Literature DB >> 31351116

Multiscale modeling of innate immune receptors: Endotoxin recognition and regulation by host defense peptides.

Daniel A Holdbrook1, Roland G Huber1, Jan K Marzinek1, Astrid Stubbusch1, Artur Schmidtchen2, Peter J Bond3.   

Abstract

The innate immune system provides a first line of defense against foreign microorganisms, and is typified by the Toll-like receptor (TLR) family. TLR4 is of particular interest, since over-stimulation of its pathway by excess lipopolysaccharide (LPS) molecules from the outer membranes of Gram-negative bacteria can result in sepsis, which causes millions of deaths each year. In this review, we outline our use of molecular simulation approaches to gain a better understanding of the determinants of LPS recognition, towards the search for novel immunotherapeutics. We first describe how atomic-resolution simulations have enabled us to elucidate the regulatory conformational changes in TLR4 associated with different LPS analogues, and hence a means to rationalize experimental structure-activity data. Furthermore, multiscale modelling strategies have provided a detailed description of the thermodynamics and intermediate structures associated with the entire TLR4 relay - which consists of a number of transient receptor/coreceptor complexes - allowing us trace the pathway of LPS transfer from bacterial membranes to the terminal receptor complex at the plasma membrane surface. Finally, we describe our efforts to leverage these computational models, in order to elucidate previously undisclosed anti-inflammatory mechanisms of endogenous host-defense peptides found in wounds. Collectively, this work represents a promising avenue for the development of novel anti-septic treatments, inspired by nature's innate defense strategies.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cluster of differentiation 14 (CD14); Molecular dynamics (MD) simulation; Multiscale modelling; Sepsis; Thrombin-derived C-terminal fragments; Toll-like receptor 4 (TLR4)

Mesh:

Substances:

Year:  2019        PMID: 31351116     DOI: 10.1016/j.phrs.2019.104372

Source DB:  PubMed          Journal:  Pharmacol Res        ISSN: 1043-6618            Impact factor:   7.658


  5 in total

1.  Identification of biomarkers and pathogenesis in severe asthma by coexpression network analysis.

Authors:  Zeyi Zhang; Jingjing Wang; Ou Chen
Journal:  BMC Med Genomics       Date:  2021-02-18       Impact factor: 3.063

2.  Full-Atom Model of the Agonist LPS-Bound Toll-like Receptor 4 Dimer in a Membrane Environment.

Authors:  Alejandra Matamoros-Recio; Juan Felipe Franco-Gonzalez; Lucia Perez-Regidor; Jean-Marc Billod; Joan Guzman-Caldentey; Sonsoles Martin-Santamaria
Journal:  Chemistry       Date:  2021-10-12       Impact factor: 5.236

3.  Identification of potential biomarkers and pathogenesis in neutrophil-predominant severe asthma: A comprehensive bioinformatics analysis.

Authors:  Shuanglan Xu; Zi Chen; Linyang Ge; Chenhui Ma; Quan He; Weihua Liu; Liuchao Zhang; Linfu Zhou
Journal:  Medicine (Baltimore)       Date:  2022-09-23       Impact factor: 1.817

4.  Molecular Mechanisms of the Toll-Like Receptor, STING, MAVS, Inflammasome, and Interferon Pathways.

Authors:  Nathan P Manes; Aleksandra Nita-Lazar
Journal:  mSystems       Date:  2021-06-29       Impact factor: 6.496

5.  Obacunone Protects Against Ulcerative Colitis in Mice by Modulating Gut Microbiota, Attenuating TLR4/NF-κB Signaling Cascades, and Improving Disrupted Epithelial Barriers.

Authors:  Xiaoping Luo; Bei Yue; Zhilun Yu; Yijing Ren; Jing Zhang; Junyu Ren; Zhengtao Wang; Wei Dou
Journal:  Front Microbiol       Date:  2020-03-31       Impact factor: 5.640

  5 in total

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