Toxicity Screening Research Articles

Tracking Dynamic Chemical Reactivity Networks with High-Resolution Mass Spectrometry: A Case of Microplastic-Derived Dissolved Organic Carbon.

Chemical degradation testing often involves monitoring the loss of a chemical or the evolution of a single diagnostic product through time. Here, we demonstrate a novel approach to tracing complex degradation networks using mass-spectrometry-based methods and open cheminformatics tools. Ester- and ether-based thermoplastic polyurethane (TPU_Ester and TPU_Ether) microplastics (350 μm) and microplastics-derived dissolved organic carbon (MP-DOC) were photoweathered in a simulated marine environment and subsequently analyzed by liquid chromatography coupled to high-resolution mass spectrometry. We formula-annotated 1342 and 2344 unique features in the MP-DOC of TPU_Ester and TPU_Ether, respectively. From these, we extracted 199 and 568 plausible parent-transformation product pairs via matching of features (a) with complementary increasing and decreasing trends (Spearman's correlation coefficient between normalized intensity and time), (b) spectral similarities of at least three accurate mass MS2 fragments, and (c) at least 3 ppm agreement between the theoretical and measured change in m/z between the parent-transformation product formula. Molecular network analysis revealed that both chain scission and cross-linking reactions occur dynamically rather than degradation proceeding in a monotonic progression to smaller or more oxygenated structures. Network nodes with the highest degree of centrality were tentatively identified using in silico fragmentation and can be prioritized for toxicity screening or other physicochemical properties of interest. This work has important implications for chemical transformation tracking in complex mixtures and may someday enable improved elucidation of environmental transformation rules (i.e., structure-reactivity relationships) and fate modeling.

Identification of inhibitors from a functional food-based plant Perillae Folium against hyperuricemia via metabolomics profiling, network pharmacology and all-atom molecular dynamics simulations.

Hyperuricemia (HUA) is a metabolic disorder caused by purine metabolism dysfunction in which the increasing purine levels can be partially attributed to seafood consumption. Perillae Folium (PF), a widely used plant in functional food, has been historically used to mitigate seafood-induced diseases. However, its efficacy against HUA and the underlying mechanism remain unclear. A network pharmacology analysis was performed to identify candidate targets and potential mechanisms involved in PF treating HUA. The candidate targets were determined based on TCMSP, SwissTargetPrediction, Open Targets Platform, GeneCards, Comparative Toxicogenomics Database, and DrugBank. The potential mechanisms were predicted via Gene Ontology (GO) and Kyoto Gene and Genome Encyclopedia (KEGG) analyses. Molecular docking in AutoDock Vina and PyRx were performed to predict the binding affinity and pose between herbal compounds and HUA-related targets. A chemical structure analysis of PF compounds was performed using OSIRIS DataWarrior and ClassyFire. We then conducted virtual pharmacokinetic and toxicity screening to filter potential inhibitors. We further performed verifications of these inhibitors' roles in HUA through molecular dynamics (MD) simulations, text-mining, and untargeted metabolomics analysis. We obtained 8200 predicted binding results between 328 herbal compounds and 25 potential targets, and xanthine dehydrogenase (XDH) exhibited the highest average binding affinity. We screened out five promising ligands (scutellarein, benzyl alpha-D-mannopyranoside, elemol, diisobutyl phthalate, and (3R)-hydroxy-beta-ionone) and performed MD simulations up to 50 ns for XDH complexed to them. The scutellarein-XDH complex exhibited the most satisfactory stability. Furthermore, the text-mining study provided laboratory evidence of scutellarein's function. The metabolomics approach identified 543 compounds and confirmed the presence of scutellarein. Extending MD simulations to 200 ns further indicated the sustained impact of scutellarein on XDH structure. Our study provides a computational and biomedical basis for PF treating HUA and fully elucidates scutellarein's great potential as an XDH inhibitor at the molecular level, holding promise for future drug design and development.

Lay healthcare worker financial toxicity intervention: a pilot financial toxicity screening and referral program.

