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Detecting eukaryotic microbiota with single-cell sensitivity in human tissue

BACKGROUND: Fetal growth restriction, pre-eclampsia, and pre-term birth are major adverse pregnancy outcomes. These complications are considerable contributors to fetal/maternal morbidity and mortality worldwide. A significant proportion of these cases are thought to be due to dysfunction of the pla...

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Autores principales: Lager, Susanne, de Goffau, Marcus C., Sovio, Ulla, Peacock, Sharon J., Parkhill, Julian, Charnock-Jones, D. Stephen, Smith, Gordon C. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119588/
https://www.ncbi.nlm.nih.gov/pubmed/30172254
http://dx.doi.org/10.1186/s40168-018-0529-x
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author Lager, Susanne
de Goffau, Marcus C.
Sovio, Ulla
Peacock, Sharon J.
Parkhill, Julian
Charnock-Jones, D. Stephen
Smith, Gordon C. S.
author_facet Lager, Susanne
de Goffau, Marcus C.
Sovio, Ulla
Peacock, Sharon J.
Parkhill, Julian
Charnock-Jones, D. Stephen
Smith, Gordon C. S.
author_sort Lager, Susanne
collection PubMed
description BACKGROUND: Fetal growth restriction, pre-eclampsia, and pre-term birth are major adverse pregnancy outcomes. These complications are considerable contributors to fetal/maternal morbidity and mortality worldwide. A significant proportion of these cases are thought to be due to dysfunction of the placenta. However, the underlying mechanisms of placental dysfunction are unclear. The aim of the present study was to investigate whether adverse pregnancy outcomes are associated with evidence of placental eukaryotic infection. RESULTS: We modified the 18S Illumina Amplicon Protocol of the Earth Microbiome Project and made it capable of detecting just a single spiked-in genome copy of Plasmodium falciparum, Saccharomyces cerevisiae, or Toxoplasma gondii among more than 70,000 human cells. Using this method, we were unable to detect eukaryotic pathogens in placental biopsies in instances of adverse pregnancy outcome (n = 199) or in healthy controls (n = 99). CONCLUSIONS: Eukaryotic infection of the placenta is not an underlying cause of the aforementioned pregnancy complications. Possible clinical applications for this non-targeted, yet extremely sensitive, eukaryotic screening method are manifest. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0529-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-61195882018-09-05 Detecting eukaryotic microbiota with single-cell sensitivity in human tissue Lager, Susanne de Goffau, Marcus C. Sovio, Ulla Peacock, Sharon J. Parkhill, Julian Charnock-Jones, D. Stephen Smith, Gordon C. S. Microbiome Methodology BACKGROUND: Fetal growth restriction, pre-eclampsia, and pre-term birth are major adverse pregnancy outcomes. These complications are considerable contributors to fetal/maternal morbidity and mortality worldwide. A significant proportion of these cases are thought to be due to dysfunction of the placenta. However, the underlying mechanisms of placental dysfunction are unclear. The aim of the present study was to investigate whether adverse pregnancy outcomes are associated with evidence of placental eukaryotic infection. RESULTS: We modified the 18S Illumina Amplicon Protocol of the Earth Microbiome Project and made it capable of detecting just a single spiked-in genome copy of Plasmodium falciparum, Saccharomyces cerevisiae, or Toxoplasma gondii among more than 70,000 human cells. Using this method, we were unable to detect eukaryotic pathogens in placental biopsies in instances of adverse pregnancy outcome (n = 199) or in healthy controls (n = 99). CONCLUSIONS: Eukaryotic infection of the placenta is not an underlying cause of the aforementioned pregnancy complications. Possible clinical applications for this non-targeted, yet extremely sensitive, eukaryotic screening method are manifest. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0529-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-09-01 /pmc/articles/PMC6119588/ /pubmed/30172254 http://dx.doi.org/10.1186/s40168-018-0529-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Lager, Susanne
de Goffau, Marcus C.
Sovio, Ulla
Peacock, Sharon J.
Parkhill, Julian
Charnock-Jones, D. Stephen
Smith, Gordon C. S.
Detecting eukaryotic microbiota with single-cell sensitivity in human tissue
title Detecting eukaryotic microbiota with single-cell sensitivity in human tissue
title_full Detecting eukaryotic microbiota with single-cell sensitivity in human tissue
title_fullStr Detecting eukaryotic microbiota with single-cell sensitivity in human tissue
title_full_unstemmed Detecting eukaryotic microbiota with single-cell sensitivity in human tissue
title_short Detecting eukaryotic microbiota with single-cell sensitivity in human tissue
title_sort detecting eukaryotic microbiota with single-cell sensitivity in human tissue
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119588/
https://www.ncbi.nlm.nih.gov/pubmed/30172254
http://dx.doi.org/10.1186/s40168-018-0529-x
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