Search Results (170)

Diabetes mellitus, particularly type 2 diabetes mellitus (T2DM), represents a rapidly expanding global health challenge with substantial public health and economic consequences. Recent advances in antidiabetic therapy—including dipeptidyl peptidase-4 (DPP-4) inhibitors, glucagon-like peptide-1 receptor agonists (GLP-1 RAs), dual GIP/GLP-1 receptor agonists, and sodium–glucose cotransporter-2 (SGLT-2) inhibitors—have transformed diabetes management by providing benefits beyond glycemic control, such as cardiovascular and renal protection, weight reduction, and improved quality of life. As the therapeutic landscape becomes increasingly complex and patient-centered, ensuring the safe and effective use of these agents in real-world settings has emerged as a key concern for pharmacoepidemiology and pharmacovigilance. Community pharmacists, as highly accessible healthcare professionals, play an expanding role in diabetes care through medication optimization, patient education, adherence support, and monitoring of adverse drug reactions in primary care. Evidence from systematic reviews and meta-analyses indicates that pharmacist-led interventions improve glycemic outcomes, enhance self-care behaviors, and facilitate the appropriate adoption of contemporary antidiabetic therapies. This narrative review synthesizes current evidence on novel pharmacological treatments for T2DM and examines the evolving contribution of community pharmacists in translating therapeutic innovation into routine practice. Barriers to implementation and future perspectives for integrating pharmacist-led services into diabetes management and pharmacovigilance frameworks are also discussed. Full article

Background: The year 2025 witnessed paradigm-shifting advances in gynecologic oncology, with pivotal clinical trial results redefining therapeutic standards across cervical, ovarian, endometrial, and vulvar cancers. Objectives: This systematic review aimed to comprehensively identify, synthesize, and critically evaluate pivotal phase II and III randomized controlled trials and major studies presented at the major annual meetings, alongside significant peer-reviewed publications from 2025 that introduce innovative therapeutic strategies across gynecologic malignancies. Methods: Conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, this review involved exhaustive searches of electronic databases (PubMed/MEDLINE, Embase), conference proceedings (ASCO 2025, ESMO 2025), and major oncology journals for records from January to December 2025. Inclusion criteria encompassed: (1) Phase II or III randomized controlled trials (RCTs) and (2) Non-randomized studies (including phase I and II trials), reporting on novel therapeutic approaches in gynecologic oncology. All studies were required to report primary survival endpoints (overall survival or progression-free survival) or key efficacy outcomes. Study selection, data extraction, and methodological quality assessment were performed independently by two reviewers, with disagreements resolved through consensus or third-party adjudication. Results: From 1842 records, 23 studies met inclusion criteria (17 phase-III RCTs and 6 non-phase III RCTs/early-phase studies), distributed as follows: cervical cancer (9 studies, 39%), ovarian cancer (9 studies, 39%), endometrial cancer (4 studies, 17.5%), and vulvar cancer (1 study, 4.5%). The major advances identified include: (1) In cervical cancer, the KEYNOTE-A18 trial established pembrolizumab combined with chemoradiotherapy as a new standard for high-risk locally advanced disease, while the PHENIX trial validated sentinel lymph node biopsy as a safe surgical de-escalation strategy. (2) In ovarian cancer, the ENGOT-ov65/KEYNOTE-B96 trial demonstrated the first statistically significant overall survival improvement with an immune checkpoint inhibitor in platinum-resistant recurrent disease, establishing pembrolizumab plus weekly paclitaxel as a new standard of care. Novel therapeutic mechanisms, including glucocorticoid receptor modulation (ROSELLA trial) and cadherin-6-targeted antibody-drug conjugates (REJOICE-Ovarian01), showed remarkable efficacy. (3) In endometrial cancer, updated analyses from NRG GY018 and RUBY trials solidified the role of first-line immuno-chemotherapy, with differential benefits according to mismatch repair status. (4) In vulvar cancer, a pivotal phase II study demonstrated meaningful clinical activity of anti-PD-1 therapy in advanced disease. (5) The extensive circulating tumor DNA analysis from the CALLA trial provided crucial insights into biomarker dynamics in cervical cancer. Conclusions: The convergence of high-impact data from 2025 established multiple new standards of care, emphasizing biomarker-driven approaches, immunotherapy integration across disease stages, and novel mechanisms to overcome resistance, while highlighting challenges in treatment sequencing and global access. Full article

