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A novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training

We examined the myofibrillar (MyoF) and non-myofibrillar (non-MyoF) proteomic profiles of the vastus lateralis (VL) muscle of younger (Y, 22±2 years old; n=5) and middle-aged participants (MA, 56±8 years old; n=6), and MA following eight weeks of knee extensor resistance training (RT, 2d/week). Shot...

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Autores principales: Roberts, Michael D., Ruple, Bradley A., Godwin, Joshua S., McIntosh, Mason C., Chen, Shao-Yung, Kontos, Nicholas J., Agyin-Birikorang, Anthony, Max Michel, J., Plotkin, Daniel L., Mattingly, Madison L., Brooks Mobley, C., Ziegenfuss, Tim N., Fruge, Andrew D., Kavazis, Andreas N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274632/
https://www.ncbi.nlm.nih.gov/pubmed/37333259
http://dx.doi.org/10.1101/2023.06.02.543459
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author Roberts, Michael D.
Ruple, Bradley A.
Godwin, Joshua S.
McIntosh, Mason C.
Chen, Shao-Yung
Kontos, Nicholas J.
Agyin-Birikorang, Anthony
Max Michel, J.
Plotkin, Daniel L.
Mattingly, Madison L.
Brooks Mobley, C.
Ziegenfuss, Tim N.
Fruge, Andrew D.
Kavazis, Andreas N.
author_facet Roberts, Michael D.
Ruple, Bradley A.
Godwin, Joshua S.
McIntosh, Mason C.
Chen, Shao-Yung
Kontos, Nicholas J.
Agyin-Birikorang, Anthony
Max Michel, J.
Plotkin, Daniel L.
Mattingly, Madison L.
Brooks Mobley, C.
Ziegenfuss, Tim N.
Fruge, Andrew D.
Kavazis, Andreas N.
author_sort Roberts, Michael D.
collection PubMed
description We examined the myofibrillar (MyoF) and non-myofibrillar (non-MyoF) proteomic profiles of the vastus lateralis (VL) muscle of younger (Y, 22±2 years old; n=5) and middle-aged participants (MA, 56±8 years old; n=6), and MA following eight weeks of knee extensor resistance training (RT, 2d/week). Shotgun/bottom-up proteomics in skeletal muscle typically yields wide protein abundance ranges that mask lowly expressed proteins. Thus, we adopted a novel approach whereby the MyoF and non-MyoF fractions were separately subjected to protein corona nanoparticle complex formation prior to digestion and Liquid Chromatography Mass Spectrometry (LC-MS) analysis. A total of 10,866 proteins (4,421 MyoF and 6,445 non-MyoF) were identified. Across all participants, the number of non-MyoF proteins detected averaged to be 5,645±266 (range: 4,888–5,987) and the number of MyoF proteins detected averaged to be 2,611±326 (range: 1,944–3,101). Differences in the non-MyoF (8.4%) and MyoF (2.5%) proteome were evident between age cohorts. Further, most of these age-related non-MyoF proteins (447/543) were more enriched in MA versus Y. Several biological processes in the non-MyoF fraction were predicted to be operative in MA versus Y including (but not limited to) increased cellular stress, mRNA splicing, translation elongation, and ubiquitin-mediated proteolysis. Non-MyoF proteins associated with splicing and proteostasis were further interrogated, and in agreement with bioinformatics, alternative protein variants, spliceosome-associated proteins (snRNPs), and proteolysis-related targets were more abundant in MA versus Y. RT in MA non-significantly increased VL muscle cross-sectional area (+6.5%, p=0.066) and significantly increased knee extensor strength (+8.7%, p=0.048). However, RT modestly altered the MyoF (~0.3%, 11 upregulated and two downregulated proteins) and non-MyoF proteomes (~1.0%, 56 upregulated and eight downregulated proteins, p<0.01). Further, RT did not affect predicted biological processes in either fraction. Although participant numbers were limited, these preliminary results using a novel deep proteomic approach in skeletal muscle suggest that aging and RT predominantly affects protein abundances in the non-contractile protein pool. However, the marginal proteome adaptations occurring with RT suggest either: a) this may be an aging-associated phenomenon, b) more rigorous RT may stimulate more robust effects, or c) RT, regardless of age, subtly affects skeletal muscle protein abundances in the basal state.
