Top Hits Research Articles

Ketone-based metabolism and signalling in heart failure with preserved ejection fraction (HFpEF)

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – EU funding. Main funding source(s): DZHK Deutsche Forschungsgemeinschaft (DFG-SFB_1470_A02) Cardiac metabolic remodelling in heart failure with preserved ejection fraction (HFpEF) underlies the pathogenesis of this syndrome. Yet, our understanding of metabolic alterations occurring in HFpEF hearts is still limited. Ketone bodies (KBs) – β-hydroxybutyrate (β-OHB) in particular – can become a major, alternative source of fuel for failing hearts. However, the biological relevance of KBs goes beyond their role as energy carrier. We used a ‘two-hit’ mouse model of HFpEF induced by high-fat-diet feeding and L-Name, aiming to evaluate metabolic alteration among various energy substrates (e.g., glucose, fatty acids), in particular the role of β-OHB in HFpEF hearts. Here, we showed that HFpEF heart exhibited impaired glucose oxidation and increased fatty acid oxidation. Impaired glucose oxidation was attributed to the reduced pyruvate dehydrogenase (PDH) activity and increased phospho-PDH expression via the activation of PDH kinase 4 (PDK4). The oxidation of β-OHB was reduced as a result of decreased β-OHB dehydrogenase (BDH1) and succinyl-coA-3-oxaloacid CoA transferase (SCOT) expression. Furthermore, we showed that β-OHB governs mitochondrial function and myocardial bioenergetics in HFpEF, acting as protein modifiers through β-hydroxybutyrylation (Kbhb) – a lysine-based post-translational modification (PTM). Immunoblot analysis for pan- β-hydroxybutyryllysine revealed a significant increase in Kbhb levels in the heart of ‘two-hit’ HFpEF mice compared to control mice. To identify the specific proteins and sites of Kbhb in the heart, Kbhb peptides from control and HFpEF mouse hearts were isolated by immunoaffinity enrichment using a pan-Kbhb antibody-conjugated beads. Volcano plot and gene ontology analysis showed that the most Kbhb-modified proteins in HFpEF hearts are mitochondrial enzymes. Glutamate oxaloacetate transaminase (GOT2) is one of the top hits, participating in the TCA cycle and malate-aspartate shuttle (MAS) in the mitochondria. We further demonstrated that GOT2 activity and MAS were enhacned in the mitochondrial of HFpEF hearts. To conclude, in the heart of ‘two-hit’ model of HFpEF, the oxidation of pyruvate was impaired resulting from decreased PDH activity. The oxidation of β-OHB was also reduced due to the down-regulated BDH1 activity. Instead of oxidation, Kbhb was highlighted as the primary mode of KB utilisation in HFpEF, affecting the GOT2 enzyme activity in MAS pathways. Our results shed light on identifying a novel role of KBs, which can facilitate the understanding of pathogenesis in HFpEF.Ketone-based metabolism and signalling

Small-Molecule Disruptors of the Interaction between Calcium- and Integrin-Binding Protein 1 and Integrin αIIbβ3 as Novel Antiplatelet Agents.

Thrombosis, a key factor in most cardiovascular diseases, is a major contributor to human mortality. Existing antithrombotic agents carry a risk of bleeding. Consequently, there is a keen interest in discovering innovative antithrombotic agents that can prevent thrombosis without negatively impacting hemostasis. Platelets play crucial roles in both hemostasis and thrombosis. We have previously characterized calcium- and integrin-binding protein 1 (CIB1) as a key regulatory molecule that regulates platelet function. CIB1 interacts with several platelet proteins including integrin αIIbβ3, the major glycoprotein receptor for fibrinogen on platelets. Given that CIB1 regulates platelet function through its interaction with αIIbβ3, we developed a fluorescence polarization (FP) assay to screen for potential inhibitors. The assay was miniaturized to 1536-well and screened in quantitative high-throughput screening (qHTS) format against a diverse compound library of 14,782 compounds. After validation and selectivity testing using the FP assay, we identified 19 candidate inhibitors and validated them using an in-gel binding assay that monitors the interaction of CIB1 with αIIb cytoplasmic tail peptide, followed by testing of top hits by intrinsic tryptophan fluorescence (ITF) and microscale thermophoresis (MST) to ascertain their interaction with CIB1. Two of the validated hits shared similar chemical structures, suggesting a common mechanism of action. Docking studies further revealed promising interactions within the hydrophobic binding pocket of the target protein, particularly forming key hydrogen bonds with Ser180. The compounds exhibited a potent antiplatelet activity based on their inhibition of thrombin-induced human platelet aggregation, thus indicating that disruptors of the CIB1- αIIbβ3 interaction could carry a translational potential as antithrombotic agents.

