AGING AND SKELETAL MUSCLE--NEW BODY COMPOSITION MODELS
AGING AND SKELETAL MUSCLE--NEW BODY COMPOSITION MODELS
批准号:
2054906
负责人:
Steven B Heymsfield
金额:
$24.76万
依托单位国家:
美国
项目类别:
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-04-17 至 1999-03-31
关键词:
African American adolescence (12-20) adult human (21+) aging biopsy body composition caucasian American creatinine gas chromatography mass spectrometry gender difference genetic markers genetics human subject magnetic resonance imaging mathematical model method development model design /development muscle function nuclear magnetic resonance spectroscopy racial /ethnic difference striated muscles urinalysis
中文摘要
点击翻译按钮获取中文摘要
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
MRI Visceral Adipose Tissue Partitioning:Advanced Models
-
批准号:6720003
-
项目类别:
-
资助金额:$16.14万
-
财政年份:2003
-
负责人:Steven B Heymsfield
-
依托单位:
MRI Visceral Adipose Tissue Partitioning:Advanced Models
-
批准号:6837066
-
项目类别:
-
资助金额:$16.14万
-
财政年份:2003
-
负责人:Steven B Heymsfield
-
依托单位:
Skeletal Muscle: Advanced Methods and Models
-
批准号:7044987
-
项目类别:
-
资助金额:$0.19万
-
财政年份:2003
-
负责人:Steven B Heymsfield
-
依托单位:
AGING AND SKELETAL MUSCLE--NEW BODY COMPOSITION MODELS
-
批准号:2054907
-
项目类别:
-
资助金额:$7.2万
-
财政年份:1995
-
负责人:Steven B Heymsfield
-
依托单位:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
-
批准号:6517186
-
项目类别:
-
资助金额:$123.99万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
-
批准号:6576911
-
项目类别:
-
资助金额:$4.16万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
-
批准号:6796491
-
项目类别:
-
资助金额:$6.57万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
-
批准号:6700191
-
项目类别:
-
资助金额:$1.23万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
MEDICAL APPLICATIONS--HIGH PRECISION IN BODY COMPOSITION
-
批准号:6176568
-
项目类别:
-
资助金额:$121.32万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
-
批准号:6796483
-
项目类别:
-
资助金额:$6.34万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
-
批准号:6800877
-
项目类别:
-
资助金额:$1.85万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
-
批准号:6574843
-
项目类别:
-
资助金额:$5.41万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
MEDICAL APPLICATIONS--HIGH PRECISION IN BODY COMPOSITION
-
批准号:2905415
-
项目类别:
-
资助金额:$132.15万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
-
批准号:6800874
-
项目类别:
-
资助金额:$6.92万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
-
批准号:6703006
-
项目类别:
-
资助金额:$5.79万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
-
批准号:6613673
-
项目类别:
-
资助金额:$5.72万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
-
批准号:6652386
-
项目类别:
-
资助金额:$6.97万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
-
批准号:6796984
-
项目类别:
-
资助金额:$6.57万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
MEDICAL APPLICATIONS--HIGH PRECISION IN BODY COMPOSITION
-
批准号:6353340
-
项目类别:
-
资助金额:$4.01万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位:
BODY COMPOSITION: METHODS, MODEL & CLINICAL APPLICATION
-
批准号:6266837
-
项目类别:
-
资助金额:$133.87万
-
财政年份:1990
-
负责人:Steven B Heymsfield
-
依托单位: