Efficient Drug Research Articles

Citrus aurantifolia-derived carbon quantum dots with red fluorescence emission for codelivery with curcumin as theranostic liposomes for lung cancer

BackgroundCarbon dots (CDs) derived from Citrus aurantifolia represent a promising platform for advanced cancer therapy and diagnostics (theranostics). These CDs are synthesized through a sustainable and cost-effective hydrothermal method, utilizing fruit juice as a green carbon source. Despite the potential, research on the synthesis of citrus-based CDs, especially regarding their red fluorescence emission, which is crucial for enhanced tissue penetration and biomedical efficacy, remains limited.ResultsIn this study, CDs were successfully synthesized from C. aurantifolia fruit, yielding nanoparticles below 5 nm in size (PDI 0.231 ± 0.04). Characterization revealed favorable optical properties, including excitation-dependent fluorescent behavior with prominent red emission under higher excitation wavelengths, a quantum yield of 8.17%, and stable photoluminescence. Chemical composition analysis using XPS, FTIR, and XRD confirmed the purity and structure of the CDs.To explore their biomedical application, CDs were co-loaded with curcumin into liposomes. The formulations had a mean size of 177.2 ± 3.6 nm (PDI 0.270 ± 0.012), demonstrated efficient drug entrapment (60.32 ± 2.24%), and exhibited rapid release kinetics, with 90.21 ± 2.16% of the drug release within 8 h. In vitro studies using A549 lung cancer cells demonstrated superior cellular uptake and cytotoxicity of Cur-CD-loaded liposomes compared to curcumin alone (Cur-Suspension), achieving IC50 values of 0.093 ± 0.011 µg/ml and 0.016 ± 0.006 µg/ml, respectively.ConclusionThis research underscores C. aurantifolia as a viable natural source for green CD synthesis. The obtained CDs with red fluorescence emission, optimized through reaction conditions and excitation wavelengths, hold promise for enhanced biological applications, particularly in the realm of lung cancer therapy. The findings advocate for further exploration and refinement of citrus-based CDs as versatile theranostic agents, capitalizing on their sustainable origins and potent biomedical properties. The combination of citrus-derived CDs with curcumin loaded into liposomal formulations represents a potent theranostic strategy for lung cancer treatment, leveraging the unique properties of CDs and their potential for targeted and effective therapy.Graphical abstract

Revolutionizing Drug Discovery: The Impact of Distinct Designs and Biosensor Integration in Microfluidics-Based Organ-on-a-Chip Technology.

Traditional drug development is a long and expensive process with high rates of failure. This has prompted the pharmaceutical industry to seek more efficient drug development frameworks, driving the emergence of organ-on-a-chip (OOC) based on microfluidic technologies. Unlike traditional animal experiments, OOC systems provide a more accurate simulation of human organ microenvironments and physiological responses, therefore offering a cost-effective and efficient platform for biomedical research, particularly in the development of new medicines. Additionally, OOC systems enable quick and real-time analysis, high-throughput experimentation, and automation. These advantages have shown significant promise in enhancing the drug development process. The success of an OOC system hinges on the integration of specific designs, manufacturing techniques, and biosensors to meet the need for integrated multiparameter datasets. This review focuses on the manufacturing, design, sensing systems, and applications of OOC systems, highlighting their design and sensing capabilities, as well as the technical challenges they currently face.

A review on nanotechnological aspects in medicinal textile

<p><span lang="EN-US" style="font-size: 10.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: Calibri; color: windowtext; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Nanoscience and Technology has become popular and touched almost every branch of science and technology. Textile engineering is also not exception. Various nanoparticles are being used in smart textiles and technical textile products. Medical textile is an important area and have much opportunities for innovation and discoveries. Therefore, nanomaterials are used in medical textiles to have exotic properties. Herein we have discussed several methods for the characterization of materials at nanoscale. The common spectroscopic techniques like UV-Visible spectroscopy and microscopic techniques like scanning electron microscopy and transmission electron microscope routinely used in material characterization are discussed in detail. In the last section of the article we discussed various applications of nanomaterials in modern medical textile. The nanomaterials are used in surgical gowns, sanitary napkins, UV protection appliances, antimicrobial coating, sutures etc. Some advanced nanomaterials can be used in disease diagnosis, flame retardants, efficient drug delivery systems etc.</span></p>

Enhancement of Temozolomide Stability and Anticancer Efficacy by Loading in Monopalmitolein-Based Cubic Phase Nanoparticles.

