A metagenomic analysis provides a culture-independent pathogen detection for atopic dermatitis

Min Hye Kim; Mina Rho; Jun Pyo Choi; Hyun Il Choi; Han Ki Park; Woo Jung Song; Taek Ki Min; Sang Heon Cho; Young Joo Cho; Yoon Keun Kim; Sanghwa Yang; Bok Yang Pyun

doi:10.4168/aair.2017.9.5.453

A metagenomic analysis provides a culture-independent pathogen detection for atopic dermatitis

Min Hye Kim, Mina Rho, Jun Pyo Choi, Hyun Il Choi, Han Ki Park, Woo Jung Song, Taek Ki Min, Sang Heon Cho, Young Joo Cho, Yoon Keun Kim, Sanghwa Yang, Bok Yang Pyun

Department of Medicine

Research output: Contribution to journal › Article › peer-review

32 Scopus citations

Abstract

Purpose: Atopic dermatitis (AD) is an inflammatory skin disease, significantly affecting the quality of life. Using AD as a model system, we tested a successive identification of AD-associated microbes, followed by a culture-independent serum detection of the identified microbe. Methods: A total of 43 genomic DNA preparations from washing fluid of the cubital fossa of 6 healthy controls, skin lesions of 27 AD patients, 10 of which later received treatment (post-treatment), were subjected to high-throughput pyrosequencing on a Roche 454 GS-FLX platform. Results: Microbial diversity was decreased in AD, and was restored following treatment. AD was characterized by the domination of Staphylococcus, Pseudomonas, and Streptococcus, whereas Alcaligenaceae (f), Sediminibacterium, and Lactococcus were characteristic of healthy skin. An enzyme-linked immunosorbent assay (ELISA) showed that serum could be used as a source for the detection of Staphylococcus aureus extracellular vesicles (EVs). S. aureus EV-specific immunoglobulin G (IgG) and immunoglobulin E (IgE) were quantified in the serum. Conclusions: A metagenomic analysis together with a serum detection of pathogen-specific EVs provides a model for successive identification and diagnosis of pathogens of AD.

Original language	English
Pages (from-to)	453-461
Number of pages	9
Journal	Allergy, Asthma and Immunology Research
Volume	9
Issue number	5
DOIs	https://doi.org/10.4168/aair.2017.9.5.453
State	Published - 2017

Keywords

Atopic dermatitis
Extracellular vesicle
Metagenomic analysis

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10.4168/aair.2017.9.5.453

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title = "A metagenomic analysis provides a culture-independent pathogen detection for atopic dermatitis",

abstract = "Purpose: Atopic dermatitis (AD) is an inflammatory skin disease, significantly affecting the quality of life. Using AD as a model system, we tested a successive identification of AD-associated microbes, followed by a culture-independent serum detection of the identified microbe. Methods: A total of 43 genomic DNA preparations from washing fluid of the cubital fossa of 6 healthy controls, skin lesions of 27 AD patients, 10 of which later received treatment (post-treatment), were subjected to high-throughput pyrosequencing on a Roche 454 GS-FLX platform. Results: Microbial diversity was decreased in AD, and was restored following treatment. AD was characterized by the domination of Staphylococcus, Pseudomonas, and Streptococcus, whereas Alcaligenaceae (f), Sediminibacterium, and Lactococcus were characteristic of healthy skin. An enzyme-linked immunosorbent assay (ELISA) showed that serum could be used as a source for the detection of Staphylococcus aureus extracellular vesicles (EVs). S. aureus EV-specific immunoglobulin G (IgG) and immunoglobulin E (IgE) were quantified in the serum. Conclusions: A metagenomic analysis together with a serum detection of pathogen-specific EVs provides a model for successive identification and diagnosis of pathogens of AD.",

keywords = "Atopic dermatitis, Extracellular vesicle, Metagenomic analysis",

author = "Kim, {Min Hye} and Mina Rho and Choi, {Jun Pyo} and Choi, {Hyun Il} and Park, {Han Ki} and Song, {Woo Jung} and Min, {Taek Ki} and Cho, {Sang Heon} and Cho, {Young Joo} and Kim, {Yoon Keun} and Sanghwa Yang and Pyun, {Bok Yang}",

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year = "2017",

doi = "10.4168/aair.2017.9.5.453",

language = "English",

volume = "9",

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T1 - A metagenomic analysis provides a culture-independent pathogen detection for atopic dermatitis

AU - Kim, Min Hye

AU - Rho, Mina

AU - Choi, Jun Pyo

AU - Choi, Hyun Il

AU - Park, Han Ki

AU - Song, Woo Jung

AU - Min, Taek Ki

AU - Cho, Sang Heon

AU - Cho, Young Joo

AU - Kim, Yoon Keun

AU - Yang, Sanghwa

AU - Pyun, Bok Yang

PY - 2017

Y1 - 2017

N2 - Purpose: Atopic dermatitis (AD) is an inflammatory skin disease, significantly affecting the quality of life. Using AD as a model system, we tested a successive identification of AD-associated microbes, followed by a culture-independent serum detection of the identified microbe. Methods: A total of 43 genomic DNA preparations from washing fluid of the cubital fossa of 6 healthy controls, skin lesions of 27 AD patients, 10 of which later received treatment (post-treatment), were subjected to high-throughput pyrosequencing on a Roche 454 GS-FLX platform. Results: Microbial diversity was decreased in AD, and was restored following treatment. AD was characterized by the domination of Staphylococcus, Pseudomonas, and Streptococcus, whereas Alcaligenaceae (f), Sediminibacterium, and Lactococcus were characteristic of healthy skin. An enzyme-linked immunosorbent assay (ELISA) showed that serum could be used as a source for the detection of Staphylococcus aureus extracellular vesicles (EVs). S. aureus EV-specific immunoglobulin G (IgG) and immunoglobulin E (IgE) were quantified in the serum. Conclusions: A metagenomic analysis together with a serum detection of pathogen-specific EVs provides a model for successive identification and diagnosis of pathogens of AD.

AB - Purpose: Atopic dermatitis (AD) is an inflammatory skin disease, significantly affecting the quality of life. Using AD as a model system, we tested a successive identification of AD-associated microbes, followed by a culture-independent serum detection of the identified microbe. Methods: A total of 43 genomic DNA preparations from washing fluid of the cubital fossa of 6 healthy controls, skin lesions of 27 AD patients, 10 of which later received treatment (post-treatment), were subjected to high-throughput pyrosequencing on a Roche 454 GS-FLX platform. Results: Microbial diversity was decreased in AD, and was restored following treatment. AD was characterized by the domination of Staphylococcus, Pseudomonas, and Streptococcus, whereas Alcaligenaceae (f), Sediminibacterium, and Lactococcus were characteristic of healthy skin. An enzyme-linked immunosorbent assay (ELISA) showed that serum could be used as a source for the detection of Staphylococcus aureus extracellular vesicles (EVs). S. aureus EV-specific immunoglobulin G (IgG) and immunoglobulin E (IgE) were quantified in the serum. Conclusions: A metagenomic analysis together with a serum detection of pathogen-specific EVs provides a model for successive identification and diagnosis of pathogens of AD.

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A metagenomic analysis provides a culture-independent pathogen detection for atopic dermatitis

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