Frontiers in Cellular and Infection Microbiology ( IF 4.6 ) Pub Date : 2020-06-08 , DOI: 10.3389/fcimb.2020.00349 Stefano Bibbò 1 , Marcello Abbondio 2 , Rosangela Sau 2 , Alessandro Tanca 2 , Giovanna Pira 2 , Alessandra Errigo 2 , Roberto Manetti 1 , Giovanni Mario Pes 1 , Maria Pina Dore 1, 3 , Sergio Uzzau 2
To date, reliable tests enabling the identification of celiac disease (CD) patients at a greater risk of developing poly-autoimmune diseases are not yet available. We therefore aimed to identify non-invasive microbial biomarkers, useful to implement diagnosis of poly-autoimmunity. Twenty CD patients with poly-autoimmunity (cases) and 30 matched subjects affected exclusively by CD (controls) were selected. All patients followed a varied gluten-free diet for at least 1 year. Fecal microbiota composition was characterized using bacterial 16S ribosomal RNA gene sequencing. Significant differences in gut microbiota composition between CD patients with and without poly-autoimmune disease were found using the edgeR algorithm. Spearman correlations between gut microbiota and clinical, demographic, and anthropometric data were also examined. A significant reduction of
中文翻译:
多发性自身免疫性腹腔疾病患者的粪便微生物群特征。
迄今为止,尚无法提供可靠的测试方法来鉴定患有更大的自身免疫疾病风险的腹腔疾病(CD)患者。因此,我们旨在鉴定对实施多自身免疫性诊断有用的非侵入性微生物生物标记。选择了20名具有多自身免疫的CD患者(病例)和30名完全受CD影响的匹配受试者(对照)。所有患者均接受多种无麸质饮食至少一年。使用细菌16S核糖体RNA基因测序来表征粪便微生物群组成。使用edgeR算法发现有和没有多自身免疫性疾病的CD患者之间肠道菌群组成存在显着差异。还检查了肠道菌群与临床,人口统计学和人体测量学数据之间的Spearman相关性。