Advanced Management of Diabetic Foot Ulcers: Current Evidence, Emerging Therapies, and Future Perspectives

Advanced Management of Diabetic Foot Ulcers: Current Evidence, Emerging Therapies, and Future Perspectives

๐Ÿ“˜ : Nexus Global Research Journal of Pharmaceutical Sciences (NGRJPS) Volume 1, Issue 2, 2026 (Page : 60-63)

ABSTRACT:

Diabetic foot ulcers (DFUs) remain one of the most complex and costly complications of diabetes mellitus, characterized by impaired wound healing, high infection rates, and significant risk of lower extremity amputation. Despite standard care protocols, clinical outcomes remain suboptimal, necessitating the integration of advanced therapeutic strategies. This review critically evaluates contemporary evidence on advanced DFU management, including biomaterial-based dressings, negative pressure wound therapy, revascularization strategies, antimicrobial innovations, and regenerative medicine approaches such as stem cell therapy and platelet-rich plasma. Additionally, emerging technologies including artificial intelligence and smart wound monitoring systems are discussed. The review emphasizes a precision medicine framework and multidisciplinary care model as essential for optimizing outcomes and reducing global disease burden.

Keywords: Diabetic foot ulcer, advanced wound care, regenerative medicine, NPWT, angiogenesis, precision medicine

Recent Developments in Nanomedicine: A Focus on Drug Delivery

Recent Developments in Nanomedicine: A Focus on Drug Delivery

๐Ÿชช : DOI:ย 10.5281/zenodo.18986524

๐Ÿ“˜ : Nexus Global Research Journal of Pharmaceutical Sciences (NGRJPS) Volume 1, Issue 1, 2026 (Page : 01-09)

ABSTRACT:

Artificial intelligence systems in current times experience severe ethical problems which include algorithmic bias issues and accountability problems and fairness issues that depend on Western utilitarian frameworks. The chapter introduces a new model which combines Indian ethical standards with dharma and karma to govern algorithmic decision-making systems. Dharma-based frameworks define righteous behavior through three principles which include contextual righteousness and relational duties and cosmic order (Rta) as their core values. The chapter uses conceptual analysis and case studies from healthcare and justice systems to show how dharma provides moral guidance for ethical AI design while karma theory establishes strong accountability systems through its tracking of actions and their corresponding results. The analysis shows that dharma-driven methods to problem-solving improve Western methods because they support multiple cultural traditions and specific situations and ongoing effects on society. The integration of Indian Knowledge Systems with contemporary AI governance creates a pathway that enables development of algorithmic systems which respect different knowledge systems while maintaining ethical standards and supporting technological progress.

Keywords: Nanomedicine, Drug Delivery Systems, Nanoparticles, Targeted Therapy, Bioavailability Enhancement

Optimization of Polyherbal Extraction of Gymnema sylvestre, Momordica charantia, and Syzygium cumini for Antidiabetic Phytoconstituents Using Maceration Technique and Evaluation of ฮฑ-Glucosidase Inhibitory Activity

Optimization of Polyherbal Extraction of Gymnema sylvestre, Momordica charantia, and Syzygium cumini for Antidiabetic Phytoconstituents Using Maceration Technique and Evaluation of ฮฑ-Glucosidase Inhibitory Activity

๐Ÿ“˜ : Nexus Global Research Journal of Pharmaceutical Sciences (NGRJPS) Volume 1, Issue 1, 2026 (Page : 10-21)

ABSTRACT:

