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Preserving the efficacy of probiotic bacteria exhibits paramount challenges that need to be addressed during the development of functional food products. Several factors have been claimed to be responsible for reducing the viability of probiotics including matrix acidity, level of oxygen in products, presence of other lactic acid bacteria, and sensitivity to metabolites produced by other competing bacteria. Several approaches are undertaken to improve and sustain microbial cell viability, like strain selection, immobilization technologies, synbiotics development etc. Among them, cell immobilization in various carriers, including composite carrier matrix systems has recently attracted interest targeting to protect probiotics from different types of environmental stress (e.g., pH and heat treatments). Likewise, to successfully deliver the probiotics in the large intestine, cells must survive food processing and storage, and withstand the stress conditions encountered in the upper gastrointestinal tract. Hence, the appropriate selection of probiotics and their effective delivery remains a technological challenge with special focus on sustaining the viability of the probiotic culture in the formulated product. Development of synbiotic combinations exhibits another approach of functional food to stimulate the growth of probiotics. The aim of the current review is to summarize the strategies and the novel techniques adopted to enhance the viability of probiotics.

Cancer drug development has been riddled with high attrition rates, in part, due to poor reproducibility of preclinical models for drug discovery. Poor experimental design and lack of scientific transparency may cause experimental biases that in turn affect data quality, robustness and reproducibility. Here, we pinpoint sources of experimental variability in conventional 2D cell-based cancer drug screens to determine the effect of confounders on cell viability for MCF7 and HCC38 breast cancer cell lines treated with platinum agents (cisplatin and carboplatin) and a proteasome inhibitor (bortezomib). Variance component analysis demonstrated that variations in cell viability were primarily associated with the choice of pharmaceutical drug and cell line, and less likely to be due to the type of growth medium or assay incubation time. Furthermore, careful consideration should be given to different methods of storing diluted pharmaceutical drugs and use of DMSO controls due to the potential risk of evaporation and the subsequent effect on dose-response curves. Optimization of experimental parameters not only improved data quality substantially but also resulted in reproducible results for bortezomib- and cisplatin-treated HCC38, MCF7, MCF-10A, and MDA-MB-436 cells. Taken together, these findings indicate that replicability (the same analyst re-performs the same experiment multiple times) and reproducibility (different analysts perform the same experiment using different experimental conditions) for cell-based drug screens can be improved by identifying potential confounders and subsequent optimization of experimental parameters for each cell line.

In our study, we investigated the chemical composition and cytotoxic activity of essential oils isolated from Dalmatian sage (Salvia officinalis L.) collected along the Adriatic coast of Croatia. Scanning electron microscopy (SEM) was used to examine the morphology of the stem and leaf surfaces. Essential oil excretory glands were detected on both the leaves and stem surfaces. The essential oils were isolated by hydrodistillation, and their chemical composition was determined by gas chromatography and mass spectrometry (GC-MS). Sage essential oils were mixtures of terpene compounds, among which the most common were: α- and β-thujone, camphor, and 1,8-cineol. Cytotoxic activity was tested using MTS assay on multiple cell lines: normal and immortalized fibroblasts (HF77FA and HDF-Tert), immortalized lung line (BEAS-2B), and breast adenocarcinoma (MDA-MB-231). The growth of treated cells was determined relative to control conditions without treatment. The immortalized lung line was the least resistant to the activity of the essential oils, whereas immortalized fibroblasts were the most resistant. Statistical analysis has connected the cytotoxic effect and chemical composition of the studied essential oils. To the best of our knowledge, this work is the first testing of the cytotoxic activity of S. officinalis EO’s on the BEAS-2B, HF77FA, and HDF-Tert cell lines. The presented data on essential oil chemical composition and cytotoxic effect on 4 types of human cells supports pharmacotherapeutic potential this plant is known to have.

Over the past century, numerous methods for assessing cell viability have been developed, and there are many different ways to categorize these methods accordingly. We have chosen to use the Organisation for Economic Co-operation and Development (OECD) classification due to its regulatory importance. The OECD categorizes these methods into four groups: non-invasive cell structure damage, invasive cell structure damage, cell growth, and cellular metabolism. Despite the variety of cell viability methods available, they can all be categorized within these four groups, except for two novel methods based on the cell membrane potential, which we added to the list. Each method operates on different principles and has its own advantages and disadvantages, making it essential for researchers to choose the method that best fits their experimental design. This review aims to assist researchers in making this decision by describing these methods regarding their potential use and providing direct references to the cell viability assessment methods. Additionally, we use the OECD classification to facilitate potential regulatory use and to highlight the need for adding a new category to their list.

