Vision Screening Research Articles

Abstract 7496: The piritramide-based perioperative analgesia can affect the cancer dissemination in colorectal cancer patients

Abstract Introduction: Colorectal cancer (CRC) stands as a prominent contributor to global cancer-related mortality. Post-surgical management of CRC patients often involves the administration of opioid analgesics. These analgesics operate through opioid and cannabinoid receptors, pathways implicated in tumor progression and metastasis, potentially impacting patient survival adversely. This investigation delves into the influence of piritramide and morphine on cancer dissemination, encompassing in vitro and in vivo assessments, cytotoxicity analyses, and elucidation of their mode of action. Methods: The presence of circulating tumor cells (CTCs) in the blood of 131 CRC patients was quantitatively assessed using the real-time polymerase chain reaction (qPCR) method. Cytotoxic effects of morphine and piritramide were evaluated via colony-forming assays (CFA) utilizing HCT116 and HT29 cell lines. The impact of piritramide and morphine on opioid receptor activity was gauged through transfected reporter cell lines and fluorescence imaging plater reader (FLIPR) calcium assays. In vivo models involving subcutaneous and intrasplenic administration in SCID and BALB mice, respectively, utilizing HCT116 and HT29 cell lines, were conducted. Morphological profiling, employing the cell painting assay, facilitated high-content image-based analysis on both cell lines. Results: Perioperative analgesia with piritramide exhibited a tendency towards longer time to recurrence (TTR) survival in CRC patients (HR=1.8, p=0.104). Conversely, morphine-treated patients demonstrated a twofold increase in TTR events (HR=4.7, p=0.011). Piritramide, but not morphine, significantly inhibited colony growth in HCT116 and HT-29 cell lines in the CFA, consistent with cytotoxicity test results. Functional assays revealed agonistic effects of both piritramide and morphine on opioid receptor kappa 1 (OPRK1) and mu 1 (OPRM1), with piritramide exhibiting greater potency as an OPRK1 agonist. In the SCID mice model, subcutaneous application of HT29 cell lines resulted in significantly reduced tumor growth in piritramide-treated mice. In the intrasplenic model utilizing BALB mice, mice treated with piritramide exhibited diminished tumor growth and a reduction in both the number and size of metastases. Comparative analysis with reference compounds revealed a distinct phenotypic profile of piritramide affecting the endoplasmic reticulum. Conclusion: Piritramide, as opposed to morphine, demonstrated cytotoxic effects on both in vitro and in vivo CRC cell lines, resulting in reduced tumor growth and dissemination. Perioperative analgesia with piritramide exhibited potential in improving time to recurrence survival in CRC patients. Acknowledgement: This study received support from the European Union - Next Generation EU (LX22NPO5102) and Palacky University Olomouc (LF 2023_006). Citation Format: Josef Srovnal, Emil Berta, Monika Vidlarova, Alona Rehulkova, Katerina Jecmenova, Miroslav Popper, Alzbeta Srovnalova, Petr Prasil, Pavel Skalicky, Tomas Gabrhelik, Jan Maca, Pavel Michalek, Marian Hajduch. The piritramide-based perioperative analgesia can affect the cancer dissemination in colorectal cancer patients [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 7496.

Understanding Vision Impairment: A Comprehensive Study of Uncorrected Refractive Errors among Primary School Teachers and Pupils in Nongowa Chiefdom, Kenema District, Sierra Leone

Introduction: Uncorrected Refractive Error (URE) is a major concern globally, particularly in developing nations like Sierra Leone, where limited access to eye care services poses challenges. Aim: This study, conducted in Nongowa Chiefdom, Kenema District, Sierra Leone, aimed to investigate the prevalence of URE and associated knowledge, attitudes, and practices among primary school pupils and teachers. Methods: Descriptive cross-sectional designs, incorporating both qualitative and quantitative methods were used. A structured survey questionnaire and visual acuity screening tools were used to assess uncorrected refractive errors among 692 randomly selected participants, data analysis involved descriptive statistics and qualitative content analysis. Results: The study involved 374 pupils and 318 teachers from 145 public and 14 private schools, uncorrected refractive error prevalence was 66%, with hypermetropia most prevalent and blindness at 0.13%. Girls contributed 29% of cases compared to boys' 25%. Ages 5-17 were most affected. Public schools accounted for 91% of cases, with peri-urban areas contributing 24% and urban areas 76%. Economic status and education influenced prevalence. Teachers played a crucial role in promoting eye health education. Economic factors may have influenced observed differences in refractive errors. Conclusion: The study highlighted the multifaceted nature of URE, involving demographic, economic, and educational factors. Addressing these complexities through targeted interventions is crucial for mitigating the burden of visual impairment in the region.

