Institute of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany.
Microbiome Insights Inc, Vancouver, Canada.
Am J Clin Nutr. 2022 Oct 6;116(4):928-942. doi: 10.1093/ajcn/nqac175.
The Mediterranean diet is associated with the prevention of diabetes, cardiovascular disease, and cancer, all of which are linked to intestinal barrier impairment.
Here, we hypothesize that the Mediterranean diet, possibly via the induction of short-chain fatty acids (SCFAs), improves intestinal barrier integrity. Furthermore, we aim to establish novel personalized nutrition advice based on machine learning algorithms.
We studied 260 women with intestinal barrier impairment. The women were allocated to follow either a Mediterranean diet or a control diet for 3 mo. Intestinal permeability was assessed by measuring lipopolysaccharide binding protein (LBP) in plasma and zonulin in feces. SCFA concentrations were analyzed in feces. Bi- and multivariate analyses and machine learning algorithms (random forest classification) were conducted.
Particularly in the intervention group, adherence to the Mediterranean diet increased, whereas plasma LBP and fecal zonulin concentrations decreased (all q < 0.001 for the intervention group, all q < 0.1 for control group). In the intervention group, fecal SCFA concentrations increased (propionate + 19%; butyrate + 44%; both q < 0.001). Multivariate analyses showed that adherence to the Mediterranean diet was associated with SCFA concentrations (all q < 0.001) and inversely associated with LBP and zonulin concentrations (all q < 0.02). Mediation analyses identified propionate and butyrate as the key mechanistic link between diet and intestinal permeability integrity. Accordingly, using baseline SCFA data, we could predict the effect of the Mediterranean diet on intestinal permeability using a machine learning algorithm (receiver operating characteristic AUC: 0.78-0.96).
Our data suggest that SCFAs are key mediators for the relation between diet and gut health. Assessment of SCFAs may form a basis for personalized nutrition in future clinical care. These results need to be verified in larger studies powered for this purpose, comprising different study populations. The trial was registered at clinicaltrials.gov as NCT02087592 and NCT02516540.
地中海饮食与糖尿病、心血管疾病和癌症的预防有关,而这些疾病都与肠道屏障损伤有关。
在这里,我们假设地中海饮食可能通过诱导短链脂肪酸(SCFAs)来改善肠道屏障的完整性。此外,我们旨在基于机器学习算法建立新的个性化营养建议。
我们研究了 260 名肠道屏障受损的女性。这些女性被分配遵循地中海饮食或对照饮食 3 个月。通过测量血浆中脂多糖结合蛋白(LBP)和粪便中肠联蛋白的浓度来评估肠道通透性。分析粪便中的 SCFA 浓度。进行了双变量和多变量分析以及机器学习算法(随机森林分类)。
特别是在干预组中,遵循地中海饮食的依从性增加,而血浆 LBP 和粪便肠联蛋白浓度降低(干预组所有 q 值均<0.001,对照组所有 q 值均<0.1)。在干预组中,粪便 SCFA 浓度增加(丙酸+19%;丁酸+44%;均 q 值<0.001)。多变量分析表明,遵循地中海饮食与 SCFA 浓度相关(均 q 值<0.001),与 LBP 和肠联蛋白浓度呈负相关(均 q 值<0.02)。中介分析确定丙酸和丁酸是饮食与肠道通透性完整性之间的关键机制联系。因此,使用基线 SCFA 数据,我们可以使用机器学习算法预测地中海饮食对肠道通透性的影响(接受者操作特征 AUC:0.78-0.96)。
我们的数据表明,SCFAs 是饮食与肠道健康之间关系的关键介质。评估 SCFAs 可能成为未来临床护理中个性化营养的基础。这些结果需要在为此目的设计的更大规模研究中进行验证,包括不同的研究人群。该试验在 clinicaltrials.gov 上注册为 NCT02087592 和 NCT02516540。