compared to nonobese group indicating it as a marker of obesity. Furthermore, based on the positive correlation of MCP-4 and hsCRP found in this study, it can be proposed that MCP-4 and hsCRP may be the markers linking chronic inflammation in obesity and periodontal disease.     

Type 1 diabetes cadaveric human pancreata exhibit a unique exocrine tissue proteomic profile

Type 1 diabetes (T1D) is an autoimmune disorder resulting from a self‐destruction of pancreatic islet beta cells. The complete proteome of the human pancreas, where both the dysfunctional beta cells and their proximal environment co‐exist, remains unknown. Here, we used TMT10‐based isobaric labeling and multidimensional LC‐MS/MS to quantitatively profile the differences between pancreatic head region tissues from T1D (N = 5) and healthy subjects (N = 5). Among the 5357 (1% false discovery rate) confidently identified proteins, 145 showed statistically significant dysregulation between T1D and healthy subjects. The differentially expressed pancreatic proteome supports the growing notion of a potential role for exocrine pancreas involvement in T1D. This study also demonstrates the utility for this approach to analyze dysregulated proteins as a means to investigate islet biology, pancreatic pathology and T1D pathogenesis.     

Quantitative Proteomic Analysis of Gingival Crevicular Fluid in Different Periodontal Conditions

Aim

To quantify the proteome composition of the GCF in periodontal health (HH) and in sites with different clinical conditions in chronic periodontitis (CP) subjects.

Material and Methods

5 subjects with HH and 5 with CP were submitted to full-mouth periodontal examination, and GCF sampling. Sites in the CP group were classified and sampled as periodontitis (P, probing depth, PD>4 mm), gingivitis (G, PD≤3mm with bleeding on probing, BOP), and healthy sites (H, PD≤3mm without BOP). GCF proteins were subjected to liquid chromatography electrospray ionization mass spectrometry for identification, characterization and quantification.

Results

230 proteins were identified; 145 proteins were detected in HH, 214 in P, 154 in G, and 133 in H. Four proteins were exclusively detected at HH, 43 proteins at P, 7 proteins at G, and 1 protein at H. Compared to HH group, 35 and 6 proteins were more abundant in P and G (p<0.001), respectively; and 4, 15 and 37 proteins were less abundant in P, G and H (p≤0.01), respectively.

Conclusions

There are marked differences in the GCF proteome according to disease profile. Comprehension of the role of the identified proteins in the etiopathogenesis of periodontal disease may lead to biomarkers definition.     

Group II phospholipase A(2) in human gingiva with periodontal disease

Fourteen kilodalton phospholipase A(2) molecules (PLA(2)) are classified into two groups, I- and II-PLA(2), and only the latter has been considered to play a pathogenetic role in various forms of tissue inflammation. Previously we demonstrated high PLA(2) activity in gingival crevicular fluid (GCF) of patients with periodontal disease, without determining the group of the enzyme involved. In this study, the activity, groups and levels of enzyme in gingiva taken from 13 sites of periodontal disease were determined using both biochemical and radioimmunological methods. A linear correlation between the activity and the level of II-PLA(2) was observed. No I-PLA(2) was found in any of the samples tested. These data suggest that the PLA(2) activity found in the GCF of patients with periodontal disease does not belong to the I-PLA(2) but to the II-PLA(2) group.     

Heterogeneity of serum gelatinases MMP‐2 and MMP‐9 isoforms and charge variants

The matrix metalloproteinases (MMPs) gelatinase A (MMP‐2) and gelatinase B (MMP‐9) are mediators of brain injury in multiple sclerosis (MS) and valuable biomarkers of disease activity. We applied bidimensional zymography (2‐DZ) as an extension of classic monodimensional zymography (1‐DZ) to analyse the complete pattern of isoforms and post‐translational modifications of both MMP‐9 and MMP‐2 present in the sera of MS patients. The enzymes were separated on the basis of their isoelectric points (pI) and apparent molecular weights (Mw) and identified both by comparison with standard enzyme preparations and by Western blot analysis. Two MMP‐2 isoforms, and at least three different isoforms and two different states of organization of MMP‐9 (the multimeric MMP‐9 and the N‐GAL‐MMP‐9 complex) were observed. In addition, 2‐DZ revealed for the first time that all MMP‐9 and MMP‐2 isoforms actually exist in the form of charge variants: four or five variants in the N‐GAL complex, more charge variants in the case of MMP‐9; and five to seven charge variants for MMP‐2. Charge variants were also observed in recombinant enzymes and, after concentration, also in sera from healthy individuals. Sialylation (MMP‐9) and phosphorylation (MMP‐2) contributed to molecular heterogeneity. The detection of charge variants of MMP‐9 and MMP‐2 in MS serum samples illustrates the power of 2‐DZ and demonstrates that in previous studies MMP mixtures, rather than single molecules, were analysed. These observations open perspectives for better diagnosis and prognosis of many diseases and need to be critically interpreted when applying other methods for MS and other diseases.     

