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Unbiased screen for pathogens in human paraffin-embedded tissue samples by whole genome sequencing and metagenomics

Identification of bacterial pathogens in formalin fixed, paraffin embedded (FFPE) tissue samples is limited to targeted and resource-intensive methods such as sequential PCR analyses. To enable unbiased screening for pathogens in FFPE tissue samples, we established a whole genome sequencing (WGS) me...

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Autores principales: Nienhold, Ronny, Mensah, Nadine, Frank, Angela, Graber, Anne, Koike, Jacqueline, Schwab, Nathalie, Hernach, Claudia, Zsikla, Veronika, Willi, Niels, Cathomas, Gieri, Hamelin, Baptiste, Graf, Susanne, Junt, Tobias, Mertz, Kirsten D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530700/
https://www.ncbi.nlm.nih.gov/pubmed/36204644
http://dx.doi.org/10.3389/fcimb.2022.968135
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author Nienhold, Ronny
Mensah, Nadine
Frank, Angela
Graber, Anne
Koike, Jacqueline
Schwab, Nathalie
Hernach, Claudia
Zsikla, Veronika
Willi, Niels
Cathomas, Gieri
Hamelin, Baptiste
Graf, Susanne
Junt, Tobias
Mertz, Kirsten D.
author_facet Nienhold, Ronny
Mensah, Nadine
Frank, Angela
Graber, Anne
Koike, Jacqueline
Schwab, Nathalie
Hernach, Claudia
Zsikla, Veronika
Willi, Niels
Cathomas, Gieri
Hamelin, Baptiste
Graf, Susanne
Junt, Tobias
Mertz, Kirsten D.
author_sort Nienhold, Ronny
collection PubMed
description Identification of bacterial pathogens in formalin fixed, paraffin embedded (FFPE) tissue samples is limited to targeted and resource-intensive methods such as sequential PCR analyses. To enable unbiased screening for pathogens in FFPE tissue samples, we established a whole genome sequencing (WGS) method that combines shotgun sequencing and metagenomics for taxonomic identification of bacterial pathogens after subtraction of human genomic reads. To validate the assay, we analyzed more than 100 samples of known composition as well as FFPE lung autopsy tissues with and without histological signs of infections. Metagenomics analysis confirmed the pathogenic species that were previously identified by species-specific PCR in 62% of samples, showing that metagenomics is less sensitive than species-specific PCR. On the other hand, metagenomics analysis identified pathogens in samples, which had been tested negative for multiple common microorganisms and showed histological signs of infection. This highlights the ability of this assay to screen for unknown pathogens and detect multi-microbial infections which is not possible by histomorphology and species-specific PCR alone.
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spelling pubmed-95307002022-10-05 Unbiased screen for pathogens in human paraffin-embedded tissue samples by whole genome sequencing and metagenomics Nienhold, Ronny Mensah, Nadine Frank, Angela Graber, Anne Koike, Jacqueline Schwab, Nathalie Hernach, Claudia Zsikla, Veronika Willi, Niels Cathomas, Gieri Hamelin, Baptiste Graf, Susanne Junt, Tobias Mertz, Kirsten D. Front Cell Infect Microbiol Cellular and Infection Microbiology Identification of bacterial pathogens in formalin fixed, paraffin embedded (FFPE) tissue samples is limited to targeted and resource-intensive methods such as sequential PCR analyses. To enable unbiased screening for pathogens in FFPE tissue samples, we established a whole genome sequencing (WGS) method that combines shotgun sequencing and metagenomics for taxonomic identification of bacterial pathogens after subtraction of human genomic reads. To validate the assay, we analyzed more than 100 samples of known composition as well as FFPE lung autopsy tissues with and without histological signs of infections. Metagenomics analysis confirmed the pathogenic species that were previously identified by species-specific PCR in 62% of samples, showing that metagenomics is less sensitive than species-specific PCR. On the other hand, metagenomics analysis identified pathogens in samples, which had been tested negative for multiple common microorganisms and showed histological signs of infection. This highlights the ability of this assay to screen for unknown pathogens and detect multi-microbial infections which is not possible by histomorphology and species-specific PCR alone. Frontiers Media S.A. 2022-09-20 /pmc/articles/PMC9530700/ /pubmed/36204644 http://dx.doi.org/10.3389/fcimb.2022.968135 Text en Copyright © 2022 Nienhold, Mensah, Frank, Graber, Koike, Schwab, Hernach, Zsikla, Willi, Cathomas, Hamelin, Graf, Junt and Mertz https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Nienhold, Ronny
Mensah, Nadine
Frank, Angela
Graber, Anne
Koike, Jacqueline
Schwab, Nathalie
Hernach, Claudia
Zsikla, Veronika
Willi, Niels
Cathomas, Gieri
Hamelin, Baptiste
Graf, Susanne
Junt, Tobias
Mertz, Kirsten D.
Unbiased screen for pathogens in human paraffin-embedded tissue samples by whole genome sequencing and metagenomics
title Unbiased screen for pathogens in human paraffin-embedded tissue samples by whole genome sequencing and metagenomics
title_full Unbiased screen for pathogens in human paraffin-embedded tissue samples by whole genome sequencing and metagenomics
title_fullStr Unbiased screen for pathogens in human paraffin-embedded tissue samples by whole genome sequencing and metagenomics
title_full_unstemmed Unbiased screen for pathogens in human paraffin-embedded tissue samples by whole genome sequencing and metagenomics
title_short Unbiased screen for pathogens in human paraffin-embedded tissue samples by whole genome sequencing and metagenomics
title_sort unbiased screen for pathogens in human paraffin-embedded tissue samples by whole genome sequencing and metagenomics
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530700/
https://www.ncbi.nlm.nih.gov/pubmed/36204644
http://dx.doi.org/10.3389/fcimb.2022.968135
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