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Detection and identification of previously unrecognized microbial pathogens.
Features of a number of important but poorly explained human clinical syndromes strongly indicate a microbial etiology. In these syndromes, the failure of cultivation-dependent microbial detection methods reveals our ignorance of microbial growth requirements. Sequence-based molecular methods, howev...
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Formato: | Texto |
Lenguaje: | English |
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Centers for Disease Control and Prevention
1998
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2640285/ https://www.ncbi.nlm.nih.gov/pubmed/9716951 |
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author | Relman, D A |
author_facet | Relman, D A |
author_sort | Relman, D A |
collection | PubMed |
description | Features of a number of important but poorly explained human clinical syndromes strongly indicate a microbial etiology. In these syndromes, the failure of cultivation-dependent microbial detection methods reveals our ignorance of microbial growth requirements. Sequence-based molecular methods, however, offer alternative approaches for microbial identification directly from host specimens found in the setting of unexplained acute illnesses, chronic inflammatory disease, and from anatomic sites that contain commensal microflora. The rapid expansion of genome sequence databases and advances in biotechnology present opportunities and challenges: identification of consensus sequences from which reliable, specific phylogenetic information can be inferred for all taxonomic groups of pathogens, broad-range pathogen identification on the basis of virulence-associated gene families, and use of host gene expression response profiles as specific signatures of microbial infection. |
format | Text |
id | pubmed-2640285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1998 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-26402852009-05-20 Detection and identification of previously unrecognized microbial pathogens. Relman, D A Emerg Infect Dis Research Article Features of a number of important but poorly explained human clinical syndromes strongly indicate a microbial etiology. In these syndromes, the failure of cultivation-dependent microbial detection methods reveals our ignorance of microbial growth requirements. Sequence-based molecular methods, however, offer alternative approaches for microbial identification directly from host specimens found in the setting of unexplained acute illnesses, chronic inflammatory disease, and from anatomic sites that contain commensal microflora. The rapid expansion of genome sequence databases and advances in biotechnology present opportunities and challenges: identification of consensus sequences from which reliable, specific phylogenetic information can be inferred for all taxonomic groups of pathogens, broad-range pathogen identification on the basis of virulence-associated gene families, and use of host gene expression response profiles as specific signatures of microbial infection. Centers for Disease Control and Prevention 1998 /pmc/articles/PMC2640285/ /pubmed/9716951 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Article Relman, D A Detection and identification of previously unrecognized microbial pathogens. |
title | Detection and identification of previously unrecognized microbial pathogens. |
title_full | Detection and identification of previously unrecognized microbial pathogens. |
title_fullStr | Detection and identification of previously unrecognized microbial pathogens. |
title_full_unstemmed | Detection and identification of previously unrecognized microbial pathogens. |
title_short | Detection and identification of previously unrecognized microbial pathogens. |
title_sort | detection and identification of previously unrecognized microbial pathogens. |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2640285/ https://www.ncbi.nlm.nih.gov/pubmed/9716951 |
work_keys_str_mv | AT relmanda detectionandidentificationofpreviouslyunrecognizedmicrobialpathogens |