Toxicity Screening Research Articles

Systematization of a toxicity screening method based on a combination of chemical analysis and the delayed fluorescence algal growth inhibition test for use in emergency environmental surveys.

In recent years, heavy rainfall disasters linked to climate change have become more frequent, raising concerns about the release of chemicals stored in factories. Assessing chemical contamination during such emergencies therefore necessitates the development of a quick and easy method for evaluating hazardous contaminants in combination with toxicity testing. This study proposes a "toxicity screening" method that combines biological response testing and chemical analysis to systematically evaluate hazardous contaminants in emergency situations. The toxicity screening method evaluates the water quality in three steps, including water quality measurements and a delayed fluorescence (DF) assay, metal content measurements and a DF assay, and targeted screening analysis and a DF assay. The efficacy of this method was tested using industrial wastewater from 14 locations. Seven of the samples were non-toxic, while the other seven samples were toxic, displaying no observed effect concentration (NOEC) values ranging from 0.625 to 20%. Two toxic samples in the first phase possessed high total chlorine concentrations (0.4mg L-1) and conductivities (2200 mS m-1), indicating that the main sources of toxicity were residual chlorine and a high salt concentration. In the second phase, metal content analysis identified metals as the toxicity cause in four samples. In the third phase, the organic contaminants were analyzed, and tri-n-octyl phosphate (TNOP) was detected at a concentration of 0.00027mg L-1. The results of solid-phase extraction experiments and exposure tests with TNOP alone indicated that the contribution of TNOP to the toxicity was negligible and that chemicals not adsorbed on the solid-phase extraction cartridges were the cause of toxicity. The proposed method can therefore be considered effective for disaster-related water quality assessment, delivering results within 12days.

In Silico Toxicity Screening as a Tool for the Development of Sustainable Electronics, Exemplified with Organic Light‐Emitting Electrochemical Cells

AbstractElectrical and electronic equipment (EEE) have revolutionized our lives, however, their associated waste (WEEE) presents a global challenge because at this time EEE relies heavily on metals that are not commonly found in the living environment (Biosphere), which find their way into the environment during both production/disposal of EEE/WEEE. The use of organic components in EEE is increasingly common, particularly with the growing interest in flexible electronics. Here we describe an approach to device design employing in silico toxicity screening to assess the toxicity of the components chosen for use in EEE that is exemplified using inorganic and organic components known in the literature for the production of prototype organic light‐emitting electrochemical cells. This approach could easily be employed to screen a variety of components for which datasets to produce safety data sheets (SDSs) don't yet exist because they have not been produced in large scale or in a regulatory environment which necessitates this. The approach has significant potential to improve high throughput screening of components for EEE that are “safe‐by‐design”, potentially in combination with AI and ML approaches.

P05-10 Screening for Developmental and Reproductive Toxicity (DART) using a suite of in silico models contextualised on an Adverse Outcome Pathway (AOP) network

P05-10 Screening for Developmental and Reproductive Toxicity (DART) using a suite of in silico models contextualised on an Adverse Outcome Pathway (AOP) network

A local or a stranger? Comparison of autochthonous vs. allochthonous microalgae potential for bioremediation of coal mine drainage water

