Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.07.31.667816

Virtual Screening-Guided Discovery of Small Molecule CHI3L1 Inhibitors with Functional Activity in Glioblastoma Spheroids

Abstract

Chitinase-3-like protein 1 (CHI3L1), a glycoprotein implicated in inflammation, fibrosis, and cancer, has emerged as a potential therapeutic target for glioblastoma (GBM). CHI3L1 contributes to tumor progression and immune evasion by promoting STAT3 signaling and mesenchymal transition. To identify small molecule CHI3L1 inhibitors, a structure-based 3D pharmacophore model was developed and applied to virtually screen over 4.4 million compounds from the Enamine collection. Following multi-tiered filtering, 35 candidates were selected for experimental evaluation. Binding validation via microscale thermophoresis (MST) confirmed dose-dependent CHI3L1 interactions for two compounds, 8 and 39, with dissociation constants (Kd) of 6.8 {micro}M and 22 {micro}M, respectively. These affinities were further supported by surface plasmon resonance (SPR), which yielded Kd values of 5.69 {micro}M for compound 8 and 17.09 {micro}M for compound 39. In 3D GBM spheroid models, compound 8 significantly reduced spheroid viability and attenuated phospho-STAT3 levels, consistent with CHI3L1 pathway disruption. These findings identify two promising scaffolds and support the utility of pharmacophore-guided virtual screening for discovering functionally active ligands targeting CHI3L1 in GBM. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/667816v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@291464org.highwire.dtl.DTLVardef@f9d224org.highwire.dtl.DTLVardef@1535eeaorg.highwire.dtl.DTLVardef@7c596e_HPS_FORMAT_FIGEXP M_FIG Table of Contents artwork C_FIG

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Kaur, B., Denzinger, K., Zhang, L., Garcia-Vazquez, N., Wolber, G., Gabr, M.. 2025-08-01. Virtual Screening-Guided Discovery of Small Molecule CHI3L1 Inhibitors with Functional Activity in Glioblastoma Spheroids. https://doi.org/10.1101/2025.07.31.667816

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

KEEP EXPLORING

Related preprints

A metastable GαS/β-arrestin complex sustains endosomal PTH1R signaling

G protein-coupled receptors (GPCRs) initiate cellular signaling by activating heterotrimeric G proteins at the plasma membrane and are silenced when beta-arrestin binds the phosphorylated receptor, preventing G protein binding. However, many receptors continue to generate cAMP after internalization, even while barr is bound, a paradox that lacked a molecular mechanism in live cells. A direct barrestin1-Gas interface in the PTH1R-barr1-Gas complex has recently been defined structurally, but whether the complex operates in endosomes, and how it behaves there, has not been established. Using intact cells, we examine the assembly at three spatial resolutions. Confocal imaging with a nanobody selective for nucleotide-free Gas places activated Gas, barr, and agonist-occupied PTH1R on the same endosomes. Single-molecule localization microscopy, with illumination modes that separate the plasma membrane from the endosomal membrane in single cells, shows that the agonist recruits Gas and barr at both membranes. FRET, however, reveals a specific interaction only on endosomes, where a Gas inhibitor restricted to that compartment abolishes the sustained cAMP phase without affecting receptor internalization. Weighted-ensemble-enhanced molecular simulations show that the complex is metastable, releasing Gas through a large rigid-body rotation away from barr while barr itself tightens its interactions with the receptor. These findings provide a molecular basis for endosomal Gs/cAMP signaling and open a new avenue for drug development targeting this pathway.

pharmacology and toxicology↗

Advancing AOPs for genotoxicity through quantifying KERs linking DNA alkylation to increase in mutations and chromosome aberrations

Quantitative Adverse Outcome Pathways (qAOPs) help translate mechanistic knowledge into quantitative toxicity predictions; however, their development is constrained by the limited availability and heterogeneity of quantitative data. Here, we investigated the feasibility of developing a qAOP for genotoxicity by modeling quantitative relationships linking DNA alkylation to increased mutations and structural chromosome aberrations through intermediate biological key events (KEs). We compiled and harmonized published concentration-response data from human lymphoblastoid TK6 cells exposed to ethyl methanesulfonate, methyl methanesulfonate, or N-ethyl-N-nitrosourea, covering eight genotoxicity assays representing five KEs with well-established dependencies. We evaluated sources of variability, compared points of departure (PoDs), and quantified relationships between successive events using response-response modeling. Substantial between-study variability could to a limited extent be explained through differences in experimental design while batch effects for individual studies and researchers were substantial. PoD estimates that were calculated from combined results of independent studies with similar experimental design, were often uncertain due to insufficient concentration-response characterization or conflicting results between studies. Nevertheless, response-response modeling suggested a threshold effect for certain key-event relationships (KERs). Specifically, DNA adducts seemed to be triggered at lower concentrations of alkylating agents compared to the subsequent KEs of DNA strand breaks and chromosome aberrations. Furthermore, these fitted response-response models can be used for prediction of downstream KEs from earlier ones. The general approach we developed for BMC analysis followed by response-response modeling is applicable to other AOPs as well. These findings highlight both the feasibility and limitations of using existing data for qAOP development.

pharmacology and toxicology↗

Denaturation-sensitive BRET probes enable intracellular thermal shift measurements across diverse protein targets and biomolecular complexes

Thermal shift assays have revolutionized drug discovery, but can be limited in sensitivity and scalability. Combining the unique attributes of differential scanning fluorimetry (DSF) and cellular thermal shift (CETSA), we report the methodological framework for the bioluminescence resonance energy transfer shift assay (BRETSA). BRETSA utilizes denaturation sensitive BRET probes, in combination with luciferase-tagged target proteins, to track and longitudinally record thermal shift in living cells. Denaturation profiles were successfully measured for over 500 globular proteins, spanning 24 target families in diverse cellular compartments. Among these, target engagement was confirmed for over 200 proteins; including validated drug targets as well as understudied members of the kinase subfamily. Leveraging orthosteric, allosteric, and covalent ligands in potency studies, this method offers improved sensitivity and scalability compared to other thermal shift methods. We extend the utility of BRETSA to interrogate target engagement at biomolecular complexes and query cooperative binding for molecular glues and emerging tricomplex drug modalities.

pharmacology and toxicology↗