The association between anterior nares and nasopharyngeal microbiota in infants hospitalized for bronchiolitis
The airway microbiome is a subject of great interest for the study of respiratory disease. Anterior nare samples are more accessible than samples from deeper within the nasopharynx. However, the correlation between the microbiota found in the anterior nares and the microbiota found within the nasoph...
Saved in:
Published in | Microbiome Vol. 6; no. 1; pp. 2 - 14 |
---|---|
Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central Ltd
03.01.2018
BioMed Central BMC |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | The airway microbiome is a subject of great interest for the study of respiratory disease. Anterior nare samples are more accessible than samples from deeper within the nasopharynx. However, the correlation between the microbiota found in the anterior nares and the microbiota found within the nasopharynx is unknown. We assessed the anterior nares and nasopharyngeal microbiota to determine (1) the relation of the microbiota from these two upper airway sites and (2) if associations were maintained between the microbiota from these two sites and two bronchiolitis severity outcomes.
Among 815 infants hospitalized at 17 US centers for bronchiolitis with optimal 16S rRNA gene sequence reads from both nasal swab and nasopharyngeal aspirate samples, there were strong intra-individual correlations in the microbial communities between the two sample types, especially relating to Haemophilus and Moraxella genera. By contrast, we found a high abundance of Staphylococcus genus in the nasal swabs-a pattern not found in the nasopharyngeal samples and not informative when predicting the dominant nasopharyngeal genera. While these disparities may have been due to sample processing differences (i.e., nasal swabs were mailed at ambient temperature to emulate processing of future parent collected swabs while nasopharyngeal aspirates were mailed on dry ice), a previously reported association between Haemophilus-dominant nasopharyngeal microbiota and the increased severity of bronchiolitis was replicated utilizing the nasal swab microbiota and the same outcome measures: intensive care use (adjusted OR 6.43; 95% CI 2.25-20.51; P < 0.001) and hospital length-of-stay (adjusted OR 4.31; 95% CI, 1.73-11.11; P = 0.002). Additionally, Moraxella-dominant nasopharyngeal microbiota was previously identified as protective against intensive care use, a result that was replicated when analyzing the nasal swab microbiota (adjusted OR 0.30; 95% CI, 0.11-0.64; P = 0.01).
While the microbiota of the anterior nares and the nasopharynx are distinct, there is considerable overlap between the bacterial community compositions from these two anatomic sites. Despite processing differences between the samples, these results indicate that microbiota severity associations from the nasopharynx are recapitulated in the anterior nares, suggesting that nasal swab samples not only are effective sample types, but also can be used to detect microbial risk markers. |
---|---|
AbstractList | Abstract Background The airway microbiome is a subject of great interest for the study of respiratory disease. Anterior nare samples are more accessible than samples from deeper within the nasopharynx. However, the correlation between the microbiota found in the anterior nares and the microbiota found within the nasopharynx is unknown. We assessed the anterior nares and nasopharyngeal microbiota to determine (1) the relation of the microbiota from these two upper airway sites and (2) if associations were maintained between the microbiota from these two sites and two bronchiolitis severity outcomes. Results Among 815 infants hospitalized at 17 US centers for bronchiolitis with optimal 16S rRNA gene sequence reads from both nasal swab and nasopharyngeal aspirate samples, there were strong intra-individual correlations in the microbial communities between the two sample types, especially relating to Haemophilus and Moraxella genera. By contrast, we found a high abundance of Staphylococcus genus in the nasal swabs—a