Temozolomide (TMZ) is a prodrug possessing a wide spectrum of anticancer activities. TMZ is pharmacologically inactive, but at a physiological pH, it is quickly converted to an active metabolite, 5-aminoimidazole-4-carboxamide, and a methyldiazonium cation. Due to its chemical nature, TMZ presents some capability of crossing the blood-brain barrier and therefore is used as a first-line agent in the treatment of gliomas. Here, we aimed to improve the anticancer effectiveness of TMZ by loading it into cubosomes, which are lipid nanoparticles recognized as efficient nano-based drug delivery systems. TMZ was incorporated into the monoolein (MO)- and monopalmitolein (MP)-derived cubic phases to improve its stability and half-life. It was considered that the drug release rate may vary between the MO and MP cubosomes, as the water channels of MP phases are larger than those of MO cubosomes. Therefore, we expected that due to the MPs' ability to entrap more drug molecules inside the mesophase, the concentration of TMZ available to cancer cells would be enhanced. This assumption was supported by biological analyses using the A-172 and drug-resistant T98G glioma-derived cell lines. The strongest reduction in viability was observed for A-172 cells treated with TMZ-loaded MP nanoparticles. Importantly, the TMZ-loaded MPs also caused a significant anticancer effect in the drug-resistant T98G glioma-derived cells. Both MO and MP empty cubic phases did not affect the survival of the tested cells. Concluding, TMZ-loaded cubosomes present strong anticancer properties. Encapsulating the drug within the lipid nanostructure helps to protect the drug from degradation and allows for greater accumulation of TMZ at the tumor site. Together with chemical-based features of mesophases related to increased cargo size and kinetic properties, we imply that MPs may be considered as a highly efficient nano-based drug delivery system to treat poorly curable tumors including gliomas.

Pharmacists Impact on Promoting the Public Health

Because they can guarantee that patients receive safe and effective medications, pharmacists are essential members of the healthcare team. In an effort to maximize patient results, they work in tandem with other medical specialists to evaluate pharmacological therapy, dispense medication, counsel patients on drug interactions and side effects, and monitor medication schedules. Pharmacists also give patients advice on managing illnesses, changing lifestyles, and adhering to medication regimens. The range of work that pharmacists do has expanded with the emergence of numerous global health issues. Safe and efficient drug usage by community and clinical pharmacists is necessary to provide the best possible patient outcomes. The public is still ignorant about the pharmacist's contribution to national and international health, nevertheless. They also perform drug use assessments, act as drug information specialists, and offer advice on the proper choice and dosage of medications. Pharmacists play a critical role in healthcare organizations as they strive to reduce prescription errors, enhance patient safety, and manage costs. The pharmacist can improve public health in a beneficial way. Thus far, the rise in the importance of pharmacists has been more influenced by the expansion of patient services than by a population-based approach to health. Pharmacists may find that integrating the five public health core competencies—social and behavioral science, health policy and administration, epidemiology, biostatistics, and environmental health sciences—into their pharmacy practice increases their efficacy and influence.

Structure-Based Virtual Screening and Protein–Protein Docking Analysis of ERBB2 and Associated Proteins for Pediatric Cancer Therapeutic Approaches

