ReviewJournal of applied physiology (Bethesda, Md. : 1985)2021
Preclinical rodent models of physical inactivity-induced muscle insulin resistance: challenges and solutions.
Review in Journal of applied physiology (Bethesda, Md. : 1985), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Article
- Promotion of pathological cardiac remodeling by excessive mitochondrial fission in physical inactivity and myocardial infarction.Scientific reports · 2025Article
- Sedentary lifestyle induces oxidative stress and atrophy in rat skeletal muscle.Experimental physiology · 2025Article
- Sex-specific cardiovascular adaptations to simulated microgravity in Sprague-Dawley rats.NPJ microgravity · 2024Article
- Inactivity-mediated molecular adaptations: Insights from a preclinical model of physical activity reduction.Physiological reports · 2024Article
- Prazosin improves insulin-induced anabolic signaling by protecting capillary regression in the soleus muscle of hindlimb-unloaded rats.Journal of diabetes and metabolic disorders · 2024Article
- Early initiation of electrical stimulation paired with range of motion after a volumetric muscle loss injury does not benefit muscle function.Experimental physiology · 2023Article
- Insights into the development of insulin resistance: Unraveling the interaction of physical inactivity, lipid metabolism and mitochondrial biology.Frontiers in physiology · 2023Review
- Physical Inactivity - the Human Health's Greatest Enemy.Zdravstveno varstvo · 2022Article
- Article
- Mitochondrial Bioenergetics and Turnover during Chronic Muscle Disuse.International journal of molecular sciences · 2021Review
- Independent of physical activity, volumetric muscle loss injury in a murine model impairs whole-body metabolism.PloS one · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Physical inactivity influences the development of muscle insulin resistance yet is far less understood than diet-induced muscle insulin resistance. Progress in understanding the mechanisms of physical inactivity-induced insulin resistance is limited by a lack of an appropriate preclinical model of muscle insulin resistance. Here, we discuss differences between diet and physical inactivity-induced insulin resistance, the advantages and disadvantages of the available rodent inactivity models to study insulin resistance, and our current understanding of the mechanisms of muscle insulin resistance derived from such preclinical inactivity designs. The burgeoning rise of health complications emanating from metabolic disease presents an alarming issue with mounting costs for health care and a reduced quality of life. There exists a pressing need for more complete understanding of mechanisms behind the development and progression of metabolic dysfunction. Since lifestyle modifications such as poor diet and lack of physical activity are primary catalysts of metabolic dysfunction, rodent models have been formed to explore mechanisms behind these issues. Particularly, the use of a high-fat diet has been pervasive and has been an instrumental model to gain insight into mechanisms underlying diet-induced insulin resistance (IR). However, physical inactivity (and to some extent muscle disuse) is an often overlooked and much less frequently studied lifestyle modification, which some have contended is the primary contributor in the initial development of muscle IR. In this mini-review we highlight some of the key differences between diet- and physical inactivity-induced development of muscle IR and propose reasons for the sparse volume of academic research into physical inactivity-induced IR including infrequent use of clearly translatable rodent physical inactivity models.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.