AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (16 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Plasma metabolic signatures of dietary fats and risk of prediabetes

Pan ZhuangaHongbo ShibXuzhi WanaHaoyu LibYimei TianbDenghui MengbXiaohui LiuaXunan LinaYu Zhangb( )Jingjing Jiaoa( )
Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
Department of Food Science and Nutrition, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China

Peer review under responsibility of Beijing Academy of Food Sciences.

Show Author Information

Abstract

The metabolic response to dietary fat intake and its association with prediabetes are unclear. We aimed to identify the plasma metabolite profiles related to dietary fats and test if they are associated with prediabetes risk. Within the Precision Nutrition and Food Safety for Dietary Prevention of Chronic Disease cohort, we analyzed plasma metabolites from 207 participants (comprising 102 prediabetes cases and 105 controls) via untargeted metabolomics. Dietary fat intakes were assessed using a validated food frequency questionnaire. Metabolic signatures related to dietary fats were identified using elastic net regression and 10-fold cross-validation. The associations of metabolic signatures with prediabetes were evaluated using Poisson regression. We identified multi-metabolite profiles comprising 26 metabolites for intake of saturated fatty acids (SFAs), 32 metabolites for monounsaturated fatty acids (MUFAs), 27 metabolites for polyunsaturated fatty acids (PUFAs), 24 metabolites for n-3 PUFAs, and 25 metabolites for n-6 PUFAs. These metabolic signatures were robustly correlated with corresponding dietary fats intakes (Pearson r = 0.42–0.61; P < 0.001). After adjusting for potential risk factors, metabolic signatures of PUFAs (ORQ4 vs. Q1 = 0.57, 95% CI: 0.35–0.93) and n-3 PUFAs (ORQ4 vs. Q1 = 0.56, 95% CI: 0.34–0.92) were inversely associated with prediabetes prevalence but no significant associations were found for metabolic signatures of dietary SFAs, MUFAs, and n-6 PUFAs. Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that dietary PUFAs and n-3 PUFAs promoted the pentose phosphate pathway and glycerolipid metabolism. Moreover, key metabolites related to PUFA/n-3 PUFA consumption were correlated with prediabetes. Our findings reveal the plasma metabolic signatures characterizing typical dietary fat intake and support the beneficial role of PUFAs, especially n-3 PUFAs, in prediabetes prevention by modulating the pentose phosphate pathway and glycerolipid metabolism.

Electronic Supplementary Material

Download File(s)
fshw-15-5-9250462_ESM.docx (426.9 KB)

References

【1】
【1】
 
 
Food Science and Human Wellness
Article number: 9250462

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Zhuang P, Shi H, Wan X, et al. Plasma metabolic signatures of dietary fats and risk of prediabetes. Food Science and Human Wellness, 2026, 15(5): 9250462. https://doi.org/10.26599/FSHW.2025.9250462

852

Views

52

Downloads

0

Crossref

0

Web of Science

1

Scopus

0

CSCD

Received: 05 December 2023
Revised: 18 January 2024
Accepted: 16 February 2024
Published: 23 June 2026
© 2026 Beijing Academy of Food Sciences. Publishing services by Tsinghua University Press.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).