Coal mining endangers the environment by contaminating of soil, surface, and ground water with coal mine drainage water (CMW) polluted by heavy metals. Microalgal cultures, hyper-accumulators of heavy metals, represent a promising solution for CMW biotreatment. A bottleneck of this approach is the availability of microalgal strains that combine a large capacity for heavy metal biocapture with a high resilience to their toxic effects. Biotopes contaminated with heavy metals are frequently inhabited by microalgae evolved to be resilient to heavy metal toxicity. Therefore, the autochthonous (locally isolated) microalgal strains are a priori considered to be superior for biotreatment of heavy metal-polluted waste streams. Still, strains from biocollections combine a high pollutant resilience with other biotechnologically important traits such as high productivity, high CO2 sequestration rate etc. Moreover, the strains available “off-the-shelf” would enable rapid development of bioprocesses. Here, we compared the efficiency of CMW biotreatment with autochthonous (isolated from the coal mine drainage sump) and allochthonous microalgae (from a geographically distant phosphate-polluted site). Both autochthonous strains and allochthonous strains turned to be interchangeable under our experimental conditions. Still, the autochthonous strains showed a higher capacity for sequestration of iron, zinc, and manganese, the specific pollutants of the studied CMW. It can be important when the duration of unattended exploitation of the CMW treatment facility is a priority or spikes of the heavy metal concentration in CMW are expected. Therefore, the “off-the-shelf” strains can be a plausible solution for rapid development of CMW treatment technologies from scratch (although screening for acute toxicity of CMW is imperative). On the other hand, locally isolated strains can offer distinct advantages and should be always considered if sufficient time and other resources are available for the development of microalgae-based process for CMW treatment.

P01-39 Mitochondrial toxicity screening to support the R&D crop protection pipeline

P01-39 Mitochondrial toxicity screening to support the R&D crop protection pipeline

P22-11 An Image-based toxicity screening method: Calcein AM as an indicator of esterase activity in Daphnia magna to detect sublethal effects in vivo

P22-11 An Image-based toxicity screening method: Calcein AM as an indicator of esterase activity in Daphnia magna to detect sublethal effects in vivo

OS02-04 Using a machine learning framework to improve the efficiency of mitochondrial toxicity screening by guiding compound selection

OS02-04 Using a machine learning framework to improve the efficiency of mitochondrial toxicity screening by guiding compound selection

P01-51 Prediction of drug-induced hepatotoxicity and neurotoxicity using in vitro toxicity screening assays

P01-51 Prediction of drug-induced hepatotoxicity and neurotoxicity using in vitro toxicity screening assays

Reducing financial toxicity in bladder cancer care.

Financial toxicity is a significant concern for many individuals with bladder cancer, which is, overall, the most expensive malignancy, per patient. Financial toxicity, defined as the harmful effects of treatment costs on an individual's quality of life, is associated with worse outcomes and decreased quality of life. Awareness of the objective and subjective factors that contribute to financial toxicity, and ways to mitigate their effects on patients, is essential to reduce the burden of bladder cancer care. This commentary aims to discuss the elements contributing to financial toxicity amongst bladder cancer patients, identify at-risk populations, and review current and potential strategies for mitigating financial burden. Bladder cancer is becoming more expensive as the use of novel therapies increases. Early data suggest how some of these novel treatments or changes in treatment delivery may impact costs. Potential innovative strategies for cost reduction include blue light cystoscopy, intravesical gemcitabine-docetaxel rather than BCG for high-risk nonmuscle-invasive patients, home BCG therapy, and surveillance guideline optimization. However, there is still much work to be done on the potential impacts of these treatment on financial toxicity. While there is a paucity of data on treatment changes to reduce financial toxicity, and cost data can be hard to access, clinicians can still reduce the financial burden of cancer care. Awareness, financial toxicity screening, cost communication, and/or early referral to financial navigators or other similar resources have the potential to reduce financial burden. Despite mounting evidence, these tools/techniques are largely underutilized. Many individuals with bladder cancer face significant financial toxicity, with the potential for this to worsen in the setting of rising treatment costs. Novel diagnostic and treatment modifications may reduce financial toxicity. However, awareness, screening, cost discussions, and utilization of financial navigators are tools/techniques that are currently available and should be used to reduce financial burden.

High-Throughput Assay for Predicting Diarrhea Risk Using a 2D Human Intestinal Stem Cell-Derived Model.

