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Plasma Proteomic Signature in Overweight Girls Closely Correlates with Homeostasis Model Assessment (HOMA), an Objective Measure of Insulin Resistance

Obesity is known to be associated with a large number of long-term morbidities, and while in some cases the relationship of obesity and the consequences is clear (for example, excess weight and lower extremity orthopedic problems) in others the mechanism is not as clear. One common system of categor...

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Autores principales: Rothwell, Stephen W., Poth, Merrily, McIver, Harkirtin, Ayika, Chiedozie, Eidelman, Ofer, Jozwik, Catherine, Pollard, Harvey B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308678/
https://www.ncbi.nlm.nih.gov/pubmed/22442648
http://dx.doi.org/10.4061/2011/323629
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author Rothwell, Stephen W.
Poth, Merrily
McIver, Harkirtin
Ayika, Chiedozie
Eidelman, Ofer
Jozwik, Catherine
Pollard, Harvey B.
author_facet Rothwell, Stephen W.
Poth, Merrily
McIver, Harkirtin
Ayika, Chiedozie
Eidelman, Ofer
Jozwik, Catherine
Pollard, Harvey B.
author_sort Rothwell, Stephen W.
collection PubMed
description Obesity is known to be associated with a large number of long-term morbidities, and while in some cases the relationship of obesity and the consequences is clear (for example, excess weight and lower extremity orthopedic problems) in others the mechanism is not as clear. One common system of categorizing overweight in terms of the likelihood of negative consequences involves using the concept of “metabolic syndrome”. We hypothesized that the development of a plasma protein profile of overweight adolescents with and without the metabolic syndrome might give a more precise and informative picture of the disease process than the current clinical categorization and permit early targeted intervention. For this paper, we used antibody microarrays to analyze the plasma proteome of a group of 15 overweight female adolescent patients. Upon analysis of the proteome, the overweight patients diverged from the nonoverweight female controls. Furthermore, the overweight patients were divided by the analysis into two population clusters, each with distinctive protein expression patterns. Interestingly, the clusters were characterized by differences in insulin resistance, as measured by HOMA. Categorization according to the presence or absence of the metabolic syndrome did not yield such clusters.
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spelling pubmed-33086782012-03-22 Plasma Proteomic Signature in Overweight Girls Closely Correlates with Homeostasis Model Assessment (HOMA), an Objective Measure of Insulin Resistance Rothwell, Stephen W. Poth, Merrily McIver, Harkirtin Ayika, Chiedozie Eidelman, Ofer Jozwik, Catherine Pollard, Harvey B. Hum Genomics Proteomics Research Article Obesity is known to be associated with a large number of long-term morbidities, and while in some cases the relationship of obesity and the consequences is clear (for example, excess weight and lower extremity orthopedic problems) in others the mechanism is not as clear. One common system of categorizing overweight in terms of the likelihood of negative consequences involves using the concept of “metabolic syndrome”. We hypothesized that the development of a plasma protein profile of overweight adolescents with and without the metabolic syndrome might give a more precise and informative picture of the disease process than the current clinical categorization and permit early targeted intervention. For this paper, we used antibody microarrays to analyze the plasma proteome of a group of 15 overweight female adolescent patients. Upon analysis of the proteome, the overweight patients diverged from the nonoverweight female controls. Furthermore, the overweight patients were divided by the analysis into two population clusters, each with distinctive protein expression patterns. Interestingly, the clusters were characterized by differences in insulin resistance, as measured by HOMA. Categorization according to the presence or absence of the metabolic syndrome did not yield such clusters. SAGE Publications 2011-10-06 /pmc/articles/PMC3308678/ /pubmed/22442648 http://dx.doi.org/10.4061/2011/323629 Text en © 2011 Stephen W. Rothwell et al. http://creativecommons.org/licenses/by/2.5/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rothwell, Stephen W.
Poth, Merrily
McIver, Harkirtin
Ayika, Chiedozie
Eidelman, Ofer
Jozwik, Catherine
Pollard, Harvey B.
Plasma Proteomic Signature in Overweight Girls Closely Correlates with Homeostasis Model Assessment (HOMA), an Objective Measure of Insulin Resistance
title Plasma Proteomic Signature in Overweight Girls Closely Correlates with Homeostasis Model Assessment (HOMA), an Objective Measure of Insulin Resistance
title_full Plasma Proteomic Signature in Overweight Girls Closely Correlates with Homeostasis Model Assessment (HOMA), an Objective Measure of Insulin Resistance
title_fullStr Plasma Proteomic Signature in Overweight Girls Closely Correlates with Homeostasis Model Assessment (HOMA), an Objective Measure of Insulin Resistance
title_full_unstemmed Plasma Proteomic Signature in Overweight Girls Closely Correlates with Homeostasis Model Assessment (HOMA), an Objective Measure of Insulin Resistance
title_short Plasma Proteomic Signature in Overweight Girls Closely Correlates with Homeostasis Model Assessment (HOMA), an Objective Measure of Insulin Resistance
title_sort plasma proteomic signature in overweight girls closely correlates with homeostasis model assessment (homa), an objective measure of insulin resistance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308678/
https://www.ncbi.nlm.nih.gov/pubmed/22442648
http://dx.doi.org/10.4061/2011/323629
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