Diabetes mellitus is a chronic metabolic disorder characterized by persistent hyperglycemia due to defects in insulin secretion or insulin resistance. The prevalence of diabetes is increasing globally, particularly in developing countries, leading to severe complications such as cardiovascular diseases, neuropathy, nephropathy, and retinopathy. Herbal medicines have gained significant importance in the management of diabetes due to their safety, availability, and minimal side effects compared to synthetic drugs. The present study focuses on the optimization of polyherbal extraction of Gymnema sylvestre, Momordica charantia, and Syzygium cumini using the maceration technique for the isolation of antidiabetic phytoconstituents. The powdered plant materials were combined in equal proportions and subjected to maceration using hydroalcoholic solvent for 72 hours. The obtained extract was filtered, concentrated, and evaluated for extraction yield and phytochemical constituents. Preliminary phytochemical screening revealed the presence of alkaloids, flavonoids, tannins, saponins, and glycosides, which are known for their antidiabetic properties. The antidiabetic potential of the polyherbal extract was evaluated using the yeast ฮฑ-glucosidase inhibitory assay. The extract showed concentration-dependent inhibition of the enzyme, indicating its potential to control postprandial hyperglycemia. The findings of the study suggest that the optimized polyherbal extract possesses significant ฮฑ-glucosidase inhibitory activity and may serve as a potential natural therapeutic agent for the management of diabetes mellitus. Further pharmacological and clinical studies are required to confirm its efficacy and safety.

Keywords: Polyherbal extract, Maceration technique, Gymnema sylvestre, Momordica charantia, Syzygium cumini, ฮฑGlucosidase inhibition, Antidiabetic activity.

Information Seeking Behavior of Pharmacy Students in Academic Libraries: A Comprehensive Review

Information Seeking Behavior of Pharmacy Students in Academic Libraries: A Comprehensive Review

๐Ÿ“˜ : Nexus Global Research Journal of Pharmaceutical Sciences (NGRJPS) Volume 1, Issue 1, 2026 (Page : 22-33)

ABSTRACT:

Information seeking behavior (ISB) is a fundamental component in the academic and professional development of pharmacy students, as it directly influences their ability to access, evaluate, and apply relevant scientific and clinical information. In the modern academic environment, where information is rapidly expanding and increasingly digitized, understanding how students interact with information systems has become crucial for educators, librarians, and policymakers. This review aims to critically analyze the information seeking behavior of pharmacy students within academic libraries, focusing on their information needs, preferred sources, search strategies, and the challenges they encounter during the information retrieval process. The study is based on a comprehensive review of scholarly literature retrieved from major databases such as Scopus, PubMed, ScienceDirect, and Google Scholar. Emphasis is placed on studies published between 2015 and 2025 to ensure contemporary relevance. The findings reveal a significant shift in user behavior from traditional print-based resources to digital platforms, including electronic journals, bibliographic databases, and web-based search engines. Pharmacy students demonstrate a strong preference for easily accessible and time-efficient information sources, often relying on general search engines as their primary tools. However, despite the availability of advanced digital resources, many students lack the necessary information literacy skills required to effectively navigate and utilize these tools. The review also identifies several barriers affecting information seeking behavior, including information overload, inadequate search skills, limited awareness of library services, and technological constraints. Furthermore, the evolving role of academic libraries is highlighted, emphasizing their transition from traditional repositories to dynamic, user-centered knowledge hubs that provide digital access, training, and research support. The study concludes that enhancing information literacy, improving digital infrastructure, and adopting user-centered library services are essential strategies for optimizing information seeking behavior among pharmacy students. These improvements will ultimately contribute to better academic performance and the development of competent healthcare professionals.

Keywords: Information Seeking Behavior, Pharmacy Students, Academic Libraries, Information Literacy, Digital Resources, Evidence-Based Practice

AI in Drug Discovery: From Target Identification to Lead Optimization

AI in Drug Discovery: From Target Identification to Lead Optimization

๐Ÿ“˜ : Nexus Global Research Journal of Pharmaceutical Sciences (NGRJPS) Volume 1, Issue 1, 2026 (Page : 34-44)

ABSTRACT:

