Enhancing Interrogation of Skeletal Muscle Samples for Informative Quantitative Data

Author:

Partridge Terence A.12

Affiliation:

1. Professor of Integrative Systemic Biology, George Washington University, Washington DC

2. Honorary Professor, Institute of Child Health, University College London

Abstract

Careful quantitative analysis of histological preparations of muscle samples is crucial to accurate investigation of myopathies in man and of interpretation of data from animals subjected to experimental or potentially therapeutic treatments. Protocols for measuring cell numbers are subject to problems arising from biases associated with preparative and analytical techniques. Prominent among these is the effect of polarized structure of skeletal muscle on sampling bias. It is also common in this tissue to collect data as ratios to convenient reference dominators, the fundamental bases of which are ill-defined, or unrecognized or not accurately assessable. Use of such ‘floating’ denominators raises a barrier to estimation of the absolute values that assume practical importance in medical research, where accurate comparison between different scenarios in different species is essential to the aim of translating preclinical research findings in animal models to clinical utility in Homo sapiens. This review identifies some of the underappreciated problems with current morphometric practice, some of which are exacerbated in skeletal muscle, and evaluates the extent of their intrusiveness into the of building an objective, accurate, picture of the structure of the muscle sample. It also contains recommendations for eliminating or at least minimizing these problems. Principal among these, would be the use of stereological procedures to avoid the substantial counting biases arising from inter-procedure differences in object size and section thickness. Attention is also drawn to the distortions of interpretation arising from use of undefined or inappropriate denominators.

Publisher

IOS Press

Subject

Clinical Neurology,Neurology

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