Abstract 2589: Novel workflow to generate natural killer cell sensitivity prediction model based on the epithelial mesenchymal transition related reprogramming at a single cell resolution

Abstract Single cell technology allows us to examine cell heterogeneity and identify rare cell populations; however, the high cost of single cell RNAseq limits its adoption into clinical and research environments. As an inexpensive alternative, immunofluorescent assays analyzing cell morphologies have been used in high content screening to examine cell phenotype and response to external stresses. Natural Killer cells (NK) are the bodies first line of defense and gained traction as a potential target in treating cancer. A study showed that cancer cells undergoing the process epithelial mesenchymal transition (EMT) increase their vulnerability to NK mediated cytotoxicity. We hypothesize that the EM morphology change can be correlated with NK sensitivity. Our goal is to develop an image-based, cost-effective, and efficient workflow capable of extracting cancer cell morphological features to predict its NK sensitivity at the single-cell level. To optimize this workflow, we use A549 cell line cells treated with transforming growth factor- β (TGF-β) as a representative models of cells with various EM phenotypes as NK sensitivities. We utilized a Cell Painting inspired novel image based live cell cytotoxicity assay. To capture cell morphological features, we optimized an organelle specific and live cell compatible staining panel that targets the nucleus, nucleic acid, cell membrane, F-actin, and mitochondria. The cell viability is assessed by Propidium Iodide, which stains dead cell nuclei. Our image analysis pipeline can extract the morphological features and track the cells of interest during the experiment and assess their viability. Subsequently, the morphology and viability data will be processed by a classification algorithm that could discern morphological features of cancer cells that indicate high NK vulnerability. We started with treating A549 cells with 5ng/mL TGF-β for 0, 24, 48, and 72 hours, and successfully applied the organelle staining panel. We observed distinct cell morphologies at each timepoint of TGF-β treatment, with cells shifting from a cobblestone (no TGF-β) to a spindle-like (72 hours TGF-β) morphology. Notably, the F-actin signal was significantly overexpressed in the 72 hours TGF-β treated A549 cells. A CellProfiler based preliminary image analysis pipeline was established for cell segmentation, cell features extraction, and cell viability tracking with quality control filters. Further optimization for cell segmentation, viability tracking, and classification algorithms will be needed to enhance the robustness of the workflow. Our established workflow demonstrates the feasibility of live cell functional assay with organelle staining. This workflow could be adopted to correlate and predict single tumor cell susceptibility to cytotoxic immune cells, with the goal of developing a therapeutic index. Citation Format: Yin Zou, Harrison Ball, Cade Harris, Nithya Ramnath, Venkateshwar Keshamouni, Sunitha Nagrath. Novel workflow to generate natural killer cell sensitivity prediction model based on the epithelial mesenchymal transition related reprogramming at a single cell resolution [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 2589.

Abstract 3338: Development of a CK2α inhibitor for treatment of wnt-driven colorectal cancer

Abstract A novel, potent and highly selective orally bioavailable small molecule inhibitor of Casein Kinase 2α (CK2α) has been developed and validated in pre-clinical models of wnt-driven colorectal carcinoma; and is poised to enter clinical development.CK2α is considered as a positive regulator of wnt signaling and tumorigenesis. The wnt pathway is known to be sensitive to and amplified by CK2α activity at multiple nodes and can be inhibited by loss of CK2α function. The human genetics of colorectal cancer (CRC) have been well characterized and approximately 80% tumors are identified as being wnt pathway mutation driven. CRC tumors can be further stratified into consensus molecular subtypes (CMS), with iCMS2 representing 37% of CRC patients, being characterized by ongoing wnt pathway upregulation. Development of CK2α inhibitors as a targeted therapy for CRC is therefore mechanistically well aligned to the wnt signaling drive and may serve as a promising therapeutic strategy for this cancer. A novel small molecule binding site on CK2α has been exploited to design and develop an inhibitor with Ki of 95 pM and exquisite selectivity over the kinome. This inhibitor has been comprehensively characterized using in vitro, ex vivo and in vivo pharmacology studies. Cellular mechanism of action studies in CRC cell lines have quantified the potency of target engagement, inhibition of known CK2α phospho-sites, inhibition of tumorigenic wnt pathway activity, and induction of apoptosis. This CK2α inhibitor was also profiled in a high content screen of CRC patient-derived organoids established from various driver mutation backgrounds. Use of these ex vivo models has validated the potent cytotoxic activity of CK2α inhibition in tumor samples with wnt-driven characteristics and highlights the potential therapeutic efficacy of CK2α inhibition in this setting. In vivo CRC xenograft studies have confirmed anti-tumor efficacy and developed the understanding of pharmacokinetic pharmacodynamic relationship between free plasma concentration of drug and inhibition of CK2α-specific biomarker in the tumor. The preclinical data presented establishes the strong rationale for clinical development of a novel CK2α inhibitor for the treatment of locally advanced or metastatic solid tumors, with an emphasis on wnt-driven CRC. Citation Format: Darren Cawkill. Development of a CK2α inhibitor for treatment of wnt-driven colorectal cancer [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 3338.