Callerya speciosa is widely distributed in tropical and subtropical countries and is traditionally used for preventing numerous disorders. In this study, a bioguided fractionation of ethyl acetate extract (SE) from C. speciosa root was carried out to target antioxidant and cytotoxic activities. Of the four fractions (SE1-SE4) obtained by column chromatography, SE4 had the strongest anti-radical ability in the DPPH and ABTS assays (IC50 = 0.05 and 0.17 mg/mL, respectively), with results close to butylated hydroxytoluene (BHT), a common antioxidant agent. The cytotoxic activities against the selected cells were analyzed in this study by MTT assay. Accordingly, SE2, SE3, and SE4 significantly inhibited the viability of multiple myeloma cell lines, comprising U266 (IC50 = 0.38, 0.09, and 0.11 mg/mL, respectively) and KMS11 (IC50 = 0.09, 0.17, and 0.15 mg/mL, respectively), mantle cell lymphoma Mino (IC50 = 0.08, 0.16, and 0.15 mg/mL, respectively), and the noncancerous cell line LCL (IC50 = 0.40, 0.32, and 0.21 mg/mL, respectively). At a concentration of 125 µg/mL, SE2, SE3, and SE4 induced the cell apoptosis of U266 (32.2%, 53.2%, and 55.6%, respectively), KMS11 (36.9%, 40.8%, and 47.9%, respectively), Mino (36.6%, 39.8%, and 22.0%, respectively), and LCL (12.4%, 17.5%, and 23.5%, respectively) via annexin V assay. The dominant compounds detected in fractions by high-performance liquid chromatography–electrospray ionization–tandem mass spectrometry (HPLC-ESI-MS/MS), were identified as isoflavones. This is the first report describing C. speciosa as a promising natural source of antileukemia and antimyeloma agents, which may be useful for the development of blood cancer treatments.

The prevailing scientific literature suggests that implantable plates demand resurgery, and it will result in corrosion behaviour and the formation of biofilm on the scaffold by Staphylococcus aureus , which is capable of causing a bone surgery-related detrimental effect in two-thirds of the people suffering from osteomyelitis diseases. The development of a nanocomposite scaffold by 3D-bioprinting to improve potent mechanical features with substantial biological characteristics. By incorporating hydroxyapatite (10% w/v) into chitosan (10% w/v) at 1:1 ratio mimicking the natural structure of soft bone tissue. Furthermore, a better structural hydrogel was synthesized for 3D bio-printing through the incorporation of Ti-MXene into the Chitosan/Hydroxyapatite nanocomposite at two distinct ratios. Apart from this, 0.3 mg/mL of Ti-MXene containing 3D-printed nanocomposite scaffold revealed better structural morphology with very less biofilm formation when compared to other 3D-printed scaffolds. Furthermore, mechanical testing such as tensile revealed 23.3 MPa for 0.3 mg/mL of Ti-MXene incorporated Chitosan/HAP nanocomposite. Additionally, this scaffold exhibits a favorable contact angle (74.70°) with a low swelling ratio (27.6%) and degradation rate (1.1%). Further, an in-vitro cell viability test showed a higher cell attachment without cell death. These results find the absence of toxic effect and suggest an enhancement in cell attachment.

Background The initiation and subsequent evolution of cancer are largely driven by a relatively small number of somatic mutations with critical functional impacts, so-called driver mutations. Identifying driver mutations in a patient’s tumor cells is a central task in the era of precision cancer medicine. Over the decade, many computational algorithms have been developed to predict the effects of missense single-nucleotide variants, and they are frequently employed to prioritize mutation candidates. These algorithms employ diverse molecular features to build predictive models, and while some algorithms are cancer-specific, others are not. However, the relative performance of these algorithms has not been rigorously assessed. Results We construct five complementary benchmark datasets: mutation clustering patterns in the protein 3D structures, literature annotation based on OncoKB, TP53 mutations based on their effects on target-gene transactivation, effects of cancer mutations on tumor formation in xenograft experiments, and functional annotation based on in vitro cell viability assays we developed including a new dataset of ~ 200 mutations. We evaluate the performance of 33 algorithms and found that CHASM, CTAT-cancer, DEOGEN2, and PrimateAI show consistently better performance than the other algorithms. Moreover, cancer-specific algorithms show much better performance than those designed for a general purpose. Conclusions Our study is a comprehensive assessment of the performance of different algorithms in predicting cancer driver mutations and provides deep insights into the best practice of computationally prioritizing cancer mutation candidates for end-users and for the future development of new algorithms.

