Neisseria species as pathobionts in bronchiectasis

Liang Li(Southern University of Science and Technology), Micheál Mac Aogáin(University of Dundee), Tengfei Xu(Nanyang Technological University), Tavleen Kaur Jaggi(Nanyang Technological University), Louisa Chan(Nanyang Technological University), Jing Qu(Shenzhen Institutes of Advanced Technology), Lan Wei(Shenzhen Institutes of Advanced Technology), Shumin Liao(Shenzhen Institutes of Advanced Technology), Hong Sheng Cheng(Nanyang Technological University), Holly R. Keir(University of Dundee), Alison Dicker(University of Dundee), Kai Sen Tan(National University of Singapore), Wang De Yun(National University of Singapore), Mariko Siyue Koh(Singapore General Hospital), Thun How Ong(Nanyang Technological University), Albert Yick Hou Lim(Tan Tock Seng Hospital), John Abisheganaden(Nanyang Technological University), Teck Boon Low(Changi General Hospital), Tidi Hassan(National University of Malaysia), Xiang Long(Peking University Shenzhen Hospital), Peter Wark(John Hunter Hospital), Brian G. Oliver(University of Technology Sydney), Daniela I. Drautz‐Moses(Nanyang Technological University), Stephan C. Schuster(Nanyang Technological University), Nguan Soon Tan(National University of Singapore), Mingliang Fang(Nanyang Technological University), James D. Chalmers(University of Dundee), Sanjay H. Chotirmall(Nanyang Technological University)
Cell Host & Microbe
September 1, 2022
Cited by 84Open Access
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Abstract

Neisseria species are frequently identified in the bronchiectasis microbiome, but they are regarded as respiratory commensals. Using a combination of human cohorts, next-generation sequencing, systems biology, and animal models, we show that bronchiectasis bacteriomes defined by the presence of Neisseria spp. associate with poor clinical outcomes, including exacerbations. Neisseria subflava cultivated from bronchiectasis patients promotes the loss of epithelial integrity and inflammation in primary epithelial cells. In vivo animal models of Neisseria subflava infection and metabolipidome analysis highlight immunoinflammatory functional gene clusters and provide evidence for pulmonary inflammation. The murine metabolipidomic data were validated with human Neisseria-dominant bronchiectasis samples and compared with disease in which Pseudomonas-, an established bronchiectasis pathogen, is dominant. Metagenomic surveillance of Neisseria across various respiratory disorders reveals broader importance, and the assessment of the home environment in bronchiectasis implies potential environmental sources of exposure. Thus, we identify Neisseria species as pathobionts in bronchiectasis, allowing for improved risk stratification in this high-risk group.


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