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A quantitative framework to examine sex differences in musculoskeletal scaling and function

检查肌肉骨骼尺度和功能性别差异的定量框架

基本信息

批准号：
10220349
负责人：
Silvia Salinas Blemker
金额：
$ 45.26万
依托单位：
UNIVERSITY OF VIRGINIA
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-01 至 2026-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10220349
关键词：
Address Adult Affect Age Algorithms Anatomy Architecture Biological Biomechanics Body Size Body mass index Case Study Communities Complement Computer Models Computer Simulation Data Data Set Databases Disease Electromyography Elements Ensure Female Future Gait Goals Height Incidence Individual Injury Joints Kinetics Knee Injuries Lead Lower Extremity Magnetic Resonance Imaging Measurement Measures Mechanics Methods Modeling Motor Movement Muscle Muscle function Musculoskeletal Musculoskeletal Diseases Musculoskeletal System Musculoskeletal structure Neuromuscular Diseases Physical Function Population Predisposition Publishing Research Research Personnel Resource Sharing Resources Role Sex Differences Skeleton Testing Time Uncertainty Walking Work base bone computer framework digital experience health care disparity imaging approach injury recovery innovation insight kinematics limb movement male models and simulation muscle strength musculoskeletal injury neuromuscular novel population based prospective research study segmentation Image analysis sex simulation skeletal tool usability

项目摘要

SUMMARY The goal of this proposal is to develop a quantitative framework to address sex as a biological variable in musculoskeletal modeling and simulation research. This new framework will allow the field to understand how sex differences in musculoskeletal structure influence movement biomechanics, musculoskeletal injury, and neuromuscular disease. There are many known differences in bone anatomy, joint mechanics, muscle architecture, and movement function between males and females. Likewise, it is well documented that there are significant sex differences in susceptibility to musculoskeletal injury and neuromuscular disease. However, while the use of computer simulations of movement to study how musculoskeletal structure influences neuromuscular injury and disease has increased dramatically due to advances in numerical algorithms and computational power, the models that are used are based on musculoskeletal data that (1) are derived from a male-only population, and/or (2) combine measures from males and females in a way that averages out any potential sex differences. These profound limitations leave the field without any tools to examine how the known sex differences in musculoskeletal structures may influence biomechanics, injury, and disease. This project has three key aims that will resolve these profound limitations. The first aim will develop a comprehensive digital database of lower limb muscles, joints, and bones across female and male populations of varying body sizes. This aim will be achieved through using high throughput image segmentation analysis of magnetic resonance images collected of 50 male and 50 female subjects. The second aim will incorporate the measurements from the first aim into a computational framework that enables for accurate sex-specific scaling of lower limb models, including the ability to capture the measured variability in the form of uncertainty analysis. The third aim will use the models in the second aim to develop a model-based analysis method to generate novel insights into sex differences in lower limb biomechanics. The analysis method will be applied to examine sex differences in muscle forces during walking and landing. Taken together, these aims will not only address critical questions related to differences in musculoskeletal structure and function between males and females, but also provide a rigorous, detailed, sex-specific digital database of data and models that will be provided open-access for the entire scientific community to use. This posted resource will empower the field with a set of tools to rigorously examine sex as a biological variable in musculoskeletal modeling research.

总结