PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 42242279

Diversity analysis of indoor and outdoor fungal bioaerosols in UK households: a prospective, observational, longitudinal study.

Samuel J Hemmings·Diana Varaden·Jessica Barnes·Munira S Elmi·Adam Skillern·Benjamin Barratt·Ian S Mudway·David C Green·Frank J Kelly·Matthew C Fisher
View original source ↗Export metadata ↓

Abstract

BACKGROUND: Long-term exposure to indoor fungal bioaerosols is a recognised risk factor for respiratory illness, particularly in damp and poorly ventilated housing. However, the diversity and seasonal variability of these fungal communities are poorly understood. As part of the West London Healthy Home and Environment Study (WellHome), this study aimed to characterise the composition, diversity, and temporal dynamics of indoor fungal bioaerosols in urban UK homes, as compared with outdoor air, to inform future exposure baselines and policy development. METHODS: In this prospective, community-based observational study, 118 households were recruited across West London, UK, via community networks and partner organisations, prioritising families with children aged 5-17 years with asthma or allergies, from diverse socioeconomic backgrounds. Sampling occurred between Oct 3, 2022, and June 14, 2024. Participant data were collected via questionnaires completed by household members, capturing demographics, building characteristics, and respiratory health. Passive-air samplers were used in living rooms for 28 days during two seasonal campaigns, with concurrent outdoor sampling at four fixed community sites. Fungal bioaerosols were identified by ITS2 amplicon sequencing and quantified using broad-range quantitative PCR targeting the 18S rRNA gene. Diversity indexes and temporal dynamics were analysed using ecological statistics and generalised additive models. FINDINGS: 118 households were enrolled, comprising 504 residents (263 women, 237 men, and four not reported). Among 504 participants who self-identified, the largest groups comprised individuals identifying as Black African (n=47), Somali (n=46), White British (n=42), and African (n=38), with additional representation from mixed race ethnic backgrounds (n=29), Black British (n=27), White (n=22), and Black Caribbean (n=18), alongside several other ethnicities each represented at lower frequencies. Of 118 households, 104 completed both seasonal campaigns and 14 completed one, yielding 262 air samples (222 indoor and 40 outdoor). DNA was successfully recovered from all samples, identifying 2027 fungal genera. Indoor environments showed significantly higher richness (mean 646 vs 495 amplicon sequence variants; p<0&#xb7;0001) and Shannon diversity (4&#xb7;21 vs 3&#xb7;53; p<0&#xb7;0001) than outdoors. Community composition differed markedly (permutational multivariate ANOVA p<0&#xb7;0001), with Penicillium, Aspergillus, and Wallemia enriched indoors. Indoor fungal communities presented stronger seasonal cycling (R2=0&#xb7;203) than outdoor communities (R2=0&#xb7;012). Fungal burden across all homes had a median 11&#x2009;043 genomic equivalence (GE); IQR 4598-20&#x2009;579 GE. The highest levels were observed in homes with visible mould; one household showed elevated Aspergillus exposure linked to repeated asthma hospitalisations in a sensitised resident. INTERPRETATION: Indoor fungal bioaerosols are more diverse and dynamic than outdoor communities in urban UK homes. These findings establish foundational exposure data and highlight the need for incorporating fungal bioaerosol monitoring into public health policy to mitigate mould-related health risks. FUNDING: UK Research and Innovation (UKRI) Strategic Priorities Fund (SPF) Clean Air Programme.

Explore related subjects

HumansFungiAir MicrobiologyProspective StudiesAir Pollution, IndoorChildLongitudinal StudiesMaleAdolescentAerosolsChild, PreschoolFemaleFamily CharacteristicsHousingUnited KingdomSeasonsBiodiversityJournal ArticleObservational StudyResearch Support, Non-U.S. Gov't

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Samuel J Hemmings, Diana Varaden, Jessica Barnes, Munira S Elmi, Adam Skillern, Benjamin Barratt, Ian S Mudway, David C Green, Frank J Kelly, Matthew C Fisher. 2026-06-04. Diversity analysis of indoor and outdoor fungal bioaerosols in UK households: a prospective, observational, longitudinal study.. https://doi.org/10.1016/j.lanmic.2026.101379

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2027

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗
PubMed2027

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗
PubMed2027

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