Department of Soil, Plant and Food Science, University of Bari Aldo Moro, 70126 Bari, Italy.
Laboratory of Nutritional Biochemistry, National Institute of Gastroenterology IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.
Nutrients. 2024 Oct 18;16(20):3543. doi: 10.3390/nu16203543.
BACKGROUND/OBJECTIVES: Metabolic dysfunction-associated fatty liver disease (MAFLD) is currently the most common cause of chronic liver disease. Systemic inflammatory status and peripheral metabolic symptoms in the clinical picture have an impact on gut commensal bacteria.
Our designed clinical trial was based on a cohort of patients with MAFLD whose diet included the daily consumption of 400 g of "Navelina" oranges for 28 days, compared with a control group of patients with the same pathologic conditions whose diet did not include the consumption of oranges and other foods containing similar nutrients/micronutrients. We used 16S metataxonomics and GC/MS analyses to identify taxa and urine/fecal VOCs, respectively.
A set of micronutrients from the diet were inspected, and some specific fatty acids were identified as the main contributors in terms of cluster sample separation. Metataxonomics and metabolomics profiles were obtained, and a stringent statistical approach allowed for the identification of significant taxa/VOCs, which emerged from pairwise group comparisons in both fecal and urine samples.
In conclusion, a set of taxa/VOCs can be directly referred to as a marker of dysbiosis status and other comorbidities that, together, make up the pathologic burden associated with MAFLD. The investigated variables can be a target of therapeutic strategies.
背景/目的：代谢相关脂肪性肝病（MAFLD）是目前最常见的慢性肝病病因。临床表型中的全身炎症状态和外周代谢症状会对肠道共生细菌产生影响。
我们设计的临床试验基于 MAFLD 患者队列，这些患者的饮食包括每天食用 400 克“Navelina”橙子，持续 28 天，与饮食不包括橙子和其他含有类似营养/微量营养素的食物的相同病理条件的对照组患者进行比较。我们使用 16S 宏基因组学和 GC/MS 分析分别鉴定分类群和尿液/粪便 VOCs。
检查了一组来自饮食的微量营养素，并且一些特定的脂肪酸被确定为聚类样本分离的主要贡献者。获得了宏基因组学和代谢组学图谱，并且严格的统计方法允许鉴定粪便和尿液样本中来自两两组比较的显著分类群/VOCs。
总之，可以将一组分类群/VOCs 直接称为肠道菌群失调状态和其他合并症的标志物，这些标志物共同构成了与 MAFLD 相关的病理负担。所研究的变量可以成为治疗策略的目标。