pattern not found in the nasopharyngeal samples and not informative when predicting the dominant nasopharyngeal genera. While these disparities may have been due to sample processing differences (i.e., nasal swabs were mailed at ambient temperature to emulate processing of future parent collected swabs while nasopharyngeal aspirates were mailed on dry ice), a previously reported association between Haemophilus-dominant nasopharyngeal microbiota and the increased severity of bronchiolitis was replicated utilizing the nasal swab microbiota and the same outcome measures: intensive care use (adjusted OR 6.43; 95% CI 2.25–20.51; P < 0.001) and hospital length-of-stay (adjusted OR 4.31; 95% CI, 1.73–11.11; P = 0.002). Additionally, Moraxella-dominant nasopharyngeal microbiota was previously identified as protective against intensive care use, a result that was replicated when analyzing the nasal swab microbiota (adjusted OR 0.30; 95% CI, 0.11–0.64; P = 0.01). Conclusions While the microbiota of the anterior nares and the nasopharynx are distinct, there is considerable overlap between the bacterial community compositions from these two anatomic sites. Despite processing differences between the samples, these results indicate that microbiota severity associations from the nasopharynx are recapitulated in the anterior nares, suggesting that nasal swab samples not only are effective sample types, but also can be used to detect microbial risk markers. The airway microbiome is a subject of great interest for the study of respiratory disease. Anterior nare samples are more accessible than samples from deeper within the nasopharynx. However, the correlation between the microbiota found in the anterior nares and the microbiota found within the nasopharynx is unknown. We assessed the anterior nares and nasopharyngeal microbiota to determine (1) the relation of the microbiota from these two upper airway sites and (2) if associations were maintained between the microbiota from these two sites and two bronchiolitis severity outcomes.BACKGROUNDThe airway microbiome is a subject of great interest for the study of respiratory disease. Anterior nare samples are more accessible than samples from deeper within the nasopharynx. However, the correlation between the microbiota found in the anterior nares and the microbiota found within the nasopharynx is unknown. We assessed the anterior nares and nasopharyngeal microbiota to determine (1) the relation of the microbiota from these two upper airway sites and (2) if associations were maintained between the microbiota from these two sites and two bronchiolitis severity outcomes.Among 815 infants hospitalized at 17 US centers for bronchiolitis with optimal 16S rRNA gene sequence reads from both nasal swab and nasopharyngeal aspirate samples, there were strong intra-individual correlations in the microbial communities between the two sample types, especially relating to Haemophilus and Moraxella genera. By contrast, we found a high abundance of Staphylococcus genus in the nasal swabs-a pattern not found in the nasopharyngeal samples and not informative when predicting the dominant nasopharyngeal genera. While these disparities may have been due to sample processing differences (i.e., nasal swabs were mailed at ambient temperature to emulate processing of future parent collected swabs while nasopharyngeal aspirates were mailed on dry ice), a previously reported association between Haemophilus-dominant nasopharyngeal microbiota and the increased severity of bronchiolitis was replicated utilizing the nasal swab microbiota and the same outcome measures: intensive care use (adjusted OR 6.43; 95% CI 2.25-20.51; P < 0.001) and hospital length-of-stay (adjusted OR 4.31; 95% CI, 1.73-11.11; P = 0.002). Additionally, Moraxella-dominant nasopharyngeal microbiota was previously identified as protective against intensive care use, a result that was replicated when analyzing the nasal swab microbiota (adjusted OR 0.30; 95% CI, 0.11-0.64; P = 0.01).RESULTSAmong 815 infants hospitalized at 17 US centers for bronchiolitis with optimal 16S rRNA gene sequence reads from both