Association Between the Respiratory Microbiome and Susceptibility to Influenza Virus Infection
Abstract Background Previous studies suggest that the nose/throat microbiome may play an important role in shaping host immunity and modifying the risk of respiratory infection. Our aim is to quantify the association between the nose/throat microbiome and susceptibility to influenza virus infection....
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Published in | Clinical infectious diseases Vol. 71; no. 5; pp. 1195 - 1203 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
US
Oxford University Press
22.08.2020
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Abstract | Abstract
Background
Previous studies suggest that the nose/throat microbiome may play an important role in shaping host immunity and modifying the risk of respiratory infection. Our aim is to quantify the association between the nose/throat microbiome and susceptibility to influenza virus infection.
Methods
In this household transmission study, index cases with confirmed influenza virus infection and their household contacts were followed for 9–12 days to identify secondary influenza infections. Respiratory swabs were collected at enrollment to identify and quantify bacterial species via high-performance sequencing. Data were analyzed by an individual hazard-based transmission model that was adjusted for age, vaccination, and household size.
Results
We recruited 115 index cases with influenza A(H3N2) or B infection and 436 household contacts. We estimated that a 10-fold increase in the abundance in Streptococcus spp. and Prevotella salivae was associated with 48% (95% credible interval [CrI], 9–69%) and 25% (95% CrI, 0.5–42%) lower susceptibility to influenza A(H3N2) infection, respectively. In contrast, for influenza B infection, a 10-fold increase in the abundance in Streptococcus vestibularis and Prevotella spp. was associated with 63% (95% CrI, 17–83%) lower and 83% (95% CrI, 15–210%) higher susceptibility, respectively.
Conclusions
Susceptibility to influenza infection is associated with the nose/throat microbiome at the time of exposure. The effects of oligotypes on susceptibility differ between influenza A(H3N2) and B viruses. Our results suggest that microbiome may be a useful predictor of susceptibility, with the implication that microbiome could be modulated to reduce influenza infection risk, should these associations be causal.
The upper respiratory microbiome may play a role in susceptibility to influenza virus. This study examines the role of the nose/throat microbiome on influenza infection using a household influenza transmission study. |
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AbstractList | The upper respiratory microbiome may play a role in susceptibility to influenza virus. This study examines the role of the nose/throat microbiome on influenza infection using a household influenza transmission study. Previous studies suggest that the nose/throat microbiome may play an important role in shaping host immunity and modifying the risk of respiratory infection. Our aim is to quantify the association between the nose/throat microbiome and susceptibility to influenza virus infection.BACKGROUNDPrevious studies suggest that the nose/throat microbiome may play an important role in shaping host immunity and modifying the risk of respiratory infection. Our aim is to quantify the association between the nose/throat microbiome and susceptibility to influenza virus infection.In this household transmission study, index cases with confirmed influenza virus infection and their household contacts were followed for 9-12 days to identify secondary influenza infections. Respiratory swabs were collected at enrollment to identify and quantify bacterial species via high-performance sequencing. Data were analyzed by an individual hazard-based transmission model that was adjusted for age, vaccination, and household size.METHODSIn this household transmission study, index cases with confirmed influenza virus infection and their household contacts were followed for 9-12 days to identify secondary influenza infections. Respiratory swabs were collected at enrollment to identify and quantify bacterial species via high-performance sequencing. Data were analyzed by an individual hazard-based transmission model that was adjusted for age, vaccination, and household size.We recruited 115 index cases with influenza A(H3N2) or B infection and 436 household contacts. We estimated that a 10-fold increase in the abundance in Streptococcus spp. and Prevotella salivae was associated with 48% (95% credible interval [CrI], 9-69%) and 25% (95% CrI, 