MASS: Muscle and disease in postmenopausal women

MASS：绝经后妇女的肌肉和疾病

基本信息

批准号：
10736293
负责人：
Hailey Rose Banack
金额：
$ 69.5万
依托单位：
STATE UNIVERSITY OF NEW YORK AT BUFFALO
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-01 至 2028-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10736293
关键词：
Acceleration Activities of Daily Living Address Affect Age Aging Algorithms Area Basic Science Biological Markers Black race Blood Chronic Clinical Clinical Research Collection Communities Creatine Data Data Analytics Data Collection Development Diabetes Mellitus Disease Dual-Energy X-Ray Absorptiometry Elderly Epidemiology Ethnic Origin Feedback Fingers Fracture Future Gait speed Gender Geroscience Goals Hand Strength Health High Risk Woman Hispanic Home Impairment Incidence Insulin Intervention Knowledge Life Link Machine Learning Magnetic Resonance Imaging Measurement Measures Metabolic Pathway Methodology Methods Minority Morbidity - disease rate Muscle Muscular Atrophy Not Hispanic or Latino Outcome Participant Pattern Pharmaceutical Preparations Physical Function Physiological Population Population Study Postmenopause Prediabetes syndrome Prevalence Probability Process Prospective, cohort study Protocols documentation Public Health Quality of life Race Research Resources Risk Risk Factors Skeletal Muscle Structural Models Techniques Time United States Woman Women&apos s Health X-Ray Computed Tomography adjudication advanced analytics age related age-related muscle loss blood glucose regulation clinically relevant cohort comorbidity epidemiology study ethnic diversity ethnic minority population experience falls follow-up functional decline functional disability glycemic control healthspan healthy aging improved indexing innovation insight intervention program lean body mass machine learning method men modifiable risk mortality muscle form novel older women pre-clinical programs public health intervention public health research racial diversity racial minority population reduced muscle mass risk prediction risk prediction model risk stratification sample collection sarcopenia screening sedentary lifestyle skeletal muscle wasting therapy design

项目摘要

ABSTRACT Sarcopenia (low muscle mass) and diabetes are two highly prevalent and disabling chronic health conditions affecting older women. There is emerging evidence that diabetes and impaired insulin-glucose homeostasis may accelerate age-related loss of muscle mass. It is critically important to examine modifiable risk factors (e.g., muscle mass, dysglycemia) that contribute to risk of functional impairment, falls and fractures (the 3Fs) in older adults. Our study will address a key knowledge gap: the extent to which insulin-glucose homeostasis is associated with loss of muscle mass over time in aging women and whether this varies by race/ethnicity. Moreover, this study will examine the feedback loop between impaired insulin-glucose homeostasis and loss of skeletal muscle mass. Until recently, the ability to fully characterize change in muscle mass in large studies of community dwelling older adults has been limited by challenges associated with obtaining measures of muscle mass. This is a critical barrier to progress. This project will use a novel at-home remote sample collection protocol (D3Cr method) and finger-prick blood collection kit to examine longitudinal change in muscle mass and insulin-glucose homeostasis in 3177 postmenopausal women from the Women’s Health Initiative (WHI). The WHI is a large, ongoing prospective cohort study of postmenopausal women with 30 years of follow-up. Study participants will be drawn from a WHI sub-cohort, the Long Life Study 2 (LLS2), a diverse cohort of older women (56% from racial/ethnic minority groups; mean age 85 years). The study aims are to: 1) provide insight into longitudinal patterns of change in D3Cr-muscle mass in postmenopausal women as they age, and their risk for functional decline increases, by race/ethnicity, diabetes status, and according to level of glycemic control, 2) examine the cyclical relationship between impaired insulin-glucose homeostasis and change in D3Cr-muscle mass using advanced statistical approaches, and 3) use machine learning methods to develop multivariate risk stratification algorithms, including D3Cr-muscle mass, indices of impaired insulin-glucose homeostasis, and objective measures of functional capacity (grip strength, gait speed), to identify postmenopausal women at highest risk of the 3 Fs. This project addresses an urgent need identified by the NIA for research on geroscience, including research that determines the rate of aging processes and mechanisms underlying age-related change. In the future, these results will be used to develop interventions designed to mitigate harmful effects of sarcopenia and diabetes and promote healthy aging in postmenopausal women, including women from racial/ethnic minority groups that are typically underrepresented in health research.

抽象的肌肉减少症（肌肉质量低）和糖尿病是两种非常普遍且致残的慢性健康状况越来越多的证据表明，糖尿病会影响老年女性。年龄可能会加速与肌肉质量相关的损失，检查可改变的风险因素至关重要。（例如，肌肉质量、血糖异常）会导致功能障碍、跌倒和骨折（3F）的风险我们的研究将解决一个关键的知识差距：胰岛素-葡萄糖稳态的程度。与老年女性随着时间的推移肌肉质量损失有关，以及这是否因种族/民族而异。此外，这项研究将检查胰岛素-葡萄糖稳态受损和胰岛素抵抗丧失之间的反馈回路。直到最近，大型研究才能够充分描述肌肉质量的变化。社区居住的老年人受到与获取肌肉测量相关的挑战的限制这是阻碍该项目取得进展的一个关键障碍。方案（D3Cr 方法）和指尖采血套件，用于检查肌肉质量的纵向变化女性健康倡议 (WHI) 的 3177 名绝经后妇女的胰岛素-血糖稳态。 WHI 是一项针对绝经后女性的大型、持续的前瞻性队列研究，并进行了 30 年的随访。研究参与者将从 WHI 子队列中抽取，即长寿研究 2 (LLS2)，这是一个多元化的老年人队列女性（56% 来自少数种族/族裔群体；平均年龄 85 岁）。该研究旨在：1) 提供见解。研究绝经后妇女 D3Cr 肌肉质量随年龄变化的纵向模式，以及她们的根据种族/民族、糖尿病状况以及血糖水平，功能下降的风险会增加控制，2）检查受损的胰岛素-葡萄糖稳态和变化之间的周期性关系 D3Cr-肌肉质量使用先进的统计方法，以及3）使用机器学习方法来开发多变量风险分层算法，包括 D3Cr-肌肉质量、胰岛素-葡萄糖受损指数稳态和功能能力的客观测量（握力、步态速度），以确定处于 3 F 风险最高的绝经后妇女该项目解决了 3 F 所确定的迫切需求。 NIA 负责老年科学研究，包括确定衰老过程速率和未来，这些结果将用于制定干预措施。旨在减轻肌肉减少症和糖尿病的有害影响，促进绝经后健康老龄化妇女，包括在卫生领域代表性不足的少数种族/族裔群体的妇女研究。