AGING AND SKELETAL MUSCLE--NEW BODY COMPOSITION MODELS

衰老与骨骼肌——新的身体成分模型

基本信息

项目摘要

Skeletal muscle is one of the largest components at the tissue-system level of body composition and is involved in many biological processes. Weakness and frailty in the elderly, osteoporosis, and the cachexia of acquired immunodeficiency syndrome are only a few of the conditions in which muscle plays an important role. Despite the relevance of skeletal muscle to so many acute and chronic conditions, the methods used to estimate muscle in vivo remain limited and understudied. Accumulating evidence strongly suggests that most presently available methods of measuring muscle mass are inaccurate in general or systematically in error when applied to selected groups. The sources of error/bias may include: 1. a failure to account for changes in muscle composition that occur with aging (e.g., decreasing muscle contents of potassium and creatine-phosphate, relative expansion of extracellular fluid, changing fiber-type proportions, and intramuscular adipose tissue deposition); and 2. inadequate adjustment of models/methods for ethnicity (e.g., white-black differences in fiber-type proportions and muscle distribution). A major advance in the study of skeletal muscle in vivo was the introduction of whole-body computerized tomography (CT) and more recently magnetic resonance (MR) imaging. Pilot studies from our laboratory based on CT and other methods demonstrate inaccuracies and large systematic errors in most of the widely used methods for measuring muscle mass in vivo (e.g., neutron activation and CT muscle estimates (X plus/minus SD), 27.5 plus/minus 8.4 kg & 34.4 plus/minus 6.2 kg) differed by an average of 20.0% in healthy men; and anthropometric arm muscle area measurements in elderly women failed to detect significant (p<0.05) reductions in muscle mass. The overall aim of the proposed research program is twofold: to study, using state-of-the-art methods (e.g., MR imaging and spectroscopy, analyses of muscle biopsies, 13C-creatinine kinetics, & genetic markers of racial admixture) the biology (composition, distribution, and function) of skeletal muscle across age, gender, and ethnic groups, and to apply this information to the development of methods that will allow a broad range of investigators to estimate and appropriately interpret whole-body skeletal muscle mass in settings that range from epidemiologic field stations to the research laboratory. The hypotheses will be tested and specific aims carried out in 240 healthy white and black men and women over the age of 18 yrs. This research will fill an important gap in body composition methodology and provide extensive new information on the ethnic-specific changes that occur in muscle with aging.
骨骼肌是组织系统中最大的组成部分之一

项目成果

期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Steven B Heymsfield其他文献

Erratum to: Physiological models of body composition and human obesity
  • DOI:
    10.1186/1743-7075-6-7
  • 发表时间:
    2009-02-16
  • 期刊:
  • 影响因子:
    4.100
  • 作者:
    David G Levitt;Steven B Heymsfield;Richard N Pierson;Sue A Shapses;John G Kral
  • 通讯作者:
    John G Kral
Are Lean Body Mass and Fat-Free Mass the Same or Different Body Components? A Critical Perspective
  • DOI:
    10.1016/j.advnut.2024.100335
  • 发表时间:
    2024-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Steven B Heymsfield;Jasmine Brown;Sophia Ramirez;Carla M Prado;Grant M Tinsley;Maria Cristina Gonzalez
  • 通讯作者:
    Maria Cristina Gonzalez
Muscle matters: the effects of medically induced weight loss on skeletal muscle
肌肉很重要:医学诱导减重对骨骼肌的影响
  • DOI:
    10.1016/s2213-8587(24)00272-9
  • 发表时间:
    2024-11-01
  • 期刊:
  • 影响因子:
    41.800
  • 作者:
    Carla M Prado;Stuart M Phillips;M Cristina Gonzalez;Steven B Heymsfield
  • 通讯作者:
    Steven B Heymsfield
Beyond Traditional Body Composition Metrics: Load-Capacity Indices Emerge as Predictors of Cardiometabolic Outcomes—A Systematic Review and Meta-Analysis
超越传统身体成分指标:负荷能力指数成为心脏代谢结果的预测因子——一项系统综述和荟萃分析
  • DOI:
    10.1016/j.advnut.2024.100364
  • 发表时间:
    2025-02-01
  • 期刊:
  • 影响因子:
    9.200
  • 作者:
    Zhongyang Guan;Marianna Minnetti;Steven B Heymsfield;Eleonora Poggiogalle;Carla M Prado;Marc Sim;Blossom CM Stephan;Jonathan CK Wells;Lorenzo M Donini;Mario Siervo
  • 通讯作者:
    Mario Siervo

Steven B Heymsfield的其他文献

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{{ truncateString('Steven B Heymsfield', 18)}}的其他基金

MRI Visceral Adipose Tissue Partitioning:Advanced Models
MRI 内脏脂肪组织分区:高级模型
  • 批准号:
    6720003
  • 财政年份:
    2003
  • 资助金额:
    $ 24.76万
  • 项目类别:
MRI Visceral Adipose Tissue Partitioning:Advanced Models
MRI 内脏脂肪组织分区:高级模型
  • 批准号:
    6837066
  • 财政年份:
    2003
  • 资助金额:
    $ 24.76万
  • 项目类别:
Skeletal Muscle: Advanced Methods and Models
骨骼肌:先进方法和模型
  • 批准号:
    7044987
  • 财政年份:
    2003
  • 资助金额:
    $ 24.76万
  • 项目类别:
AGING AND SKELETAL MUSCLE--NEW BODY COMPOSITION MODELS
衰老与骨骼肌——新的身体成分模型
  • 批准号:
    2054907
  • 财政年份:
    1995
  • 资助金额:
    $ 24.76万
  • 项目类别:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
身体成分:方法、模型
  • 批准号:
    6517186
  • 财政年份:
    1990
  • 资助金额:
    $ 24.76万
  • 项目类别:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
身体成分:方法、模型
  • 批准号:
    6576911
  • 财政年份:
    1990
  • 资助金额:
    $ 24.76万
  • 项目类别:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
身体成分:方法、模型
  • 批准号:
    6796491
  • 财政年份:
    1990
  • 资助金额:
    $ 24.76万
  • 项目类别:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
身体成分:方法、模型
  • 批准号:
    6700191
  • 财政年份:
    1990
  • 资助金额:
    $ 24.76万
  • 项目类别:
MEDICAL APPLICATIONS--HIGH PRECISION IN BODY COMPOSITION
医疗应用——高精度身体成分
  • 批准号:
    6176568
  • 财政年份:
    1990
  • 资助金额:
    $ 24.76万
  • 项目类别:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
身体成分:方法、模型
  • 批准号:
    6796483
  • 财政年份:
    1990
  • 资助金额:
    $ 24.76万
  • 项目类别:
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