Academic Journal

Effect of dietary protein content shift on aging in elderly rats by comprehensive quantitative score and metabolomics analysis

التفاصيل البيبلوغرافية
العنوان: Effect of dietary protein content shift on aging in elderly rats by comprehensive quantitative score and metabolomics analysis
المؤلفون: Wenxuan Zheng, Ruiding Li, Yang Zhou, Fengcui Shi, Yao Song, Yanting Liao, Fan Zhou, Xiaohua Zheng, Jingwen Lv, Quanyang Li
المصدر: Frontiers in Nutrition, Vol 9 (2022)
بيانات النشر: Frontiers Media S.A., 2022.
سنة النشر: 2022
المجموعة: LCC:Nutrition. Foods and food supply
مصطلحات موضوعية: comprehensive quantitative score, metabolomics, aging, dietary patterns, nuclear magnetic resonance, Nutrition. Foods and food supply, TX341-641
الوصف: In the protein nutrition strategy of middle-aged and elderly people, some believe that low protein is good for health, while others believe high protein is good for health. Facing the contradictory situation, the following hypothesis is proposed. There is a process of change from lower to higher ratio of protein nutritional requirements that are good for health in the human body after about 50 years of age, and the age at which the switch occurs is around 65 years of age. Hence, in this study, 50, 25-month-old male rats were randomly divided into five groups: Control (basal diet), LP (low-protein diet with a 30% decrease in protein content compared to the basal diet), HP (high-protein diet with a 30% increase in protein content compared to the basal diet), Model 1 (switched from LP to HP feed at week 4), and Model 2 (switched from LP to HP feed at week 7). After a total of 10 weeks intervention, the liver and serum samples were examined for aging-related indicators, and a newly comprehensive quantitative score was generated using principal component analysis (PCA). The effects of the five protein nutritional modalities were quantified in descending order: Model 1 > HP > LP > Control > Model 2. Furthermore, the differential metabolites in serum and feces were determined by orthogonal partial least squares discriminant analysis, and 15 differential metabolites, significantly associated with protein intake, were identified by Spearman’s correlation analysis (p < 0.05). Among the fecal metabolites, 10 were positively correlated and 3 were negatively correlated. In the serum, tyrosine and lactate levels were positively correlated, and acetate levels were negatively correlated. MetaboAnalyst analysis identified that the metabolic pathways influenced by protein intake were mainly related to amino acid and carbohydrate metabolism. The results of metabolomic analysis elucidate the mechanisms underlying the preceding effects to some degree. These efforts not only contribute to a unified protein nutrition strategy but also positively impact the building of a wiser approach to protein nutrition, thereby helping middle-aged and older populations achieve healthy aging.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2296-861X
Relation: https://www.frontiersin.org/articles/10.3389/fnut.2022.1051964/full; https://doaj.org/toc/2296-861X
DOI: 10.3389/fnut.2022.1051964
URL الوصول: https://doaj.org/article/005ff87394344a22b41209796c1fafd5
رقم الانضمام: edsdoj.005ff87394344a22b41209796c1fafd5
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2296861X
DOI:10.3389/fnut.2022.1051964