dc.contributor.author |
Ross, Melissa H |
|
dc.contributor.author |
Zick, Brittany L |
|
dc.contributor.author |
Tsalik, Ephraim L |
|
dc.date.accessioned |
2020-11-01T14:38:06Z |
|
dc.date.available |
2020-11-01T14:38:06Z |
|
dc.date.issued |
2019-10 |
|
dc.identifier |
S0149-2918(19)30334-0 |
|
dc.identifier.issn |
0149-2918 |
|
dc.identifier.issn |
1879-114X |
|
dc.identifier.uri |
https://hdl.handle.net/10161/21656 |
|
dc.description.abstract |
PURPOSE:The inappropriate use of antimicrobials, especially in acute respiratory infections
(ARIs), is largely driven by difficulty distinguishing bacterial, viral, and noninfectious
etiologies of illness. A new frontier in infectious disease diagnostics looks to the
host response for disease classification. This article examines how host response-based
diagnostics for ARIs are being used in clinical practice, as well as new developments
in the research pipeline. METHODS:A limited search was conducted of the relevant literature,
with emphasis placed on literature published in the last 5 years (2014-2019). FINDINGS:Advances
are being made in all areas of host response-based diagnostics for ARIs. Specifically,
there has been significant progress made in single protein biomarkers, as well as
in various "omics" fields (including proteomics, metabolomics, and transcriptomics)
and wearable technologies. There are many potential applications of a host response-based
approach; a few key examples include the ability to discriminate bacterial and viral
disease, presymptomatic diagnosis of infection, and pathogen-specific host response
diagnostics, including modeling disease progression. IMPLICATIONS:As biomarker measurement
technologies continue to improve, host response-based diagnostics will increasingly
be translated to clinically available platforms that can generate a holistic characterization
of an individual's health. This knowledge, in the hands of both patient and provider,
can improve care for the individual patient and help fight rising rates of antibiotic
resistance.
|
|
dc.language |
eng |
|
dc.publisher |
Elsevier BV |
|
dc.relation.ispartof |
Clinical therapeutics |
|
dc.relation.isversionof |
10.1016/j.clinthera.2019.06.007 |
|
dc.subject |
Humans |
|
dc.subject |
Respiratory Tract Infections |
|
dc.subject |
Gene Expression Profiling |
|
dc.subject |
Proteomics |
|
dc.subject |
Immunocompromised Host |
|
dc.subject |
Biomarkers |
|
dc.subject |
Wearable Electronic Devices |
|
dc.title |
Host-Based Diagnostics for Acute Respiratory Infections. |
|
dc.type |
Journal article |
|
duke.contributor.id |
Tsalik, Ephraim L|0373391 |
|
dc.date.updated |
2020-11-01T14:38:06Z |
|
pubs.begin-page |
1923 |
|
pubs.end-page |
1938 |
|
pubs.issue |
10 |
|
pubs.organisational-group |
School of Medicine |
|
pubs.organisational-group |
Molecular Genetics and Microbiology |
|
pubs.organisational-group |
Medicine, Infectious Diseases |
|
pubs.organisational-group |
Duke |
|
pubs.organisational-group |
Basic Science Departments |
|
pubs.organisational-group |
Medicine |
|
pubs.organisational-group |
Clinical Science Departments |
|
pubs.publication-status |
Published |
|
pubs.volume |
41 |
|
duke.contributor.orcid |
Tsalik, Ephraim L|0000-0002-6417-2042 |
|