Abstract Introduction The Erythroblastosis Oncogene B homolog 2 (ERBB2) protein, also known as human epidermal growth factor receptor 2 (HER2), is a key player in cancer growth, especially in neuroblastoma and gastric cancers. Targeting ERBB2 has led to successful therapies, making it an important focus in cancer research with the potential to improve treatment for HER2-positive cancers. Objective The primary goal of this research is to employ a multifaceted computational approach to identify potential drug candidates targeting ERBB2. We aim to combine virtual screening, protein–protein docking, and functional partner prediction to provide insights into the molecular interactions and potential efficacy of the identified compounds. Additionally, we intend to assess the safety profiles of these compounds using advanced toxicity prediction tools. Methods Relevant protein sequence and structural data for ERBB2 and epidermal growth factor receptor (EGFR) were sourced from publicly available databases. Potential inhibitors from the Enamine and LifeChemicals databases were identified through virtual screening using AutoDock Vina. Functional partners of ERBB2 were explored using STRING, KEGG, and REACTOME servers. The identified compounds were subjected to toxicity prediction using the ProTox-II server. Results Virtual screening led to the selection of 10 compounds with favorable binding energies (–8.346 to –6.296 kcal/mol) and specific amino acid interactions (Thr5, Arg412, Leu414, and Ser441) with the receptor. On the other hand, EGFR was identified as the best functional partner for ERBB2. The EGFR residues Gln408, Lys463, Phe412, and Asp436 found key residues for the complex formation. The toxicity prediction analysis revealed that the majority of compounds exhibited acceptable safety profiles, although a subset of compounds showed lower prediction scores, suggesting the need for further consideration. Conclusion This comprehensive computational approach, integrating virtual screening, protein–protein docking, functional partner identification, and toxicity prediction, offers a systematic framework for efficient drug discovery. The identification of potential lead compounds targeting ERBB2, with emphasis on both binding affinity and safety, underscores the significance of such an approach in streamlining the drug development process. By prioritizing compounds with promising efficacy, functional relevance, and acceptable toxicity profiles, this study advances our understanding of potential therapeutic agents, enhancing the likelihood of successful translation from computational predictions to real-world drug candidates.

Flow and heat transfer of non-miscible micropolar and Newtonian fluid in porous channel sandwiched between parallel plates

An analytical approach has been considered to inspect the flow and heat transfer of immiscible Newtonian and micropolar fluid in a porous medium. This study aims to elucidate the Darcy effect on the model in which isotropic porous regions with different permeability are used. The model of the current problem explains that the flow region is divided into two regions: Newtonian fluid flows in the upper layer, and micropolar fluid flows in the lower layer. Different constant temperatures imposed at boundary walls, heat transfer does not affect the pressure gradient. The governing equations are solved analytically by applying a linear differential equation (LDE). The effect of associated physical parameters such as material parameter, Darcy number, Eckert number, Prandtl number, and viscosity ratio on velocity, micro-rotation, heat transfer, flow rate, heat transfer rate, wall shear stress, and Nusselt number have been inspected. The most significant finding of this research work is that increasing the Darcy number signifies enhanced permeability, resulting in a higher flow rate. The heat transfer rate at the top occurs maximum when the material parameter’s range is minimum while raising the viscosity ratio leads to an increasing heat transfer rate at the bottom. Enhancement in material parameter influences Nusselt number and decreases in nature. The findings of our study are verified with the previously established results. The present work has a setup that is useful in petroleum extraction, transport problems in reservoir rock of an oil field, improving nutrient transport and thermal regulation in tissue engineering, and designing more efficient drug delivery systems and biomedical devices.

Immunomodulatory Effects of Statins in the Treatment and Prophylaxis of Influenza Viruses

Background and aim: Influenza, commonly referred to as "the flu," is an infectious illness caused by influenza viruses (IV). Despite the availability of efficient antiviral drugs, the IV still significantly increases mortality. Antiviral drugs swiftly remove these viruses from pulmonary secretions, suggesting that a prolonged inflammatory response may be to blame for the poor result. Therefore, using immunomodulatory medications looks advantageous. Numerous anti-inflammatory effects are produced by statins. Numerous retrospective studies recommended that statins be considered for IV therapy. This study set out to comprehensively examine the immunomodulatory potential of statins in IV prophylaxis and therapy. Methods: From the beginning until 25 March 2022, a number of electronic databases (Scopus, EMBASE, PubMed, Web of Science, ProQuest, OVID, EBSCO, and CINAHL) were searched for cohort studies and randomized trials assessing the association between outcomes or risk of infections and statin therapy. Data were gathered on the investigated characteristics, measuring statin usage, quality evaluation, and results (set for potential confounders). Results: Finding additional therapeutic agents for influenza prevention and management is crucial since there are uncertain public health issues regarding the clinical efficacy of conventional medications. Pro-inflammatory cytokines are released as a result of influenza. According to the results, by using anti inflammatory medications, severe influenza infections can be prevented along with pleiotropic effects. As a result, statins, which are cardioprotective medications with immunomodulatory and anti-inflammatory properties, may be beneficial for individuals with IV. Conclusion: Based on the positive immunomodulatory effects of statin administration, our systematic review's findings suggested that IVs may be prevented and treated.

