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The gut microbiome is a significant risk factor for future chronic lung disease - 05/04/23

Doi : 10.1016/j.jaci.2022.12.810 
Yang Liu, PhD a, b, , Shu Mei Teo, PhD b, c, d, Guillaume Méric, PhD b, Howard H.F. Tang, PhD b, c, Qiyun Zhu, PhD e, f, Jon G. Sanders, PhD g, Yoshiki Vázquez-Baeza, PhD h, Karin Verspoor, PhD i, j, Ville A. Vartiainen, MD, PhD k, l, m, Pekka Jousilahti, MD, PhD k, Leo Lahti, DSc n, Teemu Niiranen, MD, PhD k, o, Aki S. Havulinna, PhD k, p, Rob Knight, PhD h, q, r, Veikko Salomaa, MD, PhD k, Michael Inouye, PhD a, b, c, s, t, u, v, w,
a Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, Australia 
b Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Australia 
c Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom 
d Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia 
e School of Life Sciences, Arizona State University, Tempe, Ariz 
f Biodesign Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, Ariz 
g Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 
h Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, Calif 
i School of Computing Technologies, RMIT University, Melbourne, Australia 
j School of Computing and Information Systems, The University of Melbourne, Melbourne, Australia 
k Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland 
l Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland 
m Department of Pulmonary Medicine, Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland 
n Department of Computing, University of Turku, Turku, Finland 
o Division of Medicine, Turku University Hospital and University of Turku, Turku, Finland 
p Institute for Molecular Medicine Finland, FIMM-HiLIFE, University of Helsinki, Helsinki, Finland 
q Department of Computer Science and Engineering, University of California San Diego, La Jolla, Calif 
r Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, Calif 
s British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom 
t British Heart Foundation Cambridge Centre of Research Excellence, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom 
u Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom 
v The Alan Turing Institute, London, United Kingdom 
w Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom 

Corresponding author: Yang Liu, PhD, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne, VIC 3010, Australia.Department of Clinical PathologyThe University of MelbourneParkvilleMelbourneVIC 3010Australia∗∗Michael Inouye, PhD, Department of Public Health and Primary Care, The University of Cambridge, Worts Causeway, Cambridge, CB1 8RN, United Kingdom.Department of Public Health and Primary CareThe University of CambridgeWorts CausewayCambridgeCB1 8RNUnited Kingdom

Abstract

Background

The gut-lung axis is generally recognized, but there are few large studies of the gut microbiome and incident respiratory disease in adults.

Objective

We sought to investigate the association and predictive capacity of the gut microbiome for incident asthma and chronic obstructive pulmonary disease (COPD).

Methods

Shallow metagenomic sequencing was performed for stool samples from a prospective, population-based cohort (FINRISK02; N = 7115 adults) with linked national administrative health register–derived classifications for incident asthma and COPD up to 15 years after baseline. Generalized linear models and Cox regressions were used to assess associations of microbial taxa and diversity with disease occurrence. Predictive models were constructed using machine learning with extreme gradient boosting. Models considered taxa abundances individually and in combination with other risk factors, including sex, age, body mass index, and smoking status.

Results

A total of 695 and 392 statistically significant associations were found between baseline taxonomic groups and incident asthma and COPD, respectively. Gradient boosting decision trees of baseline gut microbiome abundance predicted incident asthma and COPD in the validation data sets with mean area under the curves of 0.608 and 0.780, respectively. Cox analysis showed that the baseline gut microbiome achieved higher predictive performance than individual conventional risk factors, with C-indices of 0.623 for asthma and 0.817 for COPD. The integration of the gut microbiome and conventional risk factors further improved prediction capacities.

Conclusions

The gut microbiome is a significant risk factor for incident asthma and incident COPD and is largely independent of conventional risk factors.

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Key words : Gut, microbiome, metagenomics, asthma, COPD

Abbreviations used : AUC, BMI, CLR, COPD, EHR, HR


Plan


 V.S. was supported by the Finnish Foundation for Cardiovascular Research and by Juho Vainio Foundation. M.I. was supported by the Munz Chair of Cardiovascular Prediction and Prevention. A.S.H. was supported by the Academy of Finland (grant no. 321356). L.L. was supported by the Academy of Finland (grant nos. 295741 and 328791). T.N. was supported by the Emil Aaltonen Foundation, the Finnish Foundation for Cardiovascular Research, the Sigrid Jusélius Foundation, and the Academy of Finland (grant no. 321351). This study was supported by the Victorian government’s Operational Infrastructure Support program and by core funding from the British Heart Foundation (grant nos. RG/13/13/30194 and RG/18/13/33946) and the NIHR Cambridge Biomedical Research Centre (grant no. BRC-1215-20014). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. This work was supported by Health Data Research UK, which is funded by the UK Medical Research Council, the Engineering and Physical Sciences Research Council, the Economic and Social Research Council, the Department of Health and Social Care (England), the Chief Scientist Office of the Scottish Government Health and Social Care Directorates, the Health and Social Care Research and Development Division (Welsh Government), the Public Health Agency (Northern Ireland), the British Heart Foundation, and Wellcome.
 Disclosure of potential conflict of interest: V. Salomaa has received honoraria from Sanofi for consulting and also has ongoing research collaboration with Bayer Ltd (all outside this study). The rest of the authors declare that they have no relevant conflicts of interest.


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Vol 151 - N° 4

P. 943-952 - avril 2023 Retour au numéro
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