Alijani Fahimeh, Ahmadi Ali, Mohammadpour Nakisa, Jazayeri Shima, Abolghasemi Jamileh, Shahinfar Hossein, Khorasanian Atie Sadat, Rimaz Shahnaz
Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Modeling in Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran.
BMC Nutr. 2025 May 1;11(1):87. doi: 10.1186/s40795-025-01073-7.
Obesity is a threat to public health. Dietary protein and certain amino acids (AAs) have been associated with obesity; however, the association of AAs patterns with excess body weight has not been considered, yet. We aimed to examine the relationship between patterns of AA intake and obesity.
This cross-sectional study was conducted on 3197 individuals aged 35 to 70 years. Sociodemographic, medical, physical activity, and anthropometric data were collected. Energy and AAs intake were obtained by food frequency questionnaire (FFQ). Factor analysis was utilized to determine the AA patterns. Using multiple logistic regression analysis, the odds ratio (OR) of obesity was calculated among individuals categorized into tertiles of the AAs patterns.
In this study, three AA patterns were identified. The aromatic pattern consists of phenylalanine, tryptophan, proline, glutamic acid, cysteine, serine, and leucine. Five essential AAs plus tyrosine, aspartic acid, arginine, and glycine were the components of the mixed pattern, and finally, the alanine pattern with high loadings for alanine and histidine was the third one. After adjusting for confounders, individuals in the highest tertile (T3) of the aromatic pattern had lower odds of central obesity compared to those in the lowest tertile (T1) (OR = 0.72, 95% CI: 0.58-0.89; p = 0.003), whereas this association was not observed in the alanine pattern. On the contrary, general obesity showed a positive association in T3 of the alanine pattern in comparison with T1 (OR = 1.65, 95% CI: 1.02-2.67; p = 0.039). Mixed pattern was not associated with any of the obesity types.
The aromatic pattern intake may have an inverse association with central obesity, and following the alanine pattern my contribute to higher odds of general obesity. However, the elaborate relationship between AAs and adiposity warrants further investigation.
肥胖是对公众健康的一种威胁。膳食蛋白质和某些氨基酸(AAs)与肥胖有关;然而,氨基酸模式与超重之间的关联尚未得到考虑。我们旨在研究氨基酸摄入模式与肥胖之间的关系。
这项横断面研究针对3197名年龄在35至70岁之间的个体进行。收集了社会人口统计学、医学、身体活动和人体测量数据。通过食物频率问卷(FFQ)获取能量和氨基酸摄入量。利用因子分析来确定氨基酸模式。使用多元逻辑回归分析,计算被分类到氨基酸模式三分位数中的个体肥胖的优势比(OR)。
在本研究中,确定了三种氨基酸模式。芳香族模式由苯丙氨酸、色氨酸、脯氨酸、谷氨酸、半胱氨酸、丝氨酸和亮氨酸组成。五种必需氨基酸加上酪氨酸、天冬氨酸、精氨酸和甘氨酸是混合模式的组成成分,最后,以丙氨酸和组氨酸高负荷为特征的丙氨酸模式是第三种。在调整混杂因素后,芳香族模式最高三分位数(T3)的个体与最低三分位数(T1)的个体相比,中心性肥胖的优势比更低(OR = 0.72,95% CI:0.58 - 0.89;p = 0.003),而在丙氨酸模式中未观察到这种关联。相反,与T1相比,一般肥胖在丙氨酸模式的T3中显示出正相关(OR = 1.65,95% CI:1.02 - 2.67;p = 0.039)。混合模式与任何一种肥胖类型均无关联。
芳香族模式的摄入可能与中心性肥胖呈负相关,而遵循丙氨酸模式可能导致一般肥胖的几率更高。然而,氨基酸与肥胖之间的具体关系值得进一步研究。