Abstract 6778: New microplate platform with cryopreserved 3D tumor spheroids for faster and convenient pre-clinical testing

Abstract Drug discovery and safety testing depend on predictive in vitro models, including multicellular tissues with organotypic functions. While traditional 2D tumor cell cultures have been extensively used in early drug screening due to their user-friendly nature, automation compatibility, and high throughput, they fall short in representing the intricate 3-dimensional structure, physiology, and complex multicellular nature of actual tumors. However, generating such 3D tissues for each test campaign is labor intensive. In addition, not all researchers have the resources to establish these 3D models. To pave the way, we developed a new platform that offers a range of cryopreserved 3D tumor models in micro plate format allowing for high-content screening. It enables users to start testing compounds within a 3-to-5 days simply by thawing an ARCTis™ plate (Always Ready Cryo Tissues) and following clear instructions. Another advantage of these cryopreserved 3D models derives from the fact that they are made in larger batches which means the start point for compound testing is always the same. This improves data quality, maximizes the test window length, and makes the data comparable across work groups. Currently, our growing portfolio consists of 25 tumor cell lines from ATCC representing the most common solid tumors. Their functionality has been determined based on efficacy tests for each cell line with the apoptotic agent Staurosporine. Various cell lines exhibited compact spheroids with a round morphology, less compact aggregates with non-spherical morphology, or loose cell-cell interaction aggregates, which can correlate with their tumor site of origin. Upon treatment with Staurosporine the dose-response profiles indicated growth inhibition, tumor shrinkage, or tumor cell killing effects based on size assessment and cell metabolic analysis (ATP). Moreover, we demonstrated the robust performance of these assays from plates stored for up to 6 months at -80°C.In conclusion, this groundbreaking approach addresses the limitations of traditional 2D cell cultures by providing a high-throughput, in-plate frozen, 3D cell culture platform. By offering a combination of a more physiologically relevant representation of tumors with a robust frozen-storage and time flexible assay platform our method holds great promise for advancing cancer drug discovery by easing the exploration of complex drug testing screens in vitro. Citation Format: Nils Goedecke, Simon Stroebel, Simon Hutter, Tala Issa, Irina Agarkova, Laure-Anne Ligeon, Olivier Frey. New microplate platform with cryopreserved 3D tumor spheroids for faster and convenient pre-clinical testing [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 6778.

Abstract 3227: Developing brain-penetrating MAT2A inhibitors for MTAP-deleted brain metastatic cancer and GBM

Abstract Background: Homozygous deletion of MTAP is one of the most frequent genetic alterations in various solid tumors including glioblastoma (GBM), mesothelioma, pancreatic cancer and lung cancer. While MTAP-deleted cancers are associated with a poor prognosis, there are no approved drugs for the treatment of patients with MTAP deficiency. MAT2A has emerged as a potential target for selective anticancer effects in MTAP-deleted cancers. However, development of brain-penetrating MAT2A inhibitors are yet to be reported in preclinical or clinical stages despite of high MTAP deletion fraction in GBM and brain metastatic cancers. Here, we present highly potent and selective MAT2A inhibitors capable of brain penetration for MTAP deleted cancer therapy. Methods: A MAT2A biochemical enzyme assay was performed with phosphonate colorimetric kit. To evaluate in vitro and in vivo activities of compounds, S-adenosylmethionine (SAM) and symmetrical dimethyl arginine (SDMA) levels were measured using LC-MS/MS and high-content screening systems. Cell growth inhibition assay was evaluated to confirm the selectivity in isogenic pairs of HCT116 WT and MTAP-deleted cells. In vivo efficacy was conducted using the MTAP-deleted HCT116 xenograft. Results: To develop novel brain penetrating scaffolds, we focused on interaction of hydrogen bond acceptor in the scaffolds with arginine residue Arg313 in MAT2A protein and the improvement of physicochemical properties, including logP and logBB. A series of MAT2A inhibitors significantly inhibited MAT2A enzymatic activity, resulting in the reduction of intracellular SAM level, the direct product of MAT2A. These compounds showed highly potent inhibition of SDMA and cell proliferation in MTAP-deleted cells, while displaying minimal effect on MTAP-WT cells, showing >100-fold selectivity towards MTAP-deletion over MTAP-WT. Furthermore, anti-proliferative activity of MAT2A inhibitors were observed in MTAP-deleted cancer cells across various cancer types, including GBM, breast cancer, and non-small cell lung cancer. Remarkably, mouse pharmacokinetic study revealed high level of plasma and brain exposure with outstanding brain-to-plasma ratio (> 0.75). Robust tumor growth inhibition as well as reduction in tumor SAM levels were observed as monotherapy in an MTAP-deleted HCT116 xenograft model. Conclusion: We have identified novel brain-penetrating MAT2A inhibitors displaying encouraging in vitro and in vivo pharmacological profiles, indicating the potential use of these compounds as therapeutic agents for MTAP deleted brain metastatic cancer and GBM. Citation Format: Soyoung Ki, Jinhee Kim, Jungtae Na, Ilkyoo Koh, Hyunho Cho, Ho Yeon Lee, Hoiyun Jung, Gyeonghi Cho, Mijin Moon, Yongje Shin, Sook-Kyung Park. Developing brain-penetrating MAT2A inhibitors for MTAP-deleted brain metastatic cancer and GBM [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 3227.