Financial toxicity is a source of significant distress for patients with urologic cancers, yet few studies have addressed financial burden in this patient population. We developed a financial toxicity screening program using a lay health worker (LHW) and social worker (SW) to assess and mitigate financial toxicity in a single academic medical clinic. As part of a quality improvement project, the LHW screened all newly diagnosed patients with advanced stages of prostate, kidney, or urothelial cancer for financial burden using three COST tool questions and referred patients who had significant financial burden to an SW who provided personalized recommendations. The primary outcome was feasibility defined as 80% of patients with financial burden completing the SW consult. Secondary outcomes were patient satisfaction, change in COST Tool responses, and qualitative assessment of financial resources utilized. The LHW screened a total of 185 patients for financial toxicity; 82% (n = 152) were male, 65% (n = 120) White, and 75% (n = 139) reported annual household income >$100,000 US Dollars; 60% (n = 114) had prostate cancer. A total of 18 (9.7%) participants screened positive for significant financial burden and were referred to the SW for consultation. All participants (100%) completed and reported satisfaction with the SW consultation and had 0.83 mean lower scores on the COST Tool post-intervention assessment compared to pre-intervention (95% confidence interval [0.26, 1.41]). This multidisciplinary financial toxicity intervention using an LHW and SW was feasible, acceptable, and associated with reduced financial burden among patients with advanced stages of urologic cancers. Future work should evaluate the effect of this intervention among cancer patients in diverse settings.

A64 HUMAN INTESINAL ORGANOIDS AS A MODEL FOR GASTROINTESTINAL FUNCTION AND TOXICITY SCREENING

Abstract Aims Drug-induced gastrointestinal (GI) toxicity is a common adverse event in clinical trials, with symptoms including diarrhea, ulceration, and inflammation resulting from impaired barrier function. Furthermore, the intestine is a key mediator of both drug absorption and metabolism. The human colon carcinoma cell line (Caco-2) is the most common model used in drug discovery, however, intestinal organoids provide a model that better recapitulates the self-renewal, cellular composition, and function of the intestinal epithelium.This study utilizes human intestinal organoids as a high-throughput model for evaluating intestinal function and toxicity in preclinical drug discovery. Methods To assess toxicity, intestinal organoids were treated with two GI-toxic drugs, gefitinib and colchicine, and post-treatment cell viability was compared to Caco-2 control cultures. To assess barrier function, organoid-derived monolayers cultured in Transwell® plates were treated with colchicine and sapitinib, and post-treatment permeability was evaluated using the fluorescent low-permeability markers, 4 kDa FITC-dextran and Lucifer yellow. Results Human intestinal organoid cultures exhibited 14-fold greater sensitivity to gefitinib (average organoid IC50 = 0.82 μM, n = 3; Caco-2 IC50 =11.4 μM, n = 2) and 2,238 times greater sensitivity to colchicine (average organoid IC50 = 0.028 μM, n = 3; Caco-2 IC50 = 62.89 μM, n = 6) compared to Caco-2 controls. This 96-well assay was reproducible, producing comparable IC50 concentrations in repeated experiments with cells from the same and different donors (n = 3 donors). Organoid-derived monolayers exhibited ampersand:003E 10-fold (n = 3) increase in permeability to both sapitinib and colchicine compared to Caco-2 cultures, which displayed minimal responses to either drug treatment. Finally, organoid-derived monolayer cultures in transwell® plates can be utilized to quantify drug transport and metabolism by the intestinal epithelium. Using ileal organoid-derived monolayers and Caco-2 cultures, we quantified the active transport of methotrexate by the efflux transporter BCRP, calculating an efflux ratio of 11.46 from the basal to apical chambers. We also quantified CYP3A4 activity of ileal monolayers relative to Caco-2 cultures. Ileal monolayers converted midazolam to hydroxymidazolam ampersand:003E 50-fold (n = 2) more than Caco-2 cultures, which displayed minimal CYP3A4 activity below the limit of detection. Together, these data demonstrate that human intestinal organoids are a valuable tool for high-throughput GI toxicity screening and for evaluating intestinal function in preclinical drug discovery. Conclusions Together, these data demonstrate that human intestinal organoids are a valuable tool for high-throughput GI toxicity screening and for evaluating intestinal function in preclinical drug discovery. Funding Agencies None

In Vitro Toxicity Screening of Fifty Complex Mixtures in HepG2 Cells.

