Potential probiotics for viral triggered type 2 diabetes

Mariam Oweda, Joseph N. Tanyous, M. Hamed, M. El-Hadidi
{"title":"Potential probiotics for viral triggered type 2 diabetes","authors":"Mariam Oweda, Joseph N. Tanyous, M. Hamed, M. El-Hadidi","doi":"10.1109/NILES53778.2021.9600499","DOIUrl":null,"url":null,"abstract":"The scientific literature is full of studies that provide evidence highlighting the role of microbiome in type 2 diabetes (T2D) development and progression, still, discrepancies are evident when studying the link between certain taxonomic groupings and T2D, thus, eliminating the discrepancy between such studies is crucial to build on a robust systematic approach to identify the possible linkage between such taxonomic groups and diabetes development and progression, hence developing a potential treatment. Here we aimed to use a publicly available data set of gut and nares microbiome of prediabetic individuals subjected to viral infections and controls of prediabetic healthy individuals. Analysis was done for taxa differential abundance followed by Taxon set enrichment analysis (TSEA), then, Correlations between each of the differentially abundant bacterium was performed. Our results suggest various microbial communities significantly changed with direct relation to critical diseases, such as Type 2 Diabetes, Obesity, Type 1 Diabetes and atherosclerosis. The findings are strongly assertive for each other as both nares and gut data were matching and agreeing with the literature, paving the road for potential probiotic therapeutics for T2D.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NILES53778.2021.9600499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The scientific literature is full of studies that provide evidence highlighting the role of microbiome in type 2 diabetes (T2D) development and progression, still, discrepancies are evident when studying the link between certain taxonomic groupings and T2D, thus, eliminating the discrepancy between such studies is crucial to build on a robust systematic approach to identify the possible linkage between such taxonomic groups and diabetes development and progression, hence developing a potential treatment. Here we aimed to use a publicly available data set of gut and nares microbiome of prediabetic individuals subjected to viral infections and controls of prediabetic healthy individuals. Analysis was done for taxa differential abundance followed by Taxon set enrichment analysis (TSEA), then, Correlations between each of the differentially abundant bacterium was performed. Our results suggest various microbial communities significantly changed with direct relation to critical diseases, such as Type 2 Diabetes, Obesity, Type 1 Diabetes and atherosclerosis. The findings are strongly assertive for each other as both nares and gut data were matching and agreeing with the literature, paving the road for potential probiotic therapeutics for T2D.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
可能用于治疗病毒引发的2型糖尿病的益生菌
科学文献中大量的研究都强调了微生物组在2型糖尿病(T2D)发展和进展中的作用,然而,在研究某些分类类群与T2D之间的联系时,差异是明显的,因此,消除这些研究之间的差异对于建立一个强大的系统方法来确定这些分类类群与糖尿病发展和进展之间可能的联系至关重要。因此开发了一种潜在的治疗方法。在这里,我们的目的是使用公开可用的数据集,包括遭受病毒感染的糖尿病前期个体的肠道和鼻腔微生物组,以及糖尿病前期健康个体的对照组。首先进行分类群差异丰度分析,然后进行分类群富集分析(Taxon set enrichment Analysis, TSEA),然后进行差异丰度细菌之间的相关性分析。我们的研究结果表明,各种微生物群落发生了显著变化,与2型糖尿病、肥胖、1型糖尿病和动脉粥样硬化等关键疾病有直接关系。这一发现相互之间具有很强的说服力,因为鼻腔和肠道数据都与文献相匹配,并与文献一致,为潜在的T2D益生菌治疗铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Numerical Corrections to Estimate Depletion Region Width in Pseudo-two-dimensional Model of Double-Gate Tunneling FET GSK-RL: Adaptive Gaining-sharing Knowledge algorithm using Reinforcement Learning The Fluorescent Effect of Chitosan Magnetitic Nanoparticles for Near-Infrared Imaging Facility layout and supply chain management of food service industries: A case study Investigation of root causes of order unfulfillment: A Logistics case study
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1