bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.10.14.758688

Rev-erbα inhibits vascular calcification by repressing osteogenic reprogramming in atherosclerosis

Abstract

Background: Atherosclerotic plaque rupture is the most deleterious atherogenic event, responsible for the majority of fatal acute atherothrombotic and myocardial infarctions. Intimal microcalcification is a major cause of atherosclerotic plaque instability. Yet, a thorough characterization of the mechanisms controlling intimal calcification is needed to develop innovative therapeutic strategies to treat high risk patients. The nuclear receptor Rev-erb regulates lipoprotein metabolism and exerts anti-inflammatory activities. Here, we hypothesized that Rev-erb modulates atherogenesis by regulating arterial calcification processes. Methods: We used a multi-omics approach in the ANGIOSAFE and the ATHEROPORTAL human cohort to identify pathways and factors associated with vascular calcification in diabetic patients. We then compared REV-ERB expression between calcified and non-calcified areas of human endarterectomies using laser capture microdissection assays (n=11-22/group). We assessed the role of Rev-erb on calcium deposition and expression of osteoblast markers in aortic roots of 18-month-old Ldlr-/-Rev-erb-/- and Ldlr-/-Rev-erb+/+ mice (n=10/group). Rev-erb-dependent molecular pathways that drive calcification were identified using gene expression profiling in aortic plaques from Ldlr-/-Rev-erb-/- and Ldlr-/-Rev-erb+/+ mice (n=8-10/group). We then confirmed omics data using primary aortic smooth muscle cells (SMCs) (n=3-6) in vitro assessing inflammation-driven calcification process as well as Rev-erb-dependent transcriptional mechanisms. Results: REV-ERB expression is significantly lower in circulating anti-inflammatory classical CD14+CD16- monocytes from diabetic patients with low coronary artery calcium (CAC) compared to those exhibiting high CAC scores while its expression is lower in highly calcified plaques from patients with diabetes mellitus compared to those with no diabetes or no calcification. Consistently, REV-ERB is markedly downregulated in calcified areas of human endarterectomy samples, while remaining higher in non-calcified regions. Rev-erb deficient Ldlr-/- mice exhibit accelerated atherogenesis and vascular calcification, and aortic smooth muscle cells (SMCs) exhibit a reprogramming toward an osteochondroblastic phenotype. Functional in vitro studies show that Rev-erb maintains SMC identity by preventing their IL-1{beta}-driven transdifferentiation into osteochondroblast-like cells, notably through the repression of key osteogenic regulators. Finally, while hyaluronic acid degradation is known to promote intimal calcification, we demonstrate that Rev-erb represses the hyaluronidase Cemip expression during SMC transdifferentiation. Conclusions: Rev-erb is identified as an important brake on SMC-driven vascular calcification, suppressing both osteogenic reprogramming and matrix-remodeling pathways. Thus, this study opens new avenues for developing novel therapeutic tools targeting Rev-erb to reduce vascular calcification and associated cardiovascular risk in high-risk patients.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ferri, L., Bellengier, C., Diedisheim, M., bongiovani, a., Julla, J.-B., Delhaye, S., Kara-Ali, G., Duhem, C., Farge, S., Thorel, Q., Hebras, A., Leduc, M., Quemener, S., Eberle, D., Dombrowicz, D., Dupont, A., Rosa, M., Germain, S., Sebti, Y., Tardivel, M., Venteclef, N., Haas, J. T., Staels, B., Gautier, J.-F., Duez, H., Pourcet, B.. 2026-10-20. Rev-erbα inhibits vascular calcification by repressing osteogenic reprogramming in atherosclerosis. https://doi.org/10.64898/2026.10.14.758688

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Digital pathological classification of peripheral neuroblastic tumors across multi-continent cohorts

