ACR Meeting Abstracts

ACR Meeting Abstracts

Abstract Number: 2806

Bacterial Skin Microbiome in Psoriatic Arthritis – Pilot Data from Psoriatic Plaques on Dry Skin Sites from Patients with Psoriasis (PsC) and Psoriatic Arthritis (PsA)

Madhura Castelino1, Stephen Eyre2, Mauro Tutino2, John Moat3, Paul Martin2, Umer Ijaz4, Christopher Quince5, Pauline Ho1, Mathew Upton6 and Anne Barton1,7, 1NIHR Manchester Musculoskeletal Biomedical Research Unit, Manchester Academic Health Science Centre, Manchester, United Kingdom, 2Arthritis Research UK Centre for Genetics and Genomics, University of Manchester, Manchester, United Kingdom, 3Microbiology and Virology Unit, University of Manchester, Manchester, United Kingdom, 4School of Engineering, University of Glasgow, Glasgow, United Kingdom, 5Warwick Medical School, University of Warwick, Coventry, United Kingdom, 6Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, United Kingdom, 7Arthritis Research UK Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University Of Manchester, Manchester, United Kingdom

Meeting: 2015 ACR/ARHP Annual Meeting

Date of first publication: September 29, 2015

Keywords: , ,

Session Information

Date: Tuesday, November 10, 2015

Title: Spondylarthropathies and Psoriatic Arthritis Pathogenesis, Etiology Poster I

Session Type: ACR Poster Session C

Session Time: 9:00AM-11:00AM

Background/Purpose:

In complex traits like psoriasis (PsC) and psoriatic arthritis (PsA) interactions between genetics and environmental factors are thought to result in the development of disease. Among candidate environmental triggers, the microbial flora in immediate contact with the immune system at several sites, including the skin, are likely to be influential in disease. Topographical diversity exists in the microbial flora based on the skin niche: dry (extensor surfaces of the limbs), sebaceous (scalp, trunk) and moist (flexural surfaces), and bacterial microbiota differ in psoriatic plaques from normal skin. We present data for the bacterial microbiota in psoriatic plaques from the dry skin niche of individuals with psoriatic arthritis and psoriasis, to determine whether the bacterial microbiota are consistent both temporally and from different physical sites

Methods:

Twelve individuals with PsA and 9 individuals with plaque psoriasis were recruited from three centres in North West England, UK. Informed written consent was obtained;  skin swabs from multiple psoriatic plaques on the extensor surfaces of the upper and/or lower limbs of each individual were collected and DNA extracted using the MoBio PowerSoil DNA Isolation Kit. The V3-V4 hypervariable region of the 16S rRNA gene was amplified. The samples were sequenced using the MiSeq. OTUs were generated using QIIME 1.6 after quality checks and chimera removal. The data was analysed using R 3.2.0.

Results:

 

Table 1. Baseline Demographics

 

 

Demographic variables

PsC (n=9)

PsA (n=12)

Age mean (range) yrs

48 (22-79)

56 (40-66)

Gender Female (%)

4 (44)

3 (25)

Duration of Psoriasis mean (median) yrs

20.3 (23)

21.7 (20.5)

Type 1 Psorasis (Age at onset <40yrs) (%)

7 (77)

7 (58)

39 skin samples comprising 25 samples from PsA and 14 from PsC individuals were available analysis. There was no significant difference in the alpha (Shannon) diversity index between the two groups (Wilcoxon rank sum test: W=163, p-value=0.7855).

The data was analysed using unweighted UniFrac for the principal co-ordinate analysis (PCoA) and the Bray-Curtis method for the Non-metric Multidimensional Scaling (NMDS). Samples from two time points for clinically stable individuals (n=3) clustered together, as did skin samples from the same individual taken from different dry sites (n=14).

Multivariate analysis using the Adonis method was carried out based on UniFrac and Bray-Curtis distance. Inter-individual differences accounted for most of the variance (>70%), regardless of PsA/PsC status (p<0.001; F=3.4268 and 5.7337; R2=0.76 and 0.84). A statistically significant (p<0.015; F=1.9237;R2= 0.053) difference was observed when samples were grouped for disease (PsA vs PsC) using the UniFrac metric but only explained  ~5% of the variance.

Conclusion:

In our study, the skin microbiota from psoriatic plaques is consistent for the dry skin type regardless of the physical site and time of sampling in clinically stable individuals. We found no significant differences in the bacterial skin microbiota from the dry skin plaques of individuals with PsA vs PsC.

Disclosure: M. Castelino, None; S. Eyre, None; M. Tutino, None; J. Moat, None; P. Martin, None; U. Ijaz, None; C. Quince, None; P. Ho, None; M. Upton, None; A. Barton, None.

To cite this abstract in AMA style:

Castelino M, Eyre S, Tutino M, Moat J, Martin P, Ijaz U, Quince C, Ho P, Upton M, Barton A. Bacterial Skin Microbiome in Psoriatic Arthritis – Pilot Data from Psoriatic Plaques on Dry Skin Sites from Patients with Psoriasis (PsC) and Psoriatic Arthritis (PsA) [abstract]. Arthritis Rheumatol. 2015; 67 (suppl 10). https://acrabstracts.org/abstract/bacterial-skin-microbiome-in-psoriatic-arthritis-a%c2%a2a%c2%acaeoe-pilot-data-from-psoriatic-plaques-on-dry-skin-sites-from-patients-with-psoriasis-psc-and-psoriatic-arthritis-psa/. Accessed .

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