Machine learning uncovers manganese as a key nutrient associated with reduced risk of steatotic liver disease

IF 6 2区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY
Simon Schophaus, Kate Townsend Creasy, Paul-Henry Koop, Jan Clusmann, Julius Jaeger, Varnitha Punnuru, Alexander Koch, Christian Trautwein, Rohit Loomba, Tom Luedde, Kai Markus Schneider, Carolin V. Schneider
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引用次数: 0

Abstract

Background

Metabolic dysfunction-associated steatotic liver disease (MASLD) affects approximately 20%–30% of the general population and is linked to high-caloric western style diet. However, there are little data that specific nutrients might help to prevent steatosis.

Methods

We analysed the UK Biobank (ID 71300) 24 h-nutritional assessments and investigated the association between nutrient intake calculated from food questionnaires and hepatic steatosis indicated by imaging or ICD10-coding. The effect of manganese (Mn) on subgroups with risk single nucleotide polymorphism carriage as well as the effect on metabolomics was investigated. All analyses are corrected for age, sex, body mass index, Townsend index for socioeconomic status, kcal, alcohol, protein intake, fat intake, carbohydrate intake, energy from beverages, diabetes, physical activity and for multiple testing.

Results

We used a random forest classifier to analyse the feature importance of 63 nutrients and imaging-proven steatosis in a cohort of over 25 000 UK Biobank participants. Increased dietary Mn intake was associated with a lower likelihood of MRI-diagnosed steatosis. Subsequently, we conducted a cohort study in over 200 000 UK Biobank participants to explore the relationship between Mn intake and hepatic or cardiometabolic outcomes and found that higher Mn intake was associated with a lower risk of ICD-10 coded steatosis (OR = .889 [.838–.943], p < .001), independent of other potential confounders.

Conclusion

Our study provides evidence that higher Mn intake may be associated with lower odds of steatosis in a large population-based sample. These findings underline the potential role of Mn in the prevention of steatosis, but further research is needed to confirm these findings and to elucidate the underlying mechanisms.

机器学习发现锰是降低脂肪肝风险的关键营养素。
背景:代谢功能障碍相关性脂肪性肝病(MASLD)约占总人口的 20%-30%,与高热量的西式饮食有关。然而,关于特定营养素有助于预防脂肪肝的数据却很少:我们分析了英国生物库(ID 71300)的 24 小时营养评估,并研究了通过食物问卷计算出的营养摄入量与影像学或 ICD10 编码显示的肝脂肪变性之间的关联。研究还调查了锰(Mn)对单核苷酸多态性携带风险亚组的影响以及对代谢组学的影响。所有分析均对年龄、性别、体重指数、社会经济地位汤森指数、千卡热量、酒精、蛋白质摄入量、脂肪摄入量、碳水化合物摄入量、饮料能量、糖尿病、体力活动和多重测试进行了校正:我们使用随机森林分类器分析了英国生物库 25000 多名参与者中 63 种营养素和影像学证实的脂肪变性的重要特征。膳食中锰摄入量的增加与核磁共振成像确诊的脂肪变性的可能性降低有关。随后,我们对 20 多万名英国生物库参与者进行了一项队列研究,以探讨锰摄入量与肝脏或心脏代谢结果之间的关系,结果发现,锰摄入量越高,ICD-10 编码的脂肪变性风险越低(OR = .889 [.838-.943], p 结论:我们的研究提供了证据,表明锰摄入量越高,ICD-10 编码的脂肪变性风险越低:我们的研究提供的证据表明,在一个大型人群样本中,较高的锰摄入量可能与较低的脂肪变性几率有关。这些发现强调了锰在预防脂肪变性中的潜在作用,但还需要进一步的研究来证实这些发现并阐明其潜在机制。
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来源期刊
Liver International
Liver International 医学-胃肠肝病学
CiteScore
13.90
自引率
4.50%
发文量
348
审稿时长
2 months
期刊介绍: Liver International promotes all aspects of the science of hepatology from basic research to applied clinical studies. Providing an international forum for the publication of high-quality original research in hepatology, it is an essential resource for everyone working on normal and abnormal structure and function in the liver and its constituent cells, including clinicians and basic scientists involved in the multi-disciplinary field of hepatology. The journal welcomes articles from all fields of hepatology, which may be published as original articles, brief definitive reports, reviews, mini-reviews, images in hepatology and letters to the Editor.
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