nasal swab and nasopharyngeal aspirate samples, there were strong intra-individual correlations in the microbial communities between the two sample types, especially relating to Haemophilus and Moraxella genera. By contrast, we found a high abundance of Staphylococcus genus in the nasal swabs-a pattern not found in the nasopharyngeal samples and not informative when predicting the dominant nasopharyngeal genera. While these disparities may have been due to sample processing differences (i.e., nasal swabs were mailed at ambient temperature to emulate processing of future parent collected swabs while nasopharyngeal aspirates were mailed on dry ice), a previously reported association between Haemophilus-dominant nasopharyngeal microbiota and the increased severity of bronchiolitis was replicated utilizing the nasal swab microbiota and the same outcome measures: intensive care use (adjusted OR 6.43; 95% CI 2.25-20.51; P < 0.001) and hospital length-of-stay (adjusted OR 4.31; 95% CI, 1.73-11.11; P = 0.002). Additionally, Moraxella-dominant nasopharyngeal microbiota was previously identified as protective against intensive care use, a result that was replicated when analyzing the nasal swab microbiota (adjusted OR 0.30; 95% CI, 0.11-0.64; P = 0.01).While the microbiota of the anterior nares and the nasopharynx are distinct, there is considerable overlap between the bacterial community compositions from these two anatomic sites. Despite processing differences between the samples, these results indicate that microbiota severity associations from the nasopharynx are recapitulated in the anterior nares, suggesting that nasal swab samples not only are effective sample types, but also can be used to detect microbial risk markers.CONCLUSIONSWhile the microbiota of the anterior nares and the nasopharynx are distinct, there is considerable overlap between the bacterial community compositions from these two anatomic sites. Despite processing differences between the samples, these results indicate that microbiota severity associations from the nasopharynx are recapitulated in the anterior nares, suggesting that nasal swab samples not only are effective sample types, but also can be used to detect microbial risk markers. The airway microbiome is a subject of great interest for the study of respiratory disease. Anterior nare samples are more accessible than samples from deeper within the nasopharynx. However, the correlation between the microbiota found in the anterior nares and the microbiota found within the nasopharynx is unknown. We assessed the anterior nares and nasopharyngeal microbiota to determine (1) the relation of the microbiota from these two upper airway sites and (2) if associations were maintained between the microbiota from these two sites and two bronchiolitis severity outcomes. Among 815 infants hospitalized at 17 US centers for bronchiolitis with optimal 16S rRNA gene sequence reads from both nasal swab and nasopharyngeal aspirate samples, there were strong intra-individual correlations in the microbial communities between the two sample types, especially relating to Haemophilus and Moraxella genera. By contrast, we found a high abundance of Staphylococcus genus in the nasal swabs-a pattern not found in the nasopharyngeal samples and not informative when predicting the dominant nasopharyngeal genera. While these disparities may have been due to sample processing differences (i.e., nasal swabs were mailed at ambient temperature to emulate processing of future parent collected swabs while nasopharyngeal aspirates were mailed on dry ice), a previously reported association between Haemophilus-dominant nasopharyngeal microbiota and the increased severity of bronchiolitis was replicated utilizing the nasal swab microbiota and the same outcome measures: intensive care use (adjusted OR 6.43; 95% CI 2.25-20.51; P < 0.001) and hospital length-of-stay (adjusted OR 4.31; 95% CI, 1.73-11.11; P = 0.002). Additionally, Moraxella-dominant nasopharyngeal microbiota was previously identified as protective against intensive care use, a result that was replicated when analyzing the nasal swab microbiota (adjusted OR 0.30; 95% CI, 0.11-0.64; P = 0.01). While the microbiota of the anterior nares and the nasopharynx are distinct, there is considerable overlap between the bacterial community compositions from these two anatomic sites. Despite processing differences between the samples, these results indicate that microbiota severity associations from the nasopharynx are recapitulated in the anterior nares, suggesting that nasal swab samples not only are effective sample types, but also can be used to detect microbial risk markers. |
