Exploring the effects of the dietary fiber compound mediated by a longevity dietary pattern on antioxidation, characteristic bacterial genera, and metabolites based on fecal metabolomics

IF 3.9 2区医学 Q2 NUTRITION & DIETETICS Nutrition & Metabolism Pub Date : 2024-04-04 DOI:10.1186/s12986-024-00787-y

Fengcui Shi, Qingli Liu, Dayong Yue, Yanan Zhang, Xueying Wei, Ying Wang, WenJian Ma

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Abstract

Age-related dysbiosis of the microbiota has been linked to various negative health outcomes. This study aims to investigate the effects of a newly discovered dietary fiber compound (DFC) on aging, intestinal microbiota, and related metabolic processes. The DFC was identified through in vitro fermentation screening experiments, and its dosage and composition were determined based on a longevity dietary pattern. Aged SPF C57BL/6 J mice (65 weeks old) and young mice (8 weeks old) were divided into three groups: a subgroup without dietary fiber (NDF), a low DFC dose subgroup (LDF, 10% DFC), and a high DFC dose subgroup (HDF, 20% DFC). The total antioxidant capacity (T-AOC), total superoxide dismutase (T-SOD) activity, malondialdehyde (MDA) content, and glutathione peroxidase (GSH-Px) activity in liver and serum samples of the mice were measured according to the manufacturer’s protocol. The expression levels of characteristic bacterial genera and fecal metabolite concentrations in mice were determined using quantitative real-time PCR (qPCR) and nuclear magnetic resonance hydrogen spectroscopy (1H NMR). Metabolomics analysis was further conducted to identify biological functions and potential pathways related to aging. After an 8-weeks dietary intervention, DFC supplementation significantly attenuated age-related weight loss, organ degeneration, and oxidative stress. And promoted the growth of Lactobacillus and Bifidobacterium and inhibited the growth of Escherichia coli (E. coli) and Bacteroides (p < 0.05) in the intestinal tracts of aged mice. Metabolomic analysis identified glycolipid and amino acid metabolic pathway biomarkers associated with aging that were differentially regulated by DFC consumption. Correlation analysis between the identified microbial flora and the biomarkers revealed potential mechanistic links between altered microbial composition and metabolic activity with aging markers. In conclusion, this study revealed an important mechanism by which DFC consumption impacts healthspan and longevity, shedding light on optimizing dietary fiber or developing fiber-based interventions to improve human health.

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基于粪便代谢组学探讨长寿膳食模式介导的膳食纤维化合物对抗氧化、特征菌属和代谢物的影响

与年龄相关的微生物群失调与各种不良健康后果有关。本研究旨在探讨一种新发现的膳食纤维化合物（DFC）对衰老、肠道微生物群和相关代谢过程的影响。通过体外发酵筛选实验确定了 DFC，并根据长寿饮食模式确定了其用量和成分。老龄 SPF C57BL/6 J 小鼠（65 周龄）和幼年小鼠（8 周龄）被分为三组：无膳食纤维（NDF）亚组、低 DFC 剂量亚组（LDF，10% DFC）和高 DFC 剂量亚组（HDF，20% DFC）。小鼠肝脏和血清样本中的总抗氧化能力（T-AOC）、总超氧化物歧化酶（T-SOD）活性、丙二醛（MDA）含量和谷胱甘肽过氧化物酶（GSH-Px）活性均按照生产商的方案进行了测定。使用实时定量 PCR（qPCR）和核磁共振氢谱（1H NMR）测定小鼠体内特征菌属的表达水平和粪便代谢物浓度。代谢组学分析进一步确定了与衰老相关的生物功能和潜在途径。经过 8 周的饮食干预后，补充 DFC 能显著减轻与年龄相关的体重减轻、器官退化和氧化应激。此外，DFC还能促进乳酸杆菌和双歧杆菌的生长，抑制大肠埃希氏菌（E. coli）和嗜酸乳杆菌（Bacteroides）的生长（p < 0.05）。代谢组分析确定了与衰老有关的糖脂和氨基酸代谢途径生物标记物，这些标记物受到 DFC 消费的不同调节。已确定的微生物菌群与生物标志物之间的相关性分析揭示了微生物组成和代谢活动的改变与衰老标志物之间的潜在机理联系。总之，这项研究揭示了食用 DFC 影响健康长寿的重要机制，为优化膳食纤维或开发基于纤维的干预措施以改善人类健康提供了启示。

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来源期刊

Nutrition & Metabolism 医学-营养学

CiteScore

8.40

自引率

0.00%

发文量

审稿时长

4-8 weeks

期刊介绍： Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.