Caulfield, Thomas R.

Abstract Alzheimer’s disease (AD) is a multifactorial disease with mixed pathologies. Consequentially, drugs targeting multiple pathological processes may offer synergistic benefits. While histone deacetylase (HDAC) inhibitors have demonstrated efficacy in alleviating AD-related pathologies in animal models, the neuroprotective Wnt/β-catenin signaling pathway remains compromised in AD brain. CI-994 is a class I HDAC inhibitor containing N-(2-aminophenyl)-benzamide. Our recent studies indicate that CI-994 is also an activator of Wnt/β-catenin signaling by stabilizing Wnt co-receptor LRP6. We herein use CI-994 as a scaffold to develop novel potent dual modulators of class I HDACs and Wnt/β-catenin signaling for AD therapy. Our lead compound, W2A-28, selectively inhibits class I HDAC1, 2 and 3 with IC 50 values of 0.51 μM, 0.68 μM, and 0.22 μM, respectively, and shows no inhibitory activities on other HDACs. Furthermore, W2A-28 potently activates Wnt reporter activity with an EC 50 value of 1.61 μM in Wnt-3A-expressing HEK293 cells. As expected, activation of Wnt/β-catenin signaling by W2A-28 is associated with elevated LRP6 protein level. Importantly, W2A-28 displays excellent microsomal stability in both mouse and human liver microsomal stability assays, alongside high permeability and a lack of active efflux in MDR1-MDCKII models. Critically, W2A-28 treatment significantly enhances histone acetylation, activates Wnt/β-catenin signaling, and suppresses tau phosphorylation in AD patient-specific cerebral organoids carrying APOE ε4/ε4 or APOE ε3/ε4 with PSEN1 M146V mutation. Our findings position W2A-28 as a promising multi-target drug candidate for AD therapy.

Abstract Background Alzheimer’s disease (AD) is a multifactorial disease often with mixed pathologies. As such, drugs targeting multiple pathological processes simultaneously could have synergistic therapeutic effects. The histone acetylation homeostasis is greatly impaired in AD, and histone deacetylase (HDAC) inhibitors have been known to alleviate AD‐relevant pathologies in various animal models. In addition, Wnt/β‐catenin signaling is compromised in AD, and restoring Wnt/β‐catenin signaling is an attractive therapeutic strategy for AD treatment. CI‐994 is a class I HDAC inhibitor containing N‐(2‐aminophenyl)‐benzamide. Our recent studies indicate that CI‐994 is also an activator of Wnt/β‐catenin signaling by stabilizing Wnt co‐receptor LRP6. Method We use CI‐994 as a scaffold to develop novel potent dual modulators for class I HDAC inhibition and Wnt/β‐catenin signaling activation, and then determine the therapeutic potential of the lead compound W2A‐28 in AD patient‐specific iPSC‐derived cerebral organoids. Result W2A‐28 inhibits class I HDAC1, 2 and 3 activities with IC 50 values of 512 nM, 675 nM and 217 nM, respectively, with no inhibitory activities on other HDACs and Sirtuin family members. Furthermore, W2A‐28 greatly increases Wnt reporter activity with an EC 50 value of 1.61 µM in Wnt‐3A‐expressing HEK293 cells. As expected, activation of Wnt/β‐catenin signaling by W2A‐28 is associated with elevated Wnt co‐receptor LRP6 protein level by reducing LRP6 degradation. Importantly, W2A‐28 displays excellent aqueous solubility and microsomal stability. Further, W2A‐28 shows high permeability with no active efflux in MDR1‐MDCKII permeability assays and is not a P‐gp substrate. Finally, W2A‐28 significantly reduces Aβ40 and Aβ42 levels and suppresses tau phosphorylation in AD patient‐specific iPSC‐derived cerebral organoids carrying APOE4. Conclusion Our studies suggest that W2A‐28 is a potential drug candidate for the treatment of AD.

Background: Cardiac fibrosis is a central pathological process that leads to worse outcomes in various cardiomyopathies. Recent evidence shows that CDCP1 (CUB domain-containing protein 1) modulates myocardial recovery by attenuating human cardiac fibroblast (HCF) proliferation. This study investigates the hypothesis that selective targeting of the CDCP1 cleavage domain can mitigate fibroblast proliferation, thereby offering a novel therapeutic approach to reducing cardiac fibrosis. Methods: A high-throughput in silico screening was performed using the Enamine compound library, focusing on structural regions that include the cleavage and adjacent sites of CDCP1 . A total of 147 candidate compounds were prioritized based on docking scores and binding stability profiles. Selected compounds were subsequently evaluated in vitro using HCF cultures seeded at 3,000 cells/well in 96-well plates. Each compound was administered at 10 μM concentration, and cell proliferation and viability were assessed by time-lapse imaging in the Incucyte® system at 24 and 96 hours. All experiments were done in triplicate with appropriate DMSO vehicle controls. Results: Compound C3 significantly reduced HCF proliferation (Fig B) to 27.3±2.4% relative to DMSO controls (99.9±0.5%, P <0.001) at 96 hours. Detailed structural modeling indicated that C3 binds to the CDCP1 cleavage site (Fig C) with a favorable Glide XP docking score of -7.66 kcal/mol. The interaction is stabilized by hydrogen bonds with Lys365 and Cys374 (Fig D), and supplementary hydrophobic interactions between aromatic rings and aliphatic groups, which contribute to a strong inhibitory effect. Conclusion: Targeting the CDCP1 cleavage domain with compound C3 effectively diminishes HCF proliferation in vitro. Therefore, these results substantiate the therapeutic potential of CDCP1 inhibition in cardiac fibrosis. Ongoing in vivo studies will explore the translational relevance of these findings.