A Simplified Thermal Proteome Profiling Approach to Screen Protein Targets of a Ligand

Thermal proteome profiling is a powerful energetic‐based chemical proteomics method to reveal the ligand‐protein interaction. However, the costly multiplexed isotopic labeling reagent, mainly Multiplexed isobaric tandem mass tag (TMT), and the long mass spectrometric time limits the wide application of this method. Here a simple and cost‐effective strategy by using dimethyl labeling technique instead of TMT labeling is reported to quantify proteins and by using the peptides derived from the same protein to determine significantly changed proteins in one LC‐MS run. This method is validated by identifying the known targets of methotrexate and geldanamycin. In addition, several potential off‐targets involved in detoxification of reactive oxygen species pathway are also discovered for geldanamycin. This method is further applied to map the interactome of adenosine triphosphate (ATP) in the 293T cell lysate by using ATP analogue, adenylyl imidodiphosphate (AMP‐PNP), as the ligand. As a result, a total of 123 AMP‐PNP‐sensitive proteins are found, of which 59 proteins are stabilized by AMP‐PNP. Approximately 53% and 20% of these stabilized candidate protein targets are known as ATP and RNA binding proteins. Overall, above results demonstrated that this approach could be a valuable platform for the unbiased target proteins identification with reduced reagent cost and mass spectrometric time.     

Detection of Ubiquitinated Dermcidin in Gingival Crevicular Fluid in Periodontal Disease

Periodontal disease is an inflammatory disease caused by gram-negative bacteria, such as Porphyromonas gingivalis and Actinobacllus actinomycetemcomitans. Antimicrobial peptides kill organisms, such as gram-negative and gram-positive bacteria, mycobacteria, enveloped viruses, and fungi. We previously identified the antimicrobial peptide dermcidin (DCD) in the gingival crevicular fluid (GCF) using proteomic analyses. Moreover, western blot analysis revealed that the molecular weights of GCF protein bands considerably varied (approximately 27 kDa). We attempted to explore the considerable variation in the molecular weights of protein bands using on-membrane digestion and liquid chromatography–tandem mass spectrometry (LC–MS/MS) analyses. We examined ubiquitin among the DCD-interacting proteins. In immunoprecipitation experiments, ubiquitinated DCD was detected by western blotting and by immunoprecipitation with an antibody against DCD and mono- or poly-ubiquitinated proteins. These analyses indicated the possible involvement of the ubiquitination reaction. Ubiquitinated DCD may protect against periodontal bacterial pathogen invasion in GCF.     

Influence of storage conditions on MALDI‐TOF MS profiling of gingival crevicular fluid: Implications on the role of S100A8 and S100A9 for clinical and proteomic based diagnostic investigations

Gingival crevicular fluid (GCF) may be a source of diagnostic biomarkers of periodontitis/gingivitis. However, peptide fingerprints may change, depending on GCF collection, handling and storage. We evaluated how storage conditions affect the quality and the reproducibility of MALDI‐TOF profiles of this fluid. GCF was collected on paper strips from four subjects with healthy gingiva. Our findings demonstrated that sample storage conditions significantly affect GCF peptide pattern over time. Specifically, the storage of GCF immediately extracted from paper strips generates less variations in molecular profiles compared to the extraction performed after the storage. Significant spectral changes were detected for GCF samples stored at –20°C directly on the paper strips and extracted after three months, in comparison to the freshly extracted control. Noteworthy, a significant decrease in the peak area of HNP‐3, S100A8, full‐length S100A9 and its truncated form were detected after 3 months at –80°C. The alterations found in the “stored GCF” profile not only may affect the pattern‐based biomarker discovery but also make its use not adequate for in vitro diagnostic test targeting S100A8, S100A9 proposed as potential diagnostic biomarkers for periodontal disease. In summary, this study shows that the best preserved signatures were obtained for the GCF samples eluted in trifluoroacetic acid and then immediately stored at –80°C for 1 month. The wealth of information gained from our data on protein/patterns stability after storage might be helpful in defining new protocols which enable optimal preservation of GCF specimen.     

