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Therapeutics

Therapeutics is an international, peer-reviewed, open access journal on all the modern as well as established traditional therapeutic techniques published quarterly online by MDPI.

All Articles (39)

Galectin-3 (Gal-3) Inhibitors as Radiosensitizers for Prostate Cancer

  • Renato M. Rodrigues,
  • Bárbara Matos and
  • Margarida Fardilha
  • + 2 authors

Introduction: Radioresistance in prostate cancer (PCa) poses a major therapeutic challenge. Galectin-3 (Gal-3) is overexpressed in aggressive PCa and may contribute to resistance mechanisms. This study evaluated the role of Gal-3 in radioresistance and assessed the effect of its pharmacological inhibition using GB1107. Methods: Parental (22RV1-P) and radioresistant (22RV1-RR) PCa cell lines were treated with GB1107. Western blotting assessed Gal-3 and Protein Phosphatase 1 alpha (PP1α) expression. Cell viability (PrestoBlue™), migration (wound assay), and clonogenic survival post-irradiation were evaluated. Statistical significance was set at p < 0.05. Results: Gal-3 was significantly upregulated in 22RV1-RR cells (p = 0.0237). GB1107 reduced viability and impaired migration in both cell lines. Radiosensitisation was observed in 22RV1-P cells (p < 0.0001) but was not significant in 22RV1-RR cells (p = 0.1258). A non-significant increase in PP1α expression was detected in RR cells. Conclusion: Gal-3 contributes to radioresistance. Further studies are needed to clarify the role of PP1α and optimise Gal-3-targeted strategies.

3 February 2026

Schematic representation of the molecular interactions between PP1α and p53, and between p53 and Galectin-3 (Gal-3). PP1α directly dephosphorylates p53 at key serine residues, modulating its transcriptional activity and stability. In turn, p53 transcriptionally regulates Gal-3 expression. Created with BioRender.com.

Artificial Intelligence and Precision Pharmacotherapy in Pediatrics: A New Paradigm in Therapeutic Decision-Making

  • Gianluca Mondillo,
  • Alessandra Perrotta and
  • Fabio Giovanni Abbate
  • + 3 authors

Artificial Intelligence (AI) and Precision Medicine are increasingly influencing pediatric pharmacotherapy, where age-dependent pharmacokinetic variability demands highly individualized therapeutic strategies. This review examines current applications of AI in pediatric precision medicine and evaluates their clinical relevance and translational challenges. Recent evidence shows substantial progress across multiple domains. In pharmacogenomics, predictive models have reached R2 = 0.95 for drug exposure. Tools for adverse drug reaction detection report sensitivities of 81.5% and specificities of 79.5%. Clinical decision support systems for pediatric epilepsy have achieved diagnostic accuracies of 93.4%. Real-world implementations have been associated with a 75% reduction in prescription distribution errors and a 65% improvement in adverse drug reaction detection. Despite these advances, clinical translation remains limited: only 0.38% of pediatric AI models progress to testing in real patients, and 77% of published studies carry a high risk of bias. These gaps highlight the need for rigorous validation, improved data quality, and careful consideration of ethical and algorithmic constraints. Overall, AI has the potential to shift pediatric pharmacotherapy from empirically driven decisions toward predictive, precision-based approaches. Achieving this goal will require well-designed pediatric studies and sustained interdisciplinary collaboration to ensure safe and effective integration into clinical practice.

2 February 2026

Conceptual workflow for AI-supported precision pharmacotherapy in pediatrics, depicting the integration of genomic data, electronic health records (EHR), wearable sensors, and clinical information into AI decision-support systems. This diagram illustrates the theoretical ideal; actual real-world implementation faces substantial barriers: (1) Data quality limitations—pediatric EHR data completeness is significantly lower than adult systems, with studies reporting 30–50% missing data in critical clinical fields across even specialized pediatric centers; (2) Limited genomic integration—routine pharmacogenomic testing remains available in fewer than 10% of US pediatric hospitals, and international adoption is substantially lower due to cost, infrastructure, and regulatory barriers; (3) Wearable device availability—FDA-approved wearable sensors for pediatric use are extremely limited compared to the adult market, restricting real-time physiological data collection; (4) Infrastructure requirements—implementation requires substantial investment in interoperable EHR systems, computational infrastructure for real-time AI inference, clinical decision support integration, and healthcare provider training; (5) Geographic variation—feasibility of implementing this workflow varies dramatically between well-resourced pediatric academic medical centers and community hospitals, rural clinics, and healthcare systems in low/middle-income countries. Successful implementation of this workflow requires concurrent advances in healthcare information technology, data standardization, clinical decision support integration, and workforce training, not merely algorithmic sophistication. (ML: Machine Learning, DL: Deep Learning, LLM: Large Language Models).

