New tools for the investigation of muscle fiber-type spatial distributions across histological sections.

IF 5.3 2区 医学 Q2 CELL BIOLOGY
Anna K Redmond, Tilman M Davies, Matthew R Schofield, Philip W Sheard
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引用次数: 0

Abstract

Background: The functional and metabolic properties of skeletal muscles are partly a function of the spatial arrangement of fibers across the muscle belly. Many muscles feature a non-uniform spatial pattern of fiber types, and alterations to the arrangement can reflect age or disease and correlate with changes in muscle mass and strength. Despite the significance of this event, descriptions of spatial fiber-type distributions across a muscle section are mainly provided qualitatively, by eye. Whilst several quantitative methods have been proposed, difficulties in implementation have meant that robust statistical analysis of fiber type distributions has not yielded new insight into the biological processes that drive the age- or disease-related changes in fiber type distributions.

Methods: We review currently available approaches for analysis of data reporting fast/slow fiber type distributions on muscle sections before proposing a new method based on a generalized additive model. We compare current approaches with our new method by analysis of sections of three mouse soleus muscles that exhibit visibly different spatial fiber patterns, and we also apply our model to a dataset representing the fiber type proportions and distributions of the mouse tibialis anterior.

Results: We highlight how current methods can lead to differing interpretations when applied to the same dataset and demonstrate how our new method is the first to permit location-based estimation of fiber-type probabilities, in turn enabling useful graphical representation.

Conclusions: We present an open-access online application that implements current methods as well as our new method and which aids the interpretation of a variety of statistical tools for the spatial analysis of muscle fiber distributions.

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研究肌肉纤维类型空间分布的新工具。
背景:骨骼肌的功能和代谢特性在一定程度上与肌肉腹部纤维的空间排列有关。许多肌肉具有不均匀的纤维类型空间格局,排列的改变可以反映年龄或疾病,并与肌肉质量和力量的变化相关。尽管这一事件具有重要意义,但对肌肉剖面上空间纤维类型分布的描述主要是通过眼睛定性地提供的。虽然提出了几种定量方法,但在实施过程中存在困难,这意味着对纤维类型分布的可靠统计分析并没有对驱动纤维类型分布中与年龄或疾病相关的变化的生物过程产生新的见解。方法:在提出一种基于广义加性模型的新方法之前,我们回顾了目前可用的数据分析方法,报告肌肉切片上的快/慢纤维类型分布。我们通过分析显示明显不同空间纤维模式的三块小鼠比目鱼肌的切片,将现有方法与我们的新方法进行比较,我们还将我们的模型应用于代表小鼠胫骨前肌纤维类型比例和分布的数据集。结果:我们强调了当前方法在应用于相同数据集时如何导致不同的解释,并展示了我们的新方法如何首次允许基于位置的光纤类型概率估计,从而实现有用的图形表示。结论:我们提出了一个开放获取的在线应用程序,它实现了当前的方法以及我们的新方法,并有助于解释各种用于肌肉纤维分布空间分析的统计工具。
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来源期刊
Skeletal Muscle
Skeletal Muscle CELL BIOLOGY-
CiteScore
9.10
自引率
0.00%
发文量
25
审稿时长
12 weeks
期刊介绍: The only open access journal in its field, Skeletal Muscle publishes novel, cutting-edge research and technological advancements that investigate the molecular mechanisms underlying the biology of skeletal muscle. Reflecting the breadth of research in this area, the journal welcomes manuscripts about the development, metabolism, the regulation of mass and function, aging, degeneration, dystrophy and regeneration of skeletal muscle, with an emphasis on understanding adult skeletal muscle, its maintenance, and its interactions with non-muscle cell types and regulatory modulators. Main areas of interest include: -differentiation of skeletal muscle- atrophy and hypertrophy of skeletal muscle- aging of skeletal muscle- regeneration and degeneration of skeletal muscle- biology of satellite and satellite-like cells- dystrophic degeneration of skeletal muscle- energy and glucose homeostasis in skeletal muscle- non-dystrophic genetic diseases of skeletal muscle, such as Spinal Muscular Atrophy and myopathies- maintenance of neuromuscular junctions- roles of ryanodine receptors and calcium signaling in skeletal muscle- roles of nuclear receptors in skeletal muscle- roles of GPCRs and GPCR signaling in skeletal muscle- other relevant aspects of skeletal muscle biology. In addition, articles on translational clinical studies that address molecular and cellular mechanisms of skeletal muscle will be published. Case reports are also encouraged for submission. Skeletal Muscle reflects the breadth of research on skeletal muscle and bridges gaps between diverse areas of science for example cardiac cell biology and neurobiology, which share common features with respect to cell differentiation, excitatory membranes, cell-cell communication, and maintenance. Suitable articles are model and mechanism-driven, and apply statistical principles where appropriate; purely descriptive studies are of lesser interest.
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