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Muscle insulin sensitivity and glucose metabolism are controlled by the intrinsic muscle clock
Open accessAbstract
Circadian rhythms control metabolism and energy homeostasis, but the role of the skeletal muscle clock has never been explored. We generated conditional and inducible mouse lines with muscle-specific ablation of the core clock gene Bmal1. Skeletal muscles from these mice showed impaired insulin-stimulated glucose uptake with reduced protein levels of GLUT4, the insulin-dependent glucose transporter, and TBC1D1, a Rab-GTPase involved in GLUT4 translocation. Pyruvate dehydrogenase (PDH) activity was also reduced due to altered expression of circadian genes Pdk4 and Pdp1, coding for PDH kinase and phosphatase, respectively. PDH inhibition leads to reduced glucose oxidation and diversion of glycolytic intermediates to alternative metabolic pathways, as revealed by metabolome analysis. The impaired glucose metabolism induced by muscle-specific Bmal1 knockout suggests that a major physiological role of the muscle clock is to prepare for the transition from the rest/fasting phase to the active/feeding phase, when glucose becomes the predominant fuel for skeletal muscle.
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![Figure 3 Insulin-dependent glucose uptake is impaired by muscle-specific Bmal1 deletion. (A) Insulin-stimulated [3H]-2-Deoxyglucose (2-DG) uptake by isolated SOL muscles from mKO (left panel) and imKO mice (right panel) versus respective controls (mean±SEM; n=15/group; **p<0.01, ***p<0.001, Student's t-test). (B) Fasting blood glucose levels at ZT0 (n=6/group) and ZT12 (n=10/group) from Ctrl and mKO mice (mean±SEM). (C) Glucose tolerance test performed at ZT12 in mKO mice versus control (mean±SEM; n=10/group). (D) Insulin tolerance test performed at ZT12 in mKO mice versus control (mean±SEM; n=8/group). (E) Basal (−) and insulin-induced (+) AKT Ser473 and Thr308 phosphorylation determined in isolated SOL muscles from mKO and Ctrl mice. (F) In situ diurnal AKT Ser473 phosphorylation (n=5/group/timepoint) and Thr308 phosphorylation (n=3/group/timepoint) in mKO and Ctrl gastrocnemius muscle quantified by densitometry after western blotting analysis (mean±SEM; arbitrary units; AKT Ser473 time effect F=2.88, p=0.02, 2-way ANOVA). (G) Western blots showing protein levels of GLUT4 across the day/night cycle in mKO and Ctrl gastrocnemius muscles from 36 different mice (n=3/group/timepoint). (H) Diurnal protein levels of GLUT4 quantified by densitometry after western blot analysis (mean±SEM; arbitrary units; n=5/group/timepoint; *p<0.05, ***p<0.001, 2-way ANOVA with Bonferroni correction, group effect F=32.2, p<0.0001; time effect F=4.45, p=0.002; group×time interaction F=2.64, p=0.03). Right panel shows mean 24-h GLUT4 protein levels (mean±SEM; arbitrary units; n=30/group; ***p<0.0001, Student's t-test). (I) Western blots showing protein levels of HK2 across the day/night cycle in mKO and Ctrl gastrocnemius muscles from 36 different mice (n=3/group/timepoint). (J) Diurnal protein levels of HK2 quantified by densitometry after western blot analysis (mean±SEM; arbitrary units; n=3/group/timepoint; *p<0.05, **p<0.01, 2-way ANOVA with the Bonferroni correction, group effect F=57.8, p<0.0001). Right panel shows mean 24-h HK2 protein levels (mean±SEM; arbitrary units; n=18/group; ***p<0.0001, Student's t-test). (K) and (L) Diurnal expression profiles of Tbc1d4 (K) and Tbc1d1 (L) transcripts in SOL and TA muscles from Ctrl and mKO mice detected by qPCR and plotted relative to 36B4 expression (mean±SEM; n=3/timepoint; **p<0.01, ***p<0.001, 2-way ANOVA with the Bonferroni correction). (M) Western blots showing TBC1D1 protein levels at three time points in mKO and Ctrl TA muscles. (N) Mean 24-h TBC1D1 protein levels in mKO and Ctrl TA muscles (mean±SEM; arbitrary units; n=4/group; **p<0.01, Student's t-test).](/paper-figures/bad74c14fc164d7db318b8a544b5dd0f/muscle-insulin-sensitivity-and-glucose-metabolism-are-controlled-by-the-figure-3.jpg)

