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CDK4-E2F3 signals enhance oxidative skeletal muscle fiber numbers and function to affect myogenesis and metabolism
Young Jae Bahn, … , Alexandra C. McPherron, Sushil G. Rane
Young Jae Bahn, … , Alexandra C. McPherron, Sushil G. Rane
Published July 3, 2023
Citation Information: J Clin Invest. 2023;133(13):e162479. https://doi.org/10.1172/JCI162479.
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Research Article Metabolism Muscle biology Article has an altmetric score of 5

CDK4-E2F3 signals enhance oxidative skeletal muscle fiber numbers and function to affect myogenesis and metabolism

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Abstract

Understanding how skeletal muscle fiber proportions are regulated is vital to understanding muscle function. Oxidative and glycolytic skeletal muscle fibers differ in their contractile ability, mitochondrial activity, and metabolic properties. Fiber-type proportions vary in normal physiology and disease states, although the underlying mechanisms are unclear. In human skeletal muscle, we observed that markers of oxidative fibers and mitochondria correlated positively with expression levels of PPARGC1A and CDK4 and negatively with expression levels of CDKN2A, a locus significantly associated with type 2 diabetes. Mice expressing a constitutively active Cdk4 that cannot bind its inhibitor p16INK4a, a product of the CDKN2A locus, were protected from obesity and diabetes. Their muscles exhibited increased oxidative fibers, improved mitochondrial properties, and enhanced glucose uptake. In contrast, loss of Cdk4 or skeletal muscle–specific deletion of Cdk4’s target, E2F3, depleted oxidative myofibers, deteriorated mitochondrial function, and reduced exercise capacity, while increasing diabetes susceptibility. E2F3 activated the mitochondrial sensor PPARGC1A in a Cdk4-dependent manner. CDK4, E2F3, and PPARGC1A levels correlated positively with exercise and fitness and negatively with adiposity, insulin resistance, and lipid accumulation in human and rodent muscle. All together, these findings provide mechanistic insight into regulation of skeletal muscle fiber–specification that is of relevance to metabolic and muscular diseases.

Authors

Young Jae Bahn, Hariom Yadav, Paolo Piaggi, Brent S. Abel, Oksana Gavrilova, Danielle A. Springer, Ioannis Papazoglou, Patricia M. Zerfas, Monica C. Skarulis, Alexandra C. McPherron, Sushil G. Rane

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Figure 4

Cdk4-E2F3–dependent activation of PGC-1α.

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Cdk4-E2F3–dependent activation of PGC-1α.
(A and B) Protein expression o...
(A and B) Protein expression of cell cycle and muscle proteins in QA muscles of (A) WT and (B) Cdk4WT and Cdk4R/R mice with (+) or without (–) exercise (n = 3 mice each group). (C) Gene expression of indicated genes in QA muscles from Cdk4WT and Cdk4R/R mice after exercise (n = 5–6 mice each group). (D) Pgc-1α and (E) E2F3 mRNA levels in QA muscles of Cdk4WT, Cdk4R/R, and Cdk4KO mice and upon Cdk4i inhibition in differentiating C2C12 myotubes (n = 6 each group). (F) mRNA transcripts of Pgc-1α and Tfam in E2F1–/–, E2F2–/–, and E2F3–/– MEFs (n = 6 each group). (G) PGC-1α reporter (PGC-1α-Luc) activity upon overexpression of E2F1, E2F2, E2F3, and vector control (n = 6 each group). (H) ChIP-assay showing E2F3 binding to the PGC-1α promoter compared with control IgG antibody. Red arrow points to the amplified PGC-1α promoter region. (I) Real-time qPCR data shows binding of E2F3 to the PGC-1α promoter during the 4-day muscle differentiation program of C2C12 cells with and without (control) the presence of a Cdk4i inhibitor (n = 3 each group). (J and K) Pgc-1α protein expression in differentiated C2C12 myotubes upon shRNA knockdown of (J) Cdk4 or (K) E2F3 as compared with nontarget shRNA control (NT). (L) Levels of E2F3 and Pgc-1α in differentiating C2C12 cells without (0 μg) or with (0.5 or 2 μg) pCMV-E2F3–HA–induced expression of exogenous E2F3. (M) Western blot analysis of Pgc-1α protein upon shRNA knockdown of E2F3 (shE2F3), compared with nontarget shRNA control (NT) treatment, with or without adenovirally overexpressed human Cdk4 (Ad-hCDK4) in differentiated C2C12 myotubes. E2F3, Cdk4, and β-actin protein levels are shown as controls. Data are shown as the mean ± SEM. *P < 0.05, **P < 0.01, ***P < 0.001 by 2-tailed Student’s t test.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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