About: Significant Unresolved Questions and Opportunities for Bioengineering in Understanding and Treating COVID-19 Disease Progression

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Significant Unresolved Questions and Opportunities for Bioengineering in Understanding and Treating COVID-19 Disease Progression Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Significant Unresolved Questions and Opportunities for Bioengineering in Understanding and Treating COVID-19 Disease Progression
Creator	Donzanti, Michael Gleghorn, Jason Nelson, Katherine Shirazi, Jasmine Fromen, Catherine Zurakowski, Ryan
Source	Medline; PMC
abstract	COVID-19 is a disease that manifests itself in a multitude of ways across a wide range of tissues. Many factors are involved, and though impressive strides have been made in studying this novel disease in a very short time, there is still a great deal that is unknown about how the virus functions. Clinical data has been crucial for providing information on COVID-19 progression and determining risk factors. However, the mechanisms leading to the multi-tissue pathology are yet to be fully established. Although insights from SARS-CoV-1 and MERS-CoV have been valuable, it is clear that SARS-CoV-2 is different and merits its own extensive studies. In this review, we highlight unresolved questions surrounding this virus including the temporal immune dynamics, infection of non-pulmonary tissue, early life exposure, and the role of circadian rhythms. Risk factors such as sex and exposure to pollutants are also explored followed by a discussion of ways in which bioengineering approaches can be employed to help understand COVID-19. The use of sophisticated in vitro models can be employed to interrogate intercellular interactions and also to tease apart effects of the virus itself from the resulting immune response. Additionally, spatiotemporal information can be gleaned from these models to learn more about the dynamics of the virus and COVID-19 progression. Application of advanced tissue and organ system models into COVID-19 research can result in more nuanced insight into the mechanisms underlying this condition and elucidate strategies to combat its effects.
has issue date	2020-07-27(xsd:dateTime)
bibo:doi	10.1007/s12195-020-00637-w
bibo:pmid	32837585
has license	no-cc
sha1sum (hex)	d0cbeb28949b7379c7f04dea0ed37d383217725f
schema:url	https://doi.org/10.1007/s12195-020-00637-w
resource representing a document's title	Significant Unresolved Questions and Opportunities for Bioengineering in Understanding and Treating COVID-19 Disease Progression
has PubMed Central identifier	PMC7384395
has PubMed identifier	32837585
schema:publication	Cell Mol Bioeng
resource representing a document's body	covid:d0cbeb28949b7379c7f04dea0ed37d383217725f#body_text
is schema:about of	named entity 'sex' named entity 'virus' named entity 'employed' named entity 'result' named entity 'effects' named entity 'organ system' named entity 'models' named entity 'data' named entity 'virus' named entity 'functions' named entity 'interactions' named entity 'tissue' named entity 'advanced' named entity 'effects' named entity 'learn' named entity 'pathology' named entity 'life' named entity 'Clinical data' named entity 'risk factors' named entity 'virus' named entity 'COVID' named entity 'COVID-19' named entity 'circadian rhythms' named entity 'SARS-CoV-1' named entity 'Disease Progression' named entity 'COVID-19' named entity 'explored' named entity 'ACE2' named entity 'SARS-CoV-2' named entity 'lung function' named entity 'circadian rhythms' named entity 'immune response' named entity 'COVID' named entity 'physiological' named entity 'pregnant women' named entity 'viral infection' named entity 'estradiol' named entity 'SARS-CoV-2' named entity 'IL-6' named entity 'CT scan' named entity 'ADE' named entity 'immune cells' named entity 'sepsis' named entity 'plasma membrane' named entity 'temporal resolution' named entity 'ICU' named entity 'RORc' named entity 'COVID' named entity 'transcription co-factors' named entity 'TLR4' named entity 'systemic circulation' named entity 'TMPRSS2' named entity 'socioeconomic status' named entity 'platelets' named entity 'COVID-19.' named entity 'immunopathology' named entity 'ventilator-induced lung injury' named entity 'phenotype' named entity 'mucus' named entity 'obesity' named entity 'TLRs' named entity 'PPARc' named entity 'murine' named entity 'lung-on-a-chip' named entity 'air pollution' named entity 'ARDS' named entity 'infection' named entity 'lymphocyte' named entity 'ACE2' named entity 'SARS-CoV-2' named entity 'ACE2' named entity 'SARS-CoV-2' named entity 'IL-1' named entity 'aerosolization' named entity 'downregulation' named entity 'allele'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software