Proteomics-based validation of genomic data: applications in colorectal cancer diagnosis

Multiple factors are involved in the translation of functional genomic results into proteins for proteome research and target validation on tumoral tissues. In this report, genes were selected by using DNA microarrays on a panel of colorectal cancer (CRC) paired samples. A large number of up-regulated genes in colorectal cancer patients were investigated for cellular location, and those corresponding to membrane or extracellular proteins were used for a non-biased expression in Escherichia coli. We investigated different sources of cDNA clones for protein expression as well as the influence of the protein size and the different tags with respect to protein expression levels and solubility in E. coli. From 29 selected genes, 21 distinct proteins were finally expressed as soluble proteins with, at least, one different fusion protein. In addition, seven of these potential markers (ANXA3, BMP4, LCN2, SPARC, SPP1, MMP7, and MMP11) were tested for antibody production and/or validation. Six of the seven proteins (all except SPP1) were confirmed to be overexpressed in colorectal tumoral tissues by using immunoblotting and tissue microarray analysis. Although none of them could be associated to early stages of the tumor, two of them (LCN2 and MMP11) were clearly overexpressed in late Dukes' stages (B and C). This proteomic study reveals novel clues for the assembly of a robust and highly efficient high throughput system for the validation of genomic data. Moreover it illustrates the different difficulties and bottlenecks encountered for performing a quick conversion of genomic results into clinically useful proteins.     

Ratio of Pro-Resolving and Pro-Inflammatory Lipid Mediator Precursors as Potential Markers for Aggressive Periodontitis

Aggressive periodontitis (AgP) is a rapidly progressing type of periodontal disease in otherwise healthy individuals which causes destruction of the supporting tissues of the teeth. The disease is initiated by pathogenic bacteria in the dental biofilm, and the severity of inflammation and attachment loss varies with the host response. Recently, there has been an increased interest in determining the role of lipid mediators in inflammatory events and the concept of pro-inflammatory and pro-resolution lipid mediators has been brought into focus also in periodontal disease. The present study aimed to determine the profile of omega-3 or n3- as well as omega-6 or n6- polyunsaturated fatty acids (PUFAs) and PUFA-metabolites of linoleic acid, arachidonic acid (AA), eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in gingival crevicular fluid (GCF), saliva and serum in AgP patients and healthy controls. In total, 60 selected n3- and n6-PUFAs and various PUFA metabolites were measured using high performance liquid chromatography-tandem electrospray ionisation mass spectrometry (HPLC-ESI-MS-MS). Of these, 51 could be quantified in this study. The concentrations of the majority were low in saliva samples compared with serum and GCF, but were mainly higher in AgP patients compared with healthy controls in all three kinds of sample. Ratios of n3- to n6-PUFAs (DHA + EPA)/AA were significantly lower in the GCF of AgP patients than in the healthy controls. Furthermore, various ratios of the direct precursors of the pro-resolution lipid mediators (precursors of resolvins and protectins) were calculated against the precursors of mainly pro-inflammatory lipid mediators. These ratios were mainly lower in GCF and saliva of AgP patients, compared with healthy controls, but only reached significance in GCF (P<0.05). To conclude, the ratios of precursors of pro-resolution/pro-inflammatory lipid mediators seem to be more relevant for describing the disease status of AgP than the concentration of specific lipid mediators.     

SIMSI-Transfer: Software-Assisted Reduction of Missing Values in Phosphoproteomic and Proteomic Isobaric Labeling Data Using Tandem Mass Spectrum Clustering

