Evidence map›Paper›PMID 34900785›Full record

ArticleJournal of diabetes and metabolic disorders2021

Effect of dietary fat intake and genetic risk on glucose and insulin-related traits in Brazilian young adults.

Sooad Alsulami, Nathália Teixeira Cruvinel, Nara Rubia da Silva, Ana Carolina Antoneli, Julie A Lovegrove, Maria Aderuza Horst, Karani Santhanakrishnan Vimaleswaran

Open access · hybridAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Polygenic Risk and Nutrient Intake Interactions on Obesity Outcomes: A Systematic Review and Meta-Analysis of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  3. Pooled it
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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

7 authors at 3 institutions in 3 countries.

Sooad AlsulamiDepartment of Food and Nutritional Sciences, Hugh Sinclair Unit of Human Nutrition, University of Reading, Reading, RG6 6DZ UK.
Nathália Teixeira CruvinelNutritional Genomics Research Group, Faculty of Nutrition, Federal University of Goiás (UFG), Goiania, Goiás, Brazil.
Nara Rubia da SilvaNutritional Genomics Research Group, Faculty of Nutrition, Federal University of Goiás (UFG), Goiania, Goiás, Brazil.
Ana Carolina AntoneliNutritional Genomics Research Group, Faculty of Nutrition, Federal University of Goiás (UFG), Goiania, Goiás, Brazil.
Julie A LovegroveDepartment of Food and Nutritional Sciences, Hugh Sinclair Unit of Human Nutrition, University of Reading, Reading, RG6 6DZ UK.
Maria Aderuza Horst *Nutritional Genomics Research Group, Faculty of Nutrition, Federal University of Goiás (UFG), Goiania, Goiás, Brazil.
Karani Santhanakrishnan Vimaleswaran *Department of Food and Nutritional Sciences, Hugh Sinclair Unit of Human Nutrition, University of Reading, Reading, RG6 6DZ UK.
Universidade Federal de Goiás · BRUniversity of Reading · GBKing Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe development of metabolic diseases such as type 2 diabetes (T2D) is closely linked to a complex interplay between genetic and dietary factors. The prevalence of abdominal obesity, hyperinsulinemia, dyslipidaemia, and high blood pressure among Brazilian adolescents is increasing and hence, early lifestyle interventions targeting these factors might be an effective strategy to prevent or slow the progression of T2D.

methodsWe aimed to assess the interaction between dietary and genetic factors on metabolic disease-related traits in 200 healthy Brazilian young adults. Dietary intake was assessed using 3-day food records. Ten metabolic disease-related single nucleotide polymorphisms (SNPs) were used to construct a metabolic-genetic risk score (metabolic-GRS).

resultsWe found significant interactions between the metabolic-GRS and total fat intake on fasting insulin level (P

conclusionOur study has demonstrated a novel GRS-fat intake interaction in young Brazilian adults, where individuals with higher genetic risk and fat intake had increased glucose and insulin-related traits than those with lower genetic risk. Large intervention and follow-up studies with an objective assessment of dietary factors are needed to confirm our findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40200-021-00863-7.

Indexed as

BrazilFat intakeGene–diet interactionGenetic risk scoreMetabolic traits

Identifiers

PMID34900785
PMCPMC8630327
OpenAlexW3193407777

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.