Evidence mapPaperPMID 26123789Full record

Trial reportLipids in health and disease2015

Modulation of the lipidomic profile due to a lipid challenge and fitness level: a postprandial study.

Ciara Morris, Colm M O'Grada, Miriam F Ryan, Michael J Gibney, Helen M Roche, Eileen R Gibney, Lorraine Brennan

2 registry-linked trialsOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Lipids in health and disease, 2015. 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 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
0.3field-weighted citation impact, top 38% 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.

NCT01172951 nacompletednot on this map

A Nutrigenomics Study of Post-prandial Metabolic Responses in Individuals of Varying Body Weight: An Assessment of the Body's Response to Meals Containing Different Levels of Fat and Carbohydrate

TypeinterventionalSponsorUniversity College DublinRan2008 to 2010Enrolled200ConditionsHealthy SubjectsArmsOral glucose tolerance test, Oral lipid tolerance test
NCT06878781 narecruitingnot on this mapstarted 2024, after this paper: background citation

Standardized Meals With Different Macronutrient Ratios on the Postprandial Metabolome and Metabolic Flexibility

TypeinterventionalSponsorInstituto Nacional de Medicina GenomicaRan2024 to 2026Enrolled300ConditionsFasting, Postprandial Hyperglycemia, Lipid Metabolism Disorders, Glucose Metabolism DisordersArmsHigh carbohydrate challenge, High lipid challenge, High proteinchallenge
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  3. Metabolomic profiles of being physically active and less sedentary: a critical review.Metabolomics : Official journal of the Metabolomic Society · 2021
    Pooled it
  4. Metabolomics of Aerobic Exercise in Chronic Stroke Survivors: A Pilot Study.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2019
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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

7 authors at 1 institution in 1 country.

Ciara MorrisUCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
Colm M O'GradaUCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
Miriam F RyanUCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
Michael J GibneyUCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
Helen M RocheUCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
Eileen R GibneyUCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.
Lorraine BrennanUCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland. lorraine.brennan@ucd.ie.
University College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe lipid composition of plasma is known to vary due to both phenotypic factors such as age, gender and BMI as well as with various diseases including cancer and neurological disorders. However, there is little investigation into the variation in the lipidome due to exercise and/ or metabolic challenges. The objectives of this present study were (i) To identify the glycerophospholipid, sphingolipids and ceramide changes in response to an oral lipid tolerance test (OLTT) in healthy adults and (ii) To identify the effect of aerobic fitness level on lipidomic profiles.

methods214 healthy adults aged 18-60 years were recruited as part of a metabolic challenge study. A sub-group of 40 volunteers were selected for lipidomic analysis based on their aerobic fitness level. Ceramides, glycerophospholipids and sphingomyelins were quantified in baseline fasting plasma samples as well as at 60, 120, 180, 240 and 300 min following a lipid challenge using high-throughput flow injection ESI-MS/MS.

resultsMixed model repeated measures analysis identified lipids which were significantly changing over the time course of the lipid challenge. Included in these lipids were lysophosphoethanolamines (LPE), phosphoethanolamines (PE), phosphoglycerides (PG) and ceramides (Cer). Five lipids (LPE a C18:2, LPE a C18:1, PE aa C36:2, PE aa C36:3 and N-C16:1-Cer) had a fold change > 1.5 at 120 min following the challenge and these lipids remained elevated. Furthermore, three of these lipids (LPE a C18:2, PE aa C36:2 and PE aa C36:3) were predictive of fasting and peak plasma TAG concentrations following the OLTT. Further analysis revealed that fitness level has a significant impact on the response to the OLTT: in particular significant differences between fitness groups were observed for phosphatidylcholines (PC), sphingomyelins (SM) and ceramides.

conclusionThis study identified specific lipids which were modulated by an acute lipid challenge. Furthermore, it identified a series of lipids which were modulated by fitness level. Future lipidomic studies should take into account environmental factors such as diet and fitness level during biomarker discovery work.

trial registrationData, clinicaltrials.gov, NCT01172951.

Indexed as

MetabolomePhysical FitnessPostprandial PeriodAdultDemographyFemaleHumansLipidsMalePhosphatidylcholinesLipidsPhosphatidylcholines

Identifiers

PMID26123789
PMCPMC4489019
OpenAlexW2121521800

What Socratic holds

Textmetadata
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 Socratic graph.