Evidence map›Paper›PMID 15115711›Full record

ArticleAnnals of the rheumatic diseases2005

Contribution of polymorphisms in the apolipoprotein AI-CIII-AIV cluster to hyperlipidaemia in patients with gout.

F Cardona, F J Tinahones, E Collantes, A Escudero, E García-Fuentes, F J Soriguer

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Article in Annals of the rheumatic diseases, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. An update on the genetics of hyperuricaemia and gout.Nature reviews. Rheumatology · 2018
    Review
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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

6 authors at 3 institutions in 1 country.

F CardonaServicio de Endocrinología y Nutrición, Complejo Hospitalario Universitario Carlos Haya, Malaga, Spain. fernando.cardona.exts@juntadeandalucia.es
F J Tinahones
E Collantes
A Escudero
E García-Fuentes
F J Soriguer
Hospital Regional Universitario de Málaga · ESHospital Universitario Reina Sofía · ESHospital Costa del Sol · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have shown that hyperuricaemia is independently related to the insulin resistance syndrome and that polymorphisms of the apolipoprotein AI-CIII-AIV cluster are also related to insulin resistance.

objectiveTo study the prevalence of polymorphisms of the apolipoprotein AI-CIII-AIV cluster in persons with gout and to determine whether these polymorphisms contribute to the pathophysiology of gout or to altered lipid concentrations.

methodsPlasma cholesterol, triglycerides, uric acid, VLDL, LDL, IDL, and HDL triglycerides, cholesterol, and the renal excretion of uric acid were measured in 68 patients with gout with gout and 165 healthy subjects. Polymorphisms were studied by amplification and RFLP in all subjects, using XmnI and MspI in the apolipoprotein AI gene and SstI in the apolipoprotein CIII gene.

resultsThe A allele at position -75 bp in the apolipoprotein AI gene was more common in patients with gout than in controls (p = 0.01). Levels of cholesterol, triglycerides, uric acid, basal glycaemia, and HDL cholesterol were higher in the patients (p<0.001). In the patients there was also an interaction between mutations at the two polymorphic loci studied in the apolipoprotein AI gene (p = 0.04). An absence of the mutation at position -75 bp of the apolipoprotein AI gene resulted in increased plasma triglyceride levels.

conclusionsGouty patients have an altered allelic distribution in the apolipoprotein AI-CIII-AIV cluster, which could lead to changes in levels of lipoproteins. This is not caused by a single mutation but rather by a combination of different mutations.

Indexed as

Polymorphism, GeneticAdultApolipoprotein A-IApolipoprotein C-IIIApolipoproteinsApolipoproteins AApolipoproteins CGenetic Predisposition to DiseaseGoutHumansHyperlipidemiasLipidsMaleMiddle AgedMutationApolipoprotein A-Iapolipoprotein A-IVApolipoprotein C-IIIApolipoproteinsApolipoproteins AApolipoproteins CLipids

Identifiers

PMID15115711
PMCPMC1755175
OpenAlexW2010821639

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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.