ArticleNumber | 2 |
Audience | Academic |
Author | Sullivan, Ashley F. Ajami, Nadim J. Camargo, Carlos A. Henke, David M. Hasegawa, Kohei Piedra, Pedro A. Mansbach, Jonathan M. Espinola, Janice A. Shaw, Chad A. Luna, Pamela N. Petrosino, Joseph F. |
Author_xml | – sequence: 1 givenname: Pamela N. surname: Luna fullname: Luna, Pamela N. – sequence: 2 givenname: Kohei surname: Hasegawa fullname: Hasegawa, Kohei – sequence: 3 givenname: Nadim J. surname: Ajami fullname: Ajami, Nadim J. – sequence: 4 givenname: Janice A. surname: Espinola fullname: Espinola, Janice A. – sequence: 5 givenname: David M. surname: Henke fullname: Henke, David M. – sequence: 6 givenname: Joseph F. surname: Petrosino fullname: Petrosino, Joseph F. – sequence: 7 givenname: Pedro A. surname: Piedra fullname: Piedra, Pedro A. – sequence: 8 givenname: Ashley F. surname: Sullivan fullname: Sullivan, Ashley F. – sequence: 9 givenname: Carlos A. surname: Camargo fullname: Camargo, Carlos A. – sequence: 10 givenname: Chad A. surname: Shaw fullname: Shaw, Chad A. – sequence: 11 givenname: Jonathan M. surname: Mansbach fullname: Mansbach, Jonathan M. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29298732$$D View this record in MEDLINE/PubMed |
BookMark | eNp9kktv1DAUhSNURMvQH8AGRWIDixS_kjgbpKriUakSEpS1de3czLjK2IPt4fXrucOUqoMQSeT48Z2ja_s8ro5CDFhVTzk741x3r7JivNMN433DpG4b9qA6EUwNjei4PrrXP65Oc75h9Axc9Uo_qo7FIAbdS3FShesV1pBzdB6Kj6G2WL4hhhpCweRjqgMkzDQcqZfjZgXpR1gizPXauxStjwVqH-ibSJLrVcwbX2D2P3GsJ9LbFINb-Tj74vOT6uEEc8bT2_-i-vz2zfXF--bqw7vLi_OrxrVdVxrFUY2SCZxaaaWelOtAjmpkg5NSoQIOWippNWgA3tpJDh3YVvcW2wmslIvqcu87Rrgxm-TXVLaJ4M3viZiWBlLxbkbTwSS4GFsYHCjWDjBoYa102uEwSa7I6_Xea7O1axwdhpJgPjA9XAl-ZZbxq2n7lmuhyeDFrUGKX7aYi1n77HCeIWDcZsMHrQhV3Q59vkeXQKXRmUZydDvcnLeCS8l70RF19g-K3hHpUigmk6f5A8HLAwExBb-XJWxzNpefPh6yz-5v926ffzJDAN8DdP05J5zuEM7MLppmH01D0TS7aFKzqPq_NI5CsgscVe7n_yh_AWVL6LQ |
CitedBy_id | crossref_primary_10_1099_jmm_0_001368 crossref_primary_10_1016_S2213_2600_18_30449_1 crossref_primary_10_3389_fped_2020_00528 crossref_primary_10_1136_bmjopen_2021_056081 crossref_primary_10_3390_pathogens10111515 crossref_primary_10_1177_00368504251320832 crossref_primary_10_3390_ijerph20105903 crossref_primary_10_1183_13993003_00502_2023 crossref_primary_10_3390_ijerph16203888 crossref_primary_10_1128_mSphere_00852_20 crossref_primary_10_1371_journal_pone_0261179 crossref_primary_10_1002_ppul_24183 crossref_primary_10_3345_cep_2020_01452 crossref_primary_10_3390_jpm13111583 crossref_primary_10_1128_spectrum_03441_23 crossref_primary_10_2217_fmb_2018_0349 crossref_primary_10_3390_cells11081287 crossref_primary_10_1177_10815589241249993 crossref_primary_10_1513_AnnalsATS_202110_1152OC crossref_primary_10_1097_QCO_0000000000000691 crossref_primary_10_1080_17476348_2021_1893168 crossref_primary_10_1152_physrev_00020_2023 crossref_primary_10_1155_2018_2724951 crossref_primary_10_1186_s40348_021_00130_y crossref_primary_10_3390_cells11193155 crossref_primary_10_3390_ijms19020383 crossref_primary_10_1186_s40168_023_01563_5 crossref_primary_10_1002_ppul_24231 crossref_primary_10_3389_frmbi_2023_1231271 crossref_primary_10_1186_s40168_023_01499_w crossref_primary_10_3390_medicina57080823 crossref_primary_10_3390_medicina60111808 crossref_primary_10_1155_2018_6362716 crossref_primary_10_1038_s41598_023_34730_7 crossref_primary_10_3390_diagnostics13121984 crossref_primary_10_1038_s41467_019_12989_7 crossref_primary_10_1093_infdis_jiy741 crossref_primary_10_1186_s12915_019_0703_z crossref_primary_10_1038_s41390_025_03942_0 crossref_primary_10_1371_journal_pcbi_1008473 crossref_primary_10_1093_jpids_piy136 crossref_primary_10_1016_j_jaci_2024_01_010 crossref_primary_10_1038_s41598_024_84682_9 crossref_primary_10_1001_jamanetworkopen_2019_7100 crossref_primary_10_1016_j_jaci_2019_10_034 crossref_primary_10_1186_s12866_024_03294_5 crossref_primary_10_1371_journal_pone_0265326 crossref_primary_10_1111_pai_14095 crossref_primary_10_4103_JTCCM_D_22_00013 crossref_primary_10_3389_fmicb_2021_711134 crossref_primary_10_3389_fcimb_2022_1013920 |