To Explore the Rule and Mechanism of Traditional Chinese Medicine in the Treatment of Postmenopausal Osteoporosis Based on Data Mining, Network Pharmacology and Molecular Docking Technology

Postmenopausal osteoporosis (PMOP) is an important part of primary osteoporosis, and the current clinical treatment program for PMOP is easily limited by side effects and adverse reactions, so it is particularly important to seek more efficient, safe, and economical drug treatment for PMOP. In recent years, with the change of disease treatment mode and the gradual deepening of Traditional Chinese medicine (TCM) research on PMOP, a review of the literature reveals that there is a huge number of studies on the use of TCM in the treatment of PMOP, but there are no relevant systematic studies on the rules of its formulas and the specific mechanisms by which the core drugs exert their therapeutic effects. Therefore, in this study, we collected a total of 141 formulas used by TCM clinicians to treat PMOP, statistically analyzed their high-frequency medications, Four Qi, Five Flavors, meridians, and efficacies, and analyzed the core medications based on the association rules, which were Rehmanniae Radix Praeparata, Epimedium, Eucommia ulmoides, Rhizoma Drynariae, Angelica sinensis, Achyranthes, Astragalus propinquus, Psoralen, Cornus officinalis and licorice. A total of 87 drug pairs were obtained from the correlation analysis, and a total of 8 groups of potential core combination drugs and 4 potential new prescriptions were derived based on the cluster analysis. Subsequently, a network pharmacological analysis of the core drugs was conducted to obtain 173 active ingredients in the core drugs, including kaempferol, β-sitosterol, quercetin, etc. 298 targets of action, including MAPK3, STAT1, HSP90AA1, etc. 170 signaling pathways including AGE-RAGE, PI3 K/Akt, TNF, HIF-1 and others. The molecular docking results showed that 11 key active ingredients in the core drugs had stable binding to the target targets. This study showed that TCM treatment of PMOP is mainly based on “reinforcing liver and kidney, warmly invigorating spleen and stomach, activating blood and resolving stasis.” Core drugs therapy for PMOP is a comprehensive intervention through multi-component, multi-target, and multi-pathway approaches. The minimum binding energies between the 11 key active ingredients and the 11 key targets were calculated in a comprehensive analysis, which shows that the core drugs have good binding activities to their therapeutic targets, proving that the predictions of this study are reliable. In the future, it will provide certain medication basis and data support for TCM treatment of PMOP.

PH-Responsive supramolecular vesicles for imaging-guided drug delivery: Harnessing aggregation-induced emission.

The water-soluble tribenzotriquinacene-based hexacarboxylic acid ammonium salt, TBTQ-C 6 , acts as the host component (H) forming host-guest complexes with tetraphenylethylene (TPE)-functionalized monotopic and tetratopic quaternary ammonium derivatives, G1 and G2, to yield supra-amphiphiles. These supra-amphiphiles self-assemble to form pH-responsive fluorescent vesicles, which have allowed us to capitalize on the aggregation-induced emission (AIE) effect for imaging-guided drug delivery systems. These systems exhibit efficient drug loading and pH-responsive delivery capabilities. Upon encapsulation of the anticancer drug doxorubicin (DOX), both the TPE and DOX chromophores undergo dual-fluorescence deactivation due to the energy transfer relay (ETR) effect. Under acidic conditions, the release of DOX interrupts the ETR effect, resulting in the fluorescence recovery of TPE fluorogens and DOX, allowing for real-time visual monitoring of the drug release process. Cytotoxicity experiments confirmed the low toxicity of the unloaded vectors to normal cells, while the DOX-loaded vectors were found to significantly enhance the anticancer activity of DOX against cancer cells in vitro. The AIE-featured supramolecular vesicles presented in this research hold great potential for imaging-guided drug delivery systems.