In 2025, the U.S. Food and Drug Administration (FDA) approved 44 new drugs, reflecting a slight decrease compared to previous years but maintaining the overall trends in pharmaceutical innovation. Biologics accounted for 25% of approvals, including nine monoclonal antibodies (mAbs), two antibody–drug conjugates (ADCs), and one fusion protein, with cancer remaining the primary therapeutic focus. TIDES, comprising three oligonucleotides and one peptide, continued to consolidate their presence in the market, with the three oligonucleotides featuring N-acetylgalactosamine (GalNAc) for liver-targeted delivery. Small molecules dominate the remainder, with a high prevalence of N-aromatic moieties and fluorine atoms present in most of the molecules. Peptide manufacturing and sustainability concerns, including PFAS usage, remain key challenges. Despite these advances, the high cost of innovative therapies limits access, particularly in low- and middle-income countries. This report provides a structural and chemical analysis of the newly approved drugs, highlighting trends in molecular design, therapeutic areas, and technological innovations shaping modern drug discovery. Full article

Skin cancer (SC) is the most prevalent malignancy worldwide, with subtypes varying in aggressiveness: basal cell carcinoma tends to be locally invasive, squamous cell carcinoma has a higher metastatic risk, and melanoma remains the deadliest form. Current treatments such as surgery, radiotherapy, and systemic chemotherapy are associated with aesthetic and functional morbidity, recurrence, and/or systemic toxicity. Although targeted therapies and immunotherapies offer clinical benefits, their high cost and limited accessibility underscore the need for innovative, affordable alternatives. Metal-based compounds (metallopharmaceuticals) are promising anticancer agents due to their ability to induce oxidative stress, modulate redox pathways, and interact with DNA. However, clinical translation has been limited by poor aqueous solubility, rapid degradation, and low skin permeability. This review discusses the most recent preclinical findings on gold, silver, platinum, palladium, ruthenium, vanadium, and copper complexes, mainly in topical and systemic treatments of SC. Advances in chemical and physical enhancers, such as hydrogels and microneedles, and in drug delivery systems, including bacterial nanocellulose membranes and nanoparticles, as well as liposomes and micelles, for enhancing skin permeation and protecting the integrity of metal complexes are also discussed. Additionally, we examine the contribution of photodynamic therapy to SC treatment and the use of mathematical and computational modeling to simulate skin drug transport, predict biodistribution, and support rational nanocarrier design. Altogether, these strategies aim to bridge the gap between physicochemical innovation and clinical applicability, paving the way for more selective, stable, and cost-effective SC treatments. Full article