Establishment of a Novel Anti-Mouse CCR1 Monoclonal Antibody C1Mab-6.

C-C motif chemokine receptor 1 (CCR1/CD191) is a member of G-protein-coupled receptors and is expressed on myeloid cells, such as neutrophils and macrophages. Because the CCR1 signaling promotes tumor expansion in the tumor microenvironment (TME), the modification of TME is an effective strategy for cancer therapy. Although CCR1 is an attractive target for solid tumors and hematological malignancies, therapeutic agents for CCR1 have not been approved. Here, we established a novel anti-mouse CCR1 (mCCR1) monoclonal antibody (mAb), C1Mab-6 (rat IgG2b, kappa), using the Cell-Based Immunization and Screening method. Flow cytometry and Western blot analyses showed that C1Mab-6 recognizes mCCR1 specifically. The dissociation constant of C1Mab-6 for mCCR1-overexpressed Chinese hamster ovary-K1 was determined as 3.9 × 10-9 M, indicating that C1Mab-6 possesses a high affinity to mCCR1. These results suggest that C1Mab-6 could be a useful tool for targeting mCCR1 in preclinical mouse models.

FAM83D acts as an oncogene by regulating cell cycle progression via multiple pathways in synovial sarcoma: a potential novel downstream target oncogene of anlotinib

ObjectiveSynovial Sarcoma (SS), a highly malignant mesenchymal neoplasm, typically carries a grim prognosis for patients presenting with high-grade or metastatic disease. Although Anlotinib, a new agent for treating soft tissue sarcomas, holds promise, its underlying mechanism remains incompletely understood. This investigation aims to delineate Anlotinib’s anticancer effectiveness and potential mechanistic underpinnings in patients suffering from advanced, refractory SS.Materials and methodsEmploying microarray assay, we examined the potential downstream targets of Anlotinib in SS therapy. A shRNA-based high-content screening was performed to identify candidate genes with the greatest influence on SW982 cell proliferation. The knockdown efficacy of selected genes within SW982 cells was confirmed using RT-qPCR as well as western blot analysis. To assess the effect of putative downstream elimination of genes with synovial sarcoma cells, cell proliferation, and apoptotic assays were carried out. Gene chip microarray as well as bioinformatics techniques were utilized to scrutinize potential signaling networks associated with the candidate downstream gene.ResultsQPCR verified high expression of FAM83D in SW982 cells, shRNA was designed to silence FAM83D by lentivirus transfection, apoptosis assay, and cell cycle arrest showing that FAM83D downregulation augments apoptosis in SW982 cells and arrests cell cycle progression in the S stage. Inhibition of FAM83D expression upregulated STAT1 while downregulated BIRC5, MCM2, and CDK1 genes in vitro.ConclusionsThis experimental study identified FAM83D as a critical regulator that contributes to the proliferation and progression of SS, suggesting that FAM83D-regulated signaling pathway may serve as a prospective target in SS management.

Epitope Mapping of an Anti-Mouse CD39 Monoclonal Antibody Using PA Scanning and RIEDL Scanning.

A cell-surface ectonucleotidase CD39 mediates the conversion of extracellular adenosine triphosphate into immunosuppressive adenosine with another ectonucleotidase CD73. The elevated adenosine in the tumor microenvironment attenuates antitumor immunity, which promotes tumor cell immunologic escape and progression. Anti-CD39 monoclonal antibodies (mAbs), which suppress the enzymatic activity, can be applied to antitumor therapy. Therefore, an understanding of the relationship between the inhibitory activity and epitope of mAbs is important. We previously established an anti-mouse CD39 (anti-mCD39) mAb, C39Mab-1 using the Cell-Based Immunization and Screening method. In this study, we determined the critical epitope of C39Mab-1 using flow cytometry. We performed the PA tag (12 amino acids [aa])-substituted analysis (named PA scanning) and RIEDL tag (5 aa)-substituted analysis (named RIEDL scanning) to determine the critical epitope of C39Mab-1 using flow cytometry. By the combination of PA scanning and RIEDL scanning, we identified the conformational epitope, spanning three segments of 275-279, 282-291, and 306-323 aa of mCD39. These analyses would contribute to the identification of the conformational epitope of membrane proteins.

