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Metagenomic analysis and identification of emerging pathogens in blood from healthy donors
Emerging infectious pathogens that threaten blood transfusions are known to be present in blood samples from healthy/qualified donors. The objective of this study was to investigate the microbiome of blood from healthy donors from the Luzhou area in southwestern China. Potential pathogens and cytome...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519034/ https://www.ncbi.nlm.nih.gov/pubmed/32978450 http://dx.doi.org/10.1038/s41598-020-72808-8 |
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author | Xu, Min Gao, Jing Li, Shilin Zeng, Min Wu, Jianming Luo, Mao |
author_facet | Xu, Min Gao, Jing Li, Shilin Zeng, Min Wu, Jianming Luo, Mao |
author_sort | Xu, Min |
collection | PubMed |
description | Emerging infectious pathogens that threaten blood transfusions are known to be present in blood samples from healthy/qualified donors. The objective of this study was to investigate the microbiome of blood from healthy donors from the Luzhou area in southwestern China. Potential pathogens and cytomegalovirus (CMV) infection in the donor blood were identified. Total plasma nucleic acids were extracted from one pool of 5734 samples and were constructed for metagenomics analysis using Illumina sequencing. The microbiome and potential emerging/re-emerging pathogens were identified using bioinformatics analysis. Moreover, CMV antigen was measured via an enzyme-linked immunosorbent assay, and the CMV DNA level was assessed by quantitative RT-PCR. A total of 132 bacterial reads, 65 viral reads and 165 parasitic reads were obtained. The most frequent bacterium was Escherichia coli (95/132, 72%) with 95 reads in 132 bacterial reads, and the most prevalent parasite was Toxoplasma gondii (131/165, 79%). Among the viruses, cytomegalovirus (44/65, 68%) accounted for the highest frequency, followed by Hepatitis E Virus (10/65, 15%). Moreover, the positive rate of CMV-IgG was 46.25% (2652/5734), and the positive rate of CMV-IgM was 5.82% (334/5734). The positive rate of dual positive (IgG+ and IgM+) CMV was 0.07% (4/5734). Twenty-one (0.37%) specimens from 5734 donated blood samples were positive for CMV DNA. The CMV DNA levels ranged from 7.56 × 10(2) to 3.58 × 10(3) copies/mL. The current study elucidated the microbiome structure in blood from healthy/qualified donors in the Luzhou area and identified emerging/re-emerging pathogens. This preliminary study contributes to information regarding blood transfusion safety in China. |
format | Online Article Text |
id | pubmed-7519034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75190342020-09-29 Metagenomic analysis and identification of emerging pathogens in blood from healthy donors Xu, Min Gao, Jing Li, Shilin Zeng, Min Wu, Jianming Luo, Mao Sci Rep Article Emerging infectious pathogens that threaten blood transfusions are known to be present in blood samples from healthy/qualified donors. The objective of this study was to investigate the microbiome of blood from healthy donors from the Luzhou area in southwestern China. Potential pathogens and cytomegalovirus (CMV) infection in the donor blood were identified. Total plasma nucleic acids were extracted from one pool of 5734 samples and were constructed for metagenomics analysis using Illumina sequencing. The microbiome and potential emerging/re-emerging pathogens were identified using bioinformatics analysis. Moreover, CMV antigen was measured via an enzyme-linked immunosorbent assay, and the CMV DNA level was assessed by quantitative RT-PCR. A total of 132 bacterial reads, 65 viral reads and 165 parasitic reads were obtained. The most frequent bacterium was Escherichia coli (95/132, 72%) with 95 reads in 132 bacterial reads, and the most prevalent parasite was Toxoplasma gondii (131/165, 79%). Among the viruses, cytomegalovirus (44/65, 68%) accounted for the highest frequency, followed by Hepatitis E Virus (10/65, 15%). Moreover, the positive rate of CMV-IgG was 46.25% (2652/5734), and the positive rate of CMV-IgM was 5.82% (334/5734). The positive rate of dual positive (IgG+ and IgM+) CMV was 0.07% (4/5734). Twenty-one (0.37%) specimens from 5734 donated blood samples were positive for CMV DNA. The CMV DNA levels ranged from 7.56 × 10(2) to 3.58 × 10(3) copies/mL. The current study elucidated the microbiome structure in blood from healthy/qualified donors in the Luzhou area and identified emerging/re-emerging pathogens. This preliminary study contributes to information regarding blood transfusion safety in China. Nature Publishing Group UK 2020-09-25 /pmc/articles/PMC7519034/ /pubmed/32978450 http://dx.doi.org/10.1038/s41598-020-72808-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Xu, Min Gao, Jing Li, Shilin Zeng, Min Wu, Jianming Luo, Mao Metagenomic analysis and identification of emerging pathogens in blood from healthy donors |
title | Metagenomic analysis and identification of emerging pathogens in blood from healthy donors |
title_full | Metagenomic analysis and identification of emerging pathogens in blood from healthy donors |
title_fullStr | Metagenomic analysis and identification of emerging pathogens in blood from healthy donors |
title_full_unstemmed | Metagenomic analysis and identification of emerging pathogens in blood from healthy donors |
title_short | Metagenomic analysis and identification of emerging pathogens in blood from healthy donors |
title_sort | metagenomic analysis and identification of emerging pathogens in blood from healthy donors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519034/ https://www.ncbi.nlm.nih.gov/pubmed/32978450 http://dx.doi.org/10.1038/s41598-020-72808-8 |
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