Mitigating candidiasis with acarbose by targeting Candida albicans α-glucosidase: in-silico, in-vitro and transcriptomic approaches

Biofilm-associated candidiasis poses a significant challenge in clinical settings due to the limited effectiveness of existing antifungal treatments. The challenges include increased pathogen virulence, multi-drug resistance, and inadequate penetration of antimicrobials into biofilm structures. One potential solution to this problem involves the development of novel drugs that can modulate fungal virulence and biofilm formation, which is essential for pathogenesis. Resistance in Candida albicans is initiated by morphological changes from yeast to hyphal form. This transition triggers a series of events such as cell wall elongation, increased adhesion, invasion of host tissues, pathogenicity, biofilm formation, and the initiation of an immune response. The cell wall is a critical interface for interactions with host cells, primarily through various cell wall proteins, particularly mannoproteins. Thus, cell wall proteins and enzymes are considered potential antifungal targets. In this regard, we explored α-glucosidase as our potential target which plays a crucial role in processing mannoproteins. Previous studies have shown that inhibition of α-glucosidase leads to defects in cell wall integrity, reduced adhesion, diminished secretion of hydrolytic enzymes, alterations in immune recognition, and reduced pathogenicity. Since α-glucosidase, primarily converts carbohydrates, our study focuses on FDA-approved carbohydrate mimic drugs (Glycomimetics) with well-documented applications in various biological contexts. Through virtual screening of 114 FDA-approved carbohydrate-based drugs, a pseudo-sugar Acarbose, emerged as a top hit. Acarbose is known for its pharmacological potential in managing type 2 diabetes mellitus by targeting α-glucosidase. Our preliminary investigations indicate that Acarbose effectively inhibits C. albicans biofilm formation, reduces virulence, impairs morphological switching, and hinders the adhesion and invasion of host cells, all at very low concentrations in the nanomolar range. Furthermore, transcriptomic analysis reveals the mechanism of action of Acarbose, highlighting its role in targeting α-glucosidase.

A genome-scale screen identifies sulfated glycosaminoglycans as pivotal in epithelial cell damage by Candida albicans.

Candidalysin is a cytolytic peptide produced by the opportunistic fungal pathogen Candida albicans. This peptide is a key virulence factor in mouse models of mucosal and hematogenously disseminated candidiasis. Despite intense interest in the role of candidalysin in C. albicans pathogenicity, its host cell targets have remained elusive. To fill this knowledge gap, we performed a genome-wide loss-of-function CRISPR screen in a human oral epithelial cell line to identify specific host factors required for susceptibility to candidalysin-induced cellular damage. Among the top hits were XYLT2, B3GALT6 and B3GAT3, genes that function in glycosaminoglycan (GAG) biosynthesis. Deletion of these genes led to the absence of GAGs such as heparan sulfate on the epithelial cell surface and increased resistance to damage induced by both candidalysin and live C. albicans. Biophysical analyses including surface plasmon resonance and atomic force and electron microscopy indicated that candidalysin physically binds to sulfated GAGs, facilitating its oligomerization or enrichment on the host cell surface. The addition of exogenous sulfated GAGs or the GAG analogue dextran sulfate protected cells against candidalysin-induced damage. Dextran sulfate, but not non-sulfated dextran, also inhibited epithelial cell endocytosis of C. albicans and fungal-induced epithelial cell cytokine and chemokine production. In a murine model of vulvovaginal candidiasis, topical dextran sulfate administration reduced host tissue damage and decreased intravaginal IL-1β and neutrophil levels. Collectively, these data indicate that GAGs are epithelial cell targets of candidalysin and can be used therapeutically to protect cells from candidalysin-induced damage.

CRISPRi screens identify the lncRNA, LOUP, as a multifunctional locus regulating macrophage differentiation and inflammatory signaling

Long noncoding RNAs (lncRNAs) account for the largest portion of RNA from the transcriptome, yet most of their functions remain unknown. Here, we performed two independent high-throughput CRISPRi screens to understand the role of lncRNAs in monocyte function and differentiation. The first was a reporter-based screen to identify lncRNAs that regulate TLR4-NFkB signaling in human monocytes and the second screen identified lncRNAs involved in monocyte to macrophage differentiation. We successfully identified numerous noncoding and protein-coding genes that can positively or negatively regulate inflammation and differentiation. To understand the functional roles of lncRNAs in both processes, we chose to further study the lncRNA LOUP [lncRNA originating from upstream regulatory element of SPI1 (also known as PU.1)], as it emerged as a top hit in both screens. Not only does LOUP regulate its neighboring gene, the myeloid fate-determining factor SPI1, thereby affecting monocyte to macrophage differentiation, but knockdown of LOUP leads to a broad upregulation of NFkB-targeted genes at baseline and upon TLR4-NFkB activation. LOUP also harbors three small open reading frames capable of being translated and are responsible for LOUP's ability to negatively regulate TLR4/NFkB signaling. This work emphasizes the value of high-throughput screening to rapidly identify functional lncRNAs in the innate immune system.

Identifying p56lck SH2 Domain Inhibitors Using Molecular Docking and In Silico Scaffold Hopping

Bacterial infections are the second-leading cause of death, globally. The prevalence of antibacterial resistance has kept the demand strong for the development of new and potent drug candidates. It has been demonstrated that Src protein tyrosine kinases (TKs) play an important role in the regulation of inflammatory responses to tissue injury, which can trigger the onset of several severe diseases. We carried out a search for novel Src protein TK inhibitors, commencing from reported highly potent anti-bacterial compounds obtained using the Mannich reaction, using a combination of e-pharmacophore modeling, virtual screening, ensemble docking, and core hopping. The top-scoring compounds from ligand-based virtual screening were modified using protein structure-based design approaches, and their binding to the Src homology-2 domain of p56lck TK was predicted using ensemble molecular docking. We have prepared a database of 202 small molecules and have identified six novel top hits that can be subjected to further investigation. We have also performed in silico ADMET property prediction for the hit compounds. This combined computer-aided drug design approach can serve as a starting point for identifying novel TK inhibitors that could be further subjected to in vitro studies and validation of antimicrobial activity.

