Evidence map›Paper›PMID 37593209›Full record

ArticleClinical nutrition research2023

Interactions Between Genetic Risk Score and Healthy Plant Diet Index on Cardiometabolic Risk Factors Among Obese and Overweight Women.

Fatemeh Gholami, Mahsa Samadi, Niloufar Rasaei, Mir Saeid Yekaninejad, Seyed Ali Keshavarz, Gholamali Javdan, Farideh Shiraseb, Niki Bahrampour, Khadijeh Mirzaei

Open access · diamondAbstract read
In one paragraph

Article in Clinical nutrition research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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

9 authors at 3 institutions in 1 country.

Fatemeh GholamiDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran.ORCID https://orcid.org/0000-0001-9881-160X
Mahsa SamadiDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran.ORCID https://orcid.org/0000-0003-0495-5675
Niloufar RasaeiDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran.ORCID https://orcid.org/0000-0002-4997-0556
Mir Saeid YekaninejadDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran.ORCID https://orcid.org/0000-0003-3648-5276
Seyed Ali KeshavarzDepartment of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran.ORCID https://orcid.org/0000-0003-4970-5418
Gholamali JavdanFood Health Research Center, Hormozgan University of Medical Sciences, Bandar 'Abbas 79166-13885, Iran.ORCID https://orcid.org/0000-0003-0006-7881
Farideh ShirasebDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran.ORCID https://orcid.org/0000-0001-9279-5063
Niki BahrampourDepartment of Nutrition, Science and Research Branch, Islamic Azad University (SRBIAU), Tehran 14778-93855, Iran.ORCID https://orcid.org/0000-0002-7408-8602
Khadijeh MirzaeiDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran.ORCID https://orcid.org/0000-0003-0231-0478
Tehran University of Medical Sciences · IRHormozgan University of Medical Sciences · IRIslamic Azad University, Science and Research Branch · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People with higher genetic predisposition to obesity are more susceptible to cardiovascular diseases (CVDs) and healthy plant-based foods may be associated with reduced risks of obesity and other metabolic markers. We investigated whether healthy plant-foods-rich dietary patterns might have inverse associations with cardiometabolic risk factors in participants at genetically elevated risk of obesity. For this cross-sectional study, 377 obese and overweight women were chosen from health centers in Tehran, Iran. We calculated a healthy plant-based diet index (h-PDI) in which healthy plant foods received positive scores, and unhealthy plant and animal foods received reversed scores. A genetic risk score (GRS) was developed based on 3 polymorphisms. The interaction between GRS and h-PDI on cardiometabolic traits was analyzed using a generalized linear model (GLM). We found significant interactions between GRS and h-PDI on body mass index (BMI) (p = 0.02), body fat mass (p = 0.04), and waist circumference (p = 0.056). There were significant gene-diet interactions for healthful plant-derived diets and BMI-GRS on high-sensitivity C-reactive protein (p = 0.03), aspartate aminotransferase (p = 0.04), alanine transaminase (p = 0.05), insulin (p = 0.04), and plasminogen activator inhibitor 1 (p = 0.002). Adherence to h-PDI was more strongly related to decreased levels of the aforementioned markers among participants in the second or top tertile of GRS than those with low GRS. These results highlight that following a plant-based dietary pattern considering genetics appears to be a protective factor against the risks of cardiometabolic abnormalities.

Indexed as

Cardiometabolic risk factorsGenetic risk scoreHealthy-plant based dietary indexObesity

Identifiers

PMID37593209
PMCPMC10432161
OpenAlexW4385770990

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.