Development of a nanomachine for efficient drug delivery to the brain

Recently, bottom-up technologies, in particular the utilization of self-assembly of functional polymers to form nanostructures in solutions have been collecting attention. These technologies are being explored for various applications, especially for usage in therapeutics. One of the goals of such studies is to develop a drug delivery system (DDS) that delivers bioactive substances to specific targets within our body, eliciting the desired functionality. The authors have been developing "nanomachines" using biocompatible polymers to safely and efficiently deliver drugs mainly to tumors. The aim of this study is to utilize our expertise in designing a nanomachine to develop a cutting-edge nanomachine that can efficiently penetrate the blood-brain barrier (BBB) and deliver drugs to the brain parenchyma. Furthermore, leveraging this "nanomachine" technology, the authors are advancing the "Hayabusa Nanomachine," which can non-invasively collect and detect brain molecules, correlating them with various biological processes, ultimately leading to a better understanding of brain function and diseases. This paper also introduces the concept and ongoing efforts to the development of "Hayabusa Nanomachines," which have the potential to revolutionize existing approaches in this field.

Drug-Target Binding Affinity Prediction in a Continuous Latent Space Using Variational Autoencoders.

Accurate prediction of Drug-Target binding Affinity (DTA) is a daunting yet pivotal task in the sphere of drug discovery. Over the years, a plethora of deep learning-based DTA models have emerged, rendering promising results in predicting the binding affinities between drugs and their target proteins. However, in contrast to the conventional approach of modeling binding affinity in vector spaces, we propose a more nuanced modeling process in a continuous space to account for the diversity of input samples. Initially, the drug is encoded using the Simplified Molecular Input Line Entry System (SMILES), while the target sequences are characterized via a pretrained language model. Subsequently, highly correlative information is extracted utilizing residual gated convolutional neural networks. In a departure from existing deep learning-based models, our model learns the hidden representations of the drugs and targets jointly. Instead of employing two vectors, our hidden representations consist of two Gaussian distributions. To validate the effectiveness of our proposal, we conducted evaluations on commonly utilized benchmark datasets. The experimental outcomes corroborated that our method surpasses the state-of-the-art vectorial representation methods in terms of performance. This approach, therefore, offers potential enhancements in the precision of DTA predictions, potentially contributing to more efficient drug discovery processes.

Microneedle-based arrays – Breakthrough strategy for the treatment of bacterial and fungal skin infections

Currently, fungal and bacterial skin infections rank among the most challenging public health problems due to the increasing prevalence of microorganisms and the development of resistance to available drugs. A major issue in treating these infections with conventional topical medications is the poor penetration through the stratum corneum, the outermost layer of the skin. The concept of microneedles seems to be a future-proof approach for delivering drugs directly into deeper tissues. By bypassing the skin barrier, microneedle systems allow therapeutic substances to reach deeper layers more efficiently, significantly improving treatment outcomes. Nonetheless, the primary challenges regarding the effectiveness of microneedles involve selecting the appropriate size and shape, along with polymer composition and fabrication technology, to enable controlled and efficient drug release. This review offers a comprehensive overview of the latest knowledge on microneedle types and manufacturing techniques, highlighting their potential effectiveness in treating bacterial and fungal skin infections. It includes updated statistics on infection prevalence and provides a detailed examination of common bacterial and fungal diseases, focusing on their symptoms, causative species, and treatment methods. Additionally, the review addresses safety considerations, regulatory aspects, and future perspectives for microneedle-based therapeutic systems. It also underscores the importance of industrialization and clinical translation efforts, emphasizing the significant potential of microneedle technology for advancing medical applications.

53976 Topical in-vitro delivery of a model drug from novel silicone polymer gel formulations providing efficient drug delivery and pleasant aesthetics

53976 Topical in-vitro delivery of a model drug from novel silicone polymer gel formulations providing efficient drug delivery and pleasant aesthetics

Nanomedicine Therapies for Pediatric Diseases.