Gastrointestinal toxicities (GITs) are the most prevalent adverse events (AE) reported in clinical trials, often resulting in dose-limitations that reduce drug efficacy and delay development and treatment optimization. Preclinical animal models do not accurately replicate human GI physiology, leaving few options for early detection of GI side effects prior to human studies. Development of an accurate model that predicts GIT earlier in drug discovery programs would better support successful clinical trial outcomes. Chemotherapeutics, which exhibit high rates of clinical GIT, frequently target mitotic cells. Therefore, we hypothesized that a model utilizing proliferative cell populations derived from human intestinal crypts would predict the occurrence of clinical GITs with high accuracy. Here, we describe the development of a multiparametric assay utilizing the RepliGut® Planar system, an intestinal stem cell-derived platform cultured in an accessible high throughput Transwell™ format. This assay addresses key physiological elements of GIT by assessing cell proliferation (EdU incorporation), cell abundance (DAPI quantification), and barrier function (TEER). Using this approach, we demonstrate that primary proliferative cell populations reproducibly respond to marketed chemotherapeutics at physiologic concentrations. To determine the ability of this model to predict clinical diarrhea risk, we evaluated a set of 30 drugs with known clinical diarrhea incidence in three human donors, comparing results to known plasma drug concentrations. This resulted in highly accurate predictions of diarrhea potential for each endpoint (balanced accuracy of 91% for DAPI, 90% for EdU, 88% for TEER) with minimal variation across human donors. In vitro toxicity screening using primary proliferative cells may enable improved safety evaluations, reducing the risk of AEs in clinical trials and ultimately lead to safer and more effective treatments for patients.

A hierarchical constrained density regression model for predicting cluster‐level dose‐response

AbstractWith the advent of new alternative methods for rapid toxicity screening of chemicals comes the need for new statistical methodologies which appropriately synthesize the large amount of data collected. For example, transcriptomic assays can be used to assess the impact of a chemical on thousands of genes, but current approaches to analyzing the data treat each gene separately and do not allow sharing of information among genes within pathways. Furthermore, the methods employed are fully parametric and do not account for changes in distribution shape that may occur at high exposure levels. To address the limitations of these methods, we propose Constrained Logistic Density Regression (COLDER) to model expression data from different genes simultaneously. Under COLDER, the dose‐response function for each gene is assigned a prior via a discrete logistic stick‐breaking process (LSBP) whose weights depend on gene‐level characteristics (e.g., pathway membership) and atoms consist of different dose‐response functions subject to a shape constraint that ensures biological plausibility. The posterior distribution for the benchmark dose among genes within the same pathways can be estimated directly from the model, which is another advantage over current methods. The ability of COLDER to predict gene‐level dose‐response is evaluated in a simulation study and the method is illustrated with data from a National Toxicology Program study of Aflatoxin B1.

Rapid Response of Daphnia magna Motor Behavior to Mercury Chloride Toxicity Based on Target Tracking.

A rapid and timely response to the impacts of mercury chloride, which is indispensable to the chemical industry, on aquatic organisms is of great significance. Here, we investigated whether the YOLOX (improvements to the YOLO series, forming a new high-performance detector) observation system can be used for the rapid detection of the response of Daphnia magna targets to mercury chloride stress. Thus, we used this system for the real-time tracking and observation of the multidimensional motional behavior of D. magna. The results obtained showed that the average velocity (v¯), average acceleration (a¯), and cumulative travel (L) values of D. magna exposed to mercury chloride stress changed significantly under different exposure times and concentrations. Further, we observed that v¯, a¯ and L values of D. magna could be used as indexes of toxicity response. Analysis also showed evident D. magna inhibition at exposure concentrations of 0.08 and 0.02 mg/L after exposure for 10 and 25 min, respectively. However, under 0.06 and 0.04 mg/L toxic stress, v¯ and L showed faster toxic response than a¯, and overall, v¯ was identified as the most sensitive index for the rapid detection of D. magna response to toxicity stress. Therefore, we provide a strategy for tracking the motile behavior of D. magna in response to toxic stress and lay the foundations for the comprehensive screening of toxicity in water based on motile behavior.

