Binder-Markey Benjamin I, Broda Nicole M, Lieber Richard L
Shirley Ryan AbilityLab, Chicago, IL, United States.
Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, United States.
Front Physiol. 2020 Apr 17;11:293. doi: 10.3389/fphys.2020.00293. eCollection 2020.
The passive load bearing properties of muscle are poorly understood partly due to challenges in identifying the connective tissue structures that bear loads. Prior attempts to correlate passive mechanical properties with collagen content (often expressed as a mass ratio and used as a surrogate for connective tissue quantity within muscle) have not been successful. This is likely a result of not accounting for variability in intramuscular connective tissue throughout a muscle such that a single collagen content value likely does not adequately represent the connective tissue load bearing capacity of a muscle. Therefore, the purpose of this study was to determine how intramuscular connective tissue distribution throughout a muscle impacts measured collagen content. For this analysis, four mouse hindlimb muscles were chosen because of their varying actions and anatomy; rectus femoris, semimembranosus, tibialis anterior, and lateral gastrocnemius. Collagen content throughout each muscle was determined biochemically using an optimized hydroxyproline assay. Dense connective tissue distribution throughout each muscle's length was quantified histologically. We found that collagen content varied widely within and between muscles, from 3.6 ± 0.40 SEM μg/mg wet weight to 15.6 ± 1.58 SEM μg/mg, which is dependent on both the specific location within a muscle and particular muscle studied. Both collagen content and connective tissue structures demonstrated stereotypically patterns with the highest quantity at the proximal and distal ends of the muscles. Additionally, using three independent approaches: (1) linear regression, (2) predictive modeling, and (3) non-linear optimization, we found complementary and corroborating evidence suggesting a causal relationship between a muscle's connective tissue distribution and collagen content. Specifically, we found that muscle collagen content is driven primarily by its dense connective tissue structures due to the extremely high collagen content of connective tissue (227.52-334.69 μg/mg) compared to muscle tissue (1.93-4.03 μg/mg). A consequence of these findings is that a single collagen content measurement does not accurately represent a muscle's complex distribution of connective tissue. Future studies should account for collagen content variations and connective tissue anatomy to establish more accurate relationships between collagen content measurements and whole muscle passive mechanics.
肌肉的被动承重特性尚未得到充分理解,部分原因在于识别承受负荷的结缔组织结构存在挑战。此前将被动力学特性与胶原蛋白含量(通常表示为质量比,并用作肌肉内结缔组织数量的替代指标)相关联的尝试并未成功。这可能是由于未考虑整块肌肉内肌内结缔组织的变异性,以至于单一的胶原蛋白含量值可能无法充分代表肌肉的结缔组织承重能力。因此,本研究的目的是确定整块肌肉内肌内结缔组织分布如何影响所测得的胶原蛋白含量。为了进行此分析,选择了四块小鼠后肢肌肉,因其功能和解剖结构各异;股直肌、半膜肌、胫骨前肌和腓肠外侧肌。使用优化的羟脯氨酸测定法通过生化方法测定每块肌肉中的胶原蛋白含量。通过组织学方法对每块肌肉全长的致密结缔组织分布进行定量。我们发现,肌肉内部和之间的胶原蛋白含量差异很大,从3.6±0.40标准误微克/毫克湿重到15.6±1.58标准误微克/毫克,这取决于肌肉内的特定位置以及所研究的特定肌肉。胶原蛋白含量和结缔组织结构在肌肉的近端和远端均呈现出典型的模式,数量最高。此外,通过三种独立方法:(1)线性回归,(2)预测建模,以及(3)非线性优化,我们发现了互补且相互印证的证据,表明肌肉的结缔组织分布与胶原蛋白含量之间存在因果关系。具体而言,我们发现肌肉胶原蛋白含量主要由其致密结缔组织结构驱动,因为与肌肉组织(1.93 - 4.03微克/毫克)相比,结缔组织的胶原蛋白含量极高(227.52 - 334.69微克/毫克)。这些发现的一个结果是,单一的胶原蛋白含量测量并不能准确代表肌肉结缔组织的复杂分布。未来的研究应考虑胶原蛋白含量的变化和结缔组织解剖结构,以建立胶原蛋白含量测量与整块肌肉被动力学之间更准确的关系。