In 2020, the top 10 causes of death among children and adolescents between the ages of 1 and 19 years old included cancer, congenital anomalies, heart disease, and chronic respiratory disease; all these conditions are potentially treatable with medical intervention. However, children exhibit specific physiological and developmental characteristics that can significantly impact drug pharmacokinetics, pharmacodynamics, and safety profile. These factors illustrate the importance of a heightened focus on pediatric drug development. Traditional drugs lack proper circulation, permeability, targeting, accumulation, and release, and they often require dose adjustments or modifications, which can result in suboptimal therapeutic outcomes and increased risks of adverse effects in pediatric patients. Nanomedicines have emerged as efficient drug delivery systems because of their unique properties, which can improve the solubility and stability of drugs by encapsulating them in different forms of nanoparticles. This review discusses the challenges of pediatric therapy, and the current state of nanomedicines for pediatric diseases in terms of Food and Drug Administration-approved nanomedicines, the types of diseases treated or diagnosed, and preclinical studies that have the potential to be translated to the clinic. In summary, nanomedicine holds significant potential for addressing the unique and pressing challenges associated with diagnosing and treating pediatric diseases.

A biomimetic targeted nanosystem delivering synergistic inhibitors for glioblastoma immune microenvironment reprogramming and treatment

Efficient drug delivery across the blood-brain barrier is imperative for treating glioblastoma (GBM). This study utilized the GBM cell membrane to construct a biomimetic targeted nanosystem (GMNPs@AMD/RAPA) that hierarchically releases the CXCR4 antagonist AMD3100 and the mTOR pathway inhibitor rapamycin (RAPA) for reprogramming the tumor immune microenvironment and suppressing the progression of GBM. By initially inhibiting the CXCL12/CXCR4 axis, the tumor microenvironment (TME) was reprogrammed to enhance the infiltration of cytotoxic T lymphocytes (CTLs) into the TME while suppressing tumor cell survival, proliferation, and angiogenesis. Subsequently, through further cellular uptake and degradation of the nanoparticles, the mTOR pathway inhibitor RAPA was released, further suppressing the tumor progression. This study successfully combined chemotherapy and immunotherapy, achieving effective synergistic therapeutic effects, and suppressing the progression of GBM.

Development and characterization of a zeolite based drug delivery system: Application to cannabidiol oral delivery

The growing interest in the therapeutic potential of cannabidiol (CBD) has led to the need for effective and reliable delivery methods that overcome its low oral absorption. Zeolites, a class of porous nanoparticles, offer unique advantages as drug carriers due to their high surface area and adjustable pore size. In this study, a zeolite-based drug delivery system was developed for the encapsulation of CBD. The zeolite particles were characterized using various techniques such as Scanning Electron Microscopy (SEM), N2 adsorption analysis, Solid-state Fourier Transform Infrared (FTIR), Direct Light Scattering (DLS), X-ray diffraction (XRD) and thermogravimetric analysis (TGA) before and after the loading. The drug encapsulation efficiency, and the release profile of CBD from the zeolite matrix were evaluated in addition to in vitro dissolution experiments in the intestinal and gastric simulated fluids. The results showed that the loaded zeolite particles exhibited high encapsulation efficiency of 73.5 %. XRD analysis proved that the USY structure remained intact after loading with CBD. DLS and N2 adsorption analysis indicated that CBD was successfully loaded into the zeolite matrix. When compared to CBD containing particles in a commercialized capsule, the in-vitro dissolution rate of CBD loaded zeolite was significantly higher after 30 min in the simulated stomach (pH 1.8) and the intestinal (pH 6.8) fluids, 67.8 % versus 43.6 % and 62.6 % vs 38.4 % respectively. Our findings open new avenues for the use of zeolites as an efficient drug delivery system for drugs with low bioavailability like CBD.

