Allergy Asthma Immunol Res.  2017 Sep;9(5):453-461. 10.4168/aair.2017.9.5.453.

A Metagenomic Analysis Provides a Culture-Independent Pathogen Detection for Atopic Dermatitis

Affiliations
  • 1Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea.
  • 2Department of Computer Science and Engineering, Hanyang University, Seoul, Korea.
  • 3Asan Institute for Life Sciences, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • 4Division of Molecular and Life Sciences, Department of Life Science, Pohang University of Science and Technology, Pohang, Korea.
  • 5Department of Allergy and Clinical Immunology, Ajou University Medical Center, Suwon, Korea.
  • 6Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
  • 7Department of Pediatrics, Pediatric Allergy and Respiratory Center, Soonchunhyang University Hospital, Soonchunhyang University College of Medicine, Seoul, Korea. bypyun@schmc.ac.kr
  • 8Institute of MD Healthcare, Seoul, Korea. arraychip@gmail.com

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.

Keyword

Atopic dermatitis; extracellular vesicle; metagenomic analysis

MeSH Terms

Alcaligenaceae
Dermatitis, Atopic*
Diagnosis
DNA
Enzyme-Linked Immunosorbent Assay
Extracellular Vesicles
Humans
Immunoglobulin E
Immunoglobulin G
Immunoglobulins
Lactococcus
Metagenomics*
Pseudomonas
Quality of Life
Skin
Skin Diseases
Staphylococcus
Staphylococcus aureus
Streptococcus
DNA
Immunoglobulin E
Immunoglobulin G
Immunoglobulins

Figure

  • Fig. 1 Comparison of bacterial composition in the skin washing fluid of AD patients (case) and normal controls. (A, B) In the skin washing fluid of patients, Staphylococcus accounted for the majority of bacteria, followed by Pseudomonas and Streptococcus in the heatmap. In normal controls, Staphylococcus, Pseudomonas, and Streptococcus were hardly detected, whereas Sediminibacterium, Alcaligenaceae (f) were predominant. AD, atopic dermatitis; f, family.

  • Fig. 2 Changes in the bacterial proportion of skin washing fluid in patients with AD before and after treatment. (A, B) The proportion of Staphylococcus decreased after treatment. Increasing proportions following treatment were evident for Alicyclobacillus, Propionibacterium, and Streptococcus. AD, atopic dermatitis.

  • Fig. 3 Bacterial community analysis of skin washing fluid of AD patients with before and after treatment according to the phylogenetic hierarchy of phylum, class, order, and family. (A) In AD patients, Firmicutes was dominant before treatment and decreased following treatment, with Actinobacteria being increased after treatment. (B) Bacilli dominated before treatment and decreased after treatment, with Actinobacteria being increased after treatment at the class level. (C) Bacillales were dominant before treatment and decreased after treatment, with Propionibacteriales and Lactobacillales being increased after treatment at the order level. (D) Staphylococcaceae was dominant before treatment and was decreased after treatment, with Alicyclobacillaceae, Propionibacteriaceae and Streptococcaceae increased after treatment at the family level. AD, atopic dermatitis.

  • Fig. 4 Bacterial community analysis of skin washing fluid of AD patients with before and after treatment in the genus level. (A, B) Staphylococcus was reduced, while Alicyclobacillus, Propionibacterium, and Streptococcus were increased and bacterial diversity was restored after treatment compared to that before treatment. AD, atopic dermatitis.

  • Fig. 5 SEB-specific IgG and IgE and S. aureus EV-specific IgG and IgE levels. (A, B) SEB-specific IgG and IgE levels were significantly higher in the serum of AD patients compared with that of normal controls. (C, D) S. aureus EV-specific IgG and IgE levels were significantly higher in the serum of AD patients compared with those of normal controls. SEB, S. aureus exotoxin B; IgG, immunoglobulin G; IgE, immunoglobulin E; EV, extracellular vesicle; AD, atopic dermatitis.


Cited by  4 articles

Microbiome Research in Atopic Dermatitis
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Hanyang Med Rev. 2018;38(2):85-92.    doi: 10.7599/hmr.2018.38.2.85.

Lactobacillus plantarum-derived Extracellular Vesicles Protect Atopic Dermatitis Induced by Staphylococcus aureus-derived Extracellular Vesicles
Min-Hye Kim, Seng Jin Choi, Hyun-Il Choi, Jun-Pyo Choi, Han-Ki Park, Eun Kyoung Kim, Min-Jeong Kim, Byoung Seok Moon, Taek-ki Min, Mina Rho, Young-Joo Cho, Sanghwa Yang, Yoon-Keun Kim, You-Young Kim, Bok Yang Pyun
Allergy Asthma Immunol Res. 2018;10(5):516-532.    doi: 10.4168/aair.2018.10.5.516.

Current research status of pediatric atopic dermatitis in Korea
Bok Yang Pyun
Allergy Asthma Respir Dis. 2018;6(Suppl 1):S40-S43.    doi: 10.4168/aard.2018.6.S1.S40.

Microbiome in the Gut-Skin Axis in Atopic Dermatitis
So-Yeon Lee, Eun Lee, Yoon Mee Park, Soo-Jong Hong
Allergy Asthma Immunol Res. 2018;10(4):354-362.    doi: 10.4168/aair.2018.10.4.354.


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