Dataset Information

Gricat

ABSTRACT: gricat

INSTRUMENT(S): LTQ

ORGANISM(S): Saccharomyces Cerevisiae

SUBMITTER: Ying W, Jiang Y, Guo L, Hao Y, Zhang Y, Wu S, Zhong F, Wang J, Shi R, Li D, Wan P, Li X, Wei H, Li J, Wang Z, Xue X, Cai Y, Zhu Y, Qian X, He F

PROVIDER: PAe000151 | PeptideAtlas | 2001-12-31

REPOSITORIES: PeptideAtlas

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	PAe000151_403_search.params.tar.gz	Other
	PAe000151_403_searchdatabase_spectrast.splib	Other
	PAe000151_403_searchdatabase_tandem.fasta	Fasta
	PAe000151_403_spectrast.params	Other
	PAe000151_403_tandem.params	Other

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Publications

Integrated genomic and proteomic analyses of a systematically perturbed metabolic network.

Ideker T T Thorsson V V Ranish J A JA Christmas R R Buhler J J Eng J K JK Bumgarner R R Goodlett D R DR Aebersold R R Hood L L

Science (New York, N.Y.) 20010501 5518

We demonstrate an integrated approach to build, test, and refine a model of a cellular pathway, in which perturbations to critical pathway components are analyzed using DNA microarrays, quantitative proteomics, and databases of known physical interactions. Using this approach, we identify 997 messenger RNAs responding to 20 systematic perturbations of the yeast galactose-utilization pathway, provide evidence that approximately 15 of 289 detected proteins are regulated posttranscriptionally, and ...[more]

PMID: 11340206

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Project description:Background: Extra-articular manifestations of rheumatoid arthritis (RA), potentially due to systemic inflammation, include cardiovascular disease and sarcopenic obesity. Adiponectin, an adipose-derived cytokine, has been implicated in inflammatory processes in RA, but little is known regarding its association with inflammation in a pre-clinical period. Therefore, we investigated whether adiponectin was associated with inflammatory markers in individuals at risk for RA, and whether RA-related autoimmunity modifies these associations. Methods: We analyzed samples from 144 first-degree relatives (FDRs) of RA probands, of whom 23 were positive for anti-cyclic citrullinated peptide antibody and/or ≥ 2 rheumatoid factor isotypes (IgM, IgG or IgA). We called this phenotype the ‘high risk autoantibody profile (HRP)’ as it has been shown in prior work to be >96% specific for future RA. We measured adiponectin, cytokines/chemokines, and high-sensitivity C-reactive protein (hsCRP). Using linear mixed effects models, we evaluated interaction between HRP positivity and adiponectin on inflammatory markers, adjusting for age, sex, ethnicity, body mass index, pack-years smoking, and use of cholesterol-lowering medications. Results: In everyone, adiponectin concentration was inversely associated with hsCRP and IL-1b in adjusted models, where a 1% higher adiponectin was associated with a 26% lower hsCRP (p=0.04) and a 26% lower IL-1b (p=0.04). Significant interactions between HRP and adiponectin for associations with GM-CSF, IL-6, and IL-9 were detected in fully adjusted models (p=0.0006, p=0.006, p=0.01, respectively). In HRP positive FDRs but not HRP negative FDRs, a 1% higher adiponectin was associated with 97% higher GM-CSF, 73% higher IL-6, and 54% higher IL-9 concentrations. Conclusions: Adiponectin associates with inflammatory markers, and these associations differ in individuals with a high-risk autoantibody profile compared with those without. The interaction between adiponectin and autoimmunity may occur systemically, rather than at the joint, which may provide insight into the systemic effects of RA-related autoantibodies and inflammation in the absence of clinically apparent RA.