Background: RASopathies constitute a group of rare genetic disorders caused by mutations in genes along the canonical RAS/MAPK signaling pathway, affecting cell growth and differentiation. These syndromes, which include Noonan syndrome (NS), are characterized by developmental delays, distinctive facial dysmorphia, and cardiac defects, notably hypertrophic cardiomyopathy (HCM). Despite their prevalence and impact, therapeutic options for RASopathies remain limited. Rigosertib, a novel dual RAS/MAPK and PI3K/AKT pathway inhibitor, is currently in clinical trials for treatment of melanoma and recessive dystrophic epidermolysis bullosa. Here, we identify rigosertib as a candidate therapy for RAF1-associated HCM. Methods: We performed a drug screen of clinically relevant compounds in transgenic Drosophila models of RASopathies to identify candidate therapeutics. Cardiac-targeted Drosophila models expressing RASopathy-associated transgenes were used to evaluate the effects of rigosertib on cardiac hypertrophy and compare its efficacy with the MEK inhibitor trametinib. Therapeutic efficacy was further assessed in a mammalian model using Raf1L613V/+ knock-in mice treated with rigosertib for six weeks. Cardiac structure and function were evaluated by echocardiography, histology, and molecular analyses, including assessment of cardiomyocyte (CM) size, fetal gene expression, and ERK/AKT signaling. Additional Noonan syndrome-associated phenotypes, including skeletal growth and craniofacial abnormalities, were also evaluated. Results: Rigosertib was effective across a panel of transgenic Drosophila RASopathy models, suggesting activity against multiple disease variants. In cardiac-targeted fly models, rigosertib reduced cardiac hypertrophy and outperformed trametinib. In Raf1L613V/+ mice, six weeks of treatment significantly improved left ventricular chamber dimension, posterior wall thickness, heart mass, and CM size, resulting in reversal of cardiac hypertrophy. Rigosertib also normalized fetal gene expression and inhibited ERK and AKT signaling in primary CMs. In addition to reversing cardiac pathology, rigosertib significantly improved other Noonan syndrome-associated features, including increased bone growth and correction of craniofacial abnormalities. Conclusions: Together, our findings suggest rigosertib normalizes and reverses RASopathy-associated HCM and other NS-associated syndromic features, supporting its development as a promising treatment for RAF1-associated HCM and, potentially, other RASopathy-dependent pathologies. This study not only highlights the therapeutic potential of rigosertib but also demonstrates the utility of an integrated approach using Drosophila and mammalian models to elucidate drug effects across complex biological systems.
Levi Legler, K. Marchetti, Bing Xu et al.· Circulation· 0 citations
Vaccines are among the most impactful public health interventions. Systems vaccinology leverages high-dimensional omics data to elucidate mechanisms of vaccine-induced immunity, but these data are often fragmented across studies with heterogeneous metadata, limiting cross-study analyses. The NIH/NIAID Human Immunology Project Consortium (HIPC) previously addressed this challenge by releasing the Immune Signatures Data Resource (ISDR). Here, we present ISDR 2.0, an expanded and standardized framework that harmonizes human systems vaccinology datasets using ImmPort metadata. ISDR 2.0 broadens vaccine coverage and introduces a robust, reproducible analysis pipeline for consistent data processing, quality control, and immune response interpretation.
We developed an automated pipeline to integrate experimental design, clinical metadata and serological response data from ImmPort with linked transcriptional profiling data from GEO. Using these standardized metadata, we constructed a MultiAssayExperiment object that unifies molecular data with subject demographics and vaccine details for seamless analysis.
The ISDR 2.0 provides a harmonized collection of 9,638 gene expression samples from 2,544 subjects across 51 studies, covering 36 different vaccines. Through the newly developed automated harmonization pipeline, this comprehensive dataset incorporates extensive RNA-seq data, offering a computationally ready platform with enhanced statistical power for identifying pan-vaccine immune signatures.
The ISDR 2.0 provides the systems vaccinology community with a standardized dataset for analyzing human vaccine response data. By harmonizing a large number of samples, standardizing metadata via ImmPort, and processing data through a reproducible pipeline, this resource will accelerate the identification of robust immune signatures and enable the development of powerful, predictive models critical for next-generation vaccine design.
NIH grants U01AI167892
Vaccines and Immunotherapy (VAC)
Jian Xing, Gisela Gabernet, Anthony Melillo et al.· Journal of Immunology· 0 citations
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