Evidence map›Paper›PMID 40268049›Full record

Trial reportMetabolism: clinical and experimental2025

Protein oxidation in non-exercising healthy adults under varying dietary conditions: Physiological determinants, effects on fuel partitioning, and implications for body weight regulation.

Yigit Unlu, Emma J Stinson, Jonathan Krakoff, Paolo Piaggi

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Metabolism: clinical and experimental, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yigit UnluObesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Department of Health and Human Services, Phoenix, AZ, United States of America.
Emma J StinsonObesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Department of Health and Human Services, Phoenix, AZ, United States of America.
Jonathan KrakoffObesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Department of Health and Human Services, Phoenix, AZ, United States of America.
Paolo PiaggiObesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Department of Health and Human Services, Phoenix, AZ, United States of America; Department of Information Engineering, University of Pisa, Pisa, Italy. Electronic address: paolo.piaggi@nih.gov.

Funding

Factors which predict variance in weight changeZIADK069029 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KRAKOFF, JONATHAN · 2009 to 2025
$15.0M
Intramural NIH HHS ZIA DK069029
6 · The paper itself

Abstract

backgroundProtein oxidation (PROTOX) typically accounts for the smallest fraction of daily energy expenditure (24hEE) in humans compared to carbohydrate and lipid oxidation. However, inter-individual differences in PROTOX may explain differences in fuel partitioning and body weight change. We aimed to elucidate the physiological determinants of PROTOX under controlled 24-h dietary conditions, including eucaloric feeding, fasting, and overfeeding diets with variable protein content.

methodsEighty-six weight-stable healthy volunteers with normal glucose regulation (67 M/19F; age: 37 ± 10 years; BMI: 26.7 ± 4.5 kg/m

resultsPROTOX during energy balance (mean ± SD: 372 ± 78 kcal/day) was positively associated with protein intake (r = 0.39, p < 0.001), fat free mass (r = 0.35, p < 0.001), but not with fat mass (p = 0.24). Higher PROTOX was associated with higher 24-h urinary norepinephrine (partial r = 0.27, p = 0.01), but not epinephrine (p = 0.48), excretion rates. During normal-protein diets, higher PROTOX was associated with lower lipid oxidation, but showed no association with carbohydrate oxidation. Inter-individual variability in PROTOX did not predict changes in weight or body composition over two years.

conclusionDietary protein content, lean body mass, and sympathetic nervous system activity are key determinants of PROTOX. Although PROTOX did not predict free-living weight gain, increased PROTOX is associated with decreased lipid oxidation, underscoring its role in fuel partitioning and whole-body energy and substrate balance.

Indexed as

Body WeightDietDietary ProteinsEnergy MetabolismProteinsAdultCross-Over StudiesFastingFemaleHealthy VolunteersHumansMaleMiddle AgedOxidation-ReductionYoung AdultDietary ProteinsProteinsEnergy expenditureEpinephrineLipid oxidationNorepinephrineProtein leverageProtein oxidationWeight gain

Identifiers

PMID40268049
PMCPMC12170168

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.