We present Liquid Adaptive AI as a theoretical framework and mathematical basis for artificial intelligence systems capable of continuous structural adaptation and autonomous capability development. This work explores the conceptual boundaries of adaptive AI by formalizing three interconnected mechanisms: (1) entropy-guided hyperdimensional knowledge graphs that could autonomously restructure based on information-theoretic criteria; (2) a self-development engine using hierarchical Bayesian optimization for runtime architecture modification; and (3) a federated multi-agent framework with emergent specialization through distributed reinforcement learning. We address fundamental limitations in current AI systems through mathematically formalized processes of dynamic parameter adjustment, structural self-modification, and cross-domain knowledge synthesis, while immediate implementation faces substantial computational challenges requiring infrastructure on the scale of current large language model training facilities, we provide architectural specifications, theoretical convergence bounds, and evaluation criteria as a foundation for future research. This theoretical exploration establishes mathematical foundations for a potential new paradigm in artificial intelligence that would transition from episodic training to persistent autonomous development, offering a long-term research direction for the field. A comprehensive Supplementary Materials document provides detailed technical analysis, computational requirements, and an incremental development roadmap spanning approximately a decade.

Selective inhibition of the more than 100 S1 family serine proteases is a long-standing challenge due to their active site similarity. Mesotrypsin, implicated in cancer progression, exemplifies these difficulties; no current inhibitors achieve selectivity over other human trypsins. We found an unexpected autoinhibited conformation of mesotrypsin via x-ray crystallography, revealing a cryptic pocket adjacent to the active site. Using high-throughput virtual screening targeting this cryptic pocket, we identified a conformationally selective small-molecule inhibitor that stabilizes the inactive state of mesotrypsin. This inhibitor demonstrates selectivity for mesotrypsin over other trypsins. Our findings challenge the accepted view of digestive trypsins as constitutively active enzymes lacking potential for allosteric regulation. Furthermore, analyses of other structures suggest that dynamic sampling of closed states with analogous allosteric cryptic pockets appears widespread among S1 serine proteases. These observations point to a potentially generalizable strategy to achieve selective inhibition, offering broad implications for drug development targeting serine proteases in cancer and other diseases.

Alzheimer’s disease (AD) is marked by the pathological accumulation of amyloid beta-42 (Aβ42), contributing to synaptic dysfunction and neurodegeneration. While extracellular amyloid plaques are well-studied, increasing evidence highlights intracellular Aβ42 as an early and toxic driver of disease progression. In this study, we present a novel, Generative AI–based drug design approach to promote targeted degradation of Aβ42 via the ubiquitin–proteasome system (UPS), using E3 ligase–directed molecular glues. We systematically evaluated the ternary complex formation potential of Aβ42 with three E3 ligases (CRBN, VHL, and MDM2) through structure-based modeling, ADMET screening, and docking. We then developed a Ligase-Conditioned Junction Tree Variational Autoencoder (LC-JT-VAE) to generate ligase-specific small molecules, incorporating protein sequence embeddings and torsional angle-aware molecular graphs. Our results demonstrate that this generative model can produce chemically valid, novel, and target-specific molecular glues capable of facilitating Aβ42 degradation. This integrated approach offers a promising framework for designing UPS-targeted therapies for neurodegenerative diseases.

