Search bioRxiv⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/2024.11.28.625937

microRNA-544a as a new modulator of the Wnt-signalling network in the articular cartilage and osteoarthritis

Heluany, C. S.·Day, N. J.·DeLos Santos, K.·De Palma, A.·Swingler, T. E.·Sochart, D.·Clark, I.·Kapoor, M.·Nalesso, G.
View original source ↗Export metadata ↓

Abstract

ObjectiveDetermining the effect of microRNA-544a (miR-544a) in articular chondrocytes isolated from patients affected by osteoarthritis (OA) and its role in the modulation of the Wnt signalling. MethodsArticular chondrocytes were isolated from patients undergoing joint replacement because of OA. Expression levels of miR-544a were measured by PCR and by in situ hybridization. Putative targets of miR-544a were confirmed by reporter assay and by qPCR in cells stimulated with a miR-544a mimic. The effect of miR-544a on chondrocyte metabolism was monitored by qPCR for phenotypic markers, protein expression levels of aggrecan neoepitopes/MMP-13 and modulation of alcian blue content in micromass cultures, upon stimulation with a miR-544a mimic. The expression levels of MMP-13 and Aggrecan neoepitopes in response to miR-544a stimulation was also measured in co-stimulation with Xav-939 and KN93, which are respectively {beta}-catenin and CaMKII inhibitors. ResultsOur results suggest that miR-544a enhances the activation of the Wnt-signalling in the articular chondrocytes, by downregulating the expression of components of the Wnt/{beta}-catenin destruction complex. The expression of miR-544a is higher in chondrocytes isolated from damaged areas of the articular cartilage removed from OA patients, and can be upregulated by pro-inflammatory and pro-fibrotic cytokines. miR-544a exerts a pro-catabolic effect of articular chondrocytes, which is rescued both by the inhibition of the Wnt/{beta}-catenin and Wnt/CaMKII signalling pathways. Conclusionour results point to miR-544a as a new, important modulator of the Wnt signalling network within the articular cartilage suggesting a key role for microRNAs in regulating how the multiple branches of the network and their interaction modulate cartilage homeostasis.

Explore related subjects

pharmacology and toxicologyPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Heluany, C. S., Day, N. J., DeLos Santos, K., De Palma, A., Swingler, T. E., Sochart, D., Clark, I., Kapoor, M., Nalesso, G.. 2024-12-03. microRNA-544a as a new modulator of the Wnt-signalling network in the articular cartilage and osteoarthritis. https://doi.org/10.1101/2024.11.28.625937

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

KEEP EXPLORING

Related preprints

bioRxiv2026

Translational Pharmacokinetics and Pharmacodynamics of a Cationic mRNA-Lipid Nanoparticle from Mice to Non-Human Primates

Cationic lipid nanoparticles have demonstrated unique potential for extrahepatic mRNA delivery, particularly enabling selective targeting of the pulmonary endothelium. However, their translational development has been hampered by reports of infusion-related immune reactions and innate immune system activation, most notably transient complement activation. Here, we present a case study illustrating the discovery and translational advancement of a selected cationic LNP into non-human primates (NHPs) for initial pharmacokinetic assessment and evaluation of potential immunostimulatory side effects. We show surface charge dependent organ-selective expression of reporter mRNAs from different LNPs in vivo. An mRNA encoding the Tie2 agonist COMP-Angl, was formulated with LNP002, and respective pharmacokinetic and pharmacodynamic readouts were analyzed in two independent non-human primate studies. Notably, dose-dependent transient complement activation could be abrogated by extending the infusion time. Finally, we identified the blood-borne pharmacodynamic biomarker PDGFB for LNP002/mRNA-76 treatment reflecting activated Tie2-signalling in healthy pulmonary endothelium in vivo supported by single cell sequencing and cluster-alignment of downstream effector genes with the same spatial profile as the delivered mRNA.

pharmacology and toxicology↗
bioRxiv2026

Cytotoxic Effects of Multiple Pesticides and their Mixtures on Caco-2 Cells Evaluated by Using MTT and Trypan Blue Assays

BACKGROUND: Pesticides are extensively used in agriculture, raising concerns about their potential impact on human health through dietary and environmental exposure. OBJECTIVES: This study evaluated the in vitro cytotoxicity of ten commonly used pesticides and their mixtures (lambda-cyhalothrin, cypermethrin, deltamethrin, tebuconazole, glyphosate, acetamiprid, cyprodinil, piperonyl butoxide, fluopyram, and imazalil) on human intestinal Caco-2 cells. METHODS: Cytotoxicity was assessed using the MTT assay, as a measure of metabolic activity, and the trypan blue exclusion test, as an indicator of cell membrane integrity. FINDINGS: Results showed that high concentrations (100 mg/L) of all pesticides significantly reduced cell viability and vitality. Notably, glyphosate and tebuconazole exhibited significant toxicity even at lower concentrations, respectively 0.1 mg/L and 10 mg/L. Combination treatments (Top 3 and Top 8 pesticide mixtures) retained the cytotoxic effects observed for individual compounds, showing additive (non-synergistic) effects. CONCLUSIONS: Overall, these findings indicate that certain pesticides-based herbicides can exert cytotoxic effects on intestinal cells even at relatively low concentrations and highlight the importance of using the component-based approach in mixture risk assessment for humans. This study was performed as part of the EU SPRINT (Sustainable Plant Protection Transition: A Global Health Approach) project.

pharmacology and toxicology↗
bioRxiv2026

Assessing chemical toxicity across Eukaryota using multimodal transformers

Biodiversity is globally threatened by chemical pollution, yet toxicity data remain unavailable for millions of species and tens of thousands of chemicals, severely limiting our ability to assess ecological impacts. Here we present TRIDENT-2, a multimodal artificial intelligence model for predicting chemical toxicity across evolutionarily diverse eukaryotic species. Trained on 560,780 toxicity assays spanning 82,775 chemicals, 6,793 species, and multiple exposure scenarios, TRIDENT-2 accurately predicts toxicity across Eukaryota with an average median absolute error ranging from 1.76 to 3.80. By jointly learning from chemical, biological, and experimental information, it remains accurate across broad chemical and taxonomic distances, allowing for toxicity assessment for species and chemicals beyond the current experimental evidence. Our findings demonstrate that artificial intelligence can help overcome longstanding data limitations in ecotoxicology, paving the way for improved decision-making and reducing chemical impacts on biodiversity and ecosystems.

pharmacology and toxicology↗