Literature DB >> 30415264

Urine Bacteria-Derived Extracellular Vesicles and Allergic Airway Diseases in Children.

Mona Samra1,2, Soo Kyung Nam3, Dae Hyun Lim1,2,3, Dong Hyun Kim2,3, Jinho Yang4, Yoon-Keun Kim4, Jeong Hee Kim5,6,7.   

Abstract

BACKGROUND: Microbiota and human allergic airway diseases have been proven to be interrelated. Bacteria-derived extracellular vesicle (EV)s are known to play important roles in interbacterial and human-bacteria communications, but their relationship with allergies has not been examined yet. Urine EVs were investigated to determine whether they could be used as biomarkers for monitoring allergic airway diseases in children.
METHODS: Subjects were 4 groups of chronic rhinitis (CR), allergic rhinitis (AR), atopic asthma (AS) and healthy controls. Single voided urine samples were collected. Urine EVs were isolated and their DNA was extracted for 16S-rDNA pyrosequencing.
RESULTS: A total of 118 children participated in this study; 27, 39, 19, and 33 were in the CR, AR, AS, and control group, respectively. The AR had a significantly high Chao-1 index than that of controls. Principal component analysis revealed dysbiosis in the CR, AR, and AS compared to the controls. One phylum and 19 families and genera were significantly enriched or depleted in the disease groups compared to the controls; the Actinobacteria phylum and the Sphingomonadaceae family were more abundant in the AS and CR, the Comamonadaceae family, the Propionibacteraceae family, Propionibacterium and Enhydrobacter were more enriched in the CR, and the Methylobacteriaceae family and Methylobacterium were more abundant in each disease group, while the Enterobacteriaceae family was depleted in each disease group.
CONCLUSIONS: CR, AR, and AS had a distinct composition of urine EVs. Urine EVs could be an indicator for assessing allergic airway diseases in children.
© 2018 S. Karger AG, Basel.

Entities:  

Keywords:  Asthma; Extracellular vesicle; Metagenomic analysis; Microbiota; Rhinitis

Mesh:

Substances:

Year:  2018        PMID: 30415264     DOI: 10.1159/000492677

Source DB:  PubMed          Journal:  Int Arch Allergy Immunol        ISSN: 1018-2438            Impact factor:   2.749


  7 in total

1.  Machine-learning algorithms for asthma, COPD, and lung cancer risk assessment using circulating microbial extracellular vesicle data and their application to assess dietary effects.

Authors:  Andrea McDowell; Juwon Kang; Jinho Yang; Jihee Jung; Yeon-Mok Oh; Sung-Min Kym; Tae-Seop Shin; Tae-Bum Kim; Young-Koo Jee; Yoon-Keun Kim
Journal:  Exp Mol Med       Date:  2022-09-30       Impact factor: 12.153

Review 2.  A new horizon of precision medicine: combination of the microbiome and extracellular vesicles.

Authors:  Jinho Yang; Tae-Seop Shin; Jong Seong Kim; Young-Koo Jee; Yoon-Keun Kim
Journal:  Exp Mol Med       Date:  2022-04-22       Impact factor: 12.153

Review 3.  Circulating 16S RNA in Biofluids: Extracellular Vesicles as Mirrors of Human Microbiome?

Authors:  Veronica Ricci; Davide Carcione; Simone Messina; Gualtiero I Colombo; Yuri D'Alessandra
Journal:  Int J Mol Sci       Date:  2020-11-25       Impact factor: 5.923

4.  Urine Microbe-Derived Extracellular Vesicles in Children With Asthma.

Authors:  Yeong Seok Lee; Jeong Hee Kim; Dae Hyun Lim
Journal:  Allergy Asthma Immunol Res       Date:  2021-01       Impact factor: 5.764

5.  Urine Microbial Extracellular Vesicles Can Be Potential and Novel Biomarkers for Allergic Diseases.

Authors:  Youngwoo Choi; Hae Sim Park; Young Koo Jee
Journal:  Allergy Asthma Immunol Res       Date:  2021-01       Impact factor: 5.764

6.  Metagenome analysis using serum extracellular vesicles identified distinct microbiota in asthmatics.

Authors:  Ji-Hyang Lee; Jun-Pyo Choi; Jinho Yang; Ha-Kyeong Won; Chan Sun Park; Woo-Jung Song; Hyouk-Soo Kwon; Tae-Bum Kim; Yoon-Keun Kim; Hae-Sim Park; You Sook Cho
Journal:  Sci Rep       Date:  2020-09-15       Impact factor: 4.379

Review 7.  Extracellular Vesicles and Asthma-More Than Just a Co-Existence.

Authors:  Bilal Alashkar Alhamwe; Daniel P Potaczek; Sarah Miethe; Fahd Alhamdan; Lukas Hintz; Arslan Magomedov; Holger Garn
Journal:  Int J Mol Sci       Date:  2021-05-07       Impact factor: 5.923

  7 in total

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