Abstract Breast cancer (BC) is the most common cancer diagnosed in American women. The majority of breast cancers express estrogen receptor (ER), progesterone receptor (PR), or human epidermal growth factor receptor 2 (HER2). However, 15-20% lack expression of all three and are called triple-negative breast cancer (TNBC). TNBC accounts for a disproportionately large amount of morbidity and mortality due to its aggressive nature and the paucity of effective adjuvant maintenance therapy, driving an urgent need for novel therapeutics. Z-endoxifen (ENDX) is a potent tamoxifen metabolite that dually targets ERα and protein kinase C beta I (PKCβI). We recently described next-generation molecules, the first-in-class endoxifen-PROTAC (ENDX-PROTAC) compounds which incorporate ENDX as the warhead and cereblon (CRBN) as the E3 ubiquitin ligase recruitment moiety (Jayaraman 2024, SABCS). We used the PRISM screen of over 900 cancer cell lines to determine that ENDX-PROTACs have broad antitumor activity in both TNBC and ER+ breast cancer in addition to, leukemia, pancreatic, lymphoma, lung, melanoma, and ovarian cancer cells, among others. ENDX-PROTACs primarily target a key translation termination factor, G to S phase transition 1 (GSPT1). Here, we demonstrate for the first time that these compounds also cause marked DNA damage. The lead compounds of this series, EPrC-007 and EPrC-009 demonstrated potent anti-proliferative effects in MDA-MB-231, BT549, and MDA-MB-436 TNBC cell lines. EPrC-007 induced substantial DNA double strand breaks in MDA-MB-231 cells as assessed by γ-H2AX Western blotting. Interrogation of DNA repair pathways revealed activation of ATM/CHK2 and downregulation of ATR/CHK1, suggesting inhibition of DNA repair as a potential mechanism. Additionally, EPrC-007 also induced γ-H2AX foci in MDA-MB-231 and BT549 cells, but not in the MCF10A normal breast tissue cell line, suggesting selective anti-tumor activity. Since we suspect that EPrC-007 blocks DNA repair machinery, we next sought to determine if these molecules would synergize with DNA damaging agents or other DNA repair inhibitors. Promisingly, EPrC-007 demonstrated remarkable synergy with olaparib (poly-(ADP-ribose) polymerase (PARP) inhibitor), hydroxyurea (ribonucleotide reductase inhibitor), and cisplatin (direct DNA damaging agent), but not camptothecin (topoisomerase I inhibitor). Importantly, only olaparib co-treatment demonstrated synergy in the PARP- and PROTAC-resistant HCC1143 TNBC cell line. Furthermore, the combination of EPrC-007 with olaparib induced markedly more γ-H2AX foci than either agent alone, confirming synergy at the DNA damage level. Taken together, our studies demonstrate the remarkable potential of ENDX-PROTACs in the single-agent setting as well as in combination with PARP inhibitors. Citation Format: Aamod S. Dekhne, Swaathi Jayaraman, Lucy Rai Thulung, Becky Bruinsma, Baustin M. Welch, Samuel Wyatt, Esther P. Rodman, Sayantani Bhattacharya, Thomas R. Caulfield, John R. Hawse, Matthew J. Schellenberg, Matthew P. Goetz. Novel endoxifen-based proteolysis targeting chimera (PROTAC) small molecules synergize with olaparib and exhibit potent antitumor activity in triple negative breast cancer through induction of DNA damage [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1666.

Abstract Advances in genomic medicine have accelerated the identification of mutations in disease- associated genes, but the pathogenicity of many mutations remains unknown, hindering their use in diagnostics and clinical decision-making. Predictive AI models have been generated to combat this issue, but current tools display low accuracy when tested against functionally validated datasets. We show that integrating detailed conformational data extracted from molecular dynamics simulations (MDS) into advanced AI-based models can increase their predictive power. We carried out an exhaustive mutational analysis of the disease gene PMM2 and subjected structural models of each variant to MDS. AI models trained on this dataset outperformed existing tools when predicting the known pathogenicity of mutations. Our best performing model, a neuronal networks model, was also able to predict the pathogenicity of several PMM2 mutations currently considered of unknown significance. We believe this new model will help alleviate the burden of unknown variants in genomic medicine.

Mutations in the PINK1 and PRKN genes are the most frequent genetic cause of early-onset Parkinson disease. The pathogenic p.R275W substitution in PRKN is the most frequent substitution observed in patients, and thus far has been characterized mostly through overexpression models that suggest a possible gain of toxic misfunction. However, its effects under endogenous conditions are largely unknown. We used patient fibroblasts, isogenic neurons, and post-mortem human brain samples from carriers with and without PRKN p.R275W to assess functional impact. Immunoblot analysis and immunofluorescence were used to study mitophagy activation, and mitophagy execution was analyzed by flow cytometry of the reporter mitoKeima. The functional analysis was accompanied by structural investigation of PRKN p.R275W. We observed lower PRKN protein in fibroblasts with compound heterozygous p.R275W mutations. Isogenic neurons showed an allele-dose dependent decrease in PRKN protein. Lower PRKN protein levels were accompanied by diminished phosphorylated ubiquitin and decreased MFN2 modification. Mitochondrial degradation was also allele-dose dependently impaired. Consistently, PRKN protein levels were drastically reduced in human brain samples from p.R275W carriers. Finally, structural simulations showed significant changes in the closed form of PRKN p.R275W. Our data suggest that under endogenous conditions the p.R275W mutation results in a loss-of-function by destabilizing PRKN.