Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood

Background: Airway microbiota may play an important role in regulating the immune response related to allergic respiratory diseases. A molecular-based approach was used to analyze the association between nasopharyngeal microbiota, serum immunoglobin (Ig)E levels, and childhood respiratory allergies....
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Autor*in:	Ming-Han Tsai [verfasserIn] Hsiang-Ju Shih [verfasserIn] Kuan-Wen Su [verfasserIn] Sui-Ling Liao [verfasserIn] Man-Chin Hua [verfasserIn] Tsung-Chieh Yao [verfasserIn] Shen-Hao Lai [verfasserIn] Kuo-Wei Yeh [verfasserIn] Li-Chen Chen [verfasserIn] Jing-Long Huang [verfasserIn] Chih-Yung Chiu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Airway allergies Children Microbiota Nasopharynx

Übergeordnetes Werk:	In: Journal of Microbiology, Immunology and Infection - Elsevier, 2017, 55(2022), 4, Seite 777-785
Übergeordnetes Werk:	volume:55 ; year:2022 ; number:4 ; pages:777-785

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.jmii.2022.01.006

Katalog-ID:	DOAJ03499761X

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520			\|a Background: Airway microbiota may play an important role in regulating the immune response related to allergic respiratory diseases. A molecular-based approach was used to analyze the association between nasopharyngeal microbiota, serum immunoglobin (Ig)E levels, and childhood respiratory allergies. Methods: Nasopharyngeal swabs were collected from children aged 36 months with three phenotypes, including allergic respiratory diseases plus atopy, atopy alone, and healthy controls for microbiome analysis using Illumina-based 16S rRNA gene sequencing. Results: In total, 87 children were enrolled, including 36 with allergic respiratory diseases plus atopy, 21 with atopy alone, and 30 healthy controls. Proteobacteria (45.7%), Firmicutes (29.3%), and Actinobacteria (15.3%) were the most prevalent phyla in the study population. Compared with healthy controls, a lower Chao1 index was found in children with allergies (P < 0.035), indicating that bacterial richness was inversely associated with airway allergies. Additionally, in comparison with healthy controls, the genera Acinetobacter, Moraxella, Asaia, and Rhodococcus were more abundant and positively correlated with total serum IgE levels in children with allergies (P < 0.01), whereas the genera Enterococcus and Rickettsia were inversely correlated with total IgE levels, and also appeared to be negatively associated with airway allergies (P < 0.01). Conclusions: The composition of the nasopharyngeal microbiota alteration may have an influence on childhood respiratory allergies. The inverse association between bacterial richness and allergies postulated that children living in a microbially hygienic environment may increase their risk of developing respiratory allergies.
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allfields	10.1016/j.jmii.2022.01.006 doi (DE-627)DOAJ03499761X (DE-599)DOAJ859e5fc268ca433b928f7c57a770b2e1 DE-627 ger DE-627 rakwb eng QR1-502 Ming-Han Tsai verfasserin aut Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Airway microbiota may play an important role in regulating the immune response related to allergic respiratory diseases. A molecular-based approach was used to analyze the association between nasopharyngeal microbiota, serum immunoglobin (Ig)E levels, and childhood respiratory allergies. Methods: Nasopharyngeal swabs were collected from children aged 36 months with three phenotypes, including allergic respiratory diseases plus atopy, atopy alone, and healthy controls for microbiome analysis using Illumina-based 16S rRNA gene sequencing. Results: In total, 87 children were enrolled, including 36 with allergic respiratory diseases plus atopy, 21 with atopy alone, and 30 healthy controls. Proteobacteria (45.7%), Firmicutes (29.3%), and Actinobacteria (15.3%) were the most prevalent phyla in the study population. Compared with healthy controls, a lower Chao1 index was found in children with allergies (P < 0.035), indicating that bacterial richness was inversely associated with airway allergies. Additionally, in comparison with healthy controls, the genera Acinetobacter, Moraxella, Asaia, and Rhodococcus were more abundant and positively correlated with total serum IgE levels in children with allergies (P < 0.01), whereas the genera Enterococcus and Rickettsia were inversely correlated with total IgE levels, and also appeared to be negatively associated with airway allergies (P < 0.01). Conclusions: The composition of the nasopharyngeal microbiota alteration may have an influence on childhood respiratory allergies. The inverse association between bacterial richness and allergies postulated that children