Mechanism of inhibition of TLR4/NFκB/NLRP3 inflammatory pathway against AD based on the network pharmacology of Erjing Pills.

Alzheimer disease is an irreversible neurodegenerative disease, and its pathogenesis involves various mechanisms such as neuroinflammation and β-amyloid deposition. Erjing Pills can inhibit neuroinflammation by inhibiting toll-like receptor 4/nuclear factor kappa-B/nucleotide-binding domain leucine-rich repeat and pyrin domain-containing protein 3; however, qualitative analysis of the material basis is lacking. Therefore, it is necessary to analyze and explore the material basis of network pharmacology research. This study employed a multifaceted approach, including drug-like screening, molecular docking, and bioinformatic analysis. Preliminary screening identified 59 drug ingredients in Erjing Pills that met the Absorption, Distribution, Metabolism, Excretion and Toxicity screening criteria. Among these, 7 ingredients, including diosgenin, exhibited superior binding properties compared with the positive drugs in molecular docking. Gene ontology annotation and pathway analysis revealed their involvement in crucial biological processes, such as hormone response, insulin resistance, and steroid hormone biosynthesis signaling pathways, which are known for their anti-inflammatory and cognitive enhancement effects. A meta-analysis of relevant literature corroborated the anti-inflammatory activities of diosgenin and 5 other ingredients. These 5 ingredients, with diosgenin as a prominent candidate, exert anti-inflammatory effects by targeting key components of the toll-like receptor 4/nuclear factor kappa-B/nucleotide-binding domain leucine-rich repeat and pyrin domain-containing protein 3 inflammatory pathway, thereby presenting potential efficacy in the treatment of Alzheimer disease.

Exploring the Sublethal Impacts of Cu and Zn on Daphnia magna: a transcriptomic perspective

Metal contamination of aquatic environments remains a major concern due to their persistence. The water flea Daphnia magna is an important model species for metal toxicity studies and water quality assessment. However, most research has focused on physiological endpoints such as mortality, growth, and reproduction in laboratory settings, as well as neglected toxicogenomic responses. Copper (Cu) and zinc (Zn) are essential trace elements that play crucial roles in many biological processes, including iron metabolism, connective tissue formation, neurotransmitter synthesis, DNA synthesis, and immune function. Excess amounts of these metals result in deviations from homeostasis and may induce toxic responses. In this study, we analyzed Daphnia magna transcriptomic responses to IC5 levels of Cu (120 µg/L) and Zn (300 µg/L) in environmental water obtained from a pristine lake with adjusted water hardness (150 mg/L CaCO3). The study was carried out to gain insights into the Cu and Zn regulated stress response mechanisms in Daphnia magna at transcriptome level. A total of 2,688 and 3,080 genes were found to be differentially expressed (DEG) between the control and Cu and the control and Zn, respectively. There were 1,793 differentially expressed genes in common for both Cu and Zn, whereas the number of unique DEGs for Cu and Zn were 895 and 1,287, respectively. Gene ontology and KEGG pathways enrichment were carried out to identify the molecular functions and biological processes affected by metal exposures. In addition to well-known biomarkers, novel targets for metal toxicity screening at the genomic level were identified.

Black Mulberries (Morus nigra L.) Modulate Oxidative Stress and Beta-Amyloid-Induced Toxicity, Becoming a Potential Neuroprotective Functional Food.