Peripheral neuroblastic tumors (pNTs) are embryonal tumors of neural crest origin with highly variable clinical behaviors, ranging from spontaneous regression to aggressive and fatal disease. The International Neuroblastoma Pathology Classification (INPC) defines four diagnostic categories and stratifies tumors into Favorable Histology (FH) or Unfavorable Histology (UH) group based on age-linked assessment of tumor differentiation/maturation and the Mitosis-Karyorrhexis Index (MKI). Prognostic distinction according to INPC offers significant prediction of clinical outcomes, with patients harboring FH tumors demonstrating longer overall and event-free survival than those with UH tumor. Here, we assembled the largest multi-continental whole-slide histology imaging dataset of pNTs to date, comprising 2,030 tumors from the United States, Canada, Australia, New Zealand, Germany and Japan. Using this dataset, we developed NB-PathAssist, a computational pathology framework for automated INPC-based classification from digitized whole-slide images. NB-PathAssist integrates foundation-model-based feature extraction with an archetype-guided SummaryMixing architecture that compresses whole-slide morphology into representative histologic tokens for tumor-level classification. To automate MKI assessment, we manually annotated 14,049 nuclei, classifying them as mitotic-karyorrhectic (MK) tumor cells, non-MK tumor cells, or non-tumor cells. The resulting model was applied to phenotype cells in whole-slide images across 1,649 tissue sections. Across geographically and institutionally diverse cohorts, NB-PathAssist reproducibly assessed key diagnostic features and generated prognostic classifications concordant with reference INPC annotations. The average balanced accuracy for classifying tumor categories, grade of neuroblastic differentiation, MKI and prognostic groups achieved 0.84, 0.86, 0.89 and 0.96, respectively. We packaged the NB-PathAssist algorithms into an end-to-end online platform for scalable and standardized AI-assisted assessment of pNTs.

pathology↗

Epidemic Risks associated with high-temperature replicating infectious hematopoietic necrosis virus (IHNV) field isolates: from molecular characterization to host pathogen interactions

Infectious hematopoietic necrosis virus (IHNV) is a WOAH-notifiable pathogen responsible for severe acute disease in salmonids at temperatures ranging from 4 to 14{degrees}. At higher water temperatures, the disease is generally associated with reduced mortality and lower viral replication. In the context of climate change, rising water temperatures could favor the emergence of thermotolerant strains while representing a major physiological and metabolic stress potentially altering fish's immune responses. This study aims to characterize the impact of increasing water temperatures on IHNV replication and host-pathogen interactions. Following pre-screening, the replication kinetics of the reference strain N61 and two field isolates RtNag0a and SA-22 were characterized in EPC (Epithelioma Papulosum Cyprini) and RTG-2 (Rainbow trout gonad) cell lines at 14, 20 and 22{degrees}. Virulence and host-pathogen interactions were subsequently investigated in vivo in zebrafish (Zf) larvae using complementary microinjection and bath immersion infection models at 21.5 and 23.5{degrees}. In vitro studies revealed distinct thermal replication profiles, distinguishing thermosensitive from thermotolerant isolates, although these phenotypes were influenced by the cellular environment. The zebrafish model enabled the characterization of virulence and antiviral host responses associated with thermotolerant IHNV isolates. Notably, waterborne infection proved effective, contrasting with previous reports describing this exposure route as unsuitable for IHNV studies. These findings expand the growing list of emerging European IHNV genotypes capable of replicating at elevated temperatures (>20{degrees}) and establish zebrafish larvae as a relevant model for virulence assessment of field isolates. Together, these results provide valuable insights into the potential impact of climate warming on IHNV epidemiology and support efforts to predict and anticipate future outbreaks under changing environmental conditions.

pathology↗

Arthroscopic Raman Probe Provides Biomarkers of TMJ Tissue Composition that Account for Tissue Function

Background: Temporomandibular joint (TMJ) disorders affect up to 25% of the population and may require diverse surgical interventions. However, intraoperative decision-making relies largely on visual assessment, which does not quantitatively characterize tissue composition or mechanical function. Raman spectroscopy offers a nondestructive approach to molecular-level tissue characterization, but its application to TMJ tissues remains unvalidated. Methods: An arthroscopy-compatible Raman probe was used to characterize mandibular condyles (n=15 porcine, n=11 human) and human articular discs (n=7). Raman-derived biomarkers associated with glycosaminoglycans (GAG), collagen (COL), water (H2O), and hydroxyapatite (HA) were evaluated against condylar indentation modulus and disc tensile modulus. Arthroscopic measurements in cadaveric TMJs assessed technical feasibility, while hyperspectral Raman imaging characterized spatial compositional distributions. Results: For condylar cartilage, combined GAG and H2O biomarkers accounted for 86% of the variation in indentation modulus (R2=0.86), compared with 4% for Outerbridge grading (R2=0.04). For articular discs, combined proline and water-associated biomarkers accounted for 88% of the variation in tensile modulus (R2=0.88). Raman spectra acquired in situ under simulated arthroscopic conditions were comparable in quality to ex vivo measurements. Raman imaging revealed distinct compositional patterns in healthy and degenerated tissues, including GAG depletion and cartilage thinning in degenerated condylar cartilage. Conclusions: Raman-derived biomarkers are strongly associated with TMJ cartilage and disc mechanical properties and outperform Outerbridge grading in explaining variation in condylar indentation modulus. Arthroscopic Raman spectroscopy is technically feasible and may complement visual assessment by providing objective compositional information to support future development of tissue-informed surgical decision-making.

pathology↗