Artificial Intelligence (AI) has emerged as a transformative force in drug discovery, addressing the limitations of traditional pharmaceutical research, including high costs, long timelines, and low success rates. By leveraging machine learning, deep learning, natural language processing, and generative models, AI enables efficient analysis of vast biomedical datasets and accelerates decision-making processes. This review provides a comprehensive overview of AI applications across the drug discovery pipeline, from target identification to lead optimization. It highlights computational techniques, real-world case studies, tools, and challenges associated with AI integration. Additionally, future perspectives on AI-driven personalized medicine and autonomous drug design systems are discussed. AI-driven innovations are poised to significantly reshape the pharmaceutical industry by improving efficiency, reducing attrition rates, and enabling precision therapeutics. [1โ€“3]

Keywords: Artificial Intelligence, Drug Discovery, Machine Learning, Deep Learning, Target Identification, Lead Optimization, ADMET, Computational Pharmacology [4โ€“6]

AI-Powered Chatbots for Efficient Pharmacy Information Assistance in Library Systems

AI-Powered Chatbots for Efficient Pharmacy Information Assistance in Library Systems

๐Ÿ“˜ : Nexus Global Research Journal of Pharmaceutical Sciences (NGRJPS) Volume 1, Issue 2, 2026 (Page : 50-59)

ABSTRACT:

Artificial Intelligence (AI)-powered chatbots are transforming the landscape of information retrieval and user assistance in modern library systems, particularly in the domain of pharmacy education and research. These intelligent systems leverage natural language processing, machine learning, and knowledge-based frameworks to provide accurate, real-time responses to user queries. In pharmacy libraries, where access to updated drug information, clinical data, and research literature is crit ical, AI chatbots enhance efficiency, accessibility, and user engagement. They reduce the workload of librarians while ensuring continuous availability of services. This review explores the architecture, applications, benefits, challenges, and future potential of AI-powered chatbots in pharmacy library systems. The study also highlights their role in improving pharmaceutical education, supporting evidence-based practice, and facilitating drug information services.

Keywords: Artificial Intelligence, Chatbots, Pharmacy Libraries, Information Systems, Drug Information Services, Machine Learning, Natural Language Processing

Comprehensive Pharmacological Study of Moringa oleifera: Anti-Diabetic and Anti-Cancer Potential

Comprehensive Pharmacological Study of Moringa oleifera: Anti-Diabetic and Anti-Cancer Potential

๐Ÿ“˜ : Nexus Global Research Journal of Pharmaceutical Sciences (NGRJPS) Volume 1, Issue 1, 2026ย  (Page : 45-49)

ABSTRACT:

Moringa oleifera is a well-known medicinal plant recognized for its diverse pharmacological activities, particularly in the management of metabolic and proliferative disorders. The present study investigates its anti-diabetic and anti-cancer potential using in vitro models. The anti-diabetic activity was evaluated through the ฮฑ-amylase inhibition assay, which measures the ability of the plant extract to inhibit carbohydrate-hydrolyzing enzymes and thereby reduce postprandial hyperglycemia. The ethanolic extract of Moringa oleifera leaves exhibited significant enzyme inhibition, reaching up to 78% at higher concentrations, indicating strong hypoglycemic potential. The anti-cancer activity was assessed using the MTT assay on MCF-7 human breast cancer cell lines. The extract demonstrated dose-dependent cytotoxicity, with a notable decrease in cell viability and an ICโ‚…โ‚€ value of approximately 55 ยตg/mL, suggesting moderate anticancer efficacy. Phytochemical screening revealed the presence of bioactive compounds such as flavonoids, alkaloids, phenolics, tannins, and saponins, which are known to contribute to antioxidant, enzyme inhibitory, and apoptosis inducing properties. The dual activity observed may be attributed to the synergistic action of these phytoconstituents, which target common pathways such as oxidative stress and inflammation involved in both diabetes and cancer. These findings support the potential of Moringa oleifera as a natural, cost-effective therapeutic agent. However, further in vivo studies and clinical trials are required to validate its safety, efficacy, and mechanism of action for pharmaceutical applications [1-8,22,29].

Keywords: Moringa Oleifera, ฮ‘-Amylase Inhibition, MTT Assay, Anti-Diabetic, Anti-Cancer, Phytochemicals [3]