Lung microbiota predict invasive pulmonary aspergillosis and its outcome in immunocompromised patients

Author:

Hérivaux Anaïs,Willis Jesse R,Mercier Toine,Lagrou Katrien,Gonçalves Samuel M,Gonçales Relber A,Maertens Johan,Carvalho Agostinho,Gabaldón Toni,Cunha CristinaORCID

Abstract

RationaleRecent studies have revealed that the lung microbiota of critically ill patients is altered and predicts clinical outcomes. The incidence of invasive fungal infections, namely, invasive pulmonary aspergillosis (IPA), in immunocompromised patients is increasing, but the clinical significance of variations in lung bacterial communities is unknown.ObjectivesTo define the contribution of the lung microbiota to the development and course of IPA.Methods and measurementsWe performed an observational cohort study to characterise the lung microbiota in 104 immunocompromised patients using bacterial 16S ribosomal RNA gene sequencing on bronchoalveolar lavage samples sampled on clinical suspicion of infection. Associations between lung dysbiosis in IPA and pulmonary immunity were evaluated by quantifying alveolar cytokines and chemokines and immune cells. The contribution of microbial signatures to patient outcome was assessed by estimating overall survival.Main resultsPatients diagnosed with IPA displayed a decreased alpha diversity, driven by a markedly increased abundance of the Staphylococcus, Escherichia, Paraclostridium and Finegoldia genera and a decreased proportion of the Prevotella and Veillonella genera. The overall composition of the lung microbiome was influenced by the neutrophil counts and associated with differential levels of alveolar cytokines. Importantly, the degree of bacterial diversity at the onset of IPA predicted the survival of infected patients.ConclusionsOur results reveal the lung microbiota as an understudied source of clinical variation in patients at risk of IPA and highlight its potential as a diagnostic and therapeutic target in the context of respiratory fungal diseases.

Funder

National Institute of Bioinformatics

Catalan Research Agency

“la Caixa” Foundation

Horizon 2020 Framework Programme

Fundação para a Ciência e a Tecnologia

Ministerio de Ciencia e Innovación

European Regional Development Fund

Publisher

BMJ

Subject

Pulmonary and Respiratory Medicine

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