To develop the risk prediction technology for mixture toxicity, a reliable and extensive dataset of experimental results is required. However, most published literature only provides data on combinations containing two or three substances, resulting in a limited dataset for predicting the toxicity of complex mixtures. Complex mixtures may have different mode of actions (MoAs) due to their varied composition, posing difficulty in the prediction using conventional toxicity prediction models, such as the concentration addition (CA) and independent action (IA) models. The aim of this study was to generate an experimental dataset comprising complex mixtures. To identify the target complex mixtures, we referred to the findings of the HBM4EU project. We identified three groups of seven to ten components that were commonly detected together in human bodies, namely environmental phenols, perfluorinated compounds, and heavy metal compounds, assuming these chemicals to have different MoAs. In addition, a separate mixture was added consisting of seven organophosphate flame retardants (OPFRs), which may have similar chemical structures. All target substances were tested for cytotoxicity using HepG2 cell lines, and subsequently 50 different complex mixtures were randomly generated with equitoxic mixtures of EC10 levels. To determine the interaction effect, we calculated the model deviation ratio (MDR) by comparing the observed EC10 with the predicted EC10 from the CA model, then categorized three types of interactions: antagonism, additivity, and synergism. Dose-response curves and EC values were calculated for all complex mixtures. Out of 50 mixtures, none demonstrated synergism, while six mixtures exhibited an antagonistic effect. The remaining mixtures exhibited additivity with MDRs ranging from 0.50 to 1.34. Our experimental data have been formatted to and constructed for the database. They will be utilized for further research aimed at developing the combined CA/IA approaches to support mixture risk assessment.

A Financial Toxicity Screening and Care Coordination Quality Improvement Program in a Gynecology Oncology Urban Practice.

Educating a multidisciplinary team on financial toxicity (FT) risk, screening, and care coordination is an approach to addressing gaps in care among newly diagnosed patients with stage III or IV cancer. The goal of this quality improvement project (QIP) was to supply an education program for the multidisciplinary team providing insights for the following objectives: (1) Increase the rate of FT screening where there was no baseline screening, (2) Increase referrals for resource care coordination among patients experiencing FT, and (3) Evaluate the relationship between FT and selected demographic identifiers during the 8-week project. The Plan-Do-Study-Act (PDSA) model was adopted for learning and leading the change during the QIP, focusing on the COmprehensive Score for financial Toxicity (COST) and resource care coordination for newly diagnosed participants with stage III or IV gynecologic cancer. Of the 42 (80.75%) participants consenting to the QIP, 61.90% had COST scores below 23, with 100% (26) of the participants receiving referrals for resource care coordination. On average, 6.50 patients enter the practice for care, with 50% (3.25) reporting FT. At this rate, 162.50 patients were experiencing FT in a 50-week year and were not receiving resource care coordination. However, because some patients did not consent to the QIP, the average FT (Yes) count could potentially be between 199.50 to 225.00 patients in a 50-week year, leading to a potential 62.50 with FT (or 28% of 225.00) not receiving referrals. Age was the main driver for FT COST Score in this QIP. Many variables were unobserved in this QIP and could impact the FT COST Score. However, separate modeling reveals that age alone explains approximately 15% of FT COST scores' observed changes. Controlling for more variables may refine the model, but it seems unlikely by the data analysis that age would disappear as a driver of change in the FT COST score. Developing a multidisciplinary education program focusing on a structured QIP-PDSA plan can be an example of standardizing an FT screening and care coordination program. The QIP team successfully incorporated a PDSA model roadmap screening program to identify the participants experiencing FT and promptly referred 100% for resource care coordination.

Anti-SARS-CoV-2 Activity and Acute Toxicity Screening of Annona muricata and Artemisia annua Leaf Extracts

Anti-SARS-CoV-2 Activity and Acute Toxicity Screening of Annona muricata and Artemisia annua Leaf Extracts

Topical antifungal keratitis therapeutic potential of Clitoria ternatea Linn. flower extract: phytochemical profiling, in silico modelling, and in vitro biological activity assessment.

