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Multimodal high-resolution nano-DESI MSI and immunofluorescence imaging reveal molecular signatures of skeletal muscle fiber types.
Unsihuay, Daisy; Hu, Hang; Qiu, Jiamin; Latorre-Palomino, Alessandra; Yang, Manxi; Yue, Feng; Yin, Ruichuan; Kuang, Shihuan; Laskin, Julia.
Afiliación
  • Unsihuay D; Department of Chemistry, Purdue University West Lafayette IN 47907 USA jlaskin@purdue.edu.
  • Hu H; Department of Pathology and Laboratory Medicine, University of Pennsylvania Philadelphia PA 19104 USA.
  • Qiu J; Department of Chemistry, Purdue University West Lafayette IN 47907 USA jlaskin@purdue.edu.
  • Latorre-Palomino A; Department of Animal Sciences, Purdue University West Lafayette IN 47907 USA.
  • Yang M; Department of Chemistry, Universidad Nacional Mayor de San Marcos Lima Peru.
  • Yue F; Department of Chemistry, Purdue University West Lafayette IN 47907 USA jlaskin@purdue.edu.
  • Yin R; Department of Animal Sciences, Purdue University West Lafayette IN 47907 USA.
  • Kuang S; Department of Chemistry, Purdue University West Lafayette IN 47907 USA jlaskin@purdue.edu.
  • Laskin J; Department of Animal Sciences, Purdue University West Lafayette IN 47907 USA.
Chem Sci ; 14(15): 4070-4082, 2023 Apr 12.
Article en En | MEDLINE | ID: mdl-37063787
ABSTRACT
The skeletal muscle is a highly heterogeneous tissue comprised of different fiber types with varying contractile and metabolic properties. The complexity in the analysis of skeletal muscle fibers associated with their small size (30-50 µm) and mosaic-like distribution across the tissue tnecessitates the use of high-resolution imaging to differentiate between fiber types. Herein, we use a multimodal approach to characterize the chemical composition of skeletal fibers in a limb muscle, the gastrocnemius. Specifically, we combine high-resolution nanospray desorption electrospray ionization (nano-DESI) mass spectrometry imaging (MSI) with immunofluorescence (IF)-based fiber type identification. Computational image registration and segmentation approaches are used to integrate the information obtained with both techniques. Our results indicate that the transition between oxidative and glycolytic fibers is associated with shallow chemical gradients (<2.5 fold change in signals). Interestingly, we did not find any fiber type-specific molecule. We hypothesize that these findings might be linked to muscle plasticity thereby facilitating a switch in the metabolic properties of fibers in response to different conditions such as exercise and diet, among others. Despite the shallow chemical gradients, cardiolipins (CLs), acylcarnitines (CAR), monoglycerides (MGs), fatty acids, highly polyunsaturated phospholipids, and oxidized phospholipids, were identified as molecular signatures of oxidative metabolism. In contrast, histidine-related compounds were found as molecular signatures of glycolytic fibers. Additionally, the presence of highly polyunsaturated acyl chains in phospholipids was found in oxidative fibers whereas more saturated acyl chains in phospholipids were found in glycolytic fibers which suggests an effect of the membrane fluidity on the metabolic properties of skeletal myofibers.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Chem Sci Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Chem Sci Año: 2023 Tipo del documento: Article
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