Background: Solid organ transplantation (SOT) is a life-saving treatment for patients with end-stage diseases and/or organ failure. However, access to healthy organs is often limited by challenges in organ preservation. Furthermore, upon transplantation, ischemia–reperfusion injury (IRI) can lead to increased organ rejection or graft failures. The work presented aims to address both challenges using an innovative nanomedicine platform for simultaneous drug and oxygen delivery. In recent studies, resveratrol (RSV), a natural antioxidant, anti-inflammatory, and reactive oxygen species (ROS) scavenging agent, has been reported to protect against IRI by inhibiting ferroptosis. Here, we report the design, development, and scalable manufacturing of the first-in-class dual-function perfluorocarbon-nanoemulsion (PFC-NE) perfusate for simultaneous oxygen and antioxidant delivery, equipped with a near-infrared fluorescence (NIRF) reporter, longitudinal, non-invasive NIRF imaging of perfusate flow through organs/tissues during machine perfusion. Methods: A Quality-by-Design (QbD)-guided optimization was used to formulate a triphasic PFC-NE with 30% w/v perfluorooctyl bromide (PFOB). Drug-free perfluorocarbon nanoemulsions (DF-NEs) and RSV-loaded nanoemulsions (RSV-NEs) were produced at 250–1000 mL scales using M110S, LM20, and M110P microfluidizers. Colloidal attributes, fluorescence stability, drug loading, and RSV release were evaluated using DLS, NIRF imaging, and HPLC, respectively. PFC-NE oxygen loading and release kinetics were evaluated during perfusion through the BMI OrganBank^® machine with the MEDOS HILITE^® oxygenator and by controlled flow of oxygen. The in vitro antioxidant activity of RSV-NE was measured using the oxygen radical scavenging antioxidant capacity (ORAC) assay. The cytotoxicity and ferroptosis inhibition of RSV-NE were evaluated in RAW 264.7 macrophages. Results: PFC-NE batches maintained a consistent droplet size (90–110 nm) and low polydispersity index (<0.3) across all scales, with high reproducibility and >80% PFOB loading. Both DF-NE and RSV-NE maintained colloidal and fluorescence stability under centrifugation, serum exposure at body temperature, filtration, 3-month storage, and oxygenation. Furthermore, RSV-NE showed high drug loading and sustained release (63.37 ± 2.48% at day 5) compared with the rapid release observed in free RSV solution. In perfusion studies, the oxygenation capacity of PFC-NE consistently exceeded that of University of Wisconsin (UW) solution and demonstrated stable, linear gas responsiveness across flow rates and FiO₂ (fraction of inspired oxygen) inputs. RSV-NE displayed strong antioxidant activity and concentration-dependent inhibition of free radicals. RSV-NE maintained higher cell viability and prevented RAS-selective lethal compound 3 (RSL3)-induced ferroptosis in murine macrophages (macrophage cell line RAW 264.7), compared to the free RSV solution. Morphological and functional protection against RSL3-induced ferroptosis was confirmed microscopically. Conclusions: This study establishes a robust and scalable PFC-NE platform integrating antioxidant and oxygen delivery, along with NIRF-based non-invasive live monitoring of organ perfusion during machine-supported preservation. These combined features position PFC-NE as a promising next-generation acellular perfusate for preventing IRI and improving graft viability during ex vivo machine perfusion. Full article

The discovery and development of new drugs is a lengthy, complex, and costly process, often requiring 10–20 years to progress from initial concept to market approval, with clinical trials representing the most resource-intensive stage. In recent years, Artificial Intelligence (AI) has emerged as a transformative technology capable of reshaping the entire pharmaceutical research and development (R&D) pipeline. The purpose of this narrative review is to examine the role of AI in drug discovery and development, highlighting its contributions, challenges, and future implications for pharmaceutical sciences and global public health. A comprehensive review of the scientific literature was conducted, focusing on published studies, reviews, and reports addressing the application of AI across the stages of drug discovery, preclinical development, clinical trials, and post-marketing surveillance. Key themes were identified, including AI-driven target identification, molecular screening, de novo drug design, predictive toxicity modelling, and clinical monitoring. The reviewed evidence indicates that AI has significantly accelerated drug discovery and development by reducing timeframes, costs, and failure rates. AI-based approaches have enhanced the efficiency of target identification, optimized lead compound selection, improved safety predictions, and supported adaptive clinical trial designs. Collectively, these advances position AI as a catalyst for innovation, particularly in promoting accessible, efficient, and sustainable healthcare solutions. However, substantial challenges remain, including reliance on high-quality and representative biomedical data, limited algorithmic transparency, high implementation costs, regulatory uncertainty, and ethical and legal concerns related to data privacy, bias, and equitable access. In conclusion, AI represents a paradigm shift in pharmaceutical research and drug development, offering unprecedented opportunities to improve efficiency and innovation. Addressing its technical, ethical, and regulatory limitations will be essential to fully realize its potential as a sustainable and globally impactful tool for therapeutic innovation. Full article

