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Systemic reprogramming of monocytes in Crohn’s disease promotes their intestinal inflammatory function
Eve Hornsby, Radha Gadhok, Inva Hoti, Eva Wozniak, James R. Boot, Emma Connick, Paul Stevens, Holly Creed, Amy Lewis, Andrew Silver, James O. Lindsay, Andrew J. Stagg
Eve Hornsby, Radha Gadhok, Inva Hoti, Eva Wozniak, James R. Boot, Emma Connick, Paul Stevens, Holly Creed, Amy Lewis, Andrew Silver, James O. Lindsay, Andrew J. Stagg
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Research Article Immunology Inflammation

Systemic reprogramming of monocytes in Crohn’s disease promotes their intestinal inflammatory function

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Abstract

Bone marrow–derived circulating monocytes continuously replenish intestinal macrophages, which become dysregulated in inflammatory bowel disease (IBD) and contribute to disease pathology. The origins of this dysregulation remain poorly understood. Here, we investigate the reprogramming of circulating monocytes in IBD prior to tissue recruitment using single-cell transcriptomic, epigenomic, and functional approaches. We characterize blood monocyte heterogeneity in newly diagnosed, treatment-naive IBD patients and healthy controls and show that monocytes in Crohn’s disease (CD) display a distinct transcriptional profile and altered distributions across inferred developmental trajectories; less pronounced changes were observed in ulcerative colitis (UC). We link CD-associated transcriptional changes to alterations in chromatin accessibility and identify NF-κB, EGR, KLF, and AP-1 family transcription factors as putative regulators of an inflammatory gene program in blood monocytes from patients with CD. We uncover a potential role for IFN-γ in priming blood monocytes for inflammatory function in CD by limiting their capacity to be regulated by IL-10. Finally, we show that the transcriptional and functional alterations in monocytes from patients with CD are maintained in monocyte-derived cells from the intestine. Together these data suggest that intestinal macrophage dysfunction in CD is, at least in part, pre-established by systemic signals prior to tissue recruitment.

Authors

Eve Hornsby, Radha Gadhok, Inva Hoti, Eva Wozniak, James R. Boot, Emma Connick, Paul Stevens, Holly Creed, Amy Lewis, Andrew Silver, James O. Lindsay, Andrew J. Stagg

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Figure 3

Circulating monocytes from patients with CD display a distinct transcriptional profile.

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Circulating monocytes from patients with CD display a distinct transcrip...
Pseudobulk differential expression analysis was performed on monocyte clusters from treatment-naive patients with CD (n = 6) and UC (n = 6) versus HCs (n = 8). (A) Numbers of genes with FDR ≤ 0.25 are plotted for each cluster and disease. (B) Hierarchical clustering of differentially expressed genes (DEGs) based on average cell expression per donor per cluster. Cluster and disease type with FDR ≤ 0.25 and the direction of regulation are shown in the left annotation. (C) Top 3 significantly enriched Gene Ontology (biological process) terms for each module of DEGs after removal of redundant terms. Gene ratio (genes in term/total genes in module) and adjusted P value are indicated. (D) Ten pathway genes for each module of DEGs, expressed as log2 FC in CD compared with HC within each cluster. (E) Flow cytometry analysis of monocytes in a separate cohort of treatment-naive patients with CD (n = 5) and HCs (n = 5). Top: Mean fluorescence intensity (MFI) of extracellular CD55 and CD64 in classical, intermediate, and nonclassical monocytes. Middle: MFI of intranuclear STAT1 in total CD14+ monocytes. Bottom: MFI of intracellular IL-1β in classical, intermediate, and nonclassical monocytes following a 3-hour stimulation of PBMCs with 0.4 ng/mL lipopolysaccharide (LPS) or an unstimulated control. MFIs are normalized within each sample by subtraction of the MFI of the relevant isotype control (for CD55, CD64, and STAT1) or of the HLA-DR– population (for IL-1β). P values were determined by 2-way ANOVA with Šidák’s correction (for CD55, CD64, and IL-1β) or Mann-Whitney test for STAT1. Box-and-whisker plots show the median (center line), 25th and 75th percentiles (box), and minimum and maximum values (whiskers). Data points are overlaid.

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