Amélie Barczyk

Central nervous system (CNS) disorders such as neurodegenerative diseases, multiple sclerosis, or even brain ischemia represent major therapeutic challenges with limited effective treatments. The sigma-1 receptor (S1R), a unique ligand-operated molecular chaperone enriched at mitochondria-associated membranes, has emerged as a promising drug target due to its role in neuroprotection and neuroinflammation. Building upon our previously identified S1R ligand (compound 1), we designed and synthesized six novel benzamide derivatives through pharmacomodulation to optimize affinity, selectivity, and safety profiles. Among these, compound 2 demonstrated superior S1R affinity, improved selectivity over the sigma-2 receptor (S2R), and favorable ADME properties, including enhanced permeability and markedly reduced in vitro cardiac toxicity compared to the lead compound. Functional assays confirmed the agonist activity of key derivatives, while safety evaluations revealed low cytotoxicity and minimal off-target receptor interactions. Collectively, these findings support compound 2 as a promising candidate for further preclinical development in S1R-related CNS disorders.

The P2X purinergic receptor 7 (P2X7) has an essential role in inflammation, innate immunity, tumor progression, neurodegenerative diseases, and several other diseases, leading subsequently to the development of P2X7 modulators. AZ11645373 is a frequently studied P2X7 antagonist tool com-pound, but always as a racemic mixture. Racemic AZ11645373 can be separated, into its respective enantiomers by chiral chromatography, albeit in small batches, and these were stereochemically in-tact over a year later, by chiral HPLC analysis. On a higher scale, significant decomposition is ob-served. One of the enantiomers was crystallised as a palladium complex and its (R)-configuration was determined by single crystal X-ray diffraction, further confirmed, in solution, by vibrational circular dichroism. Biological studies demonstrated that both (S)- and (R)-forms were able to fully inhibit human P2X7, but (R)-AZ11645373 was more potent, with an IC50 of 32.9 nM. Contrary to its effect on human P2X7, (S)-AZ11645373 was ineffective on mouse P2X7, while the (R)-AZ11645373 enantiomer was a full antagonist. These results demonstrated that the antagonistic effects of racemic AZ11645373 are mainly due to its (R)-enantiomer. Site-directed mutagenesis and molecular dynam-ics simulations indicated that the (R)-enantiomer may form specific interactions with Phe95 and the antagonists bound to the other P2X7 monomers. Phe95 is situated at the channel pore and appears to be the pivotal molecular gateway between AZ11645373 allosteric binding and locking of the closed state of the P2X7 channel. All together, these structure-function relationships should be helpful for drug design of P2X7 modulators.

Inflammation is a defense mechanism that restores tissue damages and eliminates pathogens. Among the Pattern Recognition Receptors that recognize danger or pathogenic signals, Nucleotide Oligomerization Domain 1 and 2 (NOD1/2) have been identified to play an important role in innate immunity responses and inhibition of NOD1 could be interesting to treat severe infections and inflammatory diseases. In this work, we identified the first selective NOD1 vs NOD2 pathway inhibitors at the nanomolar range based on a 4-anilinoquinazoline scaffold. We demonstrated that NOD1 inhibition occurs through the inhibition of Receptor Interacting Protein Kinase 2 (RIPK2), involved in its downstream signaling pathways. Compound 37 demonstrates no cytotoxicity, a selectivity for RIPK2 over Epithelial and Vascular Endothelial Growth Factor Receptors (EGFR/VEGFR) and a capacity to reduce pro-inflammatory cytokine IL-8 secretion. The structure of the RIPK2-compound 37 complex was resolved by crystallography. The 4-anilinoquinazoline scaffold offers novel perspectives to design NOD1-RIPK2 inhibitors, potentially useful to treat inflammatory diseases.

The rationale to define the biological and molecular parameters derived from structure–activity relationships (SAR) is mandatory for the lead selection of small drug compounds. Several series of small molecules have been synthesized based on a computer-assisted pharmacophore design derived from two series of compounds whose scaffold originates from chloroquine or amodiaquine. All compounds share similar biological activities. In vivo, Alzheimer’s disease-related pathological lesions are reduced, consisting of amyloid deposition and neurofibrillary degeneration, which restore and reduce cognitive-associated impairments and neuroinflammation, respectively. Screening election was performed using a cell-based assay to measure the repression of Aβ_1–x peptide production, the increased stability of APP metabolites, and modulation of the ratio of autophagy markers. These screening parameters enabled us to select compounds as potent non-competitive β-secretase modulators, associated with various levels of lysosomotropic or autophagy modulatory activities. Structure–activity relationship analyses enabled us to define that (1) selectively reducing the production of Aβ_1–x, and (2) little Aβ_x–40/42 modification together with (3) a decreased ratio of p62/(LC3-I/LC3-II) enabled the selection of non-competitive β-secretase modulators. Increased stability of CTFα and AICD precluded the selection of compounds with lysosomotropic activity whereas cell toxicity was associated with the sole p62 enhanced expression shown to be driven by the loss of nitrogen moieties. These SAR parameters are herein proposed with thresholds that enable the selection of potent anti-Alzheimer drugs for which further investigation is necessary to determine the basic mechanism underlying their mode of action.