Background: Pediatric patients often receive medicines manipulated from adult formulations due to a lack of age-appropriate products. While such practices are clinically routine, they may reflect deeper systemic deficiencies in pediatric pharmacotherapy. Objective: This scoping review aimed to map the prevalence, definitions, and types of pediatric drug manipulation and to conceptualize manipulation as an indicator of structural gaps in formulation science, regulation, and access. Methods: A systematic search of PubMed (January 2014–July 2024) included 10 studies reporting the frequency of drug manipulation in children aged ≤18 years. Eligible studies were synthesized narratively according to PRISMA-ScR guidelines. Results: Ten studies from nine countries were included, reporting manipulation frequencies ranging from 6.4% to 62% of all drug administrations and up to 60% at the patient level. Manipulated formulations most commonly included oral solid doses, altered through dispersing, splitting, or crushing. Definitions and methodologies varied considerably. The findings revealed five recurring structural gaps: limited pediatric formulations, inconsistent regulatory implementation, lack of standardized definitions and guidance, insufficient evidence on manipulation safety, and inequitable access across regions. Conclusion: Manipulation of finished dosage forms for use in children is a widespread, measurable phenomenon reflecting systemic inadequacies in formulation development, regulation, and access. Recognizing manipulation as a structural indicator may guide policy, innovation, and equitable pediatric pharmacotherapy worldwide. Full article

This review examines a small interfering RNA (siRNA) designed for intrathecal (IT) injection, which reduces the formation of amyloid beta precursor protein (APP), a critical factor in the pathology of Alzheimer’s disease (AD). The siRNA, designated ALN-APP, incorporates a 16-carbon chain (C16-siRNA) to enhance its delivery to the central nervous system (CNS) while leveraging advancements in specificity and duration of action based on previously approved drugs by the Food and Drug Administration. The development of ALN-APP involved a comprehensive analysis of the optimal carbon chain length and its conjugation position to the siRNA. Preclinical studies conducted on male Sprague Dawley rats, mice, and non-human primates (NHPs) demonstrated the efficacy of ALN-APP. In rats, an IT injection of C16-siRNAs at a concentration of 30 mg/mL, delivering a dose of 0.9 mg, resulted in cranial distribution via cerebrospinal fluid and led to a 75% reduction in copper-zinc superoxide dismutase 1 (SOD1) mRNA levels. These effects were dose-dependent and persisted for three months across multiple brain regions. Furthermore, studies in NHPs indicated that soluble APP levels were reduced to below 25%, sustained for two months. In the cerebrovascular amyloid Nos2^−/− (CVN) mouse model of AD, administration of 120 µg of siRNA via the intracerebroventricular route produced reductions in APP expression, with mRNA levels remaining suppressed for 60 days in the ventral cortex. Indeed, ALN-APP controlled neuropathology in 5xFAD mice by significantly reducing amyloid levels and brain neuroinflammation, with improved behaviors in the elevated plus maze. Following these promising results in animal models, ALN-APP advanced to a Phase 1 trial, designated ALN-APP-001, which assessed its safety and efficacy in 12 participants with early-onset Alzheimer’s disease (EOAD). Initial findings revealed a 55% reduction in soluble APPα and a 69% reduction in APPβ by day 15. These exploratory findings require further validation with larger cohorts and proper statistical analysis. In a subsequent cohort of 36 patients, administration of the 75 mg dose via IT injection led to mean reductions of 61.3% in soluble APPα (sAPPα) and 73.5% in soluble APPβ (sAPPβ) after one month. These silencing effects persisted for six months and were associated with important decreases in Aβ42 and Aβ40 levels. These results highlight the potential of ALN-APPs to address Alzheimer’s pathology while maintaining a favorable safety profile. Whether ALN-APP succeeds in further clinical trials, key challenges include ensuring accessibility and affordability due to treatment costs, the need for specialized intrathecal administration, and establishing infrastructure for large-scale production of siRNAs. In conclusion, advancements in ALN-APP represent a promising strategy to reduce beta-amyloid formation in AD, with substantial biomarker reductions suggesting potential disease-modifying effects. Continued development may pave the way for innovative treatments for neurodegenerative diseases. Full article

