Abstract
With around 20–40% of our bodyweight, skeletal muscles are the biggest organ complex of the human body. Being a metabolic active tissue, muscle mass, function and fibertype composition is highly regulated in a tight spatial-temporal manner. In geriatric patients, it is essentially important to understand the underlying mechanisms of the age related losses of fiber size and total number of fibers, as well as fibertype shifting.
To date, there have been few studies dealing with gene expression profiling of skeletal muscles, mostly focusing on age related differences in whole-muscle specimen. Being carried out on mouse or rat limb muscles, most other studies do not represent the conditions of human muscle, due to the differences in fibertype composition. Our study provides a fibertype-specific approach for whole-genome expression analysis in human skeletal muscle.
22 fresh frozen biceps brachii and quadriceps femoris muscle samples were acquired from the muscle bank of the Friedrich-Baur-Institut, Department of Neurology, Ludwig-Maximilians-University, Munich, Germany. Consecutive cross-sections were used for immunohistochemical myosine-heavy-chain-staining and individual fibers were acquired by laser-capture-microdissection. Around 100 cells of each fibertype of each biopsy were dissected, reversely transcribed, pre-amplified and labeled for microarray analysis. Fiber type-specific gene expression was analyzed with ANOVA. Correction for multiple testing was performed using the Benjamini-Hochberg procedure with a conservative threshold and the pathway analysis was carried out using the Ingenuity Pathway Analysis program (QIAGEN).
By comparing type I vs. type IIa, type I vs. type IIx and type IIa vs. type IIx, we could identify 2855, 2865 and 510 differentially expressed genes. As expected, many differentially regulated genes belong to functional groups like cytoskeleton, muscle contraction and energy metabolism, proving the feasibility of our study. However, many genes that are involved in the response to oxidative stress were also differently regulated, showing distinct mechanisms of the different fiber types, of coping with oxidative stress. In consensus with available literature, the relative proportion of type I fibers seemed to increase with age. Despite higher levels of oxidative stress, type I fibers seem to have more efficient antioxidative mechanisms in comparison to type IIa and IIx fibers, which might explain the higher vulnerability of members of the type II family to oxidative stress. Furthermore, genes that are involved in fibertype specification were also regulated differently. However, we could not verify an age-specific activation of pathways involved in fibertype shifting. Whether fibertype shifting is solely due to disproportionate loss of type II fibers, or also in vivo - transdifferentiation of fibers, has to be investigated further.
