Biomedical subjects

Clare M Smith

Publications and source records attributed to Clare M Smith.

3 recordsLinked to original sources

PubMed2026

Host eicosanoid signals define a granuloma fibroblast population that coordinates mycobacterial containment.

Genetic variation at the leukotriene A4 hydrolase (LTA4H) locus is associated with tuberculosis (TB) severity and outcome. Here, we define a unique population of peripheral fibroblasts at the mycobacterial granuloma, the central immune structure in TB, whose recruitment and functions are coordinated by lta4h-dependent signals. Using single-cell profiling of zebrafish mycobacterial infections, we identify a layer of lta4h-dependent recruited fibroblasts at the granuloma's edge with mesenchymal and stem-like expression signatures, including aldh1a3 expression. Ablation of these cells compromises bacterial containment at the structure's periphery. Similarly, genetic disruption of apolipoprotein D, produced specifically in granuloma-associated fibroblasts, results in an altered eicosanoid balance, decreased inflammation, and increased dissemination of infection. In humans, this granuloma-associated fibroblast population is distinct from myofibroblasts, interacts with LTA4H-expressing macrophages, and is prominent across diverse TB granuloma types. These results link a host genetic susceptibility locus to the recruitment and function of a specialized fibroblast population that limits bacterial dissemination.

Animals↗

PubMed2025

Cathepsin Z is a conserved susceptibility factor underlying tuberculosis severity.

Tuberculosis (TB) outcomes vary widely, from asymptomatic infection to mortality, yet most animal models do not recapitulate human phenotypic and genotypic variation. The genetically diverse Collaborative Cross mouse panel models distinct facets of TB disease that occur in humans and allows identification of genomic loci underlying clinical outcomes. We previously mapped a TB susceptibility locus on mouse chromosome 2. Here, we identify cathepsin Z (Ctsz) as a lead candidate underlying this TB susceptibility and show that Ctsz ablation leads to increased bacterial burden, pulmonary inflammation and decreased survival in mice. Ctsz disturbance within murine macrophages enhances production of chemokine (C-X-C motif) ligand 1 (CXCL1), a known biomarker of TB severity. From a Ugandan household contact study, we identify significant associations between CTSZ variants and TB disease severity. Finally, we examine patient-derived TB granulomas and report CTSZ localization within granuloma-associated macrophages, placing human CTSZ at the host-pathogen interface. These findings implicate a conserved CTSZ-CXCL1 axis in humans and genetically diverse mice that mediates TB disease severity.

Animals↗

PubMed2025

The Mycobacterium tuberculosis Transposon Sequencing Database (MtbTnDB): A Large-Scale Guide to Genetic Conditional Essentiality.

Characterizing genetic essentiality across various conditions is fundamental for understanding gene function. Transposon sequencing (TnSeq) is a powerful technique to generate genome-wide essentiality profiles in bacteria and has been extensively applied to Mycobacterium tuberculosis (Mtb). Dozens of TnSeq screens have yielded valuable insights into the biology of Mtb in vitro, inside macrophages, and in model host organisms. Despite their value, these Mtb TnSeq profiles have not been standardized or collated into a single, easily searchable database. This results in significant challenges when attempting to query and compare these resources, limiting our ability to obtain a comprehensive and consistent understanding of genetic conditional essentiality in Mtb. We address this problem by building a central repository of publicly available Mtb TnSeq screens, the Mtb transposon sequencing database (MtbTnDB). The MtbTnDB is a living resource that encompasses to date ≈150 standardized TnSeq screens, enabling open access to data, visualizations, and functional predictions through an interactive web app (www.mtbtndb.app). We conduct several statistical analyses on the complete database, such as demonstrating that (i) genes in the same genomic neighborhood have similar TnSeq profiles, and (ii) clusters of genes with similar TnSeq profiles are enriched for genes from similar functional categories. We further analyze the performance of machine learning models trained on TnSeq profiles to predict the functional annotation of orphan genes in Mtb. By facilitating the comparison of TnSeq screens across conditions, the MtbTnDB will accelerate the exploration of conditional genetic essentiality, provide insights into the functional organization of Mtb genes, and help predict gene function in this important human pathogen.

DNA Transposable Elements↗