Evidence map›Paper›PMID 39798053›Full record

ArticleAmino acids2025

The relationship between dietary branched-chain and aromatic amino acids with the regulation of leptin and FTO genes in adipose tissue of patients undergoing abdominal surgery.

Farshad Teymoori, Hossein Farhadnejad, Mostafa Norouzzadeh, Mitra Kazemi Jahromi, Niloufar Saber, Ebrahim Mokhtari, Golaleh Asghari, Emad Yuzbashian, Parvin Mirmiran, Alireza Khalaj and 3 more

Abstract read
In one paragraph

Article in Amino acids, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. The emerging role of branched-chain amino acid metabolism in obesity.International journal of obesity (2005) · 2026
    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

13 authors.

Farshad Teymoori *Nutritional Sciences Research Center, Iran University of Medical Sciences, Tehran, Iran.
Hossein Farhadnejad *Nutrition and Endocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mostafa NorouzzadehDepartment of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Mitra Kazemi JahromiEndocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Niloufar SaberNutrition and Endocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ebrahim MokhtariNutrition and Endocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Golaleh AsghariDepartment of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Emad YuzbashianDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Parvin MirmiranNutrition and Endocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Alireza KhalajDepartment of Surgery, Tehran Obesity Treatment Center, Shahed University, Tehran, Iran.
Maryam ZarkeshCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. zarkesh1388@gmail.com.
Mehdi HedayatiCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammadreza VafaDepartment of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran. rezavafa@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have suggested that the interaction between diet and an individual's genetic predisposition can determine the likelihood of obesity and various metabolic disorders. The current study aimed to examine the association of dietary branched-chain amino acids(BCAAs) and aromatic amino acids(AAAs) with the expression of the leptin and FTO genes in the visceral and subcutaneous adipose tissues of individuals undergoing surgery. This cross-sectional study was conducted on 136 Iranian adults, both men and women, aged ≥18 years. The samples were selected from patients admitted for abdominal surgeries. The dietary intake of BCAAs and AAAs was determined using a valid and reliable 168-item food frequency questionnaire. Using the quantitative PCR method, leptin and FTO mRNA expression was measured in both visceral and subcutaneous fat tissues. The mean age of the participants was 39.8 ± 12.7 years, and the mean intake of BCAAs and AAAs was 17.7 ± 0.9 and 9.3 ± 0.3% of protein per day, respectively. In overweight-obese patients(body mass index = 25-34.9 kg/m

Indexed as

Adipose TissueAlpha-Ketoglutarate-Dependent Dioxygenase FTOAmino Acids, AromaticAmino Acids, Branched-ChainLeptinAdultCross-Sectional StudiesFemaleGene Expression RegulationHumansMaleMiddle AgedObesitySubcutaneous FatAlpha-Ketoglutarate-Dependent Dioxygenase FTOAmino Acids, AromaticAmino Acids, Branched-ChainFTO protein, humanLEP protein, humanLeptinAdipose tissuesAromatic amino acidsBranched amino acidsFTOLeptinNutrigenomicsObesity

Identifiers

PMID39798053
PMCPMC11724777

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.