![Figure 5 Altered glucose metabolism in skeletal muscles from Bmal1 mKO mice. (A) Glucose oxidation to CO2 measured in isolated diaphragms incubated with 5 mM [1-14C]-glucose at ZT12, at the light/dark transition (mean±SEM; n=5–10/group; *p<0.05, **p<0.01, Student's t-test). (B)–(D) Active pyruvate dehydrogenase (PDHa) activity and PDH phosphorylation in gastrocnemius muscles from Ctrl and mKO mice. (B) Diurnal pattern of PDHa activity. Data are expressed as mmoles/min/kg wet weight (mean±SEM; n=3/group/timepoint; 2-way ANOVA group effect F=6.66, p=0.016). Right panel shows mean 24-h PDHa activity in muscles from Ctrl and mKO mice (mean percent relative to control±SEM; n=18/group; *p<0.05, Student's t-test). (C) Mean 24-h PDHa activity in muscles from Ctrl (n=13) and imKO mice (n=16) (mean percent relative to control±SEM; *p<0.05, Student's t-test). (D) Diurnal PDH-E1α Ser300 phosphorylation quantified by densitometry after western blot analysis in muscles across the diurnal cycle (normalized to total PDH-E1α protein; mean±SEM; arbitrary units; n=3/group/timepoint; 2-way ANOVA group effect F=6.58, p=0.0173). Right panel shows mean 24-h PDH-E1α Ser300 phosphorylation in mKO and control muscles (mean±SEM; arbitrary units; n=18/group; **p<0.01, Student's t-test). (E) Diurnal gene expression profiles of PDH kinase 4 (Pdk4) in Ctrl and mKO TA and SOL muscles detected by qPCR and plotted relative to 36B4 expression (mean±SEM; n=3/group/timepoint; *p<0.05, 2-way ANOVA with the Bonferroni correction). (F) PDK4 protein levels in Ctrl and mKO muscles (gastrocnemius) immediately before and during the dark/active phase (average of values measured at ZT8, 12, 16 and 20) (mean±SEM; n=12; *p<0.05, Student's t-test). (G) Diurnal gene expression profiles of PDH phosphatase 1 (Pdp1) in Ctrl and mKO TA and SOL muscles detected by qPCR and plotted relative to 36B4 expression (mean±SEM; n=3/group/timepoint; *p<0.05, **p<0.01, ***p<0.001, 2-way ANOVA with the Bonferroni correction). (H) Western blots showing PDP1 protein levels, as measured immediately before and during the dark/active phase, in mKO and Ctrl gastrocnemius muscles. (I) PDP1 protein levels in mKO and Ctrl muscles (gastrocnemius) immediately before and during the dark/active phase (ZT8-20; mean±SEM; arbitrary units; n=4/group; **p<0.01, Student's t-test).](/paper-figures/850f2f78e0264bcdaa0787981d240e3c/muscle-insulin-sensitivity-and-glucose-metabolism-are-controlled-by-the-figure-5.jpg)

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“Disruption of the muscle clock has also been shown to have significant impact on glucose intolerance and insulin resistance with very small changes in fiber types (Dyar et al., 2014; Schroder et al., 2015; Harfmann et al., 2016).”
From Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging (2020) · cites this paper as Dyar et al., 2014
In the citing paper
“In addition, prolonged loss of Bmal1 function was also associated with increased fibrosis within the muscle.”
From Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging (2020) · cites this paper as Dyar et al., 2014
In the citing paper
“These animals showed reduced protein levels of GLUT4 and an impaired insulin-stimulated glucose uptake in their muscles.”
From Circadian control of glucose metabolism (2014) · cites this paper as [153]
In the citing paper
“For example, the hepatic clock regulates fasting glycemic control and glucose clearance (8), the pancreatic clock regulates insulin secretion and its response to glucose (9-11), the adipose clock regulates lipid storage and mobilization (12,13), and the skeletal muscle clock regulates glucose uptake and metabolism (14).”
From Circadian rhythms, metabolism, and chrononutrition in rodents and humans (2016) · cites this paper as [14]
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BackgroundMethodInfluentialExploration, normalization, and summaries of high density oligonucleotide array probe level data
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“Global inactivation of different clock genes leads to altered glucose metabolism: Clock mutant mice display hyperglycemia, obesity and metabolic syndrome [9]; Per1/Per2 double knockout mice and Cry1/Cr2 double knockout mice exhibit glucose”
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“In addition to the core clock genes, all tissues contain a large number of oscillating genes, most of which are tissue-specific and regulated either directly by the core oscillator or by extrinsic circadian signals [7].”
BackgroundEvolving gene/transcript definitions significantly alter the interpretation of GeneChip data
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“Speci fi cally, intensity levels have been background adjusted, normalized using quantile normalization, and log 2 expression values calculated using median polish summarization and Entrez custom chip de fi nition fi les for mouse arrays (version 14.1.0) [24].”
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“Skeletal muscle is a major site of insulin-stimulated glucose disposal [56] and muscle insulin resistance has been considered to be one of the earliest factors in the pathogenesis of the metabolic syndrome [57].”