Black mulberry (Morus nigra L.) is a common edible fruit from the Moraceae family with a wide variety of nutritional and medicinal applications, mainly due to its antioxidant and anti-inflammatory properties. The purpose of this work was to investigate the cytoprotective and neuroprotective capacity of a hydrophilic black mulberry solvent-free extract rich in polyphenols, including the antioxidant, antiradical, and enzymatic mechanisms that would explain these effects. Its neuroprotective potential was evaluated in vitro using the Neuro-2a cell line and in vivo through the Caenorhabditis elegans organism model. Neuro-2a cells were treated at different concentrations of the extract (25-500 µg/mL) and hydrogen peroxide (300 µM) as an oxidant agent, simultaneously. From these treatments, redox status (intracellular ROS production) and cellular activity (MTT) were also quantified in Neuro-2a. Regarding the C. elegans assay, the protection of the extract against β-amyloid toxicity was measured against the CL4176 strain, which is a model of Alzheimer disease. As a complementary neuroprotective assay, its potential to inhibit the monoamine oxidase A (MAO-A) enzyme was measured. In addition, an Artemia salina bioassay was performed for preliminary toxicity screening. And its antioxidant properties were evaluated by means of the FRAP assay. The results confirm its neuroprotective potential and its ability to scavenge free radicals and decrease ROS production, also acting as a moderate MAO-A inhibitor. Moreover, the polyphenolic extract alleviates the toxicity induced by β-amyloid accumulation in C. elegans. Concluding, Morus nigra can be considered a functional food with bioactive compounds that may prevent the onset of neurodegenerative diseases.

The French Medicinal Chemistry Society-SCT, an Historical Member of EFMC.

The French Society of Medicinal Chemistry or " Société de Chimie Thérapeutique " (SCT) was founded in 1966. Since its inception, its mission has been to promote knowledge in the main fields of pharmaceutical research and development, in particular the research and validation of biological targets of therapeutic interest, the screening, design and optimization of drug candidates, chemical biology, medicinal chemistry, pharmacokinetics, metabolism and toxicity. Since 1964, the Society has organized an annual international congress (RICT), and later thematic days for young researchers and workshops on specific topics. The SCT is also a member of the European Federation for Medicinal Chemistry (EFMC) and organized the International Symposium on Medicinal Chemistry (ISMC) in Nice in 2022. Several new trends can be identified in the activities of the SCT, such as the organization of regular webinars, but also the recent creation of the Young MedChem Forum, as well as the distribution of a newsletter reporting scientific achievements in the French community and abroad, and an improved presence on social networks. These trends are in line with the current changes in the field in terms of scientific progress, means of communication in the community and with the public and inclusiveness.

Effect driven prioritization of contaminants in wastewater treatment plants across China: A data mining-based toxicity screening approach

A diversity of contaminants of emerging concern (CECs) are present in wastewater effluent, posing potential threats to receiving waters. It is urgent for a holistic assessment of the occurrence and risk of CECs related to wastewater treatment plants (WWTP) on national and regional scales. A data mining-based risk prioritization method was developed to collect the reported contaminants and their respective concentrations in municipal and industrial WWTPs and their receiving waters across China over the past 20 years. A total of 10,781 chemicals were reported in 8336 publications, of which 1037 contaminants were reported with environmental concentrations. While contaminant categories varied across WWTP types (municipal vs. industrial) and regions, pharmaceuticals and cyclic hydrocarbons were the most studied CECs. Contaminant composition in receiving water was closer to that in municipal than industrial WWTPs. Publications on legacy pesticides and polycyclic aromatic hydrocarbons in WWTP decreased recently compared to the past, while pharmaceuticals and perfluorochemicals have received increasing attention, showing a changing concern over time. Detection frequency, concentration, removal efficiency, and toxicity data were integrated for assessing potential risks and prioritizing CECs on national and regional scales using an environmental health prioritization index (EHPi) approach. Among 666 contaminants in municipal WWTP effluent, trichlorfon and perfluorooctanesulfonic acid were with the highest EHPi scores, while 17ɑ-ethinylestradiol and bisphenol A had the highest EHPi scores among 304 contaminants in industrial WWTPs. The prioritized contaminants varied across regions, suggesting a need for tailoring regional measures of wastewater treatment and control.

Recent Advances in Nanocarrier-based Approaches to Atopic Dermatitis and Emerging Trends in Drug Development and Design.

