Evidence map›Paper›PMID 41324690›Full record

Observational studyMolecular biology reports2025

Evaluation of Apolipoprotein-A1 genetic polymorphisms as biomarkers for Chagas cardiomyopathy in patients from Córdoba, Argentina.

Daniela A Velázquez López, Romina L Blasco, Hugo M Fernández Spector, Daniela S Gómez, Amina Sacks, Mariana S Montamat, H Walter Rivarola, Marina Chiappero, Alejandra L Báez, M Silvina Lo Presti

Abstract readObservational Study
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In one paragraph

Observational study in Molecular biology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Daniela A Velázquez LópezCentro de Investigación de la Enfermedad de Chagas y Leishmaniasis (CIECyL), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
Romina L BlascoCentro de Investigación de la Enfermedad de Chagas y Leishmaniasis (CIECyL), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
Hugo M Fernández SpectorCentro de Investigación de la Enfermedad de Chagas y Leishmaniasis (CIECyL), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
Daniela S GómezCentro de Investigación de la Enfermedad de Chagas y Leishmaniasis (CIECyL), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
Amina SacksCentro de Investigación de la Enfermedad de Chagas y Leishmaniasis (CIECyL), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
Mariana S MontamatCentro de Investigación de la Enfermedad de Chagas y Leishmaniasis (CIECyL), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
H Walter RivarolaCentro de Investigación de la Enfermedad de Chagas y Leishmaniasis (CIECyL), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
Marina ChiapperoInstituto de Diversidad y Ecología Animal (IDEA/CONICET), Universidad Nacional de Córdoba, Córdoba, Argentina.
Alejandra L BáezCentro de Investigación de la Enfermedad de Chagas y Leishmaniasis (CIECyL), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
M Silvina Lo PrestiCentro de Investigación de la Enfermedad de Chagas y Leishmaniasis (CIECyL), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina. drasilvinalopresti@fcm.unc.edu.ar.ORCID http://orcid.org/0000-0002-6151-5230

Funding

Fondo para la Investigación Científica y Tecnológica, Argentina PICT 2017Secretaría de Ciencia y Tecnología, Universidad Nacional de Córdoba Consolidar 2018-2023
6 · The paper itself

Abstract

backgroundChagas disease frequently leads to chronic chagasic cardiomyopathy, a major cause of mortality in endemic regions. Host genetic factors could potentially play a role in the progression of heart disease. This study aimed to assess the association between APOA1 polymorphisms and chagasic cardiomyopathy. METHODS AND

resultsA retrospective, observational study was conducted on 158 Trypanosoma cruzi-infected patients from Córdoba, Argentina, classified into three groups: G1 (without heart disease), G2 (with mild heart disease), and G3 (with severe heart disease). APOA1 G-75A and C+83T polymorphisms were genotyped using PCR-RFLP. No significant association was found between APOA1 polymorphisms and the overall presence or severity of chagasic cardiomyopathy (G1 vs. G2 + G3; G2 vs. G3). However, in subgroup analyses, the − 75/A allele was associated with an increased risk of ventricular extrasystoles (OR = 2.4; 95% CI: 1.04–5.53). Furthermore, sex- and age-stratified analyses revealed specific associations with arrhythmias for both the − 75/A and + 83/T variants. Notably, the heterozygous genotype for G-75A was associated with the progression of chagasic cardiac alterations in women (-75GA: OR = 4.35; 95% CI: 1.11–17.04).

conclusionAPOA1 genetic variants are not major determinants of chagasic cardiomyopathy at a population level in this cohort. However, our findings suggest they may act as modifiers of disease phenotype, modulating susceptibility to specific arrhythmic manifestations, particularly in demographic subgroups defined by sex and age. These results highlight the complex genetic architecture of Chagas disease and underline the need for further studies in larger cohorts to confirm these associations and elucidate their clinical relevance.

Indexed as

Apolipoprotein A-IChagas CardiomyopathyAdultAgedAllelesArgentinaBiomarkersFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedPolymorphism, GeneticPolymorphism, Single NucleotideAPOA1 protein, humanApolipoprotein A-IBiomarkersAPOA1 polymorphismsAssociation studyChagas cardiomyopathy

Identifiers

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Textmetadata
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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 Socratic graph.