living in a microbially hygienic environment may increase their risk of developing respiratory allergies. Airway allergies Children Microbiota Nasopharynx Microbiology Hsiang-Ju Shih verfasserin aut Kuan-Wen Su verfasserin aut Sui-Ling Liao verfasserin aut Man-Chin Hua verfasserin aut Tsung-Chieh Yao verfasserin aut Shen-Hao Lai verfasserin aut Kuo-Wei Yeh verfasserin aut Li-Chen Chen verfasserin aut Jing-Long Huang verfasserin aut Chih-Yung Chiu verfasserin aut In Journal of Microbiology, Immunology and Infection Elsevier, 2017 55(2022), 4, Seite 777-785 (DE-627)478508638 (DE-600)2175858-X 16841182 nnns volume:55 year:2022 number:4 pages:777-785 https://doi.org/10.1016/j.jmii.2022.01.006 kostenfrei https://doaj.org/article/859e5fc268ca433b928f7c57a770b2e1 kostenfrei http://www.sciencedirect.com/science/article/pii/S1684118222000226 kostenfrei https://doaj.org/toc/1684-1182 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 55 2022 4 777-785
spelling	10.1016/j.jmii.2022.01.006 doi (DE-627)DOAJ03499761X (DE-599)DOAJ859e5fc268ca433b928f7c57a770b2e1 DE-627 ger DE-627 rakwb eng QR1-502 Ming-Han Tsai verfasserin aut Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Airway microbiota may play an important role in regulating the immune response related to allergic respiratory diseases. A molecular-based approach was used to analyze the association between nasopharyngeal microbiota, serum immunoglobin (Ig)E levels, and childhood respiratory allergies. Methods: Nasopharyngeal swabs were collected from children aged 36 months with three phenotypes, including allergic respiratory diseases plus atopy, atopy alone, and healthy controls for microbiome analysis using Illumina-based 16S rRNA gene sequencing. Results: In total, 87 children were enrolled, including 36 with allergic respiratory diseases plus atopy, 21 with atopy alone, and 30 healthy controls. Proteobacteria (45.7%), Firmicutes (29.3%), and Actinobacteria (15.3%) were the most prevalent phyla in the study population. Compared with healthy controls, a lower Chao1 index was found in children with allergies (P < 0.035), indicating that bacterial richness was inversely associated with airway allergies. Additionally, in comparison with healthy controls, the genera Acinetobacter, Moraxella, Asaia, and Rhodococcus were more abundant and positively correlated with total serum IgE levels in children with allergies (P < 0.01), whereas the genera Enterococcus and Rickettsia were inversely correlated with total IgE levels, and also appeared to be negatively associated with airway allergies (P < 0.01). Conclusions: The composition of the nasopharyngeal microbiota alteration may have an influence on childhood respiratory allergies. The inverse association between bacterial richness and allergies postulated that children living in a microbially hygienic environment may increase their risk of developing respiratory allergies. Airway allergies Children Microbiota Nasopharynx Microbiology Hsiang-Ju Shih verfasserin aut Kuan-Wen Su verfasserin aut Sui-Ling Liao verfasserin aut Man-Chin Hua verfasserin aut Tsung-Chieh Yao verfasserin aut Shen-Hao Lai verfasserin aut Kuo-Wei Yeh verfasserin aut Li-Chen Chen verfasserin aut Jing-Long Huang verfasserin aut Chih-Yung Chiu verfasserin aut In Journal of Microbiology, Immunology and Infection Elsevier, 2017 55(2022), 4, Seite 777-785 (DE-627)478508638 (DE-600)2175858-X 16841182 nnns volume:55 year:2022 number:4 pages:777-785 https://doi.org/10.1016/j.jmii.2022.01.006 kostenfrei https://doaj.org/article/859e5fc268ca433b928f7c57a770b2e1 kostenfrei http://www.sciencedirect.com/science/article/pii/S1684118222000226 kostenfrei https://doaj.org/toc/1684-1182 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 55 2022 4 777-785
allfields_unstemmed	10.1016/j.jmii.2022.01.006 doi (DE-627)DOAJ03499761X (DE-599)DOAJ859e5fc268ca433b928f7c57a770b2e1 DE-627 ger DE-627 rakwb eng QR1-502 Ming-Han Tsai verfasserin aut Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Airway microbiota may play an important role in regulating the immune response related to allergic respiratory diseases. A molecular-based approach was used to analyze the association between nasopharyngeal microbiota, serum immunoglobin (Ig)E levels, and childhood respiratory allergies. Methods: Nasopharyngeal swabs were collected from children aged 36 months with three phenotypes, including allergic respiratory diseases plus atopy, atopy alone, and healthy controls for microbiome analysis using Illumina-based 16S rRNA gene sequencing. Results: In total, 87 children were enrolled, including 36 with allergic respiratory diseases plus atopy, 21 with atopy alone, and 30 healthy controls. Proteobacteria (45.7%), Firmicutes (29.3%), and Actinobacteria (15.3%) were the most prevalent phyla in the study