Fungal keratitis (FK) poses a severe threat to vision, potentially leading to blindness if not promptly addressed. Clitoria ternatea flower extracts have a history of use in Ayurvedic and Indian traditional medicines, particularly for treating eye ailments. This study investigates the antifungal and antibiofilm effects of Clitoria ternatea flower extracts on the FK clinical isolate Coniochaeta hoffmannii. Structural details and key compound identification were analysed through FTIR and GC-MS. The minimum inhibitory concentration (MIC) and minimum fungicidal concentration (MFC) of Clitoria ternatea flower extracts were determined using broth dilution and well plate techniques. Biofilm inhibitory activity was assessed through microscopic evaluation, while anti-irritant and cytotoxic properties were evaluated using CAE-EI and MTT assays. Through GC-MS and FT-IR analysis the compounds dissolved in the extract and their functional group were studied, and their toxicity screening and pharmacokinetic prediction were conducted in silico. Subsequently, compounds with high corneal permeability were further identified, and molecular docking and simulation studies at 150 ns were used to investigate their interactions with fungal virulence factors and human inflammatory proteins. At a concentration of 250 µg/mL, the Clitoria ternatea flower extract displayed effective biofilm inhibition. MIC and MFC values were determined as 500 and 1000 µg/mL, respectively. CAE-EI and MTT assays indicated no significant irritant and cytotoxic effects up to a concentration of 3 mg/mL. Compounds like 9,9-dimethoxybicyclo[3.3.1]nonane-2,4-dione showed high corneal permeability with strong and stable interactions with fungal virulence cellobiose dehydrogenase, endo β 1,4 xylanase, and glucanase, as well as corneal inflammation-associated human TNF-α and Interleukin IL-1b protein targets. The findings indicate that extracts from C. ternatea flowers could be formulated for an effective and safe alternative for developing new topical FK therapeutics.

Human Pluripotent Stem Cell-Derived Retinal Organoids: A Viable Platform for Investigating the Efficacy of Adeno-Associated Virus Gene Therapy.

With recent advances in adeno-associated virus (AAV)-based gene therapy, efficacy and toxicity screening have become essential for developing gene therapeutic drugs for retinal diseases. Retinal organoids from human pluripotent stem cells (hPSCs) offer a more accessible and reproducible human test platform for evaluating AAV-based gene therapy. In this study, hPSCs were differentiated into retinal organoids composed of various types of retinal cells. The transduction efficiencies of AAV2 and AAV8, which are widely used in clinical trials of inherited retinal diseases, were analyzed using retinal organoids. These results suggest that retinal organoids derived from hPSCs serve as suitable screening platforms owing to their diverse retinal cell types and similarity to the human retina. In summary, we propose an optimal stepwise protocol that includes the generation of retinal organoids and analysis of AAV transduction efficacy, providing a comprehensive approach for evaluating AAV-based gene therapy for retinal diseases.

Building a Kokumi Database and Machine Learning-Based Prediction: A Systematic Computational Study on Kokumi Analysis.

Kokumi is a subtle sensation characterized by a sense of fullness, continuity, and thickness. Traditional methods of taste discovery and analysis, including those of kokumi, have been labor-intensive and costly, thus necessitating the emergence of computational methods as critical strategies in molecular taste analysis and prediction. In this study, we undertook a comprehensive analysis, prediction, and screening of the kokumi compounds. We categorized 285 kokumi compounds from a previously unreleased kokumi database into five groups based on their molecular characteristics. Moreover, we predicted kokumi/non-kokumi and multi-flavor compositions using six structure-taste relationship models: MLP-E3FP, MLP-PLIF, MLP-RDKFP, SVM-RDKFP, RF-RDKFP, and WeaveGNN feature of Atoms and Bonds. These six predictors exhibited diverse performance levels across two different models. For kokumi/non-kokumi prediction, the WeaveGNN model showed an exceptional predictive AUC value (0.94), outperforming the other models (0.87, 0.90, 0.89, 0.92, and 0.78). For multi-flavor prediction, the MLP-E3FP model demonstrated a higher predictive AUC and MCC value (0.94 and 0.74) than the others (0.73 and 0.33; 0.92 and 0.70; 0.95 and 0.73; 0.94 and 0.64; and 0.88 and 0.69). This data highlights the model's proficiency in accurately predicting kokumi molecules. As a result, we sourced kokumi active compounds through a high-throughput screening of over 100 million molecules, further refined by toxicity and similarity screening. Lastly, we launched a web platform, KokumiPD (https://www.kokumipd.com/), offering a comprehensive kokumi database and online prediction services for users.

