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非肥胖患者伴或不伴脂肪变性的食物网络分析。

Food Network Analysis in Non-Obese Patients with or without Steatosis.

机构信息

National Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.

出版信息

Nutrients. 2023 Jun 11;15(12):2713. doi: 10.3390/nu15122713.

Abstract

BACKGROUND

Steatosis is the most common liver disease worldwide and the leading cause of liver-associated morbidity and mortality. The aim of this study was to explore the differences in blood parameters and dietary habits in non-obese patients with and without steatosis.

METHODS

The present study included 987 participants with BMI < 30, assessed in the fourth recall of the MICOL study. Patients were divided by steatosis grade, and a validated food frequency questionnaire (FFQ) with 28 food groups was administered.

RESULTS

The prevalence of non-obese participants with steatosis was 42.86%. Overall, the results indicated many statistically significant blood parameters and dietary habits. Analysis of dietary habits revealed that non-obese people with or without steatosis had similar dietary habits, although higher daily amounts of red meat, processed meat, ready meals, and alcohol were recorded in participants with liver disease ( < 0.05).

CONCLUSIONS

Many differences were found in non-obese people with and without steatosis, but in light of a network analysis, the two groups demonstrated similar dietary habits, proving that pathophysiological, genetic, and hormonal patterns are probably the basis of their liver status, regardless of weight. Future genetic analyses will be performed to analyze the expression of genes involved in the development of steatosis in our cohort.

摘要

背景

脂肪变性是世界范围内最常见的肝脏疾病,也是与肝脏相关发病率和死亡率的主要原因。本研究旨在探讨非肥胖患者中脂肪变性与非脂肪变性患者之间在血液参数和饮食习惯方面的差异。

方法

本研究纳入了 987 名 BMI<30 的 MICOL 研究第四次随访参与者。根据脂肪变性程度将患者分组,并采用经过验证的包含 28 种食物组的食物频率问卷(FFQ)进行评估。

结果

非肥胖伴脂肪变性患者的患病率为 42.86%。总体而言,结果表明血液参数和饮食习惯存在许多统计学差异。饮食习惯分析表明,无论是否患有肝脏疾病,非肥胖者的饮食习惯相似,但患有肝脏疾病的参与者(<0.05)记录的每日红肉类、加工肉类、即食食品和酒精摄入量更高。

结论

非肥胖伴脂肪变性和非脂肪变性患者之间存在许多差异,但通过网络分析,两组表现出相似的饮食习惯,这表明病理生理、遗传和激素模式可能是其肝脏状况的基础,而与体重无关。未来将进行遗传分析,以分析我们队列中参与脂肪变性发生的基因的表达。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/887d/10301509/9b4ee1b59eaa/nutrients-15-02713-g001.jpg

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