Tektonidou, M. | Search bioRxiv

bioRxiv2026

Pharmacologic METTL3 inhibition attenuates TGF-beta-driven profibrotic signature in systemic sclerosis

Systemic sclerosis (SSc) is a devastating fibrosing disorder affecting the skin and internal organs, associated with the highest mortality among all rheumatic diseases. The mechanisms underlying excessive fibrogenesis in SSc are incompletely defined and treatment options are limited. N6-methyladenosine (m6A), the most abundant internal mRNA modification, is a reversible and pharmacologically tractable determinant of RNA fate. Here we mapped the m6A epitranscriptome of peripheral blood mononuclear cells (PBMCs) from patients with SSc using two orthogonal single-nucleotide-resolution platforms, a MazF-based m6A microarray and nanopore direct RNA sequencing. SSc PBMCs showed coordinated upregulation of the m6A writer complex (METTL3, METTL14, WTAP), a two-fold increase in global m6A, and redistribution of m6A marks from 3' untranslated regions toward coding sequences. Both platforms converged on TGF-b signaling as the most enriched pathway among differentially methylated transcripts, with hypermethylation of TGFB1, JUNB and KLF10 transcripts. Pharmacologic inhibition of METTL3 with STM2457 significantly reversed TGF-b-induced transcriptomic changes in skin fibroblasts preventing their transformation into pathological myofibroblasts. Together, these findings uncover an epitranscriptomic signature driving profibrotic transcriptional alterations in SSc, including enhanced TGF-b signaling, which can be effectively reversed by clinically available enzymatic m6A inhibitors. Our data suggest that targeting m6A methylation may offer a novel therapeutic strategy to mitigate fibrosis in SSc.

molecular biology↗

bioRxiv2018

Genomic dissection of Systemic Lupus Erythematosus: Distinct Susceptibility, Activity and Severity Signatures

Recent genetic and genomics approaches have yielded novel insights in the pathogenesis of Systemic Lupus Erythematosus (SLE) but the diagnosis, monitoring and treatment still remain largely empirical1,2. We reasoned that molecular characterization of SLE by whole blood transcriptomics may facilitate early diagnosis and personalized therapy. To this end, we analyzed genotypes and RNA-seq in 142 patients and 58 matched healthy individuals to define the global transcriptional signature of SLE. By controlling for the estimated proportions of circulating immune cell types, we show that the Interferon (IFN) and p53 pathways are robustly expressed. We also report cell-specific, disease-dependent regulation of gene expression and define a core/susceptibility and a flare/activity disease expression signature, with oxidative phosphorylation, ribosome regulation and cell cycle pathways being enriched in lupus flares. Using these data, we define a novel index of disease activity/severity by combining the validated Systemic Lupus Erythematosus Disease Activity Index (SLEDAI)1 with a new variable derived from principal component analysis (PCA) of RNA-seq data. We also delineate unique signatures across disease endo-phenotypes whereby active nephritis exhibits the most extensive changes in transcriptome, including prominent drugable signatures such as granulocyte and plasmablast/plasma cell activation. The substantial differences in gene expression between SLE and healthy individuals enables the classification of disease versus healthy status with median sensitivity and specificity of 83% and 100%, respectively. We explored the genetic regulation of blood transcriptome in SLE and found 3142 cis-expression quantitative trait loci (eQTLs). By integration of SLE genome-wide association study (GWAS) signals and eQTLs from 44 tissues from the Genotype-Tissue Expression (GTEx) consortium, we demonstrate that the genetic causality of SLE arises from multiple tissues with the top causal tissue being the liver, followed by brain basal ganglia, adrenal gland and whole blood. Collectively, our study defines distinct susceptibility and activity/severity signatures in SLE that may facilitate diagnosis, monitoring, and personalized therapy.

genomics↗