Search Results (30)

Insulin injection remains the best therapy for diabetes mellitus, but subcutaneous injection continues to pose challenges, including patient discomfort, poor compliance and fluctuating plasma glucose profiles. Recently, transdermal insulin delivery has emerged as a non-invasive strategy that bypasses gastrointestinal degradation and first-pass hepatic metabolism, thereby increasing insulin bioavailability and enhancing patient acceptance. Recent developments in nanomedicine have facilitated the development of transdermal patches with enhanced drug encapsulation, uptake and controlled release. Nanostructured lipid carriers, polymeric nanocomposites, liposomes and SLNs have demonstrated a five-fold enhancement of transdermal flux and an extended insulin effect in preclinical models. The addition of ionic liquids and polymeric nanogels leads to an additional increase in insulin aqueous solubility and permeation, resulting from the temporary regulation of stratum corneum lipid organization. Bright and stimuli-responsive patches with glucose oxidase or phenylboronic acid functional groups enable regulated insulin delivery in response to changes in blood glucose, demonstrating near-normoglycemia for up to 48 h in animal testing. Nanocomposite systems assisted by microneedles have also been advanced to the early clinical phase, offering enhanced reproducibility of their pharmacokinetics and a low risk of dermal irritation. Despite these encouraging results, several translational challenges remain, such as biocompatibility, repeatability in the production of nanocarriers, long-term stability of formulations and regulatory standardization. This review examines the physicochemical design principles, materials innovations and permeation mechanism of nanomedicine-engineered insulin patches, the current state of preclinical and clinical advancements, challenges in production and future perspectives in viable patient-focused transdermal insulin delivery. Full article

Background: Fetuin (Ft) is the most abundant protein in fetal bovine serum (FBS) and is considered one of its essential components. This acidic glycoprotein plays a key role in cell adhesion and proliferation and is vital for maintaining in vitro cultures of animal and human cells, tissues, and organs. FBS is a natural source for Ft purification. However, the high demand for FBS as a standard reagent in cell culture severely limits its availability for use as a raw material for protein purification. Furthermore, the industrial production of FBS results in a significant amount of contaminated FBS. This contaminated fraction can thus be utilized for Ft recovery. Methods: In this work, we present a novel method for Ft recovery from FBS using a single chromatographic step based on anion exchange chromatography under acidic conditions. Results: Optimal adsorption conditions for Ft were studied using response surface methodology (RSM), which suggested a buffer pH of 4.2 and an FBS dilution of 40%. However, increasing the pH to 5 resulted in a 28% increase in Ft recovery, although with a slight reduction in Ft purity to 88%. A scale-up to half a liter of FBS was performed using a 400 mL column. A single-step elution with 0.3 M NaCl was employed, yielding an Ft recovery of 90% with a purity greater than 82%. Conclusions: The purified Ft demonstrated biological activity as a growth promoter in MDBK cell culture when utilized in a serum-free culture medium. Full article

Background/Objective: Effective topical delivery of 4-phenylbutyric acid (4-PBA) for arsenical vesicant-induced skin injury requires nanocarrier systems that maintain physicochemical and chemical stability during extended storage. This study systematically evaluated the six-month stability of five 4-PBA-loaded micro/nanoparticulate formulations—chitosan nanoparticles (N31, N35), emulsomes (E2), microsponges (MSs), and PLGA nanoparticles (P1)—to identify lead candidates suitable for field deployment and foam integration. Methods: Formulations were subjected to ICH-accelerated stability testing at 25 °C/60% RH and 40 °C/75% RH, with monthly evaluation of particle size, polydispersity index, zeta potential, drug content by HPLC, and chemical/thermal stability by FTIR and DSC. Results: N31 demonstrated superior colloidal stability, maintaining particle size within acceptable limits at both conditions despite progressive surface charge neutralization. E2 showed consistent drug content retention and preserved chemical integrity, though moderate vesicle fusion occurred. MS underwent complete physical degradation at 40 °C within the first month, while P1 exhibited hydrolytic degradation with substantial drug loss. N35 showed severe aggregation indicating colloidal instability. Conclusions: N31 and E2 emerged as lead candidates: N31 is recommended for field deployment where environmental control is limited, while E2 is suitable for controlled storage settings prioritizing drug loading capacity. Full article

