The interaction between ultra-processed foods and genetic risk score on body adiposity index (BAI), appendicular skeletal muscle mass index (ASM), and lipid profile in overweight and obese women

Fatemeh Gholami , Azadeh Lesani , Neda Soveid , Niloufar Rasaei , Mahsa Samadi , Niki Bahrampour , Gholamali Javdan , Khadijeh Mirzaei
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Abstract

Background & aims

Ultra-processed foods (UPF) are formulations of ingredients, resulting from a series of industrial processes. Excess intake of UPF is associated with an increased risk of obesity and chronic disease. The present study investigates the interaction between the consumption of UPF and genetic risk score with body composition, body adiposity index (BAI), and appendicular skeletal muscle mass (ASM) in overweight and obese women.

Method

The study is cross-sectional with 376 overweight and obese women aged 18–65 years. The food consumption was obtained with 147-item food frequency (FFQ), and food items were grouped according to the level of processing as per the NOVA classification. Three single nucleotide polymorphisms (SNPs), including Caveolin_1 (Cav_1), Melanocortin4 receptor (MC4R), and cryptochrome circadian regulator 1 (CRY1), were used to calculate GRS. The individual risk allele for each SNP was calculated using the incremental genetic model. Each SNP was recoded as 0, 1, or 2 based on the number of risk alleles associated with a higher body mass index (BMI). Subsequently, the unweighted GRS was computed by summing the number of risk alleles across the three SNPs. The GRS scale spans from 0 to 6, with each point representing a risk allele.Anthropometric measurements and some blood parameters were measured by standard protocols.

Results

After controlling for confounders such as age, energy intake, and BMI a significant interaction was found for appendicular skeletal muscle mass (β = −1.65, P = 0.04) and appendicular skeletal muscle mass index (β = −0.38, P = 0.07) on the NOVA classification system and GRS.

Conclusions

The findings of this study showed a significant interaction between GRS and the NOVA classification system on some body composition, including appendicular skeletal muscle mass. A higher intake of ultra-processed foods may be associated with lower appendicular skeletal muscle mass in people with high obesity-GRS.

超重和肥胖妇女的超重加工食品与遗传风险评分之间在身体脂肪指数(BAI)、骨骼肌质量指数(ASM)和血脂概况方面的相互作用。
背景和目的超加工食品(UPF)是经过一系列工业加工过程制成的配料。过量摄入 UPF 与肥胖和慢性疾病风险增加有关。本研究调查了超重和肥胖女性的 UPF 消费量和遗传风险评分与身体组成、身体脂肪指数(BAI)和骨骼肌质量(ASM)之间的相互作用。食物消耗量通过 147 项食物频率(FFQ)获得,并根据 NOVA 分类法的加工程度对食物进行分组。三个单核苷酸多态性(SNPs),包括Caveolin_1(Cav_1)、黑色皮质素4受体(MC4R)和隐色素昼夜节律调节器1(CRY1),被用来计算GRS。使用增量遗传模型计算每个 SNP 的个体风险等位基因。根据与较高体重指数(BMI)相关的风险等位基因的数量,将每个 SNP 重新编码为 0、1 或 2。随后,将三个 SNP 的风险等位基因数量相加,计算出非加权 GRS。结果在控制了年龄、能量摄入和体重指数等混杂因素后,发现骨骼肌质量与骨骼肌质量之间存在显著的交互作用(β = -1.结论本研究结果表明,GRS 和 NOVA 分类系统对某些身体成分(包括骨骼肌质量)具有显著的交互作用。超加工食品摄入量越高,肥胖-GRS 偏高人群的阑尾骨骼肌质量越低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Aspects of molecular medicine
Aspects of molecular medicine Molecular Biology, Molecular Medicine
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