Isobaric stable isotope labeling techniques such as tandem mass tags (TMTs) have become popular in proteomics because they enable the relative quantification of proteins with high precision from up to 18 samples in a single experiment. While missing values in peptide quantification are rare in a single TMT experiment, they rapidly increase when combining multiple TMT experiments. As the field moves toward analyzing ever higher numbers of samples, tools that reduce missing values also become more important for analyzing TMT datasets. To this end, we developed SIMSI-Transfer (Similarity-based Isobaric Mass Spectra 2 [MS2] Identification Transfer), a software tool that extends our previously developed software MaRaCluster (© Matthew The) by clustering similar tandem MS2 from multiple TMT experiments. SIMSI-Transfer is based on the assumption that similarity-clustered MS2 spectra represent the same peptide. Therefore, peptide identifications made by database searching in one TMT batch can be transferred to another TMT batch in which the same peptide was fragmented but not identified. To assess the validity of this approach, we tested SIMSI-Transfer on masked search engine identification results and recovered >80% of the masked identifications while controlling errors in the transfer procedure to below 1% false discovery rate. Applying SIMSI-Transfer to six published full proteome and phosphoproteome datasets from the Clinical Proteomic Tumor Analysis Consortium led to an increase of 26 to 45% of identified MS2 spectra with TMT quantifications. This significantly decreased the number of missing values across batches and, in turn, increased the number of peptides and proteins identified in all TMT batches by 43 to 56% and 13 to 16%, respectively.     

Evaluation of the Potential Risk of Advanced Peak Determination in Distorting Isobaric Labeling‐Based Single‐Shot Proteome Quantitation

The recent development and implementation of the advanced peak determination (APD) algorithm with MS instrument dramatically increased the sampling of low abundance features for MS/MS fragmentation. After in‐depth evaluation, it is found that with APD on, many chimeric spectra are acquired through co‐fragmentation of high abundance contaminants with low abundance targets, and such co‐fragmentations are largely avoided when APD is off. To evaluate whether such a co‐fragmentation could significantly distort the accuracy of the isobaric‐labeling based quantitation of the low abundance target, a single‐shot TMT experiment is performed using a two‐proteome model, whereby each TMT channel contains premixed peptides from human and a cyanobacterium with a known ratio. Unexpectedly, it is found that APD does not significantly distort TMT ratios, probably because the majority of the APD‐specific chimeric spectra are not identifiable. Nevertheless, a few examples of significant distortion of TMT ratios of low abundance peptides caused by APD is found through manual inspection, and suggests that APD should be off in a single‐shot TMT experiment to avoid the laborious and time‐costing manual inspection.     

Global Metabolomic Analysis of Human Saliva and Plasma from Healthy and Diabetic Subjects,with and without Periodontal Disease

Recent studies suggest that periodontal disease and type 2 diabetes mellitus are bi-directionally associated. Identification of a molecular signature for periodontitis using unbiased metabolic profiling could allow identification of biomarkers to assist in the diagnosis and monitoring of both diabetes and periodontal disease. This cross-sectional study identified plasma and salivary metabolic products associated with periodontitis and/or diabetes in order to discover biomarkers that may differentiate or demonstrate an interaction of these diseases. Saliva and plasma samples were analyzed from 161 diabetic and non-diabetic human subjects with a healthy periodontium, gingivitis and periodontitis. Metabolite profiling was performed using Metabolon''s platform technology. A total of 772 metabolites were found in plasma and 475 in saliva. Diabetics had significantly higher levels of glucose and α-hydroxybutyrate, the established markers of diabetes, for all periodontal groups of subjects. Comparison of healthy, gingivitis and periodontitis saliva samples within the non-diabetic group confirmed findings from previous studies that included increased levels of markers of cellular energetic stress, increased purine degradation and glutathione metabolism through increased levels of oxidized glutathione and cysteine-glutathione disulfide, markers of oxidative stress, including increased purine degradation metabolites (e.g. guanosine and inosine), increased amino acid levels suggesting protein degradation, and increased ω-3 (docosapentaenoate) and ω-6 fatty acid (linoleate and arachidonate) signatures. Differences in saliva between diabetic and non-diabetic cohorts showed altered signatures of carbohydrate, lipid and oxidative stress exist in the diabetic samples. Global untargeted metabolic profiling of human saliva in diabetics replicated the metabolite signature of periodontal disease progression in non-diabetic patients and revealed unique metabolic signatures associated with periodontal disease in diabetics. The metabolites identified in this study that discriminated the periodontal groups may be useful for developing diagnostics and therapeutics tailored to the diabetic population.     

