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PMID: 18795103 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Localized-statistical quantification of human serum proteome associated with type 2 diabetes.

PloS one ·Vol. 3 ·No. 9 ·2008-09-16 ·Pages e3224

Li RX, Chen HB, Tu K, Zhao SL, Zhou H, Li SJ, Dai J, Li QR, Nie S, Li YX, Jia WP, Zeng R, Wu JR

Abstract

Recent advances in proteomics have shed light to discover serum proteins or peptides as biomarkers for tracking the progression of diabetes as well as understanding molecular mechanisms of the disease. In this work, human serum of non-diabetic and diabetic cohorts was analyzed by proteomic approach. To analyze total 1377 high-confident serum-proteins, we developed a computing strategy called localized statistics of protein abundance distribution (LSPAD) to calculate a significant bias of a particular protein-abundance between these two cohorts. As a result, 68 proteins were found significantly over-represented in the diabetic serum (p<0.01). In addition, a pathway-associated analysis was developed to obtain the overall pathway bias associated with type 2 diabetes, from which the significant over-representation of complement system associated with type 2 diabetes was uncovered. Moreover, an up-stream activator of complement pathway, ficolin-3, was observed over-represented in the serum of type 2 diabetic patients, which was further validated with statistic significance (p = 0.012) with more clinical samples. The developed LSPAD approach is well fit for analyzing proteomic data derived from biological complex systems such as plasma proteome. With LSPAD, we disclosed the comprehensive distribution of the proteins associated with diabetes in different abundance levels and the involvement of ficolin-related complement activation in diabetes.

MeSH Terms
Aged Biomarkers Blood Proteins/chemistry Cohort Studies Diabetes Mellitus, Type 2/blood,metabolism Disease Progression Electrophoresis, Agar Gel/methods Humans Lectins/biosynthesis Male Middle Aged Models, Statistical Proteomics/methods Reproducibility of Results
Chemicals
Biomarkers Blood Proteins Lectins ficolin
Authors & Affiliations
13 authors, click to expand affiliations / ORCID
Li Rong-Xia
Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Chen Hai-Bing
Tu Kang
Zhao Shi-Lin
Zhou Hu
Li Su-Jun
Dai Jie
Li Qing-Run
Nie Song
Li Yi-Xue
Jia Wei-Ping
Zeng Rong
Wu Jia-Rui
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Article Info
Journal
PloS one
Abbr.
PLoS One
ISSN
1932-6203
DOI
10.1371/journal.pone.0003224
Published
2008-09-16
Epub
2008-00-16
Pages
e3224
Language
English
Region
United States
NLM ID
101285081
PMCID
PMC2529402
Subset
IM
External Links
PubMed source DOI: 10.1371/journal.pone.0003224 PMC Full Text View journal details
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