Dataset Information

Proteomic Analysis, Immune Dysregulation, and Pathway Interconnections with Obesity.

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 data sets, 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 plasma proteomic data from 3 separate sample sets of postmenopausal women to identify the pathways that are altered in subjects with a high body mass index (BMI) compared to normal BMI. We found many pathways consistently and significantly associated with inflammation dysregulated in plasma from obese/overweight subjects compared to plasma from normal BMI subjects. These pathways indicate alterations of soluble inflammatory regulators, cellular stress, and metabolic dysregulation. Our results highlight the importance of high-dimensional pathway analysis in complex diseases as well as provide information on the interconnections between pathways that are dysregulated with obesity. Specifically, overlap of obesity related pathways with those activated during cancer and infection could help describe why obesity is a risk factor for disease and help devise treatment options that mitigate its effect.

SUBMITTER: Garrison CB

PROVIDER: S-EPMC5234688 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

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Proteomic Analysis, Immune Dysregulation, and Pathway Interconnections with Obesity.

Garrison Carly B CB Lastwika Kristin J KJ Zhang Yuzheng Y Li Christopher I CI Lampe Paul D PD

Journal of proteome research 20161114 1

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 data sets, 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 ...[more]

PMID: 27769113

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Dataset Information

Proteomic Analysis, Immune Dysregulation, and Pathway Interconnections with Obesity.

Publications

Proteomic Analysis, Immune Dysregulation, and Pathway Interconnections with Obesity.

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