population. Compared with healthy controls, a lower Chao1 index was found in children with allergies (P < 0.035), indicating that bacterial richness was inversely associated with airway allergies. Additionally, in comparison with healthy controls, the genera Acinetobacter, Moraxella, Asaia, and Rhodococcus were more abundant and positively correlated with total serum IgE levels in children with allergies (P < 0.01), whereas the genera Enterococcus and Rickettsia were inversely correlated with total IgE levels, and also appeared to be negatively associated with airway allergies (P < 0.01). Conclusions: The composition of the nasopharyngeal microbiota alteration may have an influence on childhood respiratory allergies. The inverse association between bacterial richness and allergies postulated that children living in a microbially hygienic environment may increase their risk of developing respiratory allergies. Airway allergies Children Microbiota Nasopharynx Microbiology Hsiang-Ju Shih verfasserin aut Kuan-Wen Su verfasserin aut Sui-Ling Liao verfasserin aut Man-Chin Hua verfasserin aut Tsung-Chieh Yao verfasserin aut Shen-Hao Lai verfasserin aut Kuo-Wei Yeh verfasserin aut Li-Chen Chen verfasserin aut Jing-Long Huang verfasserin aut Chih-Yung Chiu verfasserin aut In Journal of Microbiology, Immunology and Infection Elsevier, 2017 55(2022), 4, Seite 777-785 (DE-627)478508638 (DE-600)2175858-X 16841182 nnns volume:55 year:2022 number:4 pages:777-785 https://doi.org/10.1016/j.jmii.2022.01.006 kostenfrei https://doaj.org/article/859e5fc268ca433b928f7c57a770b2e1 kostenfrei http://www.sciencedirect.com/science/article/pii/S1684118222000226 kostenfrei https://doaj.org/toc/1684-1182 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 55 2022 4 777-785
allfieldsGer	10.1016/j.jmii.2022.01.006 doi (DE-627)DOAJ03499761X (DE-599)DOAJ859e5fc268ca433b928f7c57a770b2e1 DE-627 ger DE-627 rakwb eng QR1-502 Ming-Han Tsai verfasserin aut Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Airway microbiota may play an important role in regulating the immune response related to allergic respiratory diseases. A molecular-based approach was used to analyze the association between nasopharyngeal microbiota, serum immunoglobin (Ig)E levels, and childhood respiratory allergies. Methods: Nasopharyngeal swabs were collected from children aged 36 months with three phenotypes, including allergic respiratory diseases plus atopy, atopy alone, and healthy controls for microbiome analysis using Illumina-based 16S rRNA gene sequencing. Results: In total, 87 children were enrolled, including 36 with allergic respiratory diseases plus atopy, 21 with atopy alone, and 30 healthy controls. Proteobacteria (45.7%), Firmicutes (29.3%), and Actinobacteria (15.3%) were the most prevalent phyla in the study population. Compared with healthy controls, a lower Chao1 index was found in children with allergies (P < 0.035), indicating that bacterial richness was inversely associated with airway allergies. Additionally, in comparison with healthy controls, the genera Acinetobacter, Moraxella, Asaia, and Rhodococcus were more abundant and positively correlated with total serum IgE levels in children with allergies (P < 0.01), whereas the genera Enterococcus and Rickettsia were inversely correlated with total IgE levels, and also appeared to be negatively associated with airway allergies (P < 0.01). Conclusions: The composition of the nasopharyngeal microbiota alteration may have an influence on childhood respiratory allergies. The inverse association between bacterial richness and allergies postulated that children living in a microbially hygienic environment may increase their risk of developing respiratory allergies. Airway allergies Children Microbiota Nasopharynx Microbiology Hsiang-Ju Shih verfasserin aut Kuan-Wen Su verfasserin aut Sui-Ling Liao verfasserin aut Man-Chin Hua verfasserin aut Tsung-Chieh Yao verfasserin aut Shen-Hao Lai verfasserin aut Kuo-Wei Yeh verfasserin aut Li-Chen Chen verfasserin aut Jing-Long Huang verfasserin aut Chih-Yung Chiu verfasserin aut In Journal of Microbiology, Immunology and Infection Elsevier, 2017 55(2022), 4, Seite 777-785 (DE-627)478508638 (DE-600)2175858-X 16841182 nnns volume:55 year:2022 number:4 pages:777-785 https://doi.org/10.1016/j.jmii.2022.01.006 kostenfrei https://doaj.org/article/859e5fc268ca433b928f7c57a770b2e1 kostenfrei http://www.sciencedirect.com/science/article/pii/S1684118222000226 kostenfrei https://doaj.org/toc/1684-1182 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 55 2022 4 777-785
