Evidence map›Paper›PMID 42363117›Full record

ArticleBMC endocrine disorders2026

Association between Body Fat composition and serum branched chain amino acids in patients with visceral obesity.

Fatima Gul, Asad Ullah, Yue Li, Zhimin Qian, Ling Cao, Dunmin She, Ying Li

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2026. 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

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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. 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

7 authors.

Fatima Gul *Department of Endocrinology, Northern Jiangsu People's Hospital, Yangzhou, China, Affiliated to Yangzhou University, Yangzhou, Jiangsu Province, 225001, China.
Asad Ullah *Department of Cardiology, Northern Jiangsu People's Hospital, Yangzhou, China, Affiliated to Yangzhou University, Yangzhou, Jiangsu Province, 225001, China.
Yue Li *Department of Endocrinology, Northern Jiangsu People's Hospital, Yangzhou, China, Affiliated to Yangzhou University, Yangzhou, Jiangsu Province, 225001, China.
Zhimin QianDepartment of Endocrinology, Northern Jiangsu People's Hospital, Yangzhou, China, Affiliated to Yangzhou University, Yangzhou, Jiangsu Province, 225001, China.
Ling CaoDepartment of Endocrinology, Northern Jiangsu People's Hospital, Yangzhou, China, Affiliated to Yangzhou University, Yangzhou, Jiangsu Province, 225001, China.
Dunmin SheDepartment of Endocrinology, Northern Jiangsu People's Hospital, Yangzhou, China, Affiliated to Yangzhou University, Yangzhou, Jiangsu Province, 225001, China. sdm1979@126.com.
Ying LiDepartment of Endocrinology, Northern Jiangsu People's Hospital, Yangzhou, China, Affiliated to Yangzhou University, Yangzhou, Jiangsu Province, 225001, China. liying1631230@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity, especially visceral obesity, is a major health issue globally, leading to metabolic disorders. Visceral fat accumulation is closely linked to insulin resistance and metabolic abnormalities. The role of branched-chain amino acids (BCAAs, e.g. leucine, isoleucine, and valine) in metabolic health, particularly in visceral obesity, remains unclear. Further investigation is needed to elucidate the relationships among body fat composition, BCAAs, and metabolic dysfunction in visceral obesity. PURPOSE: This study investigates the correlation between serum BCAAs levels and body fat composition in individuals with visceral obesity, as well as the association between these levels and metabolic indicators.

methodsA total of 105 participants were recruited and categorized into three groups: obesity without type 2 diabetes mellitus (T2DM) (n = 52), obesity with T2DM (n = 32), and healthy controls (n = 21). All participants underwent assessments of anthropometric measurements, biochemical parameters, and serum amino acid profiles. Correlation tests and multiple linear regression models were used to analyze relationships among variables and potential associations.

resultsSerum BCAAs levels were significantly higher in both obese groups than in the healthy, normal-weight control group (p < 0.001). Compared with the healthy normal-weight controls, valine showed the greatest increase (obesity non-T2DM: 36.48 ± 8.33 µg/mL; obesity and T2DM: 43.46 ± 7.68 µg/mL; controls: 30.48 ± 4.19 µg/mL). In Pearson's analysis, BCAAs were positively associated with visceral fat area (VFA), body mass index (BMI), waist circumference (WC), body fat ratio, and IR-related markers (HOMA-IR, fasting insulin, and HbA1c) (all p < 0.05). Valine demonstrated the strongest correlations with HOMA-IR (r = 0.481, p < 0.001) and WC (r = 0.507, p < 0.001). Strong positive correlations were also observed between BCAAs and fasting glucose, fasting insulin, HbA1c, and lipid parameters. In multivariable models, valine was independently and positively associated with central adiposity, as reflected by WC (standardized β = 0.357, p = 0.001), and with insulin resistance, as assessed by HOMA-IR (standardized β = 0.306, p = 0.003). Leucine and isoleucine were independently associated with WC and fasting insulin levels, while no independent associations were observed for phenylalanine or tyrosine.

conclusionValine is associated with central adiposity and insulin resistance in obesity and was independently associated with WC and HOMA-IR. BCAAs profiling may help identify individuals with increased metabolic risk; however, further prospective studies are required to validate its clinical and predictive value.

trial registrationNot applicable.

Indexed as

Adipose TissueAmino Acids, Branched-ChainBiomarkersBody CompositionDiabetes Mellitus, Type 2Obesity, AbdominalAdultBody Mass IndexCase-Control StudiesFemaleFollow-Up StudiesHumansInsulin ResistanceMaleMiddle AgedPrognosisAmino Acids, Branched-ChainBiomarkersBranched-chain amino acidsInsulin resistanceObesityType 2 diabetes mellitusvaline

Identifiers

PMID42363117
PMCPMC13326425

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.