Proteomic study of plaque fluid in high caries and caries free children

Author:

Chen Weixu1,He Zhiyan23,Ran Shujun2,Liang Jingping2,Jiang Wei2

Affiliation:

1. Department of Stomatology, Eye and ENT Hospital of Fudan University, Shanghai, China

2. Department of Endodontics and Operative Dentistry, Shanghai Ninth People’s Hospital, College of Stomatology, Shanghai Jiaotong University School of Medicine, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai, China

3. Shanghai Research Institute of Stomatology, Ninth People’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

Abstract

BACKGROUND: The occurrence and development of caries is a complex process affected by multiple factor. OBJECTIVE: The present study was envisaged to evaluate the plaque fluid in caries free children and children with high caries, in order to establish a data set of bacterial secretion proteomics. A non-labeled quantitative technique based on two-dimensional liquid chromatography-series mass spectroscopy was employed to detect plaque fluid. Based on the proteomics data, the database search, data processing and pathway analysis illuminated the function of these proteins, and clarified the role of plaque microecology in caries occurrence and development. METHODS: The study enrolled 8 caries free (CF) children, whose decayed-missed-filled surface of teeth is 0 (dmfs = 0), and caries sensitive (CS) children, whose decayed-missed-filled surface of teeth is > 10(dmfs > 10) (3 ∼ 5 years old) for the smooth tooth plaque and the plaque in the high caries group. The plaque protein was extracted using the unlabeled quantitative technique like liquid chromatography-series mass spectrometry, using DeCyderTM MS Differential Analysis Software (version 1.0, GE Healthcare) that detected and compared the spectra, and quantified the full scanning before series mass spectroscopy. After obtaining all peptides with quantitative information, significantly differential polypeptide molecules were obtained (p< 0.05), and a metabolic pathway analysis was performed. RESULTS: We identified 1,804 peptides with quantitative information, including 39 in CF, 30 in CS, and 1,735 similarly expressing peptides. After statistical analysis, 603 statistically different expression peptide data sets were obtained, including 202 high-expressed peptides in Group CF, 33 greater than 1.5 fold peptides, 401 high-expressed in Group CS and 199 greater than 1.5 fold peptide (173 nonredundant proteins). CONCLUSION: Our study obtained the largest known dataset of the bacterial secretion protein in children with high caries, and screened the data set of high caries state. 603 peptides were statistically rich in 101 pathways, including glycolysis pyruvate acid metabolism, tricarboxylic acid cycle, pentyl phosphate pathway, fructose mannose metabolism, starch and sucrose metabolism, and ABC transporters.

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

Reference19 articles.

1. Microbial risk indicators of early childhood caries;Corby;J Clin Microbiol.,2005

2. Genetic profiling of the oral microbiota associated with severe early-childhood caries;Li;J Clin Microbiol.,2007

3. Relationship between protein components in saliva and plaque fluid and caries susceptibility;Lin;Chinese Journal of Stomatology.,2002

4. Compositional analysis of human acquired enamel pellicle by mass spectrometry;Yao;Arch Oral Biol.,2001

5. Identification of protein components in human acquired enamel pellicle and whole saliva using novel proteomics approaches;Yao;J Biol Chem.,2003

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