2016
DOI: 10.1021/acs.jproteome.6b00611
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Abstract: Proteomic studies can offer information on hundreds to thousands of proteins and potentially provide researchers with a comprehensive understanding of signaling response during stress and disease. Large datasets, such as those obtained in high-dimensional proteomic studies, can be leveraged for pathway analysis to discover or describe the biological implications of clinical disease states. Obesity is a worldwide epidemic that is considered a risk factor for numerous other diseases. We performed analysis on pla… Show more

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Cited by 8 publications
(12 citation statements)
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“…A number of high‐throughput, high‐density quantitative proteomics methods have been used to study protein interactions and networks in blood, serum, and plasma as the basis of disease. Large datasets, such as those obtained in high‐dimensional proteomic studies from microarray and MS‐based platforms, can be leveraged for pathway analysis to discover or describe the biological implications of clinical disease states …”
Section: Investigation Into Disease Biology Via Proteomics Approachesmentioning
confidence: 99%
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“…A number of high‐throughput, high‐density quantitative proteomics methods have been used to study protein interactions and networks in blood, serum, and plasma as the basis of disease. Large datasets, such as those obtained in high‐dimensional proteomic studies from microarray and MS‐based platforms, can be leveraged for pathway analysis to discover or describe the biological implications of clinical disease states …”
Section: Investigation Into Disease Biology Via Proteomics Approachesmentioning
confidence: 99%
“…The authors found significant dysregulation of the cell stress response (HIF‐1, FoxO, Phospholipase D, TNF, AGE/RAGE, IL‐6, and apoptotic signaling pathways), metabolism (leptin signaling and insulin receptor signaling pathways), and inflammatory (PI3K, cytokine and adipokine, and AGE/RAGE pathways) pathways. This broad multi‐pathway, multi‐study approach to a single disease state allowed identification of whole biological systems (inflammatory mediators, cellular stress, and metabolic dysregulation) that were altered as well as identification of significant pathways relevant to the disease—even a few that may have been missed in looking at only one study (NF‐κB, MAPK, and JAK‐STAT, specifically) . Caira et al.…”
Section: Investigation Into Disease Biology Via Proteomics Approachesmentioning
confidence: 99%
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“…As proteins provide a broad picture of patient phenotype, proteomics discovery approach can be used to discover the molecular malfunctions related to diseases and their progression in individual patients. Accessibility and the extensive potential to reflect metabolic state makes human blood plasma and serum the predominant source material for clinical analyses. However, there appears to be a surprising paucity of data in the literature characterizing the effect of obesity on the global proteome of human plasma.…”
Section: Introductionmentioning
confidence: 99%
“…Increased adiposity is a risk factor for at least 13 types of cancers (1,6) and has been shown to increase inflammatory responses, with obesity characterized as a "low-grade chronic inflammatory state" (7,8). In addition, growth factors and hormones such as insulin-like growth factor 1 (IGF1), insulin, and leptin (LEP) are increased with higher adiposity (9).…”
Section: Introductionmentioning
confidence: 99%