The development of new compounds or materials for medicine suggests a study of their cytotoxicity. The effect of a material on cell viability can be evaluated by several methods based on DNA content, DNA synthesis, plasma membrane integrity, cellular enzyme activity, cellular reducing potential, and ATP level. Sometimes it is impossible to apply widely used commercially available reagents, e.g., when cells are cultured on materials, that interfere with the chemicals used or resulting in the course of enzymatic reaction. Here, we offer a method for monitoring the viability of cells proliferating on different supports in vitro. The method is based on the measurement of lactate dehydrogenase (LDH) activity in cellular lysates. After cells were lysed in 1% Nonidet P40 and supernatants were transferred into fresh tubes, LDH activity was measured in the supernatants using colorimetric method. The usefulness of the test was studied using human cervical adenocarcinoma HeLa cells and human gingival fibroblasts cultivated on different materials, including activated carbon-loaded scaffolds. The comparison with widely used AlamarBlue® assay confirms the LDH-based method as an appropriate alternative for measuring the living cell number in vitro in a quick, simple, and cost-effective manner when widespread methods for the evaluation of cell viability could not be used.

Background/Objectives: Ascorbic acid (AA)is a micronutrient with concentration-dependent anticancer properties, acting either as a reactive oxygen species (ROS) scavenger or inducer. Methods: Conventional redox-based assays such as MTS/MTT often overestimate cell proliferation due to AA’s interaction with tetrazolium salts, leading to increased formazan production. To overcome this limitation, we employed the Propidium Iodide Triton X-100 (PI/TX-100) assay to evaluate AA’s cytotoxic effects across a diverse panel of cancer and normal cell lines, including prostate (22Rv1, C4-2B, DU-145, LNCaP), breast (MCF-7, MDA-MB-231, MDA-MB-453), lung (A549), liver (HepG2, SK-HEP-1, Huh7), and kidney (Vero) cells. Results: AA significantly suppressed cancer cell viability compared to normal cells (RWPE1 and Vero), with the strongest effects observed in hormone receptor-positive lines. The relative sensitivity to AA followed distinct patterns within each cancer type. Mechanistically, AA-induced cell death involved ROS generation, lipid peroxidation, cell cycle arrest, ferroptosis, apoptosis, and downregulation of pyruvate dehydrogenase kinase 1 (PDHK1). Conclusions: These findings further support the potential of AA as a selective anticancer agent and highlight the importance of assay choice in evaluating its therapeutic efficacy.

Mesenchymal stem cells (MSC) are currently being investigated for their therapeutic applications in a wide range of diseases. Although many studies examined peripheral venous administration of MSC, few have investigated the detailed intravenous administration procedures of MSC from their preparation until they enter the body. The current study therefore aimed to explore the most efficient infusion procedure for MSC delivery by preparing and infusing them under various conditions. Canine adipose-derived mesenchymal stem cells (cADSC) were infused using different infusion apparatuses, suspension solutions, allogenic serum supplementation, infusion time and rates, and cell densities, respectively. Live and dead cell counts were then assessed by manual measurements and flow cytometry. Efficiency of live- and dead-cell infusion and cell viability were calculated from the measured cell counts and compared under each condition. Efficiency of live-cell infusion differed significantly according to the infusion apparatus, infusion rate, and combination of cell density and serum supplementation. Cell viability after infusion differed significantly between the infusion apparatuses. The optimal infusion procedure resulting in the highest cell delivery and viability involved suspending cADSC in normal saline supplemented with 5% allogenic serum at a density of 5 × 105 cells/mL, and infusing them using an automatic infusion device for 15 min. This procedure is therefore recommended as the standard procedure for the intravenous administration of ADSC in terms of cell-delivery efficiency.