Hao-Yue Zhou1,2, Nv-Wei Cao1,2, Biao Guo3, Wen-Jun Chen4, Jin-Hui Tao5, Xiu-Jie Chu1,2, Xiang Meng6, Tian-Xiang Zhang7, Bao-Zhu Li1,2. 1. Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China. 2. Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China. 3. Department of Human Resource, The Second Affiliated Hospital of Anhui Medical University, Hefei, China. 4. Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, China. 5. Department of Rheumatology & Immunology, Anhui Provincial Hospital, Hefei, China. 6. College & Hospital of Stomatology, Anhui Medical University, Hefei, China. 7. Department of Clinical Medicine, Second Clinical Medical College, Anhui Medical University, Hefei, China.
Abstract
OBJECTIVE: The skin is the second most affected organ after articular involvement in systemic lupus erythematosus (SLE) patients. Cutaneous involvement occurs in approximately 80% of patients during the course of SLE. Interaction between the host and skin microorganism is a complex process. There are few studies on the diversity of skin microbes in SLE patients. Therefore, this study aims to explore the relationship between skin microorganisms and SLE. METHODS: A total of 20 SLE patients, 20 controls with rosacea and 20 healthy controls were selected as study subjects. Both the skin microbiota of rash region and non-rash region for each SLE patient were collected.16S rRNA gene sequencing was used to detected skin microbiota from 80 specimens. α-Diversity and β-diversity of skin microbiota were analyzed based on operational taxonomic units (OTUs) and minimal entropy decomposition (MED). Using Wilcoxon test and Linear Discriminate Analysis Effect Size (LEfSe), skin microbial diversity and composition were analyzed. Functional capabilities of microbiota were estimated through Kyoto Encyclopedia of Genes and Genomes database. RESULTS: Compared to rash region of SLE, diversity and richness were increased in healthy controls, and decreased in non-rash region of SLE and rash region of controls with rosacea. Additionally, changes of skin microbial composition were found at different taxonomic levels between four groups. For example, genus Halomonas was increased and genera Pelagibacterium, Novosphingobium, and Curvibacter were decreased in rash region compared to non-rash region of SLE based on OTUs and MED. Based on OTUs, metabolic pathways were also found differences in SLE patients, such as Xenobiotics Biodegradation and Metabolism. CONCLUSION: Compositions and diversity of skin microbiota in SLE patients are changed. This pilot study provides some suggestive evidence for further exploration of skin microbiota in SLE patients with cutaneous involvement.
OBJECTIVE: The skin is the second most affected organ after articular involvement in systemic lupus erythematosus (SLE) patients. Cutaneous involvement occurs in approximately 80% of patients during the course of SLE. Interaction between the host and skin microorganism is a complex process. There are few studies on the diversity of skin microbes in SLE patients. Therefore, this study aims to explore the relationship between skin microorganisms and SLE. METHODS: A total of 20 SLE patients, 20 controls with rosacea and 20 healthy controls were selected as study subjects. Both the skin microbiota of rash region and non-rash region for each SLE patient were collected.16S rRNA gene sequencing was used to detected skin microbiota from 80 specimens. α-Diversity and β-diversity of skin microbiota were analyzed based on operational taxonomic units (OTUs) and minimal entropy decomposition (MED). Using Wilcoxon test and Linear Discriminate Analysis Effect Size (LEfSe), skin microbial diversity and composition were analyzed. Functional capabilities of microbiota were estimated through Kyoto Encyclopedia of Genes and Genomes database. RESULTS: Compared to rash region of SLE, diversity and richness were increased in healthy controls, and decreased in non-rash region of SLE and rash region of controls with rosacea. Additionally, changes of skin microbial composition were found at different taxonomic levels between four groups. For example, genus Halomonas was increased and genera Pelagibacterium, Novosphingobium, and Curvibacter were decreased in rash region compared to non-rash region of SLE based on OTUs and MED. Based on OTUs, metabolic pathways were also found differences in SLE patients, such as Xenobiotics Biodegradation and Metabolism. CONCLUSION: Compositions and diversity of skin microbiota in SLE patients are changed. This pilot study provides some suggestive evidence for further exploration of skin microbiota in SLE patients with cutaneous involvement.
Authors: Pedro Mendes-Bastos; Ana Brasileiro; Pavel Kolkhir; Stefan Frischbutter; Jörg Scheffel; Sherezade Moñino-Romero; Marcus Maurer Journal: Allergy Date: 2022-02-28 Impact factor: 14.710