0.5-42%) lower susceptibility to influenza A(H3N2) infection, respectively. In contrast, for influenza B infection, a 10-fold increase in the abundance in Streptococcus vestibularis and Prevotella spp. was associated with 63% (95% CrI, 17-83%) lower and 83% (95% CrI, 15-210%) higher susceptibility, respectively.RESULTSWe recruited 115 index cases with influenza A(H3N2) or B infection and 436 household contacts. We estimated that a 10-fold increase in the abundance in Streptococcus spp. and Prevotella salivae was associated with 48% (95% credible interval [CrI], 9-69%) and 25% (95% CrI, 0.5-42%) lower susceptibility to influenza A(H3N2) infection, respectively. In contrast, for influenza B infection, a 10-fold increase in the abundance in Streptococcus vestibularis and Prevotella spp. was associated with 63% (95% CrI, 17-83%) lower and 83% (95% CrI, 15-210%) higher susceptibility, respectively.Susceptibility to influenza infection is associated with the nose/throat microbiome at the time of exposure. The effects of oligotypes on susceptibility differ between influenza A(H3N2) and B viruses. Our results suggest that microbiome may be a useful predictor of susceptibility, with the implication that microbiome could be modulated to reduce influenza infection risk, should these associations be causal.CONCLUSIONSSusceptibility to influenza infection is associated with the nose/throat microbiome at the time of exposure. The effects of oligotypes on susceptibility differ between influenza A(H3N2) and B viruses. Our results suggest that microbiome may be a useful predictor of susceptibility, with the implication that microbiome could be modulated to reduce influenza infection risk, should these associations be causal. Previous studies suggest that the nose/throat microbiome may play an important role in shaping host immunity and modifying the risk of respiratory infection. Our aim is to quantify the association between the nose/throat microbiome and susceptibility to influenza virus infection. In this household transmission study, index cases with confirmed influenza virus infection and their household contacts were followed for 9-12 days to identify secondary influenza infections. Respiratory swabs were collected at enrollment to identify and quantify bacterial species via high-performance sequencing. Data were analyzed by an individual hazard-based transmission model that was adjusted for age, vaccination, and household size. We recruited 115 index cases with influenza A(H3N2) or B infection and 436 household contacts. We estimated that a 10-fold increase in the abundance in Streptococcus spp. and Prevotella salivae was associated with 48% (95% credible interval [CrI], 9-69%) and 25% (95% CrI, 0.5-42%) lower susceptibility to influenza A(H3N2) infection, respectively. In contrast, for influenza B infection, a 10-fold increase in the abundance in Streptococcus vestibularis and Prevotella spp. was associated with 63% (95% CrI, 17-83%) lower and 83% (95% CrI, 15-210%) higher susceptibility, respectively. Susceptibility to influenza infection is associated with the nose/throat microbiome at the time of exposure. The effects of oligotypes on susceptibility differ between influenza A(H3N2) and B viruses. Our results suggest that microbiome may be a useful predictor of susceptibility, with the implication that microbiome could be modulated to reduce influenza infection risk, should these associations be causal. Abstract Background Previous studies suggest that the nose/throat microbiome may play an important role in shaping host immunity and modifying the risk of respiratory infection. Our aim is to quantify the association between the nose/throat microbiome and susceptibility to influenza virus infection. Methods In this household transmission study, index cases with confirmed influenza virus infection and their household contacts were followed for 9–12 days to identify secondary influenza infections. Respiratory swabs were collected at enrollment to identify and quantify bacterial species via high-performance sequencing. Data were analyzed by an individual hazard-based transmission model that was adjusted for age, vaccination, and household size. Results We recruited 115 index cases with influenza A(H3N2) or B infection and 436 household contacts. We estimated that a 10-fold increase in the abundance in Streptococcus spp. and Prevotella salivae was associated with 48% (95% credible interval [CrI], 9–69%) and 25% (95% CrI, 0.5–42%) lower susceptibility to influenza A(H3N2) infection, respectively. In contrast, for influenza B infection, a 10-fold increase in the abundance in Streptococcus vestibularis and Prevotella spp. was