Evidence map›Paper›PMID 32673455›Full record

ArticleBiomedica : revista del Instituto Nacional de Salud2020

Polymorphisms of leptin-melanocortin system genes associated with obesity in an adult population from Barranquilla

Pilar Garavito, María Isabel Mosquera-Heredia, Luis Fang, Fausto Payares, Martha Ruiz, Isis Arias, Rafael Tuesca, Édgar Navarro, Carlos Silvera-Redondo

Open access · diamondAbstract read
In one paragraph

Article in Biomedica : revista del Instituto Nacional de Salud, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 47% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

9 authors at 1 institution in 1 country.

Pilar GaravitoGrupo de Investigación Genética y Medicina Molecular, Departamento de Medicina, Universidad del Norte, Barranquilla, Colombia. mpgaravi@uninorte.edu.co.
María Isabel Mosquera-HerediaGrupo de Investigación Genética y Medicina Molecular, Departamento de Medicina, Universidad del Norte, Barranquilla, Colombia. biomedica@ins.gov.co.
Luis FangGrupo de Investigación Genética y Medicina Molecular, Departamento de Medicina, Universidad del Norte, Barranquilla, Colombia. biomedica@ins.gov.co.
Fausto PayaresGrupo de Investigación Genética y Medicina Molecular, Departamento de Medicina, Universidad del Norte, Barranquilla, Colombia. biomedica@ins.gov.co.
Martha RuizGrupo de Investigación Genética y Medicina Molecular, Departamento de Medicina, Universidad del Norte, Barranquilla, Colombia. biomedica@ins.gov.co.
Isis AriasGrupo de Investigación Genética y Medicina Molecular, Departamento de Medicina, Universidad del Norte, Barranquilla, Colombia. biomedica@ins.gov.co.
Rafael TuescaGrupo de Investigación Proyecto UNI, Departamento de Salud Pública, Universidad del Norte, Barranquilla, Colombia. biomedica@ins.gov.co.
Édgar NavarroGrupo de Investigación Proyecto UNI, Departamento de Salud Pública, Universidad del Norte, Barranquilla, Colombia. biomedica@ins.gov.co.
Carlos Silvera-RedondoGrupo de Investigación Genética y Medicina Molecular, Departamento de Medicina, Universidad del Norte, Barranquilla, Colombia. biomedica@ins.gov.co.
Universidad del Norte · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Obesity is considered a serious public health problem. Efforts have been directed to search for candidate genes such as LEP, LEPR, and MC4R involved in the leptin-melanocortin system. The neuroendocrine regulation of these genes on energy intake and balance influences the pathogenesis of this disease. Contradictory results regarding the association of these genes with obesity raise the need for new research. Objective: To analyze the association between obesity and LEP rs2167270, LEPR rs1137101, and MC4R rs17782313 polymorphisms and the clinical and biochemical variables in obese adults from Barranquilla, Colombia. Materials and methods: We analyzed 111 obese adults and 155 non-obese individuals as controls. The polymorphisms were determined by real-time PCR. Besides, anthropometric measures, blood pressure, and biochemical tests were evaluated. Results: No statistical differences were found in allele and genotype frequencies of gene polymorphisms between groups. The CC genotype of MC4R rs17782313 polymorphism was associated with increased systolic blood pressure and T allele and TT genotype, with decreased HDL cholesterol in obese adults. The effect of the other polymorphisms on these variables was not evidenced. Conclusions: LEP rs2167270, LEPR rs1137101, and MC4R rs17782313 polymorphisms were not associated with obesity in the population under study. MC4R rs17782313 polymorphisms were associated with an increase in systolic blood pressure and a decrease in HDL cholesterol.

Indexed as

Polymorphism, Single NucleotideAdultAgedAllelesBlood PressureCase-Control StudiesCholesterol, HDLColombiaCross-Sectional StudiesFemaleGene FrequencyGenotypeGlycated HemoglobinHumansInsulinLeptinCholesterol, HDLGlycated HemoglobinInsulinLEP protein, humanLEPR protein, humanLeptinMC4R protein, humanReceptor, Melanocortin, Type 4Receptors, LeptinObesity/geneticspolymorphism

Identifiers

PMID32673455
PMCPMC7505507
OpenAlexW3042058678

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.