TY - GEN
T1 - Host-based diagnostics for detection and prognosis of infectious diseases
AU - Yang, William E.
AU - Woods, Christopher W.
AU - Tsalik, Ephraim L.
N1 - Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2015
Y1 - 2015
N2 - The field of infectious diseases is witnessing the rapid evolution of molecular diagnostics, mostly focused on pathogen detection. However, targeting the host response for diagnostic and prognostic purposes has been described as a paradigm shift (Ramilo & Mejias, 2009). The concept of host response is not new. The erythrocyte sedimentation rate described in 1917 and C-reactive protein in 1930 are still used today albeit with limitations. More contemporary biomarkers based on known biology include procalcitonin, cytokines, and lactate. However, completion of the Human Genome Project in 2003 triggered the rapid pace of discovery we see today. This has set the stage for various 'omic technologies to identify new biomarkers from these unbiased systems biology approaches. The massive streams of data associated with omics impose their own challenges, spurring developments in statistics, bioinformatics, and computing. Fortunately, the availability of data and the means to process it have converged, creating the right environment for host-based molecular diagnostics in infectious diseases to flourish. Transcriptomics, metabolomics, and proteomics constitute the major tools to identify host-response biomarkers of infectious diseases. Specifically, research generated by these approaches has led to the development of bacterial, viral, fungal, and parasite pathogen class diagnostic and prognostic biomarkers.
AB - The field of infectious diseases is witnessing the rapid evolution of molecular diagnostics, mostly focused on pathogen detection. However, targeting the host response for diagnostic and prognostic purposes has been described as a paradigm shift (Ramilo & Mejias, 2009). The concept of host response is not new. The erythrocyte sedimentation rate described in 1917 and C-reactive protein in 1930 are still used today albeit with limitations. More contemporary biomarkers based on known biology include procalcitonin, cytokines, and lactate. However, completion of the Human Genome Project in 2003 triggered the rapid pace of discovery we see today. This has set the stage for various 'omic technologies to identify new biomarkers from these unbiased systems biology approaches. The massive streams of data associated with omics impose their own challenges, spurring developments in statistics, bioinformatics, and computing. Fortunately, the availability of data and the means to process it have converged, creating the right environment for host-based molecular diagnostics in infectious diseases to flourish. Transcriptomics, metabolomics, and proteomics constitute the major tools to identify host-response biomarkers of infectious diseases. Specifically, research generated by these approaches has led to the development of bacterial, viral, fungal, and parasite pathogen class diagnostic and prognostic biomarkers.
KW - Computational biology
KW - Diagnostic biomarkers
KW - Gene expression profiling
KW - Genomics
KW - Host-pathogen interactions
KW - Metabolomics
KW - Proteomics
UR - http://www.scopus.com/inward/record.url?scp=84937053691&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84937053691&partnerID=8YFLogxK
U2 - 10.1016/bs.mim.2015.06.001
DO - 10.1016/bs.mim.2015.06.001
M3 - Conference contribution
AN - SCOPUS:84937053691
SN - 9780128032978
T3 - Methods in Microbiology
SP - 465
EP - 500
BT - Current and Emerging Technologies for the Diagnosis of Microbial Infections, 2015
A2 - Sails, Andrew
A2 - Tang, Yi-Wei
PB - Academic Press Inc.
ER -