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spelling pubmed-102746322023-06-17 A novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training Roberts, Michael D. Ruple, Bradley A. Godwin, Joshua S. McIntosh, Mason C. Chen, Shao-Yung Kontos, Nicholas J. Agyin-Birikorang, Anthony Max Michel, J. Plotkin, Daniel L. Mattingly, Madison L. Brooks Mobley, C. Ziegenfuss, Tim N. Fruge, Andrew D. Kavazis, Andreas N. bioRxiv Article We examined the myofibrillar (MyoF) and non-myofibrillar (non-MyoF) proteomic profiles of the vastus lateralis (VL) muscle of younger (Y, 22±2 years old; n=5) and middle-aged participants (MA, 56±8 years old; n=6), and MA following eight weeks of knee extensor resistance training (RT, 2d/week). Shotgun/bottom-up proteomics in skeletal muscle typically yields wide protein abundance ranges that mask lowly expressed proteins. Thus, we adopted a novel approach whereby the MyoF and non-MyoF fractions were separately subjected to protein corona nanoparticle complex formation prior to digestion and Liquid Chromatography Mass Spectrometry (LC-MS) analysis. A total of 10,866 proteins (4,421 MyoF and 6,445 non-MyoF) were identified. Across all participants, the number of non-MyoF proteins detected averaged to be 5,645±266 (range: 4,888–5,987) and the number of MyoF proteins detected averaged to be 2,611±326 (range: 1,944–3,101). Differences in the non-MyoF (8.4%) and MyoF (2.5%) proteome were evident between age cohorts. Further, most of these age-related non-MyoF proteins (447/543) were more enriched in MA versus Y. Several biological processes in the non-MyoF fraction were predicted to be operative in MA versus Y including (but not limited to) increased cellular stress, mRNA splicing, translation elongation, and ubiquitin-mediated proteolysis. Non-MyoF proteins associated with splicing and proteostasis were further interrogated, and in agreement with bioinformatics, alternative protein variants, spliceosome-associated proteins (snRNPs), and proteolysis-related targets were more abundant in MA versus Y. RT in MA non-significantly increased VL muscle cross-sectional area (+6.5%, p=0.066) and significantly increased knee extensor strength (+8.7%, p=0.048). However, RT modestly altered the MyoF (~0.3%, 11 upregulated and two downregulated proteins) and non-MyoF proteomes (~1.0%, 56 upregulated and eight downregulated proteins, p<0.01). Further, RT did not affect predicted biological processes in either fraction. Although participant numbers were limited, these preliminary results using a novel deep proteomic approach in skeletal muscle suggest that aging and RT predominantly affects protein abundances in the non-contractile protein pool. However, the marginal proteome adaptations occurring with RT suggest either: a) this may be an aging-associated phenomenon, b) more rigorous RT may stimulate more robust effects, or c) RT, regardless of age, subtly affects skeletal muscle protein abundances in the basal state. Cold Spring Harbor Laboratory 2023-07-05 /pmc/articles/PMC10274632/ /pubmed/37333259 http://dx.doi.org/10.1101/2023.06.02.543459 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Roberts, Michael D.
Ruple, Bradley A.
Godwin, Joshua S.
McIntosh, Mason C.
Chen, Shao-Yung
Kontos, Nicholas J.
Agyin-Birikorang, Anthony
Max Michel, J.
Plotkin, Daniel L.
Mattingly, Madison L.
Brooks Mobley, C.
Ziegenfuss, Tim N.
Fruge, Andrew D.
Kavazis, Andreas N.
A novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training
title A novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training
title_full A novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training
title_fullStr A novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training
title_full_unstemmed A novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training
title_short A novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training
title_sort novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274632/
https://www.ncbi.nlm.nih.gov/pubmed/37333259
http://dx.doi.org/10.1101/2023.06.02.543459
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