Cellular senescence regulates aging, tissue maintenance, and disease progression through the Senescence-Associated Secretory Phenotype (SASP), a secretory profile of cytokines, chemokines, growth factors, and matrix-remodeling enzymes. While transient SASP aids wound healing, its chronic activation drives inflammation, fibrosis, and tumorigenesis. This review examines SASP’s molecular regulation, dual roles in health and pathology, and therapeutic potential. The following two main strategies are explored: senescence clearance, which eliminates SASP-producing cells, and SASP modulation, which refines secretion to suppress inflammation while maintaining regenerative effects. Key pathways, including NF-κB, C/EBPβ, and cGAS-STING, are discussed alongside pharmacological, immunotherapeutic, gene-editing, and epigenetic interventions. SASP heterogeneity necessitates tissue-specific biomarkers for personalized therapies. Challenges include immune interactions, long-term safety, and ethical considerations. SASP modulation emerges as a promising strategy for aging, oncology, and tissue repair, with future advancements relying on multi-omics and AI-driven insights to optimize clinical outcomes.

Cyclophosphamide (CPM) is a classical alkylating agent used in different cancer chemotherapy regimens and is restricted due to severe adverse effects, including hepatotoxicity. Natural or plant-derived antioxidants such as capsaicin were utilized in this study to examine the hepatoprotective benefits against cyclophosphamide-induced hepatotoxicity. The rats were divided into five groups: a normal control group, a toxic group (CPM), an intraperitoneal injection of a single dose of 200 mg/kg b.w. on the fourth day, a pretreated group with two doses of CPS (10 mg and 20 mg/kg b.w.) orally for six consecutive days, and an intraperitoneal administration of 200 mg/kg b.w. on the fourth day of treatment. The fifth group was administered with the highest dose of CPS (20 mg/kg b.w.) orally for six consecutive days. After 24 h of administration of CPS, the rats were anesthetized, blood was collected, and the serum enzyme toxicity was evaluated. After the blood sampling and euthanasia of all the animals, the liver was isolated for further toxicity and histopathological examination. The results revealed that serum liver markers (AST, ALT, ALP, BLI) significantly increased after CPM administration, but were subsequently restored after CPS treatment with both doses. In addition, lipid peroxidation (MDA), inflammatory cytokines (IL-1β, TNF-α), and apoptotic markers (Caspase-3) increased, and antioxidant enzymes (GSH, CAT, SOD) were significantly decreased after CPM administration, and it was re-established by CPS treatment. However, CPS effectively protected against the CPM-induced histopathological architects of liver tissues. In conclusion, CPS attenuates CPM-induced hepatotoxicity via modulating oxidative stress, apoptotic signals, and cytokine pathway. Therefore, CPS could play a significant role as a supplement during the chemotherapy of patients.

Pharmacogenomics is revolutionizing precision medicine by enabling tailored therapeutic strategies based on an individual genetic and molecular profile. Circular RNAs (circRNAs), a distinct subclass of endogenous non-coding RNAs, have recently emerged as key regulators of drug resistance, tumor progression, and therapeutic responses. Their covalently closed circular structure provides exceptional stability and resistance to exonuclease degradation, positioning them as reliable biomarkers and novel therapeutic targets in cancer management. This review provides a comprehensive analysis of the interplay between circRNAs and pharmacogenomics, focusing on their role in modulating drug metabolism, therapeutic efficacy, and toxicity profiles. We examine how circRNA-mediated regulatory networks influence chemotherapy resistance, alter targeted therapy responses, and impact immunotherapy outcomes. Additionally, we discuss emerging experimental tools and bioinformatics techniques for studying circRNAs, including multi-omics integration, machine learning-driven biomarker discovery, and high-throughput sequencing technologies. Beyond their diagnostic potential, circRNAs are being actively explored as therapeutic agents and drug delivery vehicles. Recent advancements in circRNA-based vaccines, engineered CAR-T cells, and synthetic circRNA therapeutics highlight their transformative potential in oncology. Furthermore, we address the challenges of standardization, reproducibility, and clinical translation, emphasizing the need for rigorous biomarker validation and regulatory frameworks to facilitate their integration into clinical practice. By incorporating circRNA profiling into pharmacogenomic strategies, this review underscores a paradigm shift toward highly personalized cancer therapies. circRNAs hold immense potential to overcome drug resistance, enhance treatment efficacy, and optimize patient outcomes, marking a significant advancement in precision oncology.

Trastuzumab (TZB) is a new medicine, used to treat cancers of the breast and stomach. However, the cardiotoxic potential of this drug edges out its clinical advantages. The present study was designed to find out the effect of zingerone against trastuzumab-mediated cardiotoxicity in rats. In this study, five groups of rats with eight animals in each group were used. Group 1 was treated with normal saline, as a normal control (NC); Group 2 was treated with TZB (6 mg/kg/week-for five weeks) intraperitoneally as a toxic control. Groups 3 and 4 were pre-treated with zingerone (50 and 100 mg/kg, as per their body weight orally) along with five doses of TZB for five weeks, and Group 5 was treated with zingerone (100 mg/kg, body weight orally) as a control. TZB treatment showed cardiotoxicity as evidenced by increased levels of aspartate aminotransferase (AST), creatine kinase-myocardial band (CK-MB), lactate dehydrogenase (LDH), and lipid peroxidation (LPO) and decreased level of glutathione (GSH), and antioxidant enzymes such as glutathione peroxidase (GPx), glutathione reductase (GR), glutathione-s- transferase (GST), catalase (CAT), and superoxide dismutase (SOD) activities. Zingerone pre-treatment significantly decreased the levels of AST, CK-MB, LDH, and LPO and increased GSH and antioxidant enzymes content toward their normal level. In the TZB-alone administered group, inflammatory cytokines (IL-2 and TNF-α) levels were also elevated. Pre-treatment with zingerone restored the level of IL-2 and TNF-α toward normal level. The current findings undoubtedly demonstrated zingerone’s cardioprotective nature against TZB-mediated cardiotoxicity in rats with the evidence of histopathological recall.

Background: Artificial Intelligence (AI) is transforming healthcare education, offering innovative tools to enhance learning and clinical decision-making. AI-driven platforms like ChatGPT are increasingly integrated into pharmacy education, enabling students to access vast medical knowledge, refine decision-making skills, and simulate clinical scenarios. Objective: This study examines pharmacy students’ attitudes, knowledge, and practices regarding ChatGPT’s use in clinical decision-making, evaluates its perceived benefits and limitations, and identifies factors influencing AI integration in pharmacy education. Methodology: A cross-sectional study was conducted among 512 pharmacy students at King Khalid University. A structured questionnaire assessed demographics, knowledge, attitudes, and practices. Data were analyzed using SPSS, employing descriptive statistics, chi-square tests, and logistic regression. Results: The majority (82.4%) supported AI integration in pharmacy education, while 74.6% believed that ChatGPT could enhance clinical decision-making. Primary applications included drug information retrieval (72.3%) and exam preparation (66.7%). However, concerns about AI accuracy (55.2%) and ethical implications were noted. Conclusions: Pharmacy students at King Khalid University exhibit positive attitudes toward AI, recognizing its educational benefits while acknowledging challenges. Addressing accuracy concerns and ethical considerations through structured AI training programs is essential to optimize AI’s role in pharmacy education and practice.