There is a growing global demand for cost-effective alternatives to high-priced biologic therapies, which has significantly accelerated the development of biosimilars and positioned them as sustainable and affordable treatment options. Biosimilars include therapeutic products such as monoclonal antibodies, soluble receptors, growth factors, and hormones that demonstrate comparable efficacy, safety, and quality to their reference biologics. By providing lower-cost alternatives, biosimilars play a vital role in bridging the affordability gap and expanding patient access to essential, life-saving treatments, particularly in low- and middle-income countries. This review focuses on current Good Manufacturing Practices (cGMPs) in biosimilar development, highlighting critical processes such as cell line engineering, glycosylation optimization, and bioprocess refinement aimed at improving cell culture productivity and product yield while ensuring consistent safety, efficacy, and quality across production batches. Advances in biotechnology, especially in proteomics and advanced analytical characterization, have improved understanding of cellular mechanisms influencing product quality and strengthened comparability with reference biologics. These scientific innovations have enhanced regulatory and clinical confidence, supporting wider acceptance and use amongst patients. In addition, this review examines the evolving global regulatory landscape governing biosimilars and its role in reducing development timelines and costs. Together, scientific innovation, standardized manufacturing practices, and harmonized regulatory frameworks foster competition, accelerate market entry, and ultimately help bridge the gap between innovation and affordability, ensuring equitable and sustainable global access to advanced biologic therapies. Full article

Dry eye disease is a common condition in which tear production or quality is insufficient to lubricate the eyes properly. Standard treatment usually involves lubricating eye drops. In this study, we assessed the human health risks, including both non-carcinogenic and carcinogenic effects, associated with long-term exposure to the chemical elements arsenic (As), cadmium (Cd), cobalt (Co), iron (Fe), nickel (Ni), lead (Pb), and zinc (Zn) in eye drops used in Brazil. The results indicated that the Co concentration (1.1048 mg/kg) in the eye drops sample 5 exceeded the limit established by the ICH Q3D (R2) guideline for parenteral products (0.5000 mg/kg). Additionally, As levels in eye drop samples 2, 8–10, 12, 13, and 16, as well as Cd levels in samples 2, 3, 8–10, and 12, exceeded the limits established by the Brazilian Pharmacopoeia for parenteral administration (0.0500–0.0532 mg/kg). The main health risk appears to come from oral exposure, as the drug can drain into the nasal cavity via the nasolacrimal duct and then be absorbed through the gastrointestinal tract. While none of the tested eye drops posed non-carcinogenic risks, carcinogenic risks from oral exposure to As and Cd were identified, with overall risk levels exceeding acceptable thresholds. These findings emphasize the need for strict regulation and continuous monitoring of these products to reduce health risks and prevent long-term damage. Full article

Medicine is accelerating rapidly, offering the advantages of site-specific delivery, minimized side effects, and improved treatment outcomes. A diverse array of chronic diseases, such as cancer, diabetes, asthma, myocardial infarction, and Alzheimer’s disease, are often accompanied by severe adverse effects and limited specificity, necessitating concentrated attention on targeted therapies. Recent advancements in molecular profiling and understanding of target pathways have enabled the identification of specific biomarkers and gene targets. These advancements have led to the development of targeted therapies that focus on the specific molecular alterations responsible for disease progression. Such therapies offer a more personalized and effective approach to treatment. This review focuses on the benefits of targeted therapies compared to traditional therapeutics and provides an overview of currently available targeted therapies for chronic diseases. By highlighting these advancements, the review aims to illustrate the progress in disease treatment towards more personalized approaches. The goal is to underscore how targeted therapies have evolved and how they represent a significant shift towards personalized therapy. Full article

Lecythidaceae species are known worldwide for their ability to produce edible nuts of high nutritional value, such as Brazil nuts, and are also used in traditional medicine in countries across America, Asia, and Africa. The potential of these species has aroused interest in their chemical composition, nutritional properties, and biological activities, with emphasis on anti-inflammatory and antinociceptive actions. The objective of this review was to summarize data regarding the anti-inflammatory and antinociceptive activities of Lecythidaceae species, identify the most promising bioactive agents, and elucidate their potential mechanisms of action. This integrative review was conducted by comprehensively searching the main electronic databases for scientific articles, with no restriction on publication date, that were available in full. Based on this survey, thirty-four articles were identified, covering twelve Lecythidaceae species with anti-inflammatory and antinociceptive actions evaluated in in vitro and in vivo models and randomized clinical trials. Studies encompass extracts, fractions, nuts, and isolated compounds, among which the extracts and fractions of Barringtonia angusta Kurz, Couroupita guianensis Aubl., Lecythis pisonis Cambess., and Petersianthus macrocarpus (P. Beauv.) Liben demonstrated potent inhibition of inflammatory mediators through suppression of gene expression in vitro and in vivo, acting via blockade of the nuclear factor kappa-light-chain-enhancer of activated B cells (KN-κB) signaling pathway. This finding highlights a relevant molecular mechanism by which Lecythidaceae species may exert their anti-inflammatory potential and supports further studies focused on isolating active fractions and elucidating possible synergistic effects. Ethnopharmacological and chemical composition data are also presented and discussed within the scope of their biological applications, highlighting the therapeutic potential of Lecythidaceae species and identifying promising candidates for future development of novel anti-inflammatory phytopharmaceuticals. Full article

