Evidence map›Paper›PMID 40925524›Full record

Trial reportThe American journal of clinical nutrition2025

Ingestion of a lipid-rich meat matrix blunts the postexercise increase of myofibrillar protein synthesis rates in healthy adults: a randomized controlled trial.

Žan Zupančič, Andrew T Askow, Takeshi M Barnes, Max T Deutz, Alexander V Ulanov, Ryan N Dilger, Anna C Dilger, Jared W Willard, Richard Wa Mackenzie, Jocelyn E Harseim and 2 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05876299 (The Anabolic Properties of a Lipid-rich Pork Matrix), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT05876299 nacompletednot on this map

The Anabolic Properties of a Lipid-rich Pork Matrix

TypeinterventionalSponsorUniversity of Illinois at Urbana-ChampaignRan2023 to 2024Enrolled16ConditionsMuscle Protein SynthesisArms95.1% Lean Pork, 81.16% Lean Pork, Carbohydrate Beverage
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Review
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

12 authors.

Žan ZupančičDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Andrew T AskowDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Takeshi M BarnesDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Max T DeutzDivision of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Alexander V UlanovRoy J. Carver Biotechnology Center, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Ryan N DilgerDivision of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States; Department of Animal Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, IL, United States.
Anna C DilgerDepartment of Animal Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Jared W WillardChristie Clinic, Orthopedics & Sports Medicine, Champaign, IL, United States.
Richard Wa MackenzieResearch Centre for Health & Life Sciences, Faculty of Health & Life Sciences, Coventry University, Coventry, United Kingdom; Coventry University, Institute of Cardio-Metabolic Medicine, University Hospital Coventry & Warwick NHS Trust, Coventry, United Kingdom.
Jocelyn E HarseimCarle Foundation Hospital, Carle Health Cancer Institute, Urbana, IL, United States.
Diego Hernández-SaavedraDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Nicholas A BurdDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States; Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States. Electronic address: naburd@illinois.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is considerable variation in the anabolic action of ingesting protein-dense foods on the stimulation of postprandial myofibrillar protein synthesis rates (MPS) despite ingesting similar amounts of protein and essential amino acids (EAA).

objectivesThis study aims to determine the effects of consuming high-fat pork (HFP), low-fat pork (LFP), or a carbohydrate control (CHO) on the MPS response.

methodsIn a semicrossover design, 16 physically active adults (25 ± 5 y; 25.0 ± 2.3 kg/m

resultsBoth HFP and LFP conditions increased MPS above postabsorptive values (P = 0.028 and P < 0.001, respectively), with LFP eliciting a greater postexercise MPS {0.106 ± 0.026 %/h [95% confidence interval (CI): 0.088, 0.118]} than HFP [0.072 ± 0.027 %/h (95% CI: 0.057, 0.087); P = 0.030] and CHO [0.056 ± 0.035 %/h (95% CI: 0.41, 0.71); P < 0.001]. The absolute change in MPS from basal was significantly correlated with peak EAA and leucine concentrations (r = 0.4638, P = 0.017; r = 0.4211, P = 0.032).

conclusionsLFP stimulated MPS more than HFP or CHO conditions. Our work demonstrated that other nutrients in the food matrix, beyond total ingested protein or EAAs, can impact the regulation of MPS in healthy adults. This trial was registered at clinicaltrials.gov as NCT05876299.

Indexed as

Dietary FatsExerciseMeatMuscle ProteinsMyofibrilsProtein BiosynthesisAdultAnimalsDietary ProteinsFemaleHumansMaleMuscle, SkeletalPostprandial PeriodSwineYoung AdultDietary FatsDietary ProteinsMuscle Proteinsleucineporkprotein qualityprotein recommendationsresistance exerciseskeletal musclewhole foods

Identifiers

PMID40925524
PMCPMC12799377

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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.