Publications by authors named "E W Lederer"
Objective: To describe a method of estimating the carbon emissions resulting from 10 clinical canine surgical procedures.
Study Design: Prospective observational cohort study.
Animals: A total of 10 adult client-owned dogs presenting to two private referral centres in the UK for tibial plateau levelling osteotomy (TPLO) using either isoflurane or sevoflurane for maintenance of anaesthesia.
Article Synopsis
- - Hutchinson-Gilford Progeria Syndrome (HGPS) is a rare genetic disorder caused by a mutation in the LMNA gene, leading to the production of a defective protein called progerin that disrupts cellular structures and accelerates aging.
- - Our research analyzed various organs in a mouse model of HGPS, revealing significant organ-specific damage characterized by fibrosis, inflammation, and dysfunction across multiple systems like the skin, heart, and lungs.
- - The study emphasizes that while HGPS causes systemic damage, each organ reacts differently to progerin, suggesting unique mechanisms of tissue-specific damage and highlighting the roles of chronic inflammation and fibrosis in accelerated aging.
The thymus is essential for establishing adaptive immunity yet undergoes age-related involution that leads to compromised immune responsiveness. The thymus is also extremely sensitive to acute insult and although capable of regeneration, this capacity declines with age for unknown reasons. We applied single-cell and spatial transcriptomics, lineage-tracing and advanced imaging to define age-related changes in nonhematopoietic stromal cells and discovered the emergence of two atypical thymic epithelial cell (TEC) states.
View Article and Find Full Text PDFChronic kidney disease mineral bone disorder (CKD-MBD) is a complex clinical syndrome responsible for the accelerated cardiovascular mortality seen in individuals afflicted with CKD. Current approaches to therapy have failed to improve clinical outcomes adequately, likely due to targeting surrogate biochemical parameters as articulated by the guideline developer, Kidney Disease: Improving Global Outcomes (KDIGO). We hypothesized that using a Systems Biology Approach combining machine learning with mathematical modeling, we could test a novel approach to therapy targeting the abnormal movement of mineral out of bone and into soft tissue that is characteristic of CKD-MBD.
View Article and Find Full Text PDFArticle Synopsis
- * Factors hindering progress in managing CKD-MBD include poor understanding of the disease's mechanisms, lack of early treatment targets, and diverse clinical symptoms among patients.
- * A new strategy combining mathematical modeling and machine learning aims to generate hypotheses and develop personalized therapies, potentially enhancing early intervention and overall treatment for CKD-MBD.