Cx3Mab-4: A Novel Anti-Mouse CXCR3 Monoclonal Antibody for Flow Cytometry.

C-X-C motif chemokine receptor 3 (CXCR3, CD183) is a G-protein-coupled receptor for CXCL9, CXCL10, and CXCL11. CXCR3 induces chemotaxis of immune cells and promotes inflammation. Various mouse models have been developed to mimic the pathogenesis of diseases and used in the evaluation of therapeutics for these diseases. Although CXCR3 is an attractive target to suppress inflammation, anti-CXCR3 therapeutic agents have not been approved. In this study, we established a novel anti-mouse CXCR3 (mCXCR3) monoclonal antibody, Cx3Mab-4 (rat IgG1, kappa), using the Cell-Based Immunization and Screening method. Flow cytometric analysis demonstrated that Cx3Mab-4 bound to mCXCR3-overexpressed Chinese hamster ovary-K1 (CHO/mCXCR3) cells, but did not react to parental CHO-K1 cells. The dissociation constant of Cx3Mab-4 was determined as 1.3 × 10-9 M, indicating that Cx3Mab-4 possesses a high affinity to mCXCR3-expressing cells. Cx3Mab-4 could be useful for targeting CXCR3-expressing cells in preclinical mouse models.

Rapid Visual Screening Feature Importance for Seismic Vulnerability Ranking via Machine Learning and SHAP Values

Structures inevitably suffer damage after an earthquake, with severity ranging from minimal damage of nonstructural elements to partial or even total collapse, possibly with loss of human lives. Thus, it is essential for engineers to understand the crucial factors that drive a structure towards suffering higher degrees of damage in order for preventative measures to be taken. In the present study, we focus on three well-known damage thresholds: the Collapse Limit State, Ultimate Limit State, and Serviceability Limit State. We analyze the features obtained via Rapid Visual Screening to determine whether or not a given structure crosses these thresholds. To this end, we use machine learning to perform binary classification for each damage threshold, and use explainability to quantify the effect of each parameter via SHAP values (SHapley Additive exPlanations). The quantitative results that we obtain demonstrate the potential applicability of ML methods for recalibrating the computation of structural vulnerability indices using data from recent earthquakes.

Mesoporous Silica Nanoparticles-Enhanced Microarray Technology for Highly Sensitive Simultaneous Detection of Multiplex Foodborne Pathogens.

Ensuring food safety is paramount for the food industry and global health concerns. In this study, we have developed a method for the detection of prevalent foodborne pathogenic bacteria, including Escherichia coli, Salmonella spp., Listeria spp., Shigella spp., Campylobacter spp., Clostridium spp., and Vibrio spp., utilizing antibody-aptamer arrays. To enhance the fluorescence signals on the microarray, the mesoporous silica nanoparticles (MSNs) conjugated with fluorescein, streptavidin, and seven detection antibodies-biotin were employed, forming fluorescein doped mesoporous silica nanoparticles conjugated with detection antibodies (MSNs-Flu-SA-Abs) complexes. The array pattern was designed for easy readability and enabled the simultaneous detection of all seven foodborne pathogens, referred to as the 7FP-biochip. Following the optimization of MSNs-Flu-SA-Abs complexes attachment and enhancement of the detection signal in fluorescent immunoassays, a high level of sensitivity was achieved. The detection limits for the seven pathogens in both buffer and food samples were 102 CFU/mL through visual screening, with fluorescent intensity quantification achieving levels as low as 20-34 CFU/g were achieved on the antibody-aptamer arrays. Our antibody-aptamer array offers several advantages, including significantly reduced nonspecific binding with no cross-reaction between bacteria. Importantly, our platform detection exhibited no cross-reactivity among the tested bacteria in this study. The multiplex detection of foodborne pathogens in canned tuna samples with spiked bacteria was successfully demonstrated in real food measurements. In conclusion, our study presents a promising method for detecting multiple foodborne pathogens simultaneously. With its high sensitivity and specificity, the developed antibody-aptamer array holds great potential for enhancing food safety and public health.

