Multiclock Constraint System Modelling and Verification for Ensuring Cooperative Autonomous Driving Safety



Wang, Jinyong, Huang, Zhiqiu, Huang, Xiaowei ORCID: 0000-0001-6267-0366, Zhu, Yi and Wang, Fei
(2020) Multiclock Constraint System Modelling and Verification for Ensuring Cooperative Autonomous Driving Safety. JOURNAL OF ADVANCED TRANSPORTATION, 2020. 6047145-.

Access the full-text of this item by clicking on the Open Access link.

Abstract

<h4>Background</h4>More and more studies focus on the relationship between the gastrointestinal microbiome and type 2 diabetes, but few of them have actually explored the relationship between enterotypes and type 2 diabetes. <i>Materials and Methods.</i> We enrolled 134 patients with type 2 diabetes and 37 nondiabetic controls. The anthropometric and clinical indices of each subject were measured. Fecal samples of each subject were also collected and were processed for 16S rDNA sequencing. Multiple logistic regression analysis was used to determine the associations of enterotypes with type 2 diabetes. Multiple linear regression analysis was used to explore the relationship between lipopolysaccharide levels and insulin sensitivity after adjusting for age, BMI, TG, HDL-C, DAO, and TNF-<i>α</i>. The correlation analysis between factors and microbiota was identified using Spearman correlation analysis. The correlation analysis between factors was identified using partial correlation analysis.<h4>Results</h4>Gut microbiota in type 2 diabetes group exhibited lower bacterial diversity compared with nondiabetic controls. The fecal communities from all subjects clustered into two enterotypes distinguished by the levels of <i>Bacteroides</i> and <i>Prevotella.</i> Logistic regression analysis showed that the <i>Bacteroides</i> and <i>Bacteroides</i> and <i>Prevotella</i> enterotype. Partial correlation analysis showed that lipopolysaccharide was closely associated with diamine oxidase, tumor necrosis factor-alpha, and Gutt insulin sensitivity index after adjusting for multiple covariates. Furthermore, the level of lipopolysaccharide was found to be an independent risk factor for insulin sensitivity.<h4>Conclusions</h4>We identified two enterotypes, <i>Bacteroides</i> and <i>Prevotella</i>, among all subjects. Our results showed that the <i>Bacteroides</i> enterotype was an independent risk factor for type 2 diabetes, which was due to increased levels of lipopolysaccharide causing decreased insulin sensitivity.<i>Bacteroides</i> and <i>Prevotella</i> enterotype. Partial correlation analysis showed that lipopolysaccharide was closely associated with diamine oxidase, tumor necrosis factor-alpha, and Gutt insulin sensitivity index after adjusting for multiple covariates. Furthermore, the level of lipopolysaccharide was found to be an independent risk factor for insulin sensitivity. <i>Bacteroides</i> and.

Item Type: Article
Uncontrolled Keywords: Humans, Bacteroidetes, Bacteroides, Prevotella, Fusobacteria, Actinobacteria, Proteobacteria, Diabetes Mellitus, Type 2, Insulin Resistance, Insulin, C-Peptide, Amine Oxidase (Copper-Containing), Lipopolysaccharides, Blood Glucose, Triglycerides, Tumor Necrosis Factor-alpha, RNA, Ribosomal, 16S, Logistic Models, Risk Factors, Case-Control Studies, Pilot Projects, Biodiversity, Postprandial Period, Aged, Middle Aged, Female, Male, Cholesterol, HDL, Verrucomicrobia, Gastrointestinal Microbiome, Firmicutes, Glycated Hemoglobin
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 16 Aug 2021 13:54
Last Modified: 11 Feb 2023 02:56
DOI: 10.1155/2020/8830752
Open Access URL: https://www.hindawi.com/journals/jat/2020/8830752/
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3133694