Bin Chen1, Jingwen Wang2, Ying Wang3, Jiaming Zhang2, Changying Zhao2, Nan Shen3, Junjie Yang4, Zhongtao Gai5, Lei Zhang6. 1. Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Chemistry and Environment, Beihang University, Beijing 100191, China; Research Institute of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan 250022, China. 2. College of Life Science, Shandong Normal University, Jinan 250014, China. 3. Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China; Research Institute of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan 250022, China. 4. College of Life Science, Qilu Normal University, Jinan 250200, China. Electronic address: microbiota@foxmail.com. 5. Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China; Research Institute of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan 250022, China. Electronic address: gaizhongtao@sina.com. 6. Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Chemistry and Environment, Beihang University, Beijing 100191, China; Qingdao Human Microbiome Center, The Affiliated Central Hospital of Qingdao University, Qingdao 266042, China. Electronic address: microbiome@foxmail.com.
Abstract
BACKGROUND: The pathogenesis of microbes in allergic diseases has been demonstrated and our previous research indicates that microbiota causing gut disorders in children is associated with Henoch-Schönlein Purpura. However, the role of oral microbiota in Henoch-Schönlein Purpura remains unknown. METHOD: A total of 164 children were enrolled, of which 98 were patients with HSP and 66 were healthy children. Oral swab samples were collected for DNA extraction and 16S rRNA gene sequencing, then analyzed for oral microbiota composition. RESULTS: Oral microbiota differed between healthy children and those with HSP. Children with HSP exhibited higher oral microbial diversity and richness than the controls. Firmicutes, Proteobacteria, and Bacteroidetes are the dominant phyla in children with HSP. We used linear discriminant analysis (LDA) effect size (LEfSe) algorithm and detected 21 bacterial taxonomic clades showing statistical differences (12 increased and 9 decreased) in children with HSP. The correlation analyses between clinical data and abundance in microbial community indicated that an abundance of Butyrivibrio sp. negatively correlated with the length of hospital stay (LOS). Haemophilus sp. negatively correlated to IgE and IgM but positively correlated to LOS, with decreasing significantly in patients with HSP. Prevotella positively correlated with IgM. Prevotella nanceiensis positively correlated with IgA, and were abundant in children with HSP. CONCLUSIONS: These results indicate that children with HSP have significantly different oral microbiota compared to healthy children. Although this study does not imply causality, it is helpful to identify the types and pathways of bacteria that can be used to prevent or treat HSP.
BACKGROUND: The pathogenesis of microbes in allergic diseases has been demonstrated and our previous research indicates that microbiota causing gut disorders in children is associated with Henoch-Schönlein Purpura. However, the role of oral microbiota in Henoch-Schönlein Purpura remains unknown. METHOD: A total of 164 children were enrolled, of which 98 were patients with HSP and 66 were healthy children. Oral swab samples were collected for DNA extraction and 16S rRNA gene sequencing, then analyzed for oral microbiota composition. RESULTS: Oral microbiota differed between healthy children and those with HSP. Children with HSP exhibited higher oral microbial diversity and richness than the controls. Firmicutes, Proteobacteria, and Bacteroidetes are the dominant phyla in children with HSP. We used linear discriminant analysis (LDA) effect size (LEfSe) algorithm and detected 21 bacterial taxonomic clades showing statistical differences (12 increased and 9 decreased) in children with HSP. The correlation analyses between clinical data and abundance in microbial community indicated that an abundance of Butyrivibrio sp. negatively correlated with the length of hospital stay (LOS). Haemophilus sp. negatively correlated to IgE and IgM but positively correlated to LOS, with decreasing significantly in patients with HSP. Prevotella positively correlated with IgM. Prevotella nanceiensis positively correlated with IgA, and were abundant in children with HSP. CONCLUSIONS: These results indicate that children with HSP have significantly different oral microbiota compared to healthy children. Although this study does not imply causality, it is helpful to identify the types and pathways of bacteria that can be used to prevent or treat HSP.
Authors: Alexia Vinel; Antoine Al Halabi; Sébastien Roumi; Hélène Le Neindre; Pierre Millavet; Marion Simon; Constance Cuny; Jean-Sébastien Barthet; Pierre Barthet; Sara Laurencin-Dalicieux Journal: Adv Exp Med Biol Date: 2022 Impact factor: 2.622
Authors: Anders Esberg; Linda Johansson; Ewa Berglin; Aladdin J Mohammad; Andreas P Jonsson; Johanna Dahlqvist; Bernd Stegmayr; Ingegerd Johansson; Solbritt Rantapää-Dahlqvist Journal: Microorganisms Date: 2022-08-04