Skeletal Muscle Metabolism
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Endocrinology and Clinical Metabolic Research".
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 492
Special Issue Editors
Interests: metabolism; aging; oxidative stress; biomarkers
Interests: neuronal energy metabolism; multiple sclerosis; peripheral neuropathies; cancer biology; biochemistry; cell biology; mitochondria biogenesis and dynamics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Metabolic alterations have been associated with many pathophysiological conditions affecting skeletal muscle (including aging, cachexia, and atrophy). Moreover, the capability of skeletal muscle to reprogram its metabolic activity is crucial in the adaptation of this tissue to many systemic pathological disorders (including diabetes, cancer, and neurological diseases). However, in many cases, skeletal muscle metabolic alterations and the consequent reprogramming occurs through poorly defined molecular etiology.
In this scenario, characterizing the molecular players associated with the skeletal muscle adaptive response to different environmental changes and disclosing the mechanisms linking these factors might allow the identification of new potential diagnostic or therapeutic targets for systemic diseases.
In this Special Issue, we invite investigators to contribute the findings of their studies focused on comprehension of the molecular background of skeletal muscle metabolic impairment and reprogramming in various pathophysiological conditions. Articles about the use of skeletal muscle metabolic alterations as a biomarker for diagnosis, prognosis, or as a potential target for therapeutical intervention are also invited. Original work, as well as reviews, are welcome.
Thank you for your consideration.
Prof. Gianmario Sambuceti
Prof. Silvia Ravera
Guest Editors
Manuscript Submission Information
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Keywords
- Skeletal muscle
- metabolism
- aging
- atrophy
- oxidative stress
- biomarkers
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