Molecular screening of phytocompounds targeting the interface between influenza A NS1 and TRIM25 to enhance host immune responses

BackgroundInfluenza A virus causes severe respiratory illnesses, especially in developing nations where most child deaths under 5 occur due to lower respiratory tract infections. The RIG-I protein acts as a sensor for viral dsRNA, triggering interferon production through K63-linked poly-ubiquitin chains synthesized by TRIM25. However, the influenza A virus's NS1 protein hinders this process by binding to TRIM25, disrupting its association with RIG-I and preventing downstream interferon signalling, contributing to the virus's evasion of the immune response. MethodsIn our study we used structural-based drug designing, molecular simulation, and binding free energy approaches to identify the potent phytocompounds from various natural product databases (>100,000 compounds) able to inhibit the binding of NS1 with the TRIM25. ResultsThe molecular screening identified EA-8411902 and EA-19951545 from East African Natural Products Database, NA-390261 and NA-71 from North African Natural Products Database, SA-65230 and SA- 4477104 from South African Natural Compounds Database, NEA- 361 and NEA- 4524784 from North-East African Natural Products Database, TCM-4444713 and TCM-6056 from Traditional Chinese Medicines Database as top hits. The molecular docking and binding free energies results revealed that these compounds have high affinity with the specific active site residues (Leu95, Ser99, and Tyr89) involved in the interaction with TRIM25. Additionally, analysis of structural dynamics, binding free energy, and dissociation constants demonstrates a notably stronger binding affinity of these compounds with the NS1 protein. Moreover, all selected compounds exhibit exceptional ADMET properties, including high water solubility, gastrointestinal absorption, and an absence of hepatotoxicity, while adhering to Lipinski’s rule. ConclusionOur molecular simulation findings highlight that the identified compounds demonstrate high affinity for specific active site residues involved in the NS1-TRIM25 interaction, exhibit exceptional ADMET properties, and adhere to drug-likeness criteria, thus presenting promising candidates for further development as antiviral agents against influenza A virus infections.

Construction of a screening system for lipid-derived radical inhibitors and validation of hit compounds to target retinal and cerebrovascular diseases

Recent studies have highlighted the indispensable role of oxidized lipids in inflammatory responses, cell death, and disease pathogenesis. Consequently, inhibitors targeting oxidized lipids, particularly lipid-derived radicals critical in lipid peroxidation, which are known as radical-trapping antioxidants (RTAs), have been actively pursued. We focused our investigation on nitroxide compounds that have rapid second-order reaction rate constants for reaction with lipid-derived radicals. A novel screening system was developed by employing competitive reactions between library compounds and a newly developed profluorescence nitroxide probe with lipid-derived radicals to identify RTA compounds. A PubMed search of the top hit compounds revealed their wide application as repositioned drugs. Notably, the inhibitory efficacy of methyldopa, selected from these compounds, against retinal damage and bilateral common carotid artery stenosis was confirmed in animal models. These findings underscore the efficacy of our screening system and suggest that it is an effective approach for the discovery of RTA compounds.

α-Glucosidase inhibitory potential of Oroxylum indicum using molecular docking, molecular dynamics, and in vitro evaluation

BackgroundAccording to the International Diabetes Federation, there will be 578 million individuals worldwide with diabetes by 2030 and 700 million by 2045. One of the promising drug targets to fight diabetes is α-glucosidase (AG), and its inhibitors may be used to manage diabetes by reducing the breakdown of complex carbohydrates into simple sugars. The study aims to identify and validate potential AG inhibitors in natural sources to combat diabetes. MethodsComputational techniques such as structure-based virtual screening and molecular dyncamic simulation were employed to predict potential AG inhibitors from compounds of Oroxylum indicum. Finally, in silico results were validated by in vitro analysis using n-butanol fraction of crude methanol extracts. ResultsThe XP glide scores of top seven hits OI_13, OI_66, OI_16, OI_44, OI_43, OI_20, OI_78 and acarbose were –14.261, –13.475, –13.074, –13.045, –12.978, –12.659, –12.354 and –12.296 kcal/mol, respectively. These hits demonstrated excellent binding affinity towards AG, surpassing the known AG inhibitor acarbose. The MM-GBSA dG binding energies of OI_13, OI_66, and acarbose were −69.093, −62.950, and −53.055 kcal/mol, respectively. Most of the top hits were glycosides, indicating that active compounds lie in the n-butanol fraction of the extract. The IC50 value for AG inhibition by n-butanol fraction was 248.1 μg/ml, and for that of pure acarbose it was 89.16 μg/ml. The predicted oral absorption rate in humans for the top seven hits was low like acarbose, which favors the use of these compounds as anti-diabetes in the small intestine. ConclusionIn summary, the study provides promising insights into the use of natural compounds derived from O. indicum as potential AG inhibitors to manage diabetes. However, further research, including clinical trials and pharmacological studies, would be necessary to validate their efficacy and safety before clinical use.

