Evidence map›Paper›PMID 29374510›Full record

Trial reportMetabolism: clinical and experimental2018

Plasma fatty acyl-carnitines during 8 weeks of overfeeding: relation to diet energy expenditure and body composition: the PROOF study.

George A Bray, Leanne M Redman, Lilian de Jonge, Jennifer Rood, Elizabeth F Sutton, Steven R Smith

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Metabolism: clinical and experimental, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 18% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
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

6 authors at 5 institutions in 1 country.

George A BrayPBRC, Pennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA, United States. Electronic address: brayga@pbrc.edu.
Leanne M RedmanPBRC, Pennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA, United States. Electronic address: Leanne.redman@pbrc.edu.
Lilian de JongeDepartment of Nutrition and Food Studies, George Mason University, Fairfax, VA, United States. Electronic address: edejonge@gmu.edu.
Jennifer RoodPBRC, Pennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA, United States. Electronic address: Jennifer.rood@pbrc.edu.
Elizabeth F SuttonPBRC, Pennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA, United States; Magee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: Elizabeth.suddon@pbrc.edu.
Steven R SmithTranslational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, FL, United States. Electronic address: Steven.R.Smith.MD@flhosp.org.
Louisiana State University System · USGeorge Mason University · USPennington Biomedical Research Center · USTranslational Research Institute for Metabolism and Diabetes · USUniversity of Pittsburgh · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

objectiveOverfeeding is a strategy for evaluating the effects of excess energy intake. In this secondary analysis we tested the possibility that different levels of dietary protein might differentially modify the response of fatty acyl-carnitines to overfeeding.

methodsTwenty-three healthy adult men and women were overfed by 40% for 8 weeks while in-patients with diets containing 5% (LPD), 15% (NPD) or 25% (HPD) protein. Plasma fatty acyl-carnitines were measured by gas chromatography/mass spectrometry (GC/MS) at baseline and after 8 weeks of overfeeding. Measurements included: body composition by DXA, energy expenditure by ventilated hood and doubly-labeled water, fat cell size from subcutaneous fat biopsies, and fat distribution by CT scan.

resultsAnalysis was done on 5 groups of fatty acyl-carnitines identified by principal components analysis and 6 individual short-chain fatty acyl carnitines. Higher protein intake was associated with significantly lower 8 week levels of medium chain fatty acids and C2, C4-OH and C 6:1, but higher values of C3 and C5:1 acyl-carnitines derived from essential amino acids. In contrast energy and fat intake were only weakly related to changes in fatty acyl-carnitines. A decease or smaller rise in 8 week medium chain acyl-carnitines was associated with an increase in sleeping energy expenditure (P = 0.0004), and fat free mass (P < 0.0001) and a decrease in free fatty acid concentrations (FFA) (P = 0.0067). In contrast changes in short-chain fatty acyl-carnitines were related to changes in resting energy expenditure (P = 0.0026), and fat free mass (P = 0.0007), and C4-OH was positively related to FFA (P = 0006).

conclusionProtein intake was the major factor influencing changes in fatty acyl carnitines during overfeeding with higher values of most acyl-fatty acids on the low protein diet. The association of dietary protein and fat intake may explain the changes in energy expenditure and metabolic variables resulting in the observed patterns of fatty acyl carnitines.

Indexed as

AdolescentAdultBody CompositionCarnitineDietEnergy IntakeEnergy MetabolismFatty AcidsFemaleHumansHyperphagiaMaleYoung AdultacylcarnitineCarnitineFatty AcidsBody fatFat cell sizeFat free massFat oxidationFatty acyl-carnitinesOverfeeding

Identifiers

PMID29374510
PMCPMC9058975
OpenAlexW2785372287

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.