Evidence map›Paper›PMID 38779872›Full record

ArticleThe Journal of clinical endocrinology and metabolism2025

Characterizing 24-Hour Skeletal Muscle Gene Expression Alongside Metabolic and Endocrine Responses Under Diurnal Conditions.

Harry A Smith, Iain Templeman, Max Davis, Tommy Slater, David J Clayton, Ian Varley, Lewis J James, Benita Middleton, Jonathan D Johnston, Leonidas G Karagounis and 5 more

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Harry A SmithCentre for Nutrition, Exercise and Metabolism, Department for Health, University of Bath, Bath, UK, BA2 7AY.
Iain TemplemanCentre for Nutrition, Exercise and Metabolism, Department for Health, University of Bath, Bath, UK, BA2 7AY.
Max DavisCentre for Nutrition, Exercise and Metabolism, Department for Health, University of Bath, Bath, UK, BA2 7AY.
Tommy SlaterMusculoskeletal Physiology Research Group, Sport, Health and Performance Enhancement Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK, NG1 4FQ.ORCID 0000-0003-2764-3148
David J ClaytonMusculoskeletal Physiology Research Group, Sport, Health and Performance Enhancement Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK, NG1 4FQ.
Ian VarleyMusculoskeletal Physiology Research Group, Sport, Health and Performance Enhancement Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK, NG1 4FQ.ORCID 0000-0002-3607-8921
Lewis J JamesNational Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK, LE11 3TU.
Benita MiddletonSection of Chronobiology, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK, GU2 7XH.
Jonathan D JohnstonSection of Chronobiology, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK, GU2 7XH.
Leonidas G KaragounisInstitute of Social and Preventive Medicine, University of Bern, 3012 Bern, Switzerland.
Kostas TsintzasMRC Versus Arthritis Centre for Musculoskeletal Ageing Research, School of Life Sciences, University of Nottingham, Queen's Medical Centre, Nottingham, UK, NG7 2UH.ORCID 0000-0002-3405-5769
Dylan ThompsonCentre for Nutrition, Exercise and Metabolism, Department for Health, University of Bath, Bath, UK, BA2 7AY.
Javier T GonzalezCentre for Nutrition, Exercise and Metabolism, Department for Health, University of Bath, Bath, UK, BA2 7AY.
Jean-Philippe WalhinCentre for Nutrition, Exercise and Metabolism, Department for Health, University of Bath, Bath, UK, BA2 7AY.
James A BettsCentre for Nutrition, Exercise and Metabolism, Department for Health, University of Bath, Bath, UK, BA2 7AY.ORCID 0000-0002-9129-5777

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextSkeletal muscle plays a central role in the storage, synthesis, and breakdown of nutrients, yet little research has explored temporal responses of this human tissue, especially with concurrent measures of systemic biomarkers of metabolism.

objectiveTo characterize temporal profiles in skeletal muscle expression of genes involved in carbohydrate metabolism, lipid metabolism, circadian clocks, and autophagy and descriptively relate them to systemic metabolites and hormones during a controlled laboratory protocol.

methodsTen healthy adults (9M/1F, [mean ± SD] age 30 ± 10 years; BMI 24.1 ± 2.7 kg·m-2) rested in the laboratory for 37 hours with all data collected during the final 24 hours (08:00-08:00 hours). Participants ingested hourly isocaloric liquid meal replacements alongside appetite assessments during waking before a sleep opportunity from 22:00 to 07:00 hours. Blood samples were collected hourly for endocrine and metabolite analyses, with muscle biopsies occurring every 4 hours from 12:00 to 08:00 hours the following day to quantify gene expression.

resultsPlasma insulin displayed diurnal rhythmicity peaking at 18:04 hours. Expression of skeletal muscle genes involved in carbohydrate metabolism (Name, Acrophase [hours]: GLUT4, 14:40; PPARGC1A, 16:13; HK2, 18:24) and lipid metabolism (FABP3, 12:37; PDK4, 05:30; CPT1B, 12:58) displayed 24-hour rhythmicity that reflected the temporal rhythm of insulin. Equally, circulating glucose (00:19 hours), nonesterified fatty acids (04:56), glycerol (04:32), triglyceride (23:14), urea (00:46), C-terminal telopeptide (05:07), and cortisol (22:50) concentrations also all displayed diurnal rhythmicity.

conclusionDiurnal rhythms were present in human skeletal muscle gene expression as well systemic metabolites and hormones under controlled diurnal conditions. The temporal patterns of genes relating to carbohydrate and lipid metabolism alongside circulating insulin are consistent with diurnal rhythms being driven in part by the diurnal influence of cyclic feeding and fasting.

Indexed as

Circadian RhythmMuscle, SkeletalAdultCarbohydrate MetabolismCircadian ClocksFemaleHumansInsulinLipid MetabolismMaleYoung AdultInsulincircadian rhythmsdiurnalgene expressionglucoselipidsskeletal muscle

Identifiers

PMID38779872
PMCPMC11913097

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Registered trials

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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.