High-Voltage Electrostatic Field Hydrogel Microsphere 3D Culture System Improves Viability and Liver-like Properties of HepG2 Cells.

Three-dimensional (3D) hepatocyte models have become a research hotspot for evaluating drug metabolism and hepatotoxicity. Compared to two-dimensional (2D) cultures, 3D cultures are better at mimicking the morphology and microenvironment of hepatocytes in vivo. However, commonly used 3D culture techniques are not suitable for high-throughput drug screening (HTS) due to their high cost, complex handling, and inability to simulate cell-extracellular matrix (ECM) interactions. This article describes a method for rapid and reproducible 3D cell cultures with ECM-cell interactions based on 3D culture instrumentation to provide more efficient HTS. We developed a microsphere preparation based on a high-voltage electrostatic (HVE) field and used sodium alginate- and collagen-based hydrogels as scaffolds for 3D cultures of HepG2 cells. The microsphere-generating device enables the rapid and reproducible preparation of bioactive hydrogel microspheres. This 3D culture system exhibited better cell viability, heterogeneity, and drug-metabolizing activity than 2D and other 3D culture models, and the long-term culture characteristics of this system make it suitable for predicting long-term liver toxicity. This system improves the overall applicability of HepG2 spheroids in safety assessment studies, and this simple and controllable high-throughput-compatible method shows potential for use in drug toxicity screening assays and mechanistic studies.

Toxicity Evaluation of Anti-cholinesterasic Amphibian Extracts by MTT and an Optimized Artemia salina Test.

The amphibian skin is an important source of bioactive compounds. Recently, our workgroup reported the bioactivity of new extracts from the Hylidae, Microhylidae and Leptodactylidae families against several pathways involved in Alzheimer's disease. However, since cytotoxicity can be a limiting factor for their applicability, we evaluated the toxicity of nine amphibian skin extracts with reported anticholinesterase activity, using the traditional MTT assay and an optimized Artemia salina test. The proposed improvement, guided by experimental design, aims to reduce the amount of biological sample needed. Overall, we proved that the active extracts were non-toxic at effective concentration against cholinesterases (AChE/BChE), positioning the amphibian skin as a promising and preliminary safe source of bioactive compounds in the anti-Alzheimer's treatment. Interestingly, we demonstrated that both toxicity assays can discriminate between toxic and non-toxic samples. We propose the A. salina bioassay as a reliable and cost-effective alternative for early toxicity screening.

Assessment of osteopontin as an early nephrotoxicity indicator in human renal proximal tubule cells and its application in evaluating lanthanum-induced nephrotoxicity

Nephrotoxicity is a common adverse effect induced by various chemicals, necessitating the development of reliable toxicity screening models for nephrotoxicity assessment. In this study, we assessed a group of nephrotoxicity indicators derived from different toxicity pathways, including conventional endpoints and kidney tubular injury biomarkers such as clusterin (CLU), kidney injury molecule-I (KIM-1), osteopontin (OPN), and neutrophil gelatinase-associated lipocalin (NGAL), using HK-2 and induced pluripotent stem cells (iPSCs)-derived renal proximal tubular epithelial-like cells (PTLs). Among the biomarkers tested, OPN emerged as the most discerning and precise marker. The predictive potential of OPN was tested using a panel of 10 nephrotoxic and 5 non-nephrotoxic compounds. The results demonstrated that combining OPN with the half-maximal inhibitory concentration (IC50) enhanced the diagnostic accuracy in both cellular models. Additionally, PTLs cells showed superior predictive efficacy for nephrotoxicity compared to HK-2 cells in this investigation. The two cellular models were utilized to evaluate the nephrotoxicity of lanthanum. The findings indicated that lanthanum possesses nephrotoxic properties; however, the degree of nephrotoxicity was relatively low, consistent with the outcomes of in vivo experiments.

Anti-Candida activity and in vitro toxicity screening of antifungals complexed with β-cyclodextrin.

