Disordered cutaneous microbiota in systemic lupus erythematosus

J Autoimmun. 2020 Mar:108:102391. doi: 10.1016/j.jaut.2019.102391. Epub 2019 Dec 26.

Abstract

The correlation between systemic lupus erythematosus (SLE) and microbiota colonization has been receiving much attention during recent years. Here, we screened the cutaneous bacterial spectrums of 69 SLE patients, 49 healthy controls and 20 dermatomyositis (DM) patients and identified the specific changes of cutaneous microbial composition and abundance in SLE patients. We observed the decreasing diversity in community richness and evenness and the greater heterogeneity in SLE patients compared to healthy controls, which were also different from the cutaneous microbiome of DM patients. The skin microbial community disorders in SLE patients were correlated with several clinical features such as serum low complement level, gender, renal involvement and myositis. According to the Kruskal-Wallis (KW) test, receiver operating characteristic (ROC) curve and LDA Effect Size (LEfSe) analysis, several bacterial taxa such as Staphylococcus, especially Staphylococcus aureus and Staphylococcus epidermidis, were identified to be potential markers for SLE skin lesions. Furthermore, Picrust analysis showed that Staphylococcus aureus infection pathway was significantly enriched and exhibited a strong correlation with genus Staphylococcus in SLE patients. The changes in the composition and abundance of cutaneous microbiota in SLE patients suggest that the microbial dysbiosis is associated with the pathogenesis of SLE, which may be potentially reliable biomarker or therapeutic target for SLE.

Keywords: Cutaneous microbiome; Skin lesion; Staphylococcus; Systemic lupus erythematosus.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biodiversity
  • Biomarkers
  • Case-Control Studies
  • Dermatitis / etiology*
  • Dermatitis / pathology
  • Dysbiosis*
  • Female
  • Humans
  • Lupus Erythematosus, Systemic / complications*
  • Male
  • Microbiota*
  • ROC Curve
  • Skin / microbiology*

Substances

  • Biomarkers