Evidence map›Paper›PMID 32012784›Full record

ReviewMetabolites2020

Metabolically Healthy Obesity-Heterogeneity in Definitions and Unconventional Factors.

Inês Brandão, Maria João Martins, Rosário Monteiro

Open access · goldAbstract readReview
In one paragraph

Review in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 pooled it
11.2field-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

55 citing papers in PubMed, 2 syntheses or guidelines pooled it, 109 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  9. Review
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  15. Article
  16. Obesity and metabolic disease in migrants: a role for the gut microbiome?Frontiers in clinical diabetes and healthcare · 2025
    Review
  17. PCOS and Obesity: Contraception Challenges.Open access journal of contraception · 2025
    Review
  18. Article
  19. Article
  20. 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

3 authors at 2 institutions in 1 country.

Inês BrandãoDepartament of Biomedicine, Biochemistry Unit, Faculty of Medicine, University of Porto,Al. Prof. Hernâni Monteiro, 4200-319 Porto, Portugal.
Maria João MartinsDepartament of Biomedicine, Biochemistry Unit, Faculty of Medicine, University of Porto,Al. Prof. Hernâni Monteiro, 4200-319 Porto, Portugal.
Rosário MonteiroDepartament of Biomedicine, Biochemistry Unit, Faculty of Medicine, University of Porto,Al. Prof. Hernâni Monteiro, 4200-319 Porto, Portugal.
Universidade do Porto · PTPolytechnic Institute of Castelo Branco · PT

Funding

FEDER - Fundo Europeu de Desenvolvimento Regional, through NORTE 2020 Programa Operacional Regional do Norte NORTE-01-0145-FEDER-000012Instituto de Investigação e Inovação em Saúde UID/BIM/04293/2013
6 · The paper itself

Abstract

The concept of heterogeneity among obese individuals in their risk for developing metabolic dysfunction and associated complications has been recognized for decades. At the origin of the heterogeneity idea is the acknowledgement that individuals with central obesity are more prone to developing type 2 diabetes and cardiovascular disease than those with peripheral obesity. There have been attempts to categorize subjects according to their metabolic health and degree of obesity giving rise to different obese and non-obese phenotypes that include metabolically unhealthy normal-weight (MUHNW), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO). Individuals belonging to the MHO phenotype are obese according to their body mass index although exhibiting fewer or none metabolic anomalies such as type 2 diabetes, dyslipidemia, hypertension, and/or unfavorable inflammatory and fribinolytic profiles. However, some authors claim that MHO is only transient in nature. Additionally, the phenotype categorization is controversial as it lacks standardized definitions possibly blurring the distinction between obesity phenotypes and confounding the associations with health outcomes. To add to the discussion, the factors underlying the origin or protection from metabolic deterioration and cardiometabolic risk for these subclasses are being intensely investigated and several hypotheses have been put forward. In the present review, we compare the different definitions of obesity phenotypes and present several possible factors underlying them (adipose tissue distribution and cellularity, contaminant accumulation on the adipose tissue, dysbiosis and metabolic endotoxemia imposing on to the endocannabinoid tone and inflammasome, and nutrient intake and dietary patterns) having inflammatory activation at the center.

Indexed as

adipocyte hypertrophyendocannabinoid systemgut microbiotainflammasomemetabolically healthy obese phenotypemetabolically unhealthy normal-weight phenotypemetabolically unhealthy obese phenotypemetabolic inflammationobesity phenotypespersistent organic pollutants

Identifiers

PMID32012784
PMCPMC7074352
OpenAlexW3002924774

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.