The emergence of resistant fungal species and the toxicity of currently available antifungal drugs are relevant issues that require special consideration. Cyclodextrins inclusion complexes could optimize the antimicrobial activity of such drugs and create a controlled release system with few side effects. This study aimed to assess the in vitro toxicity and antifungal effectiveness of nystatin (Nys) and chlorhexidine (Chx) complexed or not with β-cyclodextrin (βCD). First, a drug toxicity screening was performed through the Artemia salina bioassay. Then, the minimum inhibitory concentrations (MICs) against Candida albicans were determined with the broth microdilution test. After MICs determination, the cytotoxicity of the drugs was evaluated through the methyl-thiazolyl-tetrazolium (MTT) and neutral red (NR) assays and through cell morphology analysis. The PROBIT analysis was used to determine the median lethal concentration (LC50), and the cell viability values were submitted to one-way analysis of variance(ANOVA)/Tukey (α = 0.05). Overall, the βCD-complexed antifungals were less toxic against A.salina than their raw forms, suggesting that inclusion complexes can reduce the toxicity of drugs. The MICs obtained were as follows: Nys 0.5mg/L; Nys:βCD 4mg/L; Chx 4mg/L; and Chx:βCD 8mg/L. Chx showed significant cytotoxicity (MTT: 12.9 ± 9.6%; NR: 10.6 ± 12.5%) and promoted important morphological changes. Cells exposed to the other drugs showed viability above 70% with no cellular damage. These results suggest that antifungals complexed with βCD might be a biocompatible option for the treatment of Candida-related infections.

Predictive value of the ToxCast/Tox21 high throughput toxicity screening data for approximating in vivo ecotoxicity endpoints and ecotoxicological risk in eco- surveillance applications

Ecotoxicology has long relied on assessing the hazard potential of chemicals through traditional in vivo testing methods to understand the possible risk exposure could pose to ecological taxa. In the past decade, the development of non-animal new approach methods (NAMs) for assessing chemical hazard and risk has quickly grown. These methods are often cheaper and faster than traditional toxicity testing, and thus are amenable to high-throughput toxicity testing (HTT), resulting in large datasets. The ToxCast/Tox21 HTT programs have produced in vitro data for thousands of chemicals covering a large space of biological activity. The relevance of these data to in vivo mammalian toxicity has been much explored. Interest has also grown in using these data to evaluate the risk of environmental exposures to taxa of ecological importance such as fish, aquatic invertebrates, etc.; particularly for the purpose of estimating the risk of exposure from real-world complex mixtures. Understanding the relationship and relative sensitivity of NAMs versus standardized ecotoxicological whole organism models is a key component of performing reliable read-across from mammalian in vitro data to ecotoxicological in vivo data. In this work, we explore the relationship between in vivo ecotoxicity data from several publicly available databases and the ToxCast/Tox21 data. We also performed several case studies in which we compare how using different ecotoxicity datasets, whether traditional or ToxCast-based, affects risk conclusions based on exposure to complex mixtures derived from existing large-scale chemical monitoring data. Generally, predictive value of ToxCast data for traditional in vivo endpoints (EPs) was poor (r ≤ 0.3). Risk conclusions, including identification of different chemical risk drivers and prioritized monitoring sites, were different when using HTT data vs. traditional in vivo data.

Screening of phytoconstituents from Bacopa monnieri (L.) Pennell and Mucuna pruriens (L.) DC. to identify potential inhibitors against Cerebroside sulfotransferase.

Cerebroside sulfotransferase (CST) is considered a target protein in developing substrate reduction therapy for metachromatic leukodystrophy. This study employed a multistep virtual screening approach for getting a specific and potent inhibitor against CST from 35 phytoconstituents of Bacopa monnieri (L.) Pennell and 31 phytoconstituents of Mucuna pruriens (L.) DC. from the IMPPAT 2.0 database. Using a binding score cutoff of -8.0 kcal/mol with ADME and toxicity screening, four phytoconstituents IMPHY009537 (Stigmastenol), IMPHY004141 (alpha-Amyrenyl acetate), IMPHY014836 (beta-Sitosterol), and IMPHY001534 (jujubogenin) were considered for in-depth analysis. In the binding pocket of CST, the major amino acid residues that decide the orientation and interaction of compounds are Lys85, His84, His141, Phe170, Tyr176, and Phe177. The molecular dynamics simulation with a 100ns time span further validated the stability and rigidity of the docked complexes of the four hits by exploring the structural deviation and compactness, hydrogen bond interaction, solvent accessible surface area, principal component analysis, and free energy landscape analysis. Stigmastenol from Bacopa monnieri with no potential cross targets was found to be the most potent and selective CST inhibitor followed by alpha-Amyrenyl acetate from Mucuna pruriens as the second-best performing inhibitor against CST. Our computational drug screening approach may contribute to the development of oral drugs against metachromatic leukodystrophy.

