Dysbiosis in Inflammatory Bowel Disease

描述（由申请人提供）：炎症性肠病（IBDs），即溃疡性结肠炎（DC）和克罗恩病（CD），是一种慢性、终身、复发性疾病，影响着近100万美国人。尽管有许多线索表明IBD中可能存在生态失调，但IBD患者微生物群的具体变化在很大程度上是未知的。扩增子长度异质性（Amplicon length heterogeneity， ALH）是一种成熟的基于PCR的技术，可作为一种筛选工具，用于识别IBD患者细菌菌群的变化。因此，我们假设IBD患者的回肠结肠菌群与正常菌群相比具有改变的微生物组成。我们已经收集了初步数据，显示对照组和IBD之间以及IBD患者内部的统计差异。因此，为了验证上述假设，我们提出以下两个相互关联的科学目标：利用ALH鉴定与IBD相关的细菌指纹图谱。将在总共160名IBD患者和健康对照中确定ALH模式，并将使用多样性指数、多变量减少分析和聚类分析进行分析。与IBD相关的ALH模式将使用直方图、结合自定义PERL脚本的生态软件以及有监督和无监督的自动模式识别系统来确定。目标2。利用分子克隆和测序技术确定疑似IBD相关ALH指纹图谱的细菌含量。目标样本的克隆和测序将通过使用多种生物信息学工具与细菌身份联系起来。的意义。这一建议涉及到首次使用一个复杂的和高度可重复的分子生物学工具，ALH，在胃肠道微生物群的研究。人们越来越认识到微生物群在健康和疾病中的重要性，包括IBD。利用环境微生物学（如ALH）的强大技术对人体微生物群进行表征的研究可以在了解胃肠道疾病方面取得重大进展。ALH可以在医学上首次实现对微菌群变化的实时调查，并可能提供将IBD与特定微生物模式联系起来的第一个证据。

DESCRIPTION (provided by applicant): Inflammatory Bowel Diseases (IBDs), namely ulcerative colitis (DC) and Crohn's disease (CD), are chronic, lifelong, relapsing illnesses, affecting close to 1 million Americans. Despite the many clues that a dysbiosis may exist in IBD, the specific changes in the microflora of IBD patients are largely unknown. Amplicon length heterogeneity (ALH) is a sophisticated and well established PCR based technology that can be used as a screening tool to identify changes in the Bacterial microflora of IBD patients. We therefore have hypothesized that the ileocolonic microflora in IBD has an altered microbial composition compared to normal microflora. We have gathered preliminary data that shows statistical differences between controls and IBD as well as within IBD patients. Therefore, to test the above hypothesis, we are proposing the following 2 inter-related scientific aims: AIM 1. Identify bacterial fingerprint patterns associated with IBD using ALH. ALH patterns will be determined in a total of 160 IBD patients and health controls and will be analyzed using diversity indeces, multivariate reduction analysis and cluster analysis. ALH patterns associated with IBD will be determined using histograms, ecological software in conjunction with custom PERL scripts as well as supervised and unsupervised automated pattern recognition systems. AIM 2.Determine the bacterial contents of putatively IBD associated ALH fingerprint patterns using molecular cloning and sequencing. Cloning and sequencing of targeted samples will be linked to bacterial identities by employing multiple bioinformatics tools. Significance. This proposal involves the first time use of a sophisticated and highly reproducible molecular biology tool, ALH, in the study of microflora in the Gl tract. There is a growing recognition of the importance of microflora in health and disease, including IBD. Studies that characterized microflora in human using powerful techniques from environmental microbiology such as ALH can bring about significant advances in the understanding of Gl tract illnesses. ALH may enable a real-time survey of microfloral changes for the first time in medicine and may provide the first evidence linking IBD with specific microbial patterns.