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Identification of host–pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank
Certain infectious agents are recognised causes of cancer and other chronic diseases. To understand the pathological mechanisms underlying such relationships, here we design a Multiplex Serology platform to measure quantitative antibody responses against 45 antigens from 20 infectious agents includi...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983701/ https://www.ncbi.nlm.nih.gov/pubmed/35383168 http://dx.doi.org/10.1038/s41467-022-29307-3 |
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author | Mentzer, Alexander J. Brenner, Nicole Allen, Naomi Littlejohns, Thomas J. Chong, Amanda Y. Cortes, Adrian Almond, Rachael Hill, Michael Sheard, Simon McVean, Gil Collins, Rory Hill, Adrian V. S. Waterboer, Tim |
author_facet | Mentzer, Alexander J. Brenner, Nicole Allen, Naomi Littlejohns, Thomas J. Chong, Amanda Y. Cortes, Adrian Almond, Rachael Hill, Michael Sheard, Simon McVean, Gil Collins, Rory Hill, Adrian V. S. Waterboer, Tim |
author_sort | Mentzer, Alexander J. |
collection | PubMed |
description | Certain infectious agents are recognised causes of cancer and other chronic diseases. To understand the pathological mechanisms underlying such relationships, here we design a Multiplex Serology platform to measure quantitative antibody responses against 45 antigens from 20 infectious agents including human herpes, hepatitis, polyoma, papilloma, and retroviruses, as well as Chlamydia trachomatis, Helicobacter pylori and Toxoplasma gondii, then assayed a random subset of 9695 UK Biobank participants. We find seroprevalence estimates consistent with those expected from prior literature and confirm multiple associations of antibody responses with sociodemographic characteristics (e.g., lifetime sexual partners with C. trachomatis), HLA genetic variants (rs6927022 with Epstein-Barr virus (EBV) EBNA1 antibodies) and disease outcomes (human papillomavirus-16 seropositivity with cervical intraepithelial neoplasia, and EBV responses with multiple sclerosis). Our accessible dataset is one of the largest incorporating diverse infectious agents in a prospective UK cohort offering opportunities to improve our understanding of host-pathogen-disease relationships with significant clinical and public health implications. |
format | Online Article Text |
id | pubmed-8983701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89837012022-04-22 Identification of host–pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank Mentzer, Alexander J. Brenner, Nicole Allen, Naomi Littlejohns, Thomas J. Chong, Amanda Y. Cortes, Adrian Almond, Rachael Hill, Michael Sheard, Simon McVean, Gil Collins, Rory Hill, Adrian V. S. Waterboer, Tim Nat Commun Article Certain infectious agents are recognised causes of cancer and other chronic diseases. To understand the pathological mechanisms underlying such relationships, here we design a Multiplex Serology platform to measure quantitative antibody responses against 45 antigens from 20 infectious agents including human herpes, hepatitis, polyoma, papilloma, and retroviruses, as well as Chlamydia trachomatis, Helicobacter pylori and Toxoplasma gondii, then assayed a random subset of 9695 UK Biobank participants. We find seroprevalence estimates consistent with those expected from prior literature and confirm multiple associations of antibody responses with sociodemographic characteristics (e.g., lifetime sexual partners with C. trachomatis), HLA genetic variants (rs6927022 with Epstein-Barr virus (EBV) EBNA1 antibodies) and disease outcomes (human papillomavirus-16 seropositivity with cervical intraepithelial neoplasia, and EBV responses with multiple sclerosis). Our accessible dataset is one of the largest incorporating diverse infectious agents in a prospective UK cohort offering opportunities to improve our understanding of host-pathogen-disease relationships with significant clinical and public health implications. Nature Publishing Group UK 2022-04-05 /pmc/articles/PMC8983701/ /pubmed/35383168 http://dx.doi.org/10.1038/s41467-022-29307-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Mentzer, Alexander J. Brenner, Nicole Allen, Naomi Littlejohns, Thomas J. Chong, Amanda Y. Cortes, Adrian Almond, Rachael Hill, Michael Sheard, Simon McVean, Gil Collins, Rory Hill, Adrian V. S. Waterboer, Tim Identification of host–pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank |
title | Identification of host–pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank |
title_full | Identification of host–pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank |
title_fullStr | Identification of host–pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank |
title_full_unstemmed | Identification of host–pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank |
title_short | Identification of host–pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank |
title_sort | identification of host–pathogen-disease relationships using a scalable multiplex serology platform in uk biobank |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983701/ https://www.ncbi.nlm.nih.gov/pubmed/35383168 http://dx.doi.org/10.1038/s41467-022-29307-3 |
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