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

Human genomics and proteomics : HGP Pub Date : 2011-01-01 Epub Date: 2011-10-06 DOI:10.4061/2011/323629
Stephen W Rothwell, Merrily Poth, Harkirtin McIver, Chiedozie Ayika, Ofer Eidelman, Catherine Jozwik, Harvey B Pollard
{"title":"Plasma Proteomic Signature in Overweight Girls Closely Correlates with Homeostasis Model Assessment (HOMA), an Objective Measure of Insulin Resistance.","authors":"Stephen W Rothwell,&nbsp;Merrily Poth,&nbsp;Harkirtin McIver,&nbsp;Chiedozie Ayika,&nbsp;Ofer Eidelman,&nbsp;Catherine Jozwik,&nbsp;Harvey B Pollard","doi":"10.4061/2011/323629","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":88887,"journal":{"name":"Human genomics and proteomics : HGP","volume":"2011 ","pages":"323629"},"PeriodicalIF":0.0000,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4061/2011/323629","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human genomics and proteomics : HGP","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4061/2011/323629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2011/10/6 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

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.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
超重女孩的血浆蛋白质组学特征与体内平衡模型评估(HOMA)密切相关,这是胰岛素抵抗的客观指标。
众所周知,肥胖与许多长期疾病有关,虽然在某些情况下,肥胖与其后果的关系是明确的(例如,超重和下肢矫形问题),但在其他情况下,其机制尚不清楚。根据负面后果的可能性对超重进行分类的一个常见系统涉及使用“代谢综合征”的概念。我们假设,与目前的临床分类相比,超重青少年有无代谢综合征的血浆蛋白谱的发展可能提供更精确和信息丰富的疾病过程图景,并允许早期有针对性的干预。在本文中,我们使用抗体微阵列分析了一组15名超重女性青少年患者的血浆蛋白质组。在蛋白质组分析中,超重患者与非超重女性对照组存在差异。此外,通过分析将超重患者分为两个群体,每个群体都有不同的蛋白质表达模式。有趣的是,通过HOMA测量,这些群集的特征是胰岛素抵抗的差异。根据有无代谢综合征进行分类并没有产生这样的群集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Plasma Proteomic Signature in Overweight Girls Closely Correlates with Homeostasis Model Assessment (HOMA), an Objective Measure of Insulin Resistance. Pharmacogenetics of anticoagulants. Genome-wide linkage and association scans for quantitative trait Loci of serum lactate dehydrogenase-the framingham heart study. Pharmacogenomics of mood stabilizers in the treatment of bipolar disorder. Developmental pharmacogenetics in pediatric rheumatology: utilizing a new paradigm to effectively treat patients with juvenile idiopathic arthritis with methotrexate.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1