Evidence map›Paper›PMID 26579206›Full record

ArticleNutrition & metabolism2015

Dietary fat and carbohydrate modulate the effect of the ATP-binding cassette A1 (ABCA1) R230C variant on metabolic risk parameters in premenopausal women from the Genetics of Atherosclerotic Disease (GEA) Study.

Leonor Jacobo-Albavera, Carlos Posadas-Romero, Gilberto Vargas-Alarcón, Sandra Romero-Hidalgo, Rosalinda Posadas-Sánchez, María Del Carmen González-Salazar, Alessandra Carnevale, Samuel Canizales-Quinteros, Aida Medina-Urrutia, Erika Antúnez-Argüelles and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nutrition & metabolism, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Interaction betweenNutrients · 2023
    Article
  4. Review
  5. Review
  6. The Role of the ATP-Binding Cassette A1 (ABCA1) in Human Disease.International journal of molecular sciences · 2021
    Review
  7. Review
  8. 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

11 authors at 2 institutions in 1 country.

Leonor Jacobo-AlbaveraLaboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
Carlos Posadas-RomeroDepartamento de Endocrinología, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City, Mexico.
Gilberto Vargas-AlarcónDepartamento de Biología Molecular, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City, Mexico.
Sandra Romero-HidalgoDepartamento de Genómica Computacional, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
Rosalinda Posadas-SánchezDepartamento de Endocrinología, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City, Mexico.
María Del Carmen González-SalazarDepartamento de Endocrinología, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City, Mexico.
Alessandra CarnevaleLaboratorio de Enfermedades Mendelianas, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
Samuel Canizales-QuinterosUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química UNAM-INMEGEN, Mexico City, Mexico.
Aida Medina-UrrutiaDepartamento de Endocrinología, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City, Mexico.
Erika Antúnez-ArgüellesLaboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Periférico Sur 4809 Colonia Arenal Tepepan, CP 14610 México, D.F. Mexico.
Teresa Villarreal-MolinaLaboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Periférico Sur 4809 Colonia Arenal Tepepan, CP 14610 México, D.F. Mexico.
National Institute of Genomic Medicine · MXInstituto Nacional de Cardiología · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the R230C-ATP-binding cassette A1 (ABCA1) variant has been consistently associated with HDL-C levels, its association with diabetes and other metabolic parameters is unclear. Estrogen and dietary factors are known to regulate ABCA1 expression in different tissues. Thus, we aimed to explore whether gender, menopausal status and macronutrient proportions of diet modulate the effect of this variant on various metabolic parameters.

methodsOne thousand five hundred ninety-eight controls from the GEA study were included (787 men, 363 premenopausal women and 448 menopausal women), previously assessed for anthropometric and biochemical measurements and visceral to subcutaneous abdominal fat (VAT/SAT) ratio on computed tomography. Taqman assays were performed for genotyping. Diet macronutrient proportions were assessed using a food frequency questionnaire validated for the Mexican population. Multivariate regression models were constructed to assess the interaction between the proportion of dietary macronutrients and the R230C polymorphism on metabolic parameters.

resultsAll significant interactions were observed in premenopausal women. Those carrying the risk allele and consuming higher carbohydrate/lower fat diets showed an unfavorable metabolic pattern [lower HDL-C and adiponectin levels, higher VAT/SAT ratio, homeostasis model assessment for insulin resistance (HOMA-IR) and higher gamma-glutamyl transpeptidase (GGT) and alkaline phosphatase (ALP) levels]. Conversely, premenopausal women carrying the risk allele and consuming lower carbohydrate/higher fat diets showed a more favorable metabolic pattern (higher HDL-C and adiponectin levels, and lower VAT/SAT ratio, HOMA-IR, GGT and ALP levels).

conclusionThis is the first study reporting a gender-specific interaction between ABCA1/R230C variant and dietary carbohydrate and fat percentages affecting VAT/SAT ratio, GGT, ALP, adiponectin levels and HOMA index. Our study confirmed the previously reported gender-specific ABCA1-diet interaction affecting HDL-C levels observed in an independent study. Our results show how gene-environment interactions may help further understand how certain gene variants confer metabolic risk, and may provide information useful to design diet intervention studies.

Indexed as

ABCA1AdiponectinGene-diet interactionGGTHDL-CInsulin resistanceR230CVisceral to subcutaneous abdominal fat ratio

Identifiers

PMID26579206
PMCPMC4647664
OpenAlexW2178396525

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.