Type I interferon-activated myeloid states are associated with less fibrotic stages in idiopathic pulmonary fibrosis

Early immune processes in idiopathic pulmonary fibrosis (IPF) are poorly defined. Here, we integrate single-cell transcriptomics of lung digests and bronchoalveolar-lavaged cells ( n = 108 patients), subcellular-resolution tissue spatial transcriptomics, and single-cell phospho-CyTOF of blood cells to define myeloid states associated with early stages of fibrosis. Two distinct myeloid gene transcriptional programs are increased in IPF compared to non-diseased controls—type I interferon-activated and fibrotic remodeling programs. At cell, organ, and patient levels, cell types with increased type I interferon-activated program ( FABP4 hi alveolar macrophages, classical monocytes, interstitial macrophages, and/or non-classical monocytes) are associated with architecturally better-preserved lung tissue, the alveolar barrier, and less fibrotic lung, or less severe disease. Circulating monocytes exhibit heightened type I interferon response that inversely correlate with severity of clinical disease. Our findings show that myeloid cells with increased type I interferon-activated gene programs are associated with less fibrotic stages of IPF.

Authors

Institutions

Publication Details

Journal
Cell Reports
Published
2026-08-21
DOI
https://doi.org/10.1016/j.celrep.2026.117881
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Type I interferon-activated myeloid states are associated with less fibrotic stages in idiopathic pulmonary fibrosis

Sabrina Zulfikar, Vishal Nathwani, Agne Antanaviciute, Laura Denney et al.
Cell Reports
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
article

Type I interferon-activated myeloid states are associated with less fibrotic stages in idiopathic pulmonary fibrosis

Sabrina Zulfikar, Vishal Nathwani, Agne Antanaviciute, Laura Denney, Andrew Achaiah, H. B. Parker, Michalina Mazurczyk, Jan Rehwinkel, Ling‐Pei Ho, Chaitanya Vuppusetty, Alison Simmons, Tian Hu, Jeongmin Woo, Huei-Wen Chuang, Praveen Weeratunga, Colin Clelland, Leila Baghaarabani, Aleksandr Fedorov
article en

Abstract

Early immune processes in idiopathic pulmonary fibrosis (IPF) are poorly defined. Here, we integrate single-cell transcriptomics of lung digests and bronchoalveolar-lavaged cells ( n = 108 patients), subcellular-resolution tissue spatial transcriptomics, and single-cell phospho-CyTOF of blood cells to define myeloid states associated with early stages of fibrosis. Two distinct myeloid gene transcriptional programs are increased in IPF compared to non-diseased controls—type I interferon-activated and fibrotic remodeling programs. At cell, organ, and patient levels, cell types with increased type I interferon-activated program ( FABP4 hi alveolar macrophages, classical monocytes, interstitial macrophages, and/or non-classical monocytes) are associated with architecturally better-preserved lung tissue, the alveolar barrier, and less fibrotic lung, or less severe disease. Circulating monocytes exhibit heightened type I interferon response that inversely correlate with severity of clinical disease. Our findings show that myeloid cells with increased type I interferon-activated gene programs are associated with less fibrotic stages of IPF.

Cell ReportsVol. 45(9)
Nuffield Orthopaedic Centre (GB), University of Oxford (GB), MRC Weatherall Institute of Molecular Medicine (GB), MRC Human Immunology Unit (GB), Oxford BioMedica (United Kingdom) (GB), Science Oxford (GB)
Medical Research Council, NIHR Oxford Biomedical Research Centre
Good health and well-being
Openalex Percentile: Top 11%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.