The regulation of new medicine prices must balance financial sustainability with equitable access to innovation. Value-Based Pricing (VBP) strategies seek to align drug prices with their clinical and societal impact. The Pharmaceutical Innovativeness Index (PII) is a transparent and reproducible tool proposed to assess the degree of innovativeness of new medicines, with potential to support pricing decisions within economic regulation frameworks. An exploratory qualitative study was conducted through a focus group study was conducted with experts in health economics and pharmaceutical regulation to evaluate the applicability of the PII and to discuss key domains relevant to the assessment of pharmaceutical innovation. Responses were collected anonymously using an interactive digital platform and analyzed through inductive thematic content analysis. Based on these findings, the research team developed a conceptual pricing model integrating the PII with additional value-based criteria. Two hypothetical case studies were created to explore its practical feasibility. Participants identified Added Therapeutic Value (ATV) and Unmet Therapeutic Need (UTN) as the most relevant domains, while Methodological Quality (MQ) and Study Design (SD) were also recognized as essential to ensure rigor and reduce bias. The PII scores showed strong alignment with expert judgment in the illustrative case studies. The proposed model incorporates international best practices—such as the efficiency frontier approach—and additional dimensions including safety and incremental innovation. Overall, the PII demonstrated potential to enhance transparency, consistency, and regulatory efficiency in drug pricing decisions in Brazil. However, it should currently be regarded as an exploratory framework requiring further empirical validation and regulatory adaptation before implementation. Full article

Drug discovery remains a time-consuming and costly process, necessitating innovative computational approaches to accelerate early stage target identification and compound development. We introduce AgentMol, a modular multimodel AI system that integrates large language models, chemical language modeling, and deep learning–based affinity prediction to automate the discovery pipeline. AgentMol begins with disease-related queries processed through a Retrieval-Augmented Generation system using the Large Language Model to identify protein targets. Protein sequences are then used to condition a GPT-2–based chemical language model, which generates corresponding small-molecule candidates in SMILES format. Finally, a regression convolutional neural network (RCNN) predicts the drug-target interaction by estimating binding affinities (pKi). Models were trained and validated on 470,560 ligand–protein pairs from the BindingDB database. The chemical language model achieved high validity (1.00), uniqueness (0.96), and diversity (0.89), whereas the RCNN model demonstrated robust predictive performance with R² > 0.6 and Pearson’s R > 0.8. By leveraging LangGraph for orchestration, AgentMol delivers a scalable, interpretable pipeline, effectively enabling the end-to-end generation and evaluation of drug candidates conditioned on protein targets. This system represents a significant step toward practical AI-driven molecular discovery with accessible computational demands. Full article