BackgroundOccupational and Environmental Medicine
Rosenstock, L., Rest, K. M., BENSON, J. A., Cannella, J. M., Cohen, J. J., Cullen, M. R., Davidoff, F. F., Landrigan, P. J., Reynolds, R. C., Clever, L. H., et al. (1991) · New England Journal of Medicine · doi:10.1056/nejm199109263251305 · Cited by 1,627
Mop3 is an essential component of the master circadian pacemaker in mammals.
Bunger, M. K., Wilsbacher, L. D., Moran, S. M., Clendenin, C., Radcliffe, L. A., Hogenesch, J. B., Simon, M. C., Takahashi, J. S., & Bradfield, C. A. (2000) · Cell · doi:10.1016/s0092-8674(00)00205-1 · Cited by 1,621 · cited 3×
“Global Bmal1 knockout causes not only loss of circadian rhythm of locomotor activity but also reduced total activity levels [42] and rescue experiments in which BMAL1 was constitutively expressed in skeletal muscle of Bmal1 null mice showed that musclespecific rescue restored activity levels, though not circadian rhyt…”
BackgroundDisruption of the clock components CLOCK and BMAL1 leads to hypoinsulinaemia and diabetes
Marcheva, B., Ramsey, K. M., Buhr, E. D., Kobayashi, Y., Su, H., Ko, C. H., Ivanova, G., Omura, C., Mo, S., Vitaterna, M. H., et al. (2010) · Nature · doi:10.1038/nature09253 · Cited by 1,525 · cited 1×
“Selective knockout of Bmal1 in the liver causes hypoglycemia [10], while ablation of the same gene in the endocrine pancreas leads to fasting hyperglycemia and severe glucose intolerance [15].”
BackgroundLipid-induced insulin resistance: unravelling the mechanism
Samuel, V. T., Petersen, K. F., & Shulman, G. I. (2010) · The Lancet · doi:10.1016/s0140-6736(10)60408-4 · Cited by 1,189 · cited 1×
“What is the cause of the altered response to insulin in muscles from Bmal1 mKO mice? The canonical insulin signaling pathway is apparently not responsible for this change, since AKT phosphorylation, which is reduced in obesity and diabetes [60], was unchanged, and was similarly increased by insulin in muscles from con…”
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Metadata
- Authors
- Dyar, K. A., Ciciliot, S., Wright, L. E., Biensø, R. S., Tagliazucchi, G. M., Patel, V. R., Forcato, M., Paz, M. I. P., Gudiksen, A., Solagna, F., Albiero, M., Moretti, I., Eckel-Mahan, K. L., Baldi, P., Sassone-Corsi, P., Rizzuto, R., Bicciato, S., Pilegaard, H., Blaauw, B., & Schiaffino, S.
- Affiliations
- Veneto Institute of Molecular Medicine (IT)
- University of Padua (IT)
- University of Copenhagen (DK)
- University of Modena and Reggio Emilia (IT)
- University of California, Irvine (US)
- Corresponding author
- Dyar, Kenneth A.
- Schiaffino, Stefano
- ORCID
- Venue
- Molecular Metabolism
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 3
- Issue
- 1
- Pages
- 29-41
- ISSN
- 2212-8778 (ISSN-L)
- PMC
- PMC3929910
- OpenAlex
- W1964634897
- Cited by
- 454
- References
- 73
- Citations by year
- 2026: 34 · 2025: 37 · 2024: 40 · 2023: 46 · 2022: 42 · 2021: 33 · 2020: 53 · 2019: 34 · 2018: 36 · 2017: 28 · 2016: 42 · 2015: 19 · 2014: 9
- FWCI
- 12.78
- Type
- journal article
- Language
- en
- Update notices
- erratum (2014-12-01)
- Open access
- gold
- doi.org
- Licence
- Locations
- Molecular Metabolism (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-sa)
- IRIS UNIMORE (University of Modena and Reggio Emilia) (submittedVersion, cc-by-nc-sa)
- Padua Research Archive (University of Padova) (submittedVersion)
- Funders
- European Commission (223576, 294777)
- Italian Space Agency (ASI, project OSMA)
- Italian Ministries of Health (Ricerca Finalizzata) and of Education, University and Research (PRIN, FIRB), NIA (2P01AG025532-06A1)
- Cariparo Foundation (Padua)
- Italian Association for Cancer Research (AIRC) and Telethon–Italy (GPP1005A, GGP11082)
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Health Sciences › Medicine › Physiology (medical) › Adipose Tissue and Metabolism
- Keywords
- circadian rhythm, Bmal1, insulin sensitivity, glucose uptake, GLUT4, TBC1D1, pyruvate dehydrogenase, PDK4, PDP1, glucose oxidation, glycolysis, metabolome, conditional knockout mice
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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