Evidence map›Paper›PMID 34380558›Full record

ArticleBMC research notes2021

Association between the rs615563 variant of PCSK9 gene and circulating lipids and Type 2 diabetes.

Samira Taghizadeh Jazdani, Hajieh Bibi Shahbazian, Bahman Cheraghian, Mohammad Taha Jalali, Narges Mohammadtaghvaei

Open access · goldFull text read
In one paragraph

Article in BMC research notes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

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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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Samira Taghizadeh JazdaniHealth Research Institute, Diabetes Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Hajieh Bibi ShahbazianHealth Research Institute, Diabetes Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Bahman CheraghianDepartment of Epidemiology and Biostatistics, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Mohammad Taha JalaliDepartment of Laboratory Sciences, Faculty of Paramedicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Narges MohammadtaghvaeiDepartment of Laboratory Sciences, Faculty of Paramedicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. ntaghvaie@gmail.com.ORCID http://orcid.org/0000-0003-4175-8099
Ahvaz Jundishapur University of Medical Sciences · IR

Funding

Ahvaz Jundishapur University of Medical Sciences D-9509
6 · The paper itself

Abstract

objectiveMany different genetic variants of proprotein convertase subtilisin kexin 9 (PCSK9) are related to the serum levels of cholesterol and LDL cholesterol (LDL-C). The rs615563 variant of PCSK9 (a gain-of-function mutation) is associated with increased triglycerides and cholesterol levels, but its association with the incidence of diabetes is not well defined. This study aimed to investigate the relationship between the PCSK9 rs615563 variant with the incidence of type 2 diabetes. The data reported in this study are based on subsamples from a 5-year (2009-2014) cohort study of the adult population (590 subjects) aged 20 years and older. The rs615563 polymorphism was genotyped using polymerase chain reaction (PCR) followed by restriction fragment length polymorphism (RFLP) analysis.

resultsThe distribution of PCSK9 rs615563 genotypes was not significantly different between the diabetic and non-diabetic individuals. The incidence of diabetes after five-years of follow-up was not different between the genotypes. Our findings also showed no significant relationship between this polymorphism and serum lipid parameters. The data extracted from our cohort study do not support the findings that the gain-of-function mutations of PCSK9 predispose to the incidence of type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2Proprotein Convertase 9AdultCohort StudiesHumansLipidsProprotein ConvertasesSerine EndopeptidasesLipidsPCSK9 protein, humanProprotein Convertase 9Proprotein ConvertasesSerine EndopeptidasesLDL cholesterolPCR–RFLPPCSK9rs615563Type 2 diabetes

Identifiers

PMID34380558
PMCPMC8359546
OpenAlexW3187165937

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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.