Background/Objectives: β-galactosidase (lactase) is a transformative enzyme used in many different fields. Its significance spans from biotechnology to food and pharmaceutical industries. β-galactosidase catalyzes the hydrolysis of lactose into glucose and galactose. In medicine, β-galactosidase has gained attention and has many applications, mainly in enzyme replacement therapy. β-galactosidase is the main active ingredient of medications for lactose intolerance. Industrially β-galactosidase is typically produced by the Aspergillus oryzae filamentous fungus. Therapeutic interventions involving β-galactosidase aim to mitigate symptoms and improve the patients’ quality of life. In the food industry, it plays a crucial role in the production of lactose-free products, improving accessibility to dairy products. However, despite its versatility and wide use, challenges connected to β-galactosidase still exist, such as the need for cost-effective and more efficient methods for administering the enzyme. Additionally, there are several ongoing studies that seek to enhance stability and optimize the performance of β-galactosidase in various applications. The aim of this manuscript is to summarize current knowledge about β-galactosidase as an active ingredient and to present some preparations that are commercially available or mentioned in the literature. Methods: A systematic search was conducted in PubMed, Scopus, Embase and Web of Science to identify relevant articles on formulations related to β-galactosidase, focusing on original research articles published between 1895 and 2025 that exclusively examine the use of oral drug delivery. Results: After a rigorous search across multiple databases, 45 relevant studies out of 1633 initial results were selected for analysis. Conclusions: β-galactosidase remains a highly versatile enzyme with broad industrial and medical relevance. While current formulations offer significant benefits, further innovation is needed to improve delivery efficiency, stability, and cost-effectiveness. The findings of this review contribute to a deeper understanding of β-galactosidase as an active ingredient and outline opportunities for advancing its application in oral drug delivery systems. Full article

The incidence and prevalence of nontuberculous mycobacterial (NTM) disease are rising. This narrative review examines the evolution of NTM disease trends over the past four decades, in Canada and globally, encompassing changing epidemiology, shifting treatment paradigms, and emerging antimicrobial resistance patterns. Challenges to NTM treatment are explored, and novel and investigational therapies are summarized. Key themes include a significant increase in NTM disease incidence, temporal shifts in the dominant species causing human infections, evolution from single-drug to multi-drug treatment approaches, and growing concerns regarding macrolide resistance. The substantial challenges with treatment tolerability, effectiveness, and access are outlined. This review synthesizes data from multiple sources, including peer-reviewed literature, clinical trials, and public health databases, to provide a comprehensive understanding of the changing NTM disease landscape in Canada and more broadly. There is a need for expanded surveillance, continued innovation, and a multidisciplinary approach to NTM management. Full article

Lyophilization (freeze-drying) has become a cornerstone pharmaceutical technology for stabilizing biopharmaceuticals, overcoming the inherent instability of biologics, vaccines, and complex drug formulations in aqueous environments. The appropriate literature for this review was identified through a structured search of several databases (such as PubMed, Scopus) covering publications from late 1990s till date, with inclusion limited to peer-reviewed studies on lyophilization processes, formulation development, and process analytical technologies. This succinct review examines both fundamental principles and cutting-edge advancements in lyophilization technology, with particular emphasis on Quality by Design (QbD) frameworks for optimizing formulation development and manufacturing processes. The work systematically analyzes the critical three-stage lyophilization cycle—freezing, primary drying, and secondary drying—while detailing how key parameters (shelf temperature, chamber pressure, annealing) influence critical quality attributes (CQAs) including cake morphology, residual moisture content, and reconstitution behavior. Special attention is given to formulation strategies employing synthetic surfactants, cryoprotectants, and stabilizers for complex delivery systems such as liposomes, nanoparticles, and biologics. The review highlights transformative technological innovations, including artificial intelligence (AI)-driven cycle optimization, digital twin simulations, and automated visual inspection systems, which are revolutionizing process control and quality assurance. Practical case studies demonstrate successful applications across diverse therapeutic categories, from small molecules to monoclonal antibodies and vaccines, showcasing improved stability profiles and manufacturing efficiency. Finally, the discussion addresses current regulatory expectations (FDA/ICH) and compliance considerations, particularly regarding cGMP implementation and the evolving landscape of AI/ML (machine learning) validation in pharmaceutical manufacturing. By integrating QbD-driven process design with AI-enabled modeling, process analytical technology (PAT) implementation, and regulatory alignment, this review provides both a strategic roadmap and practical insights for advancing lyophilized drug product development to meet contemporary challenges in biopharmaceutical stabilization and global distribution. Despite several publications addressing individual aspects of lyophilization, there is currently no comprehensive synthesis that integrates formulation science, QbD principles, and emerging digital technologies such as AI/ML and digital twins within a unified framework for process optimization. Future work should integrate advanced technologies, AI/ML standardization, and global access initiatives within a QbD framework to enable next-generation lyophilized products with improved stability and patient focus. Full article