allfieldsSound	10.1016/j.jmii.2022.01.006 doi (DE-627)DOAJ03499761X (DE-599)DOAJ859e5fc268ca433b928f7c57a770b2e1 DE-627 ger DE-627 rakwb eng QR1-502 Ming-Han Tsai verfasserin aut Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Airway microbiota may play an important role in regulating the immune response related to allergic respiratory diseases. A molecular-based approach was used to analyze the association between nasopharyngeal microbiota, serum immunoglobin (Ig)E levels, and childhood respiratory allergies. Methods: Nasopharyngeal swabs were collected from children aged 36 months with three phenotypes, including allergic respiratory diseases plus atopy, atopy alone, and healthy controls for microbiome analysis using Illumina-based 16S rRNA gene sequencing. Results: In total, 87 children were enrolled, including 36 with allergic respiratory diseases plus atopy, 21 with atopy alone, and 30 healthy controls. Proteobacteria (45.7%), Firmicutes (29.3%), and Actinobacteria (15.3%) were the most prevalent phyla in the study population. Compared with healthy controls, a lower Chao1 index was found in children with allergies (P < 0.035), indicating that bacterial richness was inversely associated with airway allergies. Additionally, in comparison with healthy controls, the genera Acinetobacter, Moraxella, Asaia, and Rhodococcus were more abundant and positively correlated with total serum IgE levels in children with allergies (P < 0.01), whereas the genera Enterococcus and Rickettsia were inversely correlated with total IgE levels, and also appeared to be negatively associated with airway allergies (P < 0.01). Conclusions: The composition of the nasopharyngeal microbiota alteration may have an influence on childhood respiratory allergies. The inverse association between bacterial richness and allergies postulated that children living in a microbially hygienic environment may increase their risk of developing respiratory allergies. Airway allergies Children Microbiota Nasopharynx Microbiology Hsiang-Ju Shih verfasserin aut Kuan-Wen Su verfasserin aut Sui-Ling Liao verfasserin aut Man-Chin Hua verfasserin aut Tsung-Chieh Yao verfasserin aut Shen-Hao Lai verfasserin aut Kuo-Wei Yeh verfasserin aut Li-Chen Chen verfasserin aut Jing-Long Huang verfasserin aut Chih-Yung Chiu verfasserin aut In Journal of Microbiology, Immunology and Infection Elsevier, 2017 55(2022), 4, Seite 777-785 (DE-627)478508638 (DE-600)2175858-X 16841182 nnns volume:55 year:2022 number:4 pages:777-785 https://doi.org/10.1016/j.jmii.2022.01.006 kostenfrei https://doaj.org/article/859e5fc268ca433b928f7c57a770b2e1 kostenfrei http://www.sciencedirect.com/science/article/pii/S1684118222000226 kostenfrei https://doaj.org/toc/1684-1182 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 55 2022 4 777-785
language	English
source	In Journal of Microbiology, Immunology and Infection 55(2022), 4, Seite 777-785 volume:55 year:2022 number:4 pages:777-785
sourceStr	In Journal of Microbiology, Immunology and Infection 55(2022), 4, Seite 777-785 volume:55 year:2022 number:4 pages:777-785
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Airway allergies Children Microbiota Nasopharynx Microbiology
isfreeaccess_bool	true
container_title	Journal of Microbiology, Immunology and Infection
authorswithroles_txt_mv	Ming-Han Tsai @@aut@@ Hsiang-Ju Shih @@aut@@ Kuan-Wen Su @@aut@@ Sui-Ling Liao @@aut@@ Man-Chin Hua @@aut@@ Tsung-Chieh Yao @@aut@@ Shen-Hao Lai @@aut@@ Kuo-Wei Yeh @@aut@@ Li-Chen Chen @@aut@@ Jing-Long Huang @@aut@@ Chih-Yung Chiu @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	478508638
id	DOAJ03499761X
language_de	englisch
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A molecular-based approach was used to analyze the association between nasopharyngeal microbiota, serum immunoglobin (Ig)E levels, and childhood respiratory allergies. Methods: Nasopharyngeal swabs were collected from children aged 36 months with three phenotypes, including allergic respiratory diseases plus atopy, atopy alone, and healthy controls for microbiome analysis using Illumina-based 16S rRNA gene sequencing. Results: In total, 87 children were enrolled, including 36 with allergic respiratory diseases plus atopy, 21 with atopy alone, and 30 healthy controls. Proteobacteria (45.7%), Firmicutes (29.3%), and Actinobacteria (15.3%) were the most prevalent phyla in the study population. Compared with healthy controls, a lower Chao1 index was found in children with allergies (P < 0.035), indicating that bacterial richness was inversely associated with airway allergies. Additionally, in comparison with healthy controls, the genera Acinetobacter, Moraxella, Asaia, and Rhodococcus were more abundant and positively correlated with total serum IgE levels in children with allergies (P < 0.01), whereas the genera Enterococcus and Rickettsia were inversely correlated with total IgE levels, and also appeared to be negatively associated with airway allergies (P < 0.01). Conclusions: The composition of the nasopharyngeal microbiota alteration may have an influence on childhood respiratory allergies. 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callnumber-first	Q - Science