Signal Peptide-CUB-EGF-like Domain-Containing Protein 3 (SCUBE3): From Molecule to Therapy

  • Ayooluwa Ilesanmi,
  • Casey Stevens-Washington and
  • Benjamin C. Onyeagucha
  • + 6 authors

Background: The signal peptide-CUB-EGF-like domain-containing protein 3 (SCUBE3) is a secretory protein that plays a role in cancer, cardiovascular, and immune disorders. SCUBE1, SCUBE2, and SCUBE3 belong to the SCUBE family. They contain multiple copies of EGF-like repeats at the amino acid terminal, a spacer region, three cysteine-rich motifs, and a CUB domain at the carboxyl terminus. The SCUBE family members are multifunctional proteins that act primarily as extracellular ligands or co-receptors in various cells. Methods: In this study, we examined the expression pattern and role of SCUBE3 in various cancers, as well as other diseases such as cardiovascular disease and immune disorders, and its impact on growth and development. Results: SCUBE3 expression is upregulated and secreted by the cells of lung cancer, hepatocellular carcinoma (HCC), melanoma, osteosarcoma, ovarian cancer, glioma, and breast cancer. Extracellular SCUBE3 protein often binds to TGFβRII or acts as a co-receptor for TGFβ and BMP2/BMP4 in regulating cellular signaling. Through the TGFβRII signaling, SCUBE3 activities promote tumor growth, metastasis, invasion, angiogenesis, and poor clinical outcomes. Conversely, in renal cell carcinoma, SCUBE3 expression suppresses growth. Altered SCUBE3 activity is associated with cardiovascular diseases, immune disorders, and hair growth. Conclusions: The review presents mechanistic evidence that SCUBE3 plays a crucial regulatory role in multiple cancers and other diseases. The evidence suggests the SCUBE3 protein could serve as a potential molecular target for various diseases and highlights its usefulness as a minimally invasive diagnostic marker, as it is a secreted protein.

28 January 2026

Schematic structure of human SCUBE family members showing the different structural components: signal peptide, EGF-like, spacer, cysteine-rich, and CUB. The cysteine-rich region is prone to cleavage by MMP2 and MMP9.
  • Brief Report
  • Open Access

Background: Hyponatremia (serum sodium levels below 135 mEq/L) is the most prevalent electrolyte imbalance, with the syndrome of inappropriate antidiuresis (SIAD) being the most common cause among inpatients. Fluid restriction is the primary treatment for SIAD, yet its efficacy is inconsistent. A novel therapeutic approach involves the use of oral vaptans, such as tolvaptan (TLV), which are non-peptide antagonists of arginine vasopressin receptors. The recommended daily dose of TLV is 15 mg; however, the risk of overcorrection and osmotic demyelination syndrome must be considered. Methods: Consequently, a more cautious approach involving a 7.5 mg dose of TLV was studied in SIAD patients to determine its safety and efficacy compared with a 15 mg dose. Results: The findings of our investigation show that the results obtained from the two doses are highly similar. However, it is important to note that the risk of overcorrection was lower in the 7.5 mg TLV group than in the 15 mg group. Furthermore, a more gradual increase in serum Na was observed in the 7.5 mg group than in the 15 mg group after the most critical first 24 h. Conclusions: TLV therapy can be initiated with a 7.5 mg dose, with serum sodium levels monitored at 12 and 24 h to confirm or adjust the TLV dose as required.

26 January 2026

Median (with interquartile range) serum Na increase following TLV dose at different times (* p &lt; 0.05 compared to T 0).

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Therapeutics - ISSN 2813-9909