Evidence map›Paper›PMID 32788640›Full record

ArticleScientific reports2020

Genetic markers and continuity of healthy metabolic status: Tehran cardio-metabolic genetic study (TCGS).

Omid Gharooi Ahangar, Niloufar Javanrouh, Maryam S Daneshpour, Maryam Barzin, Majid Valizadeh, Fereidoun Azizi, Farhad Hosseinpanah

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Association of fat mass and obesity-associated (Journal of diabetes and metabolic disorders · 2022
    Review
  4. Article
  5. Article
  6. 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

7 authors.

Omid Gharooi AhangarObesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Science, P.O. Box: 19395-4763, Tehran, Iran.
Niloufar JavanrouhCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0002-6635-2450
Maryam S DaneshpourCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. daneshpour@sbmu.ac.ir.ORCID http://orcid.org/0000-0003-1525-8672
Maryam BarzinObesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Science, P.O. Box: 19395-4763, Tehran, Iran.
Majid ValizadehObesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Science, P.O. Box: 19395-4763, Tehran, Iran.
Fereidoun AziziEndocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Science, Tehran, Iran.
Farhad HosseinpanahObesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Science, P.O. Box: 19395-4763, Tehran, Iran. fhospanah@endocrine.ac.ir.ORCID http://orcid.org/0000-0001-5235-9451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obese individuals can be categorized as "healthy obese" (MHO) and "unhealthy obese" (MUO) based on the presence or absence of metabolic abnormality. This study sets out to assess potential genetic causes behind persistence of healthy metabolic status in individuals categorized as "healthy obese". This study was conducted in the framework of the Tehran cardio-metabolic genetic study (TCGS). 766 MHO subjects at the start of the study followed up 15 years for occurrence of metabolic unhealthy status. These two groups (persistent MHO, MUO) were compared regarding the presence or absence of 16 single nucleotide polymorphisms (SNPs) identified as being associated with obesity phenotype in previous studies. We used logistic regression model for assessing the association between MHO/MUO with candidate SNPs. By the end of the follow up, 206 (27%) were categorized as the persistent MHO and 560 (73%) as MUO groups. Considering interaction effect between some SNP and sex, a sex stratification analysis was applied. When the analysis was performed by gender, rs1121980 associated with a decrease, and rs7903146 with an increase in the likelihood of persistent MHO individuals. Another analysis was separately performed on postmenopausal women from both groups; it showed that rs13107325 was associated with an increase in the likelihood of persistent MHO status in this subgroup of woman. In all cases, the markers had dominant inheritance. This findings suggest that the expression of some genetic markers are associated with persistence of healthy metabolic status, in female obese individuals.

Indexed as

Polymorphism, Single NucleotideAdultAlpha-Ketoglutarate-Dependent Dioxygenase FTOCation Transport ProteinsFemaleGenetic MarkersHumansIranKaplan-Meier EstimateLogistic ModelsLongitudinal StudiesMaleMetabolic SyndromeObesityPostmenopauseSex CharacteristicsAlpha-Ketoglutarate-Dependent Dioxygenase FTOCation Transport ProteinsFTO protein, humanGenetic MarkersSLC39A8 protein, humanTCF7L2 protein, humanTranscription Factor 7-Like 2 Protein

Identifiers

PMID32788640
PMCPMC7423921

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