Disease phenotype and genotype are associated with shifts in intestinal-associated microbiota in inflammatory bowel diseases.
Disease phenotype and genotype are associated with shifts in intestinal-associated microbiota in inflammatory bowel diseases.
复制标题
DOI：
10.1002/ibd.21339
复制
发表时间：
2011-01
影响因子：
4.9
通讯作者：
Li, Ellen
中科院分区：
文献类型：
--
作者：
Frank, Daniel N.;Robertson, Charles E.;Hamm, Christina M.;Kpadeh, Zegbeh;Zhang, Tianyi;Chen, Hongyan;Zhu, Wei;Sartor, R. Balfour;Boedeker, Edgar C.;Harpaz, Noam;Pace, Norman R.;Li, Ellen
异常宿主-微生物相互作用涉及炎性肠病的发病机制。先前对肠组织的16 S rRNA序列分析表明，克罗恩病（CD）和溃疡性结肠炎（UC）样本的一个子集表现出改变的肠相关微生物组成，其特征在于拟杆菌和厚壁菌门（特别是梭菌分类群）的耗竭。我们推测NOD 2和ATG 16 L1风险等位基因可能与这些改变有关。为了验证这一假设，我们从35名CD患者、35名UC患者和54名对照患者中收集了178份样本，对三种主要的NOD 2风险等位基因（Leu 1007 fs、R702 W和G908 R）和ATG 16 L1 T300 A风险等位基因进行了基因分型，这些样本已经过16 S rRNA序列分析。我们的统计模型包含以下自变量：1。疾病表型（CD、UC、非IBD对照）; 2.）NOD 2复合基因型（NOD 2 R =至少一个风险等位基因，NOD 2NR =无风险等位基因）; 3.）ATG 16 L1 T300 A基因型（ATG 16 L1 R/R、ATG 16 L1 R/NR、ATG 16 L1 NR/NR）; 4.）手术时的患者年龄和所有一级相互作用。因变量是通过将RDP 2.1分类器应用于先前报道的16 S rRNA序列数据而分类的细菌分类群的相对频率。疾病表型，NOD 2复合基因型和ATG 16 L1基因型与微生物组成的变化显着相关的非参数MANCOVA。粪杆菌属和埃希氏菌属相对频率的变化与非参数ANCOVA的疾病表型显著相关。这些结果支持疾病表型和基因型与肠道相关微生物群的组成变化相关的概念。
Abnormal host-microbe interactions are implicated in the pathogenesis of inflammatory bowel diseases. Previous 16S rRNA sequence analysis of intestinal tissues demonstrated that a subset of Crohn’s disease (CD) and ulcerative colitis (UC) samples exhibited altered intestinal associated microbial compositions characterized by depletion of Bacteroidetes and Firmicutes (particularly Clostridium taxa). We hypothesize that NOD2 and ATG16L1 risk alleles may be associated with these alterations. To test this hypothesis, we genotyped 178 specimens collected from 35 CD, 35 UC and 54 control patients for the three major NOD2 risk alleles (Leu 1007fs, R702W and G908R) and the ATG16L1T300A risk allele, that had undergone previous 16S rRNA sequence analysis. Our statistical models incorporated the following independent variables:1.) disease phenotype (CD, UC, Non-IBD Control); 2.) NOD2 composite genotype (NOD2R = at least one risk allele, NOD2NR = no risk alleles); 3.) ATG16L1T300A genotype (ATG16L1R/R, ATG16L1R/NR, ATG16L1NR/NR); 4.) patient age at time of surgery and all first order interactions. The dependent variable(s) were the relative frequencies of bacterial taxa classified by applying the RDP 2.1 classifier to previously reported 16S rRNA sequence data. Disease phenotype, NOD2 composite genotype and ATG16L1 genotype were significantly associated with shifts in microbial compositions by nonparametric MANCOVA. Shifts in the relative frequencies of Faecalibacterium and Escherichia taxa were significantly associated with disease phenotype by nonparametric ANCOVA. These results support the concept that disease phenotype and genotype are associated with compositional changes in intestinal associated microbiota.
登录
查看更多内容
影响因子：
14.9
作者：
Ludwig, W;Strunk, O;Schleifer, KH
通讯作者：
Schleifer, KH
影响因子：
24.5
作者：
Satsangi, J.;Silverberg, M. S.;Colombel, J-F
通讯作者：
Colombel, J-F
DOI：
10.1099/00207713-44-4-812
发表时间：
1994-10-01
期刊：
INTERNATIONAL JOURNAL OF SYSTEMATIC BACTERIOLOGY
影响因子：
--
作者：
COLLINS, MD;LAWSON, PA;FARROW, JAE
通讯作者：
FARROW, JAE
影响因子：
14.9
作者：
Cole JR;Wang Q;Cardenas E;Fish J;Chai B;Farris RJ;Kulam-Syed-Mohideen AS;McGarrell DM;Marsh T;Garrity GM;Tiedje JM
通讯作者：
Tiedje JM
DOI：
10.1073/pnas.0804812105
发表时间：
2008-10-28
影响因子：
11.1
作者：
Sokol, Harry;Pigneur, Benedicte;Langella, Philippe
通讯作者：
Langella, Philippe