The design and development of a robust and consistent manufacturing process for monoclonal antibodies (mAbs), augmented by advanced process analytics capabilities, is a key current focus area in the pharmaceutical industry. In this work, we describe the development and operationalization of multivariate statistical process monitoring (MSPM), a data-driven modelling approach, to monitor biopharmaceutical manufacturing processes. This approach helps in understanding the correlations between the various variables and is used for the detection of the deviations and anomalies that may indicate abnormalities or changes in the process compared to the historical dataspace. Therefore, MSPM enables early fault detection with a scope for preventative intervention and corrective actions. In this work, we will additionally cover the value of in silico data in the development of MSPM models, principal component analysis (PCA), and batch modelling methods, as well as refining and validating the models in real time. Full article

Dry eye disease (DED) is a multifactorial ocular surface disorder that significantly affects vision and quality of life. While artificial tears are the standard first-line therapy, their effectiveness is limited by the complex pathophysiology of DED. This study evaluated DayDrop^® Triple Action, a novel formulation combining hyaluronic acid (HA), ectoine, and carboxymethylcellulose (CMC), designed to enhance tear film stability and ocular surface protection. Physicochemical and rheological properties were assessed, including viscosity, pseudoplasticity, and viscoelastic behaviour under dynamic conditions, along with ectoine release over 24 h. An in vitro allergic conjunctivitis model using conjunctival fibroblasts exposed to a pro-allergic cytokine cocktail was employed to examine immunomodulatory effects. DayDrop^® Triple Action demonstrated high viscosity with pronounced pseudoplasticity and stable viscoelasticity, supporting improved mucoadhesion. The formulation provided sustained ectoine release and exhibited a positive immunomodulatory effect, likely linked to ectoine’s preferential hydration mechanism, which stabilizes membranes and reduces inflammatory signalling. These findings suggest that DayDrop^® Triple Action integrates viscoelastic optimization, osmoprotection, and targeted anti-inflammatory action, offering a promising non-pharmacological strategy for managing DED and allergic ocular surface disorders. Full article

The growing threat of Antimicrobial Resistance (AMR) demands innovative drug discovery, yet conventional 2D cell cultures fail to accurately mimic in vivo conditions, leading to high failure rates in preclinical studies. This review addresses the critical need for more physiologically relevant platforms by exploring recent advancements in bioengineered 3D tissue models for studying bacterial pathogenesis and antimicrobial drug discovery. We conducted a systematic search of peer-reviewed articles from 2015 to 2025 across PubMed, Scopus, and Web of Science, focusing on studies that used 3D models to investigate host–pathogen interactions or antimicrobial screening. Data on model types, biomaterials, fabrication techniques, and key findings were systematically charted to provide a comprehensive overview. Our findings reveal that a diverse range of biomaterials, including biopolymers and synthetic polymers, combined with advanced techniques like 3D bioprinting, are effectively used to create sophisticated tissue scaffolds. While these 3D models demonstrate clear superiority in mimicking biofilm properties and complex host–pathogen dynamics, our analysis identified a significant research gap: very few studies directly integrate these advanced bioengineered 3D models for high-throughput antimicrobial drug discovery. In conclusion, this review highlights the urgent need to bridge this disparity through increased research, standardization, and scalability in this critical interdisciplinary field, with the ultimate goal of accelerating the development of new therapeutics to combat AMR. Full article