Cites_doi | 10.1371/journal.pcbi.1002606 10.2500/ajr.2007.21.3101 10.1183/13993003.00152-2016 10.1016/j.jcv.2011.07.015 10.1016/j.chom.2013.11.005 10.1089/omi.2009.0100 10.1016/j.chom.2015.03.008 10.1093/infdis/jiu658 10.1128/JCM.40.11.4337-4339.2002 10.1513/AnnalsATS.201306-158MG 10.1371/journal.pone.0131819 10.1038/ismej.2010.133 10.1038/ismej.2010.15 10.1542/peds.2014-2742 10.1136/bmjopen-2012-002134 10.1371/journal.pone.0126685 10.1128/JCM.03280-13 10.1038/ismej.2012.8 10.1111/1467-9868.00293 10.1128/mBio.00037-15 10.1371/journal.ppat.1004923 10.1164/rccm.201509-1759OC 10.1056/NEJMoa052632 10.1128/mBio.00245-10 10.1016/j.jaci.2016.05.050. 10.1038/nmeth.2604 10.1128/AEM.71.12.8228-8235.2005 10.3389/fmicb.2015.00134 10.1093/nar/gks1219 10.1186/s40168-016-0170-5 10.1093/ofid/ofw172.526 10.1128/AEM.01051-12 10.1371/journal.pone.0009385 10.1164/rccm.201407-1240OC 10.1007/978-94-009-4109-0 10.1371/journal.pone.0008578 10.1097/INF.0000000000001500 10.1016/j.jaci.2015.05.044 10.1164/rccm.201104-0655OC 10.1093/bioinformatics/btq461 10.1128/JCM.00767-12 10.1371/journal.pone.0010598 10.1093/bioinformatics/btv401 10.1038/srep16350 10.1164/rccm.201302-0215OC 10.1186/s40168-016-0182-1 10.1186/1471-2334-14-15 10.1164/rccm.200407-970OC 10.1016/0377-0427(87)90125-7 10.1016/j.jaci.2016.01.036 10.1371/journal.pone.0047305 |
ContentType | Journal Article |
Copyright | COPYRIGHT 2018 BioMed Central Ltd. The Author(s). 2018 |
Copyright_xml | – notice: COPYRIGHT 2018 BioMed Central Ltd. – notice: The Author(s). 2018 |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM ISR 7X8 5PM DOA |
DOI | 10.1186/s40168-017-0385-0 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Science MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic MEDLINE |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Biology |
EISSN | 2049-2618 |
EndPage | 14 |
ExternalDocumentID | oai_doaj_org_article_6af212d5a9ca4059a982bb3c8ce9f314 PMC5751828 A521331726 29298732 10_1186_s40168_017_0385_0 |
Genre | Multicenter Study Journal Article Research Support, N.I.H., Extramural |
GrantInformation_xml | – fundername: NIH HHS grantid: R01 AI-114552 – fundername: NIAID NIH HHS grantid: R01 AI114552 – fundername: NIH HHS grantid: UG3 OD023253 – fundername: NIAID NIH HHS grantid: R01 AI108588 – fundername: NIH HHS grantid: U01 AI-087881 – fundername: NIAID NIH HHS grantid: U01 AI087881 – fundername: NIH HHS grantid: R01 AI-108588 – fundername: NIH HHS grantid: UG3 OD-023253 – fundername: ; grantid: U01 AI-087881; R01 AI-114552; R01 AI-108588; UG3 OD-023253 |
GroupedDBID | 0R~ 53G 5VS 7X7 88E 8FE 8FH 8FI 8FJ AAFWJ AAHBH AAJSJ AASML AAYXX ABUWG ACGFS ADBBV ADRAZ ADUKV AENEX AFKRA AFPKN AHBYD AHYZX ALIPV ALMA_UNASSIGNED_HOLDINGS AMKLP AOIJS ASPBG BAWUL BBNVY BCNDV BENPR BFQNJ BHPHI BMC BPHCQ BVXVI C6C CCPQU CITATION DIK EBLON EBS EJD FYUFA GROUPED_DOAJ GX1 H13 HCIFZ HMCUK HYE IAG IAO IEP IHR INH INR ISR ITC KQ8 LK8 M1P M48 M7P M~E OK1 PGMZT PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO RBZ ROL RPM RSV SOJ UKHRP CGR CUY CVF ECM EIF NPM PMFND 7X8 PPXIY PQGLB 5PM PJZUB PUEGO |
ID | FETCH-LOGICAL-c566t-41e4d302ef53b38f4c6a3d4d09c334e4a1a8343b8a8aa15bf396ab587be5fab33 |
IEDL.DBID | M48 |
ISSN | 2049-2618 |
IngestDate | Wed Aug 27 01:28:29 EDT 2025 Thu Aug 21 18:23:45 EDT 2025 Fri Jul 11 04:18:09 EDT 2025 Tue Jun 17 21:55:31 EDT 2025 Tue Jun 10 20:34:50 EDT 2025 Fri Jun 27 04:42:33 EDT 2025 Thu Apr 03 06:55:30 EDT 2025 Thu Apr 24 22:59:04 EDT 2025 Tue Jul 01 04:16:34 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Keywords | Anterior nares Microbiota Nasopharynx Asthma Bronchiolitis |
Language | English |
License | Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c566t-41e4d302ef53b38f4c6a3d4d09c334e4a1a8343b8a8aa15bf396ab587be5fab33 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1186/s40168-017-0385-0 |
PMID | 29298732 |
PQID | 1984751468 |
PQPubID | 23479 |
PageCount | 14 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_6af212d5a9ca4059a982bb3c8ce9f314 pubmedcentral_primary_oai_pubmedcentral_nih_gov_5751828 proquest_miscellaneous_1984751468 gale_infotracmisc_A521331726 gale_infotracacademiconefile_A521331726 gale_incontextgauss_ISR_A521331726 pubmed_primary_29298732 crossref_primary_10_1186_s40168_017_0385_0 crossref_citationtrail_10_1186_s40168_017_0385_0 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2018-01-03 |
PublicationDateYYYYMMDD | 2018-01-03 |
PublicationDate_xml | – month: 01 year: 2018 text: 2018-01-03 day: 03 |
PublicationDecade | 2010 |
PublicationPlace | England |
PublicationPlace_xml | – name: England – name: London |
PublicationTitle | Microbiome |
PublicationTitleAlternate | Microbiome |
PublicationYear | 2018 |
Publisher | BioMed Central Ltd BioMed Central BMC |
Publisher_xml | – name: BioMed Central Ltd – name: BioMed Central – name: BMC |
References | M Perez-Losada (385_CR6) 2015; 10 K Biswas (385_CR37) 2015; 9 RL Marsh (385_CR16) 2016; 4 AN Alsaleh (385_CR47) 2014; 14 K Hasegawa (385_CR21) 2016; 48 YJ Huang (385_CR11) 2010; 14 AS Laufer (385_CR13) 2011; 2 RP Dickson (385_CR19) 2015; 11 SV Lynch (385_CR41) 2014; 11 385_CR42 M Pérez-Losada (385_CR7) 2016; 4 JH Wang (385_CR40) 2007; 21 AJ Blaschke (385_CR53) 2011; 52 SM Teo (385_CR8) 2015; 17 E Castro-Nallar (385_CR3) 2015; 8 385_CR46 NH Vissing (385_CR1) 2013; 188 385_CR48 YJ Huang (385_CR5) 2015; 136 ES Charlson (385_CR15) 2011; 184 K Faust (385_CR34) 2012; 8 ML Wos-Oxley (385_CR39) 2010; 4 JM Choo (385_CR44) 2015; 5 AA Pragman (385_CR12) 2012; 7 DI Tedjo (385_CR45) 2015; 10 BA van Cleef (385_CR50) 2010; 5 H Bisgaard (385_CR43) 2007; 357 JM Mansbach (385_CR51) 2016; 137 AG Mosser (385_CR17) 2005; 171 R Cabrera-Rubio (385_CR10) 2012; 50 C Lozupone (385_CR31) 2005; 71 MM Pettigrew (385_CR14) 2012; 78 SL Ralston (385_CR23) 2014; 134 M Hilty (385_CR4) 2010; 5 M Yan (385_CR20) 2013; 14 RC Edgar (385_CR29) 2013; 10 G Biesbroek (385_CR54) 2014; 190 C Quast (385_CR30) 2013; 41 385_CR9 JG Caporaso (385_CR26) 2012; 6 RC Edgar (385_CR27) 2010; 26 O Sakwinska (385_CR2) 2014; 52 385_CR25 C Lozupone (385_CR32) 2011; 5 T Heikkinen (385_CR52) 2002; 40 DN Frank (385_CR38) 2010; 5 RC Edgar (385_CR28) 2015; 31 K Hasegawa (385_CR24) 2015; 211 CM Bassis (385_CR18) 2015; 6 R Tibshirani (385_CR36) 2001; 63 CY Vargas (385_CR49) 2016; 8 SM Prevaes (385_CR22) 2016; 193 PJ Rousseeuw (385_CR35) 1987; 20 385_CR33 |
References_xml | – volume: 8 start-page: e1002606 year: 2012 ident: 385_CR34 publication-title: PLoS Comput Biol doi: 10.1371/journal.pcbi.1002606 – volume: 21 start-page: 670 year: 2007 ident: 385_CR40 publication-title: Am J Rhinol doi: 10.2500/ajr.2007.21.3101 – volume: 48 start-page: 1329 year: 2016 ident: 385_CR21 publication-title: Eur Respir J doi: 10.1183/13993003.00152-2016 – volume: 52 start-page: 210 year: 2011 ident: 385_CR53 publication-title: J Clin Virol doi: 10.1016/j.jcv.2011.07.015 – volume: 14 start-page: 631 year: 2013 ident: 385_CR20 publication-title: Cell Host Microbe doi: 10.1016/j.chom.2013.11.005 – volume: 14 start-page: 9 year: 2010 ident: 385_CR11 publication-title: OMICS doi: 10.1089/omi.2009.0100 – volume: 17 start-page: 704 year: 2015 ident: 385_CR8 publication-title: Cell Host Microbe doi: 10.1016/j.chom.2015.03.008 – volume: 211 start-page: 1550 year: 2015 ident: 385_CR24 publication-title: J Infect Dis doi: 10.1093/infdis/jiu658 – volume: 40 start-page: 4337 year: 2002 ident: 385_CR52 publication-title: J Clin Microbiol doi: 10.1128/JCM.40.11.4337-4339.2002 – volume: 11 start-page: S57 issue: Suppl 1 year: 2014 ident: 385_CR41 publication-title: Ann Am Thorac Soc doi: 10.1513/AnnalsATS.201306-158MG – volume: 10 start-page: e0131819 year: 2015 ident: 385_CR6 publication-title: PLoS One doi: 10.1371/journal.pone.0131819 – volume: 5 start-page: 169 year: 2011 ident: 385_CR32 publication-title: ISME J doi: 10.1038/ismej.2010.133 – volume: 