Investigating the Potency of Erythrina‒Derived Flavonoids as Cholinesterase Inhibitors and Free Radical Scavengers Through in silico Approach: Implications for Alzheimer's Disease Therapy.

This study aimed to evaluate the potency of 471 flavonoids from the genus Erythrina as potential acetylcholinesterase (AChE) inhibitors and free radical scavengers through computational studies to develop Alzheimer's disease (AD) therapies from natural products. A total of 471 flavonoids from the genus Erythrina were subjected to molecular docking against AChE, followed by toxicity screening. The potential AChE inhibitors with the least toxic profile were subjected to further investigation through molecular dynamics (MD) simulations, density functional theory (DFT) study, and in silico pharmacokinetic predictions. A combination of molecular docking and in silico toxicity screening led to the identification of 2(S)‒5,7‒dihydroxy‒5'‒methoxy‒[2'',2''‒(3''‒hydroxy)‒dimethylpyrano]‒(5'',6'':3',4') flavanone (89) and Abyssinoflavanone IV (83) as potential AChE inhibitors. These compounds had stable binding to AchE and exhibited lower Root Mean Square Deviation (RMSD) values compared to the apo state of AChE. In addition, Molecular Mechanics Generalized Born Surface Area (MMGBSA) analysis revealed that the binding energies of 89 and 83 were significantly lower compared to acetylcholine, the natural substrate of AChE. Based on DFT study, these compounds exhibited a higher energy in the highest occupied molecular orbital (EHOMO) and lower electron affinity (EA) than Quercetin. This indicated that 89 and 83 could be potential radical scavengers through their electron-donating activity. Although this study primarily relied on computational methods, the results showed the dual functionality of compounds 89 and 83 as both potential AChE inhibitors and free radical scavengers. Further investigation in wet laboratory experiments is required to validate their therapeutic potential for AD.

Enriching Cardiomyocytes Derived from hiPSCs by Magnetic-Activated Cell Sorting (MACS).

Cardiomyocytes (CMs) derived from human-induced pluripotent stem cells (hiPSCs) are considered a promising platform for multiple applications, including disease modeling, regenerative medicine, screening of drug toxicity and investigation of cardiomyogenesis. Despite remarkable improvement in methodology enabling differentiation of hiPSCs into CMs, applied protocols generate heterogeneous cell populations composed of CMs along with differentiated non-cardiac cell-types and undifferentiated hiPSCs. Here we describea procedure of automated Magnetic-Activated Cell Sorting (autoMACS) for the purification of hiPSCs-derived CMs under sterile culture conditions. We illustrate that this approach led to a robust depletion of non-cardiac cells and enrichment of CMs, a result particularly crucial for hiPSC lines with poor cardiac differentiation efficiencies.

Rapid screening of toxicity to thermotolerant yeasts: inhibition of growth and fermentation by ionic liquids and zwitterions

We here established rapid screening methods for toxicity of zwitterions and investigated the toxicity to growth and fermentation.

A Brief Screening Tool for Assessment of Financial Toxicity.

To explore the utility of brief financial screening items to facilitate the implementation of routine financial toxicity screening. 50 women with breast cancer completed a one-time survey that included the Comprehensive Score for Financial Toxicity (COST): A FACIT Measure of Financial Toxicity, a visual analog scale, and a brief sociodemographic questionnaire. Survey responses were examined to assess the psychometric properties of individual COST items and the visual analog scale by calculating Cronbach's alpha and Pearson's correlation coefficients. The mean COST was 21.4, and 27 respondents met criteria for financial toxicity (a COST lower than 22). As expected, all items correlated strongly to the overall COST, but four items (items 3, 6, 8, and 10) performed strongest (r > 0.8). This study provides evidence for individual COST items to be used as brief screening items. Future research should test the utility of these items in larger sample sizes with a more diverse representation of patients by age, race, ethnicity, and tumor type and stage.