Evidence map›Paper›PMID 26479316›Full record

ArticleNutrition & diabetes2015

NMR-based metabolic profiling in healthy individuals overfed different types of fat: links to changes in liver fat accumulation and lean tissue mass.

A Elmsjö, F Rosqvist, M K R Engskog, J Haglöf, J Kullberg, D Iggman, L Johansson, H Ahlström, T Arvidsson, U Risérus and 1 more

Abstract read
In one paragraph

Article in Nutrition & diabetes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Tools for Enhanced NMR-Based Metabolomics Analysis.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  6. Article
  7. Article
  8. Recent Advances in NMR-Based Metabolomics.Analytical chemistry · 2017
    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

11 authors.

A ElmsjöDepartment Medicinal Chemistry; Analytical Pharmaceutical Chemistry, Uppsala University, Uppsala, Sweden.
F RosqvistDepartment of Public Health and Caring Sciences; Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden.
M K R EngskogDepartment Medicinal Chemistry; Analytical Pharmaceutical Chemistry, Uppsala University, Uppsala, Sweden.
J HaglöfDepartment Medicinal Chemistry; Analytical Pharmaceutical Chemistry, Uppsala University, Uppsala, Sweden.
J KullbergDepartment of Radiology, Oncology and Radiation Sciences; Radiology, Uppsala University, Uppsala, Sweden.
D IggmanDepartment of Public Health and Caring Sciences; Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden.
L JohanssonDepartment of Radiology, Oncology and Radiation Sciences; Radiology, Uppsala University, Uppsala, Sweden.
H AhlströmDepartment of Radiology, Oncology and Radiation Sciences; Radiology, Uppsala University, Uppsala, Sweden.
T ArvidssonDepartment Medicinal Chemistry; Analytical Pharmaceutical Chemistry, Uppsala University, Uppsala, Sweden.
U RisérusDepartment of Public Health and Caring Sciences; Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden.
C PetterssonDepartment Medicinal Chemistry; Analytical Pharmaceutical Chemistry, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvereating different dietary fatty acids influence the amount of liver fat stored during weight gain, however, the mechanisms responsible are unclear. We aimed to identify non-lipid metabolites that may differentiate between saturated (SFA) and polyunsaturated fatty acid (PUFA) overfeeding using a non-targeted metabolomic approach. We also investigated the possible relationships between plasma metabolites and body fat accumulation.

methodsIn a randomized study (LIPOGAIN study), n=39 healthy individuals were overfed with muffins containing SFA or PUFA. Plasma samples were precipitated with cold acetonitrile and analyzed by nuclear magnetic resonance (NMR) spectroscopy. Pattern recognition techniques were used to overview the data, identify variables contributing to group classification and to correlate metabolites with fat accumulation.

resultsWe previously reported that SFA causes a greater accumulation of liver fat, visceral fat and total body fat, whereas lean tissue levels increases less compared with PUFA, despite comparable weight gain. In this study, lactate and acetate were identified as important contributors to group classification between SFA and PUFA (P<0.05). Furthermore, the fat depots (total body fat, visceral adipose tissue and liver fat) and lean tissue correlated (P(corr)>0.5) all with two or more metabolites (for example, branched amino acids, alanine, acetate and lactate). The metabolite composition differed in a manner that may indicate higher insulin sensitivity after a diet with PUFA compared with SFA, but this needs to be confirmed in future studies.

conclusionA non-lipid metabolic profiling approach only identified a few metabolites that differentiated between SFA and PUFA overfeeding. Whether these metabolite changes are involved in depot-specific fat storage and increased lean tissue mass during overeating needs further investigation.

Identifiers

PMID26479316
PMCPMC4631933

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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.