Investigation of Color Vision and Contrast Sensitivity Defects in Textile Industry Workers

Background: Industrial exposure to chemicals is a significant health concern, particularly within the textile industry where workers are in regular contact with potentially harmful substances. The retina, with its photoreceptor cells responsible for color vision and contrast sensitivity, is especially susceptible to damage from such exposure. Objective: This study aims to assess the impact of chemical exposure on the color vision and contrast sensitivity of workers in the Five Star Textile Industry, drawing comparisons with previous research to better understand the occupational risks and requisite protective measures. Methods: A cross-sectional, descriptive study was conducted on 100 workers with an age range of 20-50 years, examining 200 eyes. The research took place from January to June 2023, employing the Pelli-Robson chart and D-15 test for evaluating contrast sensitivity and color vision, respectively. Data were analyzed using the Pearson Chi-Square test and SPSS version 25. Results: The study found a Pearson Chi-Square value of 31.4 for color vision in the right eye and 25.7 in the left, with a significance of 0.000 for both. Contrast sensitivity tests revealed a Pearson Chi-Square value of 44.2 for both eyes, with significance remaining at 0.000, indicating a strong correlation between chemical exposure and visual impairment. Conclusion: The findings suggest a significant relationship between prolonged chemical exposure and visual function decline among textile workers, underlining the necessity for enhanced occupational health protocols and regular vision screening.

Morpholinodiazenyl chalcone blocks influenza A virus capsid uncoating by perturbing the clathrin-mediated vesicular trafficking pathway.

Influenza A virus (IAV) is a highly contagious respiratory pathogen that significantly threatens global health by causing seasonal epidemics and occasional, unpredictable pandemics. To identify new compounds with therapeutic potential against IAV, we designed and synthesized a series of 4'-morpholinodiazenyl chalcones using the molecular hybridization method, performed a high-content screen against IAV, and found that (E)-1-{4-[(E)-morpholinodiazenyl]phenyl}-3-(3,4,5-trimethoxyphenyl)prop-2-en-1-one (MC-22) completely neutralized IAV infection. While MC-22 allowed IAV to successfully internalize into the cell and fuse at the acidic late endosomes, it prevented viral capsid uncoating and genome release. Since IAV majorly utilizes clathrin-mediated endocytosis (CME) for cellular entry, we examined whether MC-22 had any effect on CME, using nonviral cargoes that enter cells via clathrin-dependent or -independent pathways. Although MC-22 showed no effect on the uptake of choleratoxin B, a cargo that enters cells majorly via the clathrin-independent pathway, it significantly attenuated the clathrin-dependent internalization of both epidermal growth factor and transferrin. Cell biological analyses revealed a marked increase in the size of early endosomes upon MC-22 treatment, indicating an endosomal trafficking/maturation defect. This study reports the identification of MC-22 as a novel CME-targeting, highly potent IAV entry inhibitor, which is expected to neutralize a broad spectrum of viruses that enter the host cells via CME.

Combined use of multiparametric high-content-screening and in vitro circadian reporter assays in neurotoxicity evaluation.

Accumulating evidence indicates that chronic circadian rhythm disruption is associated with the development of neurodegenerative diseases induced by exposure to neurotoxic chemicals. Herein, we examined the relationship between cellular circadian rhythm disruption and cytotoxicity in neural cells. Moreover, we evaluated the potential application of an in vitro cellular circadian rhythm assay in determining circadian rhythm disruption as a sensitive and early marker of neurotoxicant-induced adverse effects. To explore these objectives, we established an in vitro cellular circadian rhythm assay using human glioblastoma (U87 MG) cells stably transfected with a circadian reporter vector (PER2-dLuc) and determined the lowest-observed-adverse-effect levels (LOAELs) of several common neurotoxicants. Additionally, we determined the LOAEL of each compound on multiple cytotoxicity endpoints (nuclear size [NC], mitochondrial membrane potential [MMP], calcium ions, or lipid peroxidation) using a multiparametric high-content screening (HCS) assay using transfected U87 MG cells treated with the same neurotoxicants for 24 and 72h. Based on our findings, the LOAEL for cellular circadian rhythm disruption for most chemicals was slightly higher than that for most cytotoxicity indicators detected using HCS, and the LOAEL for MMP in the first 24h was the closest to that for cellular circadian rhythm disruption. Dietary antioxidants (methylselenocysteine and N-acetyl-l-cysteine) prevented or restored neurotoxicant-induced cellular circadian rhythm disruption. Our results suggest that cellular circadian rhythm disruption is as sensitive as cytotoxicity indicators and occurs early as much as cytotoxic events during disease development. Moreover, the in vitro cellular circadian rhythm assay warrants further evaluation as an early screening tool for neurotoxicants.

Stable knockdown of Drp1 improves retinoic acid-BDNF-induced neuronal differentiation through global transcriptomic changes and results in reduced phosphorylation of ERK1/2 independently of DUSP1 and 6.