Possible relationship between periodontitis and dementia in a North Indian old age population: a pilot study

doi: 10.1111/j.1741‐2358.2010.00441.x Possible relationship between periodontitis and dementia in a North Indian old age population: a pilot study Background: Periodontitis and cognitive impairment or dementia is relatively common among older adults. Few cross‐sectional studies and some longitudinal studies have attempted to link oral health with dementia diagnosis or disease pathology but none has investigated the role of inflammation as a potential mediator. Objectives: This study was planned to establish a relation of inflammatory mediators between periodontitis and dementia. Materials and methods: Fifty‐five patients with severe periodontitis (range 60–69 years), 20 with dementia (10:10 M:F; range 59–69) and 32 healthy controls (range 58–69 years) were selected. The socio‐demographic characteristics, physical health, oral health, education status, and medical status were measured. Serum C‐reactive protein (CRP), matrix metalloproteinase (MMP)‐8, MMP‐9, total IGF‐I, free IGF‐I and TNF‐alpha and GCF MMP‐8 &MMP‐9 were calculated. Results: There was no significant difference between the three groups in the level of education, age, occupation, BMI, CAD, CHF and diabetes except dentate status. After adjusting for age, significant differences were found between patients and controls with respect to gingival inflammation, dental plaque, bleeding on probing and probing pocket depth. Total counts of WBCs, neutrophils, thrombocytic counts and serum CRP, MMP‐8, MMP‐9, TNF‐alpha levels were significantly higher in dementia and periodontitis patients in contrast to healthy controls, while, RBC counts, total IGF‐I and Hb levels were lowered in dementia and periodontitis patients in comparison to healthy controls, although higher in dementia as compared to periodontitis patients. Conclusions: This study data suggest a relationship of inflammatory mediators between periodontitis and dementia. Further exploration of this is warranted.     

Matrix metalloproteinases (MMP-2,9) and their tissue inhibitors (TIMP-1,2) as novel markers of stress response and atherogenesis in children with chronic kidney disease (CKD) on conservative treatment

The system of matrix metalloproteinases (MMPs) and their tissue inhibitors (TIMPs) may play a key role in atherogenesis of chronic kidney disease (CKD) patients by its impact on matrix accumulation. Connections with inflammation, stress, or endothelial dysfunction are also probable. However, the data on correlations between these parameters in CKD patients are scarce in adults and absent in children. The aim of our study was to evaluate serum concentrations of MMP-2, MMP-9, TIMP-1, and TIMP-2, as well as their correlations with markers of stress response (Hsp90-α, anti-Hsp60), endothelial dysfunction (sE-selectin), and inflammation (high-sensitivity C-reactive protein) in CKD children treated conservatively. Thirty-seven patients were divided into two groups according to the CKD stage (gr.CKDI, 19 children with CKD stages 2–3; gr.CKDII, 18 subjects with CKD stages 4–5). Twenty-four age-matched healthy subjects served as controls. Serum concentrations of MMP-2, MMP-9, TIMP-1, TIMP-2, Hsp90-α, anti-Hsp60, and sE-selectin were assessed by ELISA. Median values of MMP-2, MMP-9, TIMP-1, and TIMP-2 were significantly higher in all CKD children vs. controls and were increased in patients with CKD stages 4–5 vs. CKD stages 2–3. Hsp90-α, anti-Hsp60, sE-selectin, and glomerular filtration rate predicted the values of MMPs and TIMPs. Chronic kidney disease in children is characterized by MMP/TIMP system dysfunction, aggravated by the progression of renal failure. Correlations between examined parameters, heat shock proteins, and markers of endothelial damage suggest the possibility of MMP/TIMP application as indicators of stress response and atherogenesis in children with CKD on conservative treatment.     

Pressure Cycling Technology Assisted Mass Spectrometric Quantification of Gingival Tissue Reveals Proteome Dynamics during the Initiation and Progression of Inflammatory Periodontal Disease

Understanding the progression of periodontal tissue destruction is at the forefront of periodontal research. The authors aimed to capture the dynamics of gingival tissue proteome during the initiation and progression of experimental (ligature‐induced) periodontitis in mice. Pressure cycling technology (PCT), a recently developed platform that uses ultra‐high pressure to disrupt tissues, is utilized to achieve efficient and reproducible protein extraction from ultra‐small amounts of gingival tissues in combination with liquid chromatography‐tandem mass spectrometry (MS). The MS data are processed using Progenesis QI and the regulated proteins are subjected to METACORE, STRING, and WebGestalt for functional enrichment analysis. A total of 1614 proteins with ≥2 peptides are quantified with an estimated protein false discovery rate of 0.06%. Unsupervised clustering analysis shows that the gingival tissue protein abundance is mainly dependent on the periodontitis progression stage. Gene ontology enrichment analysis reveals an overrepresentation in innate immune regulation (e.g., neutrophil‐mediated immunity and antimicrobial peptides), signal transduction (e.g., integrin signaling), and homeostasis processes (e.g., platelet activation and aggregation). In conclusion, a PCT‐assisted label‐free quantitative proteomics workflow that allowed cataloging the deepest gingival tissue proteome on a rapid timescale and provided novel mechanistic insights into host perturbation during periodontitis progression is applied.     