AN IN VITRO EVALUATION OF ANTI-UROLITHIASIS POTENTIAL OF SIDDHA FORMULATION SAGALANOI CHOORANAM USING STRUVITE CRYSTAL GROWTH INHIBITION ASSAY

Renal calculus is a rising concern, with a prevalence of 12% across the world and 12% in India, which is around 2 million people affected by Urolithiasis. The rise in the ratio has been correlated to genetic predisposition, working in high temperatures, high caffeine intake, lack of physical activity, and groundwater consumption. Yet the major risk factor is a diet that consists of excess animal proteins, which reduces urinary PH and citrate excretion, leading to the formation of Renal calculi. The main aim of this article is to evaluate the anti-urolithiatic potential of a polyherbal Siddha formulation Sagalanoi chooranam obtained from the classical Siddha text Brahmamuni Karukidai Soothiram 380. From the results, it was concluded that the drug has a high potential as an alternative for the management of renal calculus in Siddha. The ingredients efficiently manage renal calculus due to their potent anti-urolithiasis activity, diuretic and anti-inflammatory activity as cited in modern research articles and by mitigating azhal and Vata humour as mentioned in classical Siddha texts. The effect of Sagalanoi chooranam on struvite crystal growth inhibition assay through a significant reduction in the crystal size further validates the drug's efficiency in managing Renal calculus. In such a scenario, the Siddha drug Sagalanoi chooranam can be used as an individual drug or alongside Biomedicine in the management of Renal calculi.

A common druggable signature of oncogenic c-Myc, mutant KRAS and mutant p53 reveals functional redundancy and competition among oncogenes in cancer

The major driver oncogenes MYC, mutant KRAS, and mutant TP53 often coexist and cooperate to promote human neoplasia, which results in anticancer therapeutic opportunities within their downstream molecular programs. However, little research has been conducted on whether redundancy and competition among oncogenes affect their programs and ability to drive neoplasia. By CRISPR‒Cas9-mediated downregulation we evaluated the downstream proteomics and transcriptomics programs of MYC, mutant KRAS, and mutant TP53 in a panel of cell lines with either one or three of these oncogenes activated, in cancers of the lung, colon and pancreas. Using RNAi screening of the commonly activated molecular programs, we found a signature of three proteins - RUVBL1, HSPA9, and XPO1, which could be efficiently targeted by novel drug combinations in the studied cancer types. Interestingly, the signature was controlled by the oncoproteins in a redundant or competitive manner rather than by cooperation. Each oncoprotein individually upregulated the target genes, while upon oncogene co-expression each target was controlled preferably by a dominant oncoprotein which reduced the influence of the others. This interplay was mediated by redundant routes of target gene activation - as in the case of mutant KRAS signaling to c-Jun/GLI2 transcription factors bypassing c-Myc activation, and by competition - as in the case of mutant p53 and c-Myc competing for binding to target promoters. The global transcriptomics data from the cell lines and patient samples indicate that the redundancy and competition of oncogenic programs are broad phenomena, that may constitute even a majority of the genes dependent on oncoproteins, as shown for mutant p53 in colon and lung cancer cell lines. Nevertheless, we demonstrated that redundant oncogene programs harbor targets for efficient anticancer drug combinations, bypassing the limitations for direct oncoprotein inhibition.

Predicting drug-target interactions by measuring confidence with consistent causal neighborhood interventions

Predicting drug-target interactions (DTI) is a crucial stage in drug discovery and development. Understanding the interaction between drugs and targets is essential for pinpointing the specific relationship between drug molecules and targets, akin to solving a link prediction problem using information technology. While knowledge graph (KG) and knowledge graph embedding (KGE) methods have been rapid advancements and demonstrated impressive performance in drug discovery, they often lack authenticity and accuracy in identifying DTI. This leads to increased misjudgment rates and reduced efficiency in drug development. To address these challenges, our focus lies in refining the accuracy of DTI prediction models through KGE, with a specific emphasis on causal intervention confidence measures (CI). These measures aim to assess triplet scores, enhancing the precision of the predictions. Comparative experiments conducted on three datasets and utilizing 9 KGE models reveal that our proposed confidence measure approach via causal intervention, significantly improves the accuracy of DTI link prediction compared to traditional approaches. Furthermore, our experimental analysis delves deeper into the embedding of intervention values, offering valuable insights for guiding the design and development of subsequent drug development experiments. As a result, our predicted outcomes serve as valuable guidance in the pursuit of more efficient drug development processes.