Background: Dynamin-related protein Drp1 -a major mitochondrial fission protein- is widely distributed in the central nervous system and plays a crucial role in regulating mitochondrial dynamics, specifically mitochondrial fission and the organelle's shaping. Upregulated Drp1 function may contribute to the pathological progression of neurodegenerative diseases by dysregulating mitochondrial fission/ fusion. The study aims to investigate the effects of Drp1 on retinoic acid-BDNF-induced (RA-BDNF) neuronal differentiation and mitochondrial network reorganization in SH-SY5Y neuroblastoma cells. Methods: We generated an SH-SY5Y cell line with stably depleted Drp1 (shDrp1). We applied RNA sequencing and analysis to study changes in gene expression upon stable Drp1 knockdown. We visualized the mitochondria by transmission electron microscopy and used high-content confocal imaging to characterize and analyze cell morphology changes and mitochondrial network reorganization during neuronal differentiation. Results: shDrp1 cells exhibited fused mitochondrial ultrastructure with perinuclear clustering. Stable knockdown of Drp1 resulted in the upregulation of genes involved in nervous system development. High content analysis showed improved neurite outgrowth, segmentation, and extremities in differentiated shDrp1 cells. Neuronal differentiation was associated with a significant reduction in ERK1/2 phosphorylation, and ERK1/2 phosphorylation was independent of the dual specificity phosphatases DUSP1/6 in shDrp1 cells. Differentiated control underwent mitochondrial morphology remodeling, whereas differentiated shDrp1 cells retained the highly fused mitochondria and developed long, elongated structures. The shDrp1 cells responded to specific apoptotic stimuli like control in vitro, suggesting that Drp1 is not a prerequisite for apoptosis in SH-SY5Y cells. Moreover, Drp1 downregulation reduced the formation of toxic mHtt aggregates in vitro. Discussion: Our results indicate that Drp1 silencing enhances RA-BDNF-induced neuronal differentiation by promoting transcriptional and mitochondrial network changes in undifferentiated cells. We also demonstrate that the suppression of Drp1 reduces toxic mHtt aggregate formation in vitro, suggesting protection against neurotoxicity. Thus, Drp1 may be an attractive target for further investigation in future strategies to combat neurodegenerative diseases.

Therapeutic potential of procathepsin L-inhibiting and progesterone-entrapping dimethyl-β-cyclodextrin nanoparticles in treating experimental sepsis.

The pathogenic mechanisms of bacterial infections and resultant sepsis are partly attributed to dysregulated inflammatory responses sustained by some late-acting mediators including the procathepsin-L (pCTS-L). It was entirely unknown whether any compounds of the U.S. Drug Collection could suppress pCTS-L-induced inflammation, and pharmacologically be exploited into possible therapies. Here, we demonstrated that a macrophage cell-based screening of a U.S. Drug Collection of 1360 compounds resulted in the identification of progesterone (PRO) as an inhibitor of pCTS-L-mediated production of several chemokines [e.g., Epithelial Neutrophil-Activating Peptide (ENA-78), Monocyte Chemoattractant Protein-1 (MCP-1) or MCP-3] and cytokines [e.g., Interleukin-10 (IL-10) or Tumor Necrosis Factor (TNF)] in primary human peripheral blood mononuclear cells (PBMCs). In vivo, these PRO-entrapping 2,6-dimethal-β-cyclodextrin (DM-β-CD) nanoparticles (containing 1.35 mg/kg PRO and 14.65 mg/kg DM-β-CD) significantly increased animal survival in both male (from 30% to 70%, n = 20, P = 0.041) and female (from 50% to 80%, n = 30, P = 0.026) mice even when they were initially administered at 24h post the onset of sepsis. This protective effect was associated with a reduction of sepsis-triggered accumulation of three surrogate biomarkers [e.g., Granulocyte Colony Stimulating Factor (G-CSF) by 40%; Macrophage Inflammatory Protein-2 (MIP-2) by 45%; and Soluble Tumor Necrosis Factor Receptor I (sTNFRI) by 80%]. Surface Plasmon Resonance (SPR) analysis revealed a strong interaction between PRO and pCTS-L (KD = 78.2 ± 33.7 nM), which was paralleled with a positive correlation between serum PRO concentration and serum pCTS-L level (ρ = 0.56, P = 0.0009) or disease severity (Sequential Organ Failure Assessment, SOFA; ρ = 0.64, P = 0.0001) score in septic patients. Our observations support a promising opportunity to explore DM-β-CD nanoparticles entrapping lipophilic drugs as possible therapies for clinical sepsis.

Therapeutic Potential of Traditional Oriental Medicines in Targeting Tau Pathology: Insights from Cell-free and Cell-based Screening.