Therapeutic peptides have gained significant attention due to their high specificity, potency, and safety profiles in treating various diseases. However, their clinical application via the oral route remains challenging. Peptides are inherently unstable in the gastrointestinal environment, where they are rapidly degraded by proteolytic enzymes and acidic pH, leading to poor bioavailability. Additionally, their large molecular size and hydrophilicity restrict passive diffusion across the epithelial barriers of the gastrointestinal tract. These limitations have traditionally necessitated parenteral administration, which reduces patient compliance and convenience. The oral cavity, comprising the buccal and sublingual mucosa, offers a promising alternative for peptide delivery. Its rich vascularization allows for rapid systemic absorption while bypassing hepatic first-pass metabolism. Furthermore, the mucosal surface provides a relatively permeable and accessible site for drug administration. However, the oral cavities also present significant barriers: the mucosal epithelium limits permeability, the presence of saliva causes rapid clearance, and enzymes in saliva contribute to peptide degradation. Therefore, innovative strategies are essential to enhance peptide stability, retention, and permeation in this environment. Nanoparticle-based delivery systems, including lipid-based carriers such as liposomes and niosomes, as well as polymeric nanoparticles like chitosan and PLGA, offer promising solutions. These nanocarriers protect peptides from enzymatic degradation, enhance mucoadhesion to prolong residence time, and facilitate controlled release. Their size and surface properties can be engineered to improve mucosal penetration, including through receptor-mediated endocytosis or by transiently opening tight junctions. Among these, niosomes have shown high encapsulation efficiency and sustained release potential, making them particularly suitable for oral peptide delivery. Despite advances, challenges remain in translating these technologies clinically, including ensuring biocompatibility, scalable manufacturing, and patient acceptance. Nevertheless, the oral cavity’s accessibility, combined with nanotechnological innovations, offers a compelling platform for personalized, non-invasive peptide therapies that could significantly improve treatment outcomes and patient quality of life. Full article

Background: Chimeric Antigen Receptor T-cell (CAR-T) cell therapy has revolutionized cancer treatment and is now being explored as a novel approach to treat refractory autoimmune diseases by targeting autoreactive immune components, especially B cells. Objective: Our aim was to provide a narrative review of the current evidence, mechanisms, efficacy, safety, and future directions of CAR-T cell therapy in autoimmune diseases. Methods: A structured literature search was conducted in MEDLINE via PubMed using keywords such as “CAR-T”, “chimeric antigen receptor T-cell”, “autoimmune diseases”, “lupus”, “rheumatoid arthritis”, “multiple sclerosis”, and “vasculitis”. Studies on CAR-T mechanisms, efficacy, safety, and clinical outcomes were included. Results: CAR-T cell therapies, especially CD19-directed constructs, demonstrated sustained drug-free remission in all patients across early SLE case series (n = 5–7), with normalization of serological markers and improved renal outcomes. Emerging preclinical and early clinical data in rheumatoid arthritis, multiple sclerosis, ANCA-associated vasculitis, juvenile autoimmune diseases, and idiopathic inflammatory myopathies also report clinical improvement and biomarker normalization. Reported adverse events in autoimmune cohorts were limited to mild cytokine release syndrome in a minority of cases, with no severe neurotoxicity or life-threatening infections, suggesting a more favorable safety profile compared to oncology settings. In parallel, next-generation innovations—including dual-target CARs, CAR-Tregs, and molecular safety switches—are advancing toward clinical translation. Conclusions: CAR-T cell therapy is emerging as a transformative strategy for autoimmune disease management, especially in refractory cases. Although initial outcomes are promising, long-term safety, cost-effectiveness, and broader accessibility remain key challenges. Future research should focus on optimizing cell targets, minimizing off-target effects, and improving affordability. Full article