Antifibrotic therapy with nintedanib is the clinical mainstay in the treatment of progressive fibrosing interstitial lung disease (ILD). High-dimensional medical image analysis, known as radiomics, provides quantitative insights into organ-scale pathophysiology, generating digital disease fingerprints. Here, we performed an integrative analysis of radiomic and proteomic profiles (radioproteomics) to assess whether changes in radiomic signatures can stratify the degree of antifibrotic response to nintedanib in (experimental) fibrosing ILD. Unsupervised clustering of delta radiomic profiles revealed 2 distinct imaging phenotypes in mice treated with nintedanib, contrary to conventional densitometry readouts, which showed a more uniform response. Integrative analysis of delta radiomics and proteomics demonstrated that these phenotypes reflected different treatment response states, as further evidenced on transcriptional and cellular levels. Importantly, radioproteomics signatures paralleled disease- and drug-related biological pathway activity with high specificity, including extracellular matrix (ECM) remodeling, cell cycle activity, wound healing, and metabolic activity. Evaluation of the preclinical molecular response–defining features, particularly those linked to ECM remodeling, in a cohort of nintedanib-treated fibrosing patients with ILD, accurately stratified patients based on their extent of lung function decline. In conclusion, delta radiomics has great potential to serve as a noninvasive and readily accessible surrogate of molecular response phenotypes in fibrosing ILD. This could pave the way for personalized treatment strategies and improved patient outcomes.
Background: Individual functions of members of the bromodomain (BRD) and extra-terminal (BET) protein family underlying the anti-inflammatory effects of BET inhibitors in rheumatoid arthritis (RA) are incompletely understood. Here, we aimed to analyze the regulatory functions of BRD3, an understudied member of the BET protein family, in RA synovial fibroblasts (FLS). Methods: BRD3 was silenced in FLS prior to stimulation with TNF. Alternatively, FLS were treated with I-BET. Transcriptomes were analyzed by RNA sequencing (RNAseq), followed by pathway enrichment analysis. We confirmed results for selective target genes by real-time PCR, ELISA, and Western blotting. Results: BRD3 regulates the expression of several cytokines and chemokines in FLS, and positively correlates with inflammatory scores in the RA synovium. In addition, RNAseq pointed to a profound role of BRD3 in regulating FLS proliferation, metabolic adaption, and response to stress, including oxidative stress, and autophagy. Conclusions: BRD3 acts as an upstream regulatory factor that integrates the response to inflammatory stimuli and stress conditions in FLS and executes many functions of BET proteins that have previously been identified using pan-BET inhibitors.
Salivary gland dysfunction is a hallmark of Sjögren’s disease (SjD). Here, we investigated the pro-inflammatory properties of salivary gland-derived fibroblasts (SGF) that were cultured from minor salivary gland (MSG) tissues of patients with SjD and controls. SGF from patients with SjD exhibited higher rates of proliferation compared to controls. RNA sequencing revealed pronounced pro-inflammatory properties of SGF in response to stimulation with IL1 and polyI:C, with an activation of “interferon responses”, “JAK STAT”, and “NF-kappa B” signaling, as well as ”complement” pathways. In addition to encoding pro-inflammatory transcripts, stimulated SGF featured increased expression of a number of non-coding enhancer RNAs (eRNAs) that we originally identified in TNF-stimulated synovial fibroblasts (FLS) by CAGE sequencing. We confirmed the expression of selected eRNAs in SGF and FLS through time-course experiments upon stimulation with different pro-inflammatory stimuli using real-time PCR. Furthermore, we detected eRNAs for IL6 (eIL6) and IL8 (eIL8#3) in MSG tissues. Treatment of SGF with the bromodomain inhibitor I-BET suppressed IL1- and LPS-induced expression of all eRNAs tested, as well as their associated pro-inflammatory coding transcripts. Transfection of SGF with antisense nucleotides targeting eCCL20 reduced the LPS-induced expression of this eRNA, as well as CCL20 expression and secretion. Together, our data highlight similarities between SGF and FLS regarding their activation under inflammatory conditions.
12 September 2026 in American Journal of Transplantation
ANCA-associated small vessel vasculitis (AAV) and giant cell arteritis (GCA) are two clinically distinct forms of vasculitides with a high risk of relapse. We aimed to evaluate and compare the role of immune cells in patients with both vasculitis subtypes with active disease. Whole blood was collected from 12 untreated newly diagnosed or relapsing patients with AAV, 10 untreated newly diagnosed patients with GCA, and 11 age- and sex-matched healthy controls (HC). Transcriptomes were analysed by RNA sequencing. Differentially expressed genes (DEG) were calculated across disease groups. Pathway enrichment analysis was conducted using Overrepresentation Analysis (ORA), and Gene Onthology and Gene Set Enrichment Analysis (GSEA). The platelet receptor component CD42a was assessed by flow cytometry. We identified 104 DEG in AAV compared to HC, and 504 DEG between GCA and HC in whole blood samples. Strikingly, only 19 genes were differentially expressed between AAV and GCA. ORA of DEG, distinguishing both vasculitis subtypes from HC, identified pathways exclusively involved in innate immunity. GSEA of both AAV and GCA versus HC pointed to a striking overlap in up-regulated pathways comprising seven out of ten top signalling pathways, including “IL6 JAK Stat3 signalling”, “TNF signalling” and “complement activation”. We detected increased levels of CD42a on platelets of patients with GCA, in line with an increased expression of platelet-associated genes in GCA compared to AAV. Our results suggest that the rather homogeneous transcriptome of circulating immune cells does not sufficiently explain the clinically distinct phenotypes of AAV and GCA.