Quantitative proteomics suggests decrease in the secretogranin‐1 cerebrospinal fluid levels during the disease course of multiple sclerosis

Multiple sclerosis (MS) is a chronic inflammatory disease of the CNS with unknown cause. Proteins with different abundance in the cerebrospinal fluid (CSF) from relapsing‐remitting MS (RRMS) patients and neurological controls could give novel insight to the MS pathogenesis and be used to improve diagnosis, predict prognosis and disease course, and guide in therapy decisions. We combined iTRAQ labeling and Orbitrap mass spectrometry to discover proteins with different CSF abundance between six RRMS patients and 18 neurological disease controls. From 777 quantified proteins seven were selected as biomarker candidates, namely chitinase‐3‐like protein 1, secretogranin‐1 (Sg1), cerebellin‐1, neuroserpin, cell surface glycoprotein MUC18, testican‐2 and glutamate receptor 4. An independent sample set of 13 early‐MS patients, 13 RRMS patients and 13 neurological controls was used in a multiple reaction monitoring verification study. We found the intracellular calcium binding protein Sg1 to be increased in early‐MS patients compared to RRMS and neurological controls. Sg1 should be included in further studies to elucidate its role in the early phases of MS pathogenesis and its potential as a biomarker for this disease.     

Involvement of Oxidative Stress in Occurrence of Relapses in Multiple Sclerosis: The Spectrum of Oxidatively Modified Serum Proteins Detected by Proteomics and Redox Proteomics Analysis

Multiple sclerosis (MS) is an autoimmune inflammatory demyelinating disease of the central nervous system. Several evidences suggest that MS can be considered a multi-factorial disease in which both genetics and environmental factors are involved. Among proposed candidates, growing results support the involvement of oxidative stress (OS) in MS pathology. The aim of this study was to investigate the role of OS in event of exacerbations in MS on serum of relapsing-remitting (RR-MS) patients, either in relapsing or remitting phase, with respect to serum from healthy subjects. We applied proteomics and redox proteomics approaches to identify differently expressed and oxidatively modified proteins in the low-abundant serum protein fraction. Among differently expressed proteins ceruloplasmin, antithrombin III, clusterin, apolipoprotein E, and complement C3, were up-regulated in MS patients compared with healthy controls. Further by redox proteomics, vitamin D-binding protein showed a progressive trend of oxidation from remission to relapse, respect with controls. Similarly, the increase of oxidation of apolipoprotein A-IV confirmed that levels of OS are elevated with the progression of the disease. Our findings support the involvement of OS in MS and suggest that dysfunction of target proteins occurs upon oxidative damage and correlates with the pathology.     

Quantitation of malondialdehyde in gingival crevicular fluid by a high-performance liquid chromatography-based method

Lipid peroxidation (LPO) has been associated with periodontal disease, and the evaluation of malondialdehyde (MDA) in the gingival crevicular fluid (GCF), an inflammatory exudate from the surrounding tissue of the periodontium, may be useful to clarify the role of LPO in the pathogenesis of periodontal disease. We describe the validation of a method to measure MDA in the GCF using high-performance liquid chromatography. MDA calibration curves were prepared with phosphate-buffered solution spiked with increasing known concentrations of MDA. Healthy and diseased GCF samples were collected from the same patient to avoid interindividual variability. MDA response was linear in the range measured, and excellent agreement was observed between added and detected concentrations of MDA. Samples' intra- and interday coefficients of variation were below 6.3% and 12.4%, respectively. The limit of quantitation (signal/noise=5) was 0.03 μM. When the validated method was applied to the GCF, excellent agreement was observed in the MDA quantitation from healthy and diseased sites, and diseased sites presented more MDA than healthy sites (P<0.05). In this study, a validated method for MDA quantitation in GCF was established with satisfactory sensitivity, precision, and accuracy.