4 start-page: 839 year: 2010 ident: 385_CR39 publication-title: ISME J doi: 10.1038/ismej.2010.15 – volume: 134 start-page: e1474 year: 2014 ident: 385_CR23 publication-title: Pediatrics doi: 10.1542/peds.2014-2742 – ident: 385_CR25 doi: 10.1136/bmjopen-2012-002134 – volume: 10 start-page: e0126685 year: 2015 ident: 385_CR45 publication-title: PLoS One doi: 10.1371/journal.pone.0126685 – volume: 52 start-page: 1590 year: 2014 ident: 385_CR2 publication-title: J Clin Microbiol doi: 10.1128/JCM.03280-13 – volume: 6 start-page: 1621 year: 2012 ident: 385_CR26 publication-title: ISME J doi: 10.1038/ismej.2012.8 – volume: 63 start-page: 411 year: 2001 ident: 385_CR36 publication-title: J Royal Stat Soc Ser B Stat Methodol doi: 10.1111/1467-9868.00293 – volume: 6 start-page: e00037 year: 2015 ident: 385_CR18 publication-title: MBio doi: 10.1128/mBio.00037-15 – volume: 8 start-page: 50 year: 2015 ident: 385_CR3 publication-title: BMC Med Genet – volume: 11 start-page: e1004923 year: 2015 ident: 385_CR19 publication-title: PLoS Pathog doi: 10.1371/journal.ppat.1004923 – volume: 193 start-page: 504 year: 2016 ident: 385_CR22 publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.201509-1759OC – volume: 357 start-page: 1487 year: 2007 ident: 385_CR43 publication-title: N Engl J Med doi: 10.1056/NEJMoa052632 – volume: 2 start-page: e00245 year: 2011 ident: 385_CR13 publication-title: MBio doi: 10.1128/mBio.00245-10 – ident: 385_CR9 doi: 10.1016/j.jaci.2016.05.050. – volume: 10 start-page: 996 year: 2013 ident: 385_CR29 publication-title: Nat Methods doi: 10.1038/nmeth.2604 – volume: 8 start-page: 1 year: 2016 ident: 385_CR49 publication-title: Clin Epidemiol – volume: 71 start-page: 8228 year: 2005 ident: 385_CR31 publication-title: Appl Environ Microbiol doi: 10.1128/AEM.71.12.8228-8235.2005 – volume: 9 start-page: 134 year: 2015 ident: 385_CR37 publication-title: Front Microbiol doi: 10.3389/fmicb.2015.00134 – volume: 41 start-page: D590 year: 2013 ident: 385_CR30 publication-title: Nucleic Acids Res doi: 10.1093/nar/gks1219 – volume: 4 start-page: 1 year: 2016 ident: 385_CR7 publication-title: Microbiome doi: 10.1186/s40168-016-0170-5 – ident: 385_CR48 doi: 10.1093/ofid/ofw172.526 – volume: 78 start-page: 6262 year: 2012 ident: 385_CR14 publication-title: Appl Environ Microbiol doi: 10.1128/AEM.01051-12 – volume: 5 start-page: e9385 year: 2010 ident: 385_CR50 publication-title: PLoS One doi: 10.1371/journal.pone.0009385 – ident: 385_CR46 – volume: 190 start-page: 1283 year: 2014 ident: 385_CR54 publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.201407-1240OC – ident: 385_CR33 doi: 10.1007/978-94-009-4109-0 – volume: 5 start-page: e8578 year: 2010 ident: 385_CR4 publication-title: PLoS One doi: 10.1371/journal.pone.0008578 – ident: 385_CR42 doi: 10.1097/INF.0000000000001500 – volume: 136 start-page: 874 year: 2015 ident: 385_CR5 publication-title: J Allergy Clin Immunol doi: 10.1016/j.jaci.2015.05.044 – volume: 184 start-page: 957 year: 2011 ident: 385_CR15 publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.201104-0655OC – volume: 26 start-page: 2460 year: 2010 ident: 385_CR27 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq461 – volume: 50 start-page: 3562 year: 2012 ident: 385_CR10 publication-title: J Clin Microbiol doi: 10.1128/JCM.00767-12 – volume: 5 start-page: e10598 year: 2010 ident: 385_CR38 publication-title: PLoS One doi: 10.1371/journal.pone.0010598 – volume: 31 start-page: 3476 year: 2015 ident: 385_CR28 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btv401 – volume: 5 start-page: 16350 year: 2015 ident: 385_CR44 publication-title: Sci Rep doi: 10.1038/srep16350 – volume: 188 start-page: 1246 year: 2013 ident: 385_CR1 publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.201302-0215OC – volume: 4 start-page: 37 year: 2016 ident: 385_CR16 publication-title: Microbiome doi: 10.1186/s40168-016-0182-1 – volume: 14 start-page: 15 year: 2014 ident: 385_CR47 publication-title: BMC Infect Dis doi: 10.1186/1471-2334-14-15 – volume: 171 start-page: 645 year: 2005 ident: 385_CR17 publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.200407-970OC – volume: 20 start-page: 53 year: 1987 ident: 385_CR35 publication-title: J Comput Appl Math doi: 10.1016/0377-0427(87)90125-7 – volume: 137 start-page: 1909 year: 2016 ident: 385_CR51 publication-title: J Allergy Clin Immunol doi: 10.1016/j.jaci.2016.01.036 – volume: 7 start-page: e47305 year: 2012 ident: 385_CR12 publication-title: PLoS One doi: 10.1371/journal.pone.0047305 |
