Lipidomics, a rapidly evolving field within metabolomics, provides comprehensive insights into lipid profiles and their roles in health and disease. Advances in lipidomics have enabled the discovery of novel biomarkers with significant clinical applications, revolutionizing the diagnosis, prognosis, and therapeutic monitoring of various diseases. Emerging methodologies, including high-resolution mass spectrometry (HRMS), Ion mobility spectrometry (IMS), and Supercritical Fluid Chromatography (SFC) have enhanced lipid identification and quantification with remarkable analytical whip hands. These advancements are complemented by innovative sample preparation techniques ensuring the recovery of diverse lipid species with minimal degradation. Biomarker discovery with lipidomics has illuminated critical pathways in numerous diseases, including cardiovascular disorders, neurodegenerative conditions, metabolic syndromes, and cancers. Specific lipid classes, such as sphingolipids (SLs) and phospholipids (PLs) have been linked to Alzheimer's disease and diabetes, respectively, while oxylipins and eicosanoids are emerging as inflammatory biomarkers. Furthermore, lipidomic profiles have shown promise in personalized medicine, enabling the stratification of patient sub-populations and tailoring treatment strategies. This review emphasizes the latest innovative developments in analytical technologies, advanced sample preparation techniques and challenges for lipidomics research including bioinformatic tools on multiple clinical conditions. By exploring these cutting-edge developments, this review highlights the transformative potential of lipidomics in biomarker discovery across diverse clinical applications.
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http://dx.doi.org/10.1016/j.talanta.2025.127855 | DOI Listing |
Curr Opin Urol
March 2025
Department of Pediatric Urology, Oregon Health and Science University, Portland, Oregon, USA.
Purpose Of Review: There has been an explosion of creative uses of artificial intelligence (AI) in healthcare, with AI being touted as a solution for many problems facing the healthcare system. This review focuses on tools currently available to pediatric urologists, previews up-and-coming technologies, and highlights the latest studies investigating benefits and limitations of AI in practice.
Recent Findings: Imaging-driven AI software and clinical prediction tools are two of the more exciting applications of AI for pediatric urologists.
Front Pediatr
February 2025
Department of Pediatric, Pediatric Critical Care Unit, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: Artificial Intelligence (AI) has the potential to revolutionize Pediatric Intensive Care Units (PICUs) by enhancing diagnostic accuracy, improving patient outcomes, and streamlining routine tasks. However, integrating AI into PICU environments poses significant ethical and data privacy challenges, necessitating effective governance and robust regulatory frameworks to ensure safe and ethical implementation. This study aimed to explore valuable insights into healthcare professionals' current perceptions and readiness to adopt AI in pediatric critical care, highlighting the opportunities and challenges ahead.
View Article and Find Full Text PDFIndian J Otolaryngol Head Neck Surg
January 2025
Department of Endocrinology, Joshi Clinic, Mumbai, India.
Allergen immunotherapy (AIT), or specific immunotherapy (SIT), is an effective treatment for inducing immune tolerance to specific allergens. It is widely used for allergic rhinitis, conjunctivitis, asthma, and Hymenoptera venom allergies, with recent applications to food allergies and atopic dermatitis. Despite its benefits, the use of SIT in patients with autoimmune diseases is controversial due to concerns about its potential to induce or exacerbate autoimmune conditions.
View Article and Find Full Text PDFFront Cardiovasc Med
February 2025
Aortic Institute at Yale-New Haven, Yale University School of Medicine, New Haven, CT, United States.
Thoracic aortic aneurysm and dissection (TAAD) significantly impact cardiovascular morbidity and mortality. A large subset of TAAD cases, particularly those with an earlier onset, is linked to heritable genetic defects. Despite progress in characterizing genes associated with both syndromic and non-syndromic heritable TAAD, the causative gene remains unknown in most cases.
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