Albert M Levin | Search PubMed

PubMed2026

Genome-wide association study of asthma with high treatment burden and/or worse outcomes defined using electronic healthcare data in UK Biobank.

BACKGROUND: In ∼10% of asthma patients, symptoms remain uncontrolled despite maximal treatment, representing an unmet clinical need. The causal variants, genes and pathways underlying genetic risk factors have not been fully elucidated, and it is unclear whether there are unique genetic risk factors for this asthma subtype. METHODS: We used electronic healthcare records linked to UK Biobank to identify asthma patients with high treatment burden and/or worse outcomes. We performed a genome-wide association study (GWAS) with this case population and healthy controls. We sought replication for associated (p≤5×10-6) signals in four independent studies (12 152 cases and 32 316 controls). Replicated signals were fine-mapped and linked to genes and pathways. RESULTS: In total, 7681 participants met our case definition and showed enrichment for adult-onset asthma, female gender and higher body mass index compared to asthma individuals not meeting case criteria. GWAS with 7681 cases and 38 405 controls revealed 21 reproducible association signals that had previously been associated with asthma, but had a larger effect size in our study. Variant-to-gene mapping highlighted 85 candidate genes, five of which were considered high confidence (BACH2, D2HGDH, IL1RL1, RPS26, SMAD3). CONCLUSION: We present the first use of electronic healthcare records in UK Biobank to identify a subtype of asthma enriched for patients with high treatment burden and/or worse outcomes. Our findings support the role of known asthma genes, highlighting genetic risk variants with stronger effect in these groups of patients. The prioritised genes provide potential therapeutic opportunities for this difficult-to-treat patient population.

Journal Article↗

PubMed2026

Environmental benzene exposure induces a conserved neutrophil degranulation program across species.

Immune systems have evolved under constant pressure from pathogens and environmental challenges, leading to the emergence of conserved defense mechanisms across diverse organisms. Evidence indicates that environmental exposures perturb immune regulatory networks, particularly during development, when transcriptional programs governing hematopoiesis, immune cell differentiation, and inflammatory signaling are highly dynamic and sensitive to external stressors. Volatile organic compounds represent an important but incompletely understood source of immunological perturbation. Among these, benzene is a ubiquitous environmental contaminant associated with hematotoxicity and immune dysregulation; however, transcriptional responses to environmentally relevant low-level exposures during development remain poorly characterized. To determine whether benzene exposure engages conserved cross-species immune regulatory pathways, we performed a comparative transcriptomic analysis integrating developmental tissues from 3 vertebrate systems: human placenta, murine placenta, and zebrafish larvae. Bulk RNA sequencing datasets were analyzed to identify transcriptional responses associated with benzene exposure in experimental models (≤5 ppm) and with benzene adduct levels in maternal plasma for human samples. Because placental gene expression exhibits strong sexual dimorphism, murine datasets were stratified by fetal sex. Pathway- and network-level analyses were used to identify conserved biological responses. We observed a striking convergence on activation of innate immune pathways associated with neutrophil degranulation, IL-8 signaling, and Rho GTPase-mediated inflammatory responses. Further, network analyses identified CXCL8 and ERK1/2 as shared regulatory hubs linking transcriptional responses across datasets. Together, these findings uncover an evolutionarily conserved innate immune signature associated with benzene exposure during vertebrate development, suggesting that environmental chemical perturbations may disrupt fundamental immune regulatory programs across species.

Animals↗