SSID | ssj0000914748 |
Score | 2.3455813 |
Snippet | The airway microbiome is a subject of great interest for the study of respiratory disease. Anterior nare samples are more accessible than samples from deeper... Abstract Background The airway microbiome is a subject of great interest for the study of respiratory disease. Anterior nare samples are more accessible than... |
SourceID | doaj pubmedcentral proquest gale pubmed crossref |
SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
StartPage | 2 |
SubjectTerms | Anterior nares Asthma Bronchiolitis Bronchiolitis - microbiology DNA, Bacterial - genetics DNA, Ribosomal - genetics Female Health aspects Hospital care Hospitalization Humans Infant Infants Longitudinal Studies Male Management Microbiota Microbiota (Symbiotic organisms) Nasal Cavity - microbiology Nasopharynx Nasopharynx - microbiology Risk factors RNA, Ribosomal, 16S - genetics Sequence Analysis, DNA - methods Staphylococcus - classification Staphylococcus - genetics Staphylococcus - isolation & purification |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Pi9UwEA6yIHgRf1vdlSiCIJRtm6RNjqu4rB48qAt7C5M03VfQVF7fO6x__c6k3ecrgl6EHtpmAs3MJPnSTL5h7HUdnC86Vea-BZdL2ZjcCSmw4ykIRnld-RQg-7k-O5efLtTFXqovigmb6IEnxR3X0OHo2iowHhBcGDC6ck547YPpREphXeGct7eYSmOwKWUj9byNWer6eMSFRE1xW01Om2F5sZiIEl__n6Py3rS0DJncm4NO77G7M3jkJ9NH32e3QnzAbk_pJK8esog25_Bb33wOwuJJe_2w5pFOG-Fji3eUvwDWV_ESoSL_0U-ETBvgfcSro_AYvpqTivS_QssR3XK3HqJf9SlmbnzEzk8_fHt_ls_5FHKPoG2TyzLIVhRV6JRwQnfS1yBa2RbGCyGDhBI02slp0AClcp0wNTilGxdUB06Ix-wgDjE8ZRxfNaHxkuj3pKlKZ0qDFUARHsAqGStulGv9TDZOOS--27To0LWd7GHRHpbsYYuMvd1V-TkxbfxN-B1ZbCdIJNnpBbqOnV3H_st1MvaK7G2JBiNSnM0lbMfRfvz6xZ4gqhEIrao6Y29moW7AFniYjy2gHog5ayF5uJDEfuoXxS9v3MpSEQW3xTBsR1sahAiKzsBl7MnkZruGVQhfdSOqjDULB1y0fFkS-1WiCU87apV-9j9U9ZzdQaSo078nccgONuttOEI0tnEvUse7Bul3Mvo priority: 102 providerName: Directory of Open Access Journals |
Title | The association between anterior nares and nasopharyngeal microbiota in infants hospitalized for bronchiolitis |
URI | https://www.ncbi.nlm.nih.gov/pubmed/29298732 https://www.proquest.com/docview/1984751468 https://pubmed.ncbi.nlm.nih.gov/PMC5751828 https://doaj.org/article/6af212d5a9ca4059a982bb3c8ce9f314 |
Volume | 6 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3da9swEBddy2AvY9_11gVtDAYDb7ElW9LDGOlo6QIro10gb0KS5cTQ2ZudwLK_fidZyWpWCoHE1slEujvd76zTHUJvcqvNuMyS2BRKx5QyEWtCCShepqzIDE-ND5A9z89mdDrP5ntoW94qTGB3o2vn6knN2qv3v39tPoHCf_QKz_MPHfgIuQvJYrHb54rBgz8Aw8Scnn4NaN8vzCKhzNfTSgEXx-A78LDPeeNTBpbKJ_T_f9m-ZreGMZXXjNTpA3Q_oEs86cXhIdqz9SN0t683uXmMahAKrP4xBIcoLeynt2paXLvjSHBZwC9X4EC1m3oBWBL_qPqMTSuFqxo-pYufwctQdaT6YwsM8BfrtqnNsvJBdd0TNDs9-f75LA4FF2IDqG4V08TSgoxTW2ZEE15SkytS0GIsDCHUUpUoDozUXHGlkkyXRORKZ5xpm5VKE_IU7ddNbQ8RhlvMMkNdfj4q0kSLREAHlTnAAF0iNN5OrjQhG7krinElvVfCc9nzQwI_pOOHHEfo3a7Lzz4Vx23Ex45jO0KXRdvfaNqFDEopc1WC5S4yJYwC4CqU4KnWxHBjRUkSGqHXjt_S5cmoXSDOQq27Tn65vJATgD0EsFeaR-htICobGIFR4VwDzINLrTWgPBpQgiKbQfOrrVhJ1-Si32rbrDuZCMAQmTskF6FnvZjtBpYCvuWMpBFiAwEcjHzYUldLn0fcb7ml_Pntf-sFugcgkfvXTuQI7a_atX0JQGylR-gOm7MROphMppdT-D4-Of92MfKvNUZe9f4C8Ewzig |
linkProvider | Scholars Portal |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+association+between+anterior+nares+and+nasopharyngeal+microbiota+in+infants+hospitalized+for+bronchiolitis&rft.jtitle=Microbiome&rft.au=Luna%2C+Pamela+N&rft.au=Hasegawa%2C+Kohei&rft.au=Ajami%2C+Nadim+J&rft.au=Espinola%2C+Janice+A&rft.date=2018-01-03&rft.pub=BioMed+Central+Ltd&rft.issn=2049-2618&rft.eissn=2049-2618&rft.volume=6&rft.issue=1&rft_id=info:doi/10.1186%2Fs40168-017-0385-0&rft.externalDocID=A521331726 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2049-2618&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2049-2618&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2049-2618&client=summon |