author	Ming-Han Tsai
spellingShingle	Ming-Han Tsai misc QR1-502 misc Airway allergies misc Children misc Microbiota misc Nasopharynx misc Microbiology Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood
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topic_title	QR1-502 Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood Airway allergies Children Microbiota Nasopharynx
topic	misc QR1-502 misc Airway allergies misc Children misc Microbiota misc Nasopharynx misc Microbiology
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title	Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood
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title_full	Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood
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author_browse	Ming-Han Tsai Hsiang-Ju Shih Kuan-Wen Su Sui-Ling Liao Man-Chin Hua Tsung-Chieh Yao Shen-Hao Lai Kuo-Wei Yeh Li-Chen Chen Jing-Long Huang Chih-Yung Chiu
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title_sort	nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood
callnumber	QR1-502
title_auth	Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood
abstract	Background: Airway microbiota may play an important role in regulating the immune response related to allergic respiratory diseases. A molecular-based approach was used to analyze the association between nasopharyngeal microbiota, serum immunoglobin (Ig)E levels, and childhood respiratory allergies. Methods: Nasopharyngeal swabs were collected from children aged 36 months with three phenotypes, including allergic respiratory diseases plus atopy, atopy alone, and healthy controls for microbiome analysis using Illumina-based 16S rRNA gene sequencing. Results: In total, 87 children were enrolled, including 36 with allergic respiratory diseases plus atopy, 21 with atopy alone, and 30 healthy controls. Proteobacteria (45.7%), Firmicutes (29.3%), and Actinobacteria (15.3%) were the most prevalent phyla in the study population. Compared with healthy controls, a lower Chao1 index was found in children with allergies (P < 0.035), indicating that bacterial richness was inversely associated with airway allergies. Additionally, in comparison with healthy controls, the genera Acinetobacter, Moraxella, Asaia, and Rhodococcus were more abundant and positively correlated with total serum IgE levels in children with allergies (P < 0.01), whereas the genera Enterococcus and Rickettsia were inversely correlated with total IgE levels, and also appeared to be negatively associated with airway allergies (P < 0.01). Conclusions: The composition of the nasopharyngeal microbiota alteration may have an influence on childhood respiratory allergies. The inverse association between bacterial richness and allergies postulated that children living in a microbially hygienic environment may increase their risk of developing respiratory allergies.
abstractGer	Background: Airway microbiota may play an important role in regulating the immune response related to allergic respiratory diseases. A molecular-based approach was used to analyze the association between nasopharyngeal microbiota, serum immunoglobin (Ig)E levels, and childhood respiratory allergies. Methods: Nasopharyngeal swabs were collected from children aged 36 months with three phenotypes, including allergic respiratory diseases plus atopy, atopy alone, and healthy controls for microbiome analysis using Illumina-based 16S rRNA gene sequencing. Results: In total, 87 children were enrolled, including 36 with allergic respiratory diseases plus atopy, 21 with atopy alone, and 30 healthy controls. Proteobacteria (45.7%), Firmicutes (29.3%), and Actinobacteria (15.3%) were the most prevalent phyla in the study population. Compared with healthy controls, a lower Chao1 index was found in children with allergies (P < 0.035), indicating that bacterial richness was inversely associated with airway allergies. Additionally, in comparison with healthy controls, the genera Acinetobacter, Moraxella, Asaia, and Rhodococcus were more abundant and positively correlated with total serum IgE levels in children with allergies (P < 0.01), whereas the genera Enterococcus and Rickettsia were inversely correlated with total IgE levels, and also appeared to be negatively associated with airway allergies (P < 0.01). Conclusions: The composition of the nasopharyngeal microbiota alteration may have an influence on childhood respiratory allergies. The inverse association between bacterial richness and allergies postulated that children living in a microbially hygienic environment may increase their risk of developing respiratory allergies.