associated with 63% (95% CrI, 17–83%) lower and 83% (95% CrI, 15–210%) higher susceptibility, respectively. Conclusions Susceptibility to influenza infection is associated with the nose/throat microbiome at the time of exposure. The effects of oligotypes on susceptibility differ between influenza A(H3N2) and B viruses. Our results suggest that microbiome may be a useful predictor of susceptibility, with the implication that microbiome could be modulated to reduce influenza infection risk, should these associations be causal. The upper respiratory microbiome may play a role in susceptibility to influenza virus. This study examines the role of the nose/throat microbiome on influenza infection using a household influenza transmission study. |
Author | Ojeda, Sergio Sanchez, Nery Lee, Kyu Han Kuan, Guillermina Gordon, Aubree Foxman, Betsy Gresh, Lionel Balmaseda, Angel Tsang, Tim K Lopez, Roger Yang, Yang |
AuthorAffiliation | 5 Emerging Pathogens Institute, University of Florida , Gainesville, Florida, USA 4 Laboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health , Managua, Nicaragua 6 Centro de Salud Sócrates Flores Vivas, Ministry of Health , Managua, Nicaragua 3 Sustainable Sciences Institute , Managua, Nicaragua 1 Department of Biostatistics, University of Florida , Gainesville, Florida, USA 2 Department of Epidemiology, School of Public Health, University of Michigan , Ann Arbor, Michigan, USA |
AuthorAffiliation_xml | – name: 6 Centro de Salud Sócrates Flores Vivas, Ministry of Health , Managua, Nicaragua – name: 4 Laboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health , Managua, Nicaragua – name: 1 Department of Biostatistics, University of Florida , Gainesville, Florida, USA – name: 5 Emerging Pathogens Institute, University of Florida , Gainesville, Florida, USA – name: 3 Sustainable Sciences Institute , Managua, Nicaragua – name: 2 Department of Epidemiology, School of Public Health, University of Michigan , Ann Arbor, Michigan, USA |
Author_xml | – sequence: 1 givenname: Tim K surname: Tsang fullname: Tsang, Tim K organization: Department of Biostatistics, University of Florida, Gainesville, Florida, USA – sequence: 2 givenname: Kyu Han surname: Lee fullname: Lee, Kyu Han organization: Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA – sequence: 3 givenname: Betsy surname: Foxman fullname: Foxman, Betsy organization: Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA – sequence: 4 givenname: Angel surname: Balmaseda fullname: Balmaseda, Angel organization: Sustainable Sciences Institute, Managua, Nicaragua – sequence: 5 givenname: Lionel surname: Gresh fullname: Gresh, Lionel organization: Sustainable Sciences Institute, Managua, Nicaragua – sequence: 6 givenname: Nery surname: Sanchez fullname: Sanchez, Nery organization: Sustainable Sciences Institute, Managua, Nicaragua – sequence: 7 givenname: Sergio surname: Ojeda fullname: Ojeda, Sergio organization: Sustainable Sciences Institute, Managua, Nicaragua – sequence: 8 givenname: Roger surname: Lopez fullname: Lopez, Roger organization: Sustainable Sciences Institute, Managua, Nicaragua – sequence: 9 givenname: Yang surname: Yang fullname: Yang, Yang organization: Department of Biostatistics, University of Florida, Gainesville, Florida, USA – sequence: 10 givenname: Guillermina surname: Kuan fullname: Kuan, Guillermina organization: Centro de Salud Sócrates Flores Vivas, Ministry of Health, Managua, Nicaragua – sequence: 11 givenname: Aubree surname: Gordon fullname: Gordon, Aubree email: gordonal@umich.edu organization: Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31562814$$D View this record in MEDLINE/PubMed |
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Background
Previous studies suggest that the nose/throat microbiome may play an important role in shaping host immunity and modifying the risk of... Previous studies suggest that the nose/throat microbiome may play an important role in shaping host immunity and modifying the risk of respiratory infection.... The upper respiratory microbiome may play a role in susceptibility to influenza virus. This study examines the role of the nose/throat microbiome on influenza... |
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SubjectTerms | and Commentaries Family Characteristics Humans Influenza A Virus, H3N2 Subtype Influenza, Human Microbiota Prevotella Streptococcus |
Title | Association Between the Respiratory Microbiome and Susceptibility to Influenza Virus Infection |
URI | https://www.ncbi.nlm.nih.gov/pubmed/31562814 https://www.proquest.com/docview/2299143393 https://pubmed.ncbi.nlm.nih.gov/PMC7442850 |
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