Associations between dietary fatty acids and liver fat accumulation in the UK Biobank

生命银行 食品科学 医学 化学 生物 生物信息学
作者
Josefina Orliacq,Aurora Perez‐Cornago,Jennifer Carter
出处
期刊:Proceedings of the Nutrition Society [Cambridge University Press]
卷期号:83 (OCE2)
标识
DOI:10.1017/s002966512400449x
摘要

Steatotic liver disease, defined as >5% of hepatic fat content, is a major contributor to global morbidity and mortality, in particular due to its category metabolic associated steatotic liver disease (MASLD) (1) . While its prevention focuses on promoting physical activity and maintaining a healthy weight and balanced diet, the associations between dietary fatty acids and liver fat remain unclear (2,3) . The aim of this study was to examine the associations between dietary fatty acids and liver fat in the absence of excessive alcohol intake, independently of energy intake. Analyses were conducted on 9,268 non-diabetic participants from the UK Biobank with no pre- existing liver chronic illness or cardiovascular disease at baseline, and without excessive alcohol consumption. Dietary intake of total fat, saturated fatty acids (SFAs), polyunsaturated fatty acids (PUFAs) and monounsaturated fatty acids (MUFAs) was measured using the mean of ≥2 Oxford WebQ 24-hr dietary assessments, responded to between 2009 and 2012. Liver proton density fat fraction (LPDFF) was measured by magnetic resonance imaging between 2016 and 2020. Multivariable linear regression models were calculated to assess the associations between fatty acid intakes and LPDFF, adjusting for key demographic and lifestyle confounders. In addition, associations between LPDFF and 10 individual SFAs, 7 PUFAs, and 4 MUFAs were also examined. Sensitivity analyses were carried out including participants who responded ≥4 dietary assessments (N=2,828). After fully adjusting for confounders, no significant associations between LPDFF (%) and MUFAs were found. Inverse associations with LPDFF were observed for PUFAs (−5.8% relative difference [95% confidence interval −0.6, −1.9]), per 5% increase in intake, while SFAs were positively associated with LPDFF (5.8% [3.3, 8.3]). Positive associations were observed per 1 SD increase in intake of individual fatty acids SFA stearic acid (4.20% [2.84, 5.57]) and palmitic acid (3.15% [1.78, 4.54]). Negative associations were observed for PUFAs alpha-linoleic acid (−2.32% [−3.47, −1.17]) and docosahexaenoic acid (−2.14% [−3.23, −1.0.3], and for MUFA erucic acid (−2.52% [−3.61, −1.43]). Sensitivity analyses presented similar results, and the associations between PUFAs and liver fat became slightly stronger (−10.73%, [−17.58, −3.32]). This observational study suggests that SFAs and PUFAs are associated with liver fat in opposite directions, independently of energy intake. While total MUFAs did not present significant associations with LPDFF, erucic acid was inversely associated with liver fat, highlighting the value of studying individual fatty acids. These different associations provide valuable information for the design of dietary trials that compare interventions with different types of fatty acids. These further studies would allow a better understanding of the ideal dietary advice to prevent liver steatosis and its global health impact.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
刚刚
可爱的函函应助Owen采纳,获得10
1秒前
1秒前
1秒前
1秒前
1秒前
义气博超发布了新的文献求助50
1秒前
于佳卉发布了新的文献求助10
1秒前
1秒前
2秒前
超级如风完成签到,获得积分10
2秒前
小宝爸爸发布了新的文献求助10
2秒前
HaHa完成签到,获得积分20
2秒前
2秒前
CC完成签到,获得积分10
3秒前
噗噗完成签到,获得积分10
3秒前
3秒前
4秒前
hh发布了新的文献求助10
4秒前
4秒前
哭泣雅绿发布了新的文献求助10
4秒前
科目三应助wldsd采纳,获得10
5秒前
HaHa发布了新的文献求助10
5秒前
6秒前
6秒前
朱朱朱完成签到,获得积分10
6秒前
Donny发布了新的文献求助30
6秒前
FashionBoy应助yuhan采纳,获得10
6秒前
6秒前
谢意欢完成签到,获得积分10
6秒前
6秒前
21度多云发布了新的文献求助10
7秒前
7秒前
7秒前
Mojito驳回了Gauss应助
7秒前
仇育辉发布了新的文献求助10
7秒前
万能图书馆应助邬紫依采纳,获得10
8秒前
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7350508
求助须知:如何正确求助?哪些是违规求助? 8962115
关于积分的说明 19036502
捐赠科研通 7000096
什么是DOI,文献DOI怎么找? 3220918
关于科研通互助平台的介绍 2385646
邀请新用户注册赠送积分活动 2201332