Evidence map›Paper›PMID 36822394›Full record

Trial reportThe Journal of nutrition2023

Vegan and Omnivorous High Protein Diets Support Comparable Daily Myofibrillar Protein Synthesis Rates and Skeletal Muscle Hypertrophy in Young Adults.

Alistair J Monteyne, Mariana O C Coelho, Andrew J Murton, Doaa R Abdelrahman, Jamie R Blackwell, Christopher P Koscien, Karen M Knapp, Jonathan Fulford, Tim J A Finnigan, Marlou L Dirks and 2 more

2 registry-linked trialsAbstract readClinical Trial
In one paragraph

Trial report in The Journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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.

NCT03572127 nacompletednot on this map

Does Obtaining the Majority of Dietary Protein From Non-animal Sources Support the Skeletal Muscle Adaptive Response to Structured Resistance Training in Young Men and Women

TypeinterventionalSponsorUniversity of ExeterRan2018 to 2022Enrolled42ConditionsHypertrophyArmsDiet
NCT06733857 nacompletednot on this map

The Environmental Costs of Building Human Muscle - A Comparison of Greenhouse Gas Emissions, Water Use and Land Use Between Plant-Based and Omnivorous Diets Following Sports Nutrition Protein Recommendations for Muscle Mass Accrual

TypeinterventionalSponsorGame Changers InstituteRan2018 to 2020Enrolled22ConditionsGreenhouse Gas Emissions, Water Use, Land UseArmsVEG2, OMNI2
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Alistair J MonteyneDepartment of Public Health and Sports Sciences, Nutritional Physiology Research Group, University of Exeter, Exeter, United Kingdom.
Mariana O C CoelhoDepartment of Public Health and Sports Sciences, Nutritional Physiology Research Group, University of Exeter, Exeter, United Kingdom.
Andrew J MurtonDepartment of Surgery, University of Texas Medical Branch, Galveston, Texas, United States; Sealy Center of Aging, University of Texas Medical Branch, Galveston, Texas, United States.
Doaa R AbdelrahmanDepartment of Surgery, University of Texas Medical Branch, Galveston, Texas, United States; Sealy Center of Aging, University of Texas Medical Branch, Galveston, Texas, United States.
Jamie R BlackwellDepartment of Public Health and Sports Sciences, Nutritional Physiology Research Group, University of Exeter, Exeter, United Kingdom.
Christopher P KoscienDepartment of Public Health and Sports Sciences, Nutritional Physiology Research Group, University of Exeter, Exeter, United Kingdom.
Karen M KnappCollege of Medicine and Health, University of Exeter, Exeter, United Kingdom.
Jonathan FulfordCollege of Medicine and Health, University of Exeter, Exeter, United Kingdom.
Tim J A FinniganMarlow Foods Ltd, Stokesley, North Yorkshire, United Kingdom.
Marlou L DirksDepartment of Public Health and Sports Sciences, Nutritional Physiology Research Group, University of Exeter, Exeter, United Kingdom.
Francis B StephensDepartment of Public Health and Sports Sciences, Nutritional Physiology Research Group, University of Exeter, Exeter, United Kingdom.
Benjamin T WallDepartment of Public Health and Sports Sciences, Nutritional Physiology Research Group, University of Exeter, Exeter, United Kingdom. Electronic address: b.t.wall@exeter.ac.uk.

Funding

UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
NIA NIH HHS P30 AG024832
6 · The paper itself

Abstract

backgroundIt remains unclear whether non-animal-derived dietary protein sources (and therefore vegan diets) can support resistance training-induced skeletal muscle remodeling to the same extent as animal-derived protein sources.

methodsIn Phase 1, 16 healthy young adults (m = 8, f = 8; age: 23 ± 1 y; BMI: 23 ± 1 kg/m

objectivesTo investigate whether a high-protein, mycoprotein-rich, non-animal-derived diet can support resistance training-induced skeletal muscle remodeling to the same extent as an isonitrogenous omnivorous diet.

resultsDaily MyoPS rates were ∼12% higher in the exercised than in the rested leg (2.46 ± 0.27%·d

conclusionsOmnivorous and vegan diets can support comparable rested and exercised daily MyoPS rates in healthy young adults consuming a high-protein diet. This translates to similar skeletal muscle adaptive responses during prolonged high-volume resistance training, irrespective of dietary protein provenance. This trial was registered at clinicaltrials.gov as NCT03572127.

Indexed as

Diet, High-ProteinResistance TrainingDietary ProteinsDiet, VeganHumansHypertrophyMuscle, SkeletalMuscle StrengthVegansDietary Proteinshypertrophymuscle protein synthesismycoproteinresistance exercisevegan

Identifiers

PMID36822394
PMCPMC10308267

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.