Biomarkers and Genetic Factors Related to Sarcopenia in Women
Biomarkers and Genetic Factors Related to Sarcopenia in Women
批准号:
7866640
负责人:
Zhao Chen
金额:
$61.18万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-15 至 2012-06-30
关键词:
AcidsAgeArtsBiological AssayBiological MarkersBlood specimenBody CompositionC-reactive proteinChronic DiseaseCollaborationsCorrelation StudiesData AnalysesDatabasesDevelopmentDietDiseaseDual-Energy X-Ray AbsorptiometryElderlyEnvironmental Risk FactorEthnic OriginEthnic groupGeneticGenetic VariationGrowth FactorHealthHispanicsHormonalHormonesIGF1 geneIL6 geneImpairmentInflammatoryInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IInterleukin-1Interleukin-6InterventionMeasurementMeasuresMethodsModelingMuscleNot Hispanic or LatinoObservational StudyOlder PopulationOutcomeParticipantPersonsPhysical FunctionPhysical activityPlayPopulation StudyPostmenopausePreventionProspective StudiesQuality of lifeRecommendationRelative (related person)ResearchResearch DesignResearch PersonnelResourcesRiskRoleSample SizeSamplingScanningSkeletal MuscleSomatotropinSpecimenTNF geneTechniquesTestingTumor Necrosis Factor-alphaUnited StatesWomanWomen&aposs Healthadiponectinage relatedanakinracohortcostcytokinedisabilityexperiencefollow-upgenetic analysisgenetic risk factorgenetic varianthigh riskhuman TNF proteininnovationmenmuscle formnew technologynormal agingolder womenpreventprogramssarcopenia
中文摘要
描述(由申请人提供):低相对骨骼肌量(SMM)或肌肉减少症是老年人身体功能下降的重要原因。遗传风险因素及其与环境因素在衰老相关的SMM损失中的相互作用知之甚少。有一些迹象表明,炎症因子和合成代谢激素水平降低与肌肉质量降低有关。这些关联需要在更大规模的前瞻性研究中得到证实,每种已确定的生物标志物在肌肉减少症发展中的确切作用仍有待研究。由于在老年生活中,身体功能损伤和残疾在女性中比在男性中更为普遍,因此了解老年女性肌肉损失的机制和预防肌肉减少症尤为重要。本研究的主要目的是确定与老年妇女低SMM和高SMM损失率相关的遗传因素和生物标志物。我们将实现两个具体目标:1)评估细胞因子和激素因子与低SMM和SMM损失率的关系;2)评估遗传变异在分解代谢炎症因子(IL-6、IL-1、tnf - α)和合成代谢生长因子(IGF1、生长激素)中与SMM和SMM损失率相关的作用,在大量西班牙裔和非西班牙裔白人绝经后妇女中。研究参与者来自妇女健康倡议观察性研究。在9年的随访期间,所有这些妇女都使用双能x线吸收仪(DXA)重复测量身体成分。他们的SMM将使用本研究小组开发的dxa衍生方法进行评估。将对整个样本(n = 2800)评估选定的分解代谢因子(如il -1、il - 6、TNF-a)和合成代谢因子(如IGF-1和GH)的遗传变异。生物标志物分析,包括IL-6、TNF-a、脂联素、c反应蛋白、IL-1ra、IL-6sR、TNF- Rll、酸不稳定亚基jgf -1和IGFBP-3,将在50%的研究参与者中进行。在最后的数据分析中将使用回归和混合效应模型。本研究在研究设计、生物测定方法的选择和研究人群方面具有独特性和创新性。本研究的结果将对预防和减少与美国老年妇女肌肉减少症相关的不良健康结果产生重大影响。
英文摘要
DESCRIPTION (provided by applicant): Low relative skeletal muscle mass (SMM) or sarcopenia significantly contributes to the decline in physical functioning among the elderly. Very little is known about genetic risk factors and their interactions with environmental factors in aging-related SMM loss. There are some indications that inflammatory factors and reduced levels of anabolic hormones are associated with lower muscle mass. These associations need to be confirmed in larger prospective studies and the exact role of each identified biomarker in the development of sarcopenia remains to be investigated. Since physical function impairment and disability are more prevalent in women than in men during later life, it is especially important to understand the mechanisms of muscle loss and to prevent sarcopenia among older women. The primary objective of this study is to identify genetic factors and biomarkers that are relevant to low SMM and high rates of SMM loss in older women. We will achieve two specific aims: 1) assess the association of cytokines and hormonal factors with low SMM and the rate of SMM loss; and 2) evaluate the role of genetic variation in catabolic inflammatory cytokines (IL-6, IL-1, TNF-alpha) as well as in anabolic growth factors (IGF1, Growth Hormone) related to SMM and the rate of SMM loss in a large cohort of Hispanic and non-Hispanic White postmenopausal women. Study participants will come from the Women's Health Initiative Observational Study. All of these women have had repeat body composition measurements by using Dual-energy X-ray Absorptiometry (DXA) during the nine- year follow-up. Their SMM will be assessed using a DXA-derived method developed by this research team. Genetic variations in selected catabolic (e.g.IL-1, IL6, TNF-a) as well as anabolic (e.g. IGF-1, and GH) factors will be assessed for the entire sample (n = 2800). Analyses of biomarkers, including IL-6, TNF-a, adiponectin, C-reactive protein, IL-1ra, IL-6sR, TNF Rll, acid labile subunitJGF-1, and IGFBP-3, will be conducted among 50 percent of the participants in this study. Regression and mixed effects models will be used in the final data analysis. This study is unique and innovative in the study design, selection of bioassays, and the study population. Results of this study will have significant impacts on the prevention and reduction of adverse health outcomes associated with sarcopenia of older women in the United States.
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