Evaluating power consumption in stirred media mills over a wide range of process parameters is crucial for analyzing breakage kinetics and milling efficiency. Despite considerable research efforts, existing models predominantly rely on power-law approaches and fail to provide a holistic understanding of the relationship between process parameters and power consumption. The aim of this study is to introduce a new mathematical model that accurately captures this relationship, across all bead filling ratios (φ), using dimensionless numbers including power number (Ne) and Reynolds number (Re). First, we considered experimental data from literature and discriminated various models to correlate either Ne or Re separately for each φ (Class 1 models) or Ne to Re–φ simultaneously (Class 2 models). The best performing model (Model 2.6 with SSR = 36.71, RMSE = 0.591, R² = 0.99) was subsequently applied to a new set of experimental data, confirming that this model is highly robust and reliable across various conditions. To the best of our knowledge, in stirred media mill research, this work is the first to show that a simple four-parameter nonlinear model provides a robust fit for Ne data across varying rotor Re (200 to 1 × 10⁶) and bead filling ratios (0.35–0.90). Full article

Current estimates suggest that Africa contains about 14% of the world’s population and accounts for 20% of the global burden of disease. Yet, it accounts for a mere 3% of clinical trials globally. The time is ripe—even overdue—for determining how best to direct future health research efforts. In response, a call has been heard for a continent-wide Africa-centric research ethics framework to redirect health research in Africa, as well as address the health research ethics malpractices that have violated the rights, dignity and well-being of participating African communities. Nevertheless, we should remain aware of what already exists and what continues to be of value. Creating parallel frameworks risks fragmentation of research, increased costs in having to meet differing requirements and delayed access of patients to new treatments. Existing international consensus documents which have evolved and been fine-tuned over time, offer guidance for ensuring ethical instigation and management of health research. The Declaration of Helsinki enunciates clear principles for ensuring the ethical conduct of clinical research, while CIOMS’ 2016 International Ethical Guidelines for Health-related Research involving Humans offer guidance for implementing these principles. It is failure to apply existing ethical principles and guidance—and not any perceived inadequacy of those principles—that has resulted in sub-optimal protection of African research participants. Full article

Background: Off-label nebulization of tranexamic acid (TXA) solution is common practice for the treatment of hemoptysis. However, data regarding nebulization protocols, resulting aerodynamic parameters of the generated aerosol, and corresponding biopharmaceutical parameters are missing. The aim of this in vitro study was to investigate the aerosol characteristics of nebulized sterile, aqueous TXA solution. Methods: TXA solution 100 mg/mL was nebulized for 2 min by a multi-dose vibrating mesh nebulizer using 15 L/min and 30 L/min air flow rates. The generated aerosol was analyzed by a Next Generation Cascade Impactor. For each air flow rate, the mean Fine Particle Dose (FPD), Fine Particle Fraction (FPF), the Mass Median Aerodynamic Diameter (MMAD), and Geometric Standard Deviation (GSD) were quantified. Results: Nebulization at 15 L/min air flow rate resulted in a MMAD of 6.68 ± 0.23 µm and GSD of 2.02 ± 0.16. The FPD < 5 µm was 16.56 ± 0.45 mg, the FPF < 5 µm 28.91 ± 3.40%. Nebulization at 30 L/min air flow rate revealed a MMAD of 5.18 ± 0.12 µm and GSD of 2.14 ± 0.10. The FPD < 5 µm was 16.30 ± 1.38 mg, the FPF < 5 µm 35.43 ± 0.59%. Conclusions: Nebulization of TXA 100 mg/mL solution by a specified vibrating mesh nebulizer generated an aerosol particle distribution and deposition pattern suitable for the treatment of hemoptysis with bronchial origin. Full article

Developing a new drug costs approximately one to three billion dollars and takes around ten years; however, this process has only a ten percent success rate. To address this issue, new technologies that combine artificial intelligence (AI) and quantum computing can be leveraged in the pharmaceutical industry. The RSA cryptographic algorithm, developed by Rivest, Shamir, and Adleman in 1977, is one of the most widely used public-key encryption schemes in modern digital security. Its security foundation lies in the computational difficulty of factoring the product of two large prime numbers, a problem considered intractable for classical computers when the key size is sufficiently large (e.g., 2048 bits or more). A future application of using a detailed structural model of a protein is that digital drug design can be used to predict potential drug candidates, thereby reducing or eliminating the need for time-consuming laboratory and animal testing. Knowing the molecular structure of a possible candidate drug can provide insights into how drugs interact with targets at an atomic level, at significantly lower expenditures, and with maximum effectiveness. AI and quantum computers can rapidly screen out potential new drug candidates, determine the toxicity level of a known drug, and eliminate drugs with high toxicity at the beginning of the drug development phase, thereby avoiding expensive laboratory and animal testing. The Food and Drug Administration (FDA) and other regulatory bodies are increasingly supporting the use of in silico to in vitro/in vivo validation methods and assessments of drug safety and efficacy. Full article