abstract_unstemmed	Background: Airway microbiota may play an important role in regulating the immune response related to allergic respiratory diseases. A molecular-based approach was used to analyze the association between nasopharyngeal microbiota, serum immunoglobin (Ig)E levels, and childhood respiratory allergies. Methods: Nasopharyngeal swabs were collected from children aged 36 months with three phenotypes, including allergic respiratory diseases plus atopy, atopy alone, and healthy controls for microbiome analysis using Illumina-based 16S rRNA gene sequencing. Results: In total, 87 children were enrolled, including 36 with allergic respiratory diseases plus atopy, 21 with atopy alone, and 30 healthy controls. Proteobacteria (45.7%), Firmicutes (29.3%), and Actinobacteria (15.3%) were the most prevalent phyla in the study population. Compared with healthy controls, a lower Chao1 index was found in children with allergies (P < 0.035), indicating that bacterial richness was inversely associated with airway allergies. Additionally, in comparison with healthy controls, the genera Acinetobacter, Moraxella, Asaia, and Rhodococcus were more abundant and positively correlated with total serum IgE levels in children with allergies (P < 0.01), whereas the genera Enterococcus and Rickettsia were inversely correlated with total IgE levels, and also appeared to be negatively associated with airway allergies (P < 0.01). Conclusions: The composition of the nasopharyngeal microbiota alteration may have an influence on childhood respiratory allergies. The inverse association between bacterial richness and allergies postulated that children living in a microbially hygienic environment may increase their risk of developing respiratory allergies.
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title_short	Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood
url	https://doi.org/10.1016/j.jmii.2022.01.006 https://doaj.org/article/859e5fc268ca433b928f7c57a770b2e1 http://www.sciencedirect.com/science/article/pii/S1684118222000226 https://doaj.org/toc/1684-1182
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author2Str	Hsiang-Ju Shih Kuan-Wen Su Sui-Ling Liao Man-Chin Hua Tsung-Chieh Yao Shen-Hao Lai Kuo-Wei Yeh Li-Chen Chen Jing-Long Huang Chih-Yung Chiu
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up_date	2024-07-04T01:23:25.361Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ03499761X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230307193620.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jmii.2022.01.006</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ03499761X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ859e5fc268ca433b928f7c57a770b2e1</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QR1-502</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Ming-Han Tsai</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: Airway microbiota may play an important role in regulating the immune response related to allergic respiratory diseases. A molecular-based approach was used to analyze the association between nasopharyngeal microbiota, serum immunoglobin (Ig)E levels, and childhood respiratory allergies. Methods: Nasopharyngeal swabs were collected from children aged 36 months with three phenotypes, including allergic respiratory diseases plus atopy, atopy alone, and healthy controls for microbiome analysis using Illumina-based 16S rRNA gene sequencing. Results: In total, 87 children were enrolled, including 36 with allergic respiratory diseases plus atopy, 21 with atopy alone, and 30 healthy controls. Proteobacteria (45.7%), Firmicutes (29.3%), and Actinobacteria (15.3%) were the most prevalent phyla in the study population. Compared with healthy controls, a lower Chao1 index was found in children with allergies (P < 0.035), indicating that bacterial richness was inversely associated with airway allergies. Additionally, in comparison with healthy controls, the genera Acinetobacter, Moraxella, Asaia, and Rhodococcus were more abundant and positively correlated with total serum IgE levels in children with allergies (P < 0.01), whereas the genera Enterococcus and Rickettsia were inversely correlated with total IgE levels, and also appeared to be negatively associated with airway allergies (P < 0.01). Conclusions: The composition of the nasopharyngeal microbiota alteration may have an influence on childhood respiratory allergies. 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Nasopharyngeal microbial profiles associated with the risk of airway allergies in early childhood

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