The current healthcare system is widely based on the concept of "one size fit for all", which emphasizes treating a disease by prescribing the same drug to all patients with equivalent doses and dosing frequency. This medical treatment scenario has shown varied responses with either no or weak pharmacological effects and exaggerated adverse reactions preceded by more patient complications. The hitches to the concept of "one size fits all" have devoted the attention of many researchers to unlocking the concept of personalized medicine (PM). PM delivers customized therapy with the highest safety margin for an individual patient's needs. PM has the potential to revolutionize the current healthcare system and pave the way to alter drug choices and doses according to a patient's clinical responses, providing physicians with the best treatment outcomes. The 3D printing techniques is a solid-form fabrication method whereby successive layers of materials based on computer-aided designs were deposited to form 3D structures. The 3D printed formulation achieves PM goals by delivering the desired dose according to patient needs and drug release profile to achieve a patient's personal therapeutic and nutritional needs. This pre-designed drug release profile attains optimum absorption and distribution, exhibiting maximum efficacy and safety profiles. This review aims to focus on the role of the 3D printing technique as a promising tool to design PM in metabolic syndrome (MS).
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http://dx.doi.org/10.3390/pharmaceutics15041152 | DOI Listing |
Burns Trauma
January 2025
Department of Critical Care Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing, Jiangsu 210008, China.
Background: Non-thyroidal illness syndrome is commonly observed in critically ill patients, characterized by the inactivation of systemic thyroid hormones (TH), which aggravates metabolic dysfunction. Recent evidence indicates that enhanced TH inactivation is mediated by the reactivation of type 3 deiodinase (Dio3) at the tissue level, culminating in a perturbed local metabolic equilibrium. This study assessed whether targeted inhibition of Dio3 can maintain tissue metabolic homeostasis under septic conditions and explored the mechanism behind Dio3 reactivation.
View Article and Find Full Text PDFFront Physiol
January 2025
College of Dental Medicine, Lincoln Memorial University, Harrogate, TN, United States.
RSC Adv
January 2025
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, King Abdulaziz University P.O. Box 80260 Jeddah 21589 Saudi Arabia +966 553399718.
A mutual prodrug of sertraline-methylpropyphenazone (SER-MP) was prepared and characterized using a spectral method. The yield of the prepared SER-MP was 90%, and its purity reached 98.8%.
View Article and Find Full Text PDFNiger Med J
January 2025
Department Of Medicine, College of Medicine, University of Lagos, Nigeria & Consultant Cardiologist, Lagos University Teaching Hospital, Lagos, Nigeria.
Background: The hypertriglyceridemic waist (HTGW) phenotype was introduced as a means of identifying individuals at risk of developing metabolic syndrome as well as cardiovascular diseases and diabetes. However, studies surrounding the prevalence of the phenotype and its relationship with established markers of cardiometabolic risk, especially in the Nigerian population, remain sparse. This study aimed to determine the prevalence of the HTGW phenotype and explore its relationship with cardiovascular risk markers, namely Castelli Risk Indices I and II (CRI-I and CRI-II), Atherogenic Index of Plasma (AIP) and serum triglyceride-HDL cholesterol ratio (TG/HDL).
View Article and Find Full Text PDFIndian J Occup Environ Med
December 2024
Department of Community Medicine, Shri M. P. Shah Government Medical College, Jamnagar, Gujarat, India.
Background: Female healthcare workers have unique occupational stressors and lifestyle factors that may increase their risk of metabolic disorders. This study aimed to investigate the utility of the fatty liver index (FLI) as a predictor of metabolic syndrome among female employees in the healthcare sector.
Methods: This cross-sectional study included 450 female healthcare workers aged ≥18 years, employed in various roles at a tertiary healthcare facility in Gujarat.
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