The underlying mechanisms of the association of bone health with depression - an experimental study.

Background: Depression constitutes a risk factor for osteoporosis, but underlying molecular and cellular mechanisms are not fully understood. MiRNAs influence gene expression and are carried by extracellular vesicles (EV), affecting cell-cell communication.

Aims: (1) Identify the difference in miRNA expression between depressed patients and healthy controls; (2) Analyze associations of these miRNAs with bone turnover markers; (3) Analyze target genes of differentially regulated miRNAs and predict associated pathways regarding depression and bone metabolism.

Integrative deep immune profiling of the elderly reveals systems-level signatures of aging, sex, smoking, and clinical traits.

Background: Aging increases disease susceptibility and reduces vaccine responsiveness, highlighting the need to better understand the aging immune system and its clinical associations. Studying the human immune system, however, remains challenging due to its complexity and significant inter-individual variability.

Methods: We conducted an immune profiling study of 550 elderly participants (≥60 years) and 100 young controls (20-40 years) from the RESIST Senior Individuals (SI) cohort.

Hope for the best, but prepare for the worst - Diagnostic accuracy of the American College of Surgeons National Surgical Quality Improvement Program - Risk model for patients undergoing abdominoplasty after massive weight loss - Results from a Retrospective Cohort Study.

Background: This study aimed to validate the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) risk calculator for predicting outcomes in patients undergoing abdominoplasty after massive weight loss.

Methods: Patients' characteristics, pre-existing comorbidities and adverse outcomes in our department from 2013 to 2023 were collected retrospectively. Adverse events were defined according to ACS-NSQIP standards and predicted risks were calculated manually using the ACS-NSQIP risk calculator.

Design, Synthesis, and SAR of Covalent KIT and PDGFRA Inhibitors─Exploring Their Potential in Targeting GIST.

Gastrointestinal stromal tumors (GIST), driven by KIT and PDGFRA mutations, are the most common mesenchymal tumors of the gastrointestinal tract. Although tyrosine kinase inhibitors (TKIs) have advanced treatment, resistance mutations and off-target toxicity limit their efficacy. This study develops covalent TKIs targeting drug-resistant GIST through structure-based design, synthesis, and biological evaluation.