Traditional Oriental Medicines (TOMs) formulated using a variety of medicinal plants have a low risk of side effects. In previous studies, five TOMs, namely Dangguijakyaksan, Hwanglyeonhaedoktang, Ukgansan, Palmijihwanghwan, and Jowiseungchungtang have been commonly used to treat patients with Alzheimer's disease. However, only a few studies have investigated the effects of these five TOMs on tau pathology. This study aimed to examine the effect of five TOMs on various tau pathologies, including post-translational modifications, aggregation and deposition, tau-induced neurotoxicity, and tau-induced neuroinflammation. Immunocytochemistry was used to investigate the hyperphosphorylation of tau induced by okadaic acid. In addition, the thioflavin T assay was used to assess the effects of the TOMs on the inhibition of tau K18 aggregation and the dissociation of tau K18 aggregates. Moreover, a water-soluble tetrazolium-1 assay and a quantitative reverse transcription polymerase chain reaction were used to evaluate the effects of the TOMs on tau-induced neurotoxicity and inflammatory cytokines in HT22 and BV2 cells, respectively. The five TOMs investigated in this study significantly reduced okadaic acid-induced tau hyperphosphorylation. Hwanglyeonhaedoktang inhibited the aggregation of tau and promoted the dissociation of tau aggregates. Dangguijakyaksan and Hwanglyeonhaedoktang attenuated tau-induced neurotoxicity in HT22 cells. In addition, Dangguijakyaksan, Hwanglyeonhaedoktang, Ukgansan, and Palmijihwanghwan reduced tauinduced pro-inflammatory cytokine levels in BV2 cells. Our results suggest that five TOMs are potential therapeutic candidates for tau pathology. In particular, Hwanglyeonhaedoktang showed the greatest efficacy among the five TOMs in cell-free and cell-based screening approaches. These findings suggest that Hwanglyeonhaedoktang is suitable for treating AD patients with tau pathology.

High-content analysis identified synergistic drug interactions between INK128, an mTOR inhibitor, and HDAC inhibitors in a non-small cell lung cancer cell line

BackgroundThe development of drug resistance is a major cause of cancer therapy failures. To inhibit drug resistance, multiple drugs are often treated together as a combinatorial therapy. In particular, synergistic drug combinations, which kill cancer cells at a lower concentration, guarantee a better prognosis and fewer side effects in cancer patients. Many studies have sought out synergistic combinations by small-scale function-based targeted growth assays or large-scale nontargeted growth assays, but their discoveries are always challenging due to technical problems such as a large number of possible test combinations.MethodsTo address this issue, we carried out a medium-scale optical drug synergy screening in a non-small cell lung cancer cell line and further investigated individual drug interactions in combination drug responses by high-content image analysis. Optical high-content analysis of cellular responses has recently attracted much interest in the field of drug discovery, functional genomics, and toxicology. Here, we adopted a similar approach to study combinatorial drug responses.ResultsBy examining all possible combinations of 12 drug compounds in 6 different drug classes, such as mTOR inhibitors, HDAC inhibitors, HSP90 inhibitors, MT inhibitors, DNA inhibitors, and proteasome inhibitors, we successfully identified synergism between INK128, an mTOR inhibitor, and HDAC inhibitors, which has also been reported elsewhere. Our high-content analysis further showed that HDAC inhibitors, HSP90 inhibitors, and proteasome inhibitors played a dominant role in combinatorial drug responses when they were mixed with MT inhibitors, DNA inhibitors, or mTOR inhibitors, suggesting that recessive drugs could be less prioritized as components of multidrug cocktails.ConclusionsIn conclusion, our optical drug screening platform efficiently identified synergistic drug combinations in a non-small cell lung cancer cell line, and our high-content analysis further revealed how individual drugs in the drug mix interact with each other to generate combinatorial drug response.

Decoding phenotypic screening: A comparative analysis of image representations

Biomedical imaging techniques such as high content screening (HCS) are valuable for drug discovery, but high costs limit their use to pharmaceutical companies. To address this issue, The JUMP-CP consortium released a massive open image dataset of chemical and genetic perturbations, providing a valuable resource for deep learning research. In this work, we aim to utilize the JUMP-CP dataset to develop a universal representation model for HCS data, mainly data generated using U2OS cells and CellPainting protocol, using supervised and self-supervised learning approaches. We propose an evaluation protocol that assesses their performance on mode of action and property prediction tasks using a popular phenotypic screening dataset. Results show that the self-supervised approach that uses data from multiple consortium partners provides representation that is more robust to batch effects whilst simultaneously achieving performance on par with standard approaches. Together with other conclusions, it provides recommendations on the training strategy of a representation model for HCS images.