# Exploring Interaction Networks of Indoor Environmental Microbiome and Mycobiome in Asthmatic and Healthy Subjects: Insights from the COBRA-ENV 2 Study

Louise-Eva Vandenborght, Marta Avalos, Camila Labarca, Vishwa Elankumaran, Raphaël Enaud, Laurence Delhaes

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## ► To cite this version:

Louise-Eva Vandenborght, Marta Avalos, Camila Labarca, Vishwa Elankumaran, Raphaël Enaud, et al. Exploring Interaction Networks of Indoor Environmental Microbiome and Mycobiome in Asthmatic and Healthy Subjects: Insights from the COBRA-ENV 2 Study. IUMS 2024 - International Union of Microbiological Societies, Oct 2024, Firenze, Italy. hal-04755097

HAL Id: hal-04755097

https://inria.hal.science/hal-04755097v1

Submitted on 26 Oct 2024

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# EXPLORING INTERACTION NETWORKS OF INDOOR ENVIRONMENTAL MICROBIOME AND MYCOBIOME IN ASTHMATIC AND HEALTHY SUBJECTS: INSIGHTS FROM THE COBRA-ENV 2 STUDY

Louise-Eva Vandenborgh¹, Marta Avalos-Fernandez², Camila Labarca², Vishwa Elankumaran², Raphaël Enaud³, Laurence Delhaes³,⁴

1. Genoscreen, Microbiota Team, Research And Development, Lille, France, 2. University of Bordeaux - Inria - Inserm, Public Health - Biostatistics, Bordeaux, France, 3. Univ-Bordeaux, Centre de Recherche Cardio-thoracique de Bordeaux, U1045, CIC 1401, Bordeaux, France, 4. Laboratoire de Parasitologie-Mycologie, CIC 1401, CHU de Bordeaux, Bordeaux, France

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## Methods:

We enrolled 43 asthma patients from the national Cohort of Bronchial Obstruction and Asthma (COBRA) cohort and 20 controls (healthy individuals living in non-asthmatic, non-respiratory allergic households).

We analyzed indoor microbial flora using electrostatic dust collectors (EDCs) under standardized conditions. Amplicon targeted metagenomics was employed to compare microbial communities from EDC samples.

## Background and Aims:

The relationship between bacterial and fungal environmental exposures and asthma has been extensively researched. However, these communities are often studied separately in the literature.

Network analysis offers a means to explore the interactions between bacterial and fungal communities, providing insight into the complex organization of microbial communities in disease.

This study aimed to investigate differences in indoor microbiome interaction networks between individuals with asthma and healthy controls, while adjusting for demographic and environmental factors.

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Demographic (sex, age, municipality), environmental (rural/urban residence, humidity, coastal wetland proximity, pollen index, air quality) & indoor environmental characteristics (mold) were collected.

Interaction networks were inferred for bacterial and fungal relative abundances in cases and controls, while considering significant demographic and environmental factors.

## Results:

The abundances of bacterial genera and fungal species were studied for both cases and controls. Age and rural/urban residence showed significant associations with alpha-diversity. Patients with asthma demonstrated reduced interactions both within and between kingdoms compared to controls.

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## Cases

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## Controls

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## References:

- Chiquet et al. Variational inference for sparse network reconstruction from count data. ICML 2019.

- Rocchi et al. Indoor Microbiome: Quantification of Exposure and Association with Geographical Location, Meteorological Factors, and Land Use in France. Microorganisms, 2020.

- Salaun-Ferron et al. Association between indoor environmental microbiota of living spaces and chronic asthma and respiratory allergies in Europe: A systematic review. In: WoM 2023.

- Vandenborgh et al. Type 2-high asthma is associated with a specific indoor mycobiome and microbiome. J. Allergy Clin. Immunol, 2021.

## Conclusions:

Our findings underscore the importance of understanding the interactions between indoor microbiome, mycobiome, and host in asthma pathogenesis.