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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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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. |
format | Online Article Text |
id | pubmed-6119588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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