Evidence map›Paper›PMID 31197497›Full record

SynthesisMetabolomics : Official journal of the Metabolomic Society2019

Are we close to defining a metabolomic signature of human obesity? A systematic review of metabolomics studies.

Oscar Daniel Rangel-Huerta, Belén Pastor-Villaescusa, Angel Gil

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 4 pooled it
11.1field-weighted citation impact, top 1% 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

143 citing papers in PubMed, 4 syntheses or guidelines pooled it, 221 citations in OpenAlex.

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  3. Metabolomic signatures after bariatric surgery - a systematic review.Reviews in endocrine & metabolic disorders · 2022
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  12. Leptin-Mediated Changes in the Human Metabolome.The Journal of clinical endocrinology and metabolism · 2020
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83 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 3 countries.

Oscar Daniel Rangel-HuertaFaculty of Medicine, Department of Nutrition, University of Oslo, Oslo, Norway.ORCID 0000-0001-8585-0108
Belén Pastor-VillaescusaLMU - Ludwig-Maximilians-Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany.ORCID 0000-0003-0817-6804
Angel GilDepartment of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix, Centre for Biomedical Research, University of Granada", Granada, Spain. agil@ugr.es.ORCID 0000-0001-7663-0939
Helmholtz Zentrum München · DEUniversidad de Granada · ESUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionObesity is a disorder characterized by a disproportionate increase in body weight in relation to height, mainly due to the accumulation of fat, and is considered a pandemic of the present century by many international health institutions. It is associated with several non-communicable chronic diseases, namely, metabolic syndrome, type 2 diabetes mellitus (T2DM), cardiovascular diseases (CVD), and cancer. Metabolomics is a useful tool to evaluate changes in metabolites due to being overweight and obesity at the body fluid and cellular levels and to ascertain metabolic changes in metabolically unhealthy overweight and obese individuals (MUHO) compared to metabolically healthy individuals (MHO).

objectivesWe aimed to conduct a systematic review (SR) of human studies focused on identifying metabolomic signatures in obese individuals and obesity-related metabolic alterations, such as inflammation or oxidative stress.

methodsWe reviewed the literature to identify studies investigating the metabolomics profile of human obesity and that were published up to May 7th, 2019 in SCOPUS and PubMed through an SR. The quality of reporting was evaluated using an adapted of QUADOMICS.

resultsThirty-three articles were included and classified according to four types of approaches. (i) studying the metabolic signature of obesity, (ii) studying the differential responses of obese and non-obese subjects to dietary challenges (iii) studies that used metabolomics to predict weight loss and aimed to assess the effects of weight loss interventions on the metabolomics profiles of overweight or obese human subjects (iv) articles that studied the effects of specific dietary patterns or dietary compounds on obesity-related metabolic alterations in humans.

conclusionThe present SR provides state-of-the-art information about the use of metabolomics as an approach to understanding the dynamics of metabolic processes involved in human obesity and emphasizes metabolic signatures related to obesity phenotypes.

Indexed as

MetabolomeDietHumansMetabolomicsObesityWeight LossDietary interventionMetabolic profilingMetabolomicsObesity and overweightWeight loss

Identifiers

PMID31197497
PMCPMC6565659
OpenAlexW2952204968

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.