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基于多数据库的儿童肠道微生物群与1型糖尿病相互作用的定量分析与可视化

Quantitative Analysis and Visualization of the Interaction Between Intestinal Microbiota and Type 1 Diabetes in Children Based on Multi-Databases.

作者信息

Zhao Mingyi, Xu Shaokang, Cavagnaro María José, Zhang Wei, Shi Jian

机构信息

Department of Pediatric, The Third Xiangya Hospital, Central South University, Changsha, China.

Xiangya School of Medicine, Central South University, Changsha, China.

出版信息

Front Pediatr. 2021 Dec 15;9:752250. doi: 10.3389/fped.2021.752250. eCollection 2021.

Abstract

As an important autoimmune disease, type 1 diabetes (T1D) is often diagnosed in children, but due to the complexity of the etiology of diabetes and many other factors, the disease pathogenesis of diabetes is still unclear. The intestinal microbiota has been proved to have close relationships with T1D in recent years, which is one of the most important molecular bases of pathogenesis and prognosis factors for T1D. Using the multi-omics and multicenter sample analysis method, a number of intestinal microbiota in T1D have been discovered and explained, which has provided comprehensive and rich information. However, how to find more useful information and get an intuitive understanding that people need conveniently in the huge data sea has become the focus of attention. Therefore, quantitative analysis and visualization of the interaction between intestinal microbiota and T1D in children are urgently needed. We retrieved the detailed original data from the National Center for Biotechnology Information, GMREPO, and gutMEGA databases and other authoritative multiple projects with related research; the ranking of intestinal microbiota abundance from healthy people, overall T1D patients, and T1D in children (0-18 years old) were detailed analyzed, classified, and visualized. A total of 515 bacterial species and 161 related genera were fully analyzed. Also, was led by 21.25% average abundance, followed by of 10.39% in all-cross T1D patients. For children with T1D, has high abundance in all age periods, whereas the abundance of each intestinal microbiota was more uniform in female samples, with the ranking from high to low as 9.56%, 9.53%, 8.15%, and 7.53%, whereas in male samples, was accounted for the largest by 22.72%. The interaction between intestinal microbiota and comparison between healthy people and children with T1D was also detailed analyzed. This study provides a new method and comprehensive perspectives for the evaluation of the interaction between intestinal microbiota and T1D in children. A set of useful information of intestinal microbiota with its internal interaction and connections has been presented, which could be a compact, immediate, and practical scientific reference for further molecular biological and clinical translational research of T1D in children.

摘要

作为一种重要的自身免疫性疾病,1型糖尿病(T1D)常在儿童期被诊断出来,但由于糖尿病病因复杂以及许多其他因素,糖尿病的发病机制仍不清楚。近年来,肠道微生物群已被证明与T1D密切相关,这是T1D发病机制和预后因素的最重要分子基础之一。采用多组学和多中心样本分析方法,已发现并解释了T1D中的一些肠道微生物群,这提供了全面而丰富的信息。然而,如何在海量数据中找到更多有用信息并方便地获得人们所需的直观认识已成为关注焦点。因此,迫切需要对儿童肠道微生物群与T1D之间的相互作用进行定量分析和可视化。我们从美国国立生物技术信息中心、GMREPO和gutMEGA数据库以及其他相关研究的权威多个项目中检索了详细的原始数据;对健康人、总体T1D患者以及儿童(0至18岁)T1D患者的肠道微生物群丰度排名进行了详细分析、分类和可视化。总共对515种细菌物种和161个相关属进行了全面分析。此外,在所有交叉T1D患者中,平均丰度以21.25%居首,其次是10.39%的[具体菌名未给出]。对于T1D儿童,[具体菌名未给出]在所有年龄段都具有高丰度,而在女性样本中,各肠道微生物群的丰度更为均匀,从高到低依次为9.56%的[具体菌名未给出]、9.53%的[具体菌名未给出]、8.15%的[具体菌名未给出]和7.53%的[具体菌名未给出],而在男性样本中,[具体菌名未给出]占比最大,为22.72%。还详细分析了肠道微生物群之间的相互作用以及健康人与T1D儿童之间的比较。本研究为评估儿童肠道微生物群与T1D之间的相互作用提供了一种新方法和全面视角。呈现了一组关于肠道微生物群及其内部相互作用和联系的有用信息,这可为儿童T1D的进一步分子生物学和临床转化研究提供一个紧凑、即时且实用的科学参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aad0/8715853/d9e79d3732b3/fped-09-752250-g0001.jpg

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