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The Potential of Omics Technologies in Lyme Disease Biomarker Discovery and Early Detection
Lyme borreliosis (LB) is the most prevalent arthropod-borne infectious disease in North America and many countries of the temperate Northern Hemisphere. It is associated with local and systemic manifestations and has persistent post-treatment health complications in some individuals. Innate and acqu...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Healthcare
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336413/ https://www.ncbi.nlm.nih.gov/pubmed/27900646 http://dx.doi.org/10.1007/s40121-016-0138-6 |
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author | Badawi, Alaa |
author_facet | Badawi, Alaa |
author_sort | Badawi, Alaa |
collection | PubMed |
description | Lyme borreliosis (LB) is the most prevalent arthropod-borne infectious disease in North America and many countries of the temperate Northern Hemisphere. It is associated with local and systemic manifestations and has persistent post-treatment health complications in some individuals. Innate and acquired immunity-related inflammation is likely to play a critical role in both host defense against Borrelia burgdorferi and disease severity. Large-scale analytical approaches to quantify gene expression (transcriptomics), proteins (proteomics) and metabolites (metabolomics) in LB have recently emerged with a potential to advance the development of disease biomarkers in early, disseminated and posttreatment disease stages. These technologies may permit defining the disease stage and facilitate its early detection to improve diagnosis. They will also likely allow elucidating the underlying molecular pathways to aid in identifying molecular targets for therapy. This article reviews the findings within the field of omics relevant to LB and its prospective utility in developing an array of biomarkers that can be employed in LB diagnosis and detection particularly at the early disease stages. |
format | Online Article Text |
id | pubmed-5336413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-53364132017-03-16 The Potential of Omics Technologies in Lyme Disease Biomarker Discovery and Early Detection Badawi, Alaa Infect Dis Ther Review Lyme borreliosis (LB) is the most prevalent arthropod-borne infectious disease in North America and many countries of the temperate Northern Hemisphere. It is associated with local and systemic manifestations and has persistent post-treatment health complications in some individuals. Innate and acquired immunity-related inflammation is likely to play a critical role in both host defense against Borrelia burgdorferi and disease severity. Large-scale analytical approaches to quantify gene expression (transcriptomics), proteins (proteomics) and metabolites (metabolomics) in LB have recently emerged with a potential to advance the development of disease biomarkers in early, disseminated and posttreatment disease stages. These technologies may permit defining the disease stage and facilitate its early detection to improve diagnosis. They will also likely allow elucidating the underlying molecular pathways to aid in identifying molecular targets for therapy. This article reviews the findings within the field of omics relevant to LB and its prospective utility in developing an array of biomarkers that can be employed in LB diagnosis and detection particularly at the early disease stages. Springer Healthcare 2016-11-29 2017-03 /pmc/articles/PMC5336413/ /pubmed/27900646 http://dx.doi.org/10.1007/s40121-016-0138-6 Text en © The Author(s) 2016 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Review Badawi, Alaa The Potential of Omics Technologies in Lyme Disease Biomarker Discovery and Early Detection |
title | The Potential of Omics Technologies in Lyme Disease Biomarker Discovery and Early Detection |
title_full | The Potential of Omics Technologies in Lyme Disease Biomarker Discovery and Early Detection |
title_fullStr | The Potential of Omics Technologies in Lyme Disease Biomarker Discovery and Early Detection |
title_full_unstemmed | The Potential of Omics Technologies in Lyme Disease Biomarker Discovery and Early Detection |
title_short | The Potential of Omics Technologies in Lyme Disease Biomarker Discovery and Early Detection |
title_sort | potential of omics technologies in lyme disease biomarker discovery and early detection |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336413/ https://www.ncbi.nlm.nih.gov/pubmed/27900646 http://dx.doi.org/10.1007/s40121-016-0138-6 |
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