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Article: Association Between the Respiratory Microbiome and Susceptibility to Influenza Virus Infection

TitleAssociation Between the Respiratory Microbiome and Susceptibility to Influenza Virus Infection
Authors
Keywordsinfluenza
microbiome
susceptibility
transmission
Issue Date2020
PublisherOxford University Press. The Journal's web site is located at http://www.oxfordjournals.org/our_journals/cid/
Citation
Clinical Infectious Diseases, 2020, v. 71 n. 5, p. 1195-1203 How to Cite?
AbstractBackground: 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.
Persistent Identifierhttp://hdl.handle.net/10722/289245
ISSN
2019 Impact Factor: 8.313
2015 SCImago Journal Rankings: 4.742
PubMed Central ID

 

DC FieldValueLanguage
dc.contributor.authorTsang, TK-
dc.contributor.authorLee, KH-
dc.contributor.authorFoxman, B-
dc.contributor.authorBalmaseda, A-
dc.contributor.authorGresh, L-
dc.contributor.authorSanchez, N-
dc.contributor.authorOjeda, S-
dc.contributor.authorLopez, R-
dc.contributor.authorYang, Y-
dc.contributor.authorKuan, G-
dc.contributor.authorGordon, A-
dc.date.accessioned2020-10-22T08:09:55Z-
dc.date.available2020-10-22T08:09:55Z-
dc.date.issued2020-
dc.identifier.citationClinical Infectious Diseases, 2020, v. 71 n. 5, p. 1195-1203-
dc.identifier.issn1058-4838-
dc.identifier.urihttp://hdl.handle.net/10722/289245-
dc.description.abstractBackground: 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.-
dc.languageeng-
dc.publisherOxford University Press. The Journal's web site is located at http://www.oxfordjournals.org/our_journals/cid/-
dc.relation.ispartofClinical Infectious Diseases-
dc.rightsPre-print: Journal Title] ©: [year] [owner as specified on the article] Published by Oxford University Press [on behalf of xxxxxx]. All rights reserved. Pre-print (Once an article is published, preprint notice should be amended to): This is an electronic version of an article published in [include the complete citation information for the final version of the Article as published in the print edition of the Journal.] Post-print: This is a pre-copy-editing, author-produced PDF of an article accepted for publication in [insert journal title] following peer review. The definitive publisher-authenticated version [insert complete citation information here] is available online at: xxxxxxx [insert URL that the author will receive upon publication here]. -
dc.subjectinfluenza-
dc.subjectmicrobiome-
dc.subjectsusceptibility-
dc.subjecttransmission-
dc.titleAssociation Between the Respiratory Microbiome and Susceptibility to Influenza Virus Infection-
dc.typeArticle-
dc.identifier.emailTsang, TK: matklab@hku.hk-
dc.identifier.authorityTsang, TK=rp02571-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1093/cid/ciz968-
dc.identifier.pmid31562814-
dc.identifier.pmcidPMC7442850-
dc.identifier.scopuseid_2-s2.0-85076523957-
dc.identifier.hkuros317299-
dc.identifier.volume71-
dc.identifier.issue5-
dc.identifier.spage1195-
dc.identifier.epage1203-
dc.publisher.placeUnited States-

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