Abstract PO3-25-08: Artificial Intelligence-based screening of small molecule inhibitors of phosphoenolpyruvate carboxykinase 2 (PCK2), a novel cancer therapeutic target

Abstract Background: Metabolic rewiring is a hallmark of cancer that is often mediated by alterations in metabolic isozyme expression. Isozymes that are overexpressed in cancer and catalyze rate limiting steps in key metabolic processes are potential therapeutic targets. We previously identified phosphoenolpyruvate carboxykinase 2 (PCK2) as cancer dominant isoform, required for maintaining high metabolic activity and proliferation of lung, prostate, and breast cancer (BC) cells in vitro and in vivo. No PCK2 specific small molecule inhibitors exist. Methods: mRNA expression levels were assessed in the TCGA data. PCK2 MISSION shRNAs (Millipore) were used to knock-down expression of PCK2 in BC cells. Alterations in metabolic flux caused by PCK2 down-regulation were examined via 13C-labeling and mass spectrometry using a SCIEX 5500 QTRAP and SelexION instrument for mobility separation of metabolites. The AtomNetTM (Atomwise Inc.) deep convolutional neural network structure-based drug design software was used to identify candidate small molecule PCK2 inhibitors which were tested in PCK1 and PCK2 in vitro enzyme activity assays. The lead compound was assessed for drug-like properties by QickPropV4.0.001w, and its growth inhibitory activity was tested in MDA-MB-321 and BT-549 cells. Results: Analysis of mRNA levels in TNBC samples revealed a significant decrease in PCK1 expression compared to normal tissues, while PCK2 expression remained elevated or even increased. Quantification of mRNA levels in TNBC cell lines confirmed the higher expression of PCK2 compared to PCK1. To assess functional significance of PCK2 expression, we downregulated PCK2 using shRNA constructs in TNBC cell lines. Western blot analysis confirmed efficient knockdown of PCK2 protein without affecting PCK1 expression. Clonogenic assays demonstrated that PCK2-depleted BT-549 and MDA-MB-231 cells exhibited impaired proliferation, with reduced colony number and size compared to control cells. Metabolic analysis of PCK2-depleted TNBC cells demonstrated decreased levels of glycolytic and TCA intermediates and reduced flux through pyruvate carboxylase, indicating altered metabolic pathways upon PCK2 depletion. To identify potential inhibitors of PCK2, virtual screening was conducted using compound structures. We used a PCK2 protein structure homology model and designated the 3-mercaptopicolinic acid-binding site of the PCK1 structure as the site of interest to perform virtual drug screening of 7 million diverse compounds. The first screen yielded 86 structures to be tested in vitro, of which 5 demonstrated > 16% PCK2 inhibition. The top hit (IC50=2.4µM) was used to refine a second round of in silico screen that yielded 87 second-round candidates that were assessed for PCK2 inhibition in vitro. 3-(3,4-dihydroxyphenyl)-2-hydroxypropanoate emerged as the lead compound. QickProp predicted favorable absorption, distribution, metabolism, and excretion properties, but relatively low cell permeability (apparent Caco-2 and MDCK2 cell permeabilities 18 nm/sec and 8 nm/sec, respectively). The specificity of 3-(3,4-dihydroxyphenyl)-2-hydroxypropanoate was tested in PCK1 and PCK2 enzymatic assays and revealed IC50 of 500nM on PCK1 and an IC50 of 3 nM on PCK2. We next tested the cell growth inhibitory effect of 3-(3,4-dihydroxyphenyl)-2-hydroxypropanoate on parental MDA-MB-231 and BT-549 cells and their PCK2 knockdown clones. Cell growth and viability significantly decreased in the MDA-MD-231 and BT-549 parental cells (the IC50 for MDA-MB-231 was 173 μM) and in shRNA non-targeting control cells, but not in the PCK2 depleted clones, demonstrating PCK2-dependent inhibitory effect. Conclusion: We identified 3-(3,4-dihydroxyphenyl)-2-hydroxypropanoate as a high affinity selective PCK2 enzyme inhibitor. This compound also has significant growth inhibitory activity in BC cell lines in vitro and represents a novel therapeutic lead compound. Citation Format: Alejandro Rios Hoyo, Naing Lin Shan, Hao-Kuen Lin, Gerson Espinoza Campos, Mostafa Ahmed, Sheila Umlauf, Rebecca Cardone, Yulia V. Surovtseva, Vignesh Gunasekharan, Lajos pusztai. Artificial Intelligence-based screening of small molecule inhibitors of phosphoenolpyruvate carboxykinase 2 (PCK2), a novel cancer therapeutic target [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-25-08.

Abstract PO2-18-08: Identification of novel genetic/therapeutic vulnerabilities in breast cancer

Abstract Background: Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death among women worldwide. Triple negative breast cancer (TNBC) is an aggressive subtype that is defined by the lack of expression of estrogen and progesterone receptors in the absence of HER2 amplification or overexpression. TNBC represents 15-20% of all breast cancers and occurs more frequently in young premenopausal women. TNBC often ends with a poor clinical outcome due to high histological grade, rapid recurrence in many patients combined with few treatment options. These realities highlight the urgent need to identify novel therapeutics vulnerabilities that can be leveraged to improve TNBC patient outcomes. Methods: We utilized the publicly available DepMap and Kaplan Meier datasets to identify essential genes that were unique to TNBC cells and whose expression levels were associated with worse patient outcomes. siRNA based approaches were used to confirm the relevance of top hits in mediating cancer cell phenotypes including viability, cell-cycle profiles and induction of apoptosis among others. A novel drug currently being developed was identified for the top hit in these studies and was subsequently employed in multiple in vitro approaches to characterize the mechanisms of action in TNBC as well as initial efficacy studies using clinically relevant ex vivo patient derived models. Results: Using the DepMap database, we interrogated genome-wide sgRNA knockout screens conducted in over 40 breast cancer cell lines to identify specific genes whose expression was required for cell viability in TNBC cells, but not other breast cancer cell lines. This endeavor identified 6 genes (CTPS1, HUS1, PRKRA, RAD1, RAD9A and RHOA) that were preferentially essential in TNBC cells. Further profiling of these genes revealed that CTPS1 expression is higher in cancer relative to normal tissue and that its expression is further upregulated in chemotherapy- and PARPi-resistant models. Knockdown of CTPS1 in TNBC cells was shown to decrease cell proliferation and viability with no effects observed in estrogen receptor+ cell lines. Using a first-in-class, highly selective and orally bioavailable CTPS1 inhibitor (STP938) developed by Step-Pharma, we identified IC50s in the low nM range for many TNBC cell lines, including cell models that are resistant to existing standard-of-care therapies. Inhibition of CTPS1 was shown to arrest cells in S phase. Conclusions: Our studies have identified CTPS1 as an essential gene in TNBC. CTPS1 encodes an enzyme responsible for the catalytic conversion of UTP (uridine triphosphate) to CTP (cytidine triphosphate), an essential step in the biosynthesis of nucleic acids. These findings are timely in light of the recent and ongoing development of the first-in-class CTPS1 inhibitor, STP938, for which first-in-human studies are underway for refractory B- and T-cell lymphomas. Based on our initial studies using this drug, we provide pre-clinical evidence of its efficacy in multiple models of primary and advanced TNBC. Efforts are currently underway to move this work toward a clinical trial for TNBC patients. Citation Format: Xiyin Wang, Michael Emch, Lauren Voll, Rebecca Russell, Esther Rodman, Philip Beer, John Hawse. Identification of novel genetic/therapeutic vulnerabilities in breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-18-08.

