Search bioRxiv⌕ Search

Biology subjects

Kapellos, T.

Publications and source records attributed to Kapellos, T..

2 recordsLinked to original sources

Early-stage idiopathic pulmonary fibrosis is characterized by bronchoalveolar accumulation of SPP1+ macrophages

Patients affected by idiopathic pulmonary fibrosis (IPF), a progressive chronic and eventually fatal lung disease with unknown cause, suffer from delayed diagnosis and limited personalized treatment options due to the lack of predictive and staging relevant disease markers. Prior studies focused on the cellular and transcriptomic changes found in lung tissue during terminal IPF-associated lung fibrosis. In clinical routine, bronchoscopy is applied for diagnosis and staging of suspected IPF affected individuals, thus providing us with a clinically applicable window, to study the cellular and transcriptional changes within affected individuals at the time of diagnosis. Here we study a cohort consisting of 11 IPF affected individuals and 11 healthy controls. We investigate their single cell transcriptomic profile alongside the surface phenotype of alveolar-resident immune cells. Single cell transcriptional analysis reveals accumulation of SPP1+ macrophages (SPP1+M{varphi}) within the alveolar space during early stage diagnosed IPF, in the absence of a decline in lung function. SPP1+M{varphi} were characterized by high expression of lipid storage and handling genes, accumulation of intracellular cholesterol and expression of proinflammatory cytokine expression. In silico developmental trajectory analysis revealed that SPP1+M{varphi} are likely derived from classical monocytes. Finally, to confirm the clinical diagnostic value of SPP1+ M{varphi}, we developed a flow cytometry panel to rapidly identify and test for the presence of SPP1+ M{varphi} in bronchoalveolar lavage samples. The new panel has confirmed the increased frequency of SPP1+ M{varphi} in early-IPF in an independent validation cohort. Taken together, we show that SPP1+ M{varphi} are associated with early IPF pathogenesis in the absence of a decline in lung function, thus providing a clinically valuable markers for diagnosis of early IPF in clinical practice. HighlightsO_LIIPF patients can be stratified into early and advanced disease groups based on clinical features. C_LIO_LISingle cell transcriptomic and high dimensional flow cytometry enabled mapping of the myeloid compartment across the continuum of idiopathic pulmonary fibrosis associated disease states. C_LIO_LISPP1+M{varphi} accumulated during early clinical stage of IPF. C_LIO_LIDevelopment of a clinically applicable SPP1M{varphi} identification panel. C_LI

immunology↗

An integrated cell atlas of the human lung in health and disease

Organ- and body-scale cell atlases have the potential to transform our understanding of human biology. To capture the variability present in the population, these atlases must include diverse demographics such as age and ethnicity from both healthy and diseased individuals. The growth in both size and number of single-cell datasets, combined with recent advances in computational techniques, for the first time makes it possible to generate such comprehensive large-scale atlases through integration of multiple datasets. Here, we present the integrated Human Lung Cell Atlas (HLCA) combining 46 datasets of the human respiratory system into a single atlas spanning over 2.2 million cells from 444 individuals across health and disease. The HLCA contains a consensus re-annotation of published and newly generated datasets, resolving under- or misannotation of 59% of cells in the original datasets. The HLCA enables recovery of rare cell types, provides consensus marker genes for each cell type, and uncovers gene modules associated with demographic covariates and anatomical location within the respiratory system. To facilitate the use of the HLCA as a reference for single-cell lung research and allow rapid analysis of new data, we provide an interactive web portal to project datasets onto the HLCA. Finally, we demonstrate the value of the HLCA reference for interpreting disease-associated changes. Thus, the HLCA outlines a roadmap for the development and use of organ-scale cell atlases within the Human Cell Atlas.

cell biology↗