Cargando…

COVID-19 Lockdowns May Reduce Resistance Genes Diversity in the Human Microbiome and the Need for Antibiotics

Recently, much attention has been paid to the COVID-19 pandemic. Yet bacterial resistance to antibiotics remains a serious and unresolved public health problem that kills hundreds of thousands of people annually, being an insidious and silent pandemic. To contain the spreading of the SARS-CoV-2 viru...

Descripción completa

Detalles Bibliográficos
Autores principales: Rebelo, João S., Domingues, Célia P. F., Dionisio, Francisco, Gomes, Manuel C., Botelho, Ana, Nogueira, Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268123/
https://www.ncbi.nlm.nih.gov/pubmed/34206965
http://dx.doi.org/10.3390/ijms22136891
_version_ 1783720288037371904
author Rebelo, João S.
Domingues, Célia P. F.
Dionisio, Francisco
Gomes, Manuel C.
Botelho, Ana
Nogueira, Teresa
author_facet Rebelo, João S.
Domingues, Célia P. F.
Dionisio, Francisco
Gomes, Manuel C.
Botelho, Ana
Nogueira, Teresa
author_sort Rebelo, João S.
collection PubMed
description Recently, much attention has been paid to the COVID-19 pandemic. Yet bacterial resistance to antibiotics remains a serious and unresolved public health problem that kills hundreds of thousands of people annually, being an insidious and silent pandemic. To contain the spreading of the SARS-CoV-2 virus, populations confined and tightened hygiene measures. We performed this study with computer simulations and by using mobility data of mobile phones from Google in the region of Lisbon, Portugal, comprising 3.7 million people during two different lockdown periods, scenarios of 40 and 60% mobility reduction. In the simulations, we assumed that the network of physical contact between people is that of a small world and computed the antibiotic resistance in human microbiomes after 180 days in the simulation. Our simulations show that reducing human contacts drives a reduction in the diversity of antibiotic resistance genes in human microbiomes. Kruskal–Wallis and Dunn’s pairwise tests show very strong evidence (p < 0.000, adjusted using the Bonferroni correction) of a difference between the four confinement regimes. The proportion of variability in the ranked dependent variable accounted for by the confinement variable was η(2) = 0.148, indicating a large effect of confinement on the diversity of antibiotic resistance. We have shown that confinement and hygienic measures, in addition to reducing the spread of pathogenic bacteria in a human network, also reduce resistance and the need to use antibiotics.
format Online
Article
Text
id pubmed-8268123
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-82681232021-07-10 COVID-19 Lockdowns May Reduce Resistance Genes Diversity in the Human Microbiome and the Need for Antibiotics Rebelo, João S. Domingues, Célia P. F. Dionisio, Francisco Gomes, Manuel C. Botelho, Ana Nogueira, Teresa Int J Mol Sci Article Recently, much attention has been paid to the COVID-19 pandemic. Yet bacterial resistance to antibiotics remains a serious and unresolved public health problem that kills hundreds of thousands of people annually, being an insidious and silent pandemic. To contain the spreading of the SARS-CoV-2 virus, populations confined and tightened hygiene measures. We performed this study with computer simulations and by using mobility data of mobile phones from Google in the region of Lisbon, Portugal, comprising 3.7 million people during two different lockdown periods, scenarios of 40 and 60% mobility reduction. In the simulations, we assumed that the network of physical contact between people is that of a small world and computed the antibiotic resistance in human microbiomes after 180 days in the simulation. Our simulations show that reducing human contacts drives a reduction in the diversity of antibiotic resistance genes in human microbiomes. Kruskal–Wallis and Dunn’s pairwise tests show very strong evidence (p < 0.000, adjusted using the Bonferroni correction) of a difference between the four confinement regimes. The proportion of variability in the ranked dependent variable accounted for by the confinement variable was η(2) = 0.148, indicating a large effect of confinement on the diversity of antibiotic resistance. We have shown that confinement and hygienic measures, in addition to reducing the spread of pathogenic bacteria in a human network, also reduce resistance and the need to use antibiotics. MDPI 2021-06-26 /pmc/articles/PMC8268123/ /pubmed/34206965 http://dx.doi.org/10.3390/ijms22136891 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rebelo, João S.
Domingues, Célia P. F.
Dionisio, Francisco
Gomes, Manuel C.
Botelho, Ana
Nogueira, Teresa
COVID-19 Lockdowns May Reduce Resistance Genes Diversity in the Human Microbiome and the Need for Antibiotics
title COVID-19 Lockdowns May Reduce Resistance Genes Diversity in the Human Microbiome and the Need for Antibiotics
title_full COVID-19 Lockdowns May Reduce Resistance Genes Diversity in the Human Microbiome and the Need for Antibiotics
title_fullStr COVID-19 Lockdowns May Reduce Resistance Genes Diversity in the Human Microbiome and the Need for Antibiotics
title_full_unstemmed COVID-19 Lockdowns May Reduce Resistance Genes Diversity in the Human Microbiome and the Need for Antibiotics
title_short COVID-19 Lockdowns May Reduce Resistance Genes Diversity in the Human Microbiome and the Need for Antibiotics
title_sort covid-19 lockdowns may reduce resistance genes diversity in the human microbiome and the need for antibiotics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268123/
https://www.ncbi.nlm.nih.gov/pubmed/34206965
http://dx.doi.org/10.3390/ijms22136891
work_keys_str_mv AT rebelojoaos covid19lockdownsmayreduceresistancegenesdiversityinthehumanmicrobiomeandtheneedforantibiotics
AT dominguesceliapf covid19lockdownsmayreduceresistancegenesdiversityinthehumanmicrobiomeandtheneedforantibiotics
AT dionisiofrancisco covid19lockdownsmayreduceresistancegenesdiversityinthehumanmicrobiomeandtheneedforantibiotics
AT gomesmanuelc covid19lockdownsmayreduceresistancegenesdiversityinthehumanmicrobiomeandtheneedforantibiotics
AT botelhoana covid19lockdownsmayreduceresistancegenesdiversityinthehumanmicrobiomeandtheneedforantibiotics
AT nogueirateresa covid19lockdownsmayreduceresistancegenesdiversityinthehumanmicrobiomeandtheneedforantibiotics