Atopic dermatitis (AD), commonly known as Eczema, is a non-communicable skin condition that tends to become chronic. The deteriorating immunological abnormalities are marked by mild to severe erythema, severe itching, and recurrent eczematous lesions. Different pharmacological approaches are used to treat AD. The problem with commercial topical preparations lies in the limitation of skin atrophy, systemic side effects, and burning sensation that decreases patient compliance. The carrier-based system promises to eliminate these shortcomings; thus, a novel approach to treating AD is required. Liposomes, microemulsions, solid lipid nanoparticles (SLNs), nanoemulsions, etc., have been developed recently to address this ailment. Despite extensive research in the development method and various techniques, it has been challenging to demonstrate the commercial feasibility of these carrier- based systems, which illustrates a gap among the different research areas. Further, different soft wares and other tools have proliferated among biochemists as part of a cooperative approach to drug discovery. It is crucial in designing, developing, and analyzing processes in the pharmaceutical industry and is widely used to reduce costs, accelerate the development of biologically innovative active ingredients, and shorten the development time. This review sheds light on the compilation of extensive efforts to combat this disease, the product development processes, commercial products along with patents in this regard, numerous options for each step of computer-aided drug design, including in silico pharmacokinetics, pharmacodynamics, and toxicity screening or predictions that are important in finding the drug-like compounds.

Chemically engineered CoOx-doped flower-like NiO nanoparticles for photodegradation of Bisphenol A and Orange II Dye, and genetic screening of toxicity via Caenorhaditis elegans

In this study, pure flower-like NiO nanoparticles (NiO NPs), and CoOx-doped NiO nanocomposites (NCs) with varying concentrations (2.5 wt%, 5 wt%, 7.5 wt%, and 10 wt%) were synthesized using a simple hydrothermal technique. Characterization through XRD, XPS, FESEM, TEM-EDS, and BET analyses confirmed their unique structural features and composition. CoOx(2.5 wt%)/NiO NCs exhibited flower-like flakes wedged to the surface of the NiO microspheres, with a measured total pore volume of 0.734 cm³/g and an N2-BET surface area of 285.18 m²/g. Under UV light, these CoOx(2.5 wt%)/NiO NCs demonstrated significant photocatalytic efficiency, archiving 98.7 % and 99 % degradation of BPA and O-II dyes within 120 min. This performance is attributed to the formation of a p-n junction at the interface of CoOx-doped NiO NCs and their flower-like morphology, facilitating effective charge separation and photodegradation. Additionally, toxicity assessment using the C. elegans genetic model focused on stress-responsive genes GST-4, DAF-16, and intracellular ROS. The result showed that the BPA photocatalytic byproduct initially generated intracellular reactive oxygen species (ROS), which gradually diminished over time (60–120 min). In contrast, no evident toxicity was observed for O-II dye byproducts even during short-time degradation. This study not only highlights the efficiency of CoOx-doped NiO NCs in degrading BPA and O-II pollutants but also provides insights into toxicity dynamics, demonstrating their potential for eco-friendly water purification and enhanced water treatment efficiency.

High throughput method for simultaneous screening of membrane permeability and toxicity for discovery of new cryoprotective agents.

Vitrification is the most promising method for cryopreservation of complex structures such as organs and tissue constructs. However, this method requires multimolar concentrations of cell-permeant cryoprotective agents (CPAs), which can be toxic at such elevated levels. The selection of CPAs for organ vitrification has been limited to a few chemicals; however, there are numerous chemicals with properties similar to commonly used CPAs. In this study, we developed a high-throughput method that significantly increases the speed of cell membrane permeability measurement, enabling ~100 times faster permeability measurement than previous methods. The method also allows assessment of CPA toxicity using the same 96-well plate. We tested five commonly used CPAs and 22 less common ones at both 4 °C and room temperature, with 23 of them passing the screening process based on their favorable toxicity and permeability properties. Considering its advantages such as high throughput measurement of membrane permeability along with simultaneous toxicity assessment, the presented method holds promise as an effective initial screening tool to identify new CPAs for cryopreservation.