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Updated: Jan 11, 2026

Author Spotlight: Decellularization-Based Quantification of Skeletal Muscle Fatty Infiltration
Published on: June 9, 2023
Insights into intramuscular adipose-muscle signaling in the diabetic lower extremity
Chang Gui1, Dakota R Kamm2, Jeremie L A Ferey2
1Department of Biomedical Engineering, Washington University, St. Louis, MO, USA.
Abstract:
Intramuscular adipose tissue (IMAT) has been proposed to directly contribute to myofiber dysfunction through paracrine signaling. The impacts of this signaling beyond contributing to myofiber insulin resistance are largely unknown. This study aims to explore the human IMAT transcriptome, with a focus on its potential role in myoblast fusion deficits in advanced muscle pathology. Using a within-subjects design, we compared IMAT to subcutaneous (SQ) fat in individuals with and without diabetes undergoing below-knee amputation. We hypothesized that IMAT from the diabetic group would exhibit a pro-inflammatory profile, similar to diabetic SQ, and that inflammatory secreted factors from IMAT progenitors would impair cultured myoblast fusion. Instead, we found that the IMAT transcriptome from the diabetic group exhibited reduced enrichment of inflammatory pathways compared with SQ and less transcriptional evidence for immune cell infiltration. While IMAT featured a mostly anti-myogenic transcriptional profile for secreted cytokines, media conditioned by IMAT progenitors did not uniquely impair fusion of cultured myoblasts compared with SQ. Surprisingly, the diabetic status of the myoblast donor predicted myoblast fusion, with reduced fusion rates in diabetic myoblasts exposed to conditioned media from all adipose sources. This suggests that IMAT-myoblast signaling may be detrimental to regeneration in diabetes, but that the effect is driven in part by an intrinsic difference in diabetic myoblasts' sensitivity to IMAT secreted factors. This emphasizes the insight that can be gained from disease-state matched and mismatched culture models and highlights the need to better understand how diabetes impacts myoblasts and their interaction with the disease environment.
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