Abstract PO2-13-07: SMARCA2 compensation of SMARCA4 loss mediates adaptive resistance to neoadjuvant systemic therapy in triple-negative breast cancer: paired transcriptomic analysis of pre- and post-treatment samples from NeoSTOP and NeoPACT

Abstract Objectives/Rationale: Triple-negative breast cancer (TNBC) patients with residual disease (RD) after neoadjuvant systemic therapy (NAST) are at high risk for disease recurrence and death. While multiple prognostic biomarkers associated with response to NAST have been identified, adaptive resistance mechanisms to NAST remain poorly understood. Identifying and characterizing adaptive resistance mechanisms can illuminate novel therapeutic approaches and improve outcomes for TNBC patients with RD. Methods: Total RNA was isolated from pre-treatment and paired surgical specimens (for patients with RD) from TNBC patients treated with chemotherapy on the NeoSTOP (NCT02413320) or chemoimmunotherapy on the NeoPACT (NCT03639948) neoadjuvant trials and was subjected to RNA exome sequencing. Comparative marker selection analysis was performed by computing the two-sided paired samples t-test for each gene followed by pre-ranked gene set enrichment analysis (GSEA) amongst 23,797 annotated gene sets. Gene sets with false-discovery rate (FDR) corrected P values < 0.001 were determined to be significant. Results: Pre-treatment sequencing data were available for N=200 patients and the overall pathologic complete response (pCR) rate was 56.5%. Paired pre- and post-treatment sequencing data were available for N=58 patients with RD (N=27 from NeoSTOP and N=31 from NeoPACT). 165/23,797 gene sets were significantly enriched in post-treatment compared to pre-treatment samples. SHEN_SMARCA2_TARGETS_UP (M29) was among the top five significantly enriched gene set and was selected for further analysis based on the known role of the SWI/SNF complex in cell survival and the availability of clinically viable SMARCA2 degraders. Pre-treatment SMARCA4 expression was associated with pCR, with lower median expression noted in patients with RD compared to patients who achieved pCR (P=0.04). Pre-treatment SMARCA2 expression was not associated with pCR (P=0.48). On paired sample analysis there was pronounced downregulation of SMARCA4 in post-treatment compared to pre-treatment samples in all patients (mean Z=-1.46, P< 0.0001), in patients treated with chemotherapy (mean Z=-1.65, P< 0.0001), and in patients treated with chemoimmunotherapy (mean Z=-1.28, P< 0.0001). Although there was no difference in SMARCA2 expression between paired pre- and post-treatment samples (mean Z=0.03, P=0.83), there was enrichment of SMARCA2 target expression on GSEA analysis (NES=2.63, FDR q< 0.00001) indicating that SMARCA2 activity is compensating for therapy-induced SMARCA4 loss. Conclusions: We identified 165 gene sets that were significantly enriched in paired post-treatment compared to pre-treatment TNBC samples. Altered activity of the SMARCA2 subunit of the SWI/SNF chromatin remodeling complex was identified as one of the top hits. SMARCA2 and SMARCA4 are mutually exclusive subunits of SWI/SNF, and inactivation of both SMARCA2 and SMARCA4 is synthetic lethal. We observed an association of lower pre-treatment SMARCA4 expression with resistance to NAST and pronounced therapy-induced downregulation of SMARCA4 and induction of SMARCA2 target genes in post-treatment compared to pre-treatment samples, suggesting that SMARCA2 compensates for adaptive SMARCA4 loss. SMARCA2 degraders are in early-phase clinical trials and are known to induce synthetic lethality in SMARCA4-deficient cells. Our results identify adaptive loss of SMARCA4 and synthetic lethal targeting of compensatory SMARCA2 as an attractive therapeutic target in TNBC patients with RD after neoadjuvant chemotherapy or chemoimmunotherapy. Citation Format: Shane Stecklein, Rachel Yoder, Joshua Staley, Zachary Schmitt, Anne O'Dea, Lauren Nye, Deepti Satelli, Gregory Crane, Rashna Madan, Maura O'Neil, Andrew Godwin, Harsh Pathak, Qamar Khan, Joyce O'Shaughnessy, Priyanka Sharma. SMARCA2 compensation of SMARCA4 loss mediates adaptive resistance to neoadjuvant systemic therapy in triple-negative breast cancer: paired transcriptomic analysis of pre- and post-treatment samples from NeoSTOP and NeoPACT [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-13-07.

Towards Digital Forensic Readiness: A Framework for Financial Service Providers

Digital Forensic Readiness has widely been referred to as an organization’s ability to proactively capture digital evidence and as a result, incur minimum costs of investigation in the event of incidents. However, several organizations still underestimate the usefulness of setting up their environments to be forensically ready until an incident occurs, and this often results in huge losses and costly investigations. Global trends show that financial institutions are amongst the worst-hit companies by cybercriminals, and this is attributed to one of the key motivations for cybercrime, which is financial gain. Kenya’s cybercrime statistics over the past five years also show that financial services remain amongst the top hit sectors by cybercriminals. The aim of this study was to develop a Digital Forensic Readiness framework for Financial Services Providers. To achieve this, the study assessed the relevant existing frameworks to explore their strengths and gaps. Additionally, the study explored the current state of forensic readiness in Kenyan financial institutions by reviewing secondary data and analysing primary data collected from respondents in the financial services sector. The study adopted a descriptive research design with the main data collection tool being questionnaires, which were administered to respondents through an online survey. The collected data was analysed using the SPSS software 28.0.1 and a multiple regression analysis was performed to determine the influence of organizational factors, legal factors, technology, and policies on Digital Forensic Readiness. The outcome of the analysis indicated that these factors indeed had a significant effect on forensic readiness, with organizational factors and policies having more impact on the framework. The study recommended that organizations not only focus on complying with laws and implementing technological controls, but also prioritize improving forensic readiness awareness and culture, supporting forensic readiness activities, setting up training, and enforcing policies to ensure personnel compliance

Genetic Screening of Haploid Neural Stem Cells Reveals that Nfkbia and Atp2b4 are Key Regulators of Oxidative Stress in Neural Precursors.

Neurological diseases are expected to become the leading cause of death in the next decade. Although little is known about it, the interaction between oxidative stress and inflammation is harmful to the nervous system. To find an advanced tool for neural genetics, mouse haploid neural stem cells (haNSCs) from the somite of chimeric mouse embryos at E8.5 is established. The haNSCs present a haploid neural progenitor identity for long-term culture, promising to robustly differentiate into neural subtypes and being able to form cerebral organoids efficiently. Thereafter, haNSC mutants via a high-throughput approach and screened targets of oxidative stress is generated using the specific mutant library. Deletion of Nfkbia (the top hit among the insertion mutants) reduces damage from reactive oxygen species (ROS) in NSCs exposed to H2O2. Transcriptome analysis revealed that Atp2b4 is upregulated significantly in Nfkbia-null NSCs and is probably responsible for the observed resistance. Additionally, overexpression of Atp2b4 itself can increase the survival of NSCs in the presence of H2O2, suggesting that Atp2b4 is closely involved in this resistance. Herein, a powerful haploid system is presented to study functional genetics in neural lineages, shedding light on the screening of critical genes and drugs for neurological diseases.

Exploring the Potential of Natural Products as FoxO1 Inhibitors: an In Silico Approach.

FoxO1, a member of the Forkhead transcription factor family subgroup O (FoxO), is expressed in a range of cell types and is crucial for various pathophysiological processes, such as apoptosis and inflammation. While FoxO1's roles in multiple diseases have been recognized, the target has remained largely unexplored due to the absence of cost-effective and efficient inhibitors. Therefore, there is a need for natural FoxO1 inhibitors with minimal adverse effects. In this study, docking, MMGBSA, and ADMET analyses were performed to identify natural compounds that exhibit strong binding affinity to FoxO1. The top candidates were then subjected to molecular dynamics (MD) simulations. A natural product library was screened for interaction with FoxO1 (PDB ID- 3CO6) using the Glide module of the Schrödinger suite. In silico ADMET profiling was conducted using SwissADME and pkCSM web servers. Binding free energies of the selected compounds were assessed with the Prime-MMGBSA module, while the dynamics of the top hits were analyzed using the Desmond module of the Schrödinger suite. Several natural products demonstrated high docking scores with FoxO1, indicating their potential as FoxO1 inhibitors. Specifically, the docking scores of neochlorogenic acid and fraxin were both below -6.0. These compounds also exhibit favorable drug-like properties, and a 25 ns MD study revealed a stable interaction between fraxin and FoxO1. Our findings highlight the potential of various natural products, particularly fraxin, as effective FoxO1 inhibitors with strong binding affinity, dynamic stability, and suitable ADMET profiles.

Abstract LB405: CTP synthase 1 is a synthetic vulnerability in prostate cancer treated with supraphysiological androgen

Abstract Bipolar androgen therapy (BAT) is the cyclical administration of supraphysiological androgen (SPA), which can be an effective treatment for 30-40% of patients with castration-resistant prostate cancer. We sought to improve the efficacy of BAT by better understanding its molecular consequences in prostate cancer. Given that the androgen receptor (AR) regulates cellular metabolism, we hypothesized that SPA induces dependencies on specific metabolic pathways that might be exploited therapeutically. A negative selection metabolism-focused CRISPR-KO screen in LNCaP cells treated with SPA suggested that the deletion of several enzymes involved in de novo nucleotide synthesis enhances growth suppression by SPA. A top hit was cytidine triphosphate synthase 1 (CTPS1). CTPS1 converts UTP to CTP in the final step of de novo pyrimidine synthesis. Exposure of SPA-treated prostate cancer cell lines to STP-B, a potent and highly selective inhibitor of CTPS1 (PMID 37008165), increased cell death in vitro and in vivo, indicating that CTPS1 constitutes a metabolic vulnerability in this context. Inhibition of CTPS1 with STP-B induced S phase cell cycle arrest and replication stress, as indicated by phosphorylation of RPA and CHEK proteins, which was augmented by treatment with SPA. CTPS1 likely becomes a vulnerability in SPA-treated prostate cancer due to the downregulation of MYC by SPA, which we found leads to a reduced abundance of enzymes required for nucleotide synthesis and nucleotides, particularly CTP. This rewires nucleotide synthesis and salvage pathway such that de novo synthesis of CTP is required to avoid replication stress and cell death. Altogether, this work suggests that inhibition of CTPS1 may enhance the efficacy of BAT through the induction of replication stress. Selective inhibitors of CTPS1 have entered clinical development (NCT05463263), increasing the feasibility of a combination therapy clinical trial design for patients with prostate cancer. Citation Format: Sheila Jonnatan, Rajendra Kumar, Varsha Vakkala, Karthik Vasan, Zachary R. Chalmers, Daniel R. Schmidt, Philip A. Beer, Matthew G. Vander Heiden, Samuel R. Denmeade, Navdeep S. Chandel, Laura A. Sena. CTP synthase 1 is a synthetic vulnerability in prostate cancer treated with supraphysiological androgen [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB405.

47 Cross-ancestry GWAS meta-analysis of keloids discovers novel susceptibility loci in diverse populations

OBJECTIVES/GOALS: We aimed to conduct an updated genome-wide meta-analysis of keloids in expanded populations, including those most afflicted by keloids. Our overall objective was to improve understanding of keloid development though the identification and further characterization of keloid-associated genes with genetically predicted gene expression (GPGE). METHODS/STUDY POPULATION: We used publicly available summary statistics from several large-scale DNA biobanks, including the UK Biobank, FinnGen, and Biobank Japan. We also leveraged data from the Million Veterans Program and performed genome-wide association studies of keloids in BioVU and eMERGE. For each of these datasets, cases were determined from ICD-9/ICD-10 codes and phecodes. With these data we conducted fixed effects meta-analysis, both across ancestries and stratified by broad ancestry groups. This approach allowed us to consider cumulative evidence for genetic risk factors for keloids and explore potential ancestry-specific components of risk. We used FUMA for functional annotation of results and LDSC to estimate ancestry-specific heritability. We performed GPGE analysis using S-PrediXcan with GTEx v8 tissues. RESULTS/ANTICIPATED RESULTS: We detected 30 (23 novel) genomic risk loci in the cross-ancestry analysis. Major risk loci were broadly consistent between ancestries, with variable effects. Keloid heritability estimates from LDSC were 6%, 21%, and 34% for European, East Asian, and African ancestry, respectively. The top hit (P = 1.7e-77) in the cross-ancestry analysis was at a replicated variant (rs10863683) located downstream of LINC01705. GPGE analysis identified an association between decreased risk of keloids and increased expression of LINC01705 in fibroblasts (P = 3.6e10-20), which are important in wound healing. The top hit in the African-ancestry analysis (P = 5.5e-31) was a novel variant (rs34647667) in a conserved region downstream of ITGA11. ITGA11 encodes a collagen receptor and was previously associated with uterine fibroids. DISCUSSION/SIGNIFICANCE: This work significantly increases the yield of discoveries from keloid genetic association studies, describing both common and ancestry-specific effects. Stark differences in heritability support a potential adaptive origin for keloid disparities. Further work will continue to examine keloids in the broader context of other fibrotic diseases.

First Report of Aeromonas schubertii Infection in Striped Snakehead Channa striata (Bloch, 1793) Fingerlings in Malaysia

Striped snakehead fingerlings Channa striata reared in a concrete pond with size 13.5 m3 (3 m ´ 3 m ´ 1.5 m) in a hatchery farm, in Labu, Negeri Sembilan, Malaysia had more than 70% mortality. The pond contained 1500 fingerlings of 5–7 cm in total length (TL). The purpose of this study was to investigate the high mortality event on the farm as part of a veterinary diagnostics service. Clinical signs observed were skin discoloration, lethargy, and anorexia. Necropsy was performed in 10 fish with gross lesions of 1–2 mm and multiple whitish nodules in the abdominal organs and most notably in the liver, and kidney. Following necropsy, bacteriology samples from the kidney and liver were inoculated onto Tryptic Soy Agar (TSA) and Blood Agar (BA). Pure colonies were observed and were Gram-negative with short rod morphology. The full-length 16S rRNA gene was amplified from the pure colonies followed by sequencing using the Nanopore MinION™ (Oxford Nanopore, UK). The isolated strain was identified as Aeromonas schubertii based on the assembled 16S rRNA sequence showing nucleotide identity of 99.73% (top hit) to A. schubertii (GenBank Accession: NR_037014.2) while only a nucleotide identity of 97.55% was observed against Aeromonas hydrophila (GenBank Accession: NR_119190.1-), respectively. Histopathological examination from the liver, kidney, spleen, and intestine revealed granulomatous nephritis, and degeneration of tubular epithelium, with granulomatous hepatitis, splenitis, and enteritis. The prognosis of this case was grave. No treatment was given as the owner had decided to dispose of all current stock. This is the first A. schubertii infection in C. striata described in Malaysia. The findings of the present study may serve as a reference for similar cases in C. striata in the future so rapid diagnosis and treatment can be made if required.

Abstract 901: BATCHIE: An active learning platform for scalable combination drug screens

Abstract Large-scale combination drug screens are largely considered intractable due to the immense number of possible combinations. Existing approaches use ad hoc fixed experimental designs then train machine learning models to impute novel combinations. We introduce BATCHIE, an orthogonal approach that adaptively conducts experiments in batches. BATCHIE uses information theory and probabilistic modeling to design each batch to be maximally informative based on the results of previous experiments. BATCHIE is fully modular, allowing any Bayesian probabilistic model to be used and any study constraints to be incorporated while maintaining optimality guarantees. Results: In retrospective simulations on public combination screens, BATCHIE saved 10s of thousands to 100s of thousands of experiments relative to non-adaptive baselines. We conducted a prospective study focusing on pediatric sarcomas with BATCHIE. Our study covered 16 cell lines spanning Ewing sarcoma (EWS), osteosarcoma, rhabdomyosarcoma, as well as non-sarcoma cancers and non-cancer lines. We used a drug library of 206 drugs at two doses. After 15 rounds of BATCHIE-driven data collection, we observed 54K unique combinations, covering 4% of the experimental landscape. On unobserved validation data, the BATCHIE model predictions were highly accurate (Pearson’s rho=0.91, p<10-30) and detected the rare (0.004%) combinations with significant synergy (AUC of ROC=0.85, p<10-5). We further investigated 10 combinations that BATCHIE predicted to have high therapeutic index (TI) for a broad selection of EWS lines, meaning a large differential effect between the predicted viabilities of the control lines and the target lines. We found that the TI scores for the top hits were significantly larger than the rest of the screen (p<10−50), with the median top hit TI score lying in the 98th percentile of observed TI scores. We further validated 6 of the top hits in an ex vivo study on 2 patient-derived EWS samples, again finding significantly large TI values (p<10-13), with the median ex vivo TI score lying in the 96th percentile of observed TI scores. The top hits also exhibited biologically plausible rationales including combining PARP inhibitors with topoisomerase 1 inhibitors and alkylating agents, despite our model utilizing no prior knowledge on the molecular targets of our drug library. Combining PARP inhibitors with topoisomerase 1 inhibitors comprise 3 of the 6 currently open phase II clinical combination trials for EWS. Citation Format: Christopher Tosh, Mauricio Tec, Jessica White, Jeffrey F. Quinn, Glorymar Ibanez Sanchez, Paul Calder, Andrew L. Kung, Filemon S. Dela Cruz, Wesley Tansey. BATCHIE: An active learning platform for scalable combination drug screens [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 901.

Abstract 259: Zebrafish empowered large-scale drug screen to uncover novel targets of self-renewal in T-cell acute lymphoblastic leukemia initiating cells

Abstract T-cell Acute Lymphoblastic Leukemia (T-ALL) patients who experience relapse have a dismal prognosis, with 5-year overall survival rates of 10% for adults and 36% for children. Relapse is attributed to cytotoxic chemotherapy’s inability to target Leukemia Initiating Cells (LICs) that have the potential to re-populate the cancer. There is a need for novel therapeutic strategies to target LIC self-renewal in T-ALL with improved safety profiles and better chances of transition to clinical development. This project utilized a transgenic zebrafish model that accurately recapitulates the most aggressive form of the human T-ALL. This model offered several advantages, including a high frequency of LICs and suitability for drug testing. Over 770 FDA-approved drugs were screened, in vivo using >2,500 syngeneic CG1 zebrafish. Further secondary screening in human T-ALL cells narrowed down the potential hits into 4 compounds that specifically interfere with self-renewal. Finally, the hit drug Amiloride was confirmed by a limiting dilation assay (LDA), resulting in a more than 4-fold decrease in the LIC frequency (p=0.0026). The top hit, Amiloride, which reduced the frequency of LICs in zebrafish and human T-ALL cells, is an inhibitor of the Sodium Hydrogen Exachanger-1 (NHE1). NHE1 has been previously linked to the proliferation, migration, and drug resistance of different cancers. In addition, Amiloride treatment was found to impair mitochondrial function in cancer cells, offering a possible mechanism for the inhibition of LICs. Research has not yet investigated how NHE1, and the altered mitochondrial dynamics related to its inhibition affect the development and persistence of LICs in T-ALL. In our human T-ALL cells, we found that Amiloride significantly reduced mitochondrial basal respiration (p=0.0074), ATP production (p=0.0008) and increased the expression of genes associated with mitochondrial stress such as TFAM, PINK1, PARKIN and MT-CO1. Experiments using shRNA mediated knock down of the NHE1 in human T-ALL cells are underway and will be followed by investigating the impact of NHE1 inhibition on primary patient-derived T-ALL cells in a mouse model. Overall, this project showcases of the power of the zebrafish in cancer research in an efficient and accurate large-scale screen for drugs that impact LIC self-renewal. We have identified Amiloride as a top hit that reduces the frequency of LIC in vivo and in vitro. Finally, we are continuing to investigate the role of the NHE1 in self-renewal in human T-ALL and the associated mitochondrial alterations. Citation Format: Majd Al-Hamaly, Yelena Chernyavskaya, Emma Arvin, Logan Turner, Meghan Haney, Jessica Blackburn. Zebrafish empowered large